diff --git a/TEMPO/L2_validation_codes/TEMPO_HCHO_V04_validation_with_Pandora_Harmony.ipynb b/TEMPO/L2_validation_codes/TEMPO_HCHO_V04_validation_with_Pandora_Harmony.ipynb index 4eda5ee..e7845c0 100644 --- a/TEMPO/L2_validation_codes/TEMPO_HCHO_V04_validation_with_Pandora_Harmony.ipynb +++ b/TEMPO/L2_validation_codes/TEMPO_HCHO_V04_validation_with_Pandora_Harmony.ipynb @@ -29,7 +29,7 @@ "\n", "TEMPO data files are read by means of netCDF library that needs to be installed first.\n", "\n", - "Pandora data files are ASCII files with header and space separated columns. Custome made function is included to read nitrogen dioxide total column along with its total uncertainty.\n", + "Pandora data files are ASCII files with header and space separated columns. Custome made function is included to read formaldehyde total column along with its total uncertainty.\n", "\n", "This code takes into account quality flags (QFs) from both TEMPO and Pandora. This is implemented as follow. On the TEMPO side, data set \"/product/main_data_quality_flag\" is read, all pixels with non-zero QFs are discarded, however negative values of total HCHO column are NOT discarded and used for averaging/interpolationg to the point of interest. For the purpose of physical sanity, another way is also implemented, i.e., negative retrievals are not used in averaging. Therefore, TWO values are returned, total_HCHO_col, and total_HCHO_col_noneg. On Pandora side negative columns also occur despite high quality flags, though they are rare. So, two Pandora time series are considered - with and without negative columns.\n", "\n", @@ -151,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "id": "IAAuhYMcEkvP" }, @@ -175,6 +175,7 @@ "from urllib.request import urlopen # needed to search for and download Pandora data\n", "from pathlib import Path # needed to check whether a needed data file is already downloaded\n", "from datetime import datetime # needed to work with time in plotting time series\n", + "from collections import defaultdict\n", "\n", "from harmony import BBox, Client, Collection, Request\n", "from harmony.config import Environment\n", @@ -213,7 +214,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "id": "kB3wW0-D1RP2" }, @@ -253,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": { "id": "tpF3vEOD1dsm" }, @@ -324,7 +325,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": { "id": "PI8UerY82LoQ" }, @@ -385,7 +386,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "id": "9XMu3iAp27yx" }, @@ -502,7 +503,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": { "id": "zVJY6k5i3qat" }, @@ -587,7 +588,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": { "id": "Or7hNgjA4oUi" }, @@ -724,7 +725,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -753,7 +754,7 @@ "\n", " geolocations (arrays lat_loc and lon_loc) of 4 TEMPO pixels such that the quadrilateral of their centers contains the POI;\n", "\n", - " tropospheric NO2 columns at those 4 pixels along with their uncertainties and quality flags (arrays total_HCHO_column_loc, total_HCHO_column_unc_loc, and total_HCHO_column_QF_loc);\n", + " formaldehyde total columns at those 4 pixels along with their uncertainties and quality flags (arrays total_HCHO_column_loc, total_HCHO_column_unc_loc, and total_HCHO_column_QF_loc);\n", "\n", " 3 different averages of the HCHO total column at the POI:\n", "\n", @@ -766,7 +767,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -947,7 +948,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -955,9 +956,8 @@ "\n", " fout = open(ts_fname, 'r')\n", "\n", - " # header1 = fout.readline()\n", - " # header2 = fout.readline()\n", - " data_lines_noneg = fout.readlines()\n", + " lines = fout.readlines()\n", + " data_lines = lines[2 : ] #first two lines are header and need to be skipped\n", "\n", " fout.close()\n", "\n", @@ -979,7 +979,7 @@ "\n", " time_series = np.empty([0, 3])\n", "\n", - " for line in data_lines_noneg:\n", + " for line in data_lines:\n", " split = line.split()\n", " date = split[0]\n", " time = split[1]\n", @@ -1026,7 +1026,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1050,7 +1050,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1061,7 +1061,7 @@ ] }, { - "name": "stdout", + "name": "stdin", "output_type": "stream", "text": [ "Username: alexrad71\n", @@ -1097,7 +1097,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1159,6 +1159,7 @@ "CameronLA\n", "CapeElizabethME\n", "Cebu\n", + "ChacoCultureNM\n", "ChapelHillNC\n", "CharlesCityVA\n", "ChelseaMA\n", @@ -1176,6 +1177,7 @@ "DearbornMI\n", "DeBilt\n", "Dhaka\n", + "DinosaurUT\n", "Downsview\n", "EastProvidenceRI\n", "EdwardsCA\n", @@ -1283,6 +1285,7 @@ "SWDetroitMI\n", "Tel-Aviv\n", "Thessaloniki\n", + "TitoScaloPZ-CNR-IMAA\n", "Tokyo-Sophia\n", "Tokyo-TMU\n", "Toronto-CNTower\n", @@ -1314,6 +1317,30 @@ "Yongin\n" ] }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter a name of a Pandora site: BoulderCO-NCAR\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BoulderCO-NCAR\n", + "site BoulderCO-NCAR was found and added to the list of sites \n", + "the following sites were selected\n", + "BoulderCO-NCAR\n", + "from the list of existing Pandora sites\n", + "https://data.pandonia-global-network.org/BoulderCO-NCAR/Pandora204s1/L2/Pandora204s1_BoulderCO-NCAR_L2_rfus5p1-8.txt\n", + "https://data.pandonia-global-network.org/BoulderCO-NCAR/Pandora252s1/L2/Pandora252s1_BoulderCO-NCAR_L2_rfus5p1-8.txt\n", + "Pandora204s1_BoulderCO-NCAR_L2_rfus5p1-8.txt exits in local directory\n", + "Pandora252s1_BoulderCO-NCAR_L2_rfus5p1-8.txt does not exit in local directory, downloading from the web\n", + "https://data.pandonia-global-network.org/BoulderCO-NCAR/Pandora252s1/L2/Pandora252s1_BoulderCO-NCAR_L2_rfus5p1-8.txt\n", + "Pandora L2 file https://data.pandonia-global-network.org/BoulderCO-NCAR/Pandora252s1/L2/Pandora252s1_BoulderCO-NCAR_L2_rfus5p1-8.txt does not exist\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -1415,7 +1442,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1431,6 +1458,21 @@ "enter period of interest, start and end dates, in the form YYYYMMDD\n" ] }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "enter start date of interest 20240711\n", + "enter end date of interest 20240807\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024 7 11 2024 8 7\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -1479,7 +1521,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1492,10 +1534,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "location name HamptonVA-HU\n", - "location latitude 37.0203\n", - "location longitude -76.3366\n", - "594 Pandora measurements found within period of interes between 2024-07-12 00:00:00 and 2024-08-07 23:59:59\n" + "location name BoulderCO-NCAR\n", + "location latitude 40.0375\n", + "location longitude -105.242\n", + "812 Pandora measurements found within period of interes between 2024-07-11 00:00:00 and 2024-08-07 23:59:59\n" ] } ], @@ -1530,7 +1572,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 17, "metadata": { "id": "Za0rC_qA7oiN" }, @@ -1545,8 +1587,17 @@ "POI_name_ = POI_name.replace(' ','_')\n", "Pandora_out = open(out_Q+'_Pandora_'+datestamp_ini+'_'+datestamp_fin+'_'\\\n", "+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1])), 'w')\n", + "\n", + "Pandora_out.write(\"timeseries of Pandora HCHO tot column at \"\n", + " + POI_name\n", + " + \" \"\n", + " + str(\"%08.4fN %08.4fW\" % (POI[0], -POI[1]))\n", + " + \"\\n\"\n", + ")\n", + "Pandora_out.write(\"yyyy mm dd hh mn ss \" + out_Q_unit + \"\\n\")\n", + "\n", "for line in Pandora_data:\n", - " Pandora_out.write(str('%4.4i %2.2i %2.2i %2.2i %2.2i %4.1f %12.4e %12.4e\\n'\\\n", + " Pandora_out.write(str('%4.4i-%2.2i-%2.2i %2.2i:%2.2i:%04.1f %12.4e %12.4e\\n'\\\n", " %(line[0], line[1], line[2], line[3], line[4], line[5], line[6], line[7])))\n", "Pandora_out.close()" ] @@ -1572,7 +1623,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1586,361 +1637,336 @@ "name": "stdout", "output_type": "stream", "text": [ - "TEMPO_HCHO_L2_V04_20240712T105030Z_S001G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T105030Z_S001G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T113035Z_S002G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T121040Z_S003G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T125045Z_S004G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T133053Z_S005G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T143053Z_S006G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T153053Z_S007G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T163053Z_S008G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T173053Z_S009G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T183053Z_S010G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T193053Z_S011G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T203053Z_S012G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T213053Z_S013G03.nc\n", - "TEMPO_HCHO_L2_V04_20240712T223053Z_S014G03.nc\n", - "TEMPO_HCHO_L2_V04_20240713T105046Z_S001G03.nc\n", - "TEMPO_HCHO_L2_V04_20240713T113051Z_S002G03.nc\n", - "TEMPO_HCHO_L2_V04_20240713T121056Z_S003G03.nc\n", - "TEMPO_HCHO_L2_V04_20240713T125101Z_S004G03.nc\n", - "TEMPO_HCHO_L2_V04_20240713T133109Z_S005G03.nc\n", - "TEMPO_HCHO_L2_V04_20240713T143109Z_S006G03.nc\n", - "TEMPO_HCHO_L2_V04_20240713T153109Z_S007G03.nc\n", - 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"TEMPO_HCHO_L2_V04_20240728T203154Z_S012G07.nc\n", + "TEMPO_HCHO_L2_V04_20240728T213154Z_S013G07.nc\n", + "TEMPO_HCHO_L2_V04_20240728T223154Z_S014G07.nc\n", + "TEMPO_HCHO_L2_V04_20240728T231159Z_S015G04.nc\n", + "TEMPO_HCHO_L2_V04_20240728T235204Z_S016G04.nc\n", + "TEMPO_HCHO_L2_V04_20240729T003209Z_S017G04.nc\n", + "TEMPO_HCHO_L2_V04_20240729T011214Z_S018G04.nc\n", + "TEMPO_HCHO_L2_V04_20240729T143210Z_S006G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T153210Z_S007G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T163210Z_S008G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T173210Z_S009G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T183210Z_S010G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T193210Z_S011G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T203210Z_S012G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T213210Z_S013G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T223210Z_S014G07.nc\n", + "TEMPO_HCHO_L2_V04_20240729T231215Z_S015G04.nc\n", + "TEMPO_HCHO_L2_V04_20240729T235220Z_S016G04.nc\n", + 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"TEMPO_HCHO_L2_V04_20240731T223242Z_S014G07.nc\n", + "TEMPO_HCHO_L2_V04_20240731T231247Z_S015G04.nc\n", + "TEMPO_HCHO_L2_V04_20240731T235252Z_S016G04.nc\n", + "TEMPO_HCHO_L2_V04_20240801T003257Z_S017G04.nc\n", + "TEMPO_HCHO_L2_V04_20240801T011302Z_S018G04.nc\n", + "TEMPO_HCHO_L2_V04_20240801T143258Z_S006G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T153258Z_S007G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T163258Z_S008G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T173258Z_S009G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T183258Z_S010G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T193258Z_S011G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T203258Z_S012G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T213258Z_S013G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T223258Z_S014G07.nc\n", + "TEMPO_HCHO_L2_V04_20240801T231303Z_S015G04.nc\n", + "TEMPO_HCHO_L2_V04_20240801T235308Z_S016G04.nc\n", + "TEMPO_HCHO_L2_V04_20240802T003313Z_S017G04.nc\n", + "TEMPO_HCHO_L2_V04_20240802T011318Z_S018G04.nc\n", + 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"TEMPO_HCHO_L2_V04_20240803T213328Z_S012G07.nc\n", + "TEMPO_HCHO_L2_V04_20240803T223328Z_S013G07.nc\n", + "TEMPO_HCHO_L2_V04_20240803T231333Z_S014G04.nc\n", + "TEMPO_HCHO_L2_V04_20240803T235338Z_S015G04.nc\n", + "TEMPO_HCHO_L2_V04_20240804T003343Z_S016G04.nc\n", + "TEMPO_HCHO_L2_V04_20240804T011348Z_S017G04.nc\n", + "TEMPO_HCHO_L2_V04_20240804T143342Z_S006G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T153342Z_S007G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T163342Z_S008G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T173342Z_S009G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T183342Z_S010G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T193342Z_S011G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T203342Z_S012G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T213342Z_S013G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T223342Z_S014G07.nc\n", + "TEMPO_HCHO_L2_V04_20240804T231347Z_S015G04.nc\n", + "TEMPO_HCHO_L2_V04_20240804T235352Z_S016G04.nc\n", + "TEMPO_HCHO_L2_V04_20240805T003357Z_S017G04.nc\n", + "TEMPO_HCHO_L2_V04_20240805T011402Z_S018G04.nc\n", + "TEMPO_HCHO_L2_V04_20240805T143357Z_S006G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T153357Z_S007G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T163357Z_S008G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T173357Z_S009G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T183357Z_S010G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T193357Z_S011G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T203357Z_S012G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T213357Z_S013G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T223357Z_S014G07.nc\n", + "TEMPO_HCHO_L2_V04_20240805T231402Z_S015G04.nc\n", + "TEMPO_HCHO_L2_V04_20240805T235407Z_S016G04.nc\n", + "TEMPO_HCHO_L2_V04_20240806T003412Z_S017G04.nc\n", + "TEMPO_HCHO_L2_V04_20240806T011417Z_S018G04.nc\n", + "TEMPO_HCHO_L2_V04_20240806T143412Z_S006G07.nc\n", + "TEMPO_HCHO_L2_V04_20240806T153412Z_S007G07.nc\n", + "TEMPO_HCHO_L2_V04_20240806T163412Z_S008G07.nc\n", + "TEMPO_HCHO_L2_V04_20240806T173412Z_S009G07.nc\n", + "TEMPO_HCHO_L2_V04_20240806T183412Z_S010G07.nc\n", + "TEMPO_HCHO_L2_V04_20240806T193412Z_S011G07.nc\n", + "TEMPO_HCHO_L2_V04_20240806T203412Z_S012G07.nc\n", + "TEMPO_HCHO_L2_V04_20240806T213412Z_S013G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T143426Z_S006G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T153426Z_S007G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T163426Z_S008G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T173426Z_S009G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T183426Z_S010G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T193426Z_S011G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T203426Z_S012G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T213426Z_S013G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T223426Z_S014G07.nc\n", + "TEMPO_HCHO_L2_V04_20240807T231431Z_S015G04.nc\n", + "TEMPO_HCHO_L2_V04_20240807T235436Z_S016G04.nc\n" ] } ], @@ -1978,7 +2004,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -2005,39 +2031,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "00000000\n" - ] - } - ], + "outputs": [], "source": [ - "date_ini = \"00000000\"\n", - "print(date_ini)\n", - "\n", - "day = []\n", - "cnt = 0\n", - "dd = np.empty([len(fnames)], dtype = object)\n", + "# Group filenames by date, extracted from 5th underscore-delimited segment\n", + "# (e.g. \"..._20230415T123000Z_...\" → \"20230415\"). Sorted iteration + dict\n", + "# insertion-order guarantee ensures date groups are chronological.\n", + "groups = defaultdict(list)\n", "for fname in sorted(fnames):\n", - " dateTtimeZ = fname.split(\"_\")[4]\n", - " date = dateTtimeZ.split('T')[0]\n", - "\n", - " if date != date_ini:\n", - " if day != []:\n", - " dd[cnt] = day\n", - " cnt += 1\n", - " day = [fname]\n", - " date_ini = date\n", - " else:\n", - " day.append(fname)\n", + " date = fname.split(\"_\")[4].split(\"T\")[0]\n", + " groups[date].append(fname)\n", "\n", - "dd[cnt] = day # this account for the last chunk; otherwise, it will be lost\n", - "days = dd[(dd is not None)]" + "days = np.array(list(groups.values()), dtype=object)" ] }, { @@ -2051,7 +2057,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 21, "metadata": { "scrolled": true }, @@ -2060,7 +2066,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "jobID = ac941b91-8137-400a-9154-d179cdb6b1aa\n" + "jobID = 5a8735b0-f1ba-41fe-a624-a0332eb4f7a5\n" ] }, { @@ -2074,148 +2080,467 @@ "name": "stdout", "output_type": "stream", "text": [ + "./222139746_TEMPO_HCHO_L2_V04_20240711T135704Z_S005G07_subsetted.nc\n", + "./222139748_TEMPO_HCHO_L2_V04_20240711T155704Z_S007G07_subsetted.nc\n", + "./222139747_TEMPO_HCHO_L2_V04_20240711T145704Z_S006G07_subsetted.nc\n", + "./222139749_TEMPO_HCHO_L2_V04_20240711T165704Z_S008G07_subsetted.nc\n", + "./222139750_TEMPO_HCHO_L2_V04_20240711T175704Z_S009G07_subsetted.nc\n", + "./222139751_TEMPO_HCHO_L2_V04_20240711T185704Z_S010G07_subsetted.nc\n", + "./222139752_TEMPO_HCHO_L2_V04_20240711T195704Z_S011G07_subsetted.nc\n", + "./222139753_TEMPO_HCHO_L2_V04_20240711T205704Z_S012G07_subsetted.nc\n", + "./222139754_TEMPO_HCHO_L2_V04_20240711T215704Z_S013G07_subsetted.nc\n", + "./222139755_TEMPO_HCHO_L2_V04_20240711T225704Z_S014G07_subsetted.nc\n", + "./222139756_TEMPO_HCHO_L2_V04_20240711T233709Z_S015G04_subsetted.nc\n", + "Number of result files: 11\n", + "222139746_TEMPO_HCHO_L2_V04_20240711T135704Z_S005G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.054493 -105.225212 1.6716e+15 6.3710e+15 0\n", + " 10 693 40.033974 -105.220200 9.9893e+15 5.6214e+15 0\n", + " 11 692 40.054871 -105.284424 4.2091e+15 5.7609e+15 0\n", + " 11 693 40.034702 -105.279572 1.2148e+16 5.8599e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 13:58:02.789264+00:00, HCHO col 9.4281e+15, unc 5.8252e+15\n", + "no negative: averaged time 2024-07-11 13:58:02.789264+00:00, HCHO col 9.4281e+15, unc 5.8252e+15\n", + "no Small: averaged time 2024-07-11 13:58:03.232894+00:00, HCHO col 1.1069e+16, unc 5.7406e+15\n", + "222139748_TEMPO_HCHO_L2_V04_20240711T155704Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.057350 -105.244171 6.1010e+15 5.2953e+15 0\n", + " 10 692 40.036873 -105.239174 5.6558e+14 5.1758e+15 0\n", + " 11 691 40.056232 -105.302246 5.8236e+15 6.1356e+15 0\n", + " 11 692 40.036762 -105.297737 3.5269e+15 6.2504e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 15:58:01.849884+00:00, HCHO col 8.7158e+14, unc 5.2286e+15\n", + "no negative: averaged time 2024-07-11 15:58:01.849884+00:00, HCHO col 8.7158e+14, unc 5.2286e+15\n", + "no Small: averaged time 2024-07-11 15:58:01.711505+00:00, HCHO col 6.1010e+15, unc 5.2953e+15\n", + "222139747_TEMPO_HCHO_L2_V04_20240711T145704Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044376 -105.206673 1.0893e+14 5.7869e+15 0\n", + " 9 693 40.023773 -105.201622 5.3996e+15 6.0545e+15 0\n", + " 10 692 40.045166 -105.265465 7.3196e+15 5.1289e+15 0\n", + " 10 693 40.024860 -105.260536 5.0994e+15 5.4935e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 14:58:00.595782+00:00, HCHO col 3.8549e+15, unc 5.5039e+15\n", + "no negative: averaged time 2024-07-11 14:58:00.595782+00:00, HCHO col 3.8549e+15, unc 5.5039e+15\n", + "no Small: averaged time 2024-07-11 14:58:01.713976+00:00, HCHO col 7.3196e+15, unc 5.1289e+15\n", + "222139749_TEMPO_HCHO_L2_V04_20240711T165704Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.043503 -105.241600 1.6686e+16 5.3265e+15 0\n", + " 10 692 40.023144 -105.236656 8.7507e+15 5.0627e+15 0\n", + " 11 691 40.042313 -105.300079 1.0579e+16 6.2468e+15 0\n", + " 11 692 40.022449 -105.295372 1.6300e+15 5.7993e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 16:58:01.802931+00:00, HCHO col 1.4130e+16, unc 5.2722e+15\n", + "no negative: averaged time 2024-07-11 16:58:01.802931+00:00, HCHO col 1.4130e+16, unc 5.2722e+15\n", + "no Small: averaged time 2024-07-11 16:58:01.803120+00:00, HCHO col 1.4168e+16, unc 5.2783e+15\n", + "222139750_TEMPO_HCHO_L2_V04_20240711T175704Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.057293 -105.230446 9.8260e+15 3.1637e+16 0\n", + " 10 692 40.036705 -105.225388 -1.5087e+15 9.0923e+15 0\n", + " 11 691 40.057945 -105.290077 1.0647e+16 5.8107e+15 0\n", + " 11 692 40.038116 -105.285393 4.9941e+15 5.6198e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 17:58:02.556327+00:00, HCHO col 5.0463e+14, unc 8.5820e+15\n", + "no negative: averaged time 2024-07-11 17:58:03.743717+00:00, HCHO col 8.4891e+15, unc 1.4356e+16\n", + "no Small: averaged time 2024-07-11 17:58:04.754740+00:00, HCHO col 1.0647e+16, unc 5.8107e+15\n", + "222139751_TEMPO_HCHO_L2_V04_20240711T185704Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044102 -105.188011 1.8014e+16 4.3392e+15 0\n", + " 9 693 40.023319 -105.182869 1.3181e+15 4.7837e+15 0\n", + " 10 692 40.044945 -105.247490 9.2031e+15 5.0201e+15 0\n", + " 10 693 40.024593 -105.242546 5.6152e+15 4.1963e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 18:58:04.562403+00:00, HCHO col 8.4471e+15, unc 4.6786e+15\n", + "no negative: averaged time 2024-07-11 18:58:04.562403+00:00, HCHO col 8.4471e+15, unc 4.6786e+15\n", + "no Small: averaged time 2024-07-11 18:58:04.562403+00:00, HCHO col 8.4471e+15, unc 4.6786e+15\n", + "222139752_TEMPO_HCHO_L2_V04_20240711T195704Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.051292 -105.204567 2.7382e+15 6.2446e+15 0\n", + " 9 692 40.030804 -105.199570 5.7637e+15 2.9842e+16 0\n", + " 10 691 40.052567 -105.264435 2.5681e+15 1.0949e+16 0\n", + " 10 692 40.032322 -105.259537 2.4308e+16 3.8471e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 19:58:03.794870+00:00, HCHO col 1.7623e+16, unc 2.9234e+16\n", + "no negative: averaged time 2024-07-11 19:58:03.794870+00:00, HCHO col 1.7623e+16, unc 2.9234e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222139753_TEMPO_HCHO_L2_V04_20240711T205704Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.037960 -105.189232 3.0916e+15 8.2764e+15 0\n", + " 9 693 40.017029 -105.184006 8.4190e+15 5.9223e+15 0\n", + " 10 692 40.039345 -105.249207 3.0027e+15 1.2131e+16 0\n", + " 10 693 40.019005 -105.244263 1.3172e+16 5.2614e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 20:58:04.409380+00:00, HCHO col 3.8567e+15, unc 1.1124e+16\n", + "no negative: averaged time 2024-07-11 20:58:04.409380+00:00, HCHO col 3.8567e+15, unc 1.1124e+16\n", + "no Small: averaged time 2024-07-11 20:58:03.236550+00:00, HCHO col 1.0796e+16, unc 5.5919e+15\n", + "222139754_TEMPO_HCHO_L2_V04_20240711T215704Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038807 -105.219727 1.3456e+14 1.0372e+16 0\n", + " 10 693 40.018402 -105.214767 1.1168e+16 4.1556e+16 0\n", + " 11 692 40.039627 -105.279053 3.7775e+15 7.1459e+15 0\n", + " 11 693 40.019470 -105.274193 1.2503e+16 2.8308e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 21:58:05.910502+00:00, HCHO col 2.2276e+15, unc 1.0841e+16\n", + "no negative: averaged time 2024-07-11 21:58:05.910502+00:00, HCHO col 2.2276e+15, unc 1.0841e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222139755_TEMPO_HCHO_L2_V04_20240711T225704Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.048107 -105.243889 4.1913e+15 1.8657e+16 0\n", + " 10 693 40.027740 -105.238937 1.1662e+16 1.4684e+16 0\n", + " 11 692 40.047489 -105.301857 -5.5986e+15 6.2322e+16 0\n", + " 11 693 40.027477 -105.297066 -1.0869e+15 3.2332e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 22:58:04.789623+00:00, HCHO col 7.9298e+15, unc 1.6798e+16\n", + "no negative: averaged time 2024-07-11 22:58:04.753664+00:00, HCHO col 7.9266e+15, unc 1.6670e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222139756_TEMPO_HCHO_L2_V04_20240711T233709Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.044525 -105.211731 8.8090e+15 6.3062e+15 0\n", + " 9 694 40.024033 -105.206718 1.4472e+16 5.6883e+15 0\n", + " 10 693 40.045609 -105.271767 6.2212e+15 1.2026e+16 0\n", + " 10 694 40.025314 -105.266830 8.4619e+15 1.5036e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-11 23:38:14.376962+00:00, HCHO col 8.2642e+15, unc 1.0494e+16\n", + "no negative: averaged time 2024-07-11 23:38:14.376962+00:00, HCHO col 8.2642e+15, unc 1.0494e+16\n", + "no Small: averaged time 2024-07-11 23:38:12.754287+00:00, HCHO col 1.1641e+16, unc 5.9972e+15\n", + "jobID = f0d88842-6974-4051-add2-0ad8bd6210da\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./222140000_TEMPO_HCHO_L2_V04_20240712T001714Z_S016G04_subsetted.nc\n", + "./222140001_TEMPO_HCHO_L2_V04_20240712T005719Z_S017G04_subsetted.nc\n", + "./222140002_TEMPO_HCHO_L2_V04_20240712T013724Z_S018G04_subsetted.nc\n", + "./222140004_TEMPO_HCHO_L2_V04_20240712T145723Z_S006G07_subsetted.nc\n", + "./222140003_TEMPO_HCHO_L2_V04_20240712T135723Z_S005G07_subsetted.nc\n", + "./222140005_TEMPO_HCHO_L2_V04_20240712T155723Z_S007G07_subsetted.nc\n", + "./222140006_TEMPO_HCHO_L2_V04_20240712T165723Z_S008G07_subsetted.nc\n", + "./222140007_TEMPO_HCHO_L2_V04_20240712T175723Z_S009G07_subsetted.nc\n", + "./222140008_TEMPO_HCHO_L2_V04_20240712T185723Z_S010G07_subsetted.nc\n", + "./222140009_TEMPO_HCHO_L2_V04_20240712T195723Z_S011G07_subsetted.nc\n", + "./222140011_TEMPO_HCHO_L2_V04_20240712T215723Z_S013G07_subsetted.nc\n", + "./222140010_TEMPO_HCHO_L2_V04_20240712T205723Z_S012G07_subsetted.nc\n", + "./222140012_TEMPO_HCHO_L2_V04_20240712T225723Z_S014G07_subsetted.nc\n", + "./222140013_TEMPO_HCHO_L2_V04_20240712T233728Z_S015G04_subsetted.nc\n", "Number of result files: 14\n", - "178447257_TEMPO_HCHO_L2_V04_20240712T105030Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.026829 -76.326355 -1.8287e+16 4.7937e+16 1\n", - " 10 846 37.007477 -76.330734 -9.5614e+15 4.8369e+16 1\n", - " 11 845 37.024975 -76.383179 2.0743e+16 3.1555e+16 1\n", - " 11 846 37.005619 -76.387543 2.3066e+16 2.7120e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "222140000_TEMPO_HCHO_L2_V04_20240712T001714Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.055393 -105.199394 7.1344e+15 1.8633e+16 0\n", + " 9 692 40.034885 -105.194382 -4.2907e+15 9.4928e+15 0\n", + " 10 691 40.056492 -105.258240 1.4925e+16 8.5154e+15 0\n", + " 10 692 40.036209 -105.253326 -1.5359e+15 1.1871e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 00:18:17.123464+00:00, HCHO col -1.2173e+15, unc 1.2092e+16\n", + "no negative: averaged time 2024-07-12 00:18:16.209284+00:00, HCHO col 1.1030e+16, unc 1.3574e+16\n", + "no Small: averaged time 2024-07-12 00:18:17.725821+00:00, HCHO col 1.4925e+16, unc 8.5154e+15\n", + "222140001_TEMPO_HCHO_L2_V04_20240712T005719Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046692 -105.202209 3.5203e+15 7.9174e+15 0\n", + " 9 693 40.026093 -105.197151 6.0607e+15 7.4791e+15 0\n", + " 10 692 40.047623 -105.261169 1.8994e+16 9.5796e+15 0\n", + " 10 693 40.027348 -105.256256 1.9829e+16 8.9888e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 00:58:21.866645+00:00, HCHO col 1.4996e+16, unc 8.8193e+15\n", + "no negative: averaged time 2024-07-12 00:58:21.866645+00:00, HCHO col 1.4996e+16, unc 8.8193e+15\n", + "no Small: averaged time 2024-07-12 00:58:22.729887+00:00, HCHO col 1.9411e+16, unc 9.2842e+15\n", + "222140002_TEMPO_HCHO_L2_V04_20240712T013724Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.043606 -105.207703 2.5085e+16 1.0216e+17 1\n", + " 9 693 40.023003 -105.202644 3.5489e+15 4.2271e+16 1\n", + " 10 692 40.045151 -105.267632 -1.3822e+16 5.5067e+16 1\n", + " 10 693 40.024841 -105.262703 1.9335e+16 5.8364e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447258_TEMPO_HCHO_L2_V04_20240712T113035Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.039173 -76.276123 4.6959e+15 2.8663e+16 0\n", - " 9 846 37.019833 -76.280525 -2.9622e+15 3.4157e+16 0\n", - " 10 845 37.037949 -76.333511 -1.2079e+16 3.5759e+16 0\n", - " 10 846 37.018620 -76.337891 1.4920e+16 2.8434e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 11:32:06.664629+00:00, HCHO col 1.2315e+16, unc 2.9155e+16\n", - "no negative: averaged time 2024-07-12 11:32:05.196431+00:00, HCHO col 9.8081e+15, unc 2.8549e+16\n", + "222140004_TEMPO_HCHO_L2_V04_20240712T145723Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.054585 -105.216034 1.0150e+16 6.0745e+15 0\n", + " 9 692 40.034153 -105.211067 1.7772e+16 5.8336e+15 0\n", + " 10 691 40.055389 -105.275139 5.4037e+15 6.7240e+15 0\n", + " 10 692 40.035236 -105.270287 6.2426e+15 6.8845e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 14:58:19.233600+00:00, HCHO col 1.0840e+16, unc 6.4034e+15\n", + "no negative: averaged time 2024-07-12 14:58:19.233600+00:00, HCHO col 1.0840e+16, unc 6.4034e+15\n", + "no Small: averaged time 2024-07-12 14:58:17.684080+00:00, HCHO col 1.3961e+16, unc 5.9541e+15\n", + "222140003_TEMPO_HCHO_L2_V04_20240712T135723Z_S005G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.054607 -105.241920 4.2019e+15 7.1562e+15 0\n", + " 10 693 40.034180 -105.236946 9.8287e+15 7.6084e+15 0\n", + " 11 692 40.053558 -105.299843 9.2932e+15 7.2829e+15 0\n", + " 11 693 40.034485 -105.295547 1.7099e+16 7.7926e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 13:58:20.939752+00:00, HCHO col 9.4476e+15, unc 7.5488e+15\n", + "no negative: averaged time 2024-07-12 13:58:20.939752+00:00, HCHO col 9.4476e+15, unc 7.5488e+15\n", + "no Small: averaged time 2024-07-12 13:58:22.741787+00:00, HCHO col 1.2074e+16, unc 7.5613e+15\n", + "222140005_TEMPO_HCHO_L2_V04_20240712T155723Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.042690 -105.207909 7.6823e+15 6.5157e+15 0\n", + " 9 692 40.022068 -105.202850 7.7878e+15 5.6273e+15 0\n", + " 10 691 40.042942 -105.266792 1.5733e+16 6.3066e+15 0\n", + " 10 692 40.022614 -105.261856 1.4598e+16 4.7900e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 15:58:19.504595+00:00, HCHO col 1.2222e+16, unc 5.9915e+15\n", + "no negative: averaged time 2024-07-12 15:58:19.504595+00:00, HCHO col 1.2222e+16, unc 5.9915e+15\n", + "no Small: averaged time 2024-07-12 15:58:19.504595+00:00, HCHO col 1.2222e+16, unc 5.9915e+15\n", + "222140006_TEMPO_HCHO_L2_V04_20240712T165723Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.042072 -105.234314 1.2808e+16 6.2044e+15 0\n", + " 10 693 40.021687 -105.229355 5.8329e+15 5.6489e+15 0\n", + " 11 692 40.042561 -105.292618 2.5806e+15 7.2729e+15 0\n", + " 11 693 40.023006 -105.288071 1.1320e+16 6.6032e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 16:58:21.170227+00:00, HCHO col 1.2002e+16, unc 6.2181e+15\n", + "no negative: averaged time 2024-07-12 16:58:21.170227+00:00, HCHO col 1.2002e+16, unc 6.2181e+15\n", + "no Small: averaged time 2024-07-12 16:58:21.170227+00:00, HCHO col 1.2002e+16, unc 6.2181e+15\n", + "222140007_TEMPO_HCHO_L2_V04_20240712T175723Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.045300 -105.228073 5.0298e+15 6.3779e+15 0\n", + " 10 692 40.024876 -105.223099 1.4924e+16 5.2793e+15 0\n", + " 11 691 40.045879 -105.287231 1.8771e+16 6.5095e+15 0\n", + " 11 692 40.025898 -105.282463 5.2003e+15 7.2638e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 17:58:21.522793+00:00, HCHO col 6.3375e+15, unc 6.4749e+15\n", + "no negative: averaged time 2024-07-12 17:58:21.522793+00:00, HCHO col 6.3375e+15, unc 6.4749e+15\n", + "no Small: averaged time 2024-07-12 17:58:22.227307+00:00, HCHO col 1.6847e+16, unc 5.8944e+15\n", + "222140008_TEMPO_HCHO_L2_V04_20240712T185723Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.049095 -105.205696 1.5059e+16 6.4036e+15 0\n", + " 9 693 40.028591 -105.200684 2.8163e+15 5.8902e+15 0\n", + " 10 692 40.050228 -105.265022 1.0542e+16 5.4566e+15 0\n", + " 10 693 40.029972 -105.260117 1.6588e+16 6.0687e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 18:58:22.715285+00:00, HCHO col 1.5752e+16, unc 6.1495e+15\n", + "no negative: averaged time 2024-07-12 18:58:22.715285+00:00, HCHO col 1.5752e+16, unc 6.1495e+15\n", + "no Small: averaged time 2024-07-12 18:58:22.715285+00:00, HCHO col 1.5752e+16, unc 6.1495e+15\n", + "222140009_TEMPO_HCHO_L2_V04_20240712T195723Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.055187 -105.213020 2.2330e+16 6.3826e+15 0\n", + " 9 692 40.034748 -105.208038 1.0030e+16 6.1249e+15 0\n", + " 10 691 40.055984 -105.272362 1.1015e+16 2.1648e+16 0\n", + " 10 692 40.035820 -105.267502 1.0938e+16 2.1655e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 19:58:22.413486+00:00, HCHO col 1.1834e+16, unc 1.4885e+16\n", + "no negative: averaged time 2024-07-12 19:58:22.413486+00:00, HCHO col 1.1834e+16, unc 1.4885e+16\n", + "no Small: averaged time 2024-07-12 19:58:20.707916+00:00, HCHO col 1.6180e+16, unc 6.2537e+15\n", + "222140011_TEMPO_HCHO_L2_V04_20240712T215723Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.037209 -105.208580 1.1493e+16 1.3011e+16 0\n", + " 9 694 40.016525 -105.203468 7.2356e+15 8.8257e+15 0\n", + " 10 693 40.038666 -105.269142 1.0621e+15 5.4292e+16 0\n", + " 10 694 40.018318 -105.264191 5.6620e+15 5.4909e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 21:58:25.420103+00:00, HCHO col 5.8319e+15, unc 3.5892e+16\n", + "no negative: averaged time 2024-07-12 21:58:25.420103+00:00, HCHO col 5.8319e+15, unc 3.5892e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447259_TEMPO_HCHO_L2_V04_20240712T121040Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.020889 -76.335785 -4.2018e+15 2.5635e+16 0\n", - " 10 847 37.001564 -76.340164 1.2684e+15 3.3494e+16 0\n", - " 11 846 37.019566 -76.392265 1.4709e+16 2.2785e+16 0\n", - " 11 847 37.000225 -76.396637 1.0878e+16 4.0410e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 12:12:11.752482+00:00, HCHO col -3.8102e+15, unc 2.5834e+16\n", - "no negative: averaged time 2024-07-12 12:12:13.737733+00:00, HCHO col 8.9517e+15, unc 3.2230e+16\n", + "222140010_TEMPO_HCHO_L2_V04_20240712T205723Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.055977 -105.190865 1.1477e+16 5.4748e+15 0\n", + " 9 692 40.035442 -105.185844 1.6859e+16 6.2000e+15 0\n", + " 10 691 40.057095 -105.250496 5.3593e+15 1.5549e+16 0\n", + " 10 692 40.036713 -105.245529 -6.8517e+14 6.7563e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 20:58:23.533394+00:00, HCHO col 1.8728e+14, unc 6.6908e+15\n", + "no negative: averaged time 2024-07-12 20:58:21.701459+00:00, HCHO col 1.1232e+16, unc 9.0746e+15\n", + "no Small: averaged time 2024-07-12 20:58:20.690433+00:00, HCHO col 1.4168e+16, unc 5.8374e+15\n", + "222140012_TEMPO_HCHO_L2_V04_20240712T225723Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.049026 -105.189400 5.0376e+15 4.0153e+16 0\n", + " 9 693 40.028320 -105.184296 2.2492e+15 4.5594e+16 0\n", + " 10 692 40.049961 -105.249695 -6.0691e+15 6.6146e+16 0\n", + " 10 693 40.029602 -105.244736 -1.5121e+15 3.8668e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 22:58:23.506757+00:00, HCHO col -2.4346e+15, unc 4.7409e+16\n", + "no negative: averaged time 2024-07-12 22:58:20.708969+00:00, HCHO col 3.6434e+15, unc 4.2873e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447260_TEMPO_HCHO_L2_V04_20240712T125045Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032677 -76.305763 5.9732e+15 1.2593e+16 0\n", - " 10 846 37.013336 -76.310158 2.6051e+16 8.7275e+15 0\n", - " 11 845 37.030960 -76.362045 1.2382e+16 6.8571e+15 0\n", - " 11 846 37.011616 -76.366432 8.1779e+15 7.7300e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 12:52:15.206425+00:00, HCHO col 1.8790e+16, unc 7.8742e+15\n", - "no negative: averaged time 2024-07-12 12:52:15.206425+00:00, HCHO col 1.8790e+16, unc 7.8742e+15\n", - "no Small: averaged time 2024-07-12 12:52:15.206425+00:00, HCHO col 1.8790e+16, unc 7.8742e+15\n", - "178447261_TEMPO_HCHO_L2_V04_20240712T133053Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.031738 -76.329002 1.2633e+16 2.1646e+16 0\n", - " 10 847 37.012409 -76.333397 1.1499e+16 1.2579e+16 0\n", - " 11 846 37.030994 -76.385956 7.7019e+15 9.6903e+15 0\n", - " 11 847 37.011669 -76.390327 9.7698e+15 1.0459e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 13:32:21.988997+00:00, HCHO col 1.1532e+16, unc 1.5259e+16\n", - "no negative: averaged time 2024-07-12 13:32:21.988997+00:00, HCHO col 1.1532e+16, unc 1.5259e+16\n", + "222140013_TEMPO_HCHO_L2_V04_20240712T233728Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.042824 -105.241989 1.5199e+16 2.2654e+16 0\n", + " 10 693 40.022469 -105.237045 1.1529e+16 1.8029e+16 0\n", + " 11 692 40.042164 -105.300468 1.4367e+16 4.5543e+16 0\n", + " 11 693 40.022289 -105.295746 4.4371e+15 1.7343e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-12 23:38:31.810049+00:00, HCHO col 1.4082e+16, unc 2.1430e+16\n", + "no negative: averaged time 2024-07-12 23:38:31.810049+00:00, HCHO col 1.4082e+16, unc 2.1430e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447263_TEMPO_HCHO_L2_V04_20240712T153053Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032600 -76.295113 3.8651e+15 1.0169e+16 0\n", - " 10 846 37.013268 -76.299507 5.5268e+15 1.6946e+16 0\n", - " 11 845 37.030899 -76.352051 1.0089e+16 1.0752e+16 0\n", - " 11 846 37.011574 -76.356430 1.3034e+16 1.0022e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 15:32:20.758271+00:00, HCHO col 9.4152e+15, unc 1.2518e+16\n", - "no negative: averaged time 2024-07-12 15:32:20.758271+00:00, HCHO col 9.4152e+15, unc 1.2518e+16\n", - "no Small: averaged time 2024-07-12 15:32:21.715986+00:00, HCHO col 1.3034e+16, unc 1.0022e+16\n", - "178447262_TEMPO_HCHO_L2_V04_20240712T143053Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038620 -76.290314 3.5918e+15 8.0686e+15 0\n", - " 10 846 37.019279 -76.294724 1.1213e+16 1.3848e+16 0\n", - " 11 845 37.037327 -76.348587 -3.8292e+15 1.4860e+16 0\n", - " 11 846 37.017998 -76.352974 -4.9206e+15 2.0282e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 14:32:20.889367+00:00, HCHO col -3.9799e+14, unc 1.7975e+16\n", - "no negative: averaged time 2024-07-12 14:32:18.685816+00:00, HCHO col 7.4024e+15, unc 1.0958e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447264_TEMPO_HCHO_L2_V04_20240712T163053Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.025513 -76.326637 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 847 37.006203 -76.331009 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 846 37.023903 -76.383652 -2.1551e+19 1.7228e+19 1\n", - " 11 847 37.004585 -76.388016 2.3423e+17 3.2784e+17 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 16:32:24.747962+00:00, HCHO col 2.3423e+17, unc 3.2784e+17\n", - "no negative: averaged time 2024-07-12 16:32:24.747962+00:00, HCHO col 2.3423e+17, unc 3.2784e+17\n", + "jobID = 8c082ee3-70b8-4ecf-80f1-84b1d442721f\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./222140083_TEMPO_HCHO_L2_V04_20240713T001733Z_S016G04_subsetted.nc\n", + "./222140085_TEMPO_HCHO_L2_V04_20240713T013743Z_S018G04_subsetted.nc\n", + "./222140084_TEMPO_HCHO_L2_V04_20240713T005738Z_S017G04_subsetted.nc\n", + "./222140086_TEMPO_HCHO_L2_V04_20240713T135739Z_S005G07_subsetted.nc\n", + "./222140087_TEMPO_HCHO_L2_V04_20240713T145739Z_S006G07_subsetted.nc\n", + "./222140089_TEMPO_HCHO_L2_V04_20240713T165739Z_S008G07_subsetted.nc\n", + "./222140088_TEMPO_HCHO_L2_V04_20240713T155739Z_S007G07_subsetted.nc\n", + "./222140091_TEMPO_HCHO_L2_V04_20240713T185739Z_S010G07_subsetted.nc\n", + "./222140090_TEMPO_HCHO_L2_V04_20240713T175739Z_S009G07_subsetted.nc\n", + "./222140092_TEMPO_HCHO_L2_V04_20240713T195739Z_S011G07_subsetted.nc\n", + "./222140095_TEMPO_HCHO_L2_V04_20240713T225739Z_S014G07_subsetted.nc\n", + "./222140096_TEMPO_HCHO_L2_V04_20240713T233744Z_S015G04_subsetted.nc\n", + "./222140093_TEMPO_HCHO_L2_V04_20240713T205739Z_S012G07_subsetted.nc\n", + "./222140094_TEMPO_HCHO_L2_V04_20240713T215739Z_S013G07_subsetted.nc\n", + "Number of result files: 14\n", + "222140083_TEMPO_HCHO_L2_V04_20240713T001733Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.047558 -105.189224 3.0529e+16 6.9581e+16 0\n", + " 9 693 40.026829 -105.184105 5.6643e+16 8.1337e+16 0\n", + " 10 692 40.048824 -105.248108 4.4389e+16 6.7599e+16 0\n", + " 10 693 40.028458 -105.243156 3.1211e+16 1.7097e+17 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 00:18:36.573129+00:00, HCHO col 3.6315e+16, unc 1.2482e+17\n", + "no negative: averaged time 2024-07-13 00:18:36.573129+00:00, HCHO col 3.6315e+16, unc 1.2482e+17\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447265_TEMPO_HCHO_L2_V04_20240712T173053Z_S009G03_subsetted.nc\n", + "222140085_TEMPO_HCHO_L2_V04_20240713T013743Z_S018G04_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.030910 -76.278473 -1.0000e+30 -1.0000e+30 -9999\n", - " 9 846 37.011589 -76.282875 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 845 37.029541 -76.336273 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 846 37.010231 -76.340645 -1.0000e+30 -1.0000e+30 -9999\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 9 692 40.047478 -105.211472 5.7343e+15 1.1654e+16 1\n", + " 9 693 40.027027 -105.206497 1.9161e+16 1.0924e+16 1\n", + " 10 692 40.048828 -105.270706 7.5805e+15 1.1296e+16 1\n", + " 10 693 40.028553 -105.265793 -2.6668e+15 1.3227e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447266_TEMPO_HCHO_L2_V04_20240712T183053Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024258 -76.325417 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 847 37.004959 -76.329788 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 846 37.022781 -76.382774 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 847 37.003468 -76.387138 -1.0000e+30 -1.0000e+30 -9999\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140084_TEMPO_HCHO_L2_V04_20240713T005738Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.050232 -105.204880 1.3898e+16 7.3887e+15 0\n", + " 9 693 40.029728 -105.199875 -1.4065e+15 6.9931e+15 0\n", + " 10 692 40.050983 -105.263199 1.2394e+16 7.7547e+15 0\n", + " 10 693 40.030720 -105.258293 1.1546e+15 7.2244e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 00:58:40.815259+00:00, HCHO col 5.5078e+15, unc 7.2950e+15\n", + "no negative: averaged time 2024-07-13 00:58:40.815259+00:00, HCHO col 5.5078e+15, unc 7.2950e+15\n", + "no Small: averaged time 2024-07-13 00:58:40.234396+00:00, HCHO col 1.3146e+16, unc 7.5717e+15\n", + "222140086_TEMPO_HCHO_L2_V04_20240713T135739Z_S005G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 693 40.040600 -105.232994 5.6793e+15 4.8881e+15 0\n", + " 10 694 40.020206 -105.228050 1.0213e+16 5.1294e+15 0\n", + " 11 693 40.040787 -105.292374 6.4060e+15 4.9647e+15 0\n", + " 11 694 40.021141 -105.287788 1.0593e+16 5.6087e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 13:58:37.206270+00:00, HCHO col 6.4656e+15, unc 5.0033e+15\n", + "no negative: averaged time 2024-07-13 13:58:37.206270+00:00, HCHO col 6.4656e+15, unc 5.0033e+15\n", + "no Small: averaged time 2024-07-13 13:58:37.206270+00:00, HCHO col 6.4656e+15, unc 5.0033e+15\n", + "222140087_TEMPO_HCHO_L2_V04_20240713T145739Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.038937 -105.212593 1.3673e+16 4.1632e+15 0\n", + " 9 693 40.018353 -105.207558 1.3366e+16 4.2449e+15 0\n", + " 10 692 40.040028 -105.272385 1.3289e+16 5.6709e+15 0\n", + " 10 693 40.019699 -105.267448 8.9283e+15 5.1730e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 14:58:35.206351+00:00, HCHO col 1.3056e+16, unc 4.8683e+15\n", + "no negative: averaged time 2024-07-13 14:58:35.206351+00:00, HCHO col 1.3056e+16, unc 4.8683e+15\n", + "no Small: averaged time 2024-07-13 14:58:35.206351+00:00, HCHO col 1.3056e+16, unc 4.8683e+15\n", + "222140089_TEMPO_HCHO_L2_V04_20240713T165739Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.055771 -105.241913 -1.4029e+15 5.2235e+15 1\n", + " 10 692 40.035320 -105.236931 8.1584e+15 5.1184e+15 0\n", + " 11 691 40.053749 -105.300346 5.4591e+15 4.7656e+15 0\n", + " 11 692 40.034687 -105.296051 1.3314e+16 5.6363e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 16:58:38.738316+00:00, HCHO col 8.9770e+15, unc 5.1735e+15\n", + "no negative: averaged time 2024-07-13 16:58:38.738316+00:00, HCHO col 8.9770e+15, unc 5.1735e+15\n", + "no Small: averaged time 2024-07-13 16:58:38.738316+00:00, HCHO col 8.9770e+15, unc 5.1735e+15\n", + "222140088_TEMPO_HCHO_L2_V04_20240713T155739Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.050411 -105.200752 6.5282e+15 4.5709e+15 0\n", + " 9 692 40.029846 -105.195724 6.3104e+15 5.0015e+15 0\n", + " 10 691 40.051319 -105.260162 5.3836e+15 5.1665e+15 0\n", + " 10 692 40.031052 -105.255272 1.7129e+14 4.3571e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 15:58:34.697820+00:00, HCHO col 6.0741e+15, unc 4.9130e+15\n", + "no negative: averaged time 2024-07-13 15:58:34.697820+00:00, HCHO col 6.0741e+15, unc 4.9130e+15\n", + "no Small: averaged time 2024-07-13 15:58:34.697820+00:00, HCHO col 6.0741e+15, unc 4.9130e+15\n", + "222140091_TEMPO_HCHO_L2_V04_20240713T185739Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044224 -105.209961 2.4474e+15 5.4430e+15 0\n", + " 9 693 40.023682 -105.204941 4.6315e+15 5.4912e+15 0\n", + " 10 692 40.045284 -105.269348 1.5183e+16 5.9300e+15 0\n", + " 10 693 40.024982 -105.264420 8.7060e+15 5.3295e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 18:58:38.440215+00:00, HCHO col 7.3619e+15, unc 5.5036e+15\n", + "no negative: averaged time 2024-07-13 18:58:38.440215+00:00, HCHO col 7.3619e+15, unc 5.5036e+15\n", + "no Small: averaged time 2024-07-13 18:58:39.746104+00:00, HCHO col 1.1945e+16, unc 5.6298e+15\n", + "222140090_TEMPO_HCHO_L2_V04_20240713T175739Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038151 -105.233467 -9.4872e+15 3.5117e+16 0\n", + " 10 693 40.017742 -105.228508 2.5448e+16 3.2040e+16 0\n", + " 11 692 40.038898 -105.292519 -5.9157e+15 1.9322e+16 0\n", + " 11 693 40.019161 -105.287880 2.5636e+15 5.7088e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 17:58:37.160451+00:00, HCHO col -8.6334e+15, unc 3.4243e+16\n", + "no negative: averaged time 2024-07-13 17:58:38.229535+00:00, HCHO col 1.4006e+16, unc 4.4564e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447267_TEMPO_HCHO_L2_V04_20240712T193053Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034096 -76.326210 1.2914e+16 6.0902e+15 0\n", - " 10 846 37.014774 -76.330589 9.0099e+15 6.1197e+15 0\n", - " 11 845 37.032658 -76.382675 3.8807e+15 1.8827e+16 0\n", - " 11 846 37.013344 -76.387039 -1.1800e+16 5.6433e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 19:32:22.104044+00:00, HCHO col 8.9954e+15, unc 7.7588e+15\n", - "no negative: averaged time 2024-07-12 19:32:22.104044+00:00, HCHO col 8.9954e+15, unc 7.7588e+15\n", - "no Small: averaged time 2024-07-12 19:32:21.711635+00:00, HCHO col 1.0962e+16, unc 6.1050e+15\n", - "178447268_TEMPO_HCHO_L2_V04_20240712T203053Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.027538 -76.316605 2.3363e+16 3.4834e+16 0\n", - " 10 846 37.008224 -76.320984 -2.0284e+16 7.0098e+16 0\n", - " 11 845 37.026245 -76.374191 7.4519e+15 1.3959e+16 0\n", - " 11 846 37.006927 -76.378563 7.8565e+15 2.5786e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 20:32:22.665296+00:00, HCHO col 2.8444e+15, unc 4.0606e+16\n", - "no negative: averaged time 2024-07-12 20:32:23.715688+00:00, HCHO col 1.2891e+16, unc 2.4860e+16\n", + "222140092_TEMPO_HCHO_L2_V04_20240713T195739Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.038090 -105.214386 -6.2378e+14 2.6369e+16 0\n", + " 9 692 40.017551 -105.209358 -4.1196e+15 3.0599e+16 0\n", + " 10 691 40.039608 -105.274574 3.1630e+16 5.9213e+16 0\n", + " 10 692 40.019314 -105.269653 -1.1837e+15 1.8928e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 19:58:38.118797+00:00, HCHO col 1.2250e+16, unc 3.9040e+16\n", + "no negative: averaged time 2024-07-13 19:58:39.744503+00:00, HCHO col 3.1630e+16, unc 5.9213e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447269_TEMPO_HCHO_L2_V04_20240712T213053Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022427 -76.333382 -1.6201e+15 3.9523e+16 0\n", - " 10 847 37.003128 -76.337746 9.4960e+15 6.6817e+16 0\n", - " 11 846 37.020737 -76.390205 1.9096e+16 1.8935e+16 0\n", - " 11 847 37.001423 -76.394562 2.8085e+16 3.8256e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 21:32:24.890260+00:00, HCHO col 5.6236e+14, unc 4.1416e+16\n", - "no negative: averaged time 2024-07-12 21:32:26.765213+00:00, HCHO col 1.8893e+16, unc 4.1336e+16\n", - "no Small: averaged time 2024-07-12 21:32:27.776242+00:00, HCHO col 1.9096e+16, unc 1.8935e+16\n", - "178447270_TEMPO_HCHO_L2_V04_20240712T223053Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.037128 -76.300407 6.8731e+15 1.5008e+16 0\n", - " 10 846 37.017815 -76.304787 1.1394e+16 1.5238e+16 0\n", - " 11 845 37.035442 -76.356979 3.2788e+16 2.6746e+16 0\n", - " 11 846 37.016129 -76.361351 8.2119e+15 2.9796e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-12 22:32:23.459985+00:00, HCHO col 1.3959e+16, unc 2.3081e+16\n", - "no negative: averaged time 2024-07-12 22:32:23.459985+00:00, HCHO col 1.3959e+16, unc 2.3081e+16\n", - "no Small: averaged time 2024-07-12 22:32:24.745217+00:00, HCHO col 3.2788e+16, unc 2.6746e+16\n", - "jobID = 98c455f1-5aae-475b-9e91-69fc5dbb8d8b\n" + "222140095_TEMPO_HCHO_L2_V04_20240713T225739Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.052032 -105.201691 8.7431e+15 8.5149e+15 0\n", + " 9 692 40.031509 -105.196671 1.2897e+16 4.7820e+15 0\n", + " 10 691 40.052952 -105.261864 7.7876e+15 7.4323e+15 0\n", + " 10 692 40.032692 -105.256966 3.5896e+15 4.6207e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 22:58:38.928499+00:00, HCHO col 5.0558e+15, unc 5.5965e+15\n", + "no negative: averaged time 2024-07-13 22:58:38.928499+00:00, HCHO col 5.0558e+15, unc 5.5965e+15\n", + "no Small: averaged time 2024-07-13 22:58:37.722358+00:00, HCHO col 9.8093e+15, unc 6.9097e+15\n", + "222140096_TEMPO_HCHO_L2_V04_20240713T233744Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044468 -105.189224 -6.8292e+15 6.0546e+15 1\n", + " 9 693 40.023689 -105.184082 5.4678e+15 5.2194e+15 0\n", + " 10 692 40.045479 -105.248978 6.9248e+15 5.8447e+15 0\n", + " 10 693 40.025124 -105.244026 8.6371e+15 5.3149e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 23:38:47.493288+00:00, HCHO col 7.3179e+15, unc 5.6321e+15\n", + "no negative: averaged time 2024-07-13 23:38:47.493288+00:00, HCHO col 7.3179e+15, unc 5.6321e+15\n", + "no Small: averaged time 2024-07-13 23:38:47.493288+00:00, HCHO col 7.3179e+15, unc 5.6321e+15\n", + "222140093_TEMPO_HCHO_L2_V04_20240713T205739Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.056625 -105.200157 -4.0080e+15 3.5629e+16 0\n", + " 9 692 40.036140 -105.195168 -5.4668e+15 2.7128e+16 0\n", + " 10 691 40.057434 -105.259254 1.6397e+16 3.4646e+16 0\n", + " 10 692 40.037148 -105.254341 1.3178e+16 5.5269e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 20:58:39.105059+00:00, HCHO col 9.2867e+15, unc 4.9569e+16\n", + "no negative: averaged time 2024-07-13 20:58:39.744681+00:00, HCHO col 1.4788e+16, unc 4.4958e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140094_TEMPO_HCHO_L2_V04_20240713T215739Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.057873 -105.232994 1.5546e+16 5.4771e+15 0\n", + " 10 692 40.037289 -105.227936 1.2466e+16 8.9505e+15 0\n", + " 11 691 40.057617 -105.291199 -9.4384e+14 1.0583e+16 0\n", + " 11 692 40.037945 -105.286583 6.5141e+15 6.3975e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-13 21:58:40.473950+00:00, HCHO col 1.1048e+16, unc 8.3297e+15\n", + "no negative: averaged time 2024-07-13 21:58:40.473950+00:00, HCHO col 1.1048e+16, unc 8.3297e+15\n", + "no Small: averaged time 2024-07-13 21:58:40.473950+00:00, HCHO col 1.1048e+16, unc 8.3297e+15\n", + "jobID = d7f9d566-ed3a-48fb-8205-e940b1032541\n" ] }, { @@ -2229,148 +2554,162 @@ "name": "stdout", "output_type": "stream", "text": [ + "./222140257_TEMPO_HCHO_L2_V04_20240714T001749Z_S016G04_subsetted.nc\n", + "./222140259_TEMPO_HCHO_L2_V04_20240714T013759Z_S018G04_subsetted.nc\n", + "./222140258_TEMPO_HCHO_L2_V04_20240714T005754Z_S017G04_subsetted.nc\n", + "./222140261_TEMPO_HCHO_L2_V04_20240714T145757Z_S006G07_subsetted.nc\n", + "./222140260_TEMPO_HCHO_L2_V04_20240714T135757Z_S005G07_subsetted.nc\n", + "./222140263_TEMPO_HCHO_L2_V04_20240714T165757Z_S008G07_subsetted.nc\n", + "./222140264_TEMPO_HCHO_L2_V04_20240714T175757Z_S009G07_subsetted.nc\n", + "./222140262_TEMPO_HCHO_L2_V04_20240714T155757Z_S007G07_subsetted.nc\n", + "./222140265_TEMPO_HCHO_L2_V04_20240714T185757Z_S010G07_subsetted.nc\n", + "./222140266_TEMPO_HCHO_L2_V04_20240714T195757Z_S011G07_subsetted.nc\n", + "./222140267_TEMPO_HCHO_L2_V04_20240714T205757Z_S012G07_subsetted.nc\n", + "./222140269_TEMPO_HCHO_L2_V04_20240714T225757Z_S014G07_subsetted.nc\n", + "./222140268_TEMPO_HCHO_L2_V04_20240714T215757Z_S013G07_subsetted.nc\n", + "./222140270_TEMPO_HCHO_L2_V04_20240714T233802Z_S015G04_subsetted.nc\n", "Number of result files: 14\n", - "178447301_TEMPO_HCHO_L2_V04_20240713T105046Z_S001G03_subsetted.nc\n", + "222140257_TEMPO_HCHO_L2_V04_20240714T001749Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.054321 -105.218895 1.2307e+15 9.7503e+15 0\n", + " 9 692 40.033901 -105.213921 8.2235e+15 1.6928e+16 0\n", + " 10 691 40.055347 -105.277657 2.7002e+14 2.2205e+16 0\n", + " 10 692 40.035221 -105.272812 -1.7076e+15 2.7092e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 00:18:51.128829+00:00, HCHO col 2.5885e+15, unc 2.0599e+16\n", + "no negative: averaged time 2024-07-14 00:18:50.731134+00:00, HCHO col 3.2414e+15, unc 1.6295e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140259_TEMPO_HCHO_L2_V04_20240714T013759Z_S018G04_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033642 -76.328094 1.3974e+16 8.1469e+15 1\n", - " 10 846 37.014297 -76.332474 8.0510e+15 7.2022e+15 1\n", - " 11 845 37.032112 -76.384048 7.3401e+14 1.0475e+16 1\n", - " 11 846 37.012772 -76.388412 1.8629e+16 1.0353e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 9 692 40.036724 -105.193436 1.1911e+16 3.6035e+16 1\n", + " 9 693 40.015781 -105.188202 1.3184e+16 2.6386e+16 1\n", + " 10 692 40.037739 -105.253014 5.5416e+16 4.6702e+16 1\n", + " 10 693 40.017365 -105.248047 -1.1621e+15 5.7811e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447302_TEMPO_HCHO_L2_V04_20240713T113051Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.022369 -76.289658 9.6139e+15 5.2001e+15 0\n", - " 9 847 37.003044 -76.294044 5.3113e+15 7.8211e+15 0\n", - " 10 846 37.020428 -76.346535 6.7423e+15 1.0829e+16 0\n", - " 10 847 37.001102 -76.350906 6.6307e+15 1.0830e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 11:32:22.183771+00:00, HCHO col 7.1445e+15, unc 9.8989e+15\n", - "no negative: averaged time 2024-07-13 11:32:22.183771+00:00, HCHO col 7.1445e+15, unc 9.8989e+15\n", - "no Small: averaged time 2024-07-13 11:32:19.686192+00:00, HCHO col 9.6139e+15, unc 5.2001e+15\n", - "178447305_TEMPO_HCHO_L2_V04_20240713T133109Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.035408 -76.318298 2.4283e+15 6.2188e+15 0\n", - " 10 847 37.016064 -76.322693 6.1903e+15 5.8216e+15 0\n", - " 11 846 37.033653 -76.375458 1.1845e+16 6.8147e+15 0\n", - " 11 847 37.014317 -76.379837 1.3278e+16 4.4352e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 13:32:38.505693+00:00, HCHO col 7.6993e+15, unc 6.0361e+15\n", - "no negative: averaged time 2024-07-13 13:32:38.505693+00:00, HCHO col 7.6993e+15, unc 6.0361e+15\n", - "no Small: averaged time 2024-07-13 13:32:38.505693+00:00, HCHO col 7.6993e+15, unc 6.0361e+15\n", - "178447307_TEMPO_HCHO_L2_V04_20240713T153109Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.021992 -76.282578 1.0626e+16 1.2037e+16 0\n", - " 9 847 37.002670 -76.286980 3.1098e+15 1.0920e+16 0\n", - " 10 846 37.020218 -76.339775 6.1884e+15 1.9971e+16 0\n", - " 10 847 37.000896 -76.344147 1.0603e+16 8.2325e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 15:32:37.552398+00:00, HCHO col 6.4286e+15, unc 1.9529e+16\n", - "no negative: averaged time 2024-07-13 15:32:37.552398+00:00, HCHO col 6.4286e+15, unc 1.9529e+16\n", - "no Small: averaged time 2024-07-13 15:32:37.720965+00:00, HCHO col 1.0603e+16, unc 8.2325e+15\n", - "178447303_TEMPO_HCHO_L2_V04_20240713T121056Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.030392 -76.323814 -1.2577e+15 1.9411e+16 0\n", - " 10 847 37.011059 -76.328201 -3.0597e+15 1.5013e+16 0\n", - " 11 846 37.028492 -76.381592 4.7355e+14 4.7893e+15 0\n", - " 11 847 37.009159 -76.385963 7.8288e+15 1.0658e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 12:12:28.277859+00:00, HCHO col -1.8491e+15, unc 1.4518e+16\n", - "no negative: averaged time 2024-07-13 12:12:30.755810+00:00, HCHO col 4.1512e+15, unc 7.7238e+15\n", + "222140258_TEMPO_HCHO_L2_V04_20240714T005754Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.039665 -105.190964 2.1445e+16 3.5525e+16 0\n", + " 9 693 40.018776 -105.185768 1.3213e+16 1.3361e+17 0\n", + " 10 692 40.040855 -105.250412 -1.5109e+15 1.3591e+16 0\n", + " 10 693 40.020515 -105.245468 2.7866e+16 2.8090e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 00:58:57.367911+00:00, HCHO col 6.0622e+15, unc 1.8690e+16\n", + "no negative: averaged time 2024-07-14 00:58:55.735207+00:00, HCHO col 2.0841e+16, unc 6.5740e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447304_TEMPO_HCHO_L2_V04_20240713T125101Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034119 -76.317528 2.2533e+15 9.0356e+15 0\n", - " 10 846 37.014774 -76.321930 1.0206e+16 3.6089e+15 0\n", - " 11 845 37.032726 -76.374382 4.9521e+15 7.0680e+15 0\n", - " 11 846 37.013390 -76.378761 1.1101e+16 7.0295e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 12:52:30.528347+00:00, HCHO col 8.5334e+15, unc 4.7148e+15\n", - "no negative: averaged time 2024-07-13 12:52:30.528347+00:00, HCHO col 8.5334e+15, unc 4.7148e+15\n", - "no Small: averaged time 2024-07-13 12:52:31.190415+00:00, HCHO col 1.0654e+16, unc 5.3192e+15\n", - "178447306_TEMPO_HCHO_L2_V04_20240713T143109Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021473 -76.302361 4.8252e+15 1.3385e+16 0\n", - " 10 847 37.002136 -76.306763 5.3218e+15 1.3880e+16 0\n", - " 11 846 37.020027 -76.359200 6.5744e+15 1.1370e+16 0\n", - " 11 847 37.000710 -76.363586 2.3471e+16 2.2656e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 14:32:36.515233+00:00, HCHO col 5.8846e+15, unc 1.2181e+16\n", - "no negative: averaged time 2024-07-13 14:32:36.515233+00:00, HCHO col 5.8846e+15, unc 1.2181e+16\n", - "no Small: averaged time 2024-07-13 14:32:37.724890+00:00, HCHO col 2.3471e+16, unc 2.2656e+16\n", - "178447308_TEMPO_HCHO_L2_V04_20240713T163109Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.031319 -76.283043 9.2212e+15 1.6656e+16 0\n", - " 9 846 37.011997 -76.287453 2.9535e+16 3.7916e+16 0\n", - " 10 845 37.029793 -76.340553 1.2017e+15 1.7379e+16 0\n", - " 10 846 37.010475 -76.344933 -1.3210e+14 2.4468e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 16:32:37.393917+00:00, HCHO col 3.7052e+15, unc 2.2359e+16\n", - "no negative: averaged time 2024-07-13 16:32:35.695977+00:00, HCHO col 1.3319e+16, unc 2.3984e+16\n", + "222140261_TEMPO_HCHO_L2_V04_20240714T145757Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.054276 -105.222588 1.2189e+15 3.8307e+16 0\n", + " 10 692 40.033817 -105.217621 -1.3663e+14 3.6188e+16 0\n", + " 11 691 40.055439 -105.282089 1.0742e+16 5.9219e+16 0\n", + " 11 692 40.035294 -105.277260 1.4451e+16 1.8685e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 14:58:52.879818+00:00, HCHO col 5.8478e+15, unc 2.9574e+16\n", + "no negative: averaged time 2024-07-14 14:58:53.700260+00:00, HCHO col 8.8039e+15, unc 3.8737e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447309_TEMPO_HCHO_L2_V04_20240713T173109Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.027363 -76.293175 1.7847e+16 6.5073e+15 0\n", - " 10 846 37.008041 -76.297577 1.5610e+16 8.6760e+15 0\n", - " 11 845 37.025730 -76.350243 1.4009e+16 1.8696e+16 0\n", - " 11 846 37.006409 -76.354622 1.3088e+16 4.5202e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 17:32:36.919665+00:00, HCHO col 1.4391e+16, unc 1.7148e+16\n", - "no negative: averaged time 2024-07-13 17:32:36.919665+00:00, HCHO col 1.4391e+16, unc 1.7148e+16\n", - "no Small: averaged time 2024-07-13 17:32:34.682573+00:00, HCHO col 1.6729e+16, unc 7.5916e+15\n", - "178447310_TEMPO_HCHO_L2_V04_20240713T183109Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032906 -76.327660 1.2833e+16 7.2008e+15 0\n", - " 10 846 37.013580 -76.332047 1.8531e+16 1.6222e+16 0\n", - " 11 845 37.031502 -76.384308 2.8804e+14 2.3755e+16 0\n", - " 11 846 37.012188 -76.388680 1.1330e+16 1.2010e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 18:32:38.043751+00:00, HCHO col 1.5151e+16, unc 1.4801e+16\n", - "no negative: averaged time 2024-07-13 18:32:38.043751+00:00, HCHO col 1.5151e+16, unc 1.4801e+16\n", - "no Small: averaged time 2024-07-13 18:32:37.716434+00:00, HCHO col 1.5682e+16, unc 1.1711e+16\n", - "178447312_TEMPO_HCHO_L2_V04_20240713T203109Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.021496 -76.309860 2.2225e+16 5.1403e+15 0\n", - " 10 846 37.002178 -76.314255 1.7331e+16 5.3602e+15 0\n", - " 11 845 37.020199 -76.366989 1.1564e+16 5.7095e+15 0\n", - " 11 846 37.000877 -76.371361 1.5877e+16 5.2954e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 20:32:39.127025+00:00, HCHO col 1.7110e+16, unc 5.4121e+15\n", - "no negative: averaged time 2024-07-13 20:32:39.127025+00:00, HCHO col 1.7110e+16, unc 5.4121e+15\n", - "no Small: averaged time 2024-07-13 20:32:39.127025+00:00, HCHO col 1.7110e+16, unc 5.4121e+15\n", - "178447311_TEMPO_HCHO_L2_V04_20240713T193109Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.030552 -76.325935 3.6814e+16 5.5749e+16 0\n", - " 10 845 37.011227 -76.330322 7.1479e+16 1.4706e+17 0\n", - " 11 844 37.028393 -76.383255 2.8289e+15 5.6121e+15 0\n", - " 11 845 37.009075 -76.387619 3.0362e+16 4.8783e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 19:32:38.159690+00:00, HCHO col 4.9650e+16, unc 9.5336e+16\n", - "no negative: averaged time 2024-07-13 19:32:38.159690+00:00, HCHO col 4.9650e+16, unc 9.5336e+16\n", + "222140260_TEMPO_HCHO_L2_V04_20240714T135757Z_S005G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.056499 -105.203590 -3.1279e+15 1.3638e+16 0\n", + " 9 693 40.036034 -105.198616 3.2383e+16 3.0707e+16 0\n", + " 10 692 40.057224 -105.262520 -9.8771e+14 1.6989e+16 0\n", + " 10 693 40.036949 -105.257622 9.7440e+15 2.6979e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 13:58:53.900797+00:00, HCHO col 1.4430e+16, unc 2.7314e+16\n", + "no negative: averaged time 2024-07-14 13:58:53.197216+00:00, HCHO col 2.1063e+16, unc 2.8843e+16\n", + "no Small: averaged time 2024-07-14 13:58:51.680683+00:00, HCHO col 3.2383e+16, unc 3.0707e+16\n", + "222140263_TEMPO_HCHO_L2_V04_20240714T165757Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.042126 -105.230881 -2.5144e+16 6.6626e+16 0\n", + " 10 693 40.021736 -105.225937 1.6104e+16 4.3485e+16 0\n", + " 11 692 40.042454 -105.289902 1.0256e+16 4.4217e+15 0\n", + " 11 693 40.022694 -105.285263 -7.1311e+15 7.6436e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 16:58:55.350696+00:00, HCHO col -2.0198e+16, unc 6.7977e+16\n", + "no negative: averaged time 2024-07-14 16:58:56.238955+00:00, HCHO col 1.3180e+16, unc 2.3953e+16\n", + "no Small: averaged time 2024-07-14 16:58:57.755490+00:00, HCHO col 1.0256e+16, unc 4.4217e+15\n", + "222140264_TEMPO_HCHO_L2_V04_20240714T175757Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.037655 -105.217430 1.5041e+16 1.0130e+16 0\n", + " 9 693 40.017197 -105.212456 1.0338e+16 2.2489e+16 0\n", + " 10 692 40.038303 -105.276894 1.5203e+16 3.9903e+16 0\n", + " 10 693 40.018078 -105.272011 2.1782e+16 4.3915e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 17:58:55.977172+00:00, HCHO col 1.5246e+16, unc 2.2567e+16\n", + "no negative: averaged time 2024-07-14 17:58:55.977172+00:00, HCHO col 1.5246e+16, unc 2.2567e+16\n", + "no Small: averaged time 2024-07-14 17:58:54.718710+00:00, HCHO col 1.5041e+16, unc 1.0130e+16\n", + "222140262_TEMPO_HCHO_L2_V04_20240714T155757Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 690 40.051144 -105.222618 1.1660e+16 7.7142e+15 0\n", + " 10 691 40.030724 -105.217651 -7.2371e+15 2.6574e+16 0\n", + " 11 690 40.051750 -105.281006 1.7049e+16 1.9561e+16 0\n", + " 11 691 40.031639 -105.276176 1.9124e+16 2.8872e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 15:58:52.856067+00:00, HCHO col 8.9681e+15, unc 2.1539e+16\n", + "no negative: averaged time 2024-07-14 15:58:53.697171+00:00, HCHO col 1.5944e+16, unc 1.8716e+16\n", + "no Small: averaged time 2024-07-14 15:58:51.675117+00:00, HCHO col 1.1660e+16, unc 7.7142e+15\n", + "222140265_TEMPO_HCHO_L2_V04_20240714T185757Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.053814 -105.226738 4.0202e+15 1.9761e+16 0\n", + " 10 692 40.033306 -105.221725 1.9195e+16 6.3319e+16 0\n", + " 11 691 40.054764 -105.285904 2.3406e+16 4.2319e+16 0\n", + " 11 692 40.034592 -105.281044 1.4537e+16 4.1751e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 18:58:55.704626+00:00, HCHO col 1.4883e+16, unc 4.8266e+16\n", + "no negative: averaged time 2024-07-14 18:58:55.704626+00:00, HCHO col 1.4883e+16, unc 4.8266e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447314_TEMPO_HCHO_L2_V04_20240713T223109Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.023163 -76.303993 2.2569e+16 1.5243e+16 0\n", - " 10 846 37.003830 -76.308395 1.2402e+16 1.3021e+16 0\n", - " 11 845 37.021873 -76.361748 1.1443e+16 1.1802e+16 0\n", - " 11 846 37.002556 -76.366119 1.7516e+16 1.1962e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 22:32:39.401098+00:00, HCHO col 1.5253e+16, unc 1.3083e+16\n", - "no negative: averaged time 2024-07-13 22:32:39.401098+00:00, HCHO col 1.5253e+16, unc 1.3083e+16\n", - "no Small: averaged time 2024-07-13 22:32:39.230896+00:00, HCHO col 2.0043e+16, unc 1.3603e+16\n", - "178447313_TEMPO_HCHO_L2_V04_20240713T213109Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.029163 -76.334557 6.9071e+15 1.9017e+16 0\n", - " 10 846 37.009850 -76.338928 7.2769e+14 1.5603e+16 0\n", - " 11 845 37.027550 -76.392105 1.3158e+16 1.6685e+16 0\n", - " 11 846 37.008244 -76.396461 2.1556e+16 2.3214e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-13 21:32:40.752122+00:00, HCHO col 4.0757e+15, unc 1.7449e+16\n", - "no negative: averaged time 2024-07-13 21:32:40.752122+00:00, HCHO col 4.0757e+15, unc 1.7449e+16\n", + "222140266_TEMPO_HCHO_L2_V04_20240714T195757Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.053070 -105.227242 1.1508e+16 2.6864e+16 0\n", + " 10 692 40.032566 -105.222221 -1.2773e+16 5.8705e+16 0\n", + " 11 691 40.053593 -105.286240 4.9001e+15 3.9216e+16 0\n", + " 11 692 40.033424 -105.281380 2.6528e+16 5.2213e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 19:58:55.671738+00:00, HCHO col 5.1307e+15, unc 4.9418e+16\n", + "no negative: averaged time 2024-07-14 19:58:56.738269+00:00, HCHO col 1.4312e+16, unc 3.9431e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "jobID = 69099ef3-2c54-42ec-b09c-590e22d9697d\n" + "222140267_TEMPO_HCHO_L2_V04_20240714T205757Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.053867 -105.245644 8.6086e+14 5.8537e+16 0\n", + " 10 692 40.033459 -105.240677 4.0163e+15 3.0269e+16 0\n", + " 11 691 40.052414 -105.304268 -1.0090e+16 5.8918e+16 0\n", + " 11 692 40.032753 -105.299660 1.2646e+16 5.0942e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 20:58:57.768544+00:00, HCHO col 3.4404e+15, unc 3.5991e+16\n", + "no negative: averaged time 2024-07-14 20:58:57.768544+00:00, HCHO col 3.4404e+15, unc 3.5991e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140269_TEMPO_HCHO_L2_V04_20240714T225757Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.050835 -105.197723 8.4827e+15 5.0145e+16 0\n", + " 9 693 40.030209 -105.192650 2.1096e+16 1.3272e+16 0\n", + " 10 692 40.051781 -105.256844 9.9245e+15 1.3055e+16 0\n", + " 10 693 40.031494 -105.251915 9.4882e+14 1.4078e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 22:58:57.164347+00:00, HCHO col 3.4085e+15, unc 2.0930e+16\n", + "no negative: averaged time 2024-07-14 22:58:57.164347+00:00, HCHO col 3.4085e+15, unc 2.0930e+16\n", + "no Small: averaged time 2024-07-14 22:58:54.717096+00:00, HCHO col 2.1096e+16, unc 1.3272e+16\n", + "222140268_TEMPO_HCHO_L2_V04_20240714T215757Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.056694 -105.218750 5.2130e+15 1.7470e+16 0\n", + " 9 692 40.036194 -105.213737 1.2080e+16 2.2012e+16 0\n", + " 10 691 40.057636 -105.278030 1.3664e+16 1.6885e+16 0\n", + " 10 692 40.037502 -105.273193 2.5482e+16 3.1513e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 21:58:56.149329+00:00, HCHO col 1.8182e+16, unc 2.6349e+16\n", + "no negative: averaged time 2024-07-14 21:58:56.149329+00:00, HCHO col 1.8182e+16, unc 2.6349e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140270_TEMPO_HCHO_L2_V04_20240714T233802Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.037155 -105.193054 5.1501e+15 1.2618e+16 0\n", + " 9 693 40.016212 -105.187828 5.4306e+15 1.5802e+16 0\n", + " 10 692 40.038025 -105.252098 1.2804e+16 3.3564e+16 0\n", + " 10 693 40.017666 -105.247154 1.4440e+16 5.1161e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-14 23:39:05.237898+00:00, HCHO col 1.1537e+16, unc 3.0340e+16\n", + "no negative: averaged time 2024-07-14 23:39:05.237898+00:00, HCHO col 1.1537e+16, unc 3.0340e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "jobID = f3cab2a7-e7a8-46b2-8f3f-140199e4c5f8\n" ] }, { @@ -2384,148 +2723,140 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178447403_TEMPO_HCHO_L2_V04_20240714T113109Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.034767 -76.279984 1.4806e+16 7.7492e+15 0\n", - " 9 847 37.015434 -76.284370 1.2938e+16 7.0842e+15 0\n", - " 10 846 37.033386 -76.337257 1.0308e+16 8.5667e+15 0\n", - " 10 847 37.014061 -76.341614 1.2454e+16 7.1085e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 11:32:40.529272+00:00, HCHO col 1.1802e+16, unc 7.5712e+15\n", - "no negative: averaged time 2024-07-14 11:32:40.529272+00:00, HCHO col 1.1802e+16, unc 7.5712e+15\n", - "no Small: averaged time 2024-07-14 11:32:40.529272+00:00, HCHO col 1.1802e+16, unc 7.5712e+15\n", - "178447404_TEMPO_HCHO_L2_V04_20240714T121114Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024582 -76.290169 3.3673e+16 5.9632e+15 0\n", - " 10 847 37.005260 -76.294556 2.1242e+16 5.3451e+15 0\n", - " 11 846 37.022953 -76.346619 8.6514e+15 5.7556e+15 0\n", - " 11 847 37.003620 -76.350998 1.2979e+16 5.2989e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 12:12:45.135162+00:00, HCHO col 1.1485e+16, unc 5.7002e+15\n", - "no negative: averaged time 2024-07-14 12:12:45.135162+00:00, HCHO col 1.1485e+16, unc 5.7002e+15\n", - "no Small: averaged time 2024-07-14 12:12:45.135162+00:00, HCHO col 1.1485e+16, unc 5.7002e+15\n", - "178447407_TEMPO_HCHO_L2_V04_20240714T143127Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.039581 -76.301735 3.5185e+16 5.1631e+15 0\n", - " 10 846 37.020256 -76.306137 1.9155e+16 5.7924e+15 0\n", - " 11 845 37.038330 -76.358971 1.3979e+16 4.8831e+15 0\n", - " 11 846 37.019005 -76.363358 1.7854e+16 4.6207e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 14:32:54.303245+00:00, HCHO col 1.8316e+16, unc 5.1750e+15\n", - "no negative: averaged time 2024-07-14 14:32:54.303245+00:00, HCHO col 1.8316e+16, unc 5.1750e+15\n", - "no Small: averaged time 2024-07-14 14:32:54.303245+00:00, HCHO col 1.8316e+16, unc 5.1750e+15\n", - "178447406_TEMPO_HCHO_L2_V04_20240714T133127Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.034027 -76.282616 2.9263e+16 7.6157e+15 0\n", - " 9 847 37.014702 -76.287025 2.6505e+16 7.4139e+15 0\n", - " 10 846 37.032135 -76.339127 1.7222e+16 4.9365e+15 0\n", - " 10 847 37.012810 -76.343506 1.6823e+16 5.2730e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 13:32:55.434138+00:00, HCHO col 1.7874e+16, unc 5.3446e+15\n", - "no negative: averaged time 2024-07-14 13:32:55.434138+00:00, HCHO col 1.7874e+16, unc 5.3446e+15\n", - "no Small: averaged time 2024-07-14 13:32:55.434138+00:00, HCHO col 1.7874e+16, unc 5.3446e+15\n", - "178447402_TEMPO_HCHO_L2_V04_20240714T105104Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 847 37.023502 -76.292984 2.9149e+15 1.8129e+16 1\n", - " 10 848 37.004181 -76.297363 -7.8642e+15 1.4918e+16 1\n", - " 11 847 37.021854 -76.351135 6.4284e+14 1.3305e+16 1\n", - " 11 848 37.002522 -76.355507 1.5635e+16 1.0774e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222140349_TEMPO_HCHO_L2_V04_20240715T005812Z_S017G04_subsetted.nc\n", + "./222140348_TEMPO_HCHO_L2_V04_20240715T001807Z_S016G04_subsetted.nc\n", + "./222140350_TEMPO_HCHO_L2_V04_20240715T013817Z_S018G04_subsetted.nc\n", + "./222140351_TEMPO_HCHO_L2_V04_20240715T135815Z_S005G07_subsetted.nc\n", + "./222140352_TEMPO_HCHO_L2_V04_20240715T145815Z_S006G07_subsetted.nc\n", + "./222140353_TEMPO_HCHO_L2_V04_20240715T155815Z_S007G07_subsetted.nc\n", + "./222140354_TEMPO_HCHO_L2_V04_20240715T165815Z_S008G07_subsetted.nc\n", + "./222140355_TEMPO_HCHO_L2_V04_20240715T175815Z_S009G07_subsetted.nc\n", + "./222140356_TEMPO_HCHO_L2_V04_20240715T185815Z_S010G07_subsetted.nc\n", + "./222140357_TEMPO_HCHO_L2_V04_20240715T195815Z_S011G07_subsetted.nc\n", + "./222140358_TEMPO_HCHO_L2_V04_20240715T205815Z_S012G07_subsetted.nc\n", + "./222140359_TEMPO_HCHO_L2_V04_20240715T215815Z_S013G07_subsetted.nc\n", + "Number of result files: 12\n", + "222140349_TEMPO_HCHO_L2_V04_20240715T005812Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046066 -105.208359 2.9872e+15 2.9022e+16 0\n", + " 9 693 40.025532 -105.203339 -2.1849e+16 2.2967e+16 0\n", + " 10 692 40.046501 -105.267784 4.4145e+16 5.0694e+16 0\n", + " 10 693 40.026199 -105.262871 3.4902e+15 4.6736e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 00:59:14.535797+00:00, HCHO col 1.0088e+16, unc 4.0349e+16\n", + "no negative: averaged time 2024-07-15 00:59:14.535797+00:00, HCHO col 1.0088e+16, unc 4.0349e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140348_TEMPO_HCHO_L2_V04_20240715T001807Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.053444 -105.231064 3.4900e+16 2.9873e+16 0\n", + " 10 692 40.032928 -105.226044 -3.0668e+16 4.0760e+16 0\n", + " 11 691 40.053627 -105.290520 1.4679e+16 4.0404e+16 0\n", + " 11 692 40.034004 -105.285934 -9.0246e+15 2.9829e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 00:19:08.477058+00:00, HCHO col -1.1527e+16, unc 3.5756e+16\n", + "no negative: averaged time 2024-07-15 00:19:09.238852+00:00, HCHO col 2.4789e+16, unc 3.5138e+16\n", + "no Small: averaged time 2024-07-15 00:19:07.722309+00:00, HCHO col 3.4900e+16, unc 2.9873e+16\n", + "222140350_TEMPO_HCHO_L2_V04_20240715T013817Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.042816 -105.226219 3.2287e+16 5.2043e+16 1\n", + " 10 693 40.022423 -105.221268 -4.9528e+16 3.3253e+16 1\n", + " 11 692 40.043968 -105.285393 3.0036e+16 1.0977e+17 1\n", + " 11 693 40.023972 -105.280609 5.2590e+16 8.2157e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447405_TEMPO_HCHO_L2_V04_20240714T125119Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031231 -76.319420 2.3105e+16 5.1801e+15 0\n", - " 10 846 37.011887 -76.323807 3.9894e+16 5.9077e+15 0\n", - " 11 845 37.029716 -76.375580 2.4201e+16 5.1852e+15 0\n", - " 11 846 37.010380 -76.379959 2.4657e+16 4.7845e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 12:52:48.478574+00:00, HCHO col 3.2535e+16, unc 5.5776e+15\n", - "no negative: averaged time 2024-07-14 12:52:48.478574+00:00, HCHO col 3.2535e+16, unc 5.5776e+15\n", - "no Small: averaged time 2024-07-14 12:52:48.478574+00:00, HCHO col 3.2535e+16, unc 5.5776e+15\n", - "178447411_TEMPO_HCHO_L2_V04_20240714T183127Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.027336 -76.333046 2.5831e+16 4.7795e+15 0\n", - " 10 846 37.008030 -76.337425 1.3068e+16 4.2020e+15 0\n", - " 11 845 37.025482 -76.390068 2.4500e+16 5.2126e+15 0\n", - " 11 846 37.006176 -76.394432 1.5796e+16 4.6572e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 18:32:55.823251+00:00, HCHO col 2.1176e+16, unc 4.5860e+15\n", - "no negative: averaged time 2024-07-14 18:32:55.823251+00:00, HCHO col 2.1176e+16, unc 4.5860e+15\n", - "no Small: averaged time 2024-07-14 18:32:55.823251+00:00, HCHO col 2.1176e+16, unc 4.5860e+15\n", - "178447409_TEMPO_HCHO_L2_V04_20240714T163127Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.035053 -76.279182 2.1065e+16 4.6418e+15 0\n", - " 9 846 37.015732 -76.283592 1.3506e+16 4.4884e+15 0\n", - " 10 845 37.033798 -76.335533 2.0857e+16 4.4467e+15 0\n", - " 10 846 37.014484 -76.339912 1.6752e+16 5.0082e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 16:32:55.615885+00:00, HCHO col 1.7863e+16, unc 4.8219e+15\n", - "no negative: averaged time 2024-07-14 16:32:55.615885+00:00, HCHO col 1.7863e+16, unc 4.8219e+15\n", - "no Small: averaged time 2024-07-14 16:32:55.615885+00:00, HCHO col 1.7863e+16, unc 4.8219e+15\n", - "178447408_TEMPO_HCHO_L2_V04_20240714T153127Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.024677 -76.303322 2.6894e+16 4.7139e+15 0\n", - " 10 846 37.005344 -76.307724 2.3612e+16 4.9058e+15 0\n", - " 11 845 37.023396 -76.360970 2.2343e+16 5.3138e+15 0\n", - " 11 846 37.004078 -76.365349 1.8716e+16 4.3048e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 15:32:54.383390+00:00, HCHO col 2.3712e+16, unc 5.0879e+15\n", - "no negative: averaged time 2024-07-14 15:32:54.383390+00:00, HCHO col 2.3712e+16, unc 5.0879e+15\n", - "no Small: averaged time 2024-07-14 15:32:54.383390+00:00, HCHO col 2.3712e+16, unc 5.0879e+15\n", - "178447410_TEMPO_HCHO_L2_V04_20240714T173127Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.027962 -76.285439 1.6742e+16 4.8937e+15 0\n", - " 9 846 37.008640 -76.289841 2.5389e+16 4.6636e+15 0\n", - " 10 845 37.026123 -76.342949 1.5686e+16 4.6286e+15 0\n", - " 10 846 37.006805 -76.347336 1.6836e+16 5.2706e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 17:32:55.313546+00:00, HCHO col 1.7197e+16, unc 4.7487e+15\n", - "no negative: averaged time 2024-07-14 17:32:55.313546+00:00, HCHO col 1.7197e+16, unc 4.7487e+15\n", - "no Small: averaged time 2024-07-14 17:32:55.313546+00:00, HCHO col 1.7197e+16, unc 4.7487e+15\n", - "178447413_TEMPO_HCHO_L2_V04_20240714T203127Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.031326 -76.315849 1.8721e+16 5.4488e+15 0\n", - " 10 845 37.011990 -76.320244 2.9730e+16 6.1662e+15 0\n", - " 11 844 37.029377 -76.372803 2.3688e+16 4.3409e+15 0\n", - " 11 845 37.010052 -76.377182 2.6844e+16 6.5246e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 20:32:56.699982+00:00, HCHO col 2.6244e+16, unc 5.4769e+15\n", - "no negative: averaged time 2024-07-14 20:32:56.699982+00:00, HCHO col 2.6244e+16, unc 5.4769e+15\n", - "no Small: averaged time 2024-07-14 20:32:56.699982+00:00, HCHO col 2.6244e+16, unc 5.4769e+15\n", - "178447412_TEMPO_HCHO_L2_V04_20240714T193127Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.029091 -76.280151 2.2290e+16 4.7875e+15 0\n", - " 9 846 37.009773 -76.284554 1.8532e+16 5.0868e+15 0\n", - " 10 845 37.027176 -76.337387 2.1431e+16 5.0214e+15 0\n", - " 10 846 37.007862 -76.341759 1.7955e+16 4.6378e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 19:32:55.593953+00:00, HCHO col 2.0203e+16, unc 4.9018e+15\n", - "no negative: averaged time 2024-07-14 19:32:55.593953+00:00, HCHO col 2.0203e+16, unc 4.9018e+15\n", - "no Small: averaged time 2024-07-14 19:32:55.593953+00:00, HCHO col 2.0203e+16, unc 4.9018e+15\n", - "178447414_TEMPO_HCHO_L2_V04_20240714T213127Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.026966 -76.319679 1.4923e+16 6.9620e+15 0\n", - " 10 846 37.007648 -76.324059 2.2575e+16 5.8884e+15 0\n", - " 11 845 37.025429 -76.376312 2.1608e+16 5.5204e+15 0\n", - " 11 846 37.006111 -76.380684 3.2998e+16 6.4308e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 21:32:56.549256+00:00, HCHO col 1.9227e+16, unc 6.2203e+15\n", - "no negative: averaged time 2024-07-14 21:32:56.549256+00:00, HCHO col 1.9227e+16, unc 6.2203e+15\n", - "no Small: averaged time 2024-07-14 21:32:56.549256+00:00, HCHO col 1.9227e+16, unc 6.2203e+15\n", - "178447415_TEMPO_HCHO_L2_V04_20240714T223127Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035202 -76.311020 2.9463e+16 7.9003e+15 0\n", - " 10 846 37.015873 -76.315407 1.0720e+16 7.3314e+15 0\n", - " 11 845 37.033356 -76.367020 8.7995e+15 7.8868e+15 0\n", - " 11 846 37.014023 -76.371399 3.3588e+16 8.2494e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-14 22:32:56.931465+00:00, HCHO col 1.3230e+16, unc 7.6012e+15\n", - "no negative: averaged time 2024-07-14 22:32:56.931465+00:00, HCHO col 1.3230e+16, unc 7.6012e+15\n", - "no Small: averaged time 2024-07-14 22:32:56.931465+00:00, HCHO col 1.3230e+16, unc 7.6012e+15\n", - "jobID = 44e3c2fb-2d8b-40ba-90ac-40394d756fdf\n" + "222140351_TEMPO_HCHO_L2_V04_20240715T135815Z_S005G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.043694 -105.188034 6.9011e+15 2.7769e+16 0\n", + " 9 694 40.022900 -105.182899 1.6817e+16 3.7866e+16 0\n", + " 10 693 40.044453 -105.247139 1.9758e+16 2.5132e+16 0\n", + " 10 694 40.024094 -105.242210 1.7849e+16 2.1246e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 13:59:12.538248+00:00, HCHO col 1.8356e+16, unc 2.3968e+16\n", + "no negative: averaged time 2024-07-15 13:59:12.538248+00:00, HCHO col 1.8356e+16, unc 2.3968e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140352_TEMPO_HCHO_L2_V04_20240715T145815Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.045918 -105.206573 2.5810e+15 5.7080e+15 0\n", + " 9 693 40.025356 -105.201546 5.0480e+15 6.7280e+15 0\n", + " 10 692 40.046444 -105.265938 9.1078e+15 6.5419e+15 0\n", + " 10 693 40.026150 -105.261032 3.0887e+15 6.3567e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 14:59:11.598432+00:00, HCHO col 4.1132e+15, unc 6.1555e+15\n", + "no negative: averaged time 2024-07-15 14:59:11.598432+00:00, HCHO col 4.1132e+15, unc 6.1555e+15\n", + "no Small: averaged time 2024-07-15 14:59:12.713402+00:00, HCHO col 9.1078e+15, unc 6.5419e+15\n", + "222140353_TEMPO_HCHO_L2_V04_20240715T155815Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.051727 -105.222740 4.1063e+15 5.8428e+15 0\n", + " 10 692 40.031300 -105.217773 9.6089e+15 5.4299e+15 0\n", + " 11 691 40.052139 -105.282234 7.9636e+15 6.1129e+15 0\n", + " 11 692 40.032028 -105.277412 3.4924e+15 8.1332e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 15:59:10.836759+00:00, HCHO col 5.6767e+15, unc 6.5825e+15\n", + "no negative: averaged time 2024-07-15 15:59:10.836759+00:00, HCHO col 5.6767e+15, unc 6.5825e+15\n", + "no Small: averaged time 2024-07-15 15:59:11.194427+00:00, HCHO col 8.7863e+15, unc 5.7714e+15\n", + "222140354_TEMPO_HCHO_L2_V04_20240715T165815Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.041931 -105.241898 7.7500e+15 1.2185e+16 0\n", + " 10 693 40.021572 -105.236954 5.6635e+15 6.9356e+15 0\n", + " 11 692 40.040798 -105.300171 1.6994e+16 2.4789e+16 0\n", + " 11 693 40.020977 -105.295486 -1.1988e+16 5.3012e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 16:59:12.768903+00:00, HCHO col 6.9426e+15, unc 1.1971e+16\n", + "no negative: averaged time 2024-07-15 16:59:12.769037+00:00, HCHO col 7.4842e+15, unc 1.1302e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140355_TEMPO_HCHO_L2_V04_20240715T175815Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038284 -105.225838 5.2862e+15 6.1900e+16 0\n", + " 10 693 40.017887 -105.220886 -9.5064e+15 6.3260e+16 0\n", + " 11 692 40.039169 -105.284813 2.0081e+16 4.2351e+16 0\n", + " 11 693 40.019176 -105.280052 1.8379e+16 4.4689e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 17:59:13.550513+00:00, HCHO col 9.3147e+15, unc 5.6581e+16\n", + "no negative: averaged time 2024-07-15 17:59:13.550513+00:00, HCHO col 9.3147e+15, unc 5.6581e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140356_TEMPO_HCHO_L2_V04_20240715T185815Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.042286 -105.222961 6.3479e+15 5.7111e+16 0\n", + " 10 693 40.021912 -105.218018 2.6970e+16 6.2465e+16 0\n", + " 11 692 40.042606 -105.281815 8.9134e+15 2.1509e+16 0\n", + " 11 693 40.022541 -105.277008 4.2399e+16 5.1832e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 18:59:16.795791+00:00, HCHO col 1.5399e+16, unc 5.2283e+16\n", + "no negative: averaged time 2024-07-15 18:59:16.795791+00:00, HCHO col 1.5399e+16, unc 5.2283e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140357_TEMPO_HCHO_L2_V04_20240715T195815Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 690 40.054874 -105.200615 6.0235e+14 1.4114e+16 0\n", + " 9 691 40.034382 -105.195610 -1.1398e+16 3.6787e+16 0\n", + " 10 690 40.055489 -105.259895 1.6874e+16 3.1742e+16 0\n", + " 10 691 40.035221 -105.254997 -3.4443e+15 6.2486e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 19:59:15.057918+00:00, HCHO col -3.8188e+15, unc 5.3866e+16\n", + "no negative: averaged time 2024-07-15 19:59:14.236008+00:00, HCHO col 8.7383e+15, unc 2.2928e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140358_TEMPO_HCHO_L2_V04_20240715T205815Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.037037 -105.204636 -1.0000e+30 -1.0000e+30 -9999\n", + " 9 693 40.016289 -105.199501 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 692 40.038357 -105.263641 -1.0295e+16 6.0822e+16 0\n", + " 10 693 40.017967 -105.258675 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 20:59:18.787040+00:00, HCHO col -1.0295e+16, unc 6.0822e+16\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140359_TEMPO_HCHO_L2_V04_20240715T215815Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.038605 -105.207245 -7.5167e+15 1.8604e+16 0\n", + " 9 693 40.017910 -105.202141 -1.5001e+16 1.3381e+16 0\n", + " 10 692 40.040112 -105.267075 -1.0977e+15 3.6793e+16 0\n", + " 10 693 40.019760 -105.262115 -1.1729e+16 3.5874e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-15 21:59:17.523752+00:00, HCHO col -4.7766e+15, unc 2.9228e+16\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "jobID = e084681a-ba6c-4c62-9636-f1a417c843d5\n" ] }, { @@ -2539,148 +2870,129 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178447485_TEMPO_HCHO_L2_V04_20240715T105122Z_S001G03_subsetted.nc\n", + "./222140466_TEMPO_HCHO_L2_V04_20240716T142832Z_S006G07_subsetted.nc\n", + "./222140467_TEMPO_HCHO_L2_V04_20240716T152832Z_S007G07_subsetted.nc\n", + "./222140468_TEMPO_HCHO_L2_V04_20240716T162832Z_S008G07_subsetted.nc\n", + "./222140469_TEMPO_HCHO_L2_V04_20240716T172832Z_S009G07_subsetted.nc\n", + "./222140470_TEMPO_HCHO_L2_V04_20240716T182832Z_S010G07_subsetted.nc\n", + "./222140471_TEMPO_HCHO_L2_V04_20240716T192832Z_S011G07_subsetted.nc\n", + "./222140472_TEMPO_HCHO_L2_V04_20240716T202832Z_S012G07_subsetted.nc\n", + "./222140473_TEMPO_HCHO_L2_V04_20240716T212832Z_S013G07_subsetted.nc\n", + "./222140474_TEMPO_HCHO_L2_V04_20240716T222832Z_S014G07_subsetted.nc\n", + "./222140475_TEMPO_HCHO_L2_V04_20240716T230837Z_S015G04_subsetted.nc\n", + "./222140476_TEMPO_HCHO_L2_V04_20240716T234842Z_S016G04_subsetted.nc\n", + "Number of result files: 11\n", + "222140466_TEMPO_HCHO_L2_V04_20240716T142832Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.050594 -105.190575 1.4878e+15 5.5136e+15 0\n", + " 9 693 40.029892 -105.185478 1.4282e+16 5.2692e+15 0\n", + " 10 692 40.051151 -105.249916 1.1489e+16 6.3988e+15 0\n", + " 10 693 40.030781 -105.244980 5.8364e+15 5.2806e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 14:29:29.470236+00:00, HCHO col 6.9345e+15, unc 5.5829e+15\n", + "no negative: averaged time 2024-07-16 14:29:29.470236+00:00, HCHO col 6.9345e+15, unc 5.5829e+15\n", + "no Small: averaged time 2024-07-16 14:29:29.470554+00:00, HCHO col 8.3765e+15, unc 5.6524e+15\n", + "222140467_TEMPO_HCHO_L2_V04_20240716T152832Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.038177 -105.216698 1.1376e+16 5.1629e+16 0\n", + " 9 693 40.017708 -105.211716 6.5450e+15 7.9129e+15 0\n", + " 10 692 40.038826 -105.275894 -1.5693e+16 5.1553e+16 0\n", + " 10 693 40.018559 -105.270981 -6.6411e+15 3.4603e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 15:29:31.028486+00:00, HCHO col 1.2756e+14, unc 5.0796e+16\n", + "no negative: averaged time 2024-07-16 15:29:29.720173+00:00, HCHO col 8.9606e+15, unc 2.9771e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140468_TEMPO_HCHO_L2_V04_20240716T162832Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.055882 -105.222351 2.3202e+15 4.9280e+15 0\n", + " 10 692 40.035370 -105.217339 3.8493e+15 5.6053e+15 0\n", + " 11 691 40.056606 -105.281609 6.5700e+13 6.0338e+15 0\n", + " 11 692 40.036461 -105.276764 1.9541e+15 1.1666e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 16:29:30.954730+00:00, HCHO col 2.9503e+15, unc 8.0226e+15\n", + "no negative: averaged time 2024-07-16 16:29:30.954730+00:00, HCHO col 2.9503e+15, unc 8.0226e+15\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140469_TEMPO_HCHO_L2_V04_20240716T172832Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.055027 -105.209061 -6.1384e+15 5.1760e+15 2\n", + " 9 692 40.034588 -105.204086 1.5444e+16 3.1279e+16 0\n", + " 10 691 40.056080 -105.268059 1.1042e+15 4.9911e+15 0\n", + " 10 692 40.035892 -105.263191 3.0036e+15 5.9719e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 17:29:31.632902+00:00, HCHO col 7.3735e+15, unc 1.5159e+16\n", + "no negative: averaged time 2024-07-16 17:29:31.632902+00:00, HCHO col 7.3735e+15, unc 1.5159e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140470_TEMPO_HCHO_L2_V04_20240716T182832Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.045052 -105.225426 5.8952e+15 5.3165e+15 0\n", + " 10 693 40.024651 -105.220474 3.6895e+15 4.5230e+15 0\n", + " 11 692 40.046272 -105.285004 -3.4678e+13 5.3842e+15 0\n", + " 11 693 40.026272 -105.280228 7.5748e+15 4.5526e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 18:29:33.686062+00:00, HCHO col 6.2292e+15, unc 5.0124e+15\n", + "no negative: averaged time 2024-07-16 18:29:33.686062+00:00, HCHO col 6.2292e+15, unc 5.0124e+15\n", + "no Small: averaged time 2024-07-16 18:29:34.262086+00:00, HCHO col 6.7350e+15, unc 4.9345e+15\n", + "222140471_TEMPO_HCHO_L2_V04_20240716T192832Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.049553 -105.191612 1.7359e+16 2.2346e+16 0\n", + " 9 692 40.028828 -105.186493 2.3662e+16 6.4889e+16 0\n", + " 10 691 40.050743 -105.250870 4.0334e+15 4.7330e+16 0\n", + " 10 692 40.030392 -105.245918 1.6554e+16 4.6451e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 19:29:32.453593+00:00, HCHO col 1.3387e+16, unc 4.4370e+16\n", + "no negative: averaged time 2024-07-16 19:29:32.453593+00:00, HCHO col 1.3387e+16, unc 4.4370e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140472_TEMPO_HCHO_L2_V04_20240716T202832Z_S012G07_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.027908 -76.302498 2.6504e+16 1.3083e+16 1\n", - " 10 847 37.008572 -76.306877 1.7684e+16 1.4612e+16 1\n", - " 11 846 37.026512 -76.359634 1.5752e+16 1.3656e+16 1\n", - " 11 847 37.007179 -76.363998 2.3870e+16 1.4311e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 10 692 40.037796 -105.223877 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 693 40.017403 -105.218918 -1.0000e+30 -1.0000e+30 -9999\n", + " 11 692 40.038837 -105.284088 -1.0000e+30 -1.0000e+30 -9999\n", + " 11 693 40.018852 -105.279327 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447486_TEMPO_HCHO_L2_V04_20240715T113127Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.035439 -76.280380 1.0730e+16 7.3209e+15 0\n", - " 9 847 37.016113 -76.284767 2.3352e+16 7.9722e+15 0\n", - " 10 846 37.033733 -76.337547 2.2684e+16 6.2591e+15 0\n", - " 10 847 37.014412 -76.341904 1.5350e+16 7.6242e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 11:32:58.496303+00:00, HCHO col 1.8100e+16, unc 7.2410e+15\n", - "no negative: averaged time 2024-07-15 11:32:58.496303+00:00, HCHO col 1.8100e+16, unc 7.2410e+15\n", - "no Small: averaged time 2024-07-15 11:32:58.496303+00:00, HCHO col 1.8100e+16, unc 7.2410e+15\n", - "178447488_TEMPO_HCHO_L2_V04_20240715T125137Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026428 -76.332062 1.5110e+16 8.9029e+15 0\n", - " 10 847 37.007114 -76.336441 1.6799e+16 7.3753e+15 0\n", - " 11 846 37.024410 -76.389473 1.3066e+16 5.4342e+15 0\n", - " 11 847 37.005093 -76.393845 4.8392e+15 6.5129e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 12:53:05.849759+00:00, HCHO col 1.5523e+16, unc 8.2352e+15\n", - "no negative: averaged time 2024-07-15 12:53:05.849759+00:00, HCHO col 1.5523e+16, unc 8.2352e+15\n", - "no Small: averaged time 2024-07-15 12:53:05.849758+00:00, HCHO col 1.5523e+16, unc 8.2352e+15\n", - "178447487_TEMPO_HCHO_L2_V04_20240715T121132Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.025036 -76.291885 1.4537e+16 5.6369e+15 0\n", - " 10 847 37.005714 -76.296280 2.1005e+16 6.1861e+15 0\n", - " 11 846 37.023212 -76.348648 2.0094e+16 5.0314e+15 0\n", - " 11 847 37.003883 -76.353020 1.4939e+16 8.0170e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 12:13:03.027723+00:00, HCHO col 1.9953e+16, unc 5.2624e+15\n", - "no negative: averaged time 2024-07-15 12:13:03.027723+00:00, HCHO col 1.9953e+16, unc 5.2624e+15\n", - "no Small: averaged time 2024-07-15 12:13:03.027723+00:00, HCHO col 1.9953e+16, unc 5.2624e+15\n", - "178447490_TEMPO_HCHO_L2_V04_20240715T143145Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022507 -76.301788 2.3291e+16 5.8599e+15 0\n", - " 10 847 37.003174 -76.306190 1.7359e+16 5.4053e+15 0\n", - " 11 846 37.020645 -76.358253 1.6204e+16 6.2543e+15 0\n", - " 11 847 37.001328 -76.362625 1.6627e+16 5.7288e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 14:33:12.538964+00:00, HCHO col 1.8625e+16, unc 6.0763e+15\n", - "no negative: averaged time 2024-07-15 14:33:12.538964+00:00, HCHO col 1.8625e+16, unc 6.0763e+15\n", - "no Small: averaged time 2024-07-15 14:33:12.538964+00:00, HCHO col 1.8625e+16, unc 6.0763e+15\n", - "178447489_TEMPO_HCHO_L2_V04_20240715T133145Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 847 37.024326 -76.283760 3.7288e+16 8.7294e+15 0\n", - " 9 848 37.005001 -76.288162 1.2319e+16 5.7077e+15 0\n", - " 10 847 37.022270 -76.341026 2.8192e+16 9.8284e+15 0\n", - " 10 848 37.002953 -76.345413 1.1734e+16 7.6796e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 13:33:13.458091+00:00, HCHO col 2.6414e+16, unc 9.4205e+15\n", - "no negative: averaged time 2024-07-15 13:33:13.458091+00:00, HCHO col 2.6414e+16, unc 9.4205e+15\n", - "no Small: averaged time 2024-07-15 13:33:13.458091+00:00, HCHO col 2.6414e+16, unc 9.4205e+15\n", - "178447492_TEMPO_HCHO_L2_V04_20240715T163145Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034000 -76.291824 2.1894e+16 4.6374e+15 0\n", - " 10 846 37.014668 -76.296234 7.4821e+15 6.7905e+15 0\n", - " 11 845 37.031479 -76.349754 1.2532e+16 5.2620e+15 0\n", - " 11 846 37.012161 -76.354141 1.0269e+16 6.8704e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 16:33:12.879452+00:00, HCHO col 1.0379e+16, unc 6.2280e+15\n", - "no negative: averaged time 2024-07-15 16:33:12.879452+00:00, HCHO col 1.0379e+16, unc 6.2280e+15\n", - "no Small: averaged time 2024-07-15 16:33:12.879452+00:00, HCHO col 1.0379e+16, unc 6.2280e+15\n", - "178447491_TEMPO_HCHO_L2_V04_20240715T153145Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034977 -76.310127 1.5287e+16 5.4942e+15 0\n", - " 10 846 37.015644 -76.314522 1.4891e+16 5.3232e+15 0\n", - " 11 845 37.032764 -76.367867 1.8944e+16 6.1771e+15 0\n", - " 11 846 37.013428 -76.372253 1.6609e+16 5.7034e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 15:33:11.905219+00:00, HCHO col 1.6256e+16, unc 5.6129e+15\n", - "no negative: averaged time 2024-07-15 15:33:11.905219+00:00, HCHO col 1.6256e+16, unc 5.6129e+15\n", - "no Small: averaged time 2024-07-15 15:33:11.905219+00:00, HCHO col 1.6256e+16, unc 5.6129e+15\n", - "178447493_TEMPO_HCHO_L2_V04_20240715T173145Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.029278 -76.293732 2.1501e+16 5.5670e+15 0\n", - " 10 846 37.009953 -76.298134 1.3856e+16 6.5155e+15 0\n", - " 11 845 37.028069 -76.349907 2.7739e+16 5.5209e+15 0\n", - " 11 846 37.008747 -76.354286 1.8023e+16 6.1755e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 17:33:12.891536+00:00, HCHO col 2.2545e+16, unc 5.8868e+15\n", - "no negative: averaged time 2024-07-15 17:33:12.891536+00:00, HCHO col 2.2545e+16, unc 5.8868e+15\n", - "no Small: averaged time 2024-07-15 17:33:12.891536+00:00, HCHO col 2.2545e+16, unc 5.8868e+15\n", - "178447494_TEMPO_HCHO_L2_V04_20240715T183145Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.022675 -76.286041 1.8408e+16 7.5065e+15 0\n", - " 9 847 37.003361 -76.290436 2.7948e+16 5.1182e+15 0\n", - " 10 846 37.021259 -76.343384 2.5602e+16 6.8766e+15 0\n", - " 10 847 37.001949 -76.347763 1.9498e+16 5.3365e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 18:33:16.385055+00:00, HCHO col 2.5279e+16, unc 6.8139e+15\n", - "no negative: averaged time 2024-07-15 18:33:16.385055+00:00, HCHO col 2.5279e+16, unc 6.8139e+15\n", - "no Small: averaged time 2024-07-15 18:33:16.385055+00:00, HCHO col 2.5279e+16, unc 6.8139e+15\n", - "178447495_TEMPO_HCHO_L2_V04_20240715T193145Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.034626 -76.307243 2.0090e+16 5.3522e+15 0\n", - " 10 845 37.015301 -76.311638 1.3487e+16 9.7260e+15 0\n", - " 11 844 37.032768 -76.363396 1.4825e+16 5.4109e+15 0\n", - " 11 845 37.013439 -76.367775 6.0795e+15 9.1784e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 19:33:15.142783+00:00, HCHO col 1.2674e+16, unc 8.3251e+15\n", - "no negative: averaged time 2024-07-15 19:33:15.142783+00:00, HCHO col 1.2674e+16, unc 8.3251e+15\n", - "no Small: averaged time 2024-07-15 19:33:14.733240+00:00, HCHO col 1.6134e+16, unc 6.8297e+15\n", - "178447497_TEMPO_HCHO_L2_V04_20240715T213145Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032143 -76.315849 2.3901e+16 8.7645e+15 0\n", - " 10 846 37.012806 -76.320244 1.8106e+16 5.3873e+15 0\n", - " 11 845 37.030804 -76.372330 2.2424e+16 7.1963e+15 0\n", - " 11 846 37.011478 -76.376709 1.2401e+16 6.4106e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 21:33:17.714992+00:00, HCHO col 2.0006e+16, unc 6.2672e+15\n", - "no negative: averaged time 2024-07-15 21:33:17.714992+00:00, HCHO col 2.0006e+16, unc 6.2672e+15\n", - "no Small: averaged time 2024-07-15 21:33:17.714992+00:00, HCHO col 2.0006e+16, unc 6.2672e+15\n", - "178447496_TEMPO_HCHO_L2_V04_20240715T203145Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.022198 -76.321724 1.6990e+16 5.4999e+15 0\n", - " 10 846 37.002903 -76.326103 1.2079e+16 5.4339e+15 0\n", - " 11 845 37.020332 -76.379639 3.0066e+16 6.9006e+15 0\n", - " 11 846 37.001022 -76.384003 2.4366e+16 6.2572e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 20:33:17.518637+00:00, HCHO col 1.9912e+16, unc 5.8470e+15\n", - "no negative: averaged time 2024-07-15 20:33:17.518637+00:00, HCHO col 1.9912e+16, unc 5.8470e+15\n", - "no Small: averaged time 2024-07-15 20:33:17.518637+00:00, HCHO col 1.9912e+16, unc 5.8470e+15\n", - "178447498_TEMPO_HCHO_L2_V04_20240715T223014Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 844 37.035637 -76.278351 1.9687e+15 1.0532e+16 0\n", - " 9 845 37.016315 -76.282753 -8.0790e+15 1.1554e+16 1\n", - " 10 844 37.034077 -76.335121 1.0095e+16 2.3841e+16 0\n", - " 10 845 37.014763 -76.339500 8.4363e+15 2.1833e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-15 22:33:16.667544+00:00, HCHO col 8.6711e+15, unc 2.2016e+16\n", - "no negative: averaged time 2024-07-15 22:33:16.667544+00:00, HCHO col 8.6711e+15, unc 2.2016e+16\n", + "222140473_TEMPO_HCHO_L2_V04_20240716T212832Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044304 -105.192070 -4.6657e+14 3.1820e+16 0\n", + " 9 693 40.023533 -105.186928 1.0406e+16 1.6328e+16 0\n", + " 10 692 40.045395 -105.251640 1.9139e+14 1.0161e+16 0\n", + " 10 693 40.025043 -105.246689 1.2895e+15 8.9207e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 21:29:35.384840+00:00, HCHO col 5.2406e+14, unc 1.2508e+16\n", + "no negative: averaged time 2024-07-16 21:29:35.385429+00:00, HCHO col 1.7917e+15, unc 1.0655e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140474_TEMPO_HCHO_L2_V04_20240716T222832Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.056229 -105.241920 3.5664e+14 5.5948e+16 0\n", + " 10 692 40.035774 -105.236923 1.6773e+15 4.4828e+16 0\n", + " 11 691 40.054558 -105.299858 -1.0868e+16 3.4013e+16 0\n", + " 11 692 40.035553 -105.295593 -2.1350e+15 4.6796e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 22:29:32.984385+00:00, HCHO col 1.2625e+15, unc 4.5932e+16\n", + "no negative: averaged time 2024-07-16 22:29:32.743949+00:00, HCHO col 1.0170e+15, unc 5.0388e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "jobID = 381100b5-d65c-4c23-87f7-6442b2ee9bbc\n" + "222140475_TEMPO_HCHO_L2_V04_20240716T230837Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.051567 -105.217049 1.3879e+16 3.2753e+16 0\n", + " 9 693 40.031185 -105.212097 -4.5440e+15 1.3537e+16 0\n", + " 10 692 40.052261 -105.275330 9.8178e+15 2.0394e+16 0\n", + " 10 693 40.032093 -105.270470 5.1900e+15 2.6314e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 23:09:42.228349+00:00, HCHO col 5.5122e+15, unc 2.5306e+16\n", + "no negative: averaged time 2024-07-16 23:09:42.770750+00:00, HCHO col 9.6289e+15, unc 2.6487e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140476_TEMPO_HCHO_L2_V04_20240716T234842Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.045483 -105.188759 2.5823e+16 2.9175e+16 0\n", + " 9 692 40.024723 -105.183632 2.6612e+16 3.5051e+16 0\n", + " 10 691 40.045998 -105.247696 -5.7447e+15 2.8166e+16 0\n", + " 10 692 40.025639 -105.242737 2.6040e+15 1.7824e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-16 23:49:45.566102+00:00, HCHO col -3.2677e+14, unc 2.3927e+16\n", + "no negative: averaged time 2024-07-16 23:49:43.731052+00:00, HCHO col 1.8346e+16, unc 2.7350e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "jobID = 9e44ba48-cad4-49c0-95c0-5fc61651b182\n" ] }, { @@ -2694,148 +3006,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178447533_TEMPO_HCHO_L2_V04_20240716T112139Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 847 37.029690 -76.318604 1.5302e+16 1.0214e+16 0\n", - " 10 848 37.010345 -76.322983 1.9926e+16 8.9347e+15 0\n", - " 11 847 37.028515 -76.376701 2.7801e+16 8.5886e+15 0\n", - " 11 848 37.009174 -76.381065 3.9328e+16 1.3400e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 11:23:11.544476+00:00, HCHO col 2.0899e+16, unc 9.1683e+15\n", - "no negative: averaged time 2024-07-16 11:23:11.544476+00:00, HCHO col 2.0899e+16, unc 9.1683e+15\n", - "no Small: averaged time 2024-07-16 11:23:11.544476+00:00, HCHO col 2.0899e+16, unc 9.1683e+15\n", - "178447532_TEMPO_HCHO_L2_V04_20240716T104134Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021065 -76.332932 2.3125e+16 1.5116e+16 1\n", - " 10 847 37.001751 -76.337303 4.1326e+16 2.4320e+16 1\n", - " 11 846 37.019707 -76.390541 2.1955e+16 1.3416e+16 1\n", - " 11 847 37.000370 -76.394905 6.3519e+16 2.1826e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "./222140563_TEMPO_HCHO_L2_V04_20240717T010852Z_S018G04_subsetted.nc\n", + "./222140562_TEMPO_HCHO_L2_V04_20240717T002847Z_S017G04_subsetted.nc\n", + "./222140564_TEMPO_HCHO_L2_V04_20240717T142850Z_S006G07_subsetted.nc\n", + "./222140566_TEMPO_HCHO_L2_V04_20240717T162850Z_S008G07_subsetted.nc\n", + "./222140565_TEMPO_HCHO_L2_V04_20240717T152850Z_S007G07_subsetted.nc\n", + "./222140567_TEMPO_HCHO_L2_V04_20240717T172850Z_S009G07_subsetted.nc\n", + "./222140568_TEMPO_HCHO_L2_V04_20240717T182850Z_S010G07_subsetted.nc\n", + "./222140569_TEMPO_HCHO_L2_V04_20240717T192850Z_S011G07_subsetted.nc\n", + "./222140570_TEMPO_HCHO_L2_V04_20240717T202850Z_S012G07_subsetted.nc\n", + "./222140571_TEMPO_HCHO_L2_V04_20240717T212850Z_S013G07_subsetted.nc\n", + "./222140572_TEMPO_HCHO_L2_V04_20240717T222850Z_S014G07_subsetted.nc\n", + "./222140573_TEMPO_HCHO_L2_V04_20240717T230855Z_S015G04_subsetted.nc\n", + "./222140574_TEMPO_HCHO_L2_V04_20240717T234900Z_S016G04_subsetted.nc\n", + "Number of result files: 13\n", + "222140563_TEMPO_HCHO_L2_V04_20240717T010852Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.055138 -105.241226 -3.8824e+16 3.5049e+16 1\n", + " 10 692 40.034691 -105.236244 2.2951e+16 2.5865e+16 1\n", + " 11 691 40.054390 -105.299469 2.9013e+16 2.3052e+16 0\n", + " 11 692 40.035400 -105.295212 -6.4919e+15 3.1640e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 01:09:58.775638+00:00, HCHO col 2.9013e+16, unc 2.3052e+16\n", + "no negative: averaged time 2024-07-17 01:09:58.775638+00:00, HCHO col 2.9013e+16, unc 2.3052e+16\n", + "no Small: averaged time 2024-07-17 01:09:58.775638+00:00, HCHO col 2.9013e+16, unc 2.3052e+16\n", + "222140562_TEMPO_HCHO_L2_V04_20240717T002847Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.040489 -105.229576 -8.5855e+15 1.2132e+16 0\n", + " 10 693 40.020096 -105.224617 1.2130e+16 2.6113e+16 0\n", + " 11 692 40.041065 -105.288818 -2.5544e+16 1.4722e+16 1\n", + " 11 693 40.021172 -105.284096 3.0813e+15 1.6963e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 00:29:51.768545+00:00, HCHO col 2.2087e+15, unc 1.8403e+16\n", + "no negative: averaged time 2024-07-17 00:29:52.274055+00:00, HCHO col 7.6058e+15, unc 2.1538e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140564_TEMPO_HCHO_L2_V04_20240717T142850Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.041389 -105.240021 7.6994e+15 5.2850e+15 0\n", + " 10 693 40.021019 -105.235077 4.4085e+15 5.6504e+15 0\n", + " 11 692 40.040176 -105.298325 5.4223e+15 6.3628e+15 0\n", + " 11 693 40.020367 -105.293648 8.9458e+15 5.4137e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 14:29:47.870073+00:00, HCHO col 7.3021e+15, unc 5.3424e+15\n", + "no negative: averaged time 2024-07-17 14:29:47.870073+00:00, HCHO col 7.3021e+15, unc 5.3424e+15\n", + "no Small: averaged time 2024-07-17 14:29:49.235639+00:00, HCHO col 8.3226e+15, unc 5.3494e+15\n", + "222140566_TEMPO_HCHO_L2_V04_20240717T162850Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.045135 -105.222511 3.7483e+15 4.7240e+15 0\n", + " 10 693 40.024742 -105.217560 2.1646e+15 4.9066e+15 0\n", + " 11 692 40.046371 -105.281929 8.0807e+15 5.0510e+15 0\n", + " 11 693 40.026287 -105.277115 4.8115e+15 5.0189e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 16:29:48.815157+00:00, HCHO col 4.0666e+15, unc 4.8379e+15\n", + "no negative: averaged time 2024-07-17 16:29:48.815157+00:00, HCHO col 4.0666e+15, unc 4.8379e+15\n", + "no Small: averaged time 2024-07-17 16:29:50.754385+00:00, HCHO col 8.0807e+15, unc 5.0510e+15\n", + "222140565_TEMPO_HCHO_L2_V04_20240717T152850Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.043007 -105.190811 -6.0202e+15 4.8612e+15 1\n", + " 9 692 40.022213 -105.185661 1.1399e+16 4.5944e+15 0\n", + " 10 691 40.043755 -105.250183 1.2010e+16 5.3560e+15 0\n", + " 10 692 40.023411 -105.245247 4.8582e+15 4.5735e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 15:29:47.382541+00:00, HCHO col 1.0594e+16, unc 5.1229e+15\n", + "no negative: averaged time 2024-07-17 15:29:47.382541+00:00, HCHO col 1.0594e+16, unc 5.1229e+15\n", + "no Small: averaged time 2024-07-17 15:29:47.382541+00:00, HCHO col 1.0594e+16, unc 5.1229e+15\n", + "222140567_TEMPO_HCHO_L2_V04_20240717T172850Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.053177 -105.201683 -9.7848e+14 5.2445e+15 0\n", + " 9 692 40.032673 -105.196686 7.1931e+15 5.0680e+15 0\n", + " 10 691 40.053883 -105.260956 1.0104e+16 4.9606e+15 0\n", + " 10 692 40.033627 -105.256058 7.6104e+15 4.9932e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 17:29:49.980437+00:00, HCHO col 5.8644e+15, unc 5.0476e+15\n", + "no negative: averaged time 2024-07-17 17:29:49.980841+00:00, HCHO col 8.0112e+15, unc 5.0055e+15\n", + "no Small: averaged time 2024-07-17 17:29:49.980841+00:00, HCHO col 8.0112e+15, unc 5.0055e+15\n", + "222140568_TEMPO_HCHO_L2_V04_20240717T182850Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.041126 -105.233574 1.8953e+16 5.3395e+16 0\n", + " 10 693 40.020752 -105.228622 -7.6176e+15 3.1910e+16 0\n", + " 11 692 40.041290 -105.292145 2.7938e+16 5.8950e+16 0\n", + " 11 693 40.021683 -105.287567 1.7035e+16 5.1137e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 18:29:51.225818+00:00, HCHO col 1.7940e+16, unc 5.2463e+16\n", + "no negative: averaged time 2024-07-17 18:29:52.767100+00:00, HCHO col 2.1309e+16, unc 5.4494e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140569_TEMPO_HCHO_L2_V04_20240717T192850Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.040524 -105.237328 -1.1612e+17 1.9351e+17 0\n", + " 10 693 40.020149 -105.232376 -1.0000e+30 -1.0000e+30 2\n", + " 11 692 40.040401 -105.295540 -1.0000e+30 -1.0000e+30 -9999\n", + " 11 693 40.020622 -105.290871 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 19:29:50.746205+00:00, HCHO col -1.1612e+17, unc 1.9351e+17\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447534_TEMPO_HCHO_L2_V04_20240716T120144Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.035477 -76.313293 3.4386e+16 1.9568e+16 0\n", - " 10 847 37.016132 -76.317688 5.1825e+16 1.5584e+16 0\n", - " 11 846 37.033943 -76.370461 3.0297e+16 2.4543e+16 0\n", - " 11 847 37.014606 -76.374840 3.5556e+16 1.8999e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 12:03:16.775372+00:00, HCHO col 4.4860e+16, unc 1.8125e+16\n", - "no negative: averaged time 2024-07-16 12:03:16.775372+00:00, HCHO col 4.4860e+16, unc 1.8125e+16\n", - "no Small: averaged time 2024-07-16 12:03:16.775372+00:00, HCHO col 4.4860e+16, unc 1.8125e+16\n", - "178447536_TEMPO_HCHO_L2_V04_20240716T132154Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.038036 -76.304054 5.5381e+16 2.2494e+16 0\n", - " 10 847 37.018703 -76.308464 7.9873e+16 3.6437e+16 0\n", - " 11 846 37.036144 -76.361244 3.5789e+16 1.5975e+16 0\n", - " 11 847 37.016808 -76.365623 6.6834e+16 1.2990e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 13:23:27.245331+00:00, HCHO col 6.9231e+16, unc 2.5052e+16\n", - "no negative: averaged time 2024-07-16 13:23:27.245331+00:00, HCHO col 6.9231e+16, unc 2.5052e+16\n", - "no Small: averaged time 2024-07-16 13:23:27.245331+00:00, HCHO col 6.9231e+16, unc 2.5052e+16\n", - "178447535_TEMPO_HCHO_L2_V04_20240716T124149Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.023643 -76.288025 5.0939e+16 1.7586e+16 0\n", - " 9 847 37.004314 -76.292427 3.1495e+16 1.4076e+16 0\n", - " 10 846 37.021595 -76.345444 3.8021e+16 1.2179e+16 0\n", - " 10 847 37.002270 -76.349831 3.2795e+16 1.1074e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 12:43:20.231738+00:00, HCHO col 3.8461e+16, unc 1.2752e+16\n", - "no negative: averaged time 2024-07-16 12:43:20.231738+00:00, HCHO col 3.8461e+16, unc 1.2752e+16\n", - "no Small: averaged time 2024-07-16 12:43:20.231738+00:00, HCHO col 3.8461e+16, unc 1.2752e+16\n", - "178447537_TEMPO_HCHO_L2_V04_20240716T140202Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.030254 -76.290710 3.8733e+16 9.3582e+15 0\n", - " 10 847 37.010921 -76.295120 4.1516e+16 8.3109e+15 0\n", - " 11 846 37.028965 -76.347626 4.4792e+16 1.4216e+16 0\n", - " 11 847 37.009640 -76.352013 3.5126e+16 7.9307e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 14:03:30.012060+00:00, HCHO col 4.1778e+16, unc 1.1390e+16\n", - "no negative: averaged time 2024-07-16 14:03:30.012060+00:00, HCHO col 4.1778e+16, unc 1.1390e+16\n", - "no Small: averaged time 2024-07-16 14:03:30.012060+00:00, HCHO col 4.1778e+16, unc 1.1390e+16\n", - "178447538_TEMPO_HCHO_L2_V04_20240716T150202Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.029602 -76.309135 2.8304e+16 4.1610e+15 0\n", - " 10 847 37.010277 -76.313530 1.4423e+16 5.3699e+15 0\n", - " 11 846 37.027435 -76.366196 2.0331e+16 4.3630e+15 0\n", - " 11 847 37.008110 -76.370575 2.1589e+16 4.0967e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 15:03:32.080837+00:00, HCHO col 1.8747e+16, unc 4.7727e+15\n", - "no negative: averaged time 2024-07-16 15:03:32.080837+00:00, HCHO col 1.8747e+16, unc 4.7727e+15\n", - "no Small: averaged time 2024-07-16 15:03:32.080837+00:00, HCHO col 1.8747e+16, unc 4.7727e+15\n", - "178447541_TEMPO_HCHO_L2_V04_20240716T180202Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.038704 -76.282227 2.5181e+16 5.1533e+15 0\n", - " 9 846 37.019390 -76.286629 2.7954e+16 5.6322e+15 0\n", - " 10 845 37.036976 -76.339836 2.1513e+16 5.0314e+15 0\n", - " 10 846 37.017658 -76.344223 2.1442e+16 4.9061e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 18:03:33.376601+00:00, HCHO col 2.2251e+16, unc 5.0110e+15\n", - "no negative: averaged time 2024-07-16 18:03:33.376601+00:00, HCHO col 2.2251e+16, unc 5.0110e+15\n", - "no Small: averaged time 2024-07-16 18:03:33.376601+00:00, HCHO col 2.2251e+16, unc 5.0110e+15\n", - "178447539_TEMPO_HCHO_L2_V04_20240716T160202Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033310 -76.324402 1.9269e+16 7.6024e+15 0\n", - " 10 846 37.013981 -76.328789 3.5089e+16 7.1276e+15 0\n", - " 11 845 37.031361 -76.381699 2.8223e+16 6.6274e+15 0\n", - " 11 846 37.012039 -76.386070 3.0591e+16 6.7323e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 16:03:31.211903+00:00, HCHO col 3.1114e+16, unc 7.1321e+15\n", - "no negative: averaged time 2024-07-16 16:03:31.211903+00:00, HCHO col 3.1114e+16, unc 7.1321e+15\n", - "no Small: averaged time 2024-07-16 16:03:31.211903+00:00, HCHO col 3.1114e+16, unc 7.1321e+15\n", - "178447540_TEMPO_HCHO_L2_V04_20240716T170202Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.030930 -76.325645 3.1614e+16 5.1249e+15 0\n", - " 10 846 37.011608 -76.330032 2.4586e+16 5.9321e+15 0\n", - " 11 845 37.029469 -76.382851 3.4227e+16 6.8438e+15 0\n", - " 11 846 37.010147 -76.387222 2.9210e+16 6.1169e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 17:03:31.171367+00:00, HCHO col 2.8220e+16, unc 5.8179e+15\n", - "no negative: averaged time 2024-07-16 17:03:31.171367+00:00, HCHO col 2.8220e+16, unc 5.8179e+15\n", - "no Small: averaged time 2024-07-16 17:03:31.171367+00:00, HCHO col 2.8220e+16, unc 5.8179e+15\n", - "178447542_TEMPO_HCHO_L2_V04_20240716T190202Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.023598 -76.312088 2.7287e+16 4.8903e+15 0\n", - " 10 846 37.004292 -76.316467 3.0763e+16 5.7907e+15 0\n", - " 11 845 37.021645 -76.369041 1.6258e+16 6.0506e+15 0\n", - " 11 846 37.002327 -76.373405 2.6858e+16 6.1204e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 19:03:31.989552+00:00, HCHO col 2.3095e+16, unc 5.4937e+15\n", - "no negative: averaged time 2024-07-16 19:03:31.989552+00:00, HCHO col 2.3095e+16, unc 5.4937e+15\n", - "no Small: averaged time 2024-07-16 19:03:31.989552+00:00, HCHO col 2.3095e+16, unc 5.4937e+15\n", - "178447543_TEMPO_HCHO_L2_V04_20240716T200202Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.026932 -76.294144 2.9681e+16 6.3940e+15 0\n", - " 10 846 37.007622 -76.298538 2.6720e+16 5.3103e+15 0\n", - " 11 845 37.025280 -76.351387 1.9722e+16 5.5565e+15 0\n", - " 11 846 37.005962 -76.355766 2.0164e+16 5.0547e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 20:03:32.897478+00:00, HCHO col 2.1682e+16, unc 5.4867e+15\n", - "no negative: averaged time 2024-07-16 20:03:32.897478+00:00, HCHO col 2.1682e+16, unc 5.4867e+15\n", - "no Small: averaged time 2024-07-16 20:03:32.897478+00:00, HCHO col 2.1682e+16, unc 5.4867e+15\n", - "178447545_TEMPO_HCHO_L2_V04_20240716T220202Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.023792 -76.334183 9.4031e+15 6.1059e+15 0\n", - " 10 846 37.004490 -76.338554 3.9861e+16 7.1900e+15 0\n", - " 11 845 37.022141 -76.391541 2.4402e+16 6.4372e+15 0\n", - " 11 846 37.002823 -76.395905 2.2609e+16 6.9317e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 22:03:33.833384+00:00, HCHO col 1.5267e+16, unc 6.3088e+15\n", - "no negative: averaged time 2024-07-16 22:03:33.833384+00:00, HCHO col 1.5267e+16, unc 6.3088e+15\n", - "no Small: averaged time 2024-07-16 22:03:33.833384+00:00, HCHO col 1.5267e+16, unc 6.3088e+15\n", - "178447544_TEMPO_HCHO_L2_V04_20240716T210202Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033607 -76.316551 1.9760e+16 6.1994e+15 0\n", - " 10 846 37.014278 -76.320946 2.0945e+16 7.0605e+15 0\n", - " 11 845 37.032188 -76.373901 1.4200e+16 6.5392e+15 0\n", - " 11 846 37.012867 -76.378281 2.7376e+16 6.5306e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-16 21:03:34.654673+00:00, HCHO col 1.8890e+16, unc 6.8748e+15\n", - "no negative: averaged time 2024-07-16 21:03:34.654673+00:00, HCHO col 1.8890e+16, unc 6.8748e+15\n", - "no Small: averaged time 2024-07-16 21:03:34.654673+00:00, HCHO col 1.8890e+16, unc 6.8748e+15\n", - "jobID = 0cc6ac7e-2c62-4618-a438-ecb949354a72\n" + "222140570_TEMPO_HCHO_L2_V04_20240717T202850Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.036789 -105.187935 -1.0000e+30 -1.0000e+30 -9999\n", + " 9 692 40.015842 -105.182701 -1.0000e+30 -1.0000e+30 2\n", + " 10 691 40.038025 -105.246895 1.5584e+16 6.4495e+16 0\n", + " 10 692 40.017681 -105.241959 1.4895e+15 2.9953e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 20:29:50.745696+00:00, HCHO col 8.5369e+15, unc 4.7224e+16\n", + "no negative: averaged time 2024-07-17 20:29:50.745696+00:00, HCHO col 8.5369e+15, unc 4.7224e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140571_TEMPO_HCHO_L2_V04_20240717T212850Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046066 -105.217270 -2.5489e+15 8.1728e+15 0\n", + " 9 693 40.025692 -105.212318 -4.1068e+15 6.1620e+15 0\n", + " 10 692 40.047054 -105.276184 7.4234e+15 5.7085e+15 0\n", + " 10 693 40.026821 -105.271278 1.1677e+16 5.0905e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 21:29:52.131750+00:00, HCHO col 3.9031e+15, unc 6.7715e+15\n", + "no negative: averaged time 2024-07-17 21:29:53.779083+00:00, HCHO col 9.5503e+15, unc 5.3995e+15\n", + "no Small: averaged time 2024-07-17 21:29:53.779083+00:00, HCHO col 9.5503e+15, unc 5.3995e+15\n", + "222140572_TEMPO_HCHO_L2_V04_20240717T222850Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.044170 -105.228783 5.1226e+15 8.3323e+15 0\n", + " 10 693 40.023758 -105.223808 1.0578e+16 3.1320e+16 0\n", + " 11 692 40.044567 -105.287773 1.3267e+16 8.8514e+15 0\n", + " 11 693 40.024616 -105.283020 1.5788e+16 8.5507e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 22:29:51.509350+00:00, HCHO col 8.2737e+15, unc 1.0359e+16\n", + "no negative: averaged time 2024-07-17 22:29:51.509350+00:00, HCHO col 8.2737e+15, unc 1.0359e+16\n", + "no Small: averaged time 2024-07-17 22:29:53.779404+00:00, HCHO col 1.4527e+16, unc 8.7010e+15\n", + "222140573_TEMPO_HCHO_L2_V04_20240717T230855Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.042782 -105.218811 2.2129e+16 5.4275e+16 0\n", + " 9 693 40.022396 -105.213860 6.3442e+15 4.7908e+16 0\n", + " 10 692 40.043720 -105.277672 1.4220e+14 2.1990e+16 0\n", + " 10 693 40.023495 -105.272781 6.3292e+15 2.5314e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 23:10:00.013389+00:00, HCHO col 1.4690e+16, unc 4.1736e+16\n", + "no negative: averaged time 2024-07-17 23:10:00.013389+00:00, HCHO col 1.4690e+16, unc 4.1736e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140574_TEMPO_HCHO_L2_V04_20240717T234900Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.045177 -105.231239 -5.5692e+15 4.8821e+16 0\n", + " 10 693 40.024750 -105.226265 1.1367e+16 3.4670e+16 0\n", + " 11 692 40.045353 -105.291122 1.0488e+16 5.3239e+16 0\n", + " 11 693 40.025841 -105.286606 2.2201e+16 3.9139e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-17 23:50:04.389655+00:00, HCHO col 3.2641e+15, unc 4.4283e+16\n", + "no negative: averaged time 2024-07-17 23:50:05.774014+00:00, HCHO col 1.4686e+16, unc 4.2349e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "jobID = 22041de9-2bf4-4727-9252-4fa76f799eec\n" ] }, { @@ -2849,148 +3164,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178447640_TEMPO_HCHO_L2_V04_20240717T104152Z_S001G03_subsetted.nc\n", + "./222140648_TEMPO_HCHO_L2_V04_20240718T142907Z_S006G07_subsetted.nc\n", + "./222140646_TEMPO_HCHO_L2_V04_20240718T002905Z_S017G04_subsetted.nc\n", + "./222140647_TEMPO_HCHO_L2_V04_20240718T010910Z_S018G04_subsetted.nc\n", + "./222140651_TEMPO_HCHO_L2_V04_20240718T172907Z_S009G07_subsetted.nc\n", + "./222140649_TEMPO_HCHO_L2_V04_20240718T152907Z_S007G07_subsetted.nc\n", + "./222140650_TEMPO_HCHO_L2_V04_20240718T162907Z_S008G07_subsetted.nc\n", + "./222140655_TEMPO_HCHO_L2_V04_20240718T212907Z_S013G07_subsetted.nc\n", + "./222140652_TEMPO_HCHO_L2_V04_20240718T182907Z_S010G07_subsetted.nc\n", + "./222140656_TEMPO_HCHO_L2_V04_20240718T222907Z_S014G07_subsetted.nc\n", + "./222140653_TEMPO_HCHO_L2_V04_20240718T192907Z_S011G07_subsetted.nc\n", + "./222140654_TEMPO_HCHO_L2_V04_20240718T202907Z_S012G07_subsetted.nc\n", + "./222140658_TEMPO_HCHO_L2_V04_20240718T234917Z_S016G04_subsetted.nc\n", + "./222140657_TEMPO_HCHO_L2_V04_20240718T230912Z_S015G04_subsetted.nc\n", + "Number of result files: 13\n", + "222140648_TEMPO_HCHO_L2_V04_20240718T142907Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046177 -105.184929 1.0095e+16 4.9327e+15 0\n", + " 9 693 40.025436 -105.179810 1.3577e+16 4.8409e+15 0\n", + " 10 692 40.048058 -105.245049 9.0537e+15 6.1610e+15 0\n", + " 10 693 40.027679 -105.240089 1.2504e+16 4.4480e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 14:30:04.683075+00:00, HCHO col 1.0847e+16, unc 5.2649e+15\n", + "no negative: averaged time 2024-07-18 14:30:04.683075+00:00, HCHO col 1.0847e+16, unc 5.2649e+15\n", + "no Small: averaged time 2024-07-18 14:30:04.683075+00:00, HCHO col 1.0847e+16, unc 5.2649e+15\n", + "222140646_TEMPO_HCHO_L2_V04_20240718T002905Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.043877 -105.239586 3.2116e+16 6.1796e+16 0\n", + " 10 693 40.023502 -105.234634 -1.4056e+16 5.8350e+16 0\n", + " 11 692 40.043640 -105.298065 -1.6032e+16 5.8524e+16 0\n", + " 11 693 40.023899 -105.293419 -7.8715e+15 3.8126e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 00:30:08.960725+00:00, HCHO col 1.8023e+16, unc 5.9347e+16\n", + "no negative: averaged time 2024-07-18 00:30:08.755871+00:00, HCHO col 3.2116e+16, unc 6.1796e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140647_TEMPO_HCHO_L2_V04_20240718T010910Z_S018G04_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036953 -76.309631 5.7086e+16 2.1360e+16 1\n", - " 10 846 37.017601 -76.314026 4.6243e+16 2.9348e+16 1\n", - " 11 845 37.035328 -76.365189 -7.4983e+15 4.3646e+16 1\n", - " 11 846 37.015976 -76.369568 7.1927e+16 3.3797e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 10 692 40.041355 -105.226494 1.8341e+16 5.5492e+16 1\n", + " 10 693 40.020981 -105.221542 1.5552e+16 5.6927e+16 1\n", + " 11 692 40.042789 -105.285728 -1.3736e+15 1.8178e+16 1\n", + " 11 693 40.022793 -105.280960 9.1132e+15 1.5451e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447641_TEMPO_HCHO_L2_V04_20240717T112157Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.038513 -76.307068 2.9507e+16 1.9923e+16 0\n", - " 10 847 37.019173 -76.311462 4.5386e+16 1.6208e+16 0\n", - " 11 846 37.036629 -76.363945 6.0568e+15 1.7750e+16 0\n", - " 11 847 37.017288 -76.368317 4.7241e+16 9.4745e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 11:23:30.083207+00:00, HCHO col 4.2014e+16, unc 1.4023e+16\n", - "no negative: averaged time 2024-07-17 11:23:30.083207+00:00, HCHO col 4.2014e+16, unc 1.4023e+16\n", - "no Small: averaged time 2024-07-17 11:23:30.083332+00:00, HCHO col 4.4599e+16, unc 1.3557e+16\n", - "178447642_TEMPO_HCHO_L2_V04_20240717T120202Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.025440 -76.279762 2.2518e+16 5.1491e+15 0\n", - " 9 847 37.006111 -76.284172 2.4999e+16 4.5496e+15 0\n", - " 10 846 37.023964 -76.336761 2.3514e+16 4.9934e+15 0\n", - " 10 847 37.004642 -76.341141 2.2406e+16 4.6523e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 12:03:33.647932+00:00, HCHO col 2.3347e+16, unc 4.9264e+15\n", - "no negative: averaged time 2024-07-17 12:03:33.647932+00:00, HCHO col 2.3347e+16, unc 4.9264e+15\n", - "no Small: averaged time 2024-07-17 12:03:33.647932+00:00, HCHO col 2.3347e+16, unc 4.9264e+15\n", - "178447643_TEMPO_HCHO_L2_V04_20240717T124207Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024994 -76.300224 2.8051e+16 9.7356e+15 0\n", - " 10 847 37.005653 -76.304634 2.7796e+16 2.4859e+16 0\n", - " 11 846 37.023624 -76.358643 3.2123e+16 1.1093e+16 0\n", - " 11 847 37.004299 -76.363022 3.7127e+16 2.1422e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 12:43:37.513763+00:00, HCHO col 3.0474e+16, unc 1.3580e+16\n", - "no negative: averaged time 2024-07-17 12:43:37.513763+00:00, HCHO col 3.0474e+16, unc 1.3580e+16\n", - "no Small: averaged time 2024-07-17 12:43:37.513763+00:00, HCHO col 3.0474e+16, unc 1.3580e+16\n", - "178447644_TEMPO_HCHO_L2_V04_20240717T132212Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 847 37.020924 -76.333252 2.3724e+16 6.0994e+15 0\n", - " 10 848 37.001617 -76.337631 2.4057e+16 3.5529e+15 0\n", - " 11 847 37.019089 -76.391075 2.4995e+16 4.6820e+15 0\n", - " 11 848 36.999756 -76.395447 2.9097e+16 4.1940e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 13:23:43.876426+00:00, HCHO col 2.3804e+16, unc 5.9515e+15\n", - "no negative: averaged time 2024-07-17 13:23:43.876426+00:00, HCHO col 2.3804e+16, unc 5.9515e+15\n", - "no Small: averaged time 2024-07-17 13:23:43.876426+00:00, HCHO col 2.3804e+16, unc 5.9515e+15\n", - "178447645_TEMPO_HCHO_L2_V04_20240717T140220Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.029110 -76.334137 2.0854e+16 6.6408e+15 0\n", - " 10 847 37.009792 -76.338516 2.6150e+16 5.5882e+15 0\n", - " 11 846 37.027931 -76.391670 2.2822e+16 9.0847e+15 0\n", - " 11 847 37.008617 -76.396034 2.2716e+16 5.9742e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 14:03:48.745936+00:00, HCHO col 2.3283e+16, unc 6.1812e+15\n", - "no negative: averaged time 2024-07-17 14:03:48.745936+00:00, HCHO col 2.3283e+16, unc 6.1812e+15\n", - "no Small: averaged time 2024-07-17 14:03:48.745936+00:00, HCHO col 2.3283e+16, unc 6.1812e+15\n", - "178447647_TEMPO_HCHO_L2_V04_20240717T160220Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.028770 -76.329376 1.7095e+16 7.1301e+15 0\n", - " 10 847 37.009453 -76.333755 2.2247e+16 6.1557e+15 0\n", - " 11 846 37.027092 -76.387169 1.5067e+16 7.0908e+15 0\n", - " 11 847 37.007782 -76.391533 2.2397e+16 7.8523e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 16:03:49.002670+00:00, HCHO col 1.9125e+16, unc 6.7070e+15\n", - "no negative: averaged time 2024-07-17 16:03:49.002670+00:00, HCHO col 1.9125e+16, unc 6.7070e+15\n", - "no Small: averaged time 2024-07-17 16:03:49.002670+00:00, HCHO col 1.9125e+16, unc 6.7070e+15\n", - "178447646_TEMPO_HCHO_L2_V04_20240717T150220Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035259 -76.332474 2.2987e+16 5.3868e+15 0\n", - " 10 846 37.015942 -76.336853 1.5995e+16 4.7086e+15 0\n", - " 11 845 37.033493 -76.390686 1.9439e+16 6.0779e+15 0\n", - " 11 846 37.014187 -76.395042 2.2480e+16 5.1783e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 15:03:48.763639+00:00, HCHO col 1.7536e+16, unc 4.8712e+15\n", - "no negative: averaged time 2024-07-17 15:03:48.763639+00:00, HCHO col 1.7536e+16, unc 4.8712e+15\n", - "no Small: averaged time 2024-07-17 15:03:48.763639+00:00, HCHO col 1.7536e+16, unc 4.8712e+15\n", - "178447649_TEMPO_HCHO_L2_V04_20240717T180220Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038391 -76.297478 1.8838e+16 5.4347e+15 0\n", - " 10 846 37.019070 -76.301865 2.4047e+16 5.3362e+15 0\n", - " 11 845 37.036560 -76.354286 -6.3819e+14 6.5309e+15 0\n", - " 11 846 37.017254 -76.358665 8.3966e+15 5.9015e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 18:03:50.598617+00:00, HCHO col 1.3226e+16, unc 5.7641e+15\n", - "no negative: averaged time 2024-07-17 18:03:50.598644+00:00, HCHO col 1.3693e+16, unc 5.6993e+15\n", - "no Small: averaged time 2024-07-17 18:03:50.598644+00:00, HCHO col 1.3693e+16, unc 5.6993e+15\n", - "178447648_TEMPO_HCHO_L2_V04_20240717T170220Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033497 -76.316429 1.7298e+16 5.6433e+15 0\n", - " 10 846 37.014164 -76.320824 2.5508e+16 5.5630e+15 0\n", - " 11 845 37.031727 -76.374084 1.4890e+16 4.5339e+15 0\n", - " 11 846 37.012402 -76.378464 1.4470e+16 5.3990e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 17:03:49.628736+00:00, HCHO col 2.1954e+16, unc 5.2580e+15\n", - "no negative: averaged time 2024-07-17 17:03:49.628736+00:00, HCHO col 2.1954e+16, unc 5.2580e+15\n", - "no Small: averaged time 2024-07-17 17:03:49.628736+00:00, HCHO col 2.1954e+16, unc 5.2580e+15\n", - "178447650_TEMPO_HCHO_L2_V04_20240717T190220Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.039383 -76.288071 1.7638e+16 1.1669e+16 0\n", - " 10 846 37.020061 -76.292465 1.2956e+16 1.1486e+16 0\n", - " 11 845 37.038235 -76.346550 3.2680e+16 1.9730e+16 0\n", - " 11 846 37.018917 -76.350929 3.2122e+16 2.5043e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 19:03:51.019203+00:00, HCHO col 2.7539e+16, unc 2.1474e+16\n", - "no negative: averaged time 2024-07-17 19:03:51.019203+00:00, HCHO col 2.7539e+16, unc 2.1474e+16\n", - "no Small: averaged time 2024-07-17 19:03:51.019203+00:00, HCHO col 2.7539e+16, unc 2.1474e+16\n", - "178447651_TEMPO_HCHO_L2_V04_20240717T200220Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.034439 -76.300285 3.4695e+16 1.5293e+16 0\n", - " 10 845 37.015121 -76.304680 3.8781e+16 1.2341e+16 0\n", - " 11 844 37.032330 -76.357239 3.2928e+16 1.9858e+16 0\n", - " 11 845 37.013008 -76.361618 2.5706e+16 1.1952e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 20:03:50.493345+00:00, HCHO col 3.3516e+16, unc 1.4739e+16\n", - "no negative: averaged time 2024-07-17 20:03:50.493345+00:00, HCHO col 3.3516e+16, unc 1.4739e+16\n", - "no Small: averaged time 2024-07-17 20:03:50.493345+00:00, HCHO col 3.3516e+16, unc 1.4739e+16\n", - "178447653_TEMPO_HCHO_L2_V04_20240717T220220Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.032352 -76.279259 2.6121e+16 8.5648e+15 0\n", - " 9 846 37.013031 -76.283661 2.8100e+16 1.2298e+16 0\n", - " 10 845 37.031166 -76.336380 1.1451e+16 1.3068e+16 0\n", - " 10 846 37.011860 -76.340744 1.6732e+16 1.1682e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 22:03:51.629999+00:00, HCHO col 1.4884e+16, unc 1.2309e+16\n", - "no negative: averaged time 2024-07-17 22:03:51.629999+00:00, HCHO col 1.4884e+16, unc 1.2309e+16\n", - "no Small: averaged time 2024-07-17 22:03:49.727338+00:00, HCHO col 2.3651e+16, unc 1.0848e+16\n", - "178447652_TEMPO_HCHO_L2_V04_20240717T210220Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033257 -76.324989 -1.8960e+15 5.1299e+16 0\n", - " 10 846 37.013935 -76.329369 -1.4482e+16 2.6420e+16 0\n", - " 11 845 37.031628 -76.380814 2.4807e+16 2.7169e+16 0\n", - " 11 846 37.012310 -76.385178 4.7277e+16 1.2821e+17 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-17 21:03:52.223322+00:00, HCHO col -5.9930e+15, unc 3.1169e+16\n", - "no negative: averaged time 2024-07-17 21:03:54.781976+00:00, HCHO col 3.6042e+16, unc 7.7688e+16\n", + "222140651_TEMPO_HCHO_L2_V04_20240718T172907Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.039082 -105.199638 6.2955e+15 1.8731e+16 0\n", + " 9 693 40.018303 -105.194481 2.2452e+16 1.8189e+16 0\n", + " 10 692 40.039982 -105.259148 1.7239e+16 5.9881e+16 0\n", + " 10 693 40.019638 -105.254196 3.3288e+16 5.7757e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 17:30:06.902728+00:00, HCHO col 1.5945e+16, unc 4.8166e+16\n", + "no negative: averaged time 2024-07-18 17:30:06.902728+00:00, HCHO col 1.5945e+16, unc 4.8166e+16\n", + "no Small: averaged time 2024-07-18 17:30:04.715972+00:00, HCHO col 2.2452e+16, unc 1.8189e+16\n", + "222140649_TEMPO_HCHO_L2_V04_20240718T152907Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.040951 -105.183624 1.4586e+16 4.9035e+15 0\n", + " 9 693 40.020088 -105.178452 4.8605e+15 5.0098e+15 0\n", + " 10 692 40.041813 -105.243225 9.9435e+15 4.8705e+15 0\n", + " 10 693 40.021458 -105.238281 1.1587e+16 5.1784e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 15:30:04.712356+00:00, HCHO col 1.0306e+16, unc 4.9358e+15\n", + "no negative: averaged time 2024-07-18 15:30:04.712356+00:00, HCHO col 1.0306e+16, unc 4.9358e+15\n", + "no Small: averaged time 2024-07-18 15:30:04.712356+00:00, HCHO col 1.0306e+16, unc 4.9358e+15\n", + "222140650_TEMPO_HCHO_L2_V04_20240718T162907Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.054104 -105.224937 3.1123e+15 5.0382e+15 0\n", + " 10 692 40.033619 -105.219933 6.9259e+15 5.4002e+15 0\n", + " 11 691 40.054916 -105.283524 -6.9243e+15 2.2898e+16 0\n", + " 11 692 40.034771 -105.278671 5.1820e+15 4.4746e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 16:30:05.814324+00:00, HCHO col 5.6508e+15, unc 5.0046e+15\n", + "no negative: averaged time 2024-07-18 16:30:05.814324+00:00, HCHO col 5.6508e+15, unc 5.0046e+15\n", + "no Small: averaged time 2024-07-18 16:30:06.235083+00:00, HCHO col 6.0539e+15, unc 4.9374e+15\n", + "222140655_TEMPO_HCHO_L2_V04_20240718T212907Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.041313 -105.216812 2.4271e+15 9.5273e+15 0\n", + " 9 693 40.020889 -105.211830 2.9933e+15 1.1749e+16 0\n", + " 10 692 40.042309 -105.276604 -1.5871e+16 9.4695e+15 1\n", + " 10 693 40.022057 -105.271698 1.4928e+16 2.3932e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 21:30:08.757853+00:00, HCHO col 6.7828e+15, unc 1.5069e+16\n", + "no negative: averaged time 2024-07-18 21:30:08.757853+00:00, HCHO col 6.7828e+15, unc 1.5069e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140652_TEMPO_HCHO_L2_V04_20240718T182907Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.043041 -105.242393 3.4402e+16 5.2978e+16 0\n", + " 10 693 40.022694 -105.237442 6.9999e+15 2.5818e+16 0\n", + " 11 692 40.041855 -105.301018 4.3697e+16 5.1430e+16 0\n", + " 11 693 40.022053 -105.296341 2.6876e+16 4.8896e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 18:30:07.796369+00:00, HCHO col 2.7275e+16, unc 4.5969e+16\n", + "no negative: averaged time 2024-07-18 18:30:07.796369+00:00, HCHO col 2.7275e+16, unc 4.5969e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140656_TEMPO_HCHO_L2_V04_20240718T222907Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038582 -105.239754 5.7612e+15 2.0055e+16 0\n", + " 10 693 40.018204 -105.234795 7.1137e+16 3.4913e+16 0\n", + " 11 692 40.038445 -105.298637 -5.6759e+15 5.2863e+16 0\n", + " 11 693 40.018623 -105.293945 -7.0023e+15 4.2410e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 22:30:07.875810+00:00, HCHO col 5.9682e+15, unc 2.1175e+16\n", + "no negative: averaged time 2024-07-18 22:30:07.746900+00:00, HCHO col 3.8449e+16, unc 2.7484e+16\n", + "no Small: averaged time 2024-07-18 22:30:07.746900+00:00, HCHO col 7.1137e+16, unc 3.4913e+16\n", + "222140653_TEMPO_HCHO_L2_V04_20240718T192907Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.053085 -105.189262 5.0645e+15 7.1962e+15 0\n", + " 9 692 40.032478 -105.184204 6.8761e+15 2.6330e+16 0\n", + " 10 691 40.054012 -105.248169 -7.7920e+15 6.3901e+16 0\n", + " 10 692 40.033627 -105.243210 -9.7104e+15 5.1692e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 19:30:07.637099+00:00, HCHO col -8.8712e+15, unc 5.1953e+16\n", + "no negative: averaged time 2024-07-18 19:30:04.715265+00:00, HCHO col 5.9703e+15, unc 1.6763e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140654_TEMPO_HCHO_L2_V04_20240718T202907Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.057854 -105.234718 6.5154e+15 6.3140e+16 0\n", + " 10 692 40.037292 -105.229668 1.5906e+16 2.7631e+16 0\n", + " 11 691 40.057365 -105.293365 -8.6167e+15 4.6610e+16 0\n", + " 11 692 40.037926 -105.288872 1.8367e+16 4.1573e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 20:30:08.377205+00:00, HCHO col 1.6383e+16, unc 3.0662e+16\n", + "no negative: averaged time 2024-07-18 20:30:08.377205+00:00, HCHO col 1.6383e+16, unc 3.0662e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "jobID = 45cb8e98-ab14-4eaa-8f94-c274864c23ce\n" + "222140658_TEMPO_HCHO_L2_V04_20240718T234917Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.047485 -105.239265 6.9358e+15 6.1520e+15 0\n", + " 10 693 40.027096 -105.234299 1.1112e+16 6.5942e+15 0\n", + " 11 692 40.046917 -105.298012 5.5921e+15 5.5894e+15 0\n", + " 11 693 40.027267 -105.293411 -4.4389e+15 1.1802e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 23:50:21.016747+00:00, HCHO col 7.6238e+15, unc 6.8244e+15\n", + "no negative: averaged time 2024-07-18 23:50:21.017585+00:00, HCHO col 8.8529e+15, unc 6.3181e+15\n", + "no Small: averaged time 2024-07-18 23:50:21.017585+00:00, HCHO col 8.8529e+15, unc 6.3181e+15\n", + "222140657_TEMPO_HCHO_L2_V04_20240718T230912Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.043015 -105.195915 2.9521e+15 2.2215e+16 0\n", + " 9 694 40.022263 -105.190781 -1.2418e+16 3.3954e+16 0\n", + " 10 693 40.044647 -105.255127 3.5377e+16 5.8699e+16 0\n", + " 10 694 40.024315 -105.250191 4.0674e+16 6.6867e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-18 23:10:18.193220+00:00, HCHO col 3.0877e+16, unc 5.4376e+16\n", + "no negative: averaged time 2024-07-18 23:10:18.193220+00:00, HCHO col 3.0877e+16, unc 5.4376e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "jobID = 5cb9073c-622c-455a-badb-fda0e5b71e8c\n" ] }, { @@ -3004,148 +3322,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178447655_TEMPO_HCHO_L2_V04_20240718T104209Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034222 -76.319199 6.7436e+15 4.2668e+16 1\n", - " 10 846 37.014851 -76.323593 -2.8847e+15 4.9178e+16 1\n", - " 11 845 37.032742 -76.375443 5.9760e+16 2.2766e+16 1\n", - " 11 846 37.013378 -76.379822 1.1194e+17 4.5829e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "./222140804_TEMPO_HCHO_L2_V04_20240719T002922Z_S017G04_subsetted.nc\n", + "./222140808_TEMPO_HCHO_L2_V04_20240719T162924Z_S008G07_subsetted.nc\n", + "./222140806_TEMPO_HCHO_L2_V04_20240719T142924Z_S006G07_subsetted.nc\n", + "./222140807_TEMPO_HCHO_L2_V04_20240719T152924Z_S007G07_subsetted.nc\n", + "./222140805_TEMPO_HCHO_L2_V04_20240719T010927Z_S018G04_subsetted.nc\n", + "./222140809_TEMPO_HCHO_L2_V04_20240719T172924Z_S009G07_subsetted.nc\n", + "./222140810_TEMPO_HCHO_L2_V04_20240719T182924Z_S010G07_subsetted.nc\n", + "./222140811_TEMPO_HCHO_L2_V04_20240719T192924Z_S011G07_subsetted.nc\n", + "./222140813_TEMPO_HCHO_L2_V04_20240719T212924Z_S013G07_subsetted.nc\n", + "./222140812_TEMPO_HCHO_L2_V04_20240719T202924Z_S012G07_subsetted.nc\n", + "./222140814_TEMPO_HCHO_L2_V04_20240719T222924Z_S014G07_subsetted.nc\n", + "./222140815_TEMPO_HCHO_L2_V04_20240719T230929Z_S015G04_subsetted.nc\n", + "./222140816_TEMPO_HCHO_L2_V04_20240719T234934Z_S016G04_subsetted.nc\n", + "Number of result files: 13\n", + "222140804_TEMPO_HCHO_L2_V04_20240719T002922Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.049866 -105.224228 -4.0463e+15 6.9863e+15 0\n", + " 10 693 40.029430 -105.219238 -6.6365e+14 6.8984e+15 0\n", + " 11 692 40.051037 -105.283043 5.3838e+15 7.1374e+15 0\n", + " 11 693 40.030945 -105.278214 1.0128e+15 7.8895e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 00:30:26.831286+00:00, HCHO col -1.3157e+15, unc 7.2824e+15\n", + "no negative: averaged time 2024-07-19 00:30:28.788315+00:00, HCHO col 3.1983e+15, unc 7.5135e+15\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447657_TEMPO_HCHO_L2_V04_20240718T120219Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.037201 -76.326408 2.6874e+16 9.9570e+15 0\n", - " 10 847 37.017857 -76.330803 4.4168e+16 9.8583e+15 0\n", - " 11 846 37.035435 -76.384018 3.6110e+16 1.1909e+16 0\n", - " 11 847 37.016102 -76.388390 2.3985e+16 2.1264e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 12:03:51.054264+00:00, HCHO col 4.2833e+16, unc 1.0089e+16\n", - "no negative: averaged time 2024-07-18 12:03:51.054264+00:00, HCHO col 4.2833e+16, unc 1.0089e+16\n", - "no Small: averaged time 2024-07-18 12:03:51.054264+00:00, HCHO col 4.2833e+16, unc 1.0089e+16\n", - "178447656_TEMPO_HCHO_L2_V04_20240718T112214Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.030743 -76.312836 1.5228e+16 2.1331e+16 0\n", - " 10 847 37.011391 -76.317223 3.3826e+16 1.0148e+16 0\n", - " 11 846 37.029160 -76.370346 1.4641e+16 4.0655e+16 0\n", - " 11 847 37.009815 -76.374725 2.6489e+16 1.5683e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 11:23:46.849404+00:00, HCHO col 2.4474e+16, unc 2.2873e+16\n", - "no negative: averaged time 2024-07-18 11:23:46.849404+00:00, HCHO col 2.4474e+16, unc 2.2873e+16\n", - "no Small: averaged time 2024-07-18 11:23:47.230382+00:00, HCHO col 3.0158e+16, unc 1.2915e+16\n", - "178447658_TEMPO_HCHO_L2_V04_20240718T124224Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.033150 -76.283455 1.9025e+16 1.6195e+16 0\n", - " 9 847 37.013817 -76.287857 2.0797e+16 1.8459e+16 0\n", - " 10 846 37.031574 -76.340042 2.7529e+16 1.0530e+16 0\n", - " 10 847 37.012245 -76.344429 4.1399e+16 2.1010e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 12:43:55.397291+00:00, HCHO col 3.3540e+16, unc 1.6462e+16\n", - "no negative: averaged time 2024-07-18 12:43:55.397291+00:00, HCHO col 3.3540e+16, unc 1.6462e+16\n", - "no Small: averaged time 2024-07-18 12:43:55.397291+00:00, HCHO col 3.3540e+16, unc 1.6462e+16\n", - "178447659_TEMPO_HCHO_L2_V04_20240718T132229Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.030426 -76.282738 2.4800e+16 3.0345e+16 0\n", - " 9 847 37.011097 -76.287140 3.4617e+16 1.1568e+16 0\n", - " 10 846 37.029182 -76.339981 3.2766e+16 4.6488e+16 0\n", - " 10 847 37.009857 -76.344368 3.6682e+16 5.8632e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 13:24:00.436522+00:00, HCHO col 3.4394e+16, unc 4.7683e+16\n", - "no negative: averaged time 2024-07-18 13:24:00.436522+00:00, HCHO col 3.4394e+16, unc 4.7683e+16\n", - "no Small: averaged time 2024-07-18 13:23:57.690931+00:00, HCHO col 3.4617e+16, unc 1.1568e+16\n", - "178447660_TEMPO_HCHO_L2_V04_20240718T140237Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.031048 -76.278610 5.2190e+16 1.7775e+16 0\n", - " 9 847 37.011723 -76.283012 4.0418e+16 3.0193e+16 0\n", - " 10 846 37.029282 -76.336899 4.6381e+16 1.7352e+16 0\n", - " 10 847 37.009964 -76.341270 2.5619e+16 4.1544e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 14:04:05.587271+00:00, HCHO col 3.7248e+16, unc 2.8231e+16\n", - "no negative: averaged time 2024-07-18 14:04:05.587271+00:00, HCHO col 3.7248e+16, unc 2.8231e+16\n", - "no Small: averaged time 2024-07-18 14:04:03.687438+00:00, HCHO col 4.6330e+16, unc 2.1773e+16\n", - "178447661_TEMPO_HCHO_L2_V04_20240718T150237Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.035400 -76.331398 3.1056e+16 3.5459e+16 0\n", - " 10 847 37.016083 -76.335785 2.0257e+16 6.4746e+15 0\n", - " 11 846 37.033562 -76.388947 1.7521e+16 4.6939e+16 0\n", - " 11 847 37.014252 -76.393311 3.6055e+16 6.8738e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 15:04:05.817093+00:00, HCHO col 2.2226e+16, unc 1.3244e+16\n", - "no negative: averaged time 2024-07-18 15:04:05.817093+00:00, HCHO col 2.2226e+16, unc 1.3244e+16\n", - "no Small: averaged time 2024-07-18 15:04:05.722975+00:00, HCHO col 2.0257e+16, unc 6.4746e+15\n", - "178447662_TEMPO_HCHO_L2_V04_20240718T160237Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.037819 -76.328110 4.0887e+16 1.3131e+16 0\n", - " 10 846 37.018497 -76.332489 4.9093e+16 1.5359e+16 0\n", - " 11 845 37.036430 -76.386131 3.3391e+16 3.5597e+16 0\n", - " 11 846 37.017117 -76.390495 2.1761e+16 2.5866e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 16:04:05.957252+00:00, HCHO col 4.7694e+16, unc 1.6898e+16\n", - "no negative: averaged time 2024-07-18 16:04:05.957252+00:00, HCHO col 4.7694e+16, unc 1.6898e+16\n", - "no Small: averaged time 2024-07-18 16:04:05.719705+00:00, HCHO col 4.4990e+16, unc 1.4245e+16\n", - "178447663_TEMPO_HCHO_L2_V04_20240718T170237Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021786 -76.320702 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 847 37.002487 -76.325073 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 846 37.020172 -76.377197 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 847 37.000858 -76.381569 -1.0000e+30 -1.0000e+30 -9999\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140808_TEMPO_HCHO_L2_V04_20240719T162924Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.047291 -105.184784 2.2274e+16 4.0286e+16 0\n", + " 9 692 40.026585 -105.179688 3.0680e+15 3.5718e+16 0\n", + " 10 691 40.048588 -105.244774 2.0720e+16 2.9508e+16 0\n", + " 10 692 40.028214 -105.239815 1.2021e+16 2.4632e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 16:30:21.716744+00:00, HCHO col 1.5989e+16, unc 2.6869e+16\n", + "no negative: averaged time 2024-07-19 16:30:21.716744+00:00, HCHO col 1.5989e+16, unc 2.6869e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447664_TEMPO_HCHO_L2_V04_20240718T180237Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.023964 -76.307617 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 847 37.004646 -76.312012 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 846 37.022152 -76.364281 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 847 37.002838 -76.368645 -1.0000e+30 -1.0000e+30 -9999\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "222140806_TEMPO_HCHO_L2_V04_20240719T142924Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.042427 -105.202499 -5.4765e+15 2.1618e+16 0\n", + " 9 693 40.021725 -105.197403 5.3769e+15 2.0585e+16 0\n", + " 10 692 40.044445 -105.263206 4.1521e+15 1.8050e+16 0\n", + " 10 693 40.024128 -105.258286 -5.0064e+14 1.9849e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 14:30:20.725242+00:00, HCHO col -4.1036e+14, unc 1.9764e+16\n", + "no negative: averaged time 2024-07-19 14:30:20.192068+00:00, HCHO col 4.7645e+15, unc 1.9318e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140807_TEMPO_HCHO_L2_V04_20240719T152924Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.039204 -105.190483 1.7798e+16 2.0491e+16 0\n", + " 9 692 40.018311 -105.185280 1.4978e+16 1.1561e+16 0\n", + " 10 691 40.040218 -105.249916 1.0698e+16 5.9307e+15 0\n", + " 10 692 40.019878 -105.244972 9.4559e+15 1.8833e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 15:30:21.352400+00:00, HCHO col 1.1410e+16, unc 9.3610e+15\n", + "no negative: averaged time 2024-07-19 15:30:21.352400+00:00, HCHO col 1.1410e+16, unc 9.3610e+15\n", + "no Small: averaged time 2024-07-19 15:30:20.207672+00:00, HCHO col 1.2838e+16, unc 8.7457e+15\n", + "222140805_TEMPO_HCHO_L2_V04_20240719T010927Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.038197 -105.188927 -2.0211e+15 1.2329e+16 1\n", + " 9 693 40.017258 -105.183701 2.5963e+16 1.0589e+16 1\n", + " 10 692 40.038849 -105.248825 -2.1269e+16 1.1435e+16 1\n", + " 10 693 40.018497 -105.243881 1.2515e+16 1.0296e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447665_TEMPO_HCHO_L2_V04_20240718T190237Z_S011G03_subsetted.nc\n", + "222140809_TEMPO_HCHO_L2_V04_20240719T172924Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.039333 -105.212730 7.2367e+15 6.0361e+15 0\n", + " 9 693 40.018768 -105.207687 2.4772e+16 4.3031e+16 0\n", + " 10 692 40.040150 -105.271950 -1.9236e+15 5.5001e+16 0\n", + " 10 693 40.019825 -105.267014 -4.0100e+15 2.6891e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 17:30:23.252650+00:00, HCHO col 2.3944e+15, unc 2.7584e+16\n", + "no negative: averaged time 2024-07-19 17:30:21.725614+00:00, HCHO col 1.6004e+16, unc 2.4534e+16\n", + "no Small: averaged time 2024-07-19 17:30:21.725614+00:00, HCHO col 7.2367e+15, unc 6.0361e+15\n", + "222140810_TEMPO_HCHO_L2_V04_20240719T182924Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.054665 -105.194611 5.9815e+15 3.0951e+16 0\n", + " 9 692 40.034077 -105.189560 4.8251e+15 2.1686e+16 0\n", + " 10 691 40.056225 -105.253738 -6.2748e+17 5.1323e+17 1\n", + " 10 692 40.035923 -105.248810 -2.6820e+15 1.7317e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 18:30:24.376907+00:00, HCHO col -1.6619e+15, unc 1.8663e+16\n", + "no negative: averaged time 2024-07-19 18:30:21.715080+00:00, HCHO col 5.4033e+15, unc 2.6318e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140811_TEMPO_HCHO_L2_V04_20240719T192924Z_S011G07_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032104 -76.305611 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 846 37.012787 -76.309998 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 845 37.030815 -76.363098 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 846 37.011490 -76.367477 -1.0000e+30 -1.0000e+30 -9999\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 9 691 40.052078 -105.201607 -1.0000e+30 -1.0000e+30 -9999\n", + " 9 692 40.031563 -105.196594 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 691 40.052673 -105.260139 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 692 40.032417 -105.255241 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447666_TEMPO_HCHO_L2_V04_20240718T200237Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.024460 -76.304451 1.8753e+16 7.3556e+15 0\n", - " 10 846 37.005138 -76.308846 2.4989e+16 9.8986e+15 0\n", - " 11 845 37.022537 -76.361526 1.5505e+16 7.0303e+15 0\n", - " 11 846 37.003227 -76.365898 2.4990e+16 4.3538e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 20:04:07.385737+00:00, HCHO col 1.7964e+16, unc 7.5845e+15\n", - "no negative: averaged time 2024-07-18 20:04:07.385737+00:00, HCHO col 1.7964e+16, unc 7.5845e+15\n", - "no Small: averaged time 2024-07-18 20:04:07.385737+00:00, HCHO col 1.7964e+16, unc 7.5845e+15\n", - "178447667_TEMPO_HCHO_L2_V04_20240718T210237Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022766 -76.310555 -6.6888e+15 1.3709e+17 0\n", - " 10 847 37.003460 -76.314934 2.3246e+16 7.7358e+16 0\n", - " 11 846 37.020847 -76.367958 1.0334e+17 1.4750e+17 1\n", - " 11 847 37.001530 -76.372330 2.4912e+16 2.4215e+17 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 21:04:08.748777+00:00, HCHO col 8.2788e+15, unc 1.0722e+17\n", - "no negative: averaged time 2024-07-18 21:04:08.748777+00:00, HCHO col 2.3246e+16, unc 7.7358e+16\n", + "222140813_TEMPO_HCHO_L2_V04_20240719T212924Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.038811 -105.202469 2.1510e+15 9.8638e+15 0\n", + " 9 694 40.018066 -105.197327 6.4556e+15 5.5684e+15 0\n", + " 10 693 40.039574 -105.261391 7.9242e+15 9.1005e+15 0\n", + " 10 694 40.019207 -105.256432 -3.9389e+15 7.3026e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 21:30:26.804519+00:00, HCHO col 5.0029e+15, unc 9.1845e+15\n", + "no negative: averaged time 2024-07-19 21:30:26.804934+00:00, HCHO col 6.4481e+15, unc 8.9672e+15\n", + "no Small: averaged time 2024-07-19 21:30:24.746692+00:00, HCHO col 6.4556e+15, unc 5.5684e+15\n", + "222140812_TEMPO_HCHO_L2_V04_20240719T202924Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.041439 -105.233032 1.2205e+15 8.8493e+15 0\n", + " 10 693 40.021069 -105.228073 1.0366e+16 4.3262e+16 0\n", + " 11 692 40.041878 -105.291870 4.8686e+15 7.6590e+15 0\n", + " 11 693 40.022289 -105.287308 7.1945e+15 6.9365e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 20:30:25.255994+00:00, HCHO col 2.5471e+15, unc 9.7328e+15\n", + "no negative: averaged time 2024-07-19 20:30:25.255994+00:00, HCHO col 2.5471e+15, unc 9.7328e+15\n", + "no Small: averaged time 2024-07-19 20:30:27.778008+00:00, HCHO col 7.1945e+15, unc 6.9365e+15\n", + "222140814_TEMPO_HCHO_L2_V04_20240719T222924Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.050766 -105.231247 1.0017e+16 2.3696e+16 0\n", + " 10 693 40.030277 -105.226227 1.5730e+16 1.8185e+16 0\n", + " 11 692 40.051548 -105.290443 1.9635e+15 1.9006e+16 0\n", + " 11 693 40.031937 -105.285866 -1.5375e+15 2.5558e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 22:30:25.460571+00:00, HCHO col 9.7434e+15, unc 2.1765e+16\n", + "no negative: averaged time 2024-07-19 22:30:25.463336+00:00, HCHO col 1.1857e+16, unc 1.8964e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140815_TEMPO_HCHO_L2_V04_20240719T230929Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.055946 -105.225670 -3.6471e+15 2.0586e+16 0\n", + " 10 693 40.035389 -105.220619 4.4043e+14 5.0982e+16 0\n", + " 11 692 40.056995 -105.284660 -2.7210e+15 1.1702e+16 0\n", + " 11 693 40.036839 -105.279800 1.7048e+16 3.3200e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 23:10:33.821708+00:00, HCHO col 6.0128e+15, unc 4.2314e+16\n", + "no negative: averaged time 2024-07-19 23:10:34.262574+00:00, HCHO col 8.7443e+15, unc 4.2091e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222140816_TEMPO_HCHO_L2_V04_20240719T234934Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.043911 -105.187561 6.4204e+15 5.1851e+16 0\n", + " 9 693 40.023125 -105.182419 2.3551e+16 6.6020e+16 0\n", + " 10 692 40.045040 -105.247185 1.7157e+16 2.0327e+16 0\n", + " 10 693 40.024685 -105.242241 3.1503e+16 7.6530e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-19 23:50:37.562929+00:00, HCHO col 2.1820e+16, unc 4.2751e+16\n", + "no negative: averaged time 2024-07-19 23:50:37.562929+00:00, HCHO col 2.1820e+16, unc 4.2751e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447668_TEMPO_HCHO_L2_V04_20240718T220237Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.029663 -76.278214 1.2693e+16 3.6555e+16 0\n", - " 9 846 37.010349 -76.282608 3.6921e+15 5.2622e+16 0\n", - " 10 845 37.028301 -76.335487 5.1054e+16 4.8299e+16 0\n", - " 10 846 37.008995 -76.339859 8.1181e+16 5.9076e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-18 22:04:08.712056+00:00, HCHO col 6.2614e+16, unc 5.2696e+16\n", - "no negative: averaged time 2024-07-18 22:04:08.712056+00:00, HCHO col 6.2614e+16, unc 5.2696e+16\n", - "no Small: averaged time 2024-07-18 22:04:08.749295+00:00, HCHO col 6.6117e+16, unc 5.3688e+16\n", - "jobID = a7d2b1f6-a3e9-4244-92fd-24c4852a52b0\n" + "jobID = 09219705-89d6-4cc0-ab32-102e2305b0d7\n" ] }, { @@ -3159,148 +3480,129 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178447775_TEMPO_HCHO_L2_V04_20240719T104226Z_S001G03_subsetted.nc\n", + "./222141097_TEMPO_HCHO_L2_V04_20240720T002939Z_S017G04_subsetted.nc\n", + "./222141098_TEMPO_HCHO_L2_V04_20240720T010944Z_S018G04_subsetted.nc\n", + "./222141099_TEMPO_HCHO_L2_V04_20240720T142941Z_S006G07_subsetted.nc\n", + "./222141100_TEMPO_HCHO_L2_V04_20240720T152926Z_S007G07_subsetted.nc\n", + "./222141102_TEMPO_HCHO_L2_V04_20240720T192941Z_S010G07_subsetted.nc\n", + "./222141101_TEMPO_HCHO_L2_V04_20240720T182941Z_S009G07_subsetted.nc\n", + "./222141104_TEMPO_HCHO_L2_V04_20240720T212941Z_S012G07_subsetted.nc\n", + "./222141103_TEMPO_HCHO_L2_V04_20240720T202941Z_S011G07_subsetted.nc\n", + "./222141105_TEMPO_HCHO_L2_V04_20240720T222941Z_S013G07_subsetted.nc\n", + "./222141106_TEMPO_HCHO_L2_V04_20240720T230946Z_S014G04_subsetted.nc\n", + "./222141107_TEMPO_HCHO_L2_V04_20240720T234951Z_S015G04_subsetted.nc\n", + "Number of result files: 11\n", + "222141097_TEMPO_HCHO_L2_V04_20240720T002939Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.050976 -105.191223 -1.6928e+15 1.0871e+17 0\n", + " 9 693 40.030281 -105.186119 7.5820e+15 3.5540e+16 0\n", + " 10 692 40.051952 -105.250114 -1.2410e+16 3.9014e+16 0\n", + " 10 693 40.031586 -105.245163 1.8187e+16 5.2857e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 00:30:42.500101+00:00, HCHO col 1.0027e+16, unc 5.4252e+16\n", + "no negative: averaged time 2024-07-20 00:30:41.221478+00:00, HCHO col 1.2884e+16, unc 4.4198e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141098_TEMPO_HCHO_L2_V04_20240720T010944Z_S018G04_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.041313 -76.283310 1.4711e+16 1.8851e+16 1\n", - " 9 846 37.021965 -76.287704 2.4600e+16 1.3562e+16 1\n", - " 10 845 37.039333 -76.340729 1.8491e+16 1.5337e+16 1\n", - " 10 846 37.019985 -76.345116 1.3381e+16 1.3691e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 9 692 40.048252 -105.189980 9.4562e+15 1.8262e+16 1\n", + " 9 693 40.027523 -105.184868 2.3682e+16 2.0740e+16 1\n", + " 10 692 40.049355 -105.249039 1.0341e+16 2.3480e+16 1\n", + " 10 693 40.028984 -105.244087 2.7225e+16 1.7006e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447777_TEMPO_HCHO_L2_V04_20240719T120236Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022491 -76.298180 2.5866e+16 6.5301e+15 0\n", - " 10 847 37.003147 -76.302574 1.8427e+16 9.7863e+15 0\n", - " 11 846 37.020760 -76.354500 1.8423e+16 1.4152e+16 0\n", - " 11 847 37.001427 -76.358871 1.8278e+16 1.7484e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 12:04:06.741480+00:00, HCHO col 2.0428e+16, unc 1.1870e+16\n", - "no negative: averaged time 2024-07-19 12:04:06.741480+00:00, HCHO col 2.0428e+16, unc 1.1870e+16\n", - "no Small: averaged time 2024-07-19 12:04:06.741480+00:00, HCHO col 2.0428e+16, unc 1.1870e+16\n", - "178447776_TEMPO_HCHO_L2_V04_20240719T112231Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.027817 -76.321167 2.0052e+16 1.4483e+16 0\n", - " 10 847 37.008480 -76.325546 7.3007e+15 9.3008e+15 0\n", - " 11 846 37.025784 -76.377762 -5.7436e+15 1.0351e+16 0\n", - " 11 847 37.006443 -76.382133 2.3741e+16 1.1226e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 11:24:03.454591+00:00, HCHO col 9.1133e+15, unc 1.1591e+16\n", - "no negative: averaged time 2024-07-19 11:24:03.454704+00:00, HCHO col 1.9445e+16, unc 1.3073e+16\n", - "no Small: averaged time 2024-07-19 11:24:04.229228+00:00, HCHO col 2.1896e+16, unc 1.2854e+16\n", - "178447779_TEMPO_HCHO_L2_V04_20240719T132246Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.038673 -76.281113 7.6629e+15 1.2816e+16 0\n", - " 9 847 37.019341 -76.285522 1.3232e+16 8.9766e+15 0\n", - " 10 846 37.036770 -76.337502 1.4055e+16 5.8003e+15 0\n", - " 10 847 37.017441 -76.341881 6.7396e+15 7.2495e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 13:24:17.475902+00:00, HCHO col 8.2999e+15, unc 7.1900e+15\n", - "no negative: averaged time 2024-07-19 13:24:17.475902+00:00, HCHO col 8.2999e+15, unc 7.1900e+15\n", - "no Small: averaged time 2024-07-19 13:24:16.210632+00:00, HCHO col 1.3643e+16, unc 7.3885e+15\n", - "178447778_TEMPO_HCHO_L2_V04_20240719T124241Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026779 -76.309395 4.7640e+15 4.1477e+16 0\n", - " 10 847 37.007450 -76.313789 2.5197e+15 3.9938e+16 0\n", - " 11 846 37.025078 -76.365501 1.0736e+16 7.6466e+15 0\n", - " 11 847 37.005745 -76.369881 2.2375e+16 5.2805e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 12:44:11.088534+00:00, HCHO col 6.8608e+15, unc 2.5400e+16\n", - "no negative: averaged time 2024-07-19 12:44:11.088534+00:00, HCHO col 6.8608e+15, unc 2.5400e+16\n", - "no Small: averaged time 2024-07-19 12:44:12.720890+00:00, HCHO col 1.6555e+16, unc 6.4635e+15\n", - "178447780_TEMPO_HCHO_L2_V04_20240719T140254Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.033272 -76.294357 1.5901e+16 6.3857e+15 0\n", - " 10 847 37.013939 -76.298752 1.7357e+16 5.9356e+15 0\n", - " 11 846 37.031109 -76.352081 9.3865e+15 6.9433e+15 0\n", - " 11 847 37.011780 -76.356461 6.1198e+15 3.8302e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 14:04:21.760179+00:00, HCHO col 1.0967e+16, unc 5.7532e+15\n", - "no negative: averaged time 2024-07-19 14:04:21.760179+00:00, HCHO col 1.0967e+16, unc 5.7532e+15\n", - "no Small: averaged time 2024-07-19 14:04:21.760179+00:00, HCHO col 1.0967e+16, unc 5.7532e+15\n", - "178447781_TEMPO_HCHO_L2_V04_20240719T150254Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.023582 -76.282463 3.0248e+15 1.3310e+16 0\n", - " 9 847 37.004261 -76.286865 1.6656e+16 1.1712e+16 0\n", - " 10 846 37.021648 -76.339134 2.0007e+16 4.9362e+15 0\n", - " 10 847 37.002331 -76.343506 1.2445e+16 1.5397e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 15:04:22.572611+00:00, HCHO col 1.9654e+16, unc 5.5331e+15\n", - "no negative: averaged time 2024-07-19 15:04:22.572611+00:00, HCHO col 1.9654e+16, unc 5.5331e+15\n", - "no Small: averaged time 2024-07-19 15:04:21.209303+00:00, HCHO col 1.8332e+16, unc 8.3243e+15\n", - "178447782_TEMPO_HCHO_L2_V04_20240719T160254Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022369 -76.328712 1.0029e+16 1.2410e+16 0\n", - " 10 847 37.003075 -76.333076 1.1435e+16 3.9026e+15 0\n", - " 11 846 37.020676 -76.386391 1.0811e+16 1.5990e+16 0\n", - " 11 847 37.001358 -76.390762 1.2762e+16 5.5460e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 16:04:23.114569+00:00, HCHO col 1.0265e+16, unc 1.2058e+16\n", - "no negative: averaged time 2024-07-19 16:04:23.114569+00:00, HCHO col 1.0265e+16, unc 1.2058e+16\n", - "no Small: averaged time 2024-07-19 16:04:24.238335+00:00, HCHO col 1.2099e+16, unc 4.7243e+15\n", - "178447783_TEMPO_HCHO_L2_V04_20240719T170254Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.023808 -76.335358 1.6718e+16 6.9902e+15 0\n", - " 10 847 37.004501 -76.339729 2.0406e+16 1.0413e+16 0\n", - " 11 846 37.021828 -76.392151 4.3894e+15 1.0339e+16 0\n", - " 11 847 37.002510 -76.396507 1.5373e+16 1.3285e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 17:04:22.751278+00:00, HCHO col 1.7287e+16, unc 7.6358e+15\n", - "no negative: averaged time 2024-07-19 17:04:22.751278+00:00, HCHO col 1.7287e+16, unc 7.6358e+15\n", - "no Small: averaged time 2024-07-19 17:04:22.751286+00:00, HCHO col 1.7345e+16, unc 7.6320e+15\n", - "178447785_TEMPO_HCHO_L2_V04_20240719T190254Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032902 -76.313164 9.7451e+15 3.8098e+15 0\n", - " 10 846 37.013580 -76.317551 6.9330e+15 3.8551e+15 0\n", - " 11 845 37.031494 -76.370148 1.0757e+16 4.1320e+15 0\n", - " 11 846 37.012177 -76.374527 9.7591e+15 4.9080e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 19:04:23.816648+00:00, HCHO col 8.3526e+15, unc 3.9552e+15\n", - "no negative: averaged time 2024-07-19 19:04:23.816648+00:00, HCHO col 8.3526e+15, unc 3.9552e+15\n", - "no Small: averaged time 2024-07-19 19:04:23.816648+00:00, HCHO col 8.3526e+15, unc 3.9552e+15\n", - "178447784_TEMPO_HCHO_L2_V04_20240719T180254Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.025360 -76.317131 3.7171e+15 7.3313e+15 0\n", - " 10 847 37.006058 -76.321503 7.4634e+15 4.0060e+15 0\n", - " 11 846 37.023739 -76.374161 6.6789e+15 7.3408e+15 0\n", - " 11 847 37.004425 -76.378525 6.9395e+15 3.8627e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 18:04:23.697403+00:00, HCHO col 5.5552e+15, unc 6.5529e+15\n", - "no negative: averaged time 2024-07-19 18:04:23.697403+00:00, HCHO col 5.5552e+15, unc 6.5529e+15\n", - "no Small: averaged time 2024-07-19 18:04:24.233138+00:00, HCHO col 7.2015e+15, unc 3.9344e+15\n", - "178447786_TEMPO_HCHO_L2_V04_20240719T200254Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036510 -76.300194 9.0464e+15 8.6285e+15 0\n", - " 10 846 37.017200 -76.304581 5.3141e+15 6.0822e+15 0\n", - " 11 845 37.034664 -76.357338 9.0780e+15 8.8106e+15 0\n", - " 11 846 37.015354 -76.361710 1.7800e+16 7.1353e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 20:04:24.463522+00:00, HCHO col 1.0637e+16, unc 7.0511e+15\n", - "no negative: averaged time 2024-07-19 20:04:24.463522+00:00, HCHO col 1.0637e+16, unc 7.0511e+15\n", - "no Small: averaged time 2024-07-19 20:04:24.735550+00:00, HCHO col 1.1975e+16, unc 8.1915e+15\n", - "178447787_TEMPO_HCHO_L2_V04_20240719T210254Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024643 -76.321381 1.0875e+16 3.7933e+15 0\n", - " 10 847 37.005344 -76.325752 5.8010e+15 3.9232e+15 0\n", - " 11 846 37.022774 -76.378311 1.7992e+16 3.8473e+15 0\n", - " 11 847 37.003468 -76.382668 8.1033e+15 4.3135e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 21:04:26.512884+00:00, HCHO col 1.1650e+16, unc 3.8330e+15\n", - "no negative: averaged time 2024-07-19 21:04:26.512884+00:00, HCHO col 1.1650e+16, unc 3.8330e+15\n", - "no Small: averaged time 2024-07-19 21:04:26.512884+00:00, HCHO col 1.1650e+16, unc 3.8330e+15\n", - "178447788_TEMPO_HCHO_L2_V04_20240719T220254Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034901 -76.332283 9.8103e+15 4.4831e+15 0\n", - " 10 846 37.015598 -76.336655 3.5706e+15 4.4382e+15 0\n", - " 11 845 37.033741 -76.389526 7.9557e+15 4.1168e+15 0\n", - " 11 846 37.014442 -76.393875 1.2306e+16 4.6546e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-19 22:04:25.799799+00:00, HCHO col 5.0642e+15, unc 4.4427e+15\n", - "no negative: averaged time 2024-07-19 22:04:25.799799+00:00, HCHO col 5.0642e+15, unc 4.4427e+15\n", - "no Small: averaged time 2024-07-19 22:04:27.768149+00:00, HCHO col 1.0024e+16, unc 4.4182e+15\n", - "jobID = d3edf8b1-a87e-4947-aa90-894674318333\n" + "222141099_TEMPO_HCHO_L2_V04_20240720T142941Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.043556 -105.215668 6.1139e+15 6.1979e+15 0\n", + " 9 692 40.023113 -105.210693 1.4837e+15 5.1578e+15 0\n", + " 10 691 40.044376 -105.275238 1.3351e+16 7.1692e+15 0\n", + " 10 692 40.024090 -105.270317 1.2060e+15 6.0374e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 14:30:37.108251+00:00, HCHO col 5.6472e+15, unc 6.2934e+15\n", + "no negative: averaged time 2024-07-20 14:30:37.108251+00:00, HCHO col 5.6472e+15, unc 6.2934e+15\n", + "no Small: averaged time 2024-07-20 14:30:38.721050+00:00, HCHO col 1.3351e+16, unc 7.1692e+15\n", + "222141100_TEMPO_HCHO_L2_V04_20240720T152926Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.044731 -105.206512 1.1901e+16 1.6525e+16 0\n", + " 9 692 40.024139 -105.201462 1.7785e+16 1.3030e+16 0\n", + " 10 691 40.045368 -105.265526 7.1682e+15 5.5330e+15 0\n", + " 10 692 40.025070 -105.260597 -5.0385e+14 5.8678e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 15:30:38.604038+00:00, HCHO col 6.0208e+15, unc 9.6956e+15\n", + "no negative: averaged time 2024-07-20 15:30:37.695858+00:00, HCHO col 1.2285e+16, unc 1.1696e+16\n", + "no Small: averaged time 2024-07-20 15:30:38.201370+00:00, HCHO col 1.2477e+16, unc 9.2814e+15\n", + "222141102_TEMPO_HCHO_L2_V04_20240720T192941Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.055435 -105.201050 5.6220e+15 5.1448e+15 0\n", + " 9 692 40.034958 -105.196060 5.2697e+15 5.7573e+15 0\n", + " 10 691 40.055965 -105.260231 5.5162e+15 5.4089e+15 0\n", + " 10 692 40.035698 -105.255318 9.6472e+15 5.5534e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 19:30:41.035457+00:00, HCHO col 8.6619e+15, unc 5.5418e+15\n", + "no negative: averaged time 2024-07-20 19:30:41.035457+00:00, HCHO col 8.6619e+15, unc 5.5418e+15\n", + "no Small: averaged time 2024-07-20 19:30:40.730718+00:00, HCHO col 6.9285e+15, unc 5.3690e+15\n", + "222141101_TEMPO_HCHO_L2_V04_20240720T182941Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.037960 -105.198013 5.8539e+15 5.6810e+15 0\n", + " 9 694 40.017124 -105.192841 4.6919e+14 5.3866e+15 0\n", + " 10 693 40.039299 -105.258247 2.2588e+16 4.9509e+15 0\n", + " 10 694 40.018940 -105.253296 7.1085e+14 5.3905e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 18:30:40.943467+00:00, HCHO col 1.6618e+16, unc 5.1748e+15\n", + "no negative: averaged time 2024-07-20 18:30:40.943467+00:00, HCHO col 1.6618e+16, unc 5.1748e+15\n", + "no Small: averaged time 2024-07-20 18:30:40.227360+00:00, HCHO col 1.4221e+16, unc 5.3160e+15\n", + "222141104_TEMPO_HCHO_L2_V04_20240720T212941Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.055477 -105.220718 5.9169e+15 5.1091e+15 0\n", + " 10 693 40.035007 -105.215721 1.9718e+15 9.8062e+15 0\n", + " 11 692 40.056530 -105.280273 1.1505e+16 1.5246e+16 0\n", + " 11 693 40.036396 -105.275429 1.4866e+16 3.2604e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 21:30:43.053306+00:00, HCHO col 7.9116e+15, unc 1.9230e+16\n", + "no negative: averaged time 2024-07-20 21:30:43.053306+00:00, HCHO col 7.9116e+15, unc 1.9230e+16\n", + "no Small: averaged time 2024-07-20 21:30:41.741840+00:00, HCHO col 5.9169e+15, unc 5.1091e+15\n", + "222141103_TEMPO_HCHO_L2_V04_20240720T202941Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.043694 -105.228851 8.6721e+15 4.3074e+15 0\n", + " 10 693 40.023289 -105.223885 5.6923e+15 5.8875e+15 0\n", + " 11 692 40.044022 -105.287247 3.7529e+15 8.6920e+15 0\n", + " 11 693 40.024040 -105.282471 2.1703e+16 2.0261e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 20:30:42.501318+00:00, HCHO col 1.1758e+16, unc 8.4086e+15\n", + "no negative: averaged time 2024-07-20 20:30:42.501318+00:00, HCHO col 1.1758e+16, unc 8.4086e+15\n", + "no Small: averaged time 2024-07-20 20:30:43.256703+00:00, HCHO col 1.5188e+16, unc 1.2284e+16\n", + "222141105_TEMPO_HCHO_L2_V04_20240720T222941Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.051159 -105.226204 4.6489e+15 2.1227e+16 0\n", + " 10 693 40.030678 -105.221207 -1.4007e+16 2.1421e+16 0\n", + " 11 692 40.051823 -105.285606 -7.6008e+15 3.5154e+16 0\n", + " 11 693 40.031708 -105.280762 -6.2939e+15 1.8945e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 22:30:42.716909+00:00, HCHO col -5.6074e+15, unc 2.0561e+16\n", + "no negative: averaged time 2024-07-20 22:30:41.738574+00:00, HCHO col 4.6489e+15, unc 2.1227e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141106_TEMPO_HCHO_L2_V04_20240720T230946Z_S014G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.055225 -105.239822 1.2877e+16 4.6599e+15 0\n", + " 10 693 40.034767 -105.234825 8.4118e+15 6.1995e+15 0\n", + " 11 692 40.053673 -105.297363 4.4195e+15 1.2966e+16 0\n", + " 11 693 40.034695 -105.293106 1.6090e+16 2.6983e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 23:10:50.081738+00:00, HCHO col 9.8671e+15, unc 8.3131e+15\n", + "no negative: averaged time 2024-07-20 23:10:50.081738+00:00, HCHO col 9.8671e+15, unc 8.3131e+15\n", + "no Small: averaged time 2024-07-20 23:10:49.743185+00:00, HCHO col 1.0644e+16, unc 5.4297e+15\n", + "222141107_TEMPO_HCHO_L2_V04_20240720T234951Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.045200 -105.197754 1.7456e+16 5.5770e+15 0\n", + " 9 693 40.024506 -105.192650 1.0809e+16 6.4806e+15 0\n", + " 10 692 40.045807 -105.256989 -2.0994e+14 1.1117e+16 0\n", + " 10 693 40.025490 -105.252060 1.0795e+16 1.1031e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-20 23:50:54.081426+00:00, HCHO col 8.0960e+15, unc 9.8660e+15\n", + "no negative: averaged time 2024-07-20 23:50:52.725327+00:00, HCHO col 1.3020e+16, unc 7.6963e+15\n", + "no Small: averaged time 2024-07-20 23:50:51.714303+00:00, HCHO col 1.4132e+16, unc 6.0288e+15\n", + "jobID = 22847ecd-1206-418d-8dc8-fa88374b07f2\n" ] }, { @@ -3314,128 +3616,140 @@ "name": "stdout", "output_type": "stream", "text": [ + "./222141248_TEMPO_HCHO_L2_V04_20240721T002956Z_S016G04_subsetted.nc\n", + "./222141249_TEMPO_HCHO_L2_V04_20240721T011001Z_S017G04_subsetted.nc\n", + "./222141250_TEMPO_HCHO_L2_V04_20240721T142958Z_S006G07_subsetted.nc\n", + "./222141251_TEMPO_HCHO_L2_V04_20240721T152958Z_S007G07_subsetted.nc\n", + "./222141252_TEMPO_HCHO_L2_V04_20240721T162958Z_S008G07_subsetted.nc\n", + "./222141253_TEMPO_HCHO_L2_V04_20240721T182958Z_S010G07_subsetted.nc\n", + "./222141254_TEMPO_HCHO_L2_V04_20240721T192958Z_S011G07_subsetted.nc\n", + "./222141255_TEMPO_HCHO_L2_V04_20240721T202958Z_S012G07_subsetted.nc\n", + "./222141256_TEMPO_HCHO_L2_V04_20240721T212958Z_S013G07_subsetted.nc\n", + "./222141258_TEMPO_HCHO_L2_V04_20240721T231003Z_S015G04_subsetted.nc\n", + "./222141257_TEMPO_HCHO_L2_V04_20240721T222958Z_S014G07_subsetted.nc\n", + "./222141259_TEMPO_HCHO_L2_V04_20240721T235008Z_S016G04_subsetted.nc\n", "Number of result files: 12\n", - "178447793_TEMPO_HCHO_L2_V04_20240720T104243Z_S001G03_subsetted.nc\n", + "222141248_TEMPO_HCHO_L2_V04_20240721T002956Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 693 40.038540 -105.230896 -6.0386e+14 7.3617e+15 0\n", + " 10 694 40.018124 -105.225922 2.5763e+15 6.3567e+15 0\n", + " 11 693 40.039089 -105.290367 9.0057e+15 9.9912e+15 0\n", + " 11 694 40.019257 -105.285675 2.6313e+14 8.3676e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 00:31:00.330909+00:00, HCHO col 7.2942e+14, unc 7.7709e+15\n", + "no negative: averaged time 2024-07-21 00:31:01.772708+00:00, HCHO col 3.9484e+15, unc 8.2385e+15\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141249_TEMPO_HCHO_L2_V04_20240721T011001Z_S017G04_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.028461 -76.312393 1.2425e+16 7.7285e+15 1\n", - " 10 846 37.009117 -76.316780 8.7781e+15 1.0263e+16 1\n", - " 11 845 37.027061 -76.370369 -3.4374e+14 7.6588e+15 1\n", - " 11 846 37.007717 -76.374748 1.6780e+16 6.8067e+15 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 9 692 40.038490 -105.200615 7.7843e+15 2.4642e+16 1\n", + " 9 693 40.017708 -105.195465 5.8996e+15 2.9969e+16 1\n", + " 10 692 40.040401 -105.260612 2.9761e+16 7.1769e+16 1\n", + " 10 693 40.020039 -105.255653 1.7856e+16 4.8064e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447794_TEMPO_HCHO_L2_V04_20240720T112248Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.035942 -76.283455 7.9077e+15 4.5664e+15 0\n", - " 9 846 37.016605 -76.287857 9.2908e+15 5.5634e+15 0\n", - " 10 845 37.034286 -76.344475 1.1660e+16 7.7012e+15 0\n", - " 10 846 37.014946 -76.348854 3.4636e+15 8.6313e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 11:24:19.158694+00:00, HCHO col 6.6659e+15, unc 7.8296e+15\n", - "no negative: averaged time 2024-07-20 11:24:19.158694+00:00, HCHO col 6.6659e+15, unc 7.8296e+15\n", - "no Small: averaged time 2024-07-20 11:24:17.689103+00:00, HCHO col 9.6195e+15, unc 5.9437e+15\n", - "178447797_TEMPO_HCHO_L2_V04_20240720T132303Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.034000 -76.295570 1.0722e+16 5.9503e+15 0\n", - " 10 847 37.014660 -76.299965 1.0972e+16 6.6772e+15 0\n", - " 11 846 37.032246 -76.352875 1.1371e+16 8.6922e+15 0\n", - " 11 847 37.012913 -76.357254 1.3856e+16 4.3831e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 13:24:33.708217+00:00, HCHO col 1.2019e+16, unc 6.6651e+15\n", - "no negative: averaged time 2024-07-20 13:24:33.708217+00:00, HCHO col 1.2019e+16, unc 6.6651e+15\n", - "no Small: averaged time 2024-07-20 13:24:33.708217+00:00, HCHO col 1.2019e+16, unc 6.6651e+15\n", - "178447795_TEMPO_HCHO_L2_V04_20240720T120253Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035091 -76.328629 2.6026e+15 7.1302e+15 0\n", - " 10 846 37.015751 -76.333015 7.4664e+15 4.2393e+15 0\n", - " 11 845 37.033451 -76.386307 2.2198e+14 1.3383e+16 0\n", - " 11 846 37.014118 -76.390678 6.4107e+15 7.7607e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 12:04:24.958213+00:00, HCHO col 6.0974e+15, unc 5.4427e+15\n", - "no negative: averaged time 2024-07-20 12:04:24.958213+00:00, HCHO col 6.0974e+15, unc 5.4427e+15\n", - "no Small: averaged time 2024-07-20 12:04:24.713880+00:00, HCHO col 7.4664e+15, unc 4.2393e+15\n", - "178447798_TEMPO_HCHO_L2_V04_20240720T140311Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021595 -76.306030 1.2341e+16 4.5169e+15 0\n", - " 10 847 37.002258 -76.310432 1.0041e+16 7.8517e+15 0\n", - " 11 846 37.019768 -76.364281 9.4621e+15 5.4296e+15 0\n", - " 11 847 37.000435 -76.368652 8.6217e+15 3.9325e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 14:04:38.277845+00:00, HCHO col 1.0793e+16, unc 5.0530e+15\n", - "no negative: averaged time 2024-07-20 14:04:38.277845+00:00, HCHO col 1.0793e+16, unc 5.0530e+15\n", - "no Small: averaged time 2024-07-20 14:04:38.277845+00:00, HCHO col 1.0793e+16, unc 5.0530e+15\n", - "178447796_TEMPO_HCHO_L2_V04_20240720T124258Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.034245 -76.277763 9.3627e+15 6.3738e+15 0\n", - " 9 847 37.014908 -76.282166 1.2004e+16 3.4715e+15 0\n", - " 10 846 37.032505 -76.335579 1.4544e+16 8.6142e+15 0\n", - " 10 847 37.013176 -76.339958 1.0516e+16 7.4295e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 12:44:29.624779+00:00, HCHO col 1.2034e+16, unc 7.7427e+15\n", - "no negative: averaged time 2024-07-20 12:44:29.624779+00:00, HCHO col 1.2034e+16, unc 7.7427e+15\n", - "no Small: averaged time 2024-07-20 12:44:29.624779+00:00, HCHO col 1.2034e+16, unc 7.7427e+15\n", - "178447799_TEMPO_HCHO_L2_V04_20240720T150306Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022491 -76.297562 1.1528e+16 4.3170e+15 0\n", - " 10 847 37.003166 -76.301956 9.8779e+15 4.7936e+15 0\n", - " 11 846 37.020885 -76.354263 1.0860e+16 3.8609e+15 0\n", - " 11 847 37.001564 -76.358635 7.8391e+15 1.1392e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 15:04:39.761442+00:00, HCHO col 1.0978e+16, unc 4.0319e+15\n", - "no negative: averaged time 2024-07-20 15:04:39.761442+00:00, HCHO col 1.0978e+16, unc 4.0319e+15\n", - "no Small: averaged time 2024-07-20 15:04:39.761442+00:00, HCHO col 1.0978e+16, unc 4.0319e+15\n", - "178447801_TEMPO_HCHO_L2_V04_20240720T190311Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031868 -76.305679 2.4249e+16 1.6323e+16 0\n", - " 10 846 37.012547 -76.310066 1.2025e+16 8.8929e+15 0\n", - " 11 845 37.030529 -76.362480 2.6248e+16 1.9584e+16 0\n", - " 11 846 37.011204 -76.366859 2.0544e+16 2.3915e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 19:04:41.229403+00:00, HCHO col 1.8778e+16, unc 1.4528e+16\n", - "no negative: averaged time 2024-07-20 19:04:41.229403+00:00, HCHO col 1.8778e+16, unc 1.4528e+16\n", - "no Small: averaged time 2024-07-20 19:04:40.721404+00:00, HCHO col 2.0841e+16, unc 1.4933e+16\n", - "178447800_TEMPO_HCHO_L2_V04_20240720T180311Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022934 -76.309700 1.7264e+16 1.5890e+16 0\n", - " 10 847 37.003624 -76.314087 1.0947e+16 1.2902e+16 0\n", - " 11 846 37.020844 -76.366928 1.3351e+16 6.0750e+15 0\n", - " 11 847 37.001530 -76.371292 1.3430e+16 3.9001e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 18:04:41.118258+00:00, HCHO col 1.4906e+16, unc 1.1084e+16\n", - "no negative: averaged time 2024-07-20 18:04:41.118258+00:00, HCHO col 1.4906e+16, unc 1.1084e+16\n", - "no Small: averaged time 2024-07-20 18:04:41.118368+00:00, HCHO col 1.5457e+16, unc 1.1154e+16\n", - "178447804_TEMPO_HCHO_L2_V04_20240720T220311Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.029957 -76.330750 1.2555e+16 3.7258e+15 0\n", - " 10 846 37.010647 -76.335121 1.2994e+16 5.6035e+15 0\n", - " 11 845 37.028160 -76.387184 1.2368e+16 7.0584e+15 0\n", - " 11 846 37.008854 -76.391533 1.6641e+16 5.7935e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 22:04:42.939660+00:00, HCHO col 1.2760e+16, unc 4.8713e+15\n", - "no negative: averaged time 2024-07-20 22:04:42.939660+00:00, HCHO col 1.2760e+16, unc 4.8713e+15\n", - "no Small: averaged time 2024-07-20 22:04:42.939660+00:00, HCHO col 1.2760e+16, unc 4.8713e+15\n", - "178447802_TEMPO_HCHO_L2_V04_20240720T200311Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.028580 -76.301369 1.0034e+16 1.2416e+16 0\n", - " 10 846 37.009254 -76.305763 5.8681e+15 1.1060e+16 0\n", - " 11 845 37.026779 -76.358543 2.5195e+16 1.1083e+16 0\n", - " 11 846 37.007462 -76.362915 5.3658e+15 7.9220e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 20:04:41.490799+00:00, HCHO col 1.7384e+16, unc 1.1126e+16\n", - "no negative: averaged time 2024-07-20 20:04:41.490799+00:00, HCHO col 1.7384e+16, unc 1.1126e+16\n", - "no Small: averaged time 2024-07-20 20:04:42.741999+00:00, HCHO col 2.5195e+16, unc 1.1083e+16\n", - "178447803_TEMPO_HCHO_L2_V04_20240720T210311Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026211 -76.333191 6.2004e+16 7.4947e+16 0\n", - " 10 847 37.006908 -76.337563 3.4300e+16 6.7292e+16 0\n", - " 11 846 37.024269 -76.390472 2.2174e+16 1.4788e+16 0\n", - " 11 847 37.004963 -76.394829 2.2150e+16 1.1040e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-20 21:04:42.854593+00:00, HCHO col 5.2171e+16, unc 7.0440e+16\n", - "no negative: averaged time 2024-07-20 21:04:42.854593+00:00, HCHO col 5.2171e+16, unc 7.0440e+16\n", - "no Small: averaged time 2024-07-20 21:04:45.777193+00:00, HCHO col 2.2162e+16, unc 1.2914e+16\n", - "jobID = 8d117850-660c-4fed-82cf-b8dc44b0c520\n" + "222141250_TEMPO_HCHO_L2_V04_20240721T142958Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.042542 -105.222160 8.6900e+15 1.3383e+16 0\n", + " 10 693 40.022163 -105.217216 1.1576e+16 2.7045e+16 0\n", + " 11 692 40.043304 -105.281799 7.9802e+15 1.3556e+16 0\n", + " 11 693 40.023224 -105.276993 9.9573e+15 5.3052e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 14:30:53.755367+00:00, HCHO col 8.9617e+15, unc 1.1262e+16\n", + "no negative: averaged time 2024-07-21 14:30:53.755367+00:00, HCHO col 8.9617e+15, unc 1.1262e+16\n", + "no Small: averaged time 2024-07-21 14:30:55.714787+00:00, HCHO col 9.9573e+15, unc 5.3052e+15\n", + "222141251_TEMPO_HCHO_L2_V04_20240721T152958Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.039177 -105.230896 1.2520e+15 7.6223e+15 0\n", + " 10 692 40.018776 -105.225945 1.1079e+15 4.5352e+15 0\n", + " 11 691 40.039509 -105.289803 6.9491e+15 5.2692e+15 0\n", + " 11 692 40.019657 -105.285110 1.2365e+16 4.6526e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 15:30:53.255395+00:00, HCHO col 2.8410e+15, unc 7.1081e+15\n", + "no negative: averaged time 2024-07-21 15:30:53.255395+00:00, HCHO col 2.8410e+15, unc 7.1081e+15\n", + "no Small: averaged time 2024-07-21 15:30:55.695518+00:00, HCHO col 9.6571e+15, unc 4.9609e+15\n", + "222141252_TEMPO_HCHO_L2_V04_20240721T162958Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.053497 -105.190346 7.4981e+15 1.6452e+16 0\n", + " 9 692 40.032883 -105.185287 6.2056e+15 1.9429e+16 0\n", + " 10 691 40.054394 -105.250092 8.5168e+15 1.9929e+16 0\n", + " 10 692 40.034023 -105.245140 1.1209e+16 2.4820e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 16:30:55.510716+00:00, HCHO col 1.0673e+16, unc 2.3738e+16\n", + "no negative: averaged time 2024-07-21 16:30:55.510716+00:00, HCHO col 1.0673e+16, unc 2.3738e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141253_TEMPO_HCHO_L2_V04_20240721T182958Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.055664 -105.213249 -1.9453e+16 7.3623e+16 0\n", + " 9 692 40.035217 -105.208267 -8.0924e+15 7.2905e+16 0\n", + " 10 691 40.056652 -105.271759 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 692 40.036480 -105.266891 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 18:30:55.725947+00:00, HCHO col -1.3773e+16, unc 7.3264e+16\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141254_TEMPO_HCHO_L2_V04_20240721T192958Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.039696 -105.203362 -1.0000e+30 -1.0000e+30 -9999\n", + " 9 693 40.018970 -105.198242 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 692 40.041122 -105.262726 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 693 40.020771 -105.257767 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141255_TEMPO_HCHO_L2_V04_20240721T202958Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.042397 -105.200951 1.1598e+16 1.3101e+16 0\n", + " 9 693 40.021687 -105.195831 -9.6492e+14 3.0322e+16 0\n", + " 10 692 40.043789 -105.260826 -1.9318e+15 6.2993e+16 0\n", + " 10 693 40.023479 -105.255898 7.9845e+14 2.4103e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 20:30:57.855255+00:00, HCHO col 2.7905e+15, unc 3.7228e+16\n", + "no negative: averaged time 2024-07-21 20:30:57.220045+00:00, HCHO col 6.1980e+15, unc 1.8602e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141256_TEMPO_HCHO_L2_V04_20240721T212958Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.056160 -105.227318 1.2610e+16 6.9731e+15 0\n", + " 10 693 40.035591 -105.222260 1.8308e+16 3.1466e+16 0\n", + " 11 692 40.056908 -105.286301 1.3716e+16 9.6405e+15 0\n", + " 11 693 40.036743 -105.281441 1.1489e+16 2.6514e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 21:30:59.745294+00:00, HCHO col 1.5653e+16, unc 2.8022e+16\n", + "no negative: averaged time 2024-07-21 21:30:59.745294+00:00, HCHO col 1.5653e+16, unc 2.8022e+16\n", + "no Small: averaged time 2024-07-21 21:31:00.269430+00:00, HCHO col 1.3163e+16, unc 8.3068e+15\n", + "222141258_TEMPO_HCHO_L2_V04_20240721T231003Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.041622 -105.193130 6.6627e+15 5.3357e+15 0\n", + " 9 694 40.020821 -105.187973 1.7199e+16 4.8657e+15 0\n", + " 10 693 40.042953 -105.252983 1.0691e+16 4.8657e+15 0\n", + " 10 694 40.022614 -105.248032 6.3364e+15 5.7557e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 23:11:06.263541+00:00, HCHO col 8.9165e+15, unc 5.1711e+15\n", + "no negative: averaged time 2024-07-21 23:11:06.263541+00:00, HCHO col 8.9165e+15, unc 5.1711e+15\n", + "no Small: averaged time 2024-07-21 23:11:06.263541+00:00, HCHO col 8.9165e+15, unc 5.1711e+15\n", + "222141257_TEMPO_HCHO_L2_V04_20240721T222958Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.037529 -105.184738 1.2575e+16 7.4216e+15 0\n", + " 9 694 40.016575 -105.179504 4.8469e+15 5.8860e+15 0\n", + " 10 693 40.039188 -105.244179 8.4804e+15 6.1088e+15 0\n", + " 10 694 40.018837 -105.239235 5.9120e+15 6.5357e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 22:30:58.659732+00:00, HCHO col 8.3963e+15, unc 6.1825e+15\n", + "no negative: averaged time 2024-07-21 22:30:58.659732+00:00, HCHO col 8.3963e+15, unc 6.1825e+15\n", + "no Small: averaged time 2024-07-21 22:30:57.234057+00:00, HCHO col 1.0528e+16, unc 6.7652e+15\n", + "222141259_TEMPO_HCHO_L2_V04_20240721T235008Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.041664 -105.202942 1.1062e+16 4.6215e+15 0\n", + " 9 693 40.020950 -105.197823 1.7855e+16 4.7635e+15 0\n", + " 10 692 40.042976 -105.263474 8.4910e+15 5.4150e+15 0\n", + " 10 693 40.022644 -105.258537 1.1957e+16 6.7655e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-21 23:51:10.725798+00:00, HCHO col 1.0210e+16, unc 5.4841e+15\n", + "no negative: averaged time 2024-07-21 23:51:10.725798+00:00, HCHO col 1.0210e+16, unc 5.4841e+15\n", + "no Small: averaged time 2024-07-21 23:51:10.725798+00:00, HCHO col 1.0210e+16, unc 5.4841e+15\n", + "jobID = fa0f2f25-c4f9-416a-b642-7524c83d59b4\n" ] }, { @@ -3449,138 +3763,140 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 13\n", - "178447827_TEMPO_HCHO_L2_V04_20240721T104300Z_S001G03_subsetted.nc\n", + "./222141502_TEMPO_HCHO_L2_V04_20240722T011018Z_S018G04_subsetted.nc\n", + "./222141501_TEMPO_HCHO_L2_V04_20240722T003013Z_S017G04_subsetted.nc\n", + "./222141504_TEMPO_HCHO_L2_V04_20240722T153016Z_S007G07_subsetted.nc\n", + "./222141503_TEMPO_HCHO_L2_V04_20240722T143016Z_S006G07_subsetted.nc\n", + "./222141505_TEMPO_HCHO_L2_V04_20240722T163016Z_S008G07_subsetted.nc\n", + "./222141506_TEMPO_HCHO_L2_V04_20240722T173016Z_S009G07_subsetted.nc\n", + "./222141507_TEMPO_HCHO_L2_V04_20240722T183016Z_S010G07_subsetted.nc\n", + "./222141508_TEMPO_HCHO_L2_V04_20240722T193016Z_S011G07_subsetted.nc\n", + "./222141509_TEMPO_HCHO_L2_V04_20240722T203016Z_S012G07_subsetted.nc\n", + "./222141510_TEMPO_HCHO_L2_V04_20240722T213016Z_S013G07_subsetted.nc\n", + "./222141511_TEMPO_HCHO_L2_V04_20240722T223016Z_S014G07_subsetted.nc\n", + "./222141512_TEMPO_HCHO_L2_V04_20240722T230732Z_S015G04_subsetted.nc\n", + "Number of result files: 12\n", + "222141502_TEMPO_HCHO_L2_V04_20240722T011018Z_S018G04_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.029892 -76.312782 3.8352e+15 8.8809e+15 1\n", - " 10 847 37.010563 -76.317169 1.6955e+16 9.4990e+15 1\n", - " 11 846 37.028465 -76.369797 2.5930e+16 9.7347e+15 1\n", - " 11 847 37.009140 -76.374176 2.1622e+16 8.5424e+15 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 9 693 40.038376 -105.198433 2.1721e+16 1.0888e+16 1\n", + " 9 694 40.017548 -105.193260 1.9761e+16 1.3251e+16 1\n", + " 10 693 40.040009 -105.257683 4.5598e+14 2.6738e+16 1\n", + " 10 694 40.019650 -105.252731 9.6327e+15 2.9540e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447829_TEMPO_HCHO_L2_V04_20240721T120310Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.027977 -76.309052 7.9697e+15 9.0613e+15 0\n", - " 10 846 37.008640 -76.313446 2.0385e+15 7.2317e+15 0\n", - " 11 845 37.026077 -76.367691 8.9903e+15 1.0086e+16 0\n", - " 11 846 37.006741 -76.372063 7.5562e+15 8.8421e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 12:04:40.020149+00:00, HCHO col 6.3257e+15, unc 8.8690e+15\n", - "no negative: averaged time 2024-07-21 12:04:40.020149+00:00, HCHO col 6.3257e+15, unc 8.8690e+15\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447828_TEMPO_HCHO_L2_V04_20240721T112305Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.028126 -76.293221 7.1284e+15 1.1609e+16 0\n", - " 10 847 37.008785 -76.297615 2.2118e+16 8.0408e+15 0\n", - " 11 846 37.026073 -76.351212 -1.5907e+15 9.2430e+15 0\n", - " 11 847 37.006733 -76.355583 1.4264e+15 1.8072e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 11:24:35.882248+00:00, HCHO col 5.1257e+15, unc 9.3614e+15\n", - "no negative: averaged time 2024-07-21 11:24:34.699723+00:00, HCHO col 1.0224e+16, unc 1.2574e+16\n", - "no Small: averaged time 2024-07-21 11:24:33.688699+00:00, HCHO col 2.2118e+16, unc 8.0408e+15\n", - "178447830_TEMPO_HCHO_L2_V04_20240721T124315Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022243 -76.328796 1.1560e+16 6.6922e+15 0\n", - " 10 847 37.002937 -76.333176 8.7690e+14 1.2773e+16 0\n", - " 11 846 37.020359 -76.383362 7.3027e+15 9.6069e+15 0\n", - " 11 847 37.001022 -76.387741 1.1234e+16 1.9097e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 12:44:44.091166+00:00, HCHO col 1.0048e+16, unc 7.6200e+15\n", - "no negative: averaged time 2024-07-21 12:44:44.091166+00:00, HCHO col 1.0048e+16, unc 7.6200e+15\n", - "no Small: averaged time 2024-07-21 12:44:43.678670+00:00, HCHO col 1.1560e+16, unc 6.6922e+15\n", - "178447832_TEMPO_HCHO_L2_V04_20240721T140328Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.039532 -76.311279 1.0520e+16 4.3981e+15 0\n", - " 10 846 37.020191 -76.315674 7.5706e+15 4.2518e+15 0\n", - " 11 845 37.038155 -76.368668 1.5480e+15 3.6124e+15 0\n", - " 11 846 37.018814 -76.373055 8.3179e+15 4.1149e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 14:04:54.797419+00:00, HCHO col 7.6299e+15, unc 4.1856e+15\n", - "no negative: averaged time 2024-07-21 14:04:54.797419+00:00, HCHO col 7.6299e+15, unc 4.1856e+15\n", - "no Small: averaged time 2024-07-21 14:04:54.797432+00:00, HCHO col 7.9386e+15, unc 4.2062e+15\n", - "178447831_TEMPO_HCHO_L2_V04_20240721T132320Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026318 -76.294800 5.0649e+15 8.6246e+15 0\n", - " 10 847 37.006992 -76.299202 6.3124e+15 1.8426e+16 0\n", - " 11 846 37.024761 -76.351456 4.4551e+15 2.2509e+16 0\n", - " 11 847 37.005432 -76.355835 4.0193e+14 2.1660e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 13:24:50.858943+00:00, HCHO col 4.9433e+15, unc 2.1080e+16\n", - "no negative: averaged time 2024-07-21 13:24:50.858943+00:00, HCHO col 4.9433e+15, unc 2.1080e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447833_TEMPO_HCHO_L2_V04_20240721T150328Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032009 -76.321938 -4.5526e+14 1.2079e+16 0\n", - " 10 846 37.012672 -76.326332 -1.1555e+15 1.0227e+16 0\n", - " 11 845 37.030941 -76.378571 1.3664e+16 1.4076e+16 0\n", - " 11 846 37.011604 -76.382957 2.4552e+16 2.6182e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 15:04:54.309728+00:00, HCHO col 2.1340e+15, unc 1.1404e+16\n", - "no negative: averaged time 2024-07-21 15:04:56.697280+00:00, HCHO col 1.9108e+16, unc 2.0129e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447834_TEMPO_HCHO_L2_V04_20240721T160328Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.030567 -76.289963 1.6380e+16 1.1225e+16 0\n", - " 10 846 37.011238 -76.294373 2.3868e+16 1.7808e+16 0\n", - " 11 845 37.029068 -76.346939 -2.7905e+15 8.7900e+15 0\n", - " 11 846 37.009747 -76.351318 8.4496e+15 3.1210e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 16:04:56.054741+00:00, HCHO col 5.8564e+15, unc 1.6423e+16\n", - "no negative: averaged time 2024-07-21 16:04:54.693149+00:00, HCHO col 1.6233e+16, unc 2.0081e+16\n", - "no Small: averaged time 2024-07-21 16:04:53.682126+00:00, HCHO col 2.0124e+16, unc 1.4516e+16\n", - "178447836_TEMPO_HCHO_L2_V04_20240721T190328Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032139 -76.330505 1.6889e+15 5.1115e+15 0\n", - " 10 846 37.012829 -76.334877 5.7991e+15 4.4706e+15 0\n", - " 11 845 37.030712 -76.387474 1.3555e+16 7.0198e+15 0\n", - " 11 846 37.011410 -76.391823 1.1496e+16 1.3042e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 19:04:56.905854+00:00, HCHO col 4.9058e+15, unc 4.8365e+15\n", - "no negative: averaged time 2024-07-21 19:04:56.905854+00:00, HCHO col 4.9058e+15, unc 4.8365e+15\n", - "no Small: averaged time 2024-07-21 19:04:58.239567+00:00, HCHO col 9.6769e+15, unc 5.7452e+15\n", - "178447835_TEMPO_HCHO_L2_V04_20240721T180328Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033447 -76.326485 1.0282e+16 5.4081e+15 0\n", - " 10 846 37.014126 -76.330872 5.3403e+15 4.1913e+15 0\n", - " 11 845 37.031479 -76.383957 7.4938e+15 9.7733e+15 0\n", - " 11 846 37.012169 -76.388321 1.1333e+16 4.6419e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 18:04:57.107116+00:00, HCHO col 6.6338e+15, unc 5.1414e+15\n", - "no negative: averaged time 2024-07-21 18:04:57.107116+00:00, HCHO col 6.6338e+15, unc 5.1414e+15\n", - "no Small: averaged time 2024-07-21 18:04:57.107251+00:00, HCHO col 7.7317e+15, unc 4.6519e+15\n", - "178447837_TEMPO_HCHO_L2_V04_20240721T200328Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.030369 -76.283463 9.2281e+15 4.6609e+15 0\n", - " 9 846 37.011051 -76.287857 1.3347e+16 5.4746e+15 0\n", - " 10 845 37.028885 -76.340675 1.4496e+16 4.0057e+15 0\n", - " 10 846 37.009575 -76.345055 1.0161e+16 4.9420e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 20:04:56.384269+00:00, HCHO col 1.2871e+16, unc 4.4860e+15\n", - "no negative: averaged time 2024-07-21 20:04:56.384269+00:00, HCHO col 1.2871e+16, unc 4.4860e+15\n", - "no Small: averaged time 2024-07-21 20:04:56.384269+00:00, HCHO col 1.2871e+16, unc 4.4860e+15\n", - "178447838_TEMPO_HCHO_L2_V04_20240721T210328Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.040039 -76.291641 1.0868e+16 4.7388e+15 0\n", - " 10 846 37.020706 -76.296036 1.6995e+16 4.5186e+15 0\n", - " 11 845 37.038246 -76.348717 1.1716e+16 5.2297e+15 0\n", - " 11 846 37.018929 -76.353096 1.1129e+16 4.5609e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 21:04:58.888842+00:00, HCHO col 1.2831e+16, unc 4.5787e+15\n", - "no negative: averaged time 2024-07-21 21:04:58.888842+00:00, HCHO col 1.2831e+16, unc 4.5787e+15\n", - "no Small: averaged time 2024-07-21 21:04:58.888842+00:00, HCHO col 1.2831e+16, unc 4.5787e+15\n", - "178447839_TEMPO_HCHO_L2_V04_20240721T220328Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.023056 -76.300941 7.1462e+15 4.8999e+15 0\n", - " 10 847 37.003727 -76.305336 1.5991e+15 5.2999e+15 0\n", - " 11 846 37.021606 -76.358696 -1.9724e+15 6.3787e+15 0\n", - " 11 847 37.002300 -76.363068 1.0353e+16 5.1860e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-21 22:04:58.570671+00:00, HCHO col 1.0463e+15, unc 5.8407e+15\n", - "no negative: averaged time 2024-07-21 22:04:57.731380+00:00, HCHO col 6.3662e+15, unc 5.1286e+15\n", - "no Small: averaged time 2024-07-21 22:04:58.236891+00:00, HCHO col 8.7498e+15, unc 5.0429e+15\n", - "jobID = 93fdbf78-5c8e-45e6-8917-0d04ac09e12a\n" + "222141501_TEMPO_HCHO_L2_V04_20240722T003013Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.054119 -105.212013 1.8706e+16 1.7016e+16 0\n", + " 9 693 40.033676 -105.207039 2.3268e+16 1.1981e+16 0\n", + " 10 692 40.055229 -105.271446 -5.0204e+13 6.2428e+15 0\n", + " 10 693 40.035034 -105.266571 -1.3733e+16 7.2963e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 00:31:14.722259+00:00, HCHO col 1.3975e+16, unc 1.1747e+16\n", + "no negative: averaged time 2024-07-22 00:31:13.711244+00:00, HCHO col 2.0987e+16, unc 1.4499e+16\n", + "no Small: averaged time 2024-07-22 00:31:13.711244+00:00, HCHO col 2.0987e+16, unc 1.4499e+16\n", + "222141504_TEMPO_HCHO_L2_V04_20240722T153016Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 690 40.048809 -105.205788 8.8249e+15 3.9625e+15 0\n", + " 9 691 40.028294 -105.200783 -6.8118e+15 5.0674e+15 1\n", + " 10 690 40.050102 -105.266037 6.2259e+15 4.2119e+15 0\n", + " 10 691 40.029839 -105.261131 4.7449e+15 4.1378e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 15:31:09.611402+00:00, HCHO col 6.2480e+15, unc 4.0801e+15\n", + "no negative: averaged time 2024-07-22 15:31:09.611402+00:00, HCHO col 6.2480e+15, unc 4.0801e+15\n", + "no Small: averaged time 2024-07-22 15:31:09.611402+00:00, HCHO col 6.2480e+15, unc 4.0801e+15\n", + "222141503_TEMPO_HCHO_L2_V04_20240722T143016Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.050892 -105.202988 1.8514e+16 5.3155e+15 0\n", + " 9 692 40.030365 -105.197975 2.7371e+15 4.5396e+15 0\n", + " 10 691 40.051945 -105.262543 -1.5889e+14 4.5370e+15 0\n", + " 10 692 40.031681 -105.257652 7.4946e+15 5.3122e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 14:31:09.804573+00:00, HCHO col 1.0553e+16, unc 5.3019e+15\n", + "no negative: averaged time 2024-07-22 14:31:08.654923+00:00, HCHO col 9.5818e+15, unc 5.0558e+15\n", + "no Small: averaged time 2024-07-22 14:31:09.160435+00:00, HCHO col 1.3004e+16, unc 5.3138e+15\n", + "222141505_TEMPO_HCHO_L2_V04_20240722T163016Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.039402 -105.215317 6.3484e+15 4.4342e+15 0\n", + " 9 693 40.018906 -105.210327 1.0458e+16 5.4836e+15 0\n", + " 10 692 40.040096 -105.274803 2.9254e+15 5.0388e+15 0\n", + " 10 693 40.019798 -105.269882 7.3361e+15 5.2880e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 16:31:12.077549+00:00, HCHO col 5.2644e+15, unc 4.7381e+15\n", + "no negative: averaged time 2024-07-22 16:31:12.077549+00:00, HCHO col 5.2644e+15, unc 4.7381e+15\n", + "no Small: averaged time 2024-07-22 16:31:11.700620+00:00, HCHO col 8.0475e+15, unc 5.0686e+15\n", + "222141506_TEMPO_HCHO_L2_V04_20240722T173016Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.038036 -105.187737 1.7116e+16 4.7277e+15 0\n", + " 9 693 40.017097 -105.182518 6.4624e+15 5.1034e+15 0\n", + " 10 692 40.039200 -105.247177 1.2374e+15 4.7852e+15 0\n", + " 10 693 40.018864 -105.242241 1.0165e+16 4.9973e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 17:31:13.472521+00:00, HCHO col 3.2214e+15, unc 4.7973e+15\n", + "no negative: averaged time 2024-07-22 17:31:13.472521+00:00, HCHO col 3.2214e+15, unc 4.7973e+15\n", + "no Small: averaged time 2024-07-22 17:31:11.694756+00:00, HCHO col 1.1248e+16, unc 4.9428e+15\n", + "222141507_TEMPO_HCHO_L2_V04_20240722T183016Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038280 -105.226189 8.0620e+15 4.9162e+15 0\n", + " 10 693 40.017887 -105.221230 1.0483e+16 5.0852e+15 0\n", + " 11 692 40.038811 -105.285049 1.0034e+16 4.3678e+15 0\n", + " 11 693 40.018822 -105.280281 -1.8343e+15 4.5229e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 18:31:14.541148+00:00, HCHO col 8.7089e+15, unc 4.7745e+15\n", + "no negative: averaged time 2024-07-22 18:31:14.541148+00:00, HCHO col 8.7089e+15, unc 4.7745e+15\n", + "no Small: averaged time 2024-07-22 18:31:14.541148+00:00, HCHO col 8.7089e+15, unc 4.7745e+15\n", + "222141508_TEMPO_HCHO_L2_V04_20240722T193016Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.041683 -105.233627 1.0265e+16 4.2114e+15 0\n", + " 10 693 40.021309 -105.228668 7.4848e+15 4.9327e+15 0\n", + " 11 692 40.041927 -105.292274 1.1381e+15 4.4811e+15 0\n", + " 11 693 40.022346 -105.287704 7.2773e+15 4.8766e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 19:31:14.201156+00:00, HCHO col 9.6387e+15, unc 4.3564e+15\n", + "no negative: averaged time 2024-07-22 19:31:14.201156+00:00, HCHO col 9.6387e+15, unc 4.3564e+15\n", + "no Small: averaged time 2024-07-22 19:31:14.201156+00:00, HCHO col 9.6387e+15, unc 4.3564e+15\n", + "222141509_TEMPO_HCHO_L2_V04_20240722T203016Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.056332 -105.239105 5.9831e+15 4.6716e+15 0\n", + " 10 692 40.035847 -105.234093 1.2407e+16 4.3319e+15 0\n", + " 11 691 40.055256 -105.298149 6.1269e+15 6.3256e+15 0\n", + " 11 692 40.036221 -105.293861 2.1716e+15 4.6980e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 20:31:17.128070+00:00, HCHO col 1.0616e+16, unc 4.4046e+15\n", + "no negative: averaged time 2024-07-22 20:31:17.128070+00:00, HCHO col 1.0616e+16, unc 4.4046e+15\n", + "no Small: averaged time 2024-07-22 20:31:16.746747+00:00, HCHO col 9.1951e+15, unc 4.5018e+15\n", + "222141510_TEMPO_HCHO_L2_V04_20240722T213016Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.045185 -105.231667 8.6647e+15 4.5886e+15 0\n", + " 10 693 40.024769 -105.226685 1.7119e+15 4.7162e+15 0\n", + " 11 692 40.045025 -105.290306 2.9171e+15 5.4074e+15 0\n", + " 11 693 40.025394 -105.285713 4.8126e+15 6.5963e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 21:31:17.376814+00:00, HCHO col 6.6464e+15, unc 5.0273e+15\n", + "no negative: averaged time 2024-07-22 21:31:17.376814+00:00, HCHO col 6.6464e+15, unc 5.0273e+15\n", + "no Small: averaged time 2024-07-22 21:31:16.747864+00:00, HCHO col 8.6647e+15, unc 4.5886e+15\n", + "222141511_TEMPO_HCHO_L2_V04_20240722T223016Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.045414 -105.192169 6.6237e+15 4.6203e+15 0\n", + " 9 693 40.024662 -105.187035 5.8375e+15 4.9105e+15 0\n", + " 10 692 40.046204 -105.251381 5.6346e+15 5.2635e+15 0\n", + " 10 693 40.025856 -105.246437 2.6003e+14 4.9932e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 22:31:16.371615+00:00, HCHO col 3.4831e+15, unc 5.0700e+15\n", + "no negative: averaged time 2024-07-22 22:31:16.371615+00:00, HCHO col 3.4831e+15, unc 5.0700e+15\n", + "no Small: averaged time 2024-07-22 22:31:14.722984+00:00, HCHO col 6.0320e+15, unc 4.9314e+15\n", + "222141512_TEMPO_HCHO_L2_V04_20240722T230732Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.048702 -105.186691 2.6881e+15 4.6428e+15 0\n", + " 9 693 40.028019 -105.181587 5.6047e+15 4.8245e+15 0\n", + " 10 692 40.049843 -105.246239 7.0815e+15 4.5231e+15 0\n", + " 10 693 40.029465 -105.241272 9.3946e+15 5.4803e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-22 23:11:25.686622+00:00, HCHO col 8.3886e+15, unc 5.1042e+15\n", + "no negative: averaged time 2024-07-22 23:11:25.686622+00:00, HCHO col 8.3886e+15, unc 5.1042e+15\n", + "no Small: averaged time 2024-07-22 23:11:25.686688+00:00, HCHO col 8.4005e+15, unc 5.0878e+15\n", + "jobID = 556f3921-9100-4651-b298-5c6bfeca377d\n" ] }, { @@ -3594,148 +3910,129 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178447990_TEMPO_HCHO_L2_V04_20240722T112323Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032452 -76.314613 1.3658e+16 2.0502e+16 0\n", - " 10 846 37.013092 -76.319000 2.5594e+16 2.6498e+16 0\n", - " 11 845 37.030544 -76.375481 3.3783e+16 2.0779e+16 0\n", - " 11 846 37.011192 -76.379852 1.2419e+16 1.4813e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 11:24:52.650589+00:00, HCHO col 2.7180e+16, unc 2.4165e+16\n", - "no negative: averaged time 2024-07-22 11:24:52.650589+00:00, HCHO col 2.7180e+16, unc 2.4165e+16\n", - "no Small: averaged time 2024-07-22 11:24:54.718398+00:00, HCHO col 3.3783e+16, unc 2.0779e+16\n", - "178447989_TEMPO_HCHO_L2_V04_20240722T104318Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.029419 -76.289253 4.9001e+16 1.9304e+16 1\n", - " 9 847 37.010082 -76.293655 3.1700e+16 5.0962e+16 1\n", - " 10 846 37.028160 -76.345901 7.1005e+16 2.5611e+16 1\n", - " 10 847 37.008831 -76.350281 4.1079e+16 1.5293e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178447991_TEMPO_HCHO_L2_V04_20240722T120328Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.024185 -76.302094 1.5395e+16 1.7311e+16 0\n", - " 10 846 37.004837 -76.306488 2.1885e+16 9.6797e+15 0\n", - " 11 845 37.022179 -76.359123 1.7503e+16 7.4063e+15 0\n", - " 11 846 37.002846 -76.363495 1.0579e+16 7.0113e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 12:04:55.458411+00:00, HCHO col 1.7551e+16, unc 1.0362e+16\n", - "no negative: averaged time 2024-07-22 12:04:55.458411+00:00, HCHO col 1.7551e+16, unc 1.0362e+16\n", - "no Small: averaged time 2024-07-22 12:04:55.677791+00:00, HCHO col 1.6656e+16, unc 8.0324e+15\n", - "178447992_TEMPO_HCHO_L2_V04_20240722T124333Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.030170 -76.291862 3.0207e+16 1.5178e+16 0\n", - " 10 847 37.010830 -76.296272 1.7952e+16 1.4648e+16 0\n", - " 11 846 37.029297 -76.348648 1.3074e+16 1.1833e+16 0\n", - " 11 847 37.009964 -76.353035 2.1326e+16 9.1619e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 12:45:03.969528+00:00, HCHO col 1.6166e+16, unc 1.1927e+16\n", - "no negative: averaged time 2024-07-22 12:45:03.969528+00:00, HCHO col 1.6166e+16, unc 1.1927e+16\n", - "no Small: averaged time 2024-07-22 12:45:03.969528+00:00, HCHO col 1.6166e+16, unc 1.1927e+16\n", - "178447994_TEMPO_HCHO_L2_V04_20240722T140346Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.041359 -76.284012 1.0424e+16 8.2897e+15 0\n", - " 9 846 37.022022 -76.288414 1.8477e+16 6.4694e+15 0\n", - " 10 845 37.039093 -76.340858 1.6167e+16 9.8985e+15 0\n", - " 10 846 37.019764 -76.345245 1.5504e+16 1.4108e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 14:05:11.220146+00:00, HCHO col 1.5961e+16, unc 1.2910e+16\n", - "no negative: averaged time 2024-07-22 14:05:11.220146+00:00, HCHO col 1.5961e+16, unc 1.2910e+16\n", - "no Small: averaged time 2024-07-22 14:05:11.220146+00:00, HCHO col 1.5961e+16, unc 1.2910e+16\n", - "178447993_TEMPO_HCHO_L2_V04_20240722T132338Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.030083 -76.318344 2.2956e+16 1.5813e+16 0\n", - " 10 847 37.010738 -76.322739 1.9993e+16 6.5243e+15 0\n", - " 11 846 37.028351 -76.375679 9.5178e+15 1.1480e+16 0\n", - " 11 847 37.009010 -76.380066 9.6243e+15 1.3761e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 13:25:07.530048+00:00, HCHO col 1.7748e+16, unc 1.0130e+16\n", - "no negative: averaged time 2024-07-22 13:25:07.530048+00:00, HCHO col 1.7748e+16, unc 1.0130e+16\n", - "no Small: averaged time 2024-07-22 13:25:06.676001+00:00, HCHO col 2.1474e+16, unc 1.1169e+16\n", - "178447995_TEMPO_HCHO_L2_V04_20240722T150346Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.025566 -76.333534 2.3941e+16 1.6997e+16 0\n", - " 10 846 37.006252 -76.337914 2.3102e+16 2.1040e+16 0\n", - " 11 845 37.023998 -76.390846 1.1207e+16 7.1644e+15 0\n", - " 11 846 37.004681 -76.395218 4.8326e+15 1.5461e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 15:05:11.774871+00:00, HCHO col 2.3296e+16, unc 1.7765e+16\n", - "no negative: averaged time 2024-07-22 15:05:11.774871+00:00, HCHO col 2.3296e+16, unc 1.7765e+16\n", - "no Small: averaged time 2024-07-22 15:05:11.774870+00:00, HCHO col 2.3296e+16, unc 1.7765e+16\n", - "178447996_TEMPO_HCHO_L2_V04_20240722T160346Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035858 -76.327629 8.0121e+15 7.8153e+15 0\n", - " 10 846 37.016533 -76.332024 1.5974e+16 2.4905e+16 0\n", - " 11 845 37.033978 -76.384109 8.7247e+15 9.7764e+15 0\n", - " 11 846 37.014660 -76.388481 1.1500e+16 1.2253e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 16:05:11.985078+00:00, HCHO col 1.4416e+16, unc 2.1602e+16\n", - "no negative: averaged time 2024-07-22 16:05:11.985078+00:00, HCHO col 1.4416e+16, unc 2.1602e+16\n", - "no Small: averaged time 2024-07-22 16:05:11.691092+00:00, HCHO col 8.0121e+15, unc 7.8153e+15\n", - "178447997_TEMPO_HCHO_L2_V04_20240722T170346Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038406 -76.299927 1.3333e+15 3.0123e+16 0\n", - " 10 846 37.019089 -76.304321 1.9625e+16 9.8710e+15 0\n", - " 11 845 37.036678 -76.356888 1.8854e+16 1.8418e+16 0\n", - " 11 846 37.017357 -76.361267 1.1671e+16 1.1233e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 17:05:13.431777+00:00, HCHO col 1.5868e+16, unc 1.1476e+16\n", - "no negative: averaged time 2024-07-22 17:05:13.431777+00:00, HCHO col 1.5868e+16, unc 1.1476e+16\n", - "no Small: averaged time 2024-07-22 17:05:13.431777+00:00, HCHO col 1.5868e+16, unc 1.1476e+16\n", - "178447999_TEMPO_HCHO_L2_V04_20240722T190346Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024387 -76.304733 1.6738e+16 6.1027e+15 0\n", - " 10 847 37.005062 -76.309128 1.0940e+16 4.1524e+15 0\n", - " 11 846 37.022362 -76.361702 1.0185e+16 5.1938e+15 0\n", - " 11 847 37.003052 -76.366066 1.1883e+16 4.9452e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 19:05:13.346123+00:00, HCHO col 1.2257e+16, unc 5.3045e+15\n", - "no negative: averaged time 2024-07-22 19:05:13.346123+00:00, HCHO col 1.2257e+16, unc 5.3045e+15\n", - "no Small: averaged time 2024-07-22 19:05:13.346123+00:00, HCHO col 1.2257e+16, unc 5.3045e+15\n", - "178447998_TEMPO_HCHO_L2_V04_20240722T180346Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.023266 -76.291901 2.6787e+14 5.3437e+15 0\n", - " 10 847 37.003956 -76.296280 1.5962e+16 1.8984e+16 0\n", - " 11 846 37.022068 -76.348938 1.1766e+16 5.7984e+15 0\n", - " 11 847 37.002750 -76.353310 1.3017e+16 1.8770e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 18:05:14.036257+00:00, HCHO col 1.0841e+16, unc 7.1352e+15\n", - "no negative: averaged time 2024-07-22 18:05:14.036257+00:00, HCHO col 1.0841e+16, unc 7.1352e+15\n", - "no Small: averaged time 2024-07-22 18:05:14.716918+00:00, HCHO col 1.1766e+16, unc 5.7984e+15\n", - "178448000_TEMPO_HCHO_L2_V04_20240722T200346Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.021835 -76.315590 1.4826e+16 4.8881e+15 0\n", - " 10 846 37.002537 -76.319969 1.3340e+16 6.5779e+15 0\n", - " 11 845 37.020111 -76.373108 1.2334e+16 5.2686e+15 0\n", - " 11 846 37.000793 -76.377472 2.7338e+15 4.9137e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 20:05:15.812814+00:00, HCHO col 1.3855e+16, unc 5.1056e+15\n", - "no negative: averaged time 2024-07-22 20:05:15.812814+00:00, HCHO col 1.3855e+16, unc 5.1056e+15\n", - "no Small: averaged time 2024-07-22 20:05:15.812814+00:00, HCHO col 1.3855e+16, unc 5.1056e+15\n", - "178448001_TEMPO_HCHO_L2_V04_20240722T210346Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.023937 -76.285614 9.7631e+15 5.2689e+15 0\n", - " 9 847 37.004627 -76.290009 1.0014e+16 2.2942e+16 0\n", - " 10 846 37.022327 -76.343307 9.8539e+15 8.8167e+15 0\n", - " 10 847 37.003017 -76.347679 9.0807e+15 9.9339e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 21:05:17.371134+00:00, HCHO col 9.8715e+15, unc 1.0413e+16\n", - "no negative: averaged time 2024-07-22 21:05:17.371134+00:00, HCHO col 9.8715e+15, unc 1.0413e+16\n", - "no Small: averaged time 2024-07-22 21:05:16.233892+00:00, HCHO col 9.8085e+15, unc 7.0428e+15\n", - "178448002_TEMPO_HCHO_L2_V04_20240722T220346Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034328 -76.296867 2.2845e+15 9.5145e+15 0\n", - " 10 846 37.015007 -76.301254 1.5975e+16 1.0533e+16 0\n", - " 11 845 37.033165 -76.354660 1.4492e+16 1.1120e+16 0\n", - " 11 846 37.013851 -76.359032 1.1512e+16 9.4482e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-22 22:05:16.642077+00:00, HCHO col 1.4069e+16, unc 1.0365e+16\n", - "no negative: averaged time 2024-07-22 22:05:16.642077+00:00, HCHO col 1.4069e+16, unc 1.0365e+16\n", - "no Small: averaged time 2024-07-22 22:05:16.642077+00:00, HCHO col 1.4069e+16, unc 1.0365e+16\n", - "jobID = 48e35b36-ad33-4e05-bf9d-fd5817378ca3\n" + "./222141608_TEMPO_HCHO_L2_V04_20240723T153032Z_S007G07_subsetted.nc\n", + "./222141607_TEMPO_HCHO_L2_V04_20240723T143032Z_S006G07_subsetted.nc\n", + "./222141609_TEMPO_HCHO_L2_V04_20240723T163032Z_S008G07_subsetted.nc\n", + "./222141611_TEMPO_HCHO_L2_V04_20240723T183032Z_S010G07_subsetted.nc\n", + "./222141610_TEMPO_HCHO_L2_V04_20240723T173032Z_S009G07_subsetted.nc\n", + "./222141612_TEMPO_HCHO_L2_V04_20240723T193032Z_S011G07_subsetted.nc\n", + "./222141613_TEMPO_HCHO_L2_V04_20240723T203032Z_S012G07_subsetted.nc\n", + "./222141614_TEMPO_HCHO_L2_V04_20240723T213032Z_S013G07_subsetted.nc\n", + "./222141616_TEMPO_HCHO_L2_V04_20240723T231037Z_S015G04_subsetted.nc\n", + "./222141615_TEMPO_HCHO_L2_V04_20240723T223032Z_S014G07_subsetted.nc\n", + "./222141617_TEMPO_HCHO_L2_V04_20240723T235042Z_S016G04_subsetted.nc\n", + "Number of result files: 11\n", + "222141608_TEMPO_HCHO_L2_V04_20240723T153032Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.056973 -105.243187 6.7480e+15 4.6834e+15 0\n", + " 10 692 40.036499 -105.238182 6.1360e+15 3.9745e+15 0\n", + " 11 691 40.055710 -105.301109 -1.1429e+15 4.1514e+15 0\n", + " 11 692 40.036453 -105.296722 9.7319e+15 4.2631e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 15:31:26.866295+00:00, HCHO col 6.3855e+15, unc 4.0269e+15\n", + "no negative: averaged time 2024-07-23 15:31:26.866295+00:00, HCHO col 6.3855e+15, unc 4.0269e+15\n", + "no Small: averaged time 2024-07-23 15:31:26.866295+00:00, HCHO col 6.3855e+15, unc 4.0269e+15\n", + "222141607_TEMPO_HCHO_L2_V04_20240723T143032Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.045128 -105.223640 1.0422e+16 4.9142e+15 0\n", + " 10 693 40.024719 -105.218689 -2.9029e+15 3.9669e+15 1\n", + " 11 692 40.046421 -105.283180 1.2023e+16 4.5878e+15 0\n", + " 11 693 40.026375 -105.278397 1.3486e+15 4.8978e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 14:31:28.706820+00:00, HCHO col 7.9310e+15, unc 4.7999e+15\n", + "no negative: averaged time 2024-07-23 14:31:28.706820+00:00, HCHO col 7.9310e+15, unc 4.7999e+15\n", + "no Small: averaged time 2024-07-23 14:31:28.201309+00:00, HCHO col 1.1222e+16, unc 4.7510e+15\n", + "222141609_TEMPO_HCHO_L2_V04_20240723T163032Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.037399 -105.213066 1.0809e+16 3.5530e+15 0\n", + " 9 692 40.016808 -105.208015 -1.4910e+15 4.1028e+15 0\n", + " 10 691 40.038357 -105.271431 -1.8351e+15 4.8301e+15 0\n", + " 10 692 40.018017 -105.266495 5.8423e+15 4.1078e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 16:31:28.170774+00:00, HCHO col 4.6627e+15, unc 4.1748e+15\n", + "no negative: averaged time 2024-07-23 16:31:28.178954+00:00, HCHO col 8.3256e+15, unc 3.8304e+15\n", + "no Small: averaged time 2024-07-23 16:31:28.178954+00:00, HCHO col 8.3256e+15, unc 3.8304e+15\n", + "222141611_TEMPO_HCHO_L2_V04_20240723T183032Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.039658 -105.207626 9.4944e+15 3.9354e+15 0\n", + " 9 693 40.018982 -105.202538 7.8183e+15 4.1190e+15 0\n", + " 10 692 40.040527 -105.266518 1.0857e+16 4.3453e+15 0\n", + " 10 693 40.020184 -105.261566 6.5820e+15 4.9589e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 18:31:31.514925+00:00, HCHO col 9.7426e+15, unc 4.2598e+15\n", + "no negative: averaged time 2024-07-23 18:31:31.514925+00:00, HCHO col 9.7426e+15, unc 4.2598e+15\n", + "no Small: averaged time 2024-07-23 18:31:31.514925+00:00, HCHO col 9.7426e+15, unc 4.2598e+15\n", + "222141610_TEMPO_HCHO_L2_V04_20240723T173032Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.056862 -105.231430 9.3273e+15 4.0469e+15 0\n", + " 10 692 40.036289 -105.226372 1.1442e+16 4.1927e+15 0\n", + " 11 691 40.057095 -105.290604 1.0757e+14 4.8383e+15 0\n", + " 11 692 40.037365 -105.285965 5.7606e+15 4.3150e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 17:31:30.493370+00:00, HCHO col 9.8780e+15, unc 4.2177e+15\n", + "no negative: averaged time 2024-07-23 17:31:30.493370+00:00, HCHO col 9.8780e+15, unc 4.2177e+15\n", + "no Small: averaged time 2024-07-23 17:31:30.493370+00:00, HCHO col 9.8780e+15, unc 4.2177e+15\n", + "222141612_TEMPO_HCHO_L2_V04_20240723T193032Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 690 40.055729 -105.222397 6.1018e+15 4.3296e+15 0\n", + " 10 691 40.035229 -105.217384 2.9105e+15 4.7899e+15 0\n", + " 11 690 40.056709 -105.281349 1.4202e+16 4.4268e+15 0\n", + " 11 691 40.036572 -105.276505 1.5073e+16 4.9023e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 19:31:30.967453+00:00, HCHO col 8.1559e+15, unc 4.7972e+15\n", + "no negative: averaged time 2024-07-23 19:31:30.967453+00:00, HCHO col 8.1559e+15, unc 4.7972e+15\n", + "no Small: averaged time 2024-07-23 19:31:31.748229+00:00, HCHO col 1.1792e+16, unc 4.5529e+15\n", + "222141613_TEMPO_HCHO_L2_V04_20240723T203032Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044811 -105.192253 1.4613e+16 4.8678e+15 0\n", + " 9 693 40.024055 -105.187111 7.1633e+15 4.5444e+15 0\n", + " 10 692 40.045834 -105.252029 7.7776e+15 5.4345e+15 0\n", + " 10 693 40.025490 -105.247086 2.2736e+16 5.4173e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 20:31:32.330196+00:00, HCHO col 1.4723e+16, unc 5.3514e+15\n", + "no negative: averaged time 2024-07-23 20:31:32.330196+00:00, HCHO col 1.4723e+16, unc 5.3514e+15\n", + "no Small: averaged time 2024-07-23 20:31:32.330196+00:00, HCHO col 1.4723e+16, unc 5.3514e+15\n", + "222141614_TEMPO_HCHO_L2_V04_20240723T213032Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.053516 -105.211876 3.8302e+15 5.1619e+15 0\n", + " 9 692 40.033089 -105.206902 7.0596e+15 4.9821e+15 0\n", + " 10 691 40.054272 -105.270607 1.0784e+16 6.5854e+15 0\n", + " 10 692 40.034065 -105.265724 6.3374e+15 5.4287e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 21:31:31.487194+00:00, HCHO col 6.0324e+15, unc 5.2753e+15\n", + "no negative: averaged time 2024-07-23 21:31:31.487194+00:00, HCHO col 6.0324e+15, unc 5.2753e+15\n", + "no Small: averaged time 2024-07-23 21:31:31.487565+00:00, HCHO col 7.4860e+15, unc 5.4616e+15\n", + "222141616_TEMPO_HCHO_L2_V04_20240723T231037Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.050579 -105.196999 1.2833e+16 4.4638e+15 0\n", + " 9 693 40.029938 -105.191925 9.1754e+15 4.8930e+15 0\n", + " 10 692 40.051407 -105.256516 6.8539e+14 5.2499e+15 0\n", + " 10 693 40.031120 -105.251595 8.4643e+15 5.0572e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 23:11:40.196116+00:00, HCHO col 8.2402e+15, unc 4.9716e+15\n", + "no negative: averaged time 2024-07-23 23:11:40.196116+00:00, HCHO col 8.2402e+15, unc 4.9716e+15\n", + "no Small: averaged time 2024-07-23 23:11:38.743807+00:00, HCHO col 1.0158e+16, unc 4.8047e+15\n", + "222141615_TEMPO_HCHO_L2_V04_20240723T223032Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.054474 -105.229874 1.8951e+16 9.9016e+15 0\n", + " 10 693 40.033951 -105.224838 6.7350e+15 9.8387e+15 0\n", + " 11 692 40.054909 -105.289139 -6.0162e+15 6.6469e+16 0\n", + " 11 693 40.035007 -105.284409 -1.0420e+16 6.4734e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 22:31:33.569723+00:00, HCHO col 3.9630e+15, unc 2.4927e+16\n", + "no negative: averaged time 2024-07-23 22:31:32.736632+00:00, HCHO col 1.2843e+16, unc 9.8701e+15\n", + "no Small: averaged time 2024-07-23 22:31:32.736632+00:00, HCHO col 1.8951e+16, unc 9.9016e+15\n", + "222141617_TEMPO_HCHO_L2_V04_20240723T235042Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.053085 -105.201820 1.3299e+16 5.7517e+15 0\n", + " 9 693 40.032581 -105.196808 3.5858e+15 5.0028e+15 0\n", + " 10 692 40.054043 -105.261612 -4.3748e+15 6.5338e+15 0\n", + " 10 693 40.033787 -105.256706 8.6461e+15 4.6702e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-23 23:51:44.959277+00:00, HCHO col 9.2291e+15, unc 4.9045e+15\n", + "no negative: averaged time 2024-07-23 23:51:44.959277+00:00, HCHO col 9.2291e+15, unc 4.9045e+15\n", + "no Small: averaged time 2024-07-23 23:51:44.237297+00:00, HCHO col 1.0973e+16, unc 5.2110e+15\n", + "jobID = f5da843e-85d6-4d72-9203-71b82bf3172c\n" ] }, { @@ -3749,148 +4046,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448025_TEMPO_HCHO_L2_V04_20240723T104334Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024349 -76.319244 3.4259e+16 1.7919e+16 1\n", - " 10 847 37.005028 -76.323624 3.8330e+16 1.7670e+16 1\n", - " 11 846 37.022297 -76.376549 -2.5068e+15 1.4505e+16 1\n", - " 11 847 37.002964 -76.380913 4.1076e+16 1.8292e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222141625_TEMPO_HCHO_L2_V04_20240724T011052Z_S018G04_subsetted.nc\n", + "./222141624_TEMPO_HCHO_L2_V04_20240724T003047Z_S017G04_subsetted.nc\n", + "Number of result files: 2\n", + "222141625_TEMPO_HCHO_L2_V04_20240724T011052Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.051353 -105.221001 -1.2054e+16 1.0739e+16 1\n", + " 10 693 40.030956 -105.216042 -1.3697e+16 9.8237e+15 1\n", + " 11 692 40.052055 -105.279663 1.2296e+16 9.4695e+15 1\n", + " 11 693 40.031933 -105.274818 1.8118e+16 1.0974e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448026_TEMPO_HCHO_L2_V04_20240723T112339Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036686 -76.301994 1.4000e+16 5.3019e+15 0\n", - " 10 846 37.017338 -76.306396 1.4455e+16 5.0519e+15 0\n", - " 11 845 37.034504 -76.360184 1.1142e+16 5.4987e+15 0\n", - " 11 846 37.015152 -76.364563 2.1281e+16 7.0730e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 11:25:09.299805+00:00, HCHO col 1.5944e+16, unc 5.7977e+15\n", - "no negative: averaged time 2024-07-23 11:25:09.299805+00:00, HCHO col 1.5944e+16, unc 5.7977e+15\n", - "no Small: averaged time 2024-07-23 11:25:09.299805+00:00, HCHO col 1.5944e+16, unc 5.7977e+15\n", - "178448027_TEMPO_HCHO_L2_V04_20240723T120344Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035549 -76.312477 1.4687e+16 3.8189e+15 0\n", - " 10 846 37.016201 -76.316872 1.6905e+16 4.3482e+15 0\n", - " 11 845 37.034008 -76.369255 2.0190e+16 3.7876e+15 0\n", - " 11 846 37.014668 -76.373642 1.5555e+16 2.8060e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 12:05:13.788376+00:00, HCHO col 1.7528e+16, unc 4.0201e+15\n", - "no negative: averaged time 2024-07-23 12:05:13.788376+00:00, HCHO col 1.7528e+16, unc 4.0201e+15\n", - "no Small: averaged time 2024-07-23 12:05:13.788376+00:00, HCHO col 1.7528e+16, unc 4.0201e+15\n", - "178448028_TEMPO_HCHO_L2_V04_20240723T124349Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.030361 -76.298820 1.6223e+16 5.8975e+15 0\n", - " 10 847 37.011021 -76.303223 1.3270e+16 3.6909e+15 0\n", - " 11 846 37.028881 -76.354622 1.1867e+16 4.3095e+15 0\n", - " 11 847 37.009544 -76.359001 1.3322e+16 4.3066e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 12:45:19.621863+00:00, HCHO col 1.2534e+16, unc 4.0864e+15\n", - "no negative: averaged time 2024-07-23 12:45:19.621863+00:00, HCHO col 1.2534e+16, unc 4.0864e+15\n", - "no Small: averaged time 2024-07-23 12:45:19.621863+00:00, HCHO col 1.2534e+16, unc 4.0864e+15\n", - "178448029_TEMPO_HCHO_L2_V04_20240723T132354Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.025719 -76.297356 1.5288e+16 6.3536e+15 0\n", - " 10 847 37.006386 -76.301758 1.2034e+16 5.4859e+15 0\n", - " 11 846 37.023777 -76.354630 1.0753e+16 4.8123e+15 0\n", - " 11 847 37.004444 -76.359009 1.1667e+16 4.7018e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 13:25:24.712475+00:00, HCHO col 1.1561e+16, unc 5.1378e+15\n", - "no negative: averaged time 2024-07-23 13:25:24.712475+00:00, HCHO col 1.1561e+16, unc 5.1378e+15\n", - "no Small: averaged time 2024-07-23 13:25:24.712475+00:00, HCHO col 1.1561e+16, unc 5.1378e+15\n", - "178448031_TEMPO_HCHO_L2_V04_20240723T150402Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021629 -76.334572 1.3013e+16 5.1587e+15 0\n", - " 10 847 37.002316 -76.338951 1.3659e+16 4.8218e+15 0\n", - " 11 846 37.019909 -76.391472 1.1568e+16 7.1379e+15 0\n", - " 11 847 37.000576 -76.395836 2.1363e+16 4.7973e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 15:05:27.775735+00:00, HCHO col 1.3012e+16, unc 5.1969e+15\n", - "no negative: averaged time 2024-07-23 15:05:27.775735+00:00, HCHO col 1.3012e+16, unc 5.1969e+15\n", - "no Small: averaged time 2024-07-23 15:05:27.775735+00:00, HCHO col 1.3012e+16, unc 5.1969e+15\n", - "178448030_TEMPO_HCHO_L2_V04_20240723T140402Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024799 -76.316582 1.1633e+16 1.1382e+16 0\n", - " 10 847 37.005482 -76.320969 2.9318e+15 6.2623e+15 0\n", - " 11 846 37.022717 -76.374092 1.6204e+16 4.7292e+15 0\n", - " 11 847 37.003387 -76.378464 9.2510e+15 6.0304e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 14:05:28.697174+00:00, HCHO col 1.1441e+16, unc 8.1577e+15\n", - "no negative: averaged time 2024-07-23 14:05:28.697174+00:00, HCHO col 1.1441e+16, unc 8.1577e+15\n", - "no Small: averaged time 2024-07-23 14:05:28.697361+00:00, HCHO col 1.1786e+16, unc 9.4222e+15\n", - "178448032_TEMPO_HCHO_L2_V04_20240723T160402Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.024746 -76.310211 1.3303e+16 1.1420e+16 0\n", - " 10 846 37.005428 -76.314590 8.6199e+15 5.0722e+15 0\n", - " 11 845 37.023281 -76.367134 1.6288e+16 9.0086e+15 0\n", - " 11 846 37.003963 -76.371506 1.0673e+16 6.8049e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 16:05:29.024333+00:00, HCHO col 1.3723e+16, unc 9.0935e+15\n", - "no negative: averaged time 2024-07-23 16:05:29.024333+00:00, HCHO col 1.3723e+16, unc 9.0935e+15\n", - "no Small: averaged time 2024-07-23 16:05:29.024333+00:00, HCHO col 1.3723e+16, unc 9.0935e+15\n", - "178448033_TEMPO_HCHO_L2_V04_20240723T170402Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036873 -76.291168 1.9459e+16 1.9704e+16 0\n", - " 10 846 37.017544 -76.295570 3.4359e+15 8.3661e+15 0\n", - " 11 845 37.035652 -76.348427 1.4207e+16 7.6802e+16 0\n", - " 11 846 37.016331 -76.352806 2.2984e+16 3.8765e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 17:05:29.896944+00:00, HCHO col 1.6076e+16, unc 3.7769e+16\n", - "no negative: averaged time 2024-07-23 17:05:29.896944+00:00, HCHO col 1.6076e+16, unc 3.7769e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448034_TEMPO_HCHO_L2_V04_20240723T180402Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026520 -76.320786 2.3528e+16 1.9181e+16 0\n", - " 10 847 37.007210 -76.325172 5.4903e+15 5.5922e+15 0\n", - " 11 846 37.025154 -76.378624 2.1003e+16 4.4308e+16 0\n", - " 11 847 37.005836 -76.382996 1.1124e+16 7.5032e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 18:05:31.472662+00:00, HCHO col 1.7405e+16, unc 2.1335e+16\n", - "no negative: averaged time 2024-07-23 18:05:31.472662+00:00, HCHO col 1.7405e+16, unc 2.1335e+16\n", - "no Small: averaged time 2024-07-23 18:05:32.229908+00:00, HCHO col 1.7326e+16, unc 1.3342e+16\n", - "178448036_TEMPO_HCHO_L2_V04_20240723T200402Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.037846 -76.314400 1.6524e+16 1.8059e+16 0\n", - " 10 846 37.018524 -76.318779 2.3232e+16 1.8815e+16 0\n", - " 11 845 37.036263 -76.371765 6.8597e+15 1.1817e+16 0\n", - " 11 846 37.016941 -76.376144 2.3041e+16 6.9740e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 20:05:31.676855+00:00, HCHO col 2.1260e+16, unc 2.8254e+16\n", - "no negative: averaged time 2024-07-23 20:05:31.676855+00:00, HCHO col 2.1260e+16, unc 2.8254e+16\n", - "no Small: averaged time 2024-07-23 20:05:30.707263+00:00, HCHO col 2.3232e+16, unc 1.8815e+16\n", - "178448037_TEMPO_HCHO_L2_V04_20240723T210402Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032883 -76.309631 1.3642e+17 8.5766e+16 1\n", - " 10 846 37.013569 -76.314018 1.0065e+17 8.0578e+16 1\n", - " 11 845 37.031433 -76.367699 3.2305e+16 1.3733e+17 1\n", - " 11 846 37.012108 -76.372070 2.4109e+15 1.5282e+17 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448035_TEMPO_HCHO_L2_V04_20240723T190402Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 844 37.038506 -76.277267 3.9800e+16 4.7282e+16 0\n", - " 9 845 37.019188 -76.281670 2.9582e+16 7.8087e+16 0\n", - " 10 844 37.037205 -76.334755 -3.1403e+16 5.2797e+16 0\n", - " 10 845 37.017895 -76.339134 2.4848e+16 8.6596e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 19:05:30.622886+00:00, HCHO col 1.8137e+16, unc 1.6470e+16\n", - "no negative: averaged time 2024-07-23 19:05:28.706346+00:00, HCHO col 3.1410e+16, unc 4.4676e+16\n", - "no Small: averaged time 2024-07-23 19:05:30.728393+00:00, HCHO col 2.4848e+16, unc 8.6596e+15\n", - "178448038_TEMPO_HCHO_L2_V04_20240723T220402Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036098 -76.293968 -6.6644e+16 6.1778e+16 1\n", - " 10 846 37.016781 -76.298355 3.4760e+16 5.3430e+16 0\n", - " 11 845 37.034267 -76.351204 5.5665e+16 3.6734e+16 0\n", - " 11 846 37.014961 -76.355576 1.2873e+17 3.3095e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-23 22:05:32.791202+00:00, HCHO col 8.1289e+16, unc 4.0354e+16\n", - "no negative: averaged time 2024-07-23 22:05:32.791202+00:00, HCHO col 8.1289e+16, unc 4.0354e+16\n", - "no Small: averaged time 2024-07-23 22:05:33.739787+00:00, HCHO col 9.2196e+16, unc 3.4915e+16\n", - "jobID = 1d937a76-d880-41a8-aa5f-07861741758e\n" + "222141624_TEMPO_HCHO_L2_V04_20240724T003047Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.037449 -105.194298 -1.2554e+16 6.1382e+15 1\n", + " 9 693 40.016529 -105.189087 6.3547e+15 5.2741e+15 0\n", + " 10 692 40.038738 -105.253761 4.3734e+15 7.4444e+15 0\n", + " 10 693 40.018383 -105.248810 4.8614e+15 7.3047e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-24 00:31:49.735650+00:00, HCHO col 5.1965e+15, unc 6.6744e+15\n", + "no negative: averaged time 2024-07-24 00:31:49.735650+00:00, HCHO col 5.1965e+15, unc 6.6744e+15\n", + "no Small: averaged time 2024-07-24 00:31:47.713606+00:00, HCHO col 6.3547e+15, unc 5.2741e+15\n", + "jobID = 993d4d35-4ae5-4470-8ac8-ef3fd6652132\n" ] }, { @@ -3904,148 +4083,129 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448060_TEMPO_HCHO_L2_V04_20240725T112412Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.037361 -76.300613 1.0992e+16 1.3075e+16 0\n", - " 10 845 37.018013 -76.305008 5.6796e+15 8.2555e+15 0\n", - " 11 844 37.035030 -76.357956 1.3282e+16 1.1244e+16 0\n", - " 11 845 37.015678 -76.362335 -6.1136e+15 1.3955e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 11:25:39.342798+00:00, HCHO col 2.6276e+15, unc 1.0972e+16\n", - "no negative: averaged time 2024-07-25 11:25:38.639151+00:00, HCHO col 9.9845e+15, unc 1.0858e+16\n", - "no Small: averaged time 2024-07-25 11:25:40.661241+00:00, HCHO col 1.3282e+16, unc 1.1244e+16\n", - "178448061_TEMPO_HCHO_L2_V04_20240725T120417Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.039646 -76.323250 6.6719e+14 4.6717e+15 0\n", - " 10 845 37.020290 -76.327644 6.0255e+15 5.1683e+15 0\n", - " 11 844 37.037804 -76.380646 -7.3592e+14 7.8847e+15 0\n", - " 11 845 37.018467 -76.385010 -2.1471e+15 7.9730e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 12:05:46.157773+00:00, HCHO col 4.7618e+15, unc 5.6081e+15\n", - "no negative: averaged time 2024-07-25 12:05:45.680727+00:00, HCHO col 3.3464e+15, unc 4.9200e+15\n", - "no Small: averaged time 2024-07-25 12:05:45.680727+00:00, HCHO col 6.0255e+15, unc 5.1683e+15\n", - "178448062_TEMPO_HCHO_L2_V04_20240725T124422Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.040741 -76.287193 3.9566e+15 4.2914e+15 0\n", - " 10 847 37.021397 -76.291595 1.0578e+16 3.5755e+15 0\n", - " 11 846 37.039059 -76.345253 7.8956e+15 2.5593e+15 0\n", - " 11 847 37.019718 -76.349640 4.7129e+15 2.9647e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 12:45:53.036899+00:00, HCHO col 6.0598e+15, unc 3.0971e+15\n", - "no negative: averaged time 2024-07-25 12:45:53.036899+00:00, HCHO col 6.0598e+15, unc 3.0971e+15\n", - "no Small: averaged time 2024-07-25 12:45:53.036899+00:00, HCHO col 6.0598e+15, unc 3.0971e+15\n", - "178448059_TEMPO_HCHO_L2_V04_20240725T104407Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035900 -76.303246 1.6862e+16 1.6086e+16 1\n", - " 10 846 37.016556 -76.307640 1.6351e+16 1.5149e+16 1\n", - " 11 845 37.034840 -76.359596 4.0032e+16 1.8544e+16 1\n", - " 11 846 37.015495 -76.363968 1.6965e+16 2.4423e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448064_TEMPO_HCHO_L2_V04_20240725T140435Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032082 -76.331665 8.4472e+15 2.9746e+15 0\n", - " 10 846 37.012756 -76.336044 7.1716e+15 3.4153e+15 0\n", - " 11 845 37.030361 -76.388512 7.3190e+15 4.1293e+15 0\n", - " 11 846 37.011040 -76.392876 4.9995e+15 4.2297e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 14:06:00.810240+00:00, HCHO col 7.6288e+15, unc 3.2880e+15\n", - "no negative: averaged time 2024-07-25 14:06:00.810240+00:00, HCHO col 7.6288e+15, unc 3.2880e+15\n", - "no Small: averaged time 2024-07-25 14:06:00.810240+00:00, HCHO col 7.6288e+15, unc 3.2880e+15\n", - "178448066_TEMPO_HCHO_L2_V04_20240725T160435Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035480 -76.319679 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 846 37.016140 -76.324066 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 845 37.034191 -76.377174 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 846 37.014858 -76.381538 -1.0000e+30 -1.0000e+30 -9999\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448063_TEMPO_HCHO_L2_V04_20240725T132427Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022831 -76.313538 9.5988e+15 3.1364e+15 0\n", - " 10 847 37.003510 -76.317924 7.4705e+15 3.0142e+15 0\n", - " 11 846 37.021313 -76.370155 8.1810e+15 3.4301e+15 0\n", - " 11 847 37.001980 -76.374535 8.2803e+15 2.4413e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 13:25:56.897736+00:00, HCHO col 8.8203e+15, unc 3.2416e+15\n", - "no negative: averaged time 2024-07-25 13:25:56.897736+00:00, HCHO col 8.8203e+15, unc 3.2416e+15\n", - "no Small: averaged time 2024-07-25 13:25:56.897736+00:00, HCHO col 8.8203e+15, unc 3.2416e+15\n", - "178448065_TEMPO_HCHO_L2_V04_20240725T150435Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.038158 -76.294258 -9.5032e+15 8.5460e+16 0\n", - " 10 845 37.018822 -76.298668 1.7653e+14 2.1065e+16 0\n", - " 11 844 37.036911 -76.351875 -1.2223e+17 9.9451e+16 0\n", - " 11 845 37.017582 -76.356255 -4.9574e+16 5.4871e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 15:05:59.677783+00:00, HCHO col -4.1714e+16, unc 4.8958e+16\n", - "no negative: averaged time 2024-07-25 15:05:57.652388+00:00, HCHO col 1.7653e+14, unc 2.1065e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448067_TEMPO_HCHO_L2_V04_20240725T170435Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034618 -76.306625 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 846 37.015289 -76.311012 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 845 37.033058 -76.363556 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 846 37.013725 -76.367935 -1.0000e+30 -1.0000e+30 -9999\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448068_TEMPO_HCHO_L2_V04_20240725T180435Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022961 -76.296440 7.2283e+15 2.8287e+15 0\n", - " 10 847 37.003647 -76.300827 1.0153e+16 3.0892e+15 0\n", - " 11 846 37.021313 -76.353271 7.2392e+15 3.1960e+15 0\n", - " 11 847 37.001999 -76.357635 8.9269e+15 2.9671e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 18:06:02.800950+00:00, HCHO col 7.4640e+15, unc 3.1063e+15\n", - "no negative: averaged time 2024-07-25 18:06:02.800950+00:00, HCHO col 7.4640e+15, unc 3.1063e+15\n", - "no Small: averaged time 2024-07-25 18:06:02.800950+00:00, HCHO col 7.4640e+15, unc 3.1063e+15\n", - "178448070_TEMPO_HCHO_L2_V04_20240725T200435Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035221 -76.326439 9.0224e+15 6.3991e+15 0\n", - " 10 846 37.015903 -76.330818 1.2999e+16 5.6532e+15 0\n", - " 11 845 37.033909 -76.383842 1.0594e+16 1.0879e+16 0\n", - " 11 846 37.014603 -76.388206 -4.2002e+15 1.4926e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 20:06:04.067788+00:00, HCHO col 1.2248e+16, unc 6.3607e+15\n", - "no negative: averaged time 2024-07-25 20:06:04.067788+00:00, HCHO col 1.2248e+16, unc 6.3607e+15\n", - "no Small: averaged time 2024-07-25 20:06:03.707762+00:00, HCHO col 1.1011e+16, unc 6.0261e+15\n", - "178448069_TEMPO_HCHO_L2_V04_20240725T190435Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033043 -76.304764 3.1609e+15 1.3520e+16 0\n", - " 10 846 37.013721 -76.309143 8.7268e+15 1.3835e+16 0\n", - " 11 845 37.031540 -76.362564 -5.5154e+15 2.1719e+16 0\n", - " 11 846 37.012215 -76.366936 -1.2528e+16 2.4244e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 19:06:02.205491+00:00, HCHO col 6.8095e+14, unc 1.8121e+16\n", - "no negative: averaged time 2024-07-25 19:06:00.677385+00:00, HCHO col 5.9438e+15, unc 1.3678e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448071_TEMPO_HCHO_L2_V04_20240725T210435Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021694 -76.323944 1.4519e+16 8.5621e+15 0\n", - " 10 847 37.002403 -76.328308 6.3485e+15 7.0637e+15 0\n", - " 11 846 37.020069 -76.380714 2.0196e+16 7.4843e+15 0\n", - " 11 847 37.000759 -76.385078 4.4604e+15 8.6516e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 21:06:04.377162+00:00, HCHO col 1.5321e+16, unc 8.2456e+15\n", - "no negative: averaged time 2024-07-25 21:06:04.377162+00:00, HCHO col 1.5321e+16, unc 8.2456e+15\n", - "no Small: averaged time 2024-07-25 21:06:05.230081+00:00, HCHO col 1.7357e+16, unc 8.0232e+15\n", - "178448072_TEMPO_HCHO_L2_V04_20240725T220435Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038971 -76.322411 1.4402e+16 8.6216e+15 0\n", - " 10 846 37.019642 -76.326797 8.6607e+15 8.7354e+15 0\n", - " 11 845 37.037437 -76.379395 -1.8714e+15 1.2638e+16 0\n", - " 11 846 37.018135 -76.383751 1.3907e+16 1.4498e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-25 22:06:04.243330+00:00, HCHO col 8.8284e+15, unc 9.6594e+15\n", - "no negative: averaged time 2024-07-25 22:06:04.243393+00:00, HCHO col 9.8572e+15, unc 9.7430e+15\n", - "no Small: averaged time 2024-07-25 22:06:03.710203+00:00, HCHO col 1.4402e+16, unc 8.6216e+15\n", - "jobID = 8106b287-2f7c-4998-a0df-1d4077db4373\n" + "./222141686_TEMPO_HCHO_L2_V04_20240725T143105Z_S006G07_subsetted.nc\n", + "./222141687_TEMPO_HCHO_L2_V04_20240725T153105Z_S007G07_subsetted.nc\n", + "./222141688_TEMPO_HCHO_L2_V04_20240725T163105Z_S008G07_subsetted.nc\n", + "./222141689_TEMPO_HCHO_L2_V04_20240725T173105Z_S009G07_subsetted.nc\n", + "./222141690_TEMPO_HCHO_L2_V04_20240725T183105Z_S010G07_subsetted.nc\n", + "./222141691_TEMPO_HCHO_L2_V04_20240725T193105Z_S011G07_subsetted.nc\n", + "./222141692_TEMPO_HCHO_L2_V04_20240725T203105Z_S012G07_subsetted.nc\n", + "./222141693_TEMPO_HCHO_L2_V04_20240725T213105Z_S013G07_subsetted.nc\n", + "./222141694_TEMPO_HCHO_L2_V04_20240725T223105Z_S014G07_subsetted.nc\n", + "./222141695_TEMPO_HCHO_L2_V04_20240725T231110Z_S015G04_subsetted.nc\n", + "./222141696_TEMPO_HCHO_L2_V04_20240725T235115Z_S016G04_subsetted.nc\n", + "Number of result files: 11\n", + "222141686_TEMPO_HCHO_L2_V04_20240725T143105Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.053982 -105.243057 -7.3882e+14 5.0952e+15 0\n", + " 10 692 40.033566 -105.238091 5.1206e+15 4.7239e+15 0\n", + " 11 691 40.052090 -105.300568 8.7580e+14 4.7180e+15 0\n", + " 11 692 40.032719 -105.296112 1.1862e+16 5.2330e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 14:31:59.839998+00:00, HCHO col 4.3209e+15, unc 4.8220e+15\n", + "no negative: averaged time 2024-07-25 14:32:01.708256+00:00, HCHO col 5.9528e+15, unc 4.8916e+15\n", + "no Small: averaged time 2024-07-25 14:32:01.202744+00:00, HCHO col 8.4912e+15, unc 4.9784e+15\n", + "222141687_TEMPO_HCHO_L2_V04_20240725T153105Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 690 40.053978 -105.217041 -2.6562e+15 5.7171e+15 0\n", + " 9 691 40.033562 -105.212082 4.3929e+15 4.7899e+15 0\n", + " 10 690 40.054203 -105.276291 5.5376e+15 4.4254e+15 0\n", + " 10 691 40.034058 -105.271446 -4.2078e+14 4.5594e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 15:31:58.133119+00:00, HCHO col 7.6364e+14, unc 4.8451e+15\n", + "no negative: averaged time 2024-07-25 15:31:58.166932+00:00, HCHO col 4.9653e+15, unc 4.6076e+15\n", + "no Small: averaged time 2024-07-25 15:31:59.683466+00:00, HCHO col 5.5376e+15, unc 4.4254e+15\n", + "222141688_TEMPO_HCHO_L2_V04_20240725T163105Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.053631 -105.225899 1.2337e+16 4.9391e+15 0\n", + " 10 692 40.033123 -105.220879 2.8319e+15 4.2683e+15 0\n", + " 11 691 40.054695 -105.284912 1.0733e+15 5.5944e+15 0\n", + " 11 692 40.034527 -105.280052 9.6216e+15 4.9409e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 16:32:00.715074+00:00, HCHO col 6.9528e+15, unc 4.6251e+15\n", + "no negative: averaged time 2024-07-25 16:32:00.715074+00:00, HCHO col 6.9528e+15, unc 4.6251e+15\n", + "no Small: averaged time 2024-07-25 16:32:01.197903+00:00, HCHO col 1.0979e+16, unc 4.9400e+15\n", + "222141689_TEMPO_HCHO_L2_V04_20240725T173105Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.045361 -105.195274 5.4421e+15 5.3699e+15 0\n", + " 9 692 40.024635 -105.190155 9.2777e+14 5.3795e+15 0\n", + " 10 691 40.046337 -105.254379 -4.2450e+15 4.8848e+15 1\n", + " 10 692 40.025993 -105.249443 7.5501e+15 5.3792e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 17:32:00.688512+00:00, HCHO col 4.6400e+15, unc 5.3762e+15\n", + "no negative: averaged time 2024-07-25 17:32:00.688512+00:00, HCHO col 4.6400e+15, unc 5.3762e+15\n", + "no Small: averaged time 2024-07-25 17:32:01.194021+00:00, HCHO col 6.4961e+15, unc 5.3746e+15\n", + "222141690_TEMPO_HCHO_L2_V04_20240725T183105Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038300 -105.237640 9.1829e+15 4.6951e+15 0\n", + " 10 693 40.017899 -105.232666 1.1517e+16 4.4606e+15 0\n", + " 11 692 40.038231 -105.295746 7.2123e+15 5.9361e+15 0\n", + " 11 693 40.018276 -105.290993 4.7519e+15 5.1999e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 18:32:02.943679+00:00, HCHO col 8.9307e+15, unc 4.7630e+15\n", + "no negative: averaged time 2024-07-25 18:32:02.943679+00:00, HCHO col 8.9307e+15, unc 4.7630e+15\n", + "no Small: averaged time 2024-07-25 18:32:02.943912+00:00, HCHO col 9.1193e+15, unc 4.7832e+15\n", + "222141691_TEMPO_HCHO_L2_V04_20240725T193105Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.050346 -105.189880 7.1153e+15 5.6419e+15 0\n", + " 9 692 40.029655 -105.184784 -1.3050e+14 5.5594e+15 0\n", + " 10 691 40.051018 -105.248764 2.4773e+15 5.6119e+15 0\n", + " 10 692 40.030655 -105.243805 1.4484e+15 4.3655e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 19:32:02.528556+00:00, HCHO col 2.0705e+15, unc 4.7887e+15\n", + "no negative: averaged time 2024-07-25 19:32:02.528556+00:00, HCHO col 2.0705e+15, unc 4.7887e+15\n", + "no Small: averaged time 2024-07-25 19:31:59.674826+00:00, HCHO col 7.1153e+15, unc 5.6419e+15\n", + "222141692_TEMPO_HCHO_L2_V04_20240725T203105Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.039417 -105.200371 8.9580e+15 4.3876e+15 0\n", + " 9 693 40.018658 -105.195229 1.1399e+16 4.6996e+15 0\n", + " 10 692 40.040432 -105.260010 1.1765e+16 5.1434e+15 0\n", + " 10 693 40.020088 -105.255058 1.7686e+16 5.9288e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 20:32:04.854905+00:00, HCHO col 1.1715e+16, unc 5.0251e+15\n", + "no negative: averaged time 2024-07-25 20:32:04.854905+00:00, HCHO col 1.1715e+16, unc 5.0251e+15\n", + "no Small: averaged time 2024-07-25 20:32:04.854905+00:00, HCHO col 1.1715e+16, unc 5.0251e+15\n", + "222141693_TEMPO_HCHO_L2_V04_20240725T213105Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046806 -105.211166 7.3082e+15 4.9883e+15 0\n", + " 9 693 40.026356 -105.206177 1.0166e+16 5.8932e+15 0\n", + " 10 692 40.047928 -105.270103 1.0363e+16 4.8569e+15 0\n", + " 10 693 40.027657 -105.265182 1.9993e+15 6.9264e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 21:32:04.421481+00:00, HCHO col 4.9307e+15, unc 5.9289e+15\n", + "no negative: averaged time 2024-07-25 21:32:04.421481+00:00, HCHO col 4.9307e+15, unc 5.9289e+15\n", + "no Small: averaged time 2024-07-25 21:32:03.721553+00:00, HCHO col 9.2791e+15, unc 5.2461e+15\n", + "222141694_TEMPO_HCHO_L2_V04_20240725T223105Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044445 -105.212273 1.5464e+16 1.0175e+16 0\n", + " 9 693 40.023972 -105.207268 2.0544e+16 7.0819e+15 0\n", + " 10 692 40.045849 -105.272713 3.7240e+16 1.5060e+16 0\n", + " 10 693 40.025566 -105.267784 1.9691e+16 8.9883e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 22:32:04.292228+00:00, HCHO col 2.0203e+16, unc 1.0430e+16\n", + "no negative: averaged time 2024-07-25 22:32:04.292228+00:00, HCHO col 2.0203e+16, unc 1.0430e+16\n", + "no Small: averaged time 2024-07-25 22:32:04.292228+00:00, HCHO col 2.0203e+16, unc 1.0430e+16\n", + "222141695_TEMPO_HCHO_L2_V04_20240725T231110Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.048080 -105.213341 2.0459e+16 3.8941e+15 0\n", + " 9 693 40.027672 -105.208374 6.7403e+15 4.4557e+15 0\n", + " 10 692 40.049377 -105.272789 7.2835e+15 5.0607e+15 0\n", + " 10 693 40.029144 -105.267891 2.0300e+16 4.7963e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 23:12:12.325373+00:00, HCHO col 1.9984e+16, unc 4.3865e+15\n", + "no negative: averaged time 2024-07-25 23:12:12.325373+00:00, HCHO col 1.9984e+16, unc 4.3865e+15\n", + "no Small: averaged time 2024-07-25 23:12:12.325373+00:00, HCHO col 1.9984e+16, unc 4.3865e+15\n", + "222141696_TEMPO_HCHO_L2_V04_20240725T235115Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.051975 -105.237190 1.4746e+16 1.2314e+16 0\n", + " 10 693 40.031540 -105.232201 1.8076e+16 8.8716e+15 0\n", + " 11 692 40.051235 -105.295456 1.2822e+16 5.0874e+15 0\n", + " 11 693 40.032089 -105.291115 1.3867e+16 5.3113e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-25 23:52:16.146515+00:00, HCHO col 1.6520e+16, unc 9.3571e+15\n", + "no negative: averaged time 2024-07-25 23:52:16.146515+00:00, HCHO col 1.6520e+16, unc 9.3571e+15\n", + "no Small: averaged time 2024-07-25 23:52:16.146515+00:00, HCHO col 1.6520e+16, unc 9.3571e+15\n", + "jobID = 40b4cbeb-8668-4df2-93db-2c9faa861115\n" ] }, { @@ -4059,148 +4219,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448078_TEMPO_HCHO_L2_V04_20240726T112429Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.028400 -76.316956 2.0506e+16 1.6237e+16 0\n", - " 10 847 37.009068 -76.321358 5.7656e+15 2.0428e+16 0\n", - " 11 846 37.026707 -76.372253 3.4129e+16 2.0952e+16 0\n", - " 11 847 37.007374 -76.376640 4.4206e+16 2.7978e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 11:25:58.669879+00:00, HCHO col 1.9165e+16, unc 1.9402e+16\n", - "no negative: averaged time 2024-07-26 11:25:58.669879+00:00, HCHO col 1.9165e+16, unc 1.9402e+16\n", - "no Small: averaged time 2024-07-26 11:25:59.708748+00:00, HCHO col 3.2947e+16, unc 2.1722e+16\n", - "178448077_TEMPO_HCHO_L2_V04_20240726T104424Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.027470 -76.296303 -1.8606e+16 3.4245e+16 1\n", - " 10 847 37.008133 -76.300697 6.0126e+16 3.1683e+16 1\n", - " 11 846 37.025993 -76.356659 -1.4463e+16 3.5948e+16 1\n", - " 11 847 37.006657 -76.361038 1.2356e+15 3.0974e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222141823_TEMPO_HCHO_L2_V04_20240726T003120Z_S017G04_subsetted.nc\n", + "./222141824_TEMPO_HCHO_L2_V04_20240726T011125Z_S018G04_subsetted.nc\n", + "./222141825_TEMPO_HCHO_L2_V04_20240726T143122Z_S006G07_subsetted.nc\n", + "./222141826_TEMPO_HCHO_L2_V04_20240726T153122Z_S007G07_subsetted.nc\n", + "./222141827_TEMPO_HCHO_L2_V04_20240726T163122Z_S008G07_subsetted.nc\n", + "./222141828_TEMPO_HCHO_L2_V04_20240726T173122Z_S009G07_subsetted.nc\n", + "./222141829_TEMPO_HCHO_L2_V04_20240726T183122Z_S010G07_subsetted.nc\n", + "./222141830_TEMPO_HCHO_L2_V04_20240726T193122Z_S011G07_subsetted.nc\n", + "./222141831_TEMPO_HCHO_L2_V04_20240726T203122Z_S012G07_subsetted.nc\n", + "./222141833_TEMPO_HCHO_L2_V04_20240726T223122Z_S014G07_subsetted.nc\n", + "./222141832_TEMPO_HCHO_L2_V04_20240726T213122Z_S013G07_subsetted.nc\n", + "./222141834_TEMPO_HCHO_L2_V04_20240726T231127Z_S015G04_subsetted.nc\n", + "./222141835_TEMPO_HCHO_L2_V04_20240726T235132Z_S016G04_subsetted.nc\n", + "Number of result files: 13\n", + "222141823_TEMPO_HCHO_L2_V04_20240726T003120Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.044891 -105.196144 2.9011e+16 8.5163e+15 0\n", + " 9 694 40.024174 -105.191025 7.2227e+15 5.4112e+15 0\n", + " 10 693 40.046135 -105.255615 9.4659e+15 5.6423e+15 0\n", + " 10 694 40.025810 -105.250687 6.1399e+15 5.4914e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 00:32:23.162392+00:00, HCHO col 1.1898e+16, unc 6.1396e+15\n", + "no negative: averaged time 2024-07-26 00:32:23.162392+00:00, HCHO col 1.1898e+16, unc 6.1396e+15\n", + "no Small: averaged time 2024-07-26 00:32:23.162392+00:00, HCHO col 1.1898e+16, unc 6.1396e+15\n", + "222141824_TEMPO_HCHO_L2_V04_20240726T011125Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.047409 -105.232491 2.9359e+16 1.2666e+16 1\n", + " 10 693 40.026955 -105.227501 1.5753e+16 1.3130e+16 1\n", + " 11 692 40.046665 -105.290436 2.0626e+16 1.3260e+16 1\n", + " 11 693 40.027081 -105.285866 -1.7192e+15 3.1030e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141825_TEMPO_HCHO_L2_V04_20240726T143122Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.056526 -105.245934 7.3745e+15 1.0138e+16 0\n", + " 10 692 40.036060 -105.240944 7.1279e+15 1.4293e+16 0\n", + " 11 691 40.055470 -105.304398 -7.7390e+15 2.8819e+16 0\n", + " 11 692 40.035805 -105.299797 1.2922e+16 1.6227e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 14:32:16.715335+00:00, HCHO col 7.2146e+15, unc 1.4023e+16\n", + "no negative: averaged time 2024-07-26 14:32:16.715335+00:00, HCHO col 7.2146e+15, unc 1.4023e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141826_TEMPO_HCHO_L2_V04_20240726T153122Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.038948 -105.219147 4.7818e+15 1.7044e+16 0\n", + " 10 692 40.018528 -105.214180 1.1647e+16 6.7360e+16 0\n", + " 11 691 40.040356 -105.278740 1.7637e+16 2.5431e+16 0\n", + " 11 692 40.020172 -105.273880 4.0145e+16 7.4642e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 15:32:14.828418+00:00, HCHO col 1.2045e+16, unc 2.5202e+16\n", + "no negative: averaged time 2024-07-26 15:32:14.828418+00:00, HCHO col 1.2045e+16, unc 2.5202e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141827_TEMPO_HCHO_L2_V04_20240726T163122Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.040279 -105.190567 1.6247e+16 1.4100e+16 0\n", + " 9 692 40.019417 -105.185387 2.3671e+16 8.6443e+15 0\n", + " 10 691 40.041759 -105.249390 1.1657e+16 4.2346e+15 0\n", + " 10 692 40.021420 -105.244453 1.1255e+16 4.3814e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 16:32:16.359277+00:00, HCHO col 1.2075e+16, unc 5.3367e+15\n", + "no negative: averaged time 2024-07-26 16:32:16.359277+00:00, HCHO col 1.2075e+16, unc 5.3367e+15\n", + "no Small: averaged time 2024-07-26 16:32:16.359277+00:00, HCHO col 1.2075e+16, unc 5.3367e+15\n", + "222141828_TEMPO_HCHO_L2_V04_20240726T173122Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.049919 -105.186455 1.2116e+16 4.6400e+15 0\n", + " 9 693 40.029259 -105.181374 -4.1456e+15 1.2922e+16 0\n", + " 10 692 40.051311 -105.245888 5.4105e+15 2.0426e+16 0\n", + " 10 693 40.030918 -105.240913 6.7894e+15 1.5643e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 17:32:19.689195+00:00, HCHO col 6.4024e+15, unc 1.7051e+16\n", + "no negative: averaged time 2024-07-26 17:32:19.689195+00:00, HCHO col 6.4024e+15, unc 1.7051e+16\n", + "no Small: averaged time 2024-07-26 17:32:16.682763+00:00, HCHO col 1.2116e+16, unc 4.6400e+15\n", + "222141829_TEMPO_HCHO_L2_V04_20240726T183122Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.051140 -105.216888 4.1274e+16 1.7641e+17 0\n", + " 9 692 40.030769 -105.211937 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 691 40.051529 -105.275627 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 692 40.031357 -105.270760 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 18:32:16.681344+00:00, HCHO col 4.1274e+16, unc 1.7641e+17\n", + "no negative: averaged time 2024-07-26 18:32:16.681344+00:00, HCHO col 4.1274e+16, unc 1.7641e+17\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141830_TEMPO_HCHO_L2_V04_20240726T193122Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.047813 -105.201416 -5.4374e+15 5.0895e+16 0\n", + " 9 692 40.027225 -105.196365 7.2630e+16 8.7894e+16 0\n", + " 10 691 40.049305 -105.261223 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 692 40.029045 -105.256310 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 19:32:16.680538+00:00, HCHO col 3.3596e+16, unc 6.9395e+16\n", + "no negative: averaged time 2024-07-26 19:32:16.680538+00:00, HCHO col 7.2630e+16, unc 8.7894e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141831_TEMPO_HCHO_L2_V04_20240726T203122Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.055599 -105.227470 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 693 40.035053 -105.222420 -1.0000e+30 -1.0000e+30 -9999\n", + " 11 692 40.056293 -105.286804 -1.0000e+30 -1.0000e+30 -9999\n", + " 11 693 40.036125 -105.281937 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448081_TEMPO_HCHO_L2_V04_20240726T132444Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.029888 -76.326622 1.6963e+16 7.1178e+15 0\n", - " 10 846 37.010551 -76.331017 1.1653e+16 5.0065e+15 0\n", - " 11 845 37.028618 -76.383942 2.1011e+16 1.3205e+16 0\n", - " 11 846 37.009289 -76.388313 1.1956e+16 7.8989e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 13:26:13.092952+00:00, HCHO col 1.4931e+16, unc 6.9222e+15\n", - "no negative: averaged time 2024-07-26 13:26:13.092952+00:00, HCHO col 1.4931e+16, unc 6.9222e+15\n", - "no Small: averaged time 2024-07-26 13:26:13.092952+00:00, HCHO col 1.4931e+16, unc 6.9222e+15\n", - "178448080_TEMPO_HCHO_L2_V04_20240726T124439Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.039619 -76.313324 3.3618e+16 1.7282e+16 0\n", - " 10 846 37.020275 -76.317726 1.3807e+16 2.0815e+16 0\n", - " 11 845 37.038189 -76.370605 2.7339e+16 1.4824e+16 0\n", - " 11 846 37.018845 -76.374992 2.1141e+16 1.3519e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 12:46:08.680760+00:00, HCHO col 1.6399e+16, unc 1.8430e+16\n", - "no negative: averaged time 2024-07-26 12:46:08.680760+00:00, HCHO col 1.6399e+16, unc 1.8430e+16\n", - "no Small: averaged time 2024-07-26 12:46:09.697170+00:00, HCHO col 2.7366e+16, unc 1.5208e+16\n", - "178448079_TEMPO_HCHO_L2_V04_20240726T120434Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.030174 -76.285194 -4.7963e+15 2.8619e+16 0\n", - " 9 846 37.010838 -76.289597 8.0040e+15 3.2574e+16 0\n", - " 10 845 37.028851 -76.342262 2.1180e+16 1.3692e+16 0\n", - " 10 846 37.009518 -76.346649 1.8437e+15 1.5717e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 12:06:02.283911+00:00, HCHO col 1.3276e+16, unc 1.6864e+16\n", - "no negative: averaged time 2024-07-26 12:06:02.283911+00:00, HCHO col 1.3276e+16, unc 1.6864e+16\n", - "no Small: averaged time 2024-07-26 12:06:02.690214+00:00, HCHO col 2.1180e+16, unc 1.3692e+16\n", - "178448082_TEMPO_HCHO_L2_V04_20240726T140452Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.020813 -76.329857 1.5227e+16 8.5172e+15 0\n", - " 10 847 37.001511 -76.334229 2.4907e+16 5.8408e+15 0\n", - " 11 846 37.019085 -76.387741 1.5392e+16 7.7645e+15 0\n", - " 11 847 36.999748 -76.392113 5.7936e+15 7.2567e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 14:06:18.031127+00:00, HCHO col 1.5403e+16, unc 8.3869e+15\n", - "no negative: averaged time 2024-07-26 14:06:18.031127+00:00, HCHO col 1.5403e+16, unc 8.3869e+15\n", - "no Small: averaged time 2024-07-26 14:06:18.031127+00:00, HCHO col 1.5403e+16, unc 8.3869e+15\n", - "178448083_TEMPO_HCHO_L2_V04_20240726T150452Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031475 -76.299362 8.6390e+15 2.5082e+16 0\n", - " 10 846 37.012138 -76.303757 1.6290e+16 1.5754e+16 0\n", - " 11 845 37.029545 -76.356438 3.3823e+16 4.6689e+16 0\n", - " 11 846 37.010216 -76.360817 2.7737e+16 4.1246e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 15:06:16.501209+00:00, HCHO col 2.6244e+16, unc 3.4002e+16\n", - "no negative: averaged time 2024-07-26 15:06:16.501209+00:00, HCHO col 2.6244e+16, unc 3.4002e+16\n", - "no Small: averaged time 2024-07-26 15:06:14.642926+00:00, HCHO col 1.6290e+16, unc 1.5754e+16\n", - "178448085_TEMPO_HCHO_L2_V04_20240726T170452Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.032768 -76.304573 2.0264e+16 6.8358e+15 0\n", - " 10 847 37.013439 -76.308960 7.6705e+15 6.6358e+15 0\n", - " 11 846 37.030979 -76.362305 1.6598e+16 7.6838e+15 0\n", - " 11 847 37.011646 -76.366676 4.8864e+15 7.9920e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 17:06:19.230734+00:00, HCHO col 1.0962e+16, unc 7.2027e+15\n", - "no negative: averaged time 2024-07-26 17:06:19.230734+00:00, HCHO col 1.0962e+16, unc 7.2027e+15\n", - "no Small: averaged time 2024-07-26 17:06:18.696858+00:00, HCHO col 1.4844e+16, unc 7.0518e+15\n", - "178448084_TEMPO_HCHO_L2_V04_20240726T160452Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.032993 -76.281921 1.2021e+16 6.1707e+15 0\n", - " 9 846 37.013664 -76.286316 1.4456e+16 6.2438e+15 0\n", - " 10 845 37.031441 -76.339401 1.6068e+16 5.9140e+15 0\n", - " 10 846 37.012119 -76.343773 1.4445e+16 5.8154e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 16:06:17.408403+00:00, HCHO col 1.5121e+16, unc 5.8963e+15\n", - "no negative: averaged time 2024-07-26 16:06:17.408403+00:00, HCHO col 1.5121e+16, unc 5.8963e+15\n", - "no Small: averaged time 2024-07-26 16:06:17.408403+00:00, HCHO col 1.5121e+16, unc 5.8963e+15\n", - "178448086_TEMPO_HCHO_L2_V04_20240726T180452Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022587 -76.335861 9.3305e+15 4.9425e+15 0\n", - " 10 847 37.003281 -76.340225 1.4178e+16 5.0514e+15 0\n", - " 11 846 37.021111 -76.393471 3.7446e+15 5.9456e+15 0\n", - " 11 847 37.001793 -76.397827 6.8387e+15 5.4143e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 18:06:17.696094+00:00, HCHO col 9.8816e+15, unc 4.9593e+15\n", - "no negative: averaged time 2024-07-26 18:06:17.696094+00:00, HCHO col 9.8816e+15, unc 4.9593e+15\n", - "no Small: averaged time 2024-07-26 18:06:17.696096+00:00, HCHO col 9.8748e+15, unc 4.9568e+15\n", - "178448087_TEMPO_HCHO_L2_V04_20240726T190452Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034489 -76.307259 1.0446e+16 1.0214e+16 0\n", - " 10 846 37.015167 -76.311646 1.6122e+16 6.8867e+15 0\n", - " 11 845 37.032650 -76.363708 5.8387e+15 5.3503e+15 0\n", - " 11 846 37.013325 -76.368080 4.3664e+14 7.1648e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 19:06:19.097363+00:00, HCHO col 1.0484e+16, unc 6.4538e+15\n", - "no negative: averaged time 2024-07-26 19:06:19.097363+00:00, HCHO col 1.0484e+16, unc 6.4538e+15\n", - "no Small: averaged time 2024-07-26 19:06:18.694366+00:00, HCHO col 1.0802e+16, unc 7.4835e+15\n", - "178448088_TEMPO_HCHO_L2_V04_20240726T200452Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.027561 -76.293159 1.1607e+16 7.7402e+15 0\n", - " 10 847 37.008247 -76.297546 1.3246e+16 9.8181e+15 0\n", - " 11 846 37.026009 -76.351028 1.3294e+16 9.5892e+15 0\n", - " 11 847 37.006695 -76.355400 1.9343e+16 1.1759e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 20:06:19.869986+00:00, HCHO col 1.3548e+16, unc 9.7476e+15\n", - "no negative: averaged time 2024-07-26 20:06:19.869986+00:00, HCHO col 1.3548e+16, unc 9.7476e+15\n", - "no Small: averaged time 2024-07-26 20:06:19.869986+00:00, HCHO col 1.3548e+16, unc 9.7476e+15\n", - "178448089_TEMPO_HCHO_L2_V04_20240726T210452Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033916 -76.298119 -8.9345e+15 1.7895e+16 0\n", - " 10 846 37.014599 -76.302505 1.6248e+16 1.7271e+16 0\n", - " 11 845 37.032284 -76.355522 -4.5738e+14 1.0643e+16 0\n", - " 11 846 37.012966 -76.359886 1.1957e+16 1.4899e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 21:06:19.564293+00:00, HCHO col 9.2701e+15, unc 1.4319e+16\n", - "no negative: averaged time 2024-07-26 21:06:19.198457+00:00, HCHO col 1.4103e+16, unc 1.6085e+16\n", + "222141833_TEMPO_HCHO_L2_V04_20240726T223122Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.037560 -105.201637 1.4092e+16 1.4000e+16 0\n", + " 9 694 40.016792 -105.196487 3.4248e+15 2.2100e+16 0\n", + " 10 693 40.039066 -105.260269 -1.4534e+15 2.7683e+16 0\n", + " 10 694 40.018700 -105.255302 1.7771e+15 1.6523e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 22:32:21.814688+00:00, HCHO col 3.4940e+15, unc 2.2878e+16\n", + "no negative: averaged time 2024-07-26 22:32:20.723795+00:00, HCHO col 6.4312e+15, unc 1.7541e+16\n", + "no Small: averaged time 2024-07-26 22:32:19.712772+00:00, HCHO col 1.4092e+16, unc 1.4000e+16\n", + "222141832_TEMPO_HCHO_L2_V04_20240726T213122Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.051800 -105.189522 2.9907e+15 7.5342e+15 0\n", + " 9 692 40.031155 -105.184441 2.7918e+15 7.4291e+15 0\n", + " 10 691 40.053387 -105.248718 -2.6616e+15 8.7688e+15 0\n", + " 10 692 40.033016 -105.243759 2.4625e+16 4.5774e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 21:32:19.564729+00:00, HCHO col 1.8790e+16, unc 3.7429e+16\n", + "no negative: averaged time 2024-07-26 21:32:17.689710+00:00, HCHO col 1.0136e+16, unc 2.0246e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222141834_TEMPO_HCHO_L2_V04_20240726T231127Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.049595 -105.231979 8.1869e+15 6.2953e+15 0\n", + " 10 693 40.029114 -105.226967 9.6597e+15 1.4151e+16 0\n", + " 11 692 40.049980 -105.290436 4.6896e+15 8.2191e+15 0\n", + " 11 693 40.030380 -105.285858 4.1011e+15 6.9673e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 23:12:28.385785+00:00, HCHO col 7.8451e+15, unc 9.4503e+15\n", + "no negative: averaged time 2024-07-26 23:12:28.385785+00:00, HCHO col 7.8451e+15, unc 9.4503e+15\n", + "no Small: averaged time 2024-07-26 23:12:27.713767+00:00, HCHO col 8.1869e+15, unc 6.2953e+15\n", + "222141835_TEMPO_HCHO_L2_V04_20240726T235132Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.051716 -105.226341 4.2720e+15 5.8726e+15 0\n", + " 10 693 40.031242 -105.221329 6.2097e+14 4.9735e+15 0\n", + " 11 692 40.052460 -105.285217 6.7678e+14 6.1199e+15 0\n", + " 11 693 40.032341 -105.280380 -7.4989e+13 5.8208e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-26 23:52:33.704997+00:00, HCHO col 1.4465e+15, unc 5.5085e+15\n", + "no negative: averaged time 2024-07-26 23:52:33.728472+00:00, HCHO col 1.8566e+15, unc 5.6553e+15\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448090_TEMPO_HCHO_L2_V04_20240726T220452Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.025143 -76.328110 2.0620e+16 2.1371e+16 0\n", - " 10 847 37.005848 -76.332474 2.4771e+16 1.0206e+16 0\n", - " 11 846 37.023354 -76.386093 2.7288e+15 1.5112e+16 0\n", - " 11 847 37.004051 -76.390442 2.4658e+16 1.3940e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-26 22:06:21.105945+00:00, HCHO col 1.9315e+16, unc 1.7898e+16\n", - "no negative: averaged time 2024-07-26 22:06:21.105945+00:00, HCHO col 1.9315e+16, unc 1.7898e+16\n", - "no Small: averaged time 2024-07-26 22:06:22.232935+00:00, HCHO col 2.4714e+16, unc 1.2073e+16\n", - "jobID = 44231e4f-91aa-468a-bfc4-27877dfe48fe\n" + "jobID = f0d4e755-41ed-40ff-a43a-012ef75d90b7\n" ] }, { @@ -4214,128 +4377,129 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 12\n", - "178448109_TEMPO_HCHO_L2_V04_20240727T104439Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022636 -76.322372 1.1644e+17 8.2700e+16 1\n", - " 10 847 37.003300 -76.326752 -3.3467e+16 3.9580e+16 1\n", - " 11 846 37.020782 -76.381065 -6.9087e+16 8.2832e+16 1\n", - " 11 847 37.001431 -76.385445 5.4577e+16 7.0151e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222142010_TEMPO_HCHO_L2_V04_20240727T011142Z_S018G04_subsetted.nc\n", + "./222142009_TEMPO_HCHO_L2_V04_20240727T003137Z_S017G04_subsetted.nc\n", + "./222142012_TEMPO_HCHO_L2_V04_20240727T172642Z_S008G03_subsetted.nc\n", + "./222142011_TEMPO_HCHO_L2_V04_20240727T143137Z_S006G07_subsetted.nc\n", + "./222142013_TEMPO_HCHO_L2_V04_20240727T183137Z_S009G07_subsetted.nc\n", + "./222142015_TEMPO_HCHO_L2_V04_20240727T203137Z_S011G07_subsetted.nc\n", + "./222142014_TEMPO_HCHO_L2_V04_20240727T193137Z_S010G07_subsetted.nc\n", + "./222142016_TEMPO_HCHO_L2_V04_20240727T213137Z_S012G07_subsetted.nc\n", + "./222142019_TEMPO_HCHO_L2_V04_20240727T235147Z_S015G04_subsetted.nc\n", + "./222142018_TEMPO_HCHO_L2_V04_20240727T231142Z_S014G04_subsetted.nc\n", + "./222142017_TEMPO_HCHO_L2_V04_20240727T223137Z_S013G07_subsetted.nc\n", + "Number of result files: 11\n", + "222142010_TEMPO_HCHO_L2_V04_20240727T011142Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.049549 -105.232658 2.9140e+16 2.8696e+16 1\n", + " 10 693 40.029064 -105.227646 -2.4213e+15 3.0355e+16 1\n", + " 11 692 40.049107 -105.291496 1.7603e+16 4.6393e+16 1\n", + " 11 693 40.029671 -105.287003 -4.7449e+15 1.8730e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448110_TEMPO_HCHO_L2_V04_20240727T112444Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034706 -76.308022 6.2446e+15 3.8031e+16 0\n", - " 10 846 37.015358 -76.312393 -2.3889e+16 5.2428e+16 0\n", - " 11 845 37.032333 -76.367020 1.3870e+16 5.6710e+16 0\n", - " 11 846 37.012978 -76.371384 8.2467e+14 6.1490e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 11:26:13.989221+00:00, HCHO col -9.1574e+15, unc 5.4879e+16\n", - "no negative: averaged time 2024-07-27 11:26:14.697397+00:00, HCHO col 6.9799e+15, unc 5.2077e+16\n", + "222142009_TEMPO_HCHO_L2_V04_20240727T003137Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038723 -105.229301 1.4287e+16 8.0478e+15 0\n", + " 10 693 40.018322 -105.224335 1.7259e+16 1.6089e+16 0\n", + " 11 692 40.039551 -105.289391 1.1344e+15 2.0979e+16 0\n", + " 11 693 40.019680 -105.284676 8.7857e+15 7.3902e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 00:32:38.379087+00:00, HCHO col 1.1975e+16, unc 9.8930e+15\n", + "no negative: averaged time 2024-07-27 00:32:38.379087+00:00, HCHO col 1.1975e+16, unc 9.8930e+15\n", + "no Small: averaged time 2024-07-27 00:32:38.732338+00:00, HCHO col 1.3444e+16, unc 1.0509e+16\n", + "222142012_TEMPO_HCHO_L2_V04_20240727T172642Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.057861 -105.229362 1.1964e+16 8.3722e+15 0\n", + " 10 692 40.037247 -105.224289 1.2243e+16 2.2141e+16 0\n", + " 11 691 40.057915 -105.287453 7.7997e+15 1.5685e+16 0\n", + " 11 692 40.037758 -105.282600 2.0826e+16 3.0750e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 17:32:40.983129+00:00, HCHO col 1.4845e+16, unc 2.4687e+16\n", + "no negative: averaged time 2024-07-27 17:32:40.983129+00:00, HCHO col 1.4845e+16, unc 2.4687e+16\n", + "no Small: averaged time 2024-07-27 17:32:40.063147+00:00, HCHO col 1.1964e+16, unc 8.3722e+15\n", + "222142011_TEMPO_HCHO_L2_V04_20240727T143137Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.054955 -105.202690 5.5005e+15 4.9471e+15 0\n", + " 9 692 40.034466 -105.197693 1.2007e+16 5.2757e+15 0\n", + " 10 691 40.056328 -105.262024 1.3417e+16 4.6059e+15 0\n", + " 10 692 40.036053 -105.257126 2.6380e+15 5.0757e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 14:32:30.889931+00:00, HCHO col 4.5025e+15, unc 5.0982e+15\n", + "no negative: averaged time 2024-07-27 14:32:30.889931+00:00, HCHO col 4.5025e+15, unc 5.0982e+15\n", + "no Small: averaged time 2024-07-27 14:32:29.663000+00:00, HCHO col 1.0308e+16, unc 4.9429e+15\n", + "222142013_TEMPO_HCHO_L2_V04_20240727T183137Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.044312 -105.215561 -1.2569e+15 5.1502e+15 0\n", + " 9 692 40.023888 -105.210594 1.3662e+16 5.0272e+15 0\n", + " 10 691 40.045170 -105.274757 -8.2078e+14 4.8077e+15 0\n", + " 10 692 40.024887 -105.269836 5.3444e+15 4.7543e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 18:32:33.128136+00:00, HCHO col 1.1454e+15, unc 4.9681e+15\n", + "no negative: averaged time 2024-07-27 18:32:33.200246+00:00, HCHO col 9.5031e+15, unc 4.8907e+15\n", + "no Small: averaged time 2024-07-27 18:32:33.200246+00:00, HCHO col 9.5031e+15, unc 4.8907e+15\n", + "222142015_TEMPO_HCHO_L2_V04_20240727T203137Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.043324 -105.220116 3.5584e+15 4.7662e+16 0\n", + " 10 693 40.022942 -105.215164 -1.7738e+16 5.8179e+16 0\n", + " 11 692 40.044449 -105.279510 -1.6715e+16 4.7634e+16 0\n", + " 11 693 40.024273 -105.274651 3.5574e+16 8.1287e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 20:32:35.909967+00:00, HCHO col 1.1815e+16, unc 5.8104e+16\n", + "no negative: averaged time 2024-07-27 20:32:36.231867+00:00, HCHO col 1.9566e+16, unc 6.4475e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448111_TEMPO_HCHO_L2_V04_20240727T120449Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.025982 -76.290977 6.6891e+13 9.8054e+15 0\n", - " 10 846 37.006649 -76.295372 -4.0004e+15 1.0319e+16 0\n", - " 11 845 37.024223 -76.348129 4.6720e+15 1.3243e+16 0\n", - " 11 846 37.004883 -76.352501 5.9625e+15 9.8383e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 12:06:17.014637+00:00, HCHO col 2.7790e+15, unc 1.2590e+16\n", - "no negative: averaged time 2024-07-27 12:06:17.014925+00:00, HCHO col 3.9520e+15, unc 1.1733e+16\n", + "222142014_TEMPO_HCHO_L2_V04_20240727T193137Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.053322 -105.200966 6.2144e+15 9.6937e+15 0\n", + " 9 692 40.032810 -105.195953 -1.0723e+16 3.0811e+16 0\n", + " 10 691 40.054710 -105.260460 1.5969e+16 3.3213e+16 0\n", + " 10 692 40.034451 -105.255554 -4.4071e+16 4.8489e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 19:32:33.985367+00:00, HCHO col -3.3171e+16, unc 4.0672e+16\n", + "no negative: averaged time 2024-07-27 19:32:33.201454+00:00, HCHO col 1.1092e+16, unc 2.1453e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448113_TEMPO_HCHO_L2_V04_20240727T132459Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021137 -76.330948 6.8621e+15 6.5095e+15 0\n", - " 10 847 37.001831 -76.335327 1.6296e+16 6.9496e+15 0\n", - " 11 846 37.019779 -76.387413 2.0015e+16 7.9252e+15 0\n", - " 11 847 37.000439 -76.391785 8.2378e+15 7.0527e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 13:26:27.979667+00:00, HCHO col 8.4860e+15, unc 6.6632e+15\n", - "no negative: averaged time 2024-07-27 13:26:27.979667+00:00, HCHO col 8.4860e+15, unc 6.6632e+15\n", - "no Small: averaged time 2024-07-27 13:26:27.979667+00:00, HCHO col 8.4860e+15, unc 6.6632e+15\n", - "178448112_TEMPO_HCHO_L2_V04_20240727T124454Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.022930 -76.287254 6.9627e+14 7.6329e+15 0\n", - " 9 847 37.003593 -76.291649 -4.7903e+15 6.0065e+15 1\n", - " 10 846 37.021446 -76.344391 1.8660e+16 8.1982e+15 0\n", - " 10 847 37.002113 -76.348770 -1.7758e+15 8.0392e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 12:46:22.251845+00:00, HCHO col 1.4680e+16, unc 8.1069e+15\n", - "no negative: averaged time 2024-07-27 12:46:21.165193+00:00, HCHO col 9.6783e+15, unc 7.9155e+15\n", - "no Small: averaged time 2024-07-27 12:46:22.681734+00:00, HCHO col 1.8660e+16, unc 8.1982e+15\n", - "178448114_TEMPO_HCHO_L2_V04_20240727T140507Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.039383 -76.282089 3.7876e+15 4.6914e+15 0\n", - " 9 846 37.020050 -76.286491 3.0269e+15 5.3835e+15 0\n", - " 10 845 37.037327 -76.338982 1.5152e+16 6.2136e+15 0\n", - " 10 846 37.017998 -76.343361 6.6497e+15 4.7987e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 14:06:32.352149+00:00, HCHO col 7.1618e+15, unc 5.0153e+15\n", - "no negative: averaged time 2024-07-27 14:06:32.352149+00:00, HCHO col 7.1618e+15, unc 5.0153e+15\n", - "no Small: averaged time 2024-07-27 14:06:32.687661+00:00, HCHO col 1.0901e+16, unc 5.5061e+15\n", - "178448115_TEMPO_HCHO_L2_V04_20240727T150313Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.029667 -76.299416 1.1260e+16 7.1389e+15 0\n", - " 10 846 37.010334 -76.303802 5.5117e+15 5.5060e+15 0\n", - " 11 845 37.027863 -76.355980 1.3855e+16 5.5970e+15 0\n", - " 11 846 37.008533 -76.360359 4.5423e+15 6.1388e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 15:06:32.542780+00:00, HCHO col 1.0249e+16, unc 5.5902e+15\n", - "no negative: averaged time 2024-07-27 15:06:32.542780+00:00, HCHO col 1.0249e+16, unc 5.5902e+15\n", - "no Small: averaged time 2024-07-27 15:06:31.660163+00:00, HCHO col 1.0209e+16, unc 6.0806e+15\n", - "178448116_TEMPO_HCHO_L2_V04_20240727T180507Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.026882 -76.312378 3.3990e+15 5.5499e+15 0\n", - " 10 846 37.007561 -76.316765 1.1131e+16 5.4424e+15 0\n", - " 11 845 37.024925 -76.369690 1.2384e+16 5.4928e+15 0\n", - " 11 846 37.005608 -76.374062 6.6635e+15 5.2948e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 18:06:33.899199+00:00, HCHO col 9.3110e+15, unc 5.4948e+15\n", - "no negative: averaged time 2024-07-27 18:06:33.899199+00:00, HCHO col 9.3110e+15, unc 5.4948e+15\n", - "no Small: averaged time 2024-07-27 18:06:34.709056+00:00, HCHO col 1.0060e+16, unc 5.4100e+15\n", - "178448118_TEMPO_HCHO_L2_V04_20240727T200507Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034199 -76.294266 -5.3417e+15 5.3926e+15 1\n", - " 10 846 37.014874 -76.298660 9.4101e+15 6.3249e+15 0\n", - " 11 845 37.032589 -76.351562 8.7847e+15 6.1528e+15 0\n", - " 11 846 37.013268 -76.355934 8.1894e+15 5.4338e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 20:06:34.772815+00:00, HCHO col 8.7712e+15, unc 5.9547e+15\n", - "no negative: averaged time 2024-07-27 20:06:34.772815+00:00, HCHO col 8.7712e+15, unc 5.9547e+15\n", - "no Small: averaged time 2024-07-27 20:06:34.772815+00:00, HCHO col 8.7712e+15, unc 5.9547e+15\n", - "178448117_TEMPO_HCHO_L2_V04_20240727T190507Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031391 -76.309174 9.4521e+15 5.7685e+15 0\n", - " 10 846 37.012066 -76.313560 9.9729e+15 6.3827e+15 0\n", - " 11 845 37.029633 -76.365982 -4.2792e+15 5.3184e+15 1\n", - " 11 846 37.010307 -76.370361 8.6126e+15 6.6297e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 19:06:34.027493+00:00, HCHO col 9.1293e+15, unc 6.2054e+15\n", - "no negative: averaged time 2024-07-27 19:06:34.027493+00:00, HCHO col 9.1293e+15, unc 6.2054e+15\n", - "no Small: averaged time 2024-07-27 19:06:34.027493+00:00, HCHO col 9.1293e+15, unc 6.2054e+15\n", - "178448119_TEMPO_HCHO_L2_V04_20240727T210507Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.028183 -76.299400 5.3755e+15 5.9632e+15 0\n", - " 10 846 37.008862 -76.303787 7.9347e+15 6.1511e+15 0\n", - " 11 845 37.026478 -76.356178 1.0712e+16 5.3677e+15 0\n", - " 11 846 37.007156 -76.360550 -2.0046e+15 4.8045e+15 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 21:06:34.590048+00:00, HCHO col 9.6285e+15, unc 5.6555e+15\n", - "no negative: averaged time 2024-07-27 21:06:34.590048+00:00, HCHO col 9.6285e+15, unc 5.6555e+15\n", - "no Small: averaged time 2024-07-27 21:06:34.202008+00:00, HCHO col 9.3232e+15, unc 5.7594e+15\n", - "178448120_TEMPO_HCHO_L2_V04_20240727T220507Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.025455 -76.285950 1.4090e+16 7.0847e+15 0\n", - " 9 847 37.006138 -76.290344 4.6450e+15 7.0469e+15 0\n", - " 10 846 37.023464 -76.342644 1.2583e+16 6.5599e+15 0\n", - " 10 847 37.004150 -76.347015 1.2307e+16 6.8909e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-27 22:06:35.354158+00:00, HCHO col 1.1613e+16, unc 6.6370e+15\n", - "no negative: averaged time 2024-07-27 22:06:35.354158+00:00, HCHO col 1.1613e+16, unc 6.6370e+15\n", - "no Small: averaged time 2024-07-27 22:06:35.354301+00:00, HCHO col 1.2715e+16, unc 6.6813e+15\n", - "jobID = 70dc0bbf-b251-441d-bf6a-9597c2dcef00\n" + "222142016_TEMPO_HCHO_L2_V04_20240727T213137Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.041130 -105.241135 2.9067e+16 4.6478e+16 0\n", + " 10 693 40.020775 -105.236183 8.0976e+15 4.7209e+16 0\n", + " 11 692 40.040405 -105.300041 3.5144e+16 5.0895e+16 0\n", + " 11 693 40.020599 -105.295357 3.6007e+16 1.0709e+17 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 21:32:34.804623+00:00, HCHO col 2.6157e+16, unc 4.8376e+16\n", + "no negative: averaged time 2024-07-27 21:32:34.804623+00:00, HCHO col 2.6157e+16, unc 4.8376e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222142019_TEMPO_HCHO_L2_V04_20240727T235147Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.054054 -105.233376 1.0608e+15 6.3949e+15 0\n", + " 10 693 40.033562 -105.228363 1.4176e+16 8.3740e+15 0\n", + " 11 692 40.053288 -105.292007 4.3598e+15 6.7966e+15 0\n", + " 11 693 40.033947 -105.287560 5.1452e+15 6.7370e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 23:52:48.373251+00:00, HCHO col 9.7718e+15, unc 7.6506e+15\n", + "no negative: averaged time 2024-07-27 23:52:48.373251+00:00, HCHO col 9.7718e+15, unc 7.6506e+15\n", + "no Small: averaged time 2024-07-27 23:52:47.722853+00:00, HCHO col 1.4176e+16, unc 8.3740e+15\n", + "222142018_TEMPO_HCHO_L2_V04_20240727T231142Z_S014G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.056141 -105.188583 -1.8509e+15 6.5862e+15 0\n", + " 9 692 40.035622 -105.183563 4.7385e+15 1.0581e+16 0\n", + " 10 691 40.056950 -105.247993 -7.6765e+15 1.5893e+16 0\n", + " 10 692 40.036522 -105.243004 -4.0733e+15 4.5948e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 23:12:42.652463+00:00, HCHO col -4.1266e+15, unc 4.4289e+16\n", + "no negative: averaged time 2024-07-27 23:12:39.683064+00:00, HCHO col 4.7385e+15, unc 1.0581e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222142017_TEMPO_HCHO_L2_V04_20240727T223137Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.055744 -105.222137 4.7623e+15 3.2632e+16 0\n", + " 10 693 40.035236 -105.217117 5.4011e+16 1.3107e+17 0\n", + " 11 692 40.056797 -105.281555 -8.9461e+14 4.1830e+16 0\n", + " 11 693 40.036652 -105.276703 -2.1134e+16 8.2064e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-27 22:32:35.960618+00:00, HCHO col 1.9110e+16, unc 1.0287e+17\n", + "no negative: averaged time 2024-07-27 22:32:34.714992+00:00, HCHO col 2.9386e+16, unc 8.1850e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "jobID = 9fdbee10-fa04-477f-bcb0-ad74b9ae8e3b\n" ] }, { @@ -4349,148 +4513,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448270_TEMPO_HCHO_L2_V04_20240728T104456Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.026524 -76.327728 3.6324e+16 2.7222e+16 1\n", - " 10 846 37.007191 -76.332100 1.6819e+16 1.1695e+16 1\n", - " 11 845 37.025093 -76.384270 6.0325e+16 3.2553e+16 1\n", - " 11 846 37.005749 -76.388634 7.0571e+16 3.5766e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222142190_TEMPO_HCHO_L2_V04_20240728T003152Z_S016G04_subsetted.nc\n", + "./222142191_TEMPO_HCHO_L2_V04_20240728T011157Z_S017G04_subsetted.nc\n", + "./222142192_TEMPO_HCHO_L2_V04_20240728T143154Z_S006G07_subsetted.nc\n", + "./222142193_TEMPO_HCHO_L2_V04_20240728T153154Z_S007G07_subsetted.nc\n", + "./222142194_TEMPO_HCHO_L2_V04_20240728T163154Z_S008G07_subsetted.nc\n", + "./222142195_TEMPO_HCHO_L2_V04_20240728T173154Z_S009G07_subsetted.nc\n", + "./222142196_TEMPO_HCHO_L2_V04_20240728T183154Z_S010G07_subsetted.nc\n", + "./222142197_TEMPO_HCHO_L2_V04_20240728T193154Z_S011G07_subsetted.nc\n", + "./222142198_TEMPO_HCHO_L2_V04_20240728T203154Z_S012G07_subsetted.nc\n", + "./222142201_TEMPO_HCHO_L2_V04_20240728T231159Z_S015G04_subsetted.nc\n", + "./222142199_TEMPO_HCHO_L2_V04_20240728T213154Z_S013G07_subsetted.nc\n", + "./222142200_TEMPO_HCHO_L2_V04_20240728T223154Z_S014G07_subsetted.nc\n", + "./222142202_TEMPO_HCHO_L2_V04_20240728T235204Z_S016G04_subsetted.nc\n", + "Number of result files: 13\n", + "222142190_TEMPO_HCHO_L2_V04_20240728T003152Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.043064 -105.194038 3.6252e+15 3.9267e+16 0\n", + " 9 693 40.022285 -105.188889 3.3772e+16 5.4611e+16 0\n", + " 10 692 40.044441 -105.252686 3.6228e+16 3.2784e+16 0\n", + " 10 693 40.024094 -105.247726 6.5382e+15 4.3708e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 00:32:52.245674+00:00, HCHO col 2.1381e+16, unc 3.7396e+16\n", + "no negative: averaged time 2024-07-28 00:32:52.245674+00:00, HCHO col 2.1381e+16, unc 3.7396e+16\n", + "no Small: averaged time 2024-07-28 00:32:52.713489+00:00, HCHO col 3.6228e+16, unc 3.2784e+16\n", + "222142191_TEMPO_HCHO_L2_V04_20240728T011157Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.056847 -105.207771 3.3497e+16 5.4083e+16 1\n", + " 9 692 40.036392 -105.202782 3.9446e+16 4.3386e+16 1\n", + " 10 691 40.057373 -105.266502 7.3297e+16 3.9555e+16 1\n", + " 10 692 40.037174 -105.261627 1.2742e+15 6.8448e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448271_TEMPO_HCHO_L2_V04_20240728T112501Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036617 -76.325760 3.4563e+15 1.2721e+16 0\n", - " 10 846 37.017281 -76.330139 1.9173e+16 1.0907e+16 0\n", - " 11 845 37.035500 -76.383217 1.4767e+16 1.2308e+16 0\n", - " 11 846 37.016174 -76.387581 -8.5479e+15 1.6033e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 11:26:30.057507+00:00, HCHO col 1.8018e+16, unc 1.1152e+16\n", - "no negative: averaged time 2024-07-28 11:26:30.057507+00:00, HCHO col 1.8018e+16, unc 1.1152e+16\n", - "no Small: averaged time 2024-07-28 11:26:31.195212+00:00, HCHO col 1.6970e+16, unc 1.1608e+16\n", - "178448272_TEMPO_HCHO_L2_V04_20240728T120506Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035313 -76.298103 6.6355e+15 6.0010e+15 0\n", - " 10 846 37.015980 -76.302498 1.1943e+16 6.5557e+15 0\n", - " 11 845 37.033539 -76.354866 1.6353e+16 6.2755e+15 0\n", - " 11 846 37.014206 -76.359245 7.6400e+15 5.6443e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 12:06:33.536635+00:00, HCHO col 1.1709e+16, unc 6.1654e+15\n", - "no negative: averaged time 2024-07-28 12:06:33.536635+00:00, HCHO col 1.1709e+16, unc 6.1654e+15\n", - "no Small: averaged time 2024-07-28 12:06:33.536635+00:00, HCHO col 1.1709e+16, unc 6.1654e+15\n", - "178448274_TEMPO_HCHO_L2_V04_20240728T132516Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.025162 -76.292397 1.2593e+16 5.0828e+15 0\n", - " 10 847 37.005836 -76.296791 1.8676e+16 4.9381e+15 0\n", - " 11 846 37.023888 -76.349258 1.7069e+16 5.1548e+15 0\n", - " 11 847 37.004555 -76.353645 7.3099e+15 4.4502e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 13:26:43.964487+00:00, HCHO col 1.7228e+16, unc 5.1085e+15\n", - "no negative: averaged time 2024-07-28 13:26:43.964487+00:00, HCHO col 1.7228e+16, unc 5.1085e+15\n", - "no Small: averaged time 2024-07-28 13:26:43.964487+00:00, HCHO col 1.7228e+16, unc 5.1085e+15\n", - "178448275_TEMPO_HCHO_L2_V04_20240728T140524Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035332 -76.295715 1.6227e+16 4.7973e+15 0\n", - " 10 846 37.015995 -76.300117 7.9168e+15 5.0636e+15 0\n", - " 11 845 37.034138 -76.353020 1.4795e+16 4.9620e+15 0\n", - " 11 846 37.014812 -76.357407 1.2461e+16 5.7023e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 14:06:48.648471+00:00, HCHO col 1.1516e+16, unc 5.2885e+15\n", - "no negative: averaged time 2024-07-28 14:06:48.648471+00:00, HCHO col 1.1516e+16, unc 5.2885e+15\n", - "no Small: averaged time 2024-07-28 14:06:48.648471+00:00, HCHO col 1.1516e+16, unc 5.2885e+15\n", - "178448276_TEMPO_HCHO_L2_V04_20240728T150524Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.029804 -76.318077 1.0111e+16 5.5168e+15 0\n", - " 10 846 37.010464 -76.322472 1.8432e+16 8.8161e+15 0\n", - " 11 845 37.028217 -76.375175 1.0507e+16 5.1814e+15 0\n", - " 11 846 37.008881 -76.379562 1.2791e+16 1.2315e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 15:06:47.526246+00:00, HCHO col 1.4118e+16, unc 6.9633e+15\n", - "no negative: averaged time 2024-07-28 15:06:47.526246+00:00, HCHO col 1.4118e+16, unc 6.9633e+15\n", - "no Small: averaged time 2024-07-28 15:06:47.526246+00:00, HCHO col 1.4118e+16, unc 6.9633e+15\n", - "178448273_TEMPO_HCHO_L2_V04_20240728T124511Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 847 37.024158 -76.287590 1.4908e+16 4.1734e+15 0\n", - " 9 848 37.004829 -76.291992 1.0685e+16 4.2700e+15 0\n", - " 10 847 37.022526 -76.344307 1.2541e+16 4.7187e+15 0\n", - " 10 848 37.003197 -76.348694 5.6195e+15 4.5631e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 12:46:39.241669+00:00, HCHO col 1.2348e+16, unc 4.6515e+15\n", - "no negative: averaged time 2024-07-28 12:46:39.241669+00:00, HCHO col 1.2348e+16, unc 4.6515e+15\n", - "no Small: averaged time 2024-07-28 12:46:39.241669+00:00, HCHO col 1.2348e+16, unc 4.6515e+15\n", - "178448278_TEMPO_HCHO_L2_V04_20240728T170524Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036774 -76.323631 1.7398e+16 8.5533e+15 0\n", - " 10 846 37.017437 -76.328033 1.4677e+16 1.2033e+16 0\n", - " 11 845 37.035381 -76.380646 5.7302e+15 7.4775e+15 0\n", - " 11 846 37.016060 -76.385017 -9.3306e+14 7.1391e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 17:06:50.168933+00:00, HCHO col 1.3203e+16, unc 1.1291e+16\n", - "no negative: averaged time 2024-07-28 17:06:50.686810+00:00, HCHO col 1.2602e+16, unc 9.3544e+15\n", - "no Small: averaged time 2024-07-28 17:06:49.675789+00:00, HCHO col 1.6037e+16, unc 1.0293e+16\n", - "178448277_TEMPO_HCHO_L2_V04_20240728T160524Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032986 -76.298393 4.3067e+15 4.2963e+15 0\n", - " 10 846 37.013657 -76.302788 2.3237e+16 5.6284e+15 0\n", - " 11 845 37.030674 -76.355209 9.1904e+15 4.4239e+15 0\n", - " 11 846 37.011349 -76.359589 1.3237e+16 4.8714e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 16:06:48.551340+00:00, HCHO col 1.5267e+16, unc 4.9660e+15\n", - "no negative: averaged time 2024-07-28 16:06:48.551340+00:00, HCHO col 1.5267e+16, unc 4.9660e+15\n", - "no Small: averaged time 2024-07-28 16:06:48.551340+00:00, HCHO col 1.5267e+16, unc 4.9660e+15\n", - "178448280_TEMPO_HCHO_L2_V04_20240728T190524Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033401 -76.332626 4.5069e+15 7.0711e+15 0\n", - " 10 846 37.014088 -76.336998 1.0318e+16 5.2324e+15 0\n", - " 11 845 37.031952 -76.389999 8.7544e+15 6.1437e+16 0\n", - " 11 846 37.012646 -76.394356 1.6482e+13 1.8581e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 19:06:49.744848+00:00, HCHO col 8.5165e+15, unc 6.7870e+15\n", - "no negative: averaged time 2024-07-28 19:06:49.744848+00:00, HCHO col 8.5165e+15, unc 6.7870e+15\n", - "no Small: averaged time 2024-07-28 19:06:49.691245+00:00, HCHO col 1.0318e+16, unc 5.2324e+15\n", - "178448279_TEMPO_HCHO_L2_V04_20240728T180524Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036003 -76.286980 1.3048e+15 4.4426e+15 0\n", - " 10 846 37.016682 -76.291382 6.7767e+15 4.9981e+15 0\n", - " 11 845 37.034519 -76.344200 9.8703e+15 5.6135e+15 0\n", - " 11 846 37.015198 -76.348579 4.8088e+15 6.7360e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 18:06:49.097898+00:00, HCHO col 6.4460e+15, unc 6.1252e+15\n", - "no negative: averaged time 2024-07-28 18:06:49.097898+00:00, HCHO col 6.4460e+15, unc 6.1252e+15\n", - "no Small: averaged time 2024-07-28 18:06:48.158678+00:00, HCHO col 8.3235e+15, unc 5.3058e+15\n", - "178448281_TEMPO_HCHO_L2_V04_20240728T200524Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.037407 -76.307930 1.0485e+16 5.1125e+15 0\n", - " 10 846 37.018078 -76.312317 4.7710e+15 5.0507e+15 0\n", - " 11 845 37.035828 -76.365036 8.3053e+15 5.9034e+15 0\n", - " 11 846 37.016499 -76.369415 4.0366e+15 5.6950e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 20:06:51.014585+00:00, HCHO col 5.0933e+15, unc 5.3636e+15\n", - "no negative: averaged time 2024-07-28 20:06:51.014585+00:00, HCHO col 5.0933e+15, unc 5.3636e+15\n", - "no Small: averaged time 2024-07-28 20:06:51.206152+00:00, HCHO col 9.3949e+15, unc 5.5079e+15\n", - "178448282_TEMPO_HCHO_L2_V04_20240728T210524Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038612 -76.319046 2.6881e+15 5.6651e+15 0\n", - " 10 846 37.019279 -76.323425 1.3669e+16 7.6100e+15 0\n", - " 11 845 37.036835 -76.376312 3.2608e+16 7.1071e+15 0\n", - " 11 846 37.017513 -76.380676 5.0348e+15 7.3406e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 21:06:50.403520+00:00, HCHO col 1.3684e+16, unc 7.5291e+15\n", - "no negative: averaged time 2024-07-28 21:06:50.403520+00:00, HCHO col 1.3684e+16, unc 7.5291e+15\n", - "no Small: averaged time 2024-07-28 21:06:51.204880+00:00, HCHO col 2.3138e+16, unc 7.3585e+15\n", - "178448283_TEMPO_HCHO_L2_V04_20240728T220524Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.028820 -76.290077 1.1386e+16 6.5257e+15 0\n", - " 10 847 37.009499 -76.294479 -5.3468e+14 6.8560e+15 0\n", - " 11 846 37.027340 -76.347343 1.0080e+16 8.5802e+15 0\n", - " 11 847 37.008022 -76.351715 9.3134e+15 7.3533e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-28 22:06:52.064098+00:00, HCHO col 7.6525e+15, unc 8.0049e+15\n", - "no negative: averaged time 2024-07-28 22:06:52.064440+00:00, HCHO col 1.0071e+16, unc 7.6675e+15\n", - "no Small: averaged time 2024-07-28 22:06:52.064440+00:00, HCHO col 1.0071e+16, unc 7.6675e+15\n", - "jobID = f7923a38-cd77-432f-b7a2-4aa76a059b07\n" + "222142192_TEMPO_HCHO_L2_V04_20240728T143154Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.049591 -105.221802 2.9688e+15 5.9448e+15 0\n", + " 10 692 40.029190 -105.216858 1.1965e+16 5.6897e+15 0\n", + " 11 691 40.049652 -105.280556 6.1642e+14 5.8670e+15 0\n", + " 11 692 40.029533 -105.275734 1.5958e+16 5.5762e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 14:32:46.846516+00:00, HCHO col 9.9308e+15, unc 5.7473e+15\n", + "no negative: averaged time 2024-07-28 14:32:46.846516+00:00, HCHO col 9.9308e+15, unc 5.7473e+15\n", + "no Small: averaged time 2024-07-28 14:32:47.169881+00:00, HCHO col 1.3961e+16, unc 5.6330e+15\n", + "222142193_TEMPO_HCHO_L2_V04_20240728T153154Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.037479 -105.217079 4.8139e+15 5.6503e+15 0\n", + " 10 693 40.017002 -105.212097 1.2173e+15 4.8177e+15 0\n", + " 11 692 40.037701 -105.275894 1.1853e+16 5.7298e+15 0\n", + " 11 693 40.017441 -105.270996 9.0440e+15 5.9028e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 15:32:46.935288+00:00, HCHO col 7.7885e+15, unc 5.6846e+15\n", + "no negative: averaged time 2024-07-28 15:32:46.935288+00:00, HCHO col 7.7885e+15, unc 5.6846e+15\n", + "no Small: averaged time 2024-07-28 15:32:48.682292+00:00, HCHO col 1.0449e+16, unc 5.8163e+15\n", + "222142194_TEMPO_HCHO_L2_V04_20240728T163154Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.055378 -105.207153 1.9557e+15 5.3946e+15 0\n", + " 9 692 40.034924 -105.202171 6.2316e+15 4.9545e+15 0\n", + " 10 691 40.056473 -105.266624 1.1330e+16 7.2414e+15 0\n", + " 10 692 40.036270 -105.261757 -1.4827e+14 5.2087e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 16:32:47.652034+00:00, HCHO col 1.6587e+15, unc 5.1589e+15\n", + "no negative: averaged time 2024-07-28 16:32:46.656565+00:00, HCHO col 6.5058e+15, unc 5.8635e+15\n", + "no Small: averaged time 2024-07-28 16:32:47.162077+00:00, HCHO col 8.7808e+15, unc 6.0980e+15\n", + "222142195_TEMPO_HCHO_L2_V04_20240728T173154Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.042820 -105.212341 6.7675e+15 5.6176e+15 0\n", + " 9 693 40.022297 -105.207336 7.1980e+15 5.5456e+15 0\n", + " 10 692 40.043987 -105.271469 4.2169e+15 6.0860e+15 0\n", + " 10 693 40.023666 -105.266533 1.0217e+16 6.1629e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 17:32:50.267579+00:00, HCHO col 7.1779e+15, unc 5.8864e+15\n", + "no negative: averaged time 2024-07-28 17:32:50.267579+00:00, HCHO col 7.1779e+15, unc 5.8864e+15\n", + "no Small: averaged time 2024-07-28 17:32:49.683265+00:00, HCHO col 8.0607e+15, unc 5.7754e+15\n", + "222142196_TEMPO_HCHO_L2_V04_20240728T183154Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.040443 -105.239426 1.0876e+16 5.0926e+15 0\n", + " 10 693 40.020077 -105.234467 3.7102e+15 5.0464e+15 0\n", + " 11 692 40.040157 -105.297974 6.5150e+15 6.2507e+15 0\n", + " 11 693 40.020348 -105.293289 1.7944e+15 5.3800e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 18:32:48.841655+00:00, HCHO col 9.7279e+15, unc 5.1046e+15\n", + "no negative: averaged time 2024-07-28 18:32:48.841655+00:00, HCHO col 9.7279e+15, unc 5.1046e+15\n", + "no Small: averaged time 2024-07-28 18:32:50.188304+00:00, HCHO col 8.6956e+15, unc 5.6717e+15\n", + "222142197_TEMPO_HCHO_L2_V04_20240728T193154Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.052410 -105.231056 8.6419e+15 4.9814e+15 0\n", + " 10 692 40.031906 -105.226044 -5.0195e+15 5.4203e+15 1\n", + " 11 691 40.052380 -105.289597 6.9566e+15 6.3879e+15 0\n", + " 11 692 40.032608 -105.284927 1.4871e+16 5.0934e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 19:32:50.710062+00:00, HCHO col 1.0156e+16, unc 5.4875e+15\n", + "no negative: averaged time 2024-07-28 19:32:50.710062+00:00, HCHO col 1.0156e+16, unc 5.4875e+15\n", + "no Small: averaged time 2024-07-28 19:32:50.710062+00:00, HCHO col 1.0156e+16, unc 5.4875e+15\n", + "222142198_TEMPO_HCHO_L2_V04_20240728T203154Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.043411 -105.208099 -1.2249e+16 5.1267e+15 2\n", + " 9 693 40.022816 -105.203033 -1.0073e+15 5.5245e+15 0\n", + " 10 692 40.044868 -105.267097 6.1990e+15 5.7555e+15 0\n", + " 10 693 40.024563 -105.262169 -1.2150e+15 4.8615e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 20:32:50.708409+00:00, HCHO col 1.3255e+15, unc 5.3805e+15\n", + "no negative: averaged time 2024-07-28 20:32:51.719432+00:00, HCHO col 6.1990e+15, unc 5.7555e+15\n", + "no Small: averaged time 2024-07-28 20:32:51.719432+00:00, HCHO col 6.1990e+15, unc 5.7555e+15\n", + "222142201_TEMPO_HCHO_L2_V04_20240728T231159Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046745 -105.208107 2.9593e+15 5.1932e+15 0\n", + " 9 693 40.026226 -105.203087 -2.0367e+15 5.5602e+15 0\n", + " 10 692 40.048008 -105.267418 2.9812e+15 6.3869e+15 0\n", + " 10 693 40.027729 -105.262505 1.4935e+16 5.7211e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 23:12:58.543426+00:00, HCHO col 8.8782e+15, unc 5.5952e+15\n", + "no negative: averaged time 2024-07-28 23:12:58.543426+00:00, HCHO col 8.8782e+15, unc 5.5952e+15\n", + "no Small: averaged time 2024-07-28 23:12:59.719127+00:00, HCHO col 1.4935e+16, unc 5.7211e+15\n", + "222142199_TEMPO_HCHO_L2_V04_20240728T213154Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.037663 -105.228905 2.4237e+15 5.3392e+15 0\n", + " 10 693 40.017250 -105.223930 3.8315e+15 5.2237e+15 0\n", + " 11 692 40.037994 -105.287598 7.5017e+15 6.3105e+15 0\n", + " 11 693 40.017982 -105.282806 5.4332e+15 6.2325e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 21:32:49.364398+00:00, HCHO col 3.5371e+15, unc 5.5559e+15\n", + "no negative: averaged time 2024-07-28 21:32:49.364398+00:00, HCHO col 3.5371e+15, unc 5.5559e+15\n", + "no Small: averaged time 2024-07-28 21:32:51.717797+00:00, HCHO col 7.5017e+15, unc 6.3105e+15\n", + "222142200_TEMPO_HCHO_L2_V04_20240728T223154Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 693 40.037746 -105.228935 8.2691e+15 5.0316e+15 0\n", + " 10 694 40.017334 -105.223961 5.5438e+15 5.1834e+15 0\n", + " 11 693 40.038357 -105.288010 8.0804e+15 5.2579e+15 0\n", + " 11 694 40.018368 -105.283241 1.5573e+16 5.6179e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 22:32:52.393161+00:00, HCHO col 8.3704e+15, unc 5.0889e+15\n", + "no negative: averaged time 2024-07-28 22:32:52.393161+00:00, HCHO col 8.3704e+15, unc 5.0889e+15\n", + "no Small: averaged time 2024-07-28 22:32:52.393161+00:00, HCHO col 8.3704e+15, unc 5.0889e+15\n", + "222142202_TEMPO_HCHO_L2_V04_20240728T235204Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.054401 -105.204811 1.0127e+16 6.3470e+15 0\n", + " 9 693 40.033939 -105.199821 9.9329e+15 5.1649e+15 0\n", + " 10 692 40.055599 -105.264267 2.4076e+15 6.9861e+15 0\n", + " 10 693 40.035362 -105.259369 1.5027e+16 6.3982e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-28 23:53:03.806812+00:00, HCHO col 1.3512e+16, unc 6.1738e+15\n", + "no negative: averaged time 2024-07-28 23:53:03.806812+00:00, HCHO col 1.3512e+16, unc 6.1738e+15\n", + "no Small: averaged time 2024-07-28 23:53:03.806812+00:00, HCHO col 1.3512e+16, unc 6.1738e+15\n", + "jobID = ec4165a4-5a74-4be9-8e2f-667a9f7ce1e9\n" ] }, { @@ -4504,148 +4671,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448385_TEMPO_HCHO_L2_V04_20240729T104512Z_S001G03_subsetted.nc\n", + "./222142311_TEMPO_HCHO_L2_V04_20240729T011214Z_S018G04_subsetted.nc\n", + "./222142310_TEMPO_HCHO_L2_V04_20240729T003209Z_S017G04_subsetted.nc\n", + "./222142312_TEMPO_HCHO_L2_V04_20240729T143210Z_S006G07_subsetted.nc\n", + "./222142313_TEMPO_HCHO_L2_V04_20240729T153210Z_S007G07_subsetted.nc\n", + "./222142314_TEMPO_HCHO_L2_V04_20240729T163210Z_S008G07_subsetted.nc\n", + "./222142315_TEMPO_HCHO_L2_V04_20240729T173210Z_S009G07_subsetted.nc\n", + "./222142317_TEMPO_HCHO_L2_V04_20240729T193210Z_S011G07_subsetted.nc\n", + "./222142316_TEMPO_HCHO_L2_V04_20240729T183210Z_S010G07_subsetted.nc\n", + "./222142318_TEMPO_HCHO_L2_V04_20240729T203210Z_S012G07_subsetted.nc\n", + "./222142319_TEMPO_HCHO_L2_V04_20240729T213210Z_S013G07_subsetted.nc\n", + "./222142322_TEMPO_HCHO_L2_V04_20240729T235220Z_S016G04_subsetted.nc\n", + "./222142321_TEMPO_HCHO_L2_V04_20240729T231215Z_S015G04_subsetted.nc\n", + "./222142320_TEMPO_HCHO_L2_V04_20240729T223210Z_S014G07_subsetted.nc\n", + "Number of result files: 13\n", + "222142311_TEMPO_HCHO_L2_V04_20240729T011214Z_S018G04_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031250 -76.297798 9.4437e+16 5.2987e+16 1\n", - " 10 846 37.011909 -76.302193 3.2210e+16 5.6247e+16 1\n", - " 11 845 37.029682 -76.355370 4.6897e+16 3.8656e+16 1\n", - " 11 846 37.010342 -76.359749 -4.0389e+15 4.0661e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 10 691 40.053257 -105.236763 1.4663e+16 8.4364e+15 1\n", + " 10 692 40.032806 -105.231766 1.8551e+16 8.9883e+15 1\n", + " 11 691 40.052048 -105.295212 2.0294e+16 9.2317e+15 1\n", + " 11 692 40.032928 -105.290878 1.3240e+16 9.9816e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448386_TEMPO_HCHO_L2_V04_20240729T112517Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026077 -76.296944 2.8901e+16 2.6365e+16 0\n", - " 10 847 37.006741 -76.301323 3.0947e+16 1.8754e+16 0\n", - " 11 846 37.024181 -76.353622 7.1689e+15 2.6010e+16 0\n", - " 11 847 37.004845 -76.357986 1.1619e+16 1.3949e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 11:26:44.715593+00:00, HCHO col 1.4560e+16, unc 2.4358e+16\n", - "no negative: averaged time 2024-07-29 11:26:44.715593+00:00, HCHO col 1.4560e+16, unc 2.4358e+16\n", - "no Small: averaged time 2024-07-29 11:26:42.647777+00:00, HCHO col 2.9924e+16, unc 2.2559e+16\n", - "178448387_TEMPO_HCHO_L2_V04_20240729T120522Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022686 -76.295784 -5.6646e+15 1.2539e+17 0\n", - " 10 847 37.003361 -76.300179 4.0228e+15 9.2366e+16 0\n", - " 11 846 37.020412 -76.352127 3.5825e+16 4.8029e+16 0\n", - " 11 847 37.001083 -76.356499 6.7044e+16 6.7426e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 12:06:49.839078+00:00, HCHO col 2.4640e+16, unc 6.8306e+16\n", - "no negative: averaged time 2024-07-29 12:06:49.673040+00:00, HCHO col 3.5631e+16, unc 6.9274e+16\n", + "222142310_TEMPO_HCHO_L2_V04_20240729T003209Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.054798 -105.222786 2.3613e+16 6.3982e+15 0\n", + " 10 692 40.034317 -105.217781 4.8245e+15 7.0304e+15 0\n", + " 11 691 40.055729 -105.283165 3.4384e+15 6.4927e+15 0\n", + " 11 692 40.035580 -105.278305 1.8870e+16 6.8929e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 00:33:07.860125+00:00, HCHO col 1.2761e+16, unc 6.8938e+15\n", + "no negative: averaged time 2024-07-29 00:33:07.860125+00:00, HCHO col 1.2761e+16, unc 6.8938e+15\n", + "no Small: averaged time 2024-07-29 00:33:08.195924+00:00, HCHO col 2.1241e+16, unc 6.6456e+15\n", + "222142312_TEMPO_HCHO_L2_V04_20240729T143210Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.047729 -105.236946 1.0688e+16 6.2590e+15 0\n", + " 10 693 40.027302 -105.231972 -5.4500e+15 5.9197e+15 1\n", + " 11 692 40.046974 -105.295593 1.0273e+16 7.3742e+15 0\n", + " 11 693 40.027603 -105.291145 -2.0366e+15 7.9799e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 14:33:03.677656+00:00, HCHO col 6.3084e+15, unc 7.2043e+15\n", + "no negative: averaged time 2024-07-29 14:33:03.172140+00:00, HCHO col 1.0481e+16, unc 6.8166e+15\n", + "no Small: averaged time 2024-07-29 14:33:03.172140+00:00, HCHO col 1.0481e+16, unc 6.8166e+15\n", + "222142313_TEMPO_HCHO_L2_V04_20240729T153210Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038036 -105.237747 8.8194e+15 5.7470e+15 0\n", + " 10 693 40.017632 -105.232788 1.1112e+16 4.9915e+15 0\n", + " 11 692 40.037884 -105.296692 6.6699e+15 7.1101e+15 0\n", + " 11 693 40.017937 -105.291939 8.6858e+15 6.5224e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 15:33:01.876972+00:00, HCHO col 8.7128e+15, unc 5.8327e+15\n", + "no negative: averaged time 2024-07-29 15:33:01.876972+00:00, HCHO col 8.7128e+15, unc 5.8327e+15\n", + "no Small: averaged time 2024-07-29 15:33:02.662725+00:00, HCHO col 9.5390e+15, unc 5.7536e+15\n", + "222142314_TEMPO_HCHO_L2_V04_20240729T163210Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.051113 -105.221603 6.3381e+15 5.1939e+15 0\n", + " 10 692 40.030708 -105.216644 8.5858e+15 5.8873e+15 0\n", + " 11 691 40.052296 -105.281067 8.2919e+15 6.2537e+15 0\n", + " 11 692 40.032177 -105.276245 1.1352e+16 6.0754e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 16:33:02.859794+00:00, HCHO col 9.0090e+15, unc 5.7517e+15\n", + "no negative: averaged time 2024-07-29 16:33:02.859794+00:00, HCHO col 9.0090e+15, unc 5.7517e+15\n", + "no Small: averaged time 2024-07-29 16:33:02.859794+00:00, HCHO col 9.0090e+15, unc 5.7517e+15\n", + "222142315_TEMPO_HCHO_L2_V04_20240729T173210Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.041367 -105.187347 2.1213e+15 5.7438e+15 0\n", + " 9 694 40.020527 -105.182182 9.0365e+15 6.0926e+15 0\n", + " 10 693 40.042252 -105.246628 4.8417e+15 5.6062e+15 0\n", + " 10 694 40.021912 -105.241699 8.9928e+15 4.9813e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 17:33:04.495581+00:00, HCHO col 5.6406e+15, unc 5.4699e+15\n", + "no negative: averaged time 2024-07-29 17:33:04.495581+00:00, HCHO col 5.6406e+15, unc 5.4699e+15\n", + "no Small: averaged time 2024-07-29 17:33:03.157569+00:00, HCHO col 9.0146e+15, unc 5.5370e+15\n", + "222142317_TEMPO_HCHO_L2_V04_20240729T193210Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.051811 -105.202888 9.1169e+15 5.1659e+15 0\n", + " 9 692 40.031300 -105.197876 1.0794e+16 5.2390e+15 0\n", + " 10 691 40.053001 -105.262840 1.0382e+16 5.8155e+15 0\n", + " 10 692 40.032745 -105.257942 1.6207e+16 5.3171e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 19:33:03.802251+00:00, HCHO col 1.4234e+16, unc 5.2763e+15\n", + "no negative: averaged time 2024-07-29 19:33:03.802251+00:00, HCHO col 1.4234e+16, unc 5.2763e+15\n", + "no Small: averaged time 2024-07-29 19:33:03.802251+00:00, HCHO col 1.4234e+16, unc 5.2763e+15\n", + "222142316_TEMPO_HCHO_L2_V04_20240729T183210Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.052860 -105.220718 7.0664e+15 6.0244e+15 0\n", + " 10 692 40.032459 -105.215759 4.3320e+15 5.8503e+15 0\n", + " 11 691 40.053604 -105.279892 7.4752e+15 5.7662e+15 0\n", + " 11 692 40.033489 -105.275055 3.8964e+15 5.7260e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 18:33:02.926079+00:00, HCHO col 4.7646e+15, unc 5.8369e+15\n", + "no negative: averaged time 2024-07-29 18:33:02.926079+00:00, HCHO col 4.7646e+15, unc 5.8369e+15\n", + "no Small: averaged time 2024-07-29 18:33:03.157609+00:00, HCHO col 7.2708e+15, unc 5.8953e+15\n", + "222142318_TEMPO_HCHO_L2_V04_20240729T203210Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.038620 -105.200066 1.1552e+16 4.4089e+15 0\n", + " 9 694 40.017838 -105.194908 5.1595e+15 6.2128e+15 0\n", + " 10 693 40.039742 -105.259247 9.0938e+15 6.5214e+15 0\n", + " 10 694 40.019390 -105.254295 1.9594e+16 5.3433e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 20:33:06.843798+00:00, HCHO col 1.0783e+16, unc 5.8111e+15\n", + "no negative: averaged time 2024-07-29 20:33:06.843798+00:00, HCHO col 1.0783e+16, unc 5.8111e+15\n", + "no Small: averaged time 2024-07-29 20:33:06.843798+00:00, HCHO col 1.0783e+16, unc 5.8111e+15\n", + "222142319_TEMPO_HCHO_L2_V04_20240729T213210Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.049538 -105.200119 9.5012e+15 5.7597e+16 0\n", + " 9 692 40.028950 -105.195068 1.4871e+16 9.2202e+15 0\n", + " 10 691 40.050869 -105.259636 1.7241e+16 5.7391e+16 0\n", + " 10 692 40.030609 -105.254738 2.4935e+16 3.6639e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 21:33:03.937350+00:00, HCHO col 2.0312e+16, unc 4.4079e+16\n", + "no negative: averaged time 2024-07-29 21:33:03.937350+00:00, HCHO col 2.0312e+16, unc 4.4079e+16\n", + "no Small: averaged time 2024-07-29 21:33:01.642313+00:00, HCHO col 1.4871e+16, unc 9.2202e+15\n", + "222142322_TEMPO_HCHO_L2_V04_20240729T235220Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.049572 -105.186630 5.5833e+15 6.8963e+16 0\n", + " 9 693 40.028904 -105.181534 3.6239e+16 4.5790e+16 0\n", + " 10 692 40.050190 -105.246460 1.5209e+16 4.9098e+16 0\n", + " 10 693 40.029804 -105.241493 1.2519e+16 4.9173e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 23:53:17.606323+00:00, HCHO col 1.3316e+16, unc 4.9600e+16\n", + "no negative: averaged time 2024-07-29 23:53:17.606323+00:00, HCHO col 1.3316e+16, unc 4.9600e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448390_TEMPO_HCHO_L2_V04_20240729T140540Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024097 -76.324013 1.5361e+16 4.6678e+15 0\n", - " 10 847 37.004784 -76.328392 1.6758e+16 3.9990e+15 0\n", - " 11 846 37.022808 -76.380157 1.5228e+16 4.2768e+15 0\n", - " 11 847 37.003483 -76.384529 2.2102e+16 4.0626e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 14:07:03.295130+00:00, HCHO col 1.5588e+16, unc 4.4636e+15\n", - "no negative: averaged time 2024-07-29 14:07:03.295130+00:00, HCHO col 1.5588e+16, unc 4.4636e+15\n", - "no Small: averaged time 2024-07-29 14:07:03.295130+00:00, HCHO col 1.5588e+16, unc 4.4636e+15\n", - "178448388_TEMPO_HCHO_L2_V04_20240729T124527Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.023750 -76.302231 1.7736e+16 7.3050e+15 0\n", - " 10 847 37.004410 -76.306633 2.3505e+16 1.4133e+16 0\n", - " 11 846 37.022346 -76.359001 1.0564e+16 5.2731e+15 0\n", - " 11 847 37.003017 -76.363380 1.1930e+16 5.7513e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 12:46:54.458166+00:00, HCHO col 1.4249e+16, unc 7.0194e+15\n", - "no negative: averaged time 2024-07-29 12:46:54.458166+00:00, HCHO col 1.4249e+16, unc 7.0194e+15\n", - "no Small: averaged time 2024-07-29 12:46:54.458166+00:00, HCHO col 1.4249e+16, unc 7.0194e+15\n", - "178448389_TEMPO_HCHO_L2_V04_20240729T132532Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035313 -76.327522 1.1208e+16 4.1003e+15 0\n", - " 10 846 37.015984 -76.331917 1.4882e+16 4.5759e+15 0\n", - " 11 845 37.034065 -76.384163 2.1206e+16 4.4564e+15 0\n", - " 11 846 37.014740 -76.388535 1.1513e+16 3.7265e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 13:26:57.961242+00:00, HCHO col 1.5043e+16, unc 4.5024e+15\n", - "no negative: averaged time 2024-07-29 13:26:57.961242+00:00, HCHO col 1.5043e+16, unc 4.5024e+15\n", - "no Small: averaged time 2024-07-29 13:26:57.961242+00:00, HCHO col 1.5043e+16, unc 4.5024e+15\n", - "178448394_TEMPO_HCHO_L2_V04_20240729T180540Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036686 -76.315376 2.9696e+16 1.3249e+16 0\n", - " 10 846 37.017357 -76.319763 3.0916e+16 1.6053e+16 0\n", - " 11 845 37.034924 -76.372429 2.5899e+16 1.3703e+16 0\n", - " 11 846 37.015594 -76.376808 2.2443e+16 8.3259e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 18:07:03.582000+00:00, HCHO col 2.8922e+16, unc 1.4636e+16\n", - "no negative: averaged time 2024-07-29 18:07:03.582000+00:00, HCHO col 2.8922e+16, unc 1.4636e+16\n", - "no Small: averaged time 2024-07-29 18:07:03.582000+00:00, HCHO col 2.8922e+16, unc 1.4636e+16\n", - "178448393_TEMPO_HCHO_L2_V04_20240729T170540Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.040558 -76.292053 2.7303e+16 2.3774e+16 0\n", - " 10 847 37.021225 -76.296463 8.3318e+15 2.9868e+16 0\n", - " 11 846 37.038857 -76.348427 5.5370e+16 3.2541e+16 0\n", - " 11 847 37.019535 -76.352806 4.6045e+16 3.1290e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 17:07:04.808953+00:00, HCHO col 3.5376e+16, unc 3.0901e+16\n", - "no negative: averaged time 2024-07-29 17:07:04.808953+00:00, HCHO col 3.5376e+16, unc 3.0901e+16\n", - "no Small: averaged time 2024-07-29 17:07:04.666914+00:00, HCHO col 4.2906e+16, unc 2.9201e+16\n", - "178448391_TEMPO_HCHO_L2_V04_20240729T150540Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.034801 -76.281075 1.8596e+16 4.4413e+15 0\n", - " 9 846 37.015472 -76.285477 1.5360e+16 5.7736e+15 0\n", - " 10 845 37.033154 -76.338051 1.0465e+16 4.8850e+15 0\n", - " 10 846 37.013832 -76.342430 1.6740e+16 4.6361e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 15:07:02.420224+00:00, HCHO col 1.4574e+16, unc 4.8055e+15\n", - "no negative: averaged time 2024-07-29 15:07:02.420224+00:00, HCHO col 1.4574e+16, unc 4.8055e+15\n", - "no Small: averaged time 2024-07-29 15:07:02.420224+00:00, HCHO col 1.4574e+16, unc 4.8055e+15\n", - "178448392_TEMPO_HCHO_L2_V04_20240729T160540Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.029411 -76.278053 9.9838e+15 8.4947e+15 0\n", - " 9 846 37.010086 -76.282455 1.8703e+16 5.9980e+15 0\n", - " 10 845 37.027615 -76.335121 1.7851e+16 8.4522e+15 0\n", - " 10 846 37.008301 -76.339500 1.8477e+16 6.8191e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 16:07:02.639191+00:00, HCHO col 1.8089e+16, unc 7.8307e+15\n", - "no negative: averaged time 2024-07-29 16:07:02.639191+00:00, HCHO col 1.8089e+16, unc 7.8307e+15\n", - "no Small: averaged time 2024-07-29 16:07:02.639191+00:00, HCHO col 1.8089e+16, unc 7.8307e+15\n", - "178448395_TEMPO_HCHO_L2_V04_20240729T190540Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033360 -76.312843 3.3924e+16 3.2193e+16 0\n", - " 10 846 37.014030 -76.317230 1.7136e+16 2.6991e+16 0\n", - " 11 845 37.031906 -76.369888 2.2532e+16 9.6384e+15 0\n", - " 11 846 37.012581 -76.374268 1.8257e+16 2.9929e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 19:07:03.753391+00:00, HCHO col 1.9052e+16, unc 2.0927e+16\n", - "no negative: averaged time 2024-07-29 19:07:03.753391+00:00, HCHO col 1.9052e+16, unc 2.0927e+16\n", - "no Small: averaged time 2024-07-29 19:07:04.157946+00:00, HCHO col 2.8228e+16, unc 2.0916e+16\n", - "178448397_TEMPO_HCHO_L2_V04_20240729T210540Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031616 -76.291756 -8.2911e+15 2.7153e+16 0\n", - " 10 846 37.012291 -76.296143 -1.3570e+16 4.2891e+16 0\n", - " 11 845 37.030094 -76.348679 5.6413e+16 8.7572e+16 0\n", - " 11 846 37.010780 -76.353050 4.2986e+16 6.8489e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 21:07:04.912662+00:00, HCHO col 3.5045e+16, unc 7.1049e+16\n", - "no negative: averaged time 2024-07-29 21:07:05.679169+00:00, HCHO col 4.9699e+16, unc 7.8031e+16\n", + "222142321_TEMPO_HCHO_L2_V04_20240729T231215Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.053139 -105.234848 -1.1457e+16 6.2747e+16 0\n", + " 10 693 40.032665 -105.229843 -1.3027e+16 4.6657e+16 0\n", + " 11 692 40.052322 -105.293282 -4.9756e+15 3.9911e+16 0\n", + " 11 693 40.033077 -105.288887 -5.4457e+15 4.2906e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 23:13:13.236686+00:00, HCHO col -1.1250e+16, unc 4.9698e+16\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448396_TEMPO_HCHO_L2_V04_20240729T200540Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.029778 -76.333977 1.8659e+16 2.4981e+16 0\n", - " 10 847 37.010471 -76.338348 -7.2454e+15 6.2354e+16 0\n", - " 11 846 37.028198 -76.391495 4.7424e+16 7.6507e+16 0\n", - " 11 847 37.008896 -76.395851 5.0380e+16 8.2527e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 20:07:05.699415+00:00, HCHO col 6.2002e+15, unc 4.3732e+16\n", - "no negative: averaged time 2024-07-29 20:07:07.696138+00:00, HCHO col 3.8821e+16, unc 6.1338e+16\n", + "222142320_TEMPO_HCHO_L2_V04_20240729T223210Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 693 40.047531 -105.242798 -6.2423e+15 5.8958e+16 0\n", + " 10 694 40.027168 -105.237846 3.2339e+16 4.7441e+16 0\n", + " 11 693 40.046688 -105.300423 1.3870e+16 5.0544e+16 0\n", + " 11 694 40.026722 -105.295647 1.1680e+16 4.1355e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-29 22:33:07.804585+00:00, HCHO col 1.2154e+16, unc 5.3119e+16\n", + "no negative: averaged time 2024-07-29 22:33:09.740672+00:00, HCHO col 1.9296e+16, unc 4.6447e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448398_TEMPO_HCHO_L2_V04_20240729T220540Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.034058 -76.302368 1.3043e+16 1.2458e+16 0\n", - " 10 847 37.014740 -76.306755 2.0063e+16 9.4994e+15 0\n", - " 11 846 37.032776 -76.359154 7.0067e+15 1.1717e+16 0\n", - " 11 847 37.013454 -76.363525 2.8932e+16 1.6676e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-29 22:07:07.360029+00:00, HCHO col 1.7834e+16, unc 1.1843e+16\n", - "no negative: averaged time 2024-07-29 22:07:07.360029+00:00, HCHO col 1.7834e+16, unc 1.1843e+16\n", - "no Small: averaged time 2024-07-29 22:07:07.360309+00:00, HCHO col 2.2670e+16, unc 1.4412e+16\n", - "jobID = a880c92e-b63b-471d-96ba-ea381e734866\n" + "jobID = 01078f63-2522-4222-bd60-7806af99c551\n" ] }, { @@ -4659,138 +4829,118 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 13\n", - "178448402_TEMPO_HCHO_L2_V04_20240730T112533Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034191 -76.325134 2.2276e+16 1.1116e+16 0\n", - " 10 846 37.014847 -76.329514 1.2352e+16 9.5564e+15 0\n", - " 11 845 37.032078 -76.382240 2.0000e+16 8.9071e+15 0\n", - " 11 846 37.012741 -76.386604 2.3419e+16 9.3790e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 11:27:05.158711+00:00, HCHO col 1.4974e+16, unc 9.6965e+15\n", - "no negative: averaged time 2024-07-30 11:27:05.158711+00:00, HCHO col 1.4974e+16, unc 9.6965e+15\n", - "no Small: averaged time 2024-07-30 11:27:05.158711+00:00, HCHO col 1.4974e+16, unc 9.6965e+15\n", - "178448401_TEMPO_HCHO_L2_V04_20240730T104528Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.033318 -76.284836 9.3433e+15 1.2862e+16 1\n", - " 9 846 37.013973 -76.289238 3.9856e+15 1.3583e+16 1\n", - " 10 845 37.031811 -76.341698 1.0698e+16 2.3786e+16 1\n", - " 10 846 37.012463 -76.346077 1.7198e+16 2.6589e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222142401_TEMPO_HCHO_L2_V04_20240730T003225Z_S017G04_subsetted.nc\n", + "./222142402_TEMPO_HCHO_L2_V04_20240730T011230Z_S018G04_subsetted.nc\n", + "./222142403_TEMPO_HCHO_L2_V04_20240730T143226Z_S006G07_subsetted.nc\n", + "./222142404_TEMPO_HCHO_L2_V04_20240730T153226Z_S007G07_subsetted.nc\n", + "./222142405_TEMPO_HCHO_L2_V04_20240730T163226Z_S008G07_subsetted.nc\n", + "./222142406_TEMPO_HCHO_L2_V04_20240730T173226Z_S009G07_subsetted.nc\n", + "./222142407_TEMPO_HCHO_L2_V04_20240730T183226Z_S010G07_subsetted.nc\n", + "./222142408_TEMPO_HCHO_L2_V04_20240730T193226Z_S011G07_subsetted.nc\n", + "./222142409_TEMPO_HCHO_L2_V04_20240730T203226Z_S012G07_subsetted.nc\n", + "./222142410_TEMPO_HCHO_L2_V04_20240730T212719Z_S013G06_subsetted.nc\n", + "Number of result files: 10\n", + "222142401_TEMPO_HCHO_L2_V04_20240730T003225Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.049744 -105.239906 -1.3413e+16 3.4972e+16 0\n", + " 10 692 40.029339 -105.234924 2.2300e+15 2.1697e+16 0\n", + " 11 691 40.049065 -105.298500 1.9336e+15 2.5918e+16 0\n", + " 11 692 40.029457 -105.293915 1.6946e+16 2.1598e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 00:33:29.007053+00:00, HCHO col -2.7502e+15, unc 2.6991e+16\n", + "no negative: averaged time 2024-07-30 00:33:30.767617+00:00, HCHO col 7.0366e+15, unc 2.3071e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222142402_TEMPO_HCHO_L2_V04_20240730T011230Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.039921 -105.228172 2.4412e+16 3.6929e+16 1\n", + " 10 693 40.019527 -105.223213 4.0333e+16 3.1146e+16 1\n", + " 11 692 40.040531 -105.287567 -2.4288e+15 4.1212e+16 1\n", + " 11 693 40.020542 -105.282791 2.5570e+16 6.4147e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448403_TEMPO_HCHO_L2_V04_20240730T120538Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.028835 -76.308708 8.9593e+15 1.6961e+16 0\n", - " 10 847 37.009499 -76.313095 1.5039e+16 2.1693e+16 0\n", - " 11 846 37.027073 -76.364807 2.0738e+16 6.3817e+15 0\n", - " 11 847 37.007736 -76.369186 1.2662e+16 1.4844e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 12:07:11.128948+00:00, HCHO col 1.6873e+16, unc 1.3919e+16\n", - "no negative: averaged time 2024-07-30 12:07:11.128948+00:00, HCHO col 1.6873e+16, unc 1.3919e+16\n", - "no Small: averaged time 2024-07-30 12:07:12.748628+00:00, HCHO col 2.0738e+16, unc 6.3817e+15\n", - "178448404_TEMPO_HCHO_L2_V04_20240730T124543Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.028057 -76.314140 8.9835e+15 5.7169e+15 0\n", - " 10 847 37.008732 -76.318535 1.1389e+16 8.6670e+15 0\n", - " 11 846 37.026207 -76.371376 1.6874e+16 5.6741e+15 0\n", - " 11 847 37.006874 -76.375755 1.8538e+16 4.9438e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 12:47:15.823107+00:00, HCHO col 1.2739e+16, unc 6.7826e+15\n", - "no negative: averaged time 2024-07-30 12:47:15.823107+00:00, HCHO col 1.2739e+16, unc 6.7826e+15\n", - "no Small: averaged time 2024-07-30 12:47:15.823107+00:00, HCHO col 1.2739e+16, unc 6.7826e+15\n", - "178448405_TEMPO_HCHO_L2_V04_20240730T132548Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.023735 -76.324303 2.4446e+16 5.6447e+15 0\n", - " 10 847 37.004425 -76.328690 1.1194e+16 3.7088e+15 0\n", - " 11 846 37.021587 -76.382095 1.1025e+16 1.0014e+16 0\n", - " 11 847 37.002258 -76.386467 1.8459e+16 8.1250e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 13:27:20.330336+00:00, HCHO col 1.9687e+16, unc 6.2217e+15\n", - "no negative: averaged time 2024-07-30 13:27:20.330336+00:00, HCHO col 1.9687e+16, unc 6.2217e+15\n", - "no Small: averaged time 2024-07-30 13:27:20.330336+00:00, HCHO col 1.9687e+16, unc 6.2217e+15\n", - "178448406_TEMPO_HCHO_L2_V04_20240730T140556Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.029732 -76.317680 1.5828e+15 4.8230e+15 0\n", - " 10 847 37.010391 -76.322067 1.3247e+16 7.2936e+15 0\n", - " 11 846 37.028194 -76.375450 1.1087e+16 5.7319e+15 0\n", - " 11 847 37.008858 -76.379829 1.5343e+16 6.6051e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 14:07:25.609741+00:00, HCHO col 9.7778e+15, unc 6.2361e+15\n", - "no negative: averaged time 2024-07-30 14:07:25.609741+00:00, HCHO col 9.7778e+15, unc 6.2361e+15\n", - "no Small: averaged time 2024-07-30 14:07:26.745425+00:00, HCHO col 1.3226e+16, unc 6.5435e+15\n", - "178448407_TEMPO_HCHO_L2_V04_20240730T150556Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.033089 -76.315933 1.4611e+16 1.1829e+16 0\n", - " 10 846 37.013748 -76.320328 7.3225e+15 8.0703e+15 0\n", - " 11 845 37.031025 -76.373116 8.5576e+15 7.5282e+15 0\n", - " 11 846 37.011692 -76.377495 1.0391e+16 8.9952e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 15:07:25.668806+00:00, HCHO col 8.1394e+15, unc 8.1223e+15\n", - "no negative: averaged time 2024-07-30 15:07:25.668806+00:00, HCHO col 8.1394e+15, unc 8.1223e+15\n", - "no Small: averaged time 2024-07-30 15:07:26.740985+00:00, HCHO col 1.1187e+16, unc 9.4508e+15\n", - "178448408_TEMPO_HCHO_L2_V04_20240730T160556Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034248 -76.316437 8.9408e+15 1.3969e+16 0\n", - " 10 846 37.014908 -76.320831 1.3042e+16 1.1286e+16 0\n", - " 11 845 37.032249 -76.373795 1.2894e+16 5.6150e+15 0\n", - " 11 846 37.012920 -76.378174 1.0963e+16 5.4361e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 16:07:25.620871+00:00, HCHO col 1.2953e+16, unc 9.6220e+15\n", - "no negative: averaged time 2024-07-30 16:07:25.620871+00:00, HCHO col 1.2953e+16, unc 9.6220e+15\n", - "no Small: averaged time 2024-07-30 16:07:26.737103+00:00, HCHO col 1.2300e+16, unc 7.4457e+15\n", - "178448409_TEMPO_HCHO_L2_V04_20240730T170556Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.028290 -76.285835 6.2638e+15 4.7911e+15 0\n", - " 9 847 37.008968 -76.290230 7.6848e+15 6.5126e+15 0\n", - " 10 846 37.026714 -76.342857 9.6197e+15 8.6244e+15 0\n", - " 10 847 37.007397 -76.347237 1.4181e+16 6.8245e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 17:07:27.333485+00:00, HCHO col 1.0300e+16, unc 7.9644e+15\n", - "no negative: averaged time 2024-07-30 17:07:27.333485+00:00, HCHO col 1.0300e+16, unc 7.9644e+15\n", - "no Small: averaged time 2024-07-30 17:07:27.333485+00:00, HCHO col 1.0300e+16, unc 7.9644e+15\n", - "178448410_TEMPO_HCHO_L2_V04_20240730T180556Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.024414 -76.302940 2.0027e+16 1.6383e+16 0\n", - " 10 846 37.005089 -76.307335 1.1046e+16 1.7762e+16 0\n", - " 11 845 37.022377 -76.360321 1.8754e+16 1.1647e+16 0\n", - " 11 846 37.003067 -76.364685 2.7049e+16 1.7547e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 18:07:26.453208+00:00, HCHO col 1.7928e+16, unc 1.3870e+16\n", - "no negative: averaged time 2024-07-30 18:07:26.453208+00:00, HCHO col 1.7928e+16, unc 1.3870e+16\n", - "no Small: averaged time 2024-07-30 18:07:26.453428+00:00, HCHO col 2.0559e+16, unc 1.4559e+16\n", - "178448411_TEMPO_HCHO_L2_V04_20240730T190556Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.039288 -76.285263 9.8066e+15 1.9164e+16 0\n", - " 9 846 37.019974 -76.289658 1.0750e+16 5.9350e+16 0\n", - " 10 845 37.038040 -76.342926 2.7378e+16 2.8516e+16 0\n", - " 10 846 37.018723 -76.347298 1.5980e+16 1.2913e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 19:07:27.196077+00:00, HCHO col 1.5835e+16, unc 2.2377e+16\n", - "no negative: averaged time 2024-07-30 19:07:27.196077+00:00, HCHO col 1.5835e+16, unc 2.2377e+16\n", - "no Small: averaged time 2024-07-30 19:07:27.742899+00:00, HCHO col 1.5980e+16, unc 1.2913e+16\n", - "178448412_TEMPO_HCHO_L2_V04_20240730T200556Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038269 -76.311111 2.1848e+16 2.3632e+16 0\n", - " 10 846 37.018948 -76.315498 2.3638e+16 1.2881e+16 0\n", - " 11 845 37.036861 -76.367516 5.9065e+15 1.0862e+16 0\n", - " 11 846 37.017536 -76.371895 2.1363e+16 2.4391e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 20:07:28.898347+00:00, HCHO col 2.1257e+16, unc 1.5951e+16\n", - "no negative: averaged time 2024-07-30 20:07:28.898347+00:00, HCHO col 2.1257e+16, unc 1.5951e+16\n", - "no Small: averaged time 2024-07-30 20:07:27.740425+00:00, HCHO col 2.3638e+16, unc 1.2881e+16\n", - "178448413_TEMPO_HCHO_L2_V04_20240730T210633Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.028683 -76.279930 1.3089e+16 5.9305e+15 0\n", - " 9 846 37.009369 -76.284325 8.6044e+15 6.3001e+15 0\n", - " 10 845 37.026848 -76.337128 2.2136e+16 5.1966e+15 0\n", - " 10 846 37.007538 -76.341492 9.4991e+15 5.9404e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-30 21:07:27.634595+00:00, HCHO col 1.7777e+16, unc 5.4640e+15\n", - "no negative: averaged time 2024-07-30 21:07:27.634595+00:00, HCHO col 1.7777e+16, unc 5.4640e+15\n", - "no Small: averaged time 2024-07-30 21:07:27.634595+00:00, HCHO col 1.7777e+16, unc 5.4640e+15\n", - "jobID = 782ed85f-d226-45b0-916f-72cd37359920\n" + "222142403_TEMPO_HCHO_L2_V04_20240730T143226Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.040585 -105.233551 1.9406e+16 6.7253e+15 0\n", + " 10 693 40.020195 -105.228600 5.8207e+15 6.5091e+15 0\n", + " 11 692 40.040539 -105.292252 3.3800e+15 7.3235e+15 0\n", + " 11 693 40.020878 -105.287651 4.5128e+15 7.3345e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 14:33:24.194327+00:00, HCHO col 1.7075e+16, unc 6.8204e+15\n", + "no negative: averaged time 2024-07-30 14:33:24.194327+00:00, HCHO col 1.7075e+16, unc 6.8204e+15\n", + "no Small: averaged time 2024-07-30 14:33:23.720556+00:00, HCHO col 1.9406e+16, unc 6.7253e+15\n", + "222142404_TEMPO_HCHO_L2_V04_20240730T153226Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.051781 -105.224159 8.7958e+15 5.7405e+15 0\n", + " 10 692 40.031326 -105.219170 1.4279e+15 5.7647e+15 0\n", + " 11 691 40.053398 -105.284050 -2.7935e+15 6.3041e+15 0\n", + " 11 692 40.033260 -105.279205 1.0930e+16 6.2000e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 15:33:24.802250+00:00, HCHO col 6.8043e+15, unc 5.9140e+15\n", + "no negative: averaged time 2024-07-30 15:33:24.802250+00:00, HCHO col 6.8043e+15, unc 5.9140e+15\n", + "no Small: averaged time 2024-07-30 15:33:25.232920+00:00, HCHO col 9.8631e+15, unc 5.9702e+15\n", + "222142405_TEMPO_HCHO_L2_V04_20240730T163226Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.051125 -105.222549 3.5832e+15 5.5688e+15 0\n", + " 10 692 40.030704 -105.217590 9.9860e+13 6.4052e+15 0\n", + " 11 691 40.052486 -105.281021 7.6136e+15 6.9802e+15 0\n", + " 11 692 40.032372 -105.276184 6.8123e+15 6.7889e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 16:33:24.898550+00:00, HCHO col 3.7732e+15, unc 6.3037e+15\n", + "no negative: averaged time 2024-07-30 16:33:24.898550+00:00, HCHO col 3.7732e+15, unc 6.3037e+15\n", + "no Small: averaged time 2024-07-30 16:33:26.745296+00:00, HCHO col 7.2129e+15, unc 6.8846e+15\n", + "222142406_TEMPO_HCHO_L2_V04_20240730T173226Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.043381 -105.235695 -4.0046e+14 5.4471e+15 0\n", + " 10 693 40.022991 -105.230728 3.9337e+15 4.8345e+15 0\n", + " 11 692 40.043392 -105.294090 1.5596e+16 7.1546e+15 0\n", + " 11 693 40.023869 -105.289558 8.2139e+15 7.4616e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 17:33:27.142866+00:00, HCHO col 1.4392e+15, unc 5.6137e+15\n", + "no negative: averaged time 2024-07-30 17:33:28.764533+00:00, HCHO col 9.2480e+15, unc 6.4835e+15\n", + "no Small: averaged time 2024-07-30 17:33:29.775555+00:00, HCHO col 1.1905e+16, unc 7.3081e+15\n", + "222142407_TEMPO_HCHO_L2_V04_20240730T183226Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.037903 -105.212181 4.3565e+15 5.3755e+15 0\n", + " 9 692 40.017303 -105.207115 1.5333e+15 4.8862e+15 0\n", + " 10 691 40.039310 -105.271645 -2.5335e+15 5.7159e+15 0\n", + " 10 692 40.018978 -105.266701 3.8969e+15 5.6985e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 18:33:25.241548+00:00, HCHO col 1.2227e+15, unc 5.5468e+15\n", + "no negative: averaged time 2024-07-30 18:33:24.717762+00:00, HCHO col 3.2622e+15, unc 5.3201e+15\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222142408_TEMPO_HCHO_L2_V04_20240730T193226Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.045223 -105.230522 1.8657e+16 7.9998e+15 0\n", + " 10 693 40.024799 -105.225548 1.3168e+16 5.3091e+15 0\n", + " 11 692 40.045181 -105.289612 -4.7404e+15 7.9045e+15 0\n", + " 11 693 40.025471 -105.284973 1.2179e+16 7.8892e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 19:33:27.423933+00:00, HCHO col 1.6318e+16, unc 7.5440e+15\n", + "no negative: averaged time 2024-07-30 19:33:27.423933+00:00, HCHO col 1.6318e+16, unc 7.5440e+15\n", + "no Small: averaged time 2024-07-30 19:33:27.423933+00:00, HCHO col 1.6318e+16, unc 7.5440e+15\n", + "222142409_TEMPO_HCHO_L2_V04_20240730T203226Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044327 -105.191101 -1.6540e+15 6.1117e+15 0\n", + " 9 693 40.023560 -105.185951 1.3144e+16 7.3400e+15 0\n", + " 10 692 40.045959 -105.250366 -4.5970e+15 4.8749e+16 0\n", + " 10 693 40.025608 -105.245415 1.1084e+16 1.6455e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 20:33:29.445533+00:00, HCHO col 2.1016e+15, unc 3.1034e+16\n", + "no negative: averaged time 2024-07-30 20:33:28.254004+00:00, HCHO col 1.2114e+16, unc 1.1897e+16\n", + "no Small: averaged time 2024-07-30 20:33:26.737465+00:00, HCHO col 1.3144e+16, unc 7.3400e+15\n", + "222142410_TEMPO_HCHO_L2_V04_20240730T212719Z_S013G06_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.042648 -105.216698 -2.0399e+15 4.6770e+16 0\n", + " 9 693 40.022236 -105.211723 -5.9150e+14 3.3889e+16 0\n", + " 10 692 40.043133 -105.275070 3.6336e+15 1.1843e+17 0\n", + " 10 693 40.022850 -105.270142 6.8755e+15 2.0968e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-30 21:33:28.120893+00:00, HCHO col 1.4043e+15, unc 5.3633e+16\n", + "no negative: averaged time 2024-07-30 21:33:29.771447+00:00, HCHO col 5.2546e+15, unc 6.9697e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "jobID = e2805154-60a1-4a47-ae6b-74a82d0bb001\n" ] }, { @@ -4804,138 +4954,129 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 13\n", - "178448422_TEMPO_HCHO_L2_V04_20240731T104544Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.037159 -76.319519 1.8597e+16 2.2384e+16 1\n", - " 10 846 37.017818 -76.323898 2.2754e+16 2.1657e+16 1\n", - " 11 845 37.035152 -76.376328 4.8120e+16 2.2986e+16 1\n", - " 11 846 37.015823 -76.380692 2.5703e+16 2.5990e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222142510_TEMPO_HCHO_L2_V04_20240731T163242Z_S008G07_subsetted.nc\n", + "./222142509_TEMPO_HCHO_L2_V04_20240731T143242Z_S006G07_subsetted.nc\n", + "./222142508_TEMPO_HCHO_L2_V04_20240731T011225Z_S014G02_subsetted.nc\n", + "./222142511_TEMPO_HCHO_L2_V04_20240731T173242Z_S009G07_subsetted.nc\n", + "./222142514_TEMPO_HCHO_L2_V04_20240731T203242Z_S012G07_subsetted.nc\n", + "./222142513_TEMPO_HCHO_L2_V04_20240731T193242Z_S011G07_subsetted.nc\n", + "./222142512_TEMPO_HCHO_L2_V04_20240731T183242Z_S010G07_subsetted.nc\n", + "./222142517_TEMPO_HCHO_L2_V04_20240731T231247Z_S015G04_subsetted.nc\n", + "./222142516_TEMPO_HCHO_L2_V04_20240731T223242Z_S014G07_subsetted.nc\n", + "./222142515_TEMPO_HCHO_L2_V04_20240731T213242Z_S013G07_subsetted.nc\n", + "./222142518_TEMPO_HCHO_L2_V04_20240731T235252Z_S016G04_subsetted.nc\n", + "Number of result files: 11\n", + "222142510_TEMPO_HCHO_L2_V04_20240731T163242Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.055737 -105.220787 1.1857e+16 5.1565e+15 0\n", + " 10 692 40.035248 -105.215782 1.5088e+16 5.2888e+15 0\n", + " 11 691 40.056679 -105.279930 7.6298e+15 4.9726e+15 0\n", + " 11 692 40.036541 -105.275085 6.4028e+15 5.2056e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 16:33:41.010499+00:00, HCHO col 1.1042e+16, unc 5.2417e+15\n", + "no negative: averaged time 2024-07-31 16:33:41.010499+00:00, HCHO col 1.1042e+16, unc 5.2417e+15\n", + "no Small: averaged time 2024-07-31 16:33:41.010499+00:00, HCHO col 1.1042e+16, unc 5.2417e+15\n", + "222142509_TEMPO_HCHO_L2_V04_20240731T143242Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.046429 -105.190346 5.7948e+15 5.9620e+15 0\n", + " 9 692 40.025673 -105.185219 1.1351e+16 5.7657e+15 0\n", + " 10 691 40.048130 -105.250046 1.4018e+16 5.8754e+15 0\n", + " 10 692 40.027760 -105.245094 -7.4223e+15 5.9197e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 14:33:37.693238+00:00, HCHO col 1.0388e+16, unc 5.8677e+15\n", + "no negative: averaged time 2024-07-31 14:33:37.693238+00:00, HCHO col 1.0388e+16, unc 5.8677e+15\n", + "no Small: averaged time 2024-07-31 14:33:38.198750+00:00, HCHO col 1.2685e+16, unc 5.8205e+15\n", + "222142508_TEMPO_HCHO_L2_V04_20240731T011225Z_S014G02_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.049244 -105.214561 -4.2184e+16 1.4007e+17 1\n", + " 9 693 40.028847 -105.209602 4.0909e+16 2.0601e+17 1\n", + " 10 692 40.050186 -105.274200 -1.3309e+15 2.4519e+16 1\n", + " 10 693 40.029968 -105.269318 2.0478e+15 3.2662e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448423_TEMPO_HCHO_L2_V04_20240731T112549Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.029457 -76.320168 3.0145e+16 7.6148e+15 0\n", - " 10 846 37.010117 -76.324539 -6.2240e+15 7.9646e+15 0\n", - " 11 845 37.027836 -76.378006 6.7940e+15 8.7303e+15 0\n", - " 11 846 37.008492 -76.382370 1.2869e+16 8.9222e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 11:27:21.466067+00:00, HCHO col 7.8519e+15, unc 8.0519e+15\n", - "no negative: averaged time 2024-07-31 11:27:22.730131+00:00, HCHO col 1.6603e+16, unc 8.4225e+15\n", - "no Small: averaged time 2024-07-31 11:27:22.224618+00:00, HCHO col 2.1507e+16, unc 8.2685e+15\n", - "178448426_TEMPO_HCHO_L2_V04_20240731T132604Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.026321 -76.277512 1.3364e+16 3.9981e+15 0\n", - " 9 847 37.006992 -76.281914 1.7648e+16 4.1861e+15 0\n", - " 10 846 37.024586 -76.335823 -9.3360e+14 5.5621e+15 1\n", - " 10 847 37.005268 -76.340202 1.5255e+16 3.8557e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 13:27:33.693675+00:00, HCHO col 1.5422e+16, unc 4.0133e+15\n", - "no negative: averaged time 2024-07-31 13:27:33.693675+00:00, HCHO col 1.5422e+16, unc 4.0133e+15\n", - "no Small: averaged time 2024-07-31 13:27:33.693675+00:00, HCHO col 1.5422e+16, unc 4.0133e+15\n", - "178448425_TEMPO_HCHO_L2_V04_20240731T124559Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 847 37.022018 -76.306992 1.3043e+16 4.1186e+15 0\n", - " 10 848 37.002682 -76.311394 1.8206e+16 4.3681e+15 0\n", - " 11 847 37.020168 -76.364250 7.9729e+15 4.5582e+15 0\n", - " 11 848 37.000839 -76.368629 1.9520e+16 3.7546e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 12:47:32.272402+00:00, HCHO col 1.0641e+16, unc 4.3545e+15\n", - "no negative: averaged time 2024-07-31 12:47:32.272402+00:00, HCHO col 1.0641e+16, unc 4.3545e+15\n", - "no Small: averaged time 2024-07-31 12:47:32.272402+00:00, HCHO col 1.0641e+16, unc 4.3545e+15\n", - "178448424_TEMPO_HCHO_L2_V04_20240731T120554Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026295 -76.298393 2.5499e+15 5.4938e+15 0\n", - " 10 847 37.006958 -76.302788 1.8058e+16 5.5789e+15 0\n", - " 11 846 37.024578 -76.355530 1.0692e+16 4.2676e+15 0\n", - " 11 847 37.005245 -76.359901 1.1745e+16 4.4188e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 12:07:27.679935+00:00, HCHO col 1.1750e+16, unc 4.7191e+15\n", - "no negative: averaged time 2024-07-31 12:07:27.679935+00:00, HCHO col 1.1750e+16, unc 4.7191e+15\n", - "no Small: averaged time 2024-07-31 12:07:27.732667+00:00, HCHO col 1.3498e+16, unc 4.7551e+15\n", - "178448427_TEMPO_HCHO_L2_V04_20240731T140612Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024487 -76.321304 1.8997e+16 6.0507e+15 0\n", - " 10 847 37.005173 -76.325684 2.3421e+16 4.5273e+15 0\n", - " 11 846 37.022900 -76.378418 1.8439e+16 4.2734e+15 0\n", - " 11 847 37.003574 -76.382790 1.3450e+16 4.9681e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 14:07:41.484873+00:00, HCHO col 1.9723e+16, unc 5.3029e+15\n", - "no negative: averaged time 2024-07-31 14:07:41.484873+00:00, HCHO col 1.9723e+16, unc 5.3029e+15\n", - "no Small: averaged time 2024-07-31 14:07:41.484873+00:00, HCHO col 1.9723e+16, unc 5.3029e+15\n", - "178448428_TEMPO_HCHO_L2_V04_20240731T160612Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 837 37.028370 -76.331184 1.8600e+16 5.7144e+15 0\n", - " 10 838 37.009056 -76.335556 1.8098e+16 9.0086e+15 0\n", - " 11 837 37.026382 -76.389809 1.7704e+16 8.1908e+15 0\n", - " 11 838 37.007072 -76.394165 1.4309e+16 4.5781e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 16:08:08.178482+00:00, HCHO col 1.8338e+16, unc 7.2227e+15\n", - "no negative: averaged time 2024-07-31 16:08:08.178482+00:00, HCHO col 1.8338e+16, unc 7.2227e+15\n", - "no Small: averaged time 2024-07-31 16:08:08.178482+00:00, HCHO col 1.8338e+16, unc 7.2227e+15\n", - "178448429_TEMPO_HCHO_L2_V04_20240731T170612Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024086 -76.295021 2.1793e+16 7.2174e+15 0\n", - " 10 847 37.004772 -76.299408 1.7666e+16 5.8464e+15 0\n", - " 11 846 37.022526 -76.352196 2.0302e+16 6.7639e+15 0\n", - " 11 847 37.003208 -76.356567 2.1444e+16 6.8138e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 17:07:42.880274+00:00, HCHO col 2.0154e+16, unc 6.7031e+15\n", - "no negative: averaged time 2024-07-31 17:07:42.880274+00:00, HCHO col 2.0154e+16, unc 6.7031e+15\n", - "no Small: averaged time 2024-07-31 17:07:42.880274+00:00, HCHO col 2.0154e+16, unc 6.7031e+15\n", - "178448430_TEMPO_HCHO_L2_V04_20240731T180612Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034985 -76.303894 2.0571e+16 5.5909e+15 0\n", - " 10 846 37.015663 -76.308281 1.2427e+16 5.2537e+15 0\n", - " 11 845 37.033020 -76.361595 2.5857e+16 6.8401e+15 0\n", - " 11 846 37.013691 -76.365967 1.4926e+16 4.4944e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 18:07:42.277463+00:00, HCHO col 1.6903e+16, unc 5.5496e+15\n", - "no negative: averaged time 2024-07-31 18:07:42.277463+00:00, HCHO col 1.6903e+16, unc 5.5496e+15\n", - "no Small: averaged time 2024-07-31 18:07:42.277463+00:00, HCHO col 1.6903e+16, unc 5.5496e+15\n", - "178448431_TEMPO_HCHO_L2_V04_20240731T190612Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031483 -76.289436 1.8771e+16 5.5897e+15 0\n", - " 10 846 37.012161 -76.293831 1.5974e+16 8.9970e+15 0\n", - " 11 845 37.029926 -76.345993 1.5567e+16 1.1585e+16 0\n", - " 11 846 37.010612 -76.350365 1.8399e+16 9.1390e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 19:07:43.128769+00:00, HCHO col 1.6526e+16, unc 1.0296e+16\n", - "no negative: averaged time 2024-07-31 19:07:43.128769+00:00, HCHO col 1.6526e+16, unc 1.0296e+16\n", - "no Small: averaged time 2024-07-31 19:07:43.128769+00:00, HCHO col 1.6526e+16, unc 1.0296e+16\n", - "178448432_TEMPO_HCHO_L2_V04_20240731T200612Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.037586 -76.325119 2.0948e+16 7.0653e+15 0\n", - " 10 846 37.018265 -76.329506 1.6461e+16 8.0959e+15 0\n", - " 11 845 37.036026 -76.381355 2.3504e+16 7.6232e+15 0\n", - " 11 846 37.016716 -76.385719 1.9432e+16 5.4232e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 20:07:44.162889+00:00, HCHO col 1.7336e+16, unc 7.9902e+15\n", - "no negative: averaged time 2024-07-31 20:07:44.162889+00:00, HCHO col 1.7336e+16, unc 7.9902e+15\n", - "no Small: averaged time 2024-07-31 20:07:44.162889+00:00, HCHO col 1.7336e+16, unc 7.9902e+15\n", - "178448433_TEMPO_HCHO_L2_V04_20240731T210612Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.023918 -76.280602 2.2959e+15 6.5354e+15 0\n", - " 9 847 37.004608 -76.284988 2.2231e+16 7.0574e+15 0\n", - " 10 846 37.022297 -76.337509 1.9495e+16 6.8525e+15 0\n", - " 10 847 37.002998 -76.341873 1.2644e+16 5.6890e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 21:07:43.661918+00:00, HCHO col 1.9003e+16, unc 6.7628e+15\n", - "no negative: averaged time 2024-07-31 21:07:43.661918+00:00, HCHO col 1.9003e+16, unc 6.7628e+15\n", - "no Small: averaged time 2024-07-31 21:07:43.661918+00:00, HCHO col 1.9003e+16, unc 6.7628e+15\n", - "178448434_TEMPO_HCHO_L2_V04_20240731T220612Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.040588 -76.293823 2.1667e+16 8.2947e+15 0\n", - " 10 846 37.021267 -76.298210 2.0452e+16 9.1623e+15 0\n", - " 11 845 37.038723 -76.351410 1.4647e+16 9.0527e+15 0\n", - " 11 846 37.019409 -76.355782 1.2356e+16 9.1504e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-07-31 22:07:45.775501+00:00, HCHO col 1.5077e+16, unc 9.1529e+15\n", - "no negative: averaged time 2024-07-31 22:07:45.775501+00:00, HCHO col 1.5077e+16, unc 9.1529e+15\n", - "no Small: averaged time 2024-07-31 22:07:45.775501+00:00, HCHO col 1.5077e+16, unc 9.1529e+15\n", - "jobID = 83772acc-81af-4452-8f3b-08de541c4a9c\n" + "222142511_TEMPO_HCHO_L2_V04_20240731T173242Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.056973 -105.242325 1.7750e+16 4.9752e+15 0\n", + " 10 692 40.036503 -105.237320 1.1264e+16 5.3211e+15 0\n", + " 11 691 40.055870 -105.300896 1.0130e+16 6.1097e+15 0\n", + " 11 692 40.036633 -105.296509 7.4442e+15 6.2144e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 17:33:42.963426+00:00, HCHO col 1.1291e+16, unc 5.3714e+15\n", + "no negative: averaged time 2024-07-31 17:33:42.963426+00:00, HCHO col 1.1291e+16, unc 5.3714e+15\n", + "no Small: averaged time 2024-07-31 17:33:42.963426+00:00, HCHO col 1.1291e+16, unc 5.3714e+15\n", + "222142514_TEMPO_HCHO_L2_V04_20240731T203242Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.042519 -105.211807 1.4524e+16 4.4894e+15 0\n", + " 9 693 40.021984 -105.206772 9.0306e+15 4.9054e+15 0\n", + " 10 692 40.043758 -105.271980 1.8172e+16 4.5281e+15 0\n", + " 10 693 40.023453 -105.267036 1.1590e+16 4.6498e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 20:33:44.341137+00:00, HCHO col 1.4601e+16, unc 4.5437e+15\n", + "no negative: averaged time 2024-07-31 20:33:44.341137+00:00, HCHO col 1.4601e+16, unc 4.5437e+15\n", + "no Small: averaged time 2024-07-31 20:33:44.341137+00:00, HCHO col 1.4601e+16, unc 4.5437e+15\n", + "222142513_TEMPO_HCHO_L2_V04_20240731T193242Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.048485 -105.241829 1.6716e+16 5.3202e+15 0\n", + " 10 692 40.028114 -105.236870 3.9479e+14 5.0184e+15 0\n", + " 11 691 40.047554 -105.299927 1.6015e+16 6.3912e+15 0\n", + " 11 692 40.027699 -105.295212 4.8294e+15 5.5599e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 19:33:42.898393+00:00, HCHO col 8.1468e+15, unc 5.1841e+15\n", + "no negative: averaged time 2024-07-31 19:33:42.898393+00:00, HCHO col 8.1468e+15, unc 5.1841e+15\n", + "no Small: averaged time 2024-07-31 19:33:44.267254+00:00, HCHO col 1.6365e+16, unc 5.8557e+15\n", + "222142512_TEMPO_HCHO_L2_V04_20240731T183242Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.055592 -105.203552 2.4149e+16 4.7426e+15 0\n", + " 9 692 40.035137 -105.198563 4.3175e+15 5.5794e+15 0\n", + " 10 691 40.056656 -105.263199 5.1572e+15 4.3518e+15 0\n", + " 10 692 40.036411 -105.258293 1.1107e+16 5.3997e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 18:33:41.906474+00:00, HCHO col 1.0615e+16, unc 5.3907e+15\n", + "no negative: averaged time 2024-07-31 18:33:41.906474+00:00, HCHO col 1.0615e+16, unc 5.3907e+15\n", + "no Small: averaged time 2024-07-31 18:33:41.740689+00:00, HCHO col 1.3471e+16, unc 4.8313e+15\n", + "222142517_TEMPO_HCHO_L2_V04_20240731T231247Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.046883 -105.223274 1.9140e+16 5.4594e+15 0\n", + " 10 693 40.026485 -105.218307 1.8437e+16 5.8434e+15 0\n", + " 11 692 40.047249 -105.282921 1.0377e+16 6.1965e+15 0\n", + " 11 693 40.027206 -105.278114 8.7936e+15 4.7942e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 23:13:51.818961+00:00, HCHO col 1.5410e+16, unc 5.2711e+15\n", + "no negative: averaged time 2024-07-31 23:13:51.818961+00:00, HCHO col 1.5410e+16, unc 5.2711e+15\n", + "no Small: averaged time 2024-07-31 23:13:51.818961+00:00, HCHO col 1.5410e+16, unc 5.2711e+15\n", + "222142516_TEMPO_HCHO_L2_V04_20240731T223242Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.045540 -105.194519 7.5182e+14 4.5790e+15 0\n", + " 9 693 40.024811 -105.189392 1.0160e+16 4.5620e+15 0\n", + " 10 692 40.046509 -105.253174 1.1472e+16 4.7832e+15 0\n", + " 10 693 40.026173 -105.248230 1.9518e+16 5.8815e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 22:33:45.312162+00:00, HCHO col 1.3328e+16, unc 5.2303e+15\n", + "no negative: averaged time 2024-07-31 22:33:45.312162+00:00, HCHO col 1.3328e+16, unc 5.2303e+15\n", + "no Small: averaged time 2024-07-31 22:33:45.312861+00:00, HCHO col 1.3516e+16, unc 5.0559e+15\n", + "222142515_TEMPO_HCHO_L2_V04_20240731T213242Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.048950 -105.238663 1.1626e+16 4.2107e+15 0\n", + " 10 693 40.028545 -105.233688 1.2356e+16 4.8972e+15 0\n", + " 11 692 40.048260 -105.297096 7.9039e+15 5.2662e+15 0\n", + " 11 693 40.028782 -105.292580 1.8188e+16 6.4869e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 21:33:43.047287+00:00, HCHO col 1.2644e+16, unc 4.7623e+15\n", + "no negative: averaged time 2024-07-31 21:33:43.047287+00:00, HCHO col 1.2644e+16, unc 4.7623e+15\n", + "no Small: averaged time 2024-07-31 21:33:43.047287+00:00, HCHO col 1.2644e+16, unc 4.7623e+15\n", + "222142518_TEMPO_HCHO_L2_V04_20240731T235252Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.044807 -105.219933 1.3264e+16 5.3421e+15 0\n", + " 10 693 40.024426 -105.214981 1.2199e+16 4.6103e+15 0\n", + " 11 692 40.045162 -105.278168 9.2677e+15 6.1828e+15 0\n", + " 11 693 40.024944 -105.273277 1.4178e+16 6.1495e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-07-31 23:53:56.998200+00:00, HCHO col 1.3436e+16, unc 5.6744e+15\n", + "no negative: averaged time 2024-07-31 23:53:56.998200+00:00, HCHO col 1.3436e+16, unc 5.6744e+15\n", + "no Small: averaged time 2024-07-31 23:53:56.998200+00:00, HCHO col 1.3436e+16, unc 5.6744e+15\n", + "jobID = 860dff37-747e-4d58-9c26-425e62a273d2\n" ] }, { @@ -4949,148 +5090,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448615_TEMPO_HCHO_L2_V04_20240801T104600Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.031265 -76.291565 9.1409e+15 1.1315e+16 1\n", - " 10 845 37.011864 -76.295982 6.0214e+16 3.0495e+16 1\n", - " 11 844 37.029598 -76.349869 4.4788e+16 2.5499e+16 1\n", - " 11 845 37.010204 -76.354256 7.3464e+15 1.3443e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222142628_TEMPO_HCHO_L2_V04_20240801T003257Z_S017G04_subsetted.nc\n", + "./222142629_TEMPO_HCHO_L2_V04_20240801T011302Z_S018G04_subsetted.nc\n", + "./222142631_TEMPO_HCHO_L2_V04_20240801T153258Z_S007G07_subsetted.nc\n", + "./222142630_TEMPO_HCHO_L2_V04_20240801T143258Z_S006G07_subsetted.nc\n", + "./222142632_TEMPO_HCHO_L2_V04_20240801T163258Z_S008G07_subsetted.nc\n", + "./222142633_TEMPO_HCHO_L2_V04_20240801T173258Z_S009G07_subsetted.nc\n", + "./222142634_TEMPO_HCHO_L2_V04_20240801T183258Z_S010G07_subsetted.nc\n", + "./222142637_TEMPO_HCHO_L2_V04_20240801T213258Z_S013G07_subsetted.nc\n", + "./222142635_TEMPO_HCHO_L2_V04_20240801T193258Z_S011G07_subsetted.nc\n", + "./222142638_TEMPO_HCHO_L2_V04_20240801T223258Z_S014G07_subsetted.nc\n", + "./222142639_TEMPO_HCHO_L2_V04_20240801T231303Z_S015G04_subsetted.nc\n", + "./222142640_TEMPO_HCHO_L2_V04_20240801T235308Z_S016G04_subsetted.nc\n", + "./222142636_TEMPO_HCHO_L2_V04_20240801T203258Z_S012G07_subsetted.nc\n", + "Number of result files: 13\n", + "222142628_TEMPO_HCHO_L2_V04_20240801T003257Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.051235 -105.209976 1.2136e+16 6.2766e+15 0\n", + " 9 693 40.030800 -105.204994 9.7690e+14 6.9428e+15 0\n", + " 10 692 40.052223 -105.268929 7.0511e+15 6.3424e+15 0\n", + " 10 693 40.031990 -105.264038 2.7440e+15 5.9588e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 00:34:02.584931+00:00, HCHO col 5.3082e+15, unc 6.1553e+15\n", + "no negative: averaged time 2024-08-01 00:34:02.584931+00:00, HCHO col 5.3082e+15, unc 6.1553e+15\n", + "no Small: averaged time 2024-08-01 00:34:02.275424+00:00, HCHO col 9.5935e+15, unc 6.3095e+15\n", + "222142629_TEMPO_HCHO_L2_V04_20240801T011302Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.053261 -105.226562 1.3244e+16 1.0009e+16 1\n", + " 10 692 40.032757 -105.221542 5.3687e+15 8.3876e+15 1\n", + " 11 691 40.053913 -105.285355 1.8242e+16 8.6091e+15 1\n", + " 11 692 40.033749 -105.280487 1.1524e+16 9.4320e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448616_TEMPO_HCHO_L2_V04_20240801T112605Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038254 -76.290512 2.4433e+16 1.8807e+16 0\n", - " 10 846 37.018898 -76.294914 3.1740e+16 1.0701e+16 0\n", - " 11 845 37.036560 -76.347572 4.3940e+16 1.7851e+16 0\n", - " 11 846 37.017216 -76.351952 2.4169e+16 1.2588e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 11:27:35.940362+00:00, HCHO col 2.8835e+16, unc 1.2821e+16\n", - "no negative: averaged time 2024-08-01 11:27:35.940362+00:00, HCHO col 2.8835e+16, unc 1.2821e+16\n", - "no Small: averaged time 2024-08-01 11:27:35.940362+00:00, HCHO col 2.8835e+16, unc 1.2821e+16\n", - "178448617_TEMPO_HCHO_L2_V04_20240801T120610Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.032650 -76.295433 1.6614e+16 7.2919e+15 0\n", - " 10 847 37.013306 -76.299828 2.7990e+16 8.3774e+15 0\n", - " 11 846 37.031139 -76.351738 2.4408e+16 8.3844e+15 0\n", - " 11 847 37.011803 -76.356117 1.2637e+16 8.0301e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 12:07:43.787979+00:00, HCHO col 2.2350e+16, unc 8.2863e+15\n", - "no negative: averaged time 2024-08-01 12:07:43.787979+00:00, HCHO col 2.2350e+16, unc 8.2863e+15\n", - "no Small: averaged time 2024-08-01 12:07:43.787979+00:00, HCHO col 2.2350e+16, unc 8.2863e+15\n", - "178448618_TEMPO_HCHO_L2_V04_20240801T124615Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.029228 -76.301971 1.8026e+16 5.3352e+15 0\n", - " 10 847 37.009884 -76.306366 2.7047e+16 5.6090e+15 0\n", - " 11 846 37.027317 -76.359825 2.0127e+16 4.9882e+15 0\n", - " 11 847 37.007980 -76.364204 2.1900e+16 6.3145e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 12:47:48.434172+00:00, HCHO col 2.2877e+16, unc 5.2492e+15\n", - "no negative: averaged time 2024-08-01 12:47:48.434172+00:00, HCHO col 2.2877e+16, unc 5.2492e+15\n", - "no Small: averaged time 2024-08-01 12:47:48.434172+00:00, HCHO col 2.2877e+16, unc 5.2492e+15\n", - "178448619_TEMPO_HCHO_L2_V04_20240801T132620Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038609 -76.325470 1.3428e+16 4.0254e+15 0\n", - " 10 846 37.019264 -76.329865 2.6452e+16 4.0783e+15 0\n", - " 11 845 37.036560 -76.382896 1.5223e+16 4.7318e+15 0\n", - " 11 846 37.017235 -76.387268 2.1313e+16 4.8690e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 13:27:52.085961+00:00, HCHO col 2.5419e+16, unc 4.1659e+15\n", - "no negative: averaged time 2024-08-01 13:27:52.085961+00:00, HCHO col 2.5419e+16, unc 4.1659e+15\n", - "no Small: averaged time 2024-08-01 13:27:52.085961+00:00, HCHO col 2.5419e+16, unc 4.1659e+15\n", - "178448620_TEMPO_HCHO_L2_V04_20240801T140628Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.022808 -76.278915 1.7601e+16 1.1109e+16 0\n", - " 9 847 37.003479 -76.283310 2.1651e+16 8.4044e+15 0\n", - " 10 846 37.021439 -76.336426 1.0482e+16 1.3703e+16 0\n", - " 10 847 37.002121 -76.340797 2.5105e+16 7.7057e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 14:07:56.712943+00:00, HCHO col 1.1340e+16, unc 1.3350e+16\n", - "no negative: averaged time 2024-08-01 14:07:56.712943+00:00, HCHO col 1.1340e+16, unc 1.3350e+16\n", - "no Small: averaged time 2024-08-01 14:07:54.695332+00:00, HCHO col 2.1452e+16, unc 9.0730e+15\n", - "178448622_TEMPO_HCHO_L2_V04_20240801T160628Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.030449 -76.321259 3.0383e+16 6.3197e+15 0\n", - " 10 846 37.011124 -76.325645 1.7180e+16 4.5598e+15 0\n", - " 11 845 37.028748 -76.378197 3.5611e+16 6.9173e+15 0\n", - " 11 846 37.009415 -76.382568 2.7317e+16 7.0286e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 16:07:57.406475+00:00, HCHO col 2.4923e+16, unc 5.5690e+15\n", - "no negative: averaged time 2024-08-01 16:07:57.406475+00:00, HCHO col 2.4923e+16, unc 5.5690e+15\n", - "no Small: averaged time 2024-08-01 16:07:57.406475+00:00, HCHO col 2.4923e+16, unc 5.5690e+15\n", - "178448621_TEMPO_HCHO_L2_V04_20240801T150628Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.020958 -76.335487 2.2022e+16 1.9158e+16 0\n", - " 10 847 37.001652 -76.339859 1.6891e+16 7.6238e+15 0\n", - " 11 846 37.018536 -76.392769 9.0944e+15 6.9629e+15 0\n", - " 11 847 36.999203 -76.397141 1.1594e+16 6.8906e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 15:07:56.762868+00:00, HCHO col 2.1638e+16, unc 1.8582e+16\n", - "no negative: averaged time 2024-08-01 15:07:56.762868+00:00, HCHO col 2.1638e+16, unc 1.8582e+16\n", - "no Small: averaged time 2024-08-01 15:07:56.762868+00:00, HCHO col 2.1638e+16, unc 1.8582e+16\n", - "178448624_TEMPO_HCHO_L2_V04_20240801T180628Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.037411 -76.303200 3.4486e+16 1.6745e+16 0\n", - " 10 846 37.018089 -76.307587 1.9228e+16 5.3957e+15 0\n", - " 11 845 37.035286 -76.360458 2.4812e+16 1.6077e+16 0\n", - " 11 846 37.015961 -76.364822 1.6997e+16 6.1262e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 18:07:58.297724+00:00, HCHO col 1.9410e+16, unc 7.4839e+15\n", - "no negative: averaged time 2024-08-01 18:07:58.297724+00:00, HCHO col 1.9410e+16, unc 7.4839e+15\n", - "no Small: averaged time 2024-08-01 18:07:58.297724+00:00, HCHO col 1.9410e+16, unc 7.4839e+15\n", - "178448623_TEMPO_HCHO_L2_V04_20240801T170628Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.029957 -76.296585 1.7718e+16 4.9987e+15 0\n", - " 10 847 37.010635 -76.300972 1.1336e+16 4.9459e+15 0\n", - " 11 846 37.028423 -76.353546 1.3492e+16 5.8288e+15 0\n", - " 11 847 37.009102 -76.357918 1.5648e+16 4.7561e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 17:07:58.746515+00:00, HCHO col 1.3024e+16, unc 5.4125e+15\n", - "no negative: averaged time 2024-08-01 17:07:58.746515+00:00, HCHO col 1.3024e+16, unc 5.4125e+15\n", - "no Small: averaged time 2024-08-01 17:07:58.746515+00:00, HCHO col 1.3024e+16, unc 5.4125e+15\n", - "178448625_TEMPO_HCHO_L2_V04_20240801T190628Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.030361 -76.294197 2.4157e+16 5.7430e+15 0\n", - " 10 846 37.011047 -76.298576 5.2541e+15 6.9456e+15 0\n", - " 11 845 37.028778 -76.351006 1.7477e+16 5.9327e+15 0\n", - " 11 846 37.009464 -76.355370 1.8440e+16 6.1357e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 19:07:58.872787+00:00, HCHO col 1.4109e+16, unc 6.2608e+15\n", - "no negative: averaged time 2024-08-01 19:07:58.872787+00:00, HCHO col 1.4109e+16, unc 6.2608e+15\n", - "no Small: averaged time 2024-08-01 19:07:58.873024+00:00, HCHO col 1.9854e+16, unc 5.9718e+15\n", - "178448626_TEMPO_HCHO_L2_V04_20240801T200628Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.028511 -76.327530 3.0839e+16 8.2310e+15 0\n", - " 10 847 37.009205 -76.331902 7.4746e+15 5.3892e+15 0\n", - " 11 846 37.026741 -76.384109 2.2585e+16 2.1563e+16 0\n", - " 11 847 37.007435 -76.388458 3.3724e+16 6.4086e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 20:08:00.140255+00:00, HCHO col 2.0117e+16, unc 8.7671e+15\n", - "no negative: averaged time 2024-08-01 20:08:00.140255+00:00, HCHO col 2.0117e+16, unc 8.7671e+15\n", - "no Small: averaged time 2024-08-01 20:08:00.140255+00:00, HCHO col 2.0117e+16, unc 8.7671e+15\n", - "178448627_TEMPO_HCHO_L2_V04_20240801T210628Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031967 -76.322891 2.3745e+16 6.3116e+15 0\n", - " 10 846 37.012650 -76.327263 2.5389e+16 7.7121e+15 0\n", - " 11 845 37.030746 -76.380562 3.0535e+16 9.4355e+15 0\n", - " 11 846 37.011429 -76.384926 2.0421e+15 8.0183e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 21:08:00.333067+00:00, HCHO col 2.6028e+16, unc 7.7428e+15\n", - "no negative: averaged time 2024-08-01 21:08:00.333067+00:00, HCHO col 2.6028e+16, unc 7.7428e+15\n", - "no Small: averaged time 2024-08-01 21:08:00.333067+00:00, HCHO col 2.6028e+16, unc 7.7428e+15\n", - "178448628_TEMPO_HCHO_L2_V04_20240801T220628Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.028938 -76.286011 2.7696e+16 8.7290e+15 0\n", - " 9 847 37.009621 -76.290405 1.4707e+16 8.0628e+15 0\n", - " 10 846 37.027248 -76.343216 2.0566e+16 9.9789e+15 0\n", - " 10 847 37.007938 -76.347588 3.2661e+16 8.3035e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-01 22:08:02.344640+00:00, HCHO col 2.2482e+16, unc 9.3203e+15\n", - "no negative: averaged time 2024-08-01 22:08:02.344640+00:00, HCHO col 2.2482e+16, unc 9.3203e+15\n", - "no Small: averaged time 2024-08-01 22:08:02.344640+00:00, HCHO col 2.2482e+16, unc 9.3203e+15\n", - "jobID = fc36cfc7-cc3c-4b5e-a811-d83ab7f21c40\n" + "222142631_TEMPO_HCHO_L2_V04_20240801T153258Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.049789 -105.186417 5.3467e+15 5.0341e+15 0\n", + " 9 692 40.029121 -105.181335 9.8741e+15 4.6348e+15 0\n", + " 10 691 40.050697 -105.246323 8.6614e+15 5.4618e+15 0\n", + " 10 692 40.030304 -105.241364 -5.8830e+15 5.1016e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 15:33:53.686574+00:00, HCHO col 7.9608e+15, unc 5.0436e+15\n", + "no negative: averaged time 2024-08-01 15:33:53.686574+00:00, HCHO col 7.9608e+15, unc 5.0436e+15\n", + "no Small: averaged time 2024-08-01 15:33:53.686574+00:00, HCHO col 7.9608e+15, unc 5.0436e+15\n", + "222142630_TEMPO_HCHO_L2_V04_20240801T143258Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.048183 -105.200050 1.4864e+16 5.7229e+15 0\n", + " 9 692 40.027565 -105.194984 5.8744e+15 5.3337e+15 0\n", + " 10 691 40.048805 -105.259766 1.8523e+16 5.6053e+15 0\n", + " 10 692 40.028530 -105.254860 1.3513e+16 4.7732e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 14:33:54.949076+00:00, HCHO col 1.4845e+16, unc 5.1774e+15\n", + "no negative: averaged time 2024-08-01 14:33:54.949076+00:00, HCHO col 1.4845e+16, unc 5.1774e+15\n", + "no Small: averaged time 2024-08-01 14:33:54.949076+00:00, HCHO col 1.4845e+16, unc 5.1774e+15\n", + "222142632_TEMPO_HCHO_L2_V04_20240801T163258Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.047989 -105.223083 7.7106e+15 4.6484e+15 0\n", + " 10 692 40.027584 -105.218124 1.2010e+16 4.9946e+15 0\n", + " 11 691 40.048759 -105.282219 -1.8104e+15 6.0357e+15 0\n", + " 11 692 40.028690 -105.277397 1.8077e+16 4.8369e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 16:33:56.807379+00:00, HCHO col 1.2213e+16, unc 4.7758e+15\n", + "no negative: averaged time 2024-08-01 16:33:56.807379+00:00, HCHO col 1.2213e+16, unc 4.7758e+15\n", + "no Small: averaged time 2024-08-01 16:33:56.807379+00:00, HCHO col 1.2213e+16, unc 4.7758e+15\n", + "222142633_TEMPO_HCHO_L2_V04_20240801T173258Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.048470 -105.187180 4.7340e+15 5.0380e+15 0\n", + " 9 693 40.027775 -105.182076 6.5280e+15 5.6928e+15 0\n", + " 10 692 40.049435 -105.245872 4.6955e+15 6.0249e+15 0\n", + " 10 693 40.029057 -105.240906 1.9073e+16 4.5781e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 17:33:58.699440+00:00, HCHO col 1.3105e+16, unc 5.1624e+15\n", + "no negative: averaged time 2024-08-01 17:33:58.699440+00:00, HCHO col 1.3105e+16, unc 5.1624e+15\n", + "no Small: averaged time 2024-08-01 17:33:57.232905+00:00, HCHO col 1.2800e+16, unc 5.1354e+15\n", + "222142634_TEMPO_HCHO_L2_V04_20240801T183258Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.047226 -105.201508 5.9910e+15 5.2377e+15 0\n", + " 9 692 40.026634 -105.196449 2.8809e+15 5.6605e+15 0\n", + " 10 691 40.048149 -105.260895 1.3321e+16 5.7140e+15 0\n", + " 10 692 40.027882 -105.255981 5.8792e+15 4.9903e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 18:33:57.914618+00:00, HCHO col 7.4833e+15, unc 5.2115e+15\n", + "no negative: averaged time 2024-08-01 18:33:57.914618+00:00, HCHO col 7.4833e+15, unc 5.2115e+15\n", + "no Small: averaged time 2024-08-01 18:33:57.914618+00:00, HCHO col 7.4833e+15, unc 5.2115e+15\n", + "222142637_TEMPO_HCHO_L2_V04_20240801T213258Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.053043 -105.225868 7.3557e+15 4.3791e+15 0\n", + " 10 692 40.032558 -105.220856 1.1155e+16 4.6505e+15 0\n", + " 11 691 40.053490 -105.284859 6.2937e+15 4.8738e+15 0\n", + " 11 692 40.033356 -105.279999 1.0052e+16 4.9991e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 21:33:59.770164+00:00, HCHO col 9.9155e+15, unc 4.7065e+15\n", + "no negative: averaged time 2024-08-01 21:33:59.770164+00:00, HCHO col 9.9155e+15, unc 4.7065e+15\n", + "no Small: averaged time 2024-08-01 21:33:59.770164+00:00, HCHO col 9.9155e+15, unc 4.7065e+15\n", + "222142635_TEMPO_HCHO_L2_V04_20240801T193258Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.051193 -105.238327 -2.1793e+15 5.5499e+15 0\n", + " 10 692 40.030777 -105.233345 1.5492e+16 4.6630e+15 0\n", + " 11 691 40.049927 -105.295502 1.8317e+15 6.3621e+15 0\n", + " 11 692 40.030712 -105.291107 1.3475e+16 6.1284e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 19:33:59.115349+00:00, HCHO col 9.4213e+15, unc 5.1333e+15\n", + "no negative: averaged time 2024-08-01 19:34:00.769175+00:00, HCHO col 1.0266e+16, unc 5.7178e+15\n", + "no Small: averaged time 2024-08-01 19:34:00.263662+00:00, HCHO col 1.4484e+16, unc 5.3957e+15\n", + "222142638_TEMPO_HCHO_L2_V04_20240801T223258Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 693 40.043461 -105.231682 1.2252e+16 5.0934e+15 0\n", + " 10 694 40.023064 -105.226715 8.1082e+15 4.5952e+15 0\n", + " 11 693 40.043129 -105.291084 2.3380e+16 5.9547e+15 0\n", + " 11 694 40.023518 -105.286499 1.3568e+16 6.8941e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 22:34:02.375882+00:00, HCHO col 1.2100e+16, unc 5.3990e+15\n", + "no negative: averaged time 2024-08-01 22:34:02.375882+00:00, HCHO col 1.2100e+16, unc 5.3990e+15\n", + "no Small: averaged time 2024-08-01 22:34:02.375882+00:00, HCHO col 1.2100e+16, unc 5.3990e+15\n", + "222142639_TEMPO_HCHO_L2_V04_20240801T231303Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.037567 -105.218269 8.6237e+15 5.3862e+15 0\n", + " 9 694 40.017132 -105.213287 1.3711e+16 5.1199e+15 0\n", + " 10 693 40.038200 -105.277107 7.6452e+15 5.4407e+15 0\n", + " 10 694 40.017990 -105.272217 1.0109e+16 4.7181e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 23:14:07.973001+00:00, HCHO col 8.2672e+15, unc 5.3967e+15\n", + "no negative: averaged time 2024-08-01 23:14:07.973001+00:00, HCHO col 8.2672e+15, unc 5.3967e+15\n", + "no Small: averaged time 2024-08-01 23:14:07.973001+00:00, HCHO col 8.2672e+15, unc 5.3967e+15\n", + "222142640_TEMPO_HCHO_L2_V04_20240801T235308Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.047890 -105.220482 2.1369e+16 5.6977e+15 0\n", + " 10 693 40.027519 -105.215530 1.3532e+16 5.6693e+15 0\n", + " 11 692 40.048866 -105.279861 7.1162e+15 5.1378e+15 0\n", + " 11 693 40.028740 -105.275024 2.3995e+15 4.8130e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 23:54:12.965589+00:00, HCHO col 1.2660e+16, unc 5.3347e+15\n", + "no negative: averaged time 2024-08-01 23:54:12.965589+00:00, HCHO col 1.2660e+16, unc 5.3347e+15\n", + "no Small: averaged time 2024-08-01 23:54:12.966736+00:00, HCHO col 1.1425e+16, unc 5.4551e+15\n", + "222142636_TEMPO_HCHO_L2_V04_20240801T203258Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.048645 -105.213493 1.3210e+16 5.1769e+15 0\n", + " 9 693 40.028248 -105.208527 5.1698e+15 4.3887e+15 0\n", + " 10 692 40.050140 -105.273071 -5.1197e+14 5.1531e+15 0\n", + " 10 693 40.029926 -105.268181 6.2301e+15 4.8771e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-01 20:34:00.346133+00:00, HCHO col 9.0268e+15, unc 4.9694e+15\n", + "no negative: averaged time 2024-08-01 20:34:00.346133+00:00, HCHO col 9.0268e+15, unc 4.9694e+15\n", + "no Small: averaged time 2024-08-01 20:34:00.346133+00:00, HCHO col 9.0268e+15, unc 4.9694e+15\n", + "jobID = db85bee6-ddb5-436c-99a5-7a14f4b80ac8\n" ] }, { @@ -5104,148 +5248,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448632_TEMPO_HCHO_L2_V04_20240802T104614Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.027508 -76.302444 3.4122e+16 2.1803e+16 1\n", - " 10 847 37.008171 -76.306831 -9.8336e+14 1.3402e+16 1\n", - " 11 846 37.025940 -76.359329 -1.0120e+15 2.0279e+16 1\n", - " 11 847 37.006615 -76.363701 -2.0226e+16 2.3002e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222142793_TEMPO_HCHO_L2_V04_20240802T003313Z_S017G04_subsetted.nc\n", + "./222142794_TEMPO_HCHO_L2_V04_20240802T011318Z_S018G04_subsetted.nc\n", + "./222142795_TEMPO_HCHO_L2_V04_20240802T143312Z_S006G07_subsetted.nc\n", + "./222142798_TEMPO_HCHO_L2_V04_20240802T173312Z_S009G07_subsetted.nc\n", + "./222142796_TEMPO_HCHO_L2_V04_20240802T153312Z_S007G07_subsetted.nc\n", + "./222142797_TEMPO_HCHO_L2_V04_20240802T163312Z_S008G07_subsetted.nc\n", + "./222142800_TEMPO_HCHO_L2_V04_20240802T193312Z_S011G07_subsetted.nc\n", + "./222142799_TEMPO_HCHO_L2_V04_20240802T183312Z_S010G07_subsetted.nc\n", + "./222142801_TEMPO_HCHO_L2_V04_20240802T203312Z_S012G07_subsetted.nc\n", + "./222142802_TEMPO_HCHO_L2_V04_20240802T213312Z_S013G07_subsetted.nc\n", + "./222142803_TEMPO_HCHO_L2_V04_20240802T223312Z_S014G07_subsetted.nc\n", + "./222142804_TEMPO_HCHO_L2_V04_20240802T231317Z_S015G04_subsetted.nc\n", + "./222142805_TEMPO_HCHO_L2_V04_20240802T235322Z_S016G04_subsetted.nc\n", + "Number of result files: 13\n", + "222142793_TEMPO_HCHO_L2_V04_20240802T003313Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.045235 -105.208168 4.8667e+15 6.2857e+15 0\n", + " 9 693 40.024685 -105.203140 1.6300e+16 6.8777e+15 0\n", + " 10 692 40.046581 -105.267998 1.6797e+16 5.5987e+15 0\n", + " 10 693 40.026291 -105.263084 1.3391e+16 5.6646e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 00:34:18.575504+00:00, HCHO col 1.0592e+16, unc 5.9012e+15\n", + "no negative: averaged time 2024-08-02 00:34:18.575504+00:00, HCHO col 1.0592e+16, unc 5.9012e+15\n", + "no Small: averaged time 2024-08-02 00:34:18.576555+00:00, HCHO col 1.6543e+16, unc 6.1109e+15\n", + "222142794_TEMPO_HCHO_L2_V04_20240802T011318Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.055790 -105.212128 1.6078e+16 8.3767e+15 1\n", + " 9 693 40.035336 -105.207146 1.5604e+15 8.7321e+15 1\n", + " 10 692 40.056370 -105.272125 1.6294e+16 9.3141e+15 1\n", + " 10 693 40.036201 -105.267250 6.3355e+15 8.4035e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448637_TEMPO_HCHO_L2_V04_20240802T140642Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.026798 -76.284492 2.3191e+16 1.1428e+16 0\n", - " 9 847 37.007469 -76.288887 3.4895e+16 1.6209e+16 0\n", - " 10 846 37.024822 -76.341370 2.1064e+16 1.2030e+16 0\n", - " 10 847 37.005497 -76.345749 2.3386e+16 1.2906e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 14:08:10.402055+00:00, HCHO col 2.2814e+16, unc 1.2583e+16\n", - "no negative: averaged time 2024-08-02 14:08:10.402055+00:00, HCHO col 2.2814e+16, unc 1.2583e+16\n", - "no Small: averaged time 2024-08-02 14:08:10.402055+00:00, HCHO col 2.2814e+16, unc 1.2583e+16\n", - "178448633_TEMPO_HCHO_L2_V04_20240802T112619Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.026520 -76.332756 1.1294e+16 2.0398e+16 0\n", - " 10 846 37.007187 -76.337128 2.7002e+13 1.4127e+16 0\n", - " 11 845 37.025455 -76.389778 1.9237e+16 2.5569e+16 0\n", - " 11 846 37.006119 -76.394135 1.6847e+16 1.7056e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 11:27:50.851144+00:00, HCHO col 8.0370e+15, unc 1.8617e+16\n", - "no negative: averaged time 2024-08-02 11:27:50.851144+00:00, HCHO col 8.0370e+15, unc 1.8617e+16\n", + "222142795_TEMPO_HCHO_L2_V04_20240802T143312Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.046505 -105.208206 1.1113e+16 5.0249e+15 0\n", + " 9 692 40.025974 -105.203186 1.9447e+15 5.1267e+15 0\n", + " 10 691 40.047058 -105.268242 1.1640e+16 5.4908e+15 0\n", + " 10 692 40.026764 -105.263321 9.1709e+15 4.9099e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 14:34:08.499119+00:00, HCHO col 1.0293e+16, unc 5.0374e+15\n", + "no negative: averaged time 2024-08-02 14:34:08.499119+00:00, HCHO col 1.0293e+16, unc 5.0374e+15\n", + "no Small: averaged time 2024-08-02 14:34:08.499119+00:00, HCHO col 1.0293e+16, unc 5.0374e+15\n", + "222142798_TEMPO_HCHO_L2_V04_20240802T173312Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.043819 -105.240814 1.4794e+16 4.4976e+15 0\n", + " 10 693 40.023464 -105.235855 7.3980e+15 4.6357e+15 0\n", + " 11 692 40.042820 -105.299141 8.0612e+15 5.8398e+15 0\n", + " 11 693 40.023006 -105.294449 1.1986e+16 5.7339e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 17:34:12.886099+00:00, HCHO col 1.2718e+16, unc 4.5913e+15\n", + "no negative: averaged time 2024-08-02 17:34:12.886099+00:00, HCHO col 1.2718e+16, unc 4.5913e+15\n", + "no Small: averaged time 2024-08-02 17:34:12.886099+00:00, HCHO col 1.2718e+16, unc 4.5913e+15\n", + "222142796_TEMPO_HCHO_L2_V04_20240802T153312Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 690 40.053764 -105.192657 9.2850e+15 5.5030e+15 0\n", + " 9 691 40.033134 -105.187584 5.2217e+15 5.1481e+15 0\n", + " 10 690 40.054653 -105.251617 1.0074e+16 5.0972e+15 0\n", + " 10 691 40.034302 -105.246666 1.4425e+16 5.2098e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 15:34:09.425043+00:00, HCHO col 1.3650e+16, unc 5.2293e+15\n", + "no negative: averaged time 2024-08-02 15:34:09.425043+00:00, HCHO col 1.3650e+16, unc 5.2293e+15\n", + "no Small: averaged time 2024-08-02 15:34:09.425043+00:00, HCHO col 1.3650e+16, unc 5.2293e+15\n", + "222142797_TEMPO_HCHO_L2_V04_20240802T163312Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.052883 -105.212860 1.2334e+16 5.7637e+15 0\n", + " 9 692 40.032459 -105.207886 5.4592e+15 5.1531e+15 0\n", + " 10 691 40.053299 -105.272408 -1.4524e+15 5.3763e+15 0\n", + " 10 692 40.033100 -105.267532 1.7103e+16 5.5394e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 16:34:11.395241+00:00, HCHO col 1.3473e+16, unc 5.5068e+15\n", + "no negative: averaged time 2024-08-02 16:34:11.395241+00:00, HCHO col 1.3473e+16, unc 5.5068e+15\n", + "no Small: averaged time 2024-08-02 16:34:11.395241+00:00, HCHO col 1.3473e+16, unc 5.5068e+15\n", + "222142800_TEMPO_HCHO_L2_V04_20240802T193312Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.049530 -105.225143 4.4734e+15 4.7582e+15 0\n", + " 10 693 40.029095 -105.220154 1.1827e+16 4.4560e+15 0\n", + " 11 692 40.050549 -105.284470 6.7811e+15 4.9083e+15 0\n", + " 11 693 40.030491 -105.279655 8.9732e+15 5.2251e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 19:34:13.757793+00:00, HCHO col 8.0156e+15, unc 4.8307e+15\n", + "no negative: averaged time 2024-08-02 19:34:13.757793+00:00, HCHO col 8.0156e+15, unc 4.8307e+15\n", + "no Small: averaged time 2024-08-02 19:34:14.765055+00:00, HCHO col 9.1937e+15, unc 4.8631e+15\n", + "222142799_TEMPO_HCHO_L2_V04_20240802T183312Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.048077 -105.204964 6.4651e+14 5.9037e+15 0\n", + " 9 692 40.027542 -105.199928 1.2811e+16 5.2062e+15 0\n", + " 10 691 40.049301 -105.264549 7.5525e+15 4.7364e+15 0\n", + " 10 692 40.029041 -105.259636 8.4532e+15 4.2685e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 18:34:11.739692+00:00, HCHO col 5.7659e+15, unc 4.8609e+15\n", + "no negative: averaged time 2024-08-02 18:34:11.739692+00:00, HCHO col 5.7659e+15, unc 4.8609e+15\n", + "no Small: averaged time 2024-08-02 18:34:11.740633+00:00, HCHO col 9.5008e+15, unc 4.7864e+15\n", + "222142801_TEMPO_HCHO_L2_V04_20240802T203312Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.051773 -105.222816 1.0514e+16 4.7226e+15 0\n", + " 10 693 40.031353 -105.217834 7.3718e+15 4.9944e+15 0\n", + " 11 692 40.052284 -105.282463 3.9943e+15 5.3813e+15 0\n", + " 11 693 40.032185 -105.277626 1.3533e+16 8.6141e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 20:34:13.897395+00:00, HCHO col 1.0612e+16, unc 6.2936e+15\n", + "no negative: averaged time 2024-08-02 20:34:13.897395+00:00, HCHO col 1.0612e+16, unc 6.2936e+15\n", + "no Small: averaged time 2024-08-02 20:34:13.897395+00:00, HCHO col 1.0612e+16, unc 6.2936e+15\n", + "222142802_TEMPO_HCHO_L2_V04_20240802T213312Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.042023 -105.225281 1.3106e+16 1.3561e+16 0\n", + " 10 693 40.021660 -105.220322 1.3414e+16 1.1994e+16 0\n", + " 11 692 40.043224 -105.284439 -2.8320e+15 4.5177e+16 0\n", + " 11 693 40.023251 -105.279671 -1.0172e+16 3.6971e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 21:34:13.657053+00:00, HCHO col 6.4919e+15, unc 2.1112e+16\n", + "no negative: averaged time 2024-08-02 21:34:12.740045+00:00, HCHO col 1.3260e+16, unc 1.2777e+16\n", + "no Small: averaged time 2024-08-02 21:34:12.740045+00:00, HCHO col 1.3414e+16, unc 1.1994e+16\n", + "222142803_TEMPO_HCHO_L2_V04_20240802T223312Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 694 40.038906 -105.194832 1.1445e+16 4.9858e+16 0\n", + " 9 695 40.018047 -105.189636 -2.2713e+16 6.4966e+16 0\n", + " 10 694 40.039928 -105.254433 1.7074e+16 4.6404e+16 0\n", + " 10 695 40.019588 -105.249481 4.2138e+16 4.9551e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 22:34:15.168290+00:00, HCHO col 1.8692e+16, unc 4.7437e+16\n", + "no negative: averaged time 2024-08-02 22:34:15.168290+00:00, HCHO col 1.8692e+16, unc 4.7437e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448634_TEMPO_HCHO_L2_V04_20240802T120624Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.027931 -76.290161 1.3841e+16 9.7383e+15 0\n", - " 10 847 37.008587 -76.294548 7.5432e+15 1.3117e+16 0\n", - " 11 846 37.026779 -76.346947 2.2814e+16 1.7787e+16 0\n", - " 11 847 37.007442 -76.351318 3.0196e+16 1.1557e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 12:07:58.104721+00:00, HCHO col 2.0644e+16, unc 1.5949e+16\n", - "no negative: averaged time 2024-08-02 12:07:58.104721+00:00, HCHO col 2.0644e+16, unc 1.5949e+16\n", - "no Small: averaged time 2024-08-02 12:07:58.104873+00:00, HCHO col 2.3504e+16, unc 1.3940e+16\n", - "178448636_TEMPO_HCHO_L2_V04_20240802T132634Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.026909 -76.280388 1.3604e+16 7.6808e+15 0\n", - " 9 847 37.007576 -76.284782 7.2992e+15 1.2386e+16 0\n", - " 10 846 37.024792 -76.337585 2.8810e+16 1.3657e+16 0\n", - " 10 847 37.005463 -76.341957 1.8398e+16 9.5742e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 13:28:05.604803+00:00, HCHO col 2.5958e+16, unc 1.2792e+16\n", - "no negative: averaged time 2024-08-02 13:28:05.604803+00:00, HCHO col 2.5958e+16, unc 1.2792e+16\n", - "no Small: averaged time 2024-08-02 13:28:05.604844+00:00, HCHO col 2.5814e+16, unc 1.2482e+16\n", - "178448635_TEMPO_HCHO_L2_V04_20240802T124629Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026012 -76.311607 4.0731e+16 1.4344e+16 0\n", - " 10 847 37.006683 -76.315994 1.3492e+16 1.4560e+16 0\n", - " 11 846 37.024601 -76.369064 1.1806e+16 2.6177e+16 0\n", - " 11 847 37.005268 -76.373436 1.2210e+16 2.5084e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 12:48:01.967325+00:00, HCHO col 2.1510e+16, unc 1.9309e+16\n", - "no negative: averaged time 2024-08-02 12:48:01.967325+00:00, HCHO col 2.1510e+16, unc 1.9309e+16\n", - "no Small: averaged time 2024-08-02 12:48:00.709427+00:00, HCHO col 4.0731e+16, unc 1.4344e+16\n", - "178448638_TEMPO_HCHO_L2_V04_20240802T150642Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.037560 -76.276314 2.1347e+16 1.5586e+16 0\n", - " 9 846 37.018230 -76.280716 1.4448e+16 7.4728e+15 0\n", - " 10 845 37.035511 -76.334320 2.5762e+16 1.6523e+16 0\n", - " 10 846 37.016186 -76.338692 2.3689e+16 1.0582e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 15:08:10.647762+00:00, HCHO col 2.3939e+16, unc 1.1771e+16\n", - "no negative: averaged time 2024-08-02 15:08:10.647762+00:00, HCHO col 2.3939e+16, unc 1.1771e+16\n", - "no Small: averaged time 2024-08-02 15:08:10.647762+00:00, HCHO col 2.3939e+16, unc 1.1771e+16\n", - "178448639_TEMPO_HCHO_L2_V04_20240802T160642Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.038471 -76.314484 1.3818e+16 8.5205e+15 0\n", - " 10 846 37.019142 -76.318871 1.8669e+16 7.5414e+15 0\n", - " 11 845 37.036678 -76.372337 1.8468e+16 8.0714e+15 0\n", - " 11 846 37.017349 -76.376709 -4.1993e+15 1.3429e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 16:08:11.672205+00:00, HCHO col 1.3522e+16, unc 8.9091e+15\n", - "no negative: averaged time 2024-08-02 16:08:11.733095+00:00, HCHO col 1.6985e+16, unc 8.0444e+15\n", - "no Small: averaged time 2024-08-02 16:08:11.733095+00:00, HCHO col 1.6985e+16, unc 8.0444e+15\n", - "178448640_TEMPO_HCHO_L2_V04_20240802T170642Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.030067 -76.305511 1.7599e+16 1.0422e+16 0\n", - " 10 847 37.010746 -76.309898 1.7825e+16 2.6168e+16 0\n", - " 11 846 37.028156 -76.363396 9.5381e+15 1.3222e+16 0\n", - " 11 847 37.008835 -76.367760 1.5965e+16 2.6666e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 17:08:12.240252+00:00, HCHO col 1.3651e+16, unc 1.9006e+16\n", - "no negative: averaged time 2024-08-02 17:08:12.240252+00:00, HCHO col 1.3651e+16, unc 1.9006e+16\n", - "no Small: averaged time 2024-08-02 17:08:10.716026+00:00, HCHO col 1.7599e+16, unc 1.0422e+16\n", - "178448641_TEMPO_HCHO_L2_V04_20240802T180642Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.036850 -76.313477 1.7595e+16 6.2982e+15 0\n", - " 10 846 37.017529 -76.317863 2.3000e+16 5.3062e+15 0\n", - " 11 845 37.035526 -76.369987 2.8086e+16 1.9926e+16 0\n", - " 11 846 37.016205 -76.374352 9.0779e+15 3.6160e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 18:08:11.761677+00:00, HCHO col 2.1378e+16, unc 1.3226e+16\n", - "no negative: averaged time 2024-08-02 18:08:11.761677+00:00, HCHO col 2.1378e+16, unc 1.3226e+16\n", - "no Small: averaged time 2024-08-02 18:08:11.727518+00:00, HCHO col 2.2894e+16, unc 1.0510e+16\n", - "178448642_TEMPO_HCHO_L2_V04_20240802T190642Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.027603 -76.277283 1.5570e+16 5.4367e+15 0\n", - " 9 847 37.008293 -76.281670 1.6779e+16 5.5101e+15 0\n", - " 10 846 37.025768 -76.335526 1.7460e+16 5.4005e+15 0\n", - " 10 847 37.006470 -76.339890 2.3292e+16 4.7547e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 19:08:13.737345+00:00, HCHO col 1.9096e+16, unc 5.2195e+15\n", - "no negative: averaged time 2024-08-02 19:08:13.737345+00:00, HCHO col 1.9096e+16, unc 5.2195e+15\n", - "no Small: averaged time 2024-08-02 19:08:13.737345+00:00, HCHO col 1.9096e+16, unc 5.2195e+15\n", - "178448643_TEMPO_HCHO_L2_V04_20240802T200642Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.030102 -76.327271 1.8954e+16 5.3991e+16 0\n", - " 10 847 37.010796 -76.331650 2.4201e+16 2.5482e+16 0\n", - " 11 846 37.028404 -76.383568 2.3845e+16 1.3447e+16 0\n", - " 11 847 37.009098 -76.387924 2.2100e+16 1.4622e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 20:08:14.132404+00:00, HCHO col 2.2181e+16, unc 3.4683e+16\n", - "no negative: averaged time 2024-08-02 20:08:14.132404+00:00, HCHO col 2.2181e+16, unc 3.4683e+16\n", - "no Small: averaged time 2024-08-02 20:08:16.779986+00:00, HCHO col 2.2972e+16, unc 1.4035e+16\n", - "178448644_TEMPO_HCHO_L2_V04_20240802T210642Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034775 -76.330849 3.1503e+16 7.7881e+15 0\n", - " 10 846 37.015472 -76.335228 3.2103e+16 7.9479e+15 0\n", - " 11 845 37.033566 -76.388359 2.7910e+16 6.9548e+15 0\n", - " 11 846 37.014271 -76.392700 2.4315e+16 6.7413e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 21:08:13.874587+00:00, HCHO col 3.1797e+16, unc 7.8716e+15\n", - "no negative: averaged time 2024-08-02 21:08:13.874587+00:00, HCHO col 3.1797e+16, unc 7.8716e+15\n", - "no Small: averaged time 2024-08-02 21:08:13.874587+00:00, HCHO col 3.1797e+16, unc 7.8716e+15\n", - "178448645_TEMPO_HCHO_L2_V04_20240802T220642Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 847 37.028057 -76.300697 2.3010e+16 8.5509e+15 0\n", - " 10 848 37.008739 -76.305077 7.9897e+15 7.8554e+15 0\n", - " 11 847 37.026157 -76.357246 1.5257e+16 8.6214e+15 0\n", - " 11 848 37.006847 -76.361610 1.7458e+16 5.5276e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-02 22:08:15.590124+00:00, HCHO col 1.3160e+16, unc 8.3561e+15\n", - "no negative: averaged time 2024-08-02 22:08:15.590124+00:00, HCHO col 1.3160e+16, unc 8.3561e+15\n", - "no Small: averaged time 2024-08-02 22:08:15.590124+00:00, HCHO col 1.3160e+16, unc 8.3561e+15\n", - "jobID = 26c34c54-f892-4771-a1fb-a1a024041246\n" + "222142804_TEMPO_HCHO_L2_V04_20240802T231317Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.056980 -105.224335 1.3058e+16 5.2718e+15 0\n", + " 10 693 40.036407 -105.219276 1.3803e+16 5.3763e+15 0\n", + " 11 692 40.057262 -105.283333 5.0261e+13 5.9290e+15 0\n", + " 11 693 40.037109 -105.278465 6.6940e+14 3.7088e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 23:14:21.895348+00:00, HCHO col 8.7758e+15, unc 1.7438e+16\n", + "no negative: averaged time 2024-08-02 23:14:21.895348+00:00, HCHO col 8.7758e+15, unc 1.7438e+16\n", + "no Small: averaged time 2024-08-02 23:14:20.741302+00:00, HCHO col 1.3430e+16, unc 5.3240e+15\n", + "222142805_TEMPO_HCHO_L2_V04_20240802T235322Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.039036 -105.196007 1.1694e+16 5.0851e+15 0\n", + " 9 694 40.018188 -105.190819 1.9112e+16 6.4997e+15 0\n", + " 10 693 40.039902 -105.255470 1.4280e+16 7.7433e+15 0\n", + " 10 694 40.019558 -105.250534 1.3280e+15 6.7501e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-02 23:54:28.118668+00:00, HCHO col 1.2308e+16, unc 7.0571e+15\n", + "no negative: averaged time 2024-08-02 23:54:28.118668+00:00, HCHO col 1.2308e+16, unc 7.0571e+15\n", + "no Small: averaged time 2024-08-02 23:54:28.119373+00:00, HCHO col 1.4506e+16, unc 7.3160e+15\n", + "jobID = f27c95ba-925a-4e8d-9ede-61e8084c3bde\n" ] }, { @@ -5259,128 +5406,129 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 12\n", - "178448730_TEMPO_HCHO_L2_V04_20240803T104630Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.029396 -76.284454 -4.3929e+15 1.2365e+16 1\n", - " 10 846 37.010063 -76.288841 2.3149e+16 1.2894e+16 1\n", - " 11 845 37.028156 -76.341454 4.1294e+16 1.3803e+16 1\n", - " 11 846 37.008823 -76.345825 4.1257e+15 1.1992e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222142929_TEMPO_HCHO_L2_V04_20240803T011332Z_S018G04_subsetted.nc\n", + "./222142928_TEMPO_HCHO_L2_V04_20240803T003327Z_S017G04_subsetted.nc\n", + "./222142930_TEMPO_HCHO_L2_V04_20240803T143405Z_S006G07_subsetted.nc\n", + "./222142931_TEMPO_HCHO_L2_V04_20240803T173328Z_S008G07_subsetted.nc\n", + "./222142932_TEMPO_HCHO_L2_V04_20240803T183328Z_S009G07_subsetted.nc\n", + "./222142933_TEMPO_HCHO_L2_V04_20240803T193328Z_S010G07_subsetted.nc\n", + "./222142934_TEMPO_HCHO_L2_V04_20240803T203328Z_S011G07_subsetted.nc\n", + "./222142936_TEMPO_HCHO_L2_V04_20240803T223328Z_S013G07_subsetted.nc\n", + "./222142938_TEMPO_HCHO_L2_V04_20240803T235338Z_S015G04_subsetted.nc\n", + "./222142935_TEMPO_HCHO_L2_V04_20240803T213328Z_S012G07_subsetted.nc\n", + "./222142937_TEMPO_HCHO_L2_V04_20240803T231333Z_S014G04_subsetted.nc\n", + "Number of result files: 11\n", + "222142929_TEMPO_HCHO_L2_V04_20240803T011332Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 693 40.038643 -105.223137 1.5015e+16 1.9662e+16 1\n", + " 10 694 40.018250 -105.218178 1.2932e+16 1.2437e+16 1\n", + " 11 693 40.039967 -105.283272 1.4933e+16 8.8716e+15 1\n", + " 11 694 40.019966 -105.278496 1.4321e+16 1.2019e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448731_TEMPO_HCHO_L2_V04_20240803T112635Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 844 37.039223 -76.281593 3.3103e+15 6.1449e+15 0\n", - " 9 845 37.019882 -76.285980 6.3688e+15 7.6587e+15 0\n", - " 10 844 37.037853 -76.337349 2.1850e+16 7.1252e+15 0\n", - " 10 845 37.018513 -76.341713 3.2562e+16 8.2779e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 11:28:06.456454+00:00, HCHO col 2.9411e+16, unc 8.1257e+15\n", - "no negative: averaged time 2024-08-03 11:28:06.456454+00:00, HCHO col 2.9411e+16, unc 8.1257e+15\n", - "no Small: averaged time 2024-08-03 11:28:06.714192+00:00, HCHO col 2.7206e+16, unc 7.7016e+15\n", - "178448732_TEMPO_HCHO_L2_V04_20240803T120640Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.026886 -76.284821 1.3384e+16 4.1648e+15 0\n", - " 9 847 37.007545 -76.289215 9.3881e+15 4.8596e+15 0\n", - " 10 846 37.025326 -76.342712 1.8690e+16 4.5021e+15 0\n", - " 10 847 37.005985 -76.347084 7.1057e+15 4.8968e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 12:08:14.366665+00:00, HCHO col 1.5850e+16, unc 4.6040e+15\n", - "no negative: averaged time 2024-08-03 12:08:14.366665+00:00, HCHO col 1.5850e+16, unc 4.6040e+15\n", - "no Small: averaged time 2024-08-03 12:08:14.366665+00:00, HCHO col 1.5850e+16, unc 4.6040e+15\n", - "178448734_TEMPO_HCHO_L2_V04_20240803T132650Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.040352 -76.281006 1.7214e+16 4.4413e+15 0\n", - " 9 846 37.021019 -76.285408 1.3029e+16 4.8871e+15 0\n", - " 10 845 37.039024 -76.338074 1.2252e+16 5.0620e+15 0\n", - " 10 846 37.019691 -76.342453 3.5802e+16 2.0212e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 13:28:21.414914+00:00, HCHO col 3.2930e+16, unc 1.8297e+16\n", - "no negative: averaged time 2024-08-03 13:28:21.414914+00:00, HCHO col 3.2930e+16, unc 1.8297e+16\n", - "no Small: averaged time 2024-08-03 13:28:21.414914+00:00, HCHO col 3.2930e+16, unc 1.8297e+16\n", - "178448733_TEMPO_HCHO_L2_V04_20240803T124645Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026855 -76.332207 2.0021e+16 4.3654e+15 0\n", - " 10 847 37.007534 -76.336578 2.2754e+16 3.6242e+15 0\n", - " 11 846 37.024570 -76.389435 1.1742e+16 4.8001e+15 0\n", - " 11 847 37.005241 -76.393791 1.7038e+16 4.7421e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 12:48:16.873697+00:00, HCHO col 2.0507e+16, unc 4.1407e+15\n", - "no negative: averaged time 2024-08-03 12:48:16.873697+00:00, HCHO col 2.0507e+16, unc 4.1407e+15\n", - "no Small: averaged time 2024-08-03 12:48:16.873697+00:00, HCHO col 2.0507e+16, unc 4.1407e+15\n", - "178448735_TEMPO_HCHO_L2_V04_20240803T140711Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.036854 -76.283165 1.4147e+16 7.3066e+15 0\n", - " 9 846 37.017525 -76.287567 1.3763e+16 5.0662e+15 0\n", - " 10 845 37.035000 -76.339844 2.1863e+16 2.4422e+16 0\n", - " 10 846 37.015671 -76.344223 2.3461e+16 4.4140e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 14:08:27.368114+00:00, HCHO col 2.1962e+16, unc 9.0577e+15\n", - "no negative: averaged time 2024-08-03 14:08:27.368114+00:00, HCHO col 2.1962e+16, unc 9.0577e+15\n", - "no Small: averaged time 2024-08-03 14:08:25.700647+00:00, HCHO col 1.7123e+16, unc 5.5956e+15\n", - "178448736_TEMPO_HCHO_L2_V04_20240803T170658Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.023804 -76.297417 1.2557e+16 1.0204e+16 0\n", - " 10 847 37.004478 -76.301811 1.9296e+16 2.1133e+16 0\n", - " 11 846 37.021683 -76.354828 2.6028e+16 1.7812e+16 0\n", - " 11 847 37.002365 -76.359200 1.2375e+16 9.6575e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 17:08:28.755364+00:00, HCHO col 2.2363e+16, unc 1.6506e+16\n", - "no negative: averaged time 2024-08-03 17:08:28.755364+00:00, HCHO col 2.2363e+16, unc 1.6506e+16\n", - "no Small: averaged time 2024-08-03 17:08:28.755485+00:00, HCHO col 2.0175e+16, unc 1.4459e+16\n", - "178448739_TEMPO_HCHO_L2_V04_20240803T200658Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035030 -76.322464 1.7541e+16 2.4278e+16 0\n", - " 10 846 37.015697 -76.326851 1.4550e+16 1.0656e+16 0\n", - " 11 845 37.033958 -76.379570 1.9066e+16 1.5601e+16 0\n", - " 11 846 37.014637 -76.383926 1.7105e+16 8.2248e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 20:08:30.330103+00:00, HCHO col 1.5583e+16, unc 1.2395e+16\n", - "no negative: averaged time 2024-08-03 20:08:30.330103+00:00, HCHO col 1.5583e+16, unc 1.2395e+16\n", - "no Small: averaged time 2024-08-03 20:08:31.776538+00:00, HCHO col 1.6907e+16, unc 1.1494e+16\n", - "178448737_TEMPO_HCHO_L2_V04_20240803T180658Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.037987 -76.279572 9.6827e+15 2.0755e+16 0\n", - " 9 846 37.018661 -76.283974 1.0174e+16 3.8939e+16 0\n", - " 10 845 37.036236 -76.337364 1.3311e+16 1.0598e+16 0\n", - " 10 846 37.016918 -76.341743 2.2482e+16 1.7403e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 18:08:29.524815+00:00, HCHO col 2.0001e+16, unc 1.7901e+16\n", - "no negative: averaged time 2024-08-03 18:08:29.524815+00:00, HCHO col 2.0001e+16, unc 1.7901e+16\n", - "no Small: averaged time 2024-08-03 18:08:29.756193+00:00, HCHO col 1.7896e+16, unc 1.4001e+16\n", - "178448740_TEMPO_HCHO_L2_V04_20240803T210658Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.037525 -76.324219 2.8792e+16 4.4266e+16 0\n", - " 10 846 37.018192 -76.328606 5.8709e+16 5.0874e+16 0\n", - " 11 845 37.035965 -76.381386 1.9040e+15 5.9756e+16 0\n", - " 11 846 37.016651 -76.385742 -1.2499e+16 5.6750e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 21:08:30.204650+00:00, HCHO col 4.9832e+16, unc 5.2114e+16\n", - "no negative: averaged time 2024-08-03 21:08:30.763308+00:00, HCHO col 2.9802e+16, unc 5.1632e+16\n", - "no Small: averaged time 2024-08-03 21:08:29.752285+00:00, HCHO col 5.8709e+16, unc 5.0874e+16\n", - "178448738_TEMPO_HCHO_L2_V04_20240803T190658Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.029915 -76.280296 2.9436e+16 1.6016e+16 0\n", - " 9 846 37.010597 -76.284691 1.3730e+16 1.6499e+16 0\n", - " 10 845 37.028267 -76.337387 3.0599e+16 1.2566e+16 0\n", - " 10 846 37.008949 -76.341759 1.7538e+16 1.0671e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 19:08:29.615290+00:00, HCHO col 2.4987e+16, unc 1.2044e+16\n", - "no negative: averaged time 2024-08-03 19:08:29.615290+00:00, HCHO col 2.4987e+16, unc 1.2044e+16\n", - "no Small: averaged time 2024-08-03 19:08:29.615346+00:00, HCHO col 2.5108e+16, unc 1.1935e+16\n", - "178448741_TEMPO_HCHO_L2_V04_20240803T220658Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022011 -76.328629 -2.4140e+16 5.8894e+16 0\n", - " 10 847 37.002720 -76.332985 2.1164e+16 3.0394e+16 0\n", - " 11 846 37.020699 -76.385254 2.2863e+16 5.2512e+16 0\n", - " 11 847 37.001381 -76.389610 2.8307e+16 3.7038e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-03 22:08:30.158524+00:00, HCHO col -1.4208e+16, unc 5.5768e+16\n", - "no negative: averaged time 2024-08-03 22:08:31.772143+00:00, HCHO col 2.4111e+16, unc 3.9981e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "jobID = 9be38dd3-5062-4001-9607-fcae259af621\n" + "222142928_TEMPO_HCHO_L2_V04_20240803T003327Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.039223 -105.199562 7.8792e+15 6.3200e+15 0\n", + " 9 694 40.018440 -105.194412 2.2812e+16 9.0585e+15 0\n", + " 10 693 40.040295 -105.258644 2.6449e+15 9.1998e+15 0\n", + " 10 694 40.019951 -105.253693 1.7097e+16 2.6763e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 00:34:32.959684+00:00, HCHO col 5.8441e+15, unc 1.0580e+16\n", + "no negative: averaged time 2024-08-03 00:34:32.959684+00:00, HCHO col 5.8441e+15, unc 1.0580e+16\n", + "no Small: averaged time 2024-08-03 00:34:30.749782+00:00, HCHO col 1.5345e+16, unc 7.6893e+15\n", + "222142930_TEMPO_HCHO_L2_V04_20240803T143405Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 6 691 40.041260 -105.197647 -4.0839e+15 5.7326e+15 1\n", + " 6 692 40.020473 -105.192490 8.0682e+15 5.6341e+15 0\n", + " 7 691 40.043068 -105.258507 4.3540e+15 5.3590e+15 0\n", + " 7 692 40.022739 -105.253571 1.3596e+16 5.4207e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 14:34:25.708539+00:00, HCHO col 8.6728e+15, unc 5.4713e+15\n", + "no negative: averaged time 2024-08-03 14:34:25.708539+00:00, HCHO col 8.6728e+15, unc 5.4713e+15\n", + "no Small: averaged time 2024-08-03 14:34:25.203028+00:00, HCHO col 1.0832e+16, unc 5.5274e+15\n", + "222142931_TEMPO_HCHO_L2_V04_20240803T173328Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.048634 -105.225014 1.1537e+16 6.1408e+15 0\n", + " 10 693 40.028198 -105.220039 1.3435e+16 5.2697e+15 0\n", + " 11 692 40.049713 -105.284203 1.2586e+16 5.4419e+15 0\n", + " 11 693 40.029667 -105.279396 1.5292e+16 5.3664e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 17:34:29.751871+00:00, HCHO col 1.3236e+16, unc 5.6776e+15\n", + "no negative: averaged time 2024-08-03 17:34:29.751871+00:00, HCHO col 1.3236e+16, unc 5.6776e+15\n", + "no Small: averaged time 2024-08-03 17:34:29.751871+00:00, HCHO col 1.3236e+16, unc 5.6776e+15\n", + "222142932_TEMPO_HCHO_L2_V04_20240803T183328Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.038692 -105.234650 7.6134e+15 5.8553e+15 0\n", + " 10 693 40.018288 -105.229683 1.4685e+16 5.3187e+15 0\n", + " 11 692 40.038830 -105.292953 1.6709e+16 6.7474e+15 0\n", + " 11 693 40.019062 -105.288300 1.4363e+16 6.2908e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 18:34:29.150619+00:00, HCHO col 8.6608e+15, unc 5.9442e+15\n", + "no negative: averaged time 2024-08-03 18:34:29.150619+00:00, HCHO col 8.6608e+15, unc 5.9442e+15\n", + "no Small: averaged time 2024-08-03 18:34:29.150619+00:00, HCHO col 8.6608e+15, unc 5.9442e+15\n", + "222142933_TEMPO_HCHO_L2_V04_20240803T193328Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.039085 -105.219421 1.0234e+16 6.8207e+15 0\n", + " 10 693 40.018677 -105.214447 3.9627e+15 6.5023e+15 0\n", + " 11 692 40.040527 -105.278664 2.2798e+15 7.1016e+15 0\n", + " 11 693 40.020348 -105.273788 9.3964e+15 7.1372e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 19:34:29.933488+00:00, HCHO col 7.8899e+15, unc 6.9340e+15\n", + "no negative: averaged time 2024-08-03 19:34:29.933488+00:00, HCHO col 7.8899e+15, unc 6.9340e+15\n", + "no Small: averaged time 2024-08-03 19:34:30.267485+00:00, HCHO col 9.8150e+15, unc 6.9790e+15\n", + "222142934_TEMPO_HCHO_L2_V04_20240803T203328Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046066 -105.201958 -9.0416e+14 5.7666e+15 0\n", + " 9 693 40.025455 -105.196884 7.5433e+15 6.0684e+15 0\n", + " 10 692 40.046848 -105.261360 1.9431e+16 5.8584e+15 0\n", + " 10 693 40.026566 -105.256439 9.3516e+15 5.3254e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 20:34:30.908643+00:00, HCHO col 9.0277e+15, unc 5.5922e+15\n", + "no negative: averaged time 2024-08-03 20:34:30.909721+00:00, HCHO col 1.4423e+16, unc 5.8353e+15\n", + "no Small: averaged time 2024-08-03 20:34:30.909721+00:00, HCHO col 1.4423e+16, unc 5.8353e+15\n", + "222142936_TEMPO_HCHO_L2_V04_20240803T223328Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.041443 -105.230095 8.5307e+15 8.0840e+15 0\n", + " 10 693 40.021057 -105.225136 1.3861e+16 5.9844e+15 0\n", + " 11 692 40.042355 -105.289444 1.2476e+16 6.8864e+15 0\n", + " 11 693 40.022549 -105.284752 2.3215e+16 6.6492e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 22:34:29.404140+00:00, HCHO col 1.1633e+16, unc 7.7744e+15\n", + "no negative: averaged time 2024-08-03 22:34:29.404140+00:00, HCHO col 1.1633e+16, unc 7.7744e+15\n", + "no Small: averaged time 2024-08-03 22:34:29.404140+00:00, HCHO col 1.1633e+16, unc 7.7744e+15\n", + "222142938_TEMPO_HCHO_L2_V04_20240803T235338Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.051739 -105.229523 1.6130e+15 5.3651e+15 0\n", + " 10 693 40.031231 -105.224495 4.1515e+15 6.5168e+15 0\n", + " 11 692 40.052055 -105.288498 1.3877e+16 6.4614e+15 0\n", + " 11 693 40.032089 -105.283722 2.0290e+16 5.3981e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 23:54:42.575610+00:00, HCHO col 7.7708e+15, unc 5.8751e+15\n", + "no negative: averaged time 2024-08-03 23:54:42.575610+00:00, HCHO col 7.7708e+15, unc 5.8751e+15\n", + "no Small: averaged time 2024-08-03 23:54:44.788016+00:00, HCHO col 1.7083e+16, unc 5.9298e+15\n", + "222142935_TEMPO_HCHO_L2_V04_20240803T213328Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.052319 -105.222305 1.4891e+16 5.1068e+15 0\n", + " 10 693 40.031891 -105.217316 1.0938e+16 6.5997e+15 0\n", + " 11 692 40.052547 -105.280594 1.1281e+16 6.9911e+15 0\n", + " 11 693 40.032429 -105.275757 1.2901e+16 7.4427e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 21:34:29.961111+00:00, HCHO col 1.2767e+16, unc 6.5425e+15\n", + "no negative: averaged time 2024-08-03 21:34:29.961111+00:00, HCHO col 1.2767e+16, unc 6.5425e+15\n", + "no Small: averaged time 2024-08-03 21:34:29.961111+00:00, HCHO col 1.2767e+16, unc 6.5425e+15\n", + "222142937_TEMPO_HCHO_L2_V04_20240803T231333Z_S014G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.048962 -105.193687 2.2589e+15 5.8896e+15 0\n", + " 9 693 40.028233 -105.188553 9.0122e+15 5.1985e+15 0\n", + " 10 692 40.050079 -105.252884 1.4655e+16 6.4523e+15 0\n", + " 10 693 40.029747 -105.247940 2.5401e+15 5.2141e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-03 23:14:36.347692+00:00, HCHO col 5.6018e+15, unc 5.6205e+15\n", + "no negative: averaged time 2024-08-03 23:14:36.347692+00:00, HCHO col 5.6018e+15, unc 5.6205e+15\n", + "no Small: averaged time 2024-08-03 23:14:35.233952+00:00, HCHO col 1.1833e+16, unc 5.8254e+15\n", + "jobID = 82e94544-d898-41c2-bcb8-778bb83621e7\n" ] }, { @@ -5394,148 +5542,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448746_TEMPO_HCHO_L2_V04_20240804T112649Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.022614 -76.293747 2.4252e+16 1.6942e+16 0\n", - " 10 846 37.003288 -76.298126 1.5651e+16 2.1659e+16 0\n", - " 11 845 37.021034 -76.351196 1.0143e+16 1.5884e+16 0\n", - " 11 846 37.001705 -76.355568 2.2682e+16 1.1260e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 11:28:19.937163+00:00, HCHO col 1.3283e+16, unc 1.6436e+16\n", - "no negative: averaged time 2024-08-04 11:28:19.937163+00:00, HCHO col 1.3283e+16, unc 1.6436e+16\n", - "no Small: averaged time 2024-08-04 11:28:19.204915+00:00, HCHO col 2.3467e+16, unc 1.4101e+16\n", - "178448745_TEMPO_HCHO_L2_V04_20240804T104644Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.027203 -76.306503 -7.0569e+15 1.4148e+16 1\n", - " 10 846 37.007893 -76.310890 1.1990e+16 1.7346e+16 1\n", - " 11 845 37.025780 -76.362854 1.6020e+15 1.6213e+16 1\n", - " 11 846 37.006470 -76.367210 1.4287e+16 1.4212e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222143097_TEMPO_HCHO_L2_V04_20240804T003343Z_S016G04_subsetted.nc\n", + "./222143099_TEMPO_HCHO_L2_V04_20240804T143342Z_S006G07_subsetted.nc\n", + "./222143098_TEMPO_HCHO_L2_V04_20240804T011348Z_S017G04_subsetted.nc\n", + "./222143100_TEMPO_HCHO_L2_V04_20240804T153342Z_S007G07_subsetted.nc\n", + "./222143101_TEMPO_HCHO_L2_V04_20240804T163342Z_S008G07_subsetted.nc\n", + "./222143102_TEMPO_HCHO_L2_V04_20240804T173342Z_S009G07_subsetted.nc\n", + "./222143103_TEMPO_HCHO_L2_V04_20240804T183342Z_S010G07_subsetted.nc\n", + "./222143105_TEMPO_HCHO_L2_V04_20240804T203342Z_S012G07_subsetted.nc\n", + "./222143106_TEMPO_HCHO_L2_V04_20240804T213342Z_S013G07_subsetted.nc\n", + "./222143104_TEMPO_HCHO_L2_V04_20240804T193342Z_S011G07_subsetted.nc\n", + "./222143107_TEMPO_HCHO_L2_V04_20240804T223342Z_S014G07_subsetted.nc\n", + "./222143108_TEMPO_HCHO_L2_V04_20240804T231347Z_S015G04_subsetted.nc\n", + "./222143109_TEMPO_HCHO_L2_V04_20240804T235352Z_S016G04_subsetted.nc\n", + "Number of result files: 13\n", + "222143097_TEMPO_HCHO_L2_V04_20240804T003343Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.053768 -105.233269 7.9010e+15 6.4909e+15 0\n", + " 10 693 40.033268 -105.228233 6.8869e+15 6.2054e+15 0\n", + " 11 692 40.053455 -105.292686 1.4071e+16 6.8107e+15 0\n", + " 11 693 40.034176 -105.288277 -3.4586e+15 5.7204e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 00:34:47.404005+00:00, HCHO col 4.8856e+15, unc 6.1585e+15\n", + "no negative: averaged time 2024-08-04 00:34:47.769722+00:00, HCHO col 9.6198e+15, unc 6.5023e+15\n", + "no Small: averaged time 2024-08-04 00:34:47.769722+00:00, HCHO col 9.6198e+15, unc 6.5023e+15\n", + "222143099_TEMPO_HCHO_L2_V04_20240804T143342Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.044468 -105.234978 1.8918e+16 1.4972e+16 0\n", + " 10 692 40.024055 -105.230011 1.7683e+16 1.5491e+16 0\n", + " 11 691 40.044270 -105.293671 1.3373e+16 1.2977e+16 0\n", + " 11 692 40.024788 -105.289169 1.6755e+16 9.5452e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 14:34:37.126295+00:00, HCHO col 1.8353e+16, unc 1.4273e+16\n", + "no negative: averaged time 2024-08-04 14:34:37.126295+00:00, HCHO col 1.8353e+16, unc 1.4273e+16\n", + "no Small: averaged time 2024-08-04 14:34:37.126295+00:00, HCHO col 1.8353e+16, unc 1.4273e+16\n", + "222143098_TEMPO_HCHO_L2_V04_20240804T011348Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.043663 -105.212097 -1.4228e+16 1.1858e+16 1\n", + " 9 693 40.023151 -105.207077 9.9752e+15 1.1874e+16 1\n", + " 10 692 40.044712 -105.272591 7.1079e+15 1.0113e+16 1\n", + " 10 693 40.024403 -105.267654 1.9445e+15 1.8634e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448748_TEMPO_HCHO_L2_V04_20240804T124659Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.037754 -76.284782 2.2276e+16 1.0441e+16 0\n", - " 9 846 37.018421 -76.289185 1.7868e+16 1.4261e+16 0\n", - " 10 845 37.035992 -76.341728 4.7403e+15 1.8393e+16 0\n", - " 10 846 37.016655 -76.346107 1.5328e+16 6.4990e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 12:48:30.243681+00:00, HCHO col 1.3871e+16, unc 9.7664e+15\n", - "no negative: averaged time 2024-08-04 12:48:30.243681+00:00, HCHO col 1.3871e+16, unc 9.7664e+15\n", - "no Small: averaged time 2024-08-04 12:48:28.687523+00:00, HCHO col 1.8491e+16, unc 1.0400e+16\n", - "178448747_TEMPO_HCHO_L2_V04_20240804T120654Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.022854 -76.308464 2.6870e+16 7.4966e+15 0\n", - " 10 847 37.003517 -76.312851 1.1031e+16 6.1312e+15 0\n", - " 11 846 37.021408 -76.365959 2.2135e+16 7.5076e+15 0\n", - " 11 847 37.002075 -76.370323 2.7760e+16 9.8916e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 12:08:27.185806+00:00, HCHO col 2.3067e+16, unc 7.3708e+15\n", - "no negative: averaged time 2024-08-04 12:08:27.185806+00:00, HCHO col 2.3067e+16, unc 7.3708e+15\n", - "no Small: averaged time 2024-08-04 12:08:27.185806+00:00, HCHO col 2.3067e+16, unc 7.3708e+15\n", - "178448749_TEMPO_HCHO_L2_V04_20240804T132704Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.030846 -76.295547 2.7405e+16 2.6767e+16 0\n", - " 10 846 37.011513 -76.299950 2.2109e+16 2.9181e+16 0\n", - " 11 845 37.029804 -76.351982 1.9194e+16 1.4277e+16 0\n", - " 11 846 37.010468 -76.356361 1.2863e+16 1.1331e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 13:28:34.765337+00:00, HCHO col 1.8861e+16, unc 1.8351e+16\n", - "no negative: averaged time 2024-08-04 13:28:34.765337+00:00, HCHO col 1.8861e+16, unc 1.8351e+16\n", - "no Small: averaged time 2024-08-04 13:28:34.765737+00:00, HCHO col 1.8538e+16, unc 1.6676e+16\n", - "178448750_TEMPO_HCHO_L2_V04_20240804T140712Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031887 -76.299477 1.4363e+16 1.0560e+16 0\n", - " 10 846 37.012550 -76.303879 1.0825e+16 1.4767e+16 0\n", - " 11 845 37.030678 -76.357254 2.0830e+16 9.0783e+15 0\n", - " 11 846 37.011345 -76.361633 1.9864e+16 8.5508e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 14:08:39.500380+00:00, HCHO col 1.6670e+16, unc 1.1270e+16\n", - "no negative: averaged time 2024-08-04 14:08:39.500380+00:00, HCHO col 1.6670e+16, unc 1.1270e+16\n", - "no Small: averaged time 2024-08-04 14:08:39.500845+00:00, HCHO col 1.7700e+16, unc 9.3748e+15\n", - "178448751_TEMPO_HCHO_L2_V04_20240804T150712Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.035748 -76.292938 1.7585e+16 4.8861e+15 0\n", - " 10 846 37.016407 -76.297340 1.0511e+16 6.6308e+15 0\n", - " 11 845 37.034946 -76.349342 2.0107e+16 1.4527e+16 0\n", - " 11 846 37.015617 -76.353722 2.8480e+16 1.3393e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 15:08:39.841530+00:00, HCHO col 2.1414e+16, unc 1.1722e+16\n", - "no negative: averaged time 2024-08-04 15:08:39.841530+00:00, HCHO col 2.1414e+16, unc 1.1722e+16\n", - "no Small: averaged time 2024-08-04 15:08:39.841530+00:00, HCHO col 2.1414e+16, unc 1.1722e+16\n", - "178448752_TEMPO_HCHO_L2_V04_20240804T160712Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.023651 -76.292061 1.0746e+16 9.7314e+15 0\n", - " 10 846 37.004337 -76.296448 1.4531e+16 1.0164e+16 0\n", - " 11 845 37.022465 -76.349159 2.2369e+16 8.8511e+15 0\n", - " 11 846 37.003139 -76.353539 7.9198e+15 9.2565e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 16:08:40.025018+00:00, HCHO col 2.0178e+16, unc 9.1078e+15\n", - "no negative: averaged time 2024-08-04 16:08:40.025018+00:00, HCHO col 2.0178e+16, unc 9.1078e+15\n", - "no Small: averaged time 2024-08-04 16:08:40.025019+00:00, HCHO col 2.0178e+16, unc 9.1078e+15\n", - "178448753_TEMPO_HCHO_L2_V04_20240804T170712Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026539 -76.315704 2.7890e+16 1.9332e+16 0\n", - " 10 847 37.007217 -76.320091 1.3900e+16 8.6942e+15 0\n", - " 11 846 37.024796 -76.372002 2.3465e+16 1.3261e+16 0\n", - " 11 847 37.005474 -76.376381 1.4379e+16 1.1286e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 17:08:41.772444+00:00, HCHO col 2.2271e+16, unc 1.4116e+16\n", - "no negative: averaged time 2024-08-04 17:08:41.772444+00:00, HCHO col 2.2271e+16, unc 1.4116e+16\n", - "no Small: averaged time 2024-08-04 17:08:41.772444+00:00, HCHO col 2.2271e+16, unc 1.4116e+16\n", - "178448754_TEMPO_HCHO_L2_V04_20240804T180712Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.027878 -76.327171 1.8348e+16 5.6750e+15 0\n", - " 10 846 37.008564 -76.331543 8.7271e+15 1.1194e+16 0\n", - " 11 845 37.025997 -76.384354 1.1929e+16 1.0387e+16 0\n", - " 11 846 37.006683 -76.388718 2.0562e+16 2.7470e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 18:08:41.127901+00:00, HCHO col 1.3828e+16, unc 8.4075e+15\n", - "no negative: averaged time 2024-08-04 18:08:41.127901+00:00, HCHO col 1.3828e+16, unc 8.4075e+15\n", - "no Small: averaged time 2024-08-04 18:08:42.232226+00:00, HCHO col 1.5139e+16, unc 8.0309e+15\n", - "178448755_TEMPO_HCHO_L2_V04_20240804T190712Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.026264 -76.333847 2.0085e+16 2.1509e+16 0\n", - " 10 846 37.006954 -76.338211 2.7910e+16 3.8293e+16 0\n", - " 11 845 37.024513 -76.390450 2.2333e+16 3.3461e+16 0\n", - " 11 846 37.005203 -76.394806 8.6209e+15 2.6878e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 19:08:40.787718+00:00, HCHO col 2.2540e+16, unc 2.6954e+16\n", - "no negative: averaged time 2024-08-04 19:08:40.787718+00:00, HCHO col 2.2540e+16, unc 2.6954e+16\n", + "222143100_TEMPO_HCHO_L2_V04_20240804T153342Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.054249 -105.214592 1.2108e+16 1.4883e+16 0\n", + " 9 692 40.033817 -105.209618 1.6398e+16 1.6833e+16 0\n", + " 10 691 40.055294 -105.273682 1.2487e+16 1.1802e+16 0\n", + " 10 692 40.035122 -105.268829 1.7399e+16 1.5883e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 15:34:38.293685+00:00, HCHO col 1.6306e+16, unc 1.6040e+16\n", + "no negative: averaged time 2024-08-04 15:34:38.293685+00:00, HCHO col 1.6306e+16, unc 1.6040e+16\n", + "no Small: averaged time 2024-08-04 15:34:39.705224+00:00, HCHO col 1.4943e+16, unc 1.3843e+16\n", + "222143101_TEMPO_HCHO_L2_V04_20240804T163342Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.052761 -105.237808 1.2283e+16 1.0619e+16 0\n", + " 10 692 40.032326 -105.232826 1.3256e+16 1.0956e+16 0\n", + " 11 691 40.052292 -105.295906 2.2573e+16 1.6534e+16 0\n", + " 11 692 40.033234 -105.291611 1.7111e+16 8.9859e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 16:34:40.127610+00:00, HCHO col 1.3536e+16, unc 1.0606e+16\n", + "no negative: averaged time 2024-08-04 16:34:40.127610+00:00, HCHO col 1.3536e+16, unc 1.0606e+16\n", + "no Small: averaged time 2024-08-04 16:34:40.127610+00:00, HCHO col 1.3536e+16, unc 1.0606e+16\n", + "222143102_TEMPO_HCHO_L2_V04_20240804T173342Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046146 -105.212341 1.4477e+16 5.4653e+15 0\n", + " 9 693 40.025692 -105.207359 9.9827e+15 5.4467e+15 0\n", + " 10 692 40.047359 -105.271576 9.7658e+15 4.9106e+15 0\n", + " 10 693 40.027077 -105.266663 1.1652e+16 4.7551e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 17:34:41.345596+00:00, HCHO col 1.2804e+16, unc 5.0952e+15\n", + "no negative: averaged time 2024-08-04 17:34:41.345596+00:00, HCHO col 1.2804e+16, unc 5.0952e+15\n", + "no Small: averaged time 2024-08-04 17:34:41.345596+00:00, HCHO col 1.2804e+16, unc 5.0952e+15\n", + "222143103_TEMPO_HCHO_L2_V04_20240804T183342Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.045586 -105.224792 1.6238e+16 5.6785e+15 0\n", + " 10 692 40.025177 -105.219826 1.2993e+16 5.5569e+15 0\n", + " 11 691 40.046421 -105.284630 4.0707e+15 4.6288e+15 0\n", + " 11 692 40.026413 -105.279846 1.6811e+16 4.3836e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 18:34:40.686627+00:00, HCHO col 1.6115e+16, unc 5.2512e+15\n", + "no negative: averaged time 2024-08-04 18:34:40.686627+00:00, HCHO col 1.6115e+16, unc 5.2512e+15\n", + "no Small: averaged time 2024-08-04 18:34:40.686627+00:00, HCHO col 1.6115e+16, unc 5.2512e+15\n", + "222143105_TEMPO_HCHO_L2_V04_20240804T203342Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.048931 -105.192795 1.8732e+16 4.4281e+16 0\n", + " 9 693 40.028191 -105.187668 2.6642e+16 4.6816e+16 0\n", + " 10 692 40.050411 -105.252419 4.7012e+14 2.9618e+16 0\n", + " 10 693 40.030075 -105.247467 7.5092e+15 3.7509e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 20:34:42.369461+00:00, HCHO col 7.1181e+15, unc 3.6357e+16\n", + "no negative: averaged time 2024-08-04 20:34:42.369461+00:00, HCHO col 7.1181e+15, unc 3.6357e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222143106_TEMPO_HCHO_L2_V04_20240804T213342Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.048336 -105.186134 -1.1479e+15 4.7336e+16 0\n", + " 9 693 40.027649 -105.181030 -7.9338e+15 2.7731e+16 0\n", + " 10 692 40.049210 -105.245384 4.7325e+15 4.3239e+16 0\n", + " 10 693 40.028831 -105.240417 -1.6796e+16 6.5726e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 21:34:42.711208+00:00, HCHO col -7.6826e+15, unc 5.6188e+16\n", + "no negative: averaged time 2024-08-04 21:34:42.738450+00:00, HCHO col 4.7325e+15, unc 4.3239e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222143104_TEMPO_HCHO_L2_V04_20240804T193342Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.037376 -105.202019 8.6338e+15 2.2507e+16 0\n", + " 9 693 40.016605 -105.196877 1.5540e+16 6.3312e+16 0\n", + " 10 692 40.038673 -105.261429 7.7863e+15 1.8280e+16 0\n", + " 10 693 40.018284 -105.256462 6.4134e+14 3.5135e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 19:34:41.759295+00:00, HCHO col 7.7969e+15, unc 2.0272e+16\n", + "no negative: averaged time 2024-08-04 19:34:41.759295+00:00, HCHO col 7.7969e+15, unc 2.0272e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448756_TEMPO_HCHO_L2_V04_20240804T200712Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.025249 -76.299530 3.8549e+15 3.7425e+16 0\n", - " 10 847 37.005924 -76.303917 2.8166e+16 7.1625e+16 0\n", - " 11 846 37.023773 -76.356163 4.2638e+15 1.5178e+16 0\n", - " 11 847 37.004459 -76.360527 2.3362e+16 9.3229e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 20:08:42.648862+00:00, HCHO col 9.1566e+15, unc 3.0312e+16\n", - "no negative: averaged time 2024-08-04 20:08:42.648862+00:00, HCHO col 9.1566e+15, unc 3.0312e+16\n", - "no Small: averaged time 2024-08-04 20:08:43.745296+00:00, HCHO col 2.3362e+16, unc 9.3229e+15\n", - "178448757_TEMPO_HCHO_L2_V04_20240804T210712Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021984 -76.296318 2.6669e+16 2.5192e+16 0\n", - " 10 847 37.002678 -76.300697 3.4668e+16 2.5251e+16 0\n", - " 11 846 37.020176 -76.353607 1.6124e+16 5.7633e+16 0\n", - " 11 847 37.000866 -76.357971 -2.9653e+15 4.2187e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 21:08:42.837157+00:00, HCHO col 1.9444e+16, unc 4.7951e+16\n", - "no negative: averaged time 2024-08-04 21:08:42.837157+00:00, HCHO col 1.9444e+16, unc 4.7951e+16\n", - "no Small: averaged time 2024-08-04 21:08:40.709496+00:00, HCHO col 3.0668e+16, unc 2.5221e+16\n", - "178448758_TEMPO_HCHO_L2_V04_20240804T220712Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026943 -76.297012 -2.1790e+16 8.9407e+16 0\n", - " 10 847 37.007626 -76.301392 2.3336e+16 8.2899e+16 0\n", - " 11 846 37.025589 -76.354179 7.9872e+16 7.1665e+16 0\n", - " 11 847 37.006271 -76.358543 6.7768e+16 6.7049e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-04 22:08:42.740228+00:00, HCHO col 5.9697e+16, unc 7.5592e+16\n", - "no negative: averaged time 2024-08-04 22:08:42.730895+00:00, HCHO col 5.6992e+16, unc 7.3871e+16\n", - "no Small: averaged time 2024-08-04 22:08:43.741917+00:00, HCHO col 7.3820e+16, unc 6.9357e+16\n", - "jobID = 1012fdcc-8616-45a3-b422-adccb44f35f6\n" + "222143107_TEMPO_HCHO_L2_V04_20240804T223342Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.047314 -105.195267 1.7053e+16 1.4888e+16 0\n", + " 9 693 40.026608 -105.190147 2.4842e+16 3.6573e+16 0\n", + " 10 692 40.048389 -105.254936 2.0177e+16 2.7622e+16 0\n", + " 10 693 40.028072 -105.250000 1.0672e+16 1.1899e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 22:34:42.212069+00:00, HCHO col 1.4628e+16, unc 1.7133e+16\n", + "no negative: averaged time 2024-08-04 22:34:42.212069+00:00, HCHO col 1.4628e+16, unc 1.7133e+16\n", + "no Small: averaged time 2024-08-04 22:34:39.704376+00:00, HCHO col 1.7053e+16, unc 1.4888e+16\n", + "222143108_TEMPO_HCHO_L2_V04_20240804T231347Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.057163 -105.212616 1.3670e+16 2.2253e+16 0\n", + " 9 693 40.036701 -105.207619 1.3785e+16 9.1086e+15 0\n", + " 10 692 40.057846 -105.272171 2.2802e+16 1.6085e+16 0\n", + " 10 693 40.037693 -105.267303 4.2300e+15 1.9050e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 23:14:49.435633+00:00, HCHO col 8.2886e+15, unc 1.4973e+16\n", + "no negative: averaged time 2024-08-04 23:14:49.435633+00:00, HCHO col 8.2886e+15, unc 1.4973e+16\n", + "no Small: averaged time 2024-08-04 23:14:49.207808+00:00, HCHO col 1.8293e+16, unc 1.2597e+16\n", + "222143109_TEMPO_HCHO_L2_V04_20240804T235352Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.048847 -105.209221 8.3029e+15 2.8244e+16 0\n", + " 9 693 40.028389 -105.204224 -7.4391e+15 4.0067e+16 0\n", + " 10 692 40.049511 -105.268494 -2.5026e+16 7.5962e+16 0\n", + " 10 693 40.029243 -105.263580 -7.4908e+15 2.8994e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-04 23:54:54.535575+00:00, HCHO col -1.5672e+15, unc 2.9705e+16\n", + "no negative: averaged time 2024-08-04 23:54:52.712519+00:00, HCHO col 8.3029e+15, unc 2.8244e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "jobID = 0d368253-a200-4f4d-86fb-2a2fe8b178bd\n" ] }, { @@ -5549,148 +5700,151 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448847_TEMPO_HCHO_L2_V04_20240805T104659Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.027687 -76.329140 2.0306e+16 1.8704e+16 1\n", - " 10 846 37.008369 -76.333511 3.2835e+16 1.5149e+16 1\n", - " 11 845 37.026047 -76.386620 3.9300e+16 1.6218e+16 1\n", - " 11 846 37.006729 -76.390984 1.1459e+16 1.8014e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222143213_TEMPO_HCHO_L2_V04_20240805T143357Z_S006G07_subsetted.nc\n", + "./222143214_TEMPO_HCHO_L2_V04_20240805T153357Z_S007G07_subsetted.nc\n", + "./222143211_TEMPO_HCHO_L2_V04_20240805T003357Z_S017G04_subsetted.nc\n", + "./222143212_TEMPO_HCHO_L2_V04_20240805T011402Z_S018G04_subsetted.nc\n", + "./222143215_TEMPO_HCHO_L2_V04_20240805T163357Z_S008G07_subsetted.nc\n", + "./222143217_TEMPO_HCHO_L2_V04_20240805T183357Z_S010G07_subsetted.nc\n", + "./222143216_TEMPO_HCHO_L2_V04_20240805T173357Z_S009G07_subsetted.nc\n", + "./222143218_TEMPO_HCHO_L2_V04_20240805T193357Z_S011G07_subsetted.nc\n", + "./222143219_TEMPO_HCHO_L2_V04_20240805T203357Z_S012G07_subsetted.nc\n", + "./222143220_TEMPO_HCHO_L2_V04_20240805T213357Z_S013G07_subsetted.nc\n", + "./222143222_TEMPO_HCHO_L2_V04_20240805T231402Z_S015G04_subsetted.nc\n", + "./222143221_TEMPO_HCHO_L2_V04_20240805T223357Z_S014G07_subsetted.nc\n", + "./222143223_TEMPO_HCHO_L2_V04_20240805T235407Z_S016G04_subsetted.nc\n", + "Number of result files: 13\n", + "222143213_TEMPO_HCHO_L2_V04_20240805T143357Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.041176 -105.208946 6.1894e+15 5.5350e+15 0\n", + " 9 692 40.020523 -105.203880 7.3724e+15 5.4383e+15 0\n", + " 10 691 40.042553 -105.269043 1.1854e+16 5.3044e+15 0\n", + " 10 692 40.022213 -105.264107 5.7230e+15 5.7920e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 14:34:50.371932+00:00, HCHO col 8.0631e+15, unc 5.5109e+15\n", + "no negative: averaged time 2024-08-05 14:34:50.371932+00:00, HCHO col 8.0631e+15, unc 5.5109e+15\n", + "no Small: averaged time 2024-08-05 14:34:50.372520+00:00, HCHO col 9.6632e+15, unc 5.3831e+15\n", + "222143214_TEMPO_HCHO_L2_V04_20240805T153357Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 691 40.052105 -105.234764 5.0519e+15 5.3279e+15 0\n", + " 10 692 40.031616 -105.229767 -1.3131e+14 5.0362e+15 0\n", + " 11 691 40.050911 -105.293694 -1.1790e+15 5.3938e+15 0\n", + " 11 692 40.031639 -105.289284 5.4742e+15 6.1394e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 15:34:52.228367+00:00, HCHO col 2.3732e+15, unc 5.3201e+15\n", + "no negative: averaged time 2024-08-05 15:34:53.194563+00:00, HCHO col 5.2631e+15, unc 5.7337e+15\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222143211_TEMPO_HCHO_L2_V04_20240805T003357Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.043095 -105.223259 -9.4926e+15 7.1069e+16 0\n", + " 10 693 40.022709 -105.218300 -5.5587e+15 1.6163e+16 0\n", + " 11 692 40.044052 -105.282646 1.9105e+15 1.5354e+16 0\n", + " 11 693 40.024006 -105.277832 3.7913e+16 2.9940e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 00:34:58.745742+00:00, HCHO col 5.0106e+15, unc 5.6461e+16\n", + "no negative: averaged time 2024-08-05 00:35:00.749043+00:00, HCHO col 1.9912e+16, unc 2.2647e+16\n", + "no Small: averaged time 2024-08-05 00:35:00.749043+00:00, HCHO col 3.7913e+16, unc 2.9940e+16\n", + "222143212_TEMPO_HCHO_L2_V04_20240805T011402Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.052071 -105.238731 -3.5554e+14 2.2380e+16 1\n", + " 10 693 40.031643 -105.233742 9.0987e+15 1.6867e+16 1\n", + " 11 692 40.051361 -105.297607 2.8224e+16 1.7464e+16 1\n", + " 11 693 40.032108 -105.293205 2.6062e+16 1.6685e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448849_TEMPO_HCHO_L2_V04_20240805T120709Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031372 -76.302879 1.5594e+16 3.9853e+15 0\n", - " 10 846 37.012032 -76.307266 1.6489e+16 5.4252e+15 0\n", - " 11 845 37.029804 -76.359573 1.2347e+16 2.8563e+15 0\n", - " 11 846 37.010460 -76.363945 1.0306e+16 3.9782e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 12:08:39.360170+00:00, HCHO col 1.4028e+16, unc 4.0935e+15\n", - "no negative: averaged time 2024-08-05 12:08:39.360170+00:00, HCHO col 1.4028e+16, unc 4.0935e+15\n", - "no Small: averaged time 2024-08-05 12:08:39.360170+00:00, HCHO col 1.4028e+16, unc 4.0935e+15\n", - "178448848_TEMPO_HCHO_L2_V04_20240805T112704Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.038719 -76.326126 1.3967e+16 7.5675e+15 0\n", - " 10 845 37.019375 -76.330505 -1.2611e+15 6.8746e+15 0\n", - " 11 844 37.036556 -76.383293 9.3006e+15 7.5698e+15 0\n", - " 11 845 37.017231 -76.387650 2.9994e+16 7.2741e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 11:28:33.016225+00:00, HCHO col 9.6983e+14, unc 6.9369e+15\n", - "no negative: averaged time 2024-08-05 11:28:34.700863+00:00, HCHO col 1.7754e+16, unc 7.4705e+15\n", - "no Small: averaged time 2024-08-05 11:28:34.700863+00:00, HCHO col 1.7754e+16, unc 7.4705e+15\n", - "178448850_TEMPO_HCHO_L2_V04_20240805T124714Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.024017 -76.326317 1.9272e+16 6.0378e+15 0\n", - " 10 846 37.004700 -76.330696 1.5009e+16 7.1807e+15 0\n", - " 11 845 37.022709 -76.383026 1.8642e+16 2.6065e+15 0\n", - " 11 846 37.003380 -76.387390 1.3519e+16 3.2894e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 12:48:43.188834+00:00, HCHO col 1.8394e+16, unc 5.6706e+15\n", - "no negative: averaged time 2024-08-05 12:48:43.188834+00:00, HCHO col 1.8394e+16, unc 5.6706e+15\n", - "no Small: averaged time 2024-08-05 12:48:43.188834+00:00, HCHO col 1.8394e+16, unc 5.6706e+15\n", - "178448852_TEMPO_HCHO_L2_V04_20240805T140727Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.033169 -76.284309 2.2962e+16 6.4710e+15 0\n", - " 9 846 37.013836 -76.288712 2.0707e+16 1.3822e+16 0\n", - " 10 845 37.030746 -76.341454 1.6490e+16 7.6317e+15 0\n", - " 10 846 37.011417 -76.345840 1.9180e+15 1.3079e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 14:08:52.298187+00:00, HCHO col 1.0781e+16, unc 1.0758e+16\n", - "no negative: averaged time 2024-08-05 14:08:52.298187+00:00, HCHO col 1.0781e+16, unc 1.0758e+16\n", - "no Small: averaged time 2024-08-05 14:08:50.663429+00:00, HCHO col 2.0053e+16, unc 9.3084e+15\n", - "178448853_TEMPO_HCHO_L2_V04_20240805T150727Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.028530 -76.325500 4.2859e+16 3.7461e+16 0\n", - " 10 846 37.009201 -76.329887 3.4305e+16 2.0145e+16 0\n", - " 11 845 37.026928 -76.382828 6.8036e+15 9.0909e+15 0\n", - " 11 846 37.007599 -76.387199 -8.9244e+14 1.2138e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 15:08:53.172738+00:00, HCHO col 3.3488e+16, unc 2.5723e+16\n", - "no negative: averaged time 2024-08-05 15:08:53.172738+00:00, HCHO col 3.3488e+16, unc 2.5723e+16\n", - "no Small: averaged time 2024-08-05 15:08:52.681194+00:00, HCHO col 3.8582e+16, unc 2.8803e+16\n", - "178448851_TEMPO_HCHO_L2_V04_20240805T132719Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034889 -76.322632 1.3139e+16 4.3999e+15 0\n", - " 10 846 37.015545 -76.327026 8.2745e+15 3.5792e+15 0\n", - " 11 845 37.033138 -76.379562 1.2882e+16 4.4182e+15 0\n", - " 11 846 37.013802 -76.383942 1.2896e+16 6.1803e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 13:28:48.254919+00:00, HCHO col 9.5048e+15, unc 3.7984e+15\n", - "no negative: averaged time 2024-08-05 13:28:48.254919+00:00, HCHO col 9.5048e+15, unc 3.7984e+15\n", - "no Small: averaged time 2024-08-05 13:28:48.254919+00:00, HCHO col 9.5048e+15, unc 3.7984e+15\n", - "178448854_TEMPO_HCHO_L2_V04_20240805T160727Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.034088 -76.317482 3.4746e+15 1.0860e+16 0\n", - " 10 846 37.014744 -76.321884 6.2884e+15 7.4087e+15 0\n", - " 11 845 37.031837 -76.375443 1.9478e+16 6.6112e+15 0\n", - " 11 846 37.012505 -76.379822 6.5194e+15 9.7149e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 16:08:53.521358+00:00, HCHO col 9.8407e+15, unc 7.3298e+15\n", - "no negative: averaged time 2024-08-05 16:08:53.521358+00:00, HCHO col 9.8407e+15, unc 7.3298e+15\n", - "no Small: averaged time 2024-08-05 16:08:55.710741+00:00, HCHO col 1.9478e+16, unc 6.6112e+15\n", - "178448855_TEMPO_HCHO_L2_V04_20240805T170727Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.027061 -76.293846 1.5377e+16 6.9031e+15 0\n", - " 10 847 37.007740 -76.298241 3.6148e+16 1.2825e+16 0\n", - " 11 846 37.025734 -76.350319 1.4855e+16 6.4510e+15 0\n", - " 11 847 37.006413 -76.354698 2.1378e+16 8.4069e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 17:08:54.916873+00:00, HCHO col 2.0741e+16, unc 8.2131e+15\n", - "no negative: averaged time 2024-08-05 17:08:54.916873+00:00, HCHO col 2.0741e+16, unc 8.2131e+15\n", - "no Small: averaged time 2024-08-05 17:08:54.916873+00:00, HCHO col 2.0741e+16, unc 8.2131e+15\n", - "178448857_TEMPO_HCHO_L2_V04_20240805T190727Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.022175 -76.285629 2.5624e+16 1.5502e+16 0\n", - " 9 847 37.002857 -76.290016 4.8169e+15 1.1056e+16 0\n", - " 10 846 37.020344 -76.342964 2.1110e+16 1.2930e+16 0\n", - " 10 847 37.001038 -76.347336 1.9941e+16 1.2754e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 19:08:55.380359+00:00, HCHO col 2.1348e+16, unc 1.3161e+16\n", - "no negative: averaged time 2024-08-05 19:08:55.380359+00:00, HCHO col 2.1348e+16, unc 1.3161e+16\n", - "no Small: averaged time 2024-08-05 19:08:55.380368+00:00, HCHO col 2.1601e+16, unc 1.3216e+16\n", - "178448856_TEMPO_HCHO_L2_V04_20240805T180727Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.024036 -76.310989 2.9956e+16 2.0138e+16 0\n", - " 10 846 37.004723 -76.315361 1.6309e+16 1.1501e+16 0\n", - " 11 845 37.022133 -76.368149 1.9453e+16 1.3493e+16 0\n", - " 11 846 37.002811 -76.372520 1.3179e+16 1.0033e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 18:08:54.010850+00:00, HCHO col 2.3318e+16, unc 1.5938e+16\n", - "no negative: averaged time 2024-08-05 18:08:54.010850+00:00, HCHO col 2.3318e+16, unc 1.5938e+16\n", - "no Small: averaged time 2024-08-05 18:08:54.010850+00:00, HCHO col 2.3318e+16, unc 1.5938e+16\n", - "178448858_TEMPO_HCHO_L2_V04_20240805T200727Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.024158 -76.332291 -4.7361e+15 3.8606e+16 0\n", - " 10 847 37.004860 -76.336655 4.0438e+16 4.6476e+16 0\n", - " 11 846 37.022438 -76.389603 1.4195e+16 1.6993e+16 0\n", - " 11 847 37.003120 -76.393959 -9.5026e+15 1.5157e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 20:08:55.900381+00:00, HCHO col 5.1957e+15, unc 3.8832e+16\n", - "no negative: averaged time 2024-08-05 20:08:57.233781+00:00, HCHO col 2.7316e+16, unc 3.1734e+16\n", + "222143215_TEMPO_HCHO_L2_V04_20240805T163357Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046700 -105.204147 5.3881e+15 5.2688e+15 0\n", + " 9 693 40.026119 -105.199104 6.5317e+15 5.8057e+15 0\n", + " 10 692 40.047821 -105.262878 1.3056e+16 5.0940e+15 0\n", + " 10 693 40.027542 -105.257965 4.3839e+15 4.9808e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 16:34:53.753421+00:00, HCHO col 6.3824e+15, unc 5.0933e+15\n", + "no negative: averaged time 2024-08-05 16:34:53.753421+00:00, HCHO col 6.3824e+15, unc 5.0933e+15\n", + "no Small: averaged time 2024-08-05 16:34:52.684878+00:00, HCHO col 8.3251e+15, unc 5.3895e+15\n", + "222143217_TEMPO_HCHO_L2_V04_20240805T183357Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.038971 -105.199730 5.6698e+15 9.2295e+15 0\n", + " 9 692 40.018188 -105.194580 1.6614e+16 4.5717e+15 0\n", + " 10 691 40.039814 -105.259850 6.2579e+15 2.6468e+16 0\n", + " 10 692 40.019451 -105.254890 -1.1031e+15 2.5789e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 18:34:53.841915+00:00, HCHO col 5.3397e+15, unc 2.1426e+16\n", + "no negative: averaged time 2024-08-05 18:34:53.842362+00:00, HCHO col 7.1788e+15, unc 2.1033e+16\n", + "no Small: averaged time 2024-08-05 18:34:51.683920+00:00, HCHO col 1.6614e+16, unc 4.5717e+15\n", + "222143216_TEMPO_HCHO_L2_V04_20240805T173357Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.042728 -105.239807 3.0595e+15 5.2449e+15 0\n", + " 10 693 40.022362 -105.234863 9.3691e+15 4.6100e+15 0\n", + " 11 692 40.042099 -105.298347 1.0316e+16 5.8564e+15 0\n", + " 11 693 40.022324 -105.293678 1.0492e+16 6.9377e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 17:34:54.898973+00:00, HCHO col 4.7446e+15, unc 5.2190e+15\n", + "no negative: averaged time 2024-08-05 17:34:54.898973+00:00, HCHO col 4.7446e+15, unc 5.2190e+15\n", + "no Small: averaged time 2024-08-05 17:34:56.742510+00:00, HCHO col 1.0059e+16, unc 5.8014e+15\n", + "222143218_TEMPO_HCHO_L2_V04_20240805T193357Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.051590 -105.214867 7.9519e+15 1.7870e+16 0\n", + " 9 693 40.031193 -105.209900 2.3197e+16 1.9363e+16 0\n", + " 10 692 40.052509 -105.274391 -1.1729e+15 3.9346e+16 0\n", + " 10 693 40.032330 -105.269524 2.1034e+15 6.9586e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 19:34:56.279070+00:00, HCHO col 8.0571e+15, unc 4.4810e+16\n", + "no negative: averaged time 2024-08-05 19:34:56.279070+00:00, HCHO col 8.0571e+15, unc 4.4810e+16\n", + "no Small: averaged time 2024-08-05 19:34:54.717007+00:00, HCHO col 2.3197e+16, unc 1.9363e+16\n", + "222143219_TEMPO_HCHO_L2_V04_20240805T203357Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.046562 -105.208672 2.7258e+16 5.1406e+16 0\n", + " 9 693 40.026054 -105.203644 -4.2002e+15 1.2999e+16 0\n", + " 10 692 40.047729 -105.268127 1.4912e+16 3.4246e+16 0\n", + " 10 693 40.027451 -105.263206 1.7959e+16 1.5717e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 20:34:56.534835+00:00, HCHO col 2.1312e+16, unc 3.2183e+16\n", + "no negative: averaged time 2024-08-05 20:34:56.534835+00:00, HCHO col 2.1312e+16, unc 3.2183e+16\n", + "no Small: averaged time 2024-08-05 20:34:57.746835+00:00, HCHO col 1.7959e+16, unc 1.5717e+16\n", + "222143220_TEMPO_HCHO_L2_V04_20240805T213357Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.052029 -105.208755 1.5074e+16 3.3228e+16 0\n", + " 9 693 40.031586 -105.203758 2.9581e+16 3.9264e+16 0\n", + " 10 692 40.053459 -105.268295 1.0995e+16 1.4852e+16 0\n", + " 10 693 40.033241 -105.263405 2.5635e+16 1.9389e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 21:34:56.597856+00:00, HCHO col 2.3663e+16, unc 2.5476e+16\n", + "no negative: averaged time 2024-08-05 21:34:56.597856+00:00, HCHO col 2.3663e+16, unc 2.5476e+16\n", + "no Small: averaged time 2024-08-05 21:34:57.747040+00:00, HCHO col 2.5635e+16, unc 1.9389e+16\n", + "222143222_TEMPO_HCHO_L2_V04_20240805T231402Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 693 40.042179 -105.230225 1.9965e+16 2.0686e+16 0\n", + " 10 694 40.021790 -105.225258 1.5662e+16 2.4851e+16 0\n", + " 11 693 40.042725 -105.288834 3.0052e+16 1.9887e+16 0\n", + " 11 694 40.022869 -105.284119 4.1019e+16 2.1985e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 23:15:03.382632+00:00, HCHO col 2.4516e+16, unc 2.1059e+16\n", + "no negative: averaged time 2024-08-05 23:15:03.382632+00:00, HCHO col 2.4516e+16, unc 2.1059e+16\n", + "no Small: averaged time 2024-08-05 23:15:05.747203+00:00, HCHO col 3.5535e+16, unc 2.0936e+16\n", + "222143221_TEMPO_HCHO_L2_V04_20240805T223357Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 693 40.047729 -105.215134 2.5275e+15 2.9069e+16 0\n", + " 9 694 40.027336 -105.210175 3.7908e+15 1.9220e+16 0\n", + " 10 693 40.048676 -105.274445 9.6043e+15 1.1645e+16 0\n", + " 10 694 40.028442 -105.269539 2.4118e+16 1.4250e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 22:34:56.216217+00:00, HCHO col 1.3292e+16, unc 2.1395e+16\n", + "no negative: averaged time 2024-08-05 22:34:56.216217+00:00, HCHO col 1.3292e+16, unc 2.1395e+16\n", + "no Small: averaged time 2024-08-05 22:34:57.742704+00:00, HCHO col 2.4118e+16, unc 1.4250e+16\n", + "222143223_TEMPO_HCHO_L2_V04_20240805T235407Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.045654 -105.187981 -5.3995e+16 3.4708e+16 2\n", + " 9 693 40.024899 -105.182838 3.0903e+16 3.5469e+16 0\n", + " 10 692 40.047035 -105.247185 -4.1700e+16 1.8816e+16 2\n", + " 10 693 40.026672 -105.242226 1.5457e+16 3.9269e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-05 23:55:06.200263+00:00, HCHO col 2.3180e+16, unc 3.7369e+16\n", + "no negative: averaged time 2024-08-05 23:55:06.200263+00:00, HCHO col 2.3180e+16, unc 3.7369e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448859_TEMPO_HCHO_L2_V04_20240805T210727Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.020817 -76.334892 2.1282e+16 2.0859e+16 0\n", - " 10 847 37.001518 -76.339256 1.6430e+16 1.9091e+16 0\n", - " 11 846 37.019218 -76.392456 -7.8974e+15 7.7337e+16 0\n", - " 11 847 36.999897 -76.396812 2.1666e+16 3.9194e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 21:08:55.802457+00:00, HCHO col 2.0352e+16, unc 2.2387e+16\n", - "no negative: averaged time 2024-08-05 21:08:56.729125+00:00, HCHO col 1.9793e+16, unc 2.6382e+16\n", - "no Small: averaged time 2024-08-05 21:08:55.718105+00:00, HCHO col 2.1282e+16, unc 2.0859e+16\n", - "178448860_TEMPO_HCHO_L2_V04_20240805T220727Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.033150 -76.313644 -1.4042e+16 5.8044e+16 0\n", - " 10 847 37.013824 -76.318024 -2.6629e+16 4.0424e+16 0\n", - " 11 846 37.030922 -76.369736 3.9929e+15 2.4044e+16 0\n", - " 11 847 37.011600 -76.374100 6.4422e+16 4.4280e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-05 22:08:56.807822+00:00, HCHO col -1.5385e+16, unc 3.4800e+16\n", - "no negative: averaged time 2024-08-05 22:08:58.747210+00:00, HCHO col 3.4207e+16, unc 3.4162e+16\n", - "no Small: averaged time 2024-08-05 22:08:58.747210+00:00, HCHO col 6.4422e+16, unc 4.4280e+16\n", - "jobID = a7181e33-84d1-477c-88bc-c19596f38f50\n" + "jobID = d2e4d3a8-fb50-45a9-8623-98046964c7d1\n" ] }, { @@ -5704,138 +5858,118 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 13\n", - "178448865_TEMPO_HCHO_L2_V04_20240806T104714Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.038143 -76.279213 -3.7586e+15 1.0476e+16 1\n", - " 9 846 37.018803 -76.283615 -2.2415e+15 9.1209e+15 1\n", - " 10 845 37.036419 -76.336090 -4.8358e+15 3.6368e+16 1\n", - " 10 846 37.017082 -76.340454 -8.7023e+15 3.0721e+16 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + "./222143414_TEMPO_HCHO_L2_V04_20240806T003412Z_S017G04_subsetted.nc\n", + "./222143415_TEMPO_HCHO_L2_V04_20240806T011417Z_S018G04_subsetted.nc\n", + "./222143417_TEMPO_HCHO_L2_V04_20240806T153412Z_S007G07_subsetted.nc\n", + "./222143418_TEMPO_HCHO_L2_V04_20240806T163412Z_S008G07_subsetted.nc\n", + "./222143419_TEMPO_HCHO_L2_V04_20240806T173412Z_S009G07_subsetted.nc\n", + "./222143416_TEMPO_HCHO_L2_V04_20240806T143412Z_S006G07_subsetted.nc\n", + "./222143420_TEMPO_HCHO_L2_V04_20240806T183412Z_S010G07_subsetted.nc\n", + "./222143421_TEMPO_HCHO_L2_V04_20240806T193412Z_S011G07_subsetted.nc\n", + "./222143422_TEMPO_HCHO_L2_V04_20240806T203412Z_S012G07_subsetted.nc\n", + "./222143423_TEMPO_HCHO_L2_V04_20240806T213412Z_S013G07_subsetted.nc\n", + "Number of result files: 10\n", + "222143414_TEMPO_HCHO_L2_V04_20240806T003412Z_S017G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.043755 -105.216385 1.1157e+16 2.3215e+16 0\n", + " 9 693 40.023342 -105.211403 5.9900e+16 2.7258e+16 0\n", + " 10 692 40.044495 -105.275665 5.8367e+16 4.4514e+16 0\n", + " 10 693 40.024216 -105.270737 4.2249e+15 4.3994e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 00:35:17.145865+00:00, HCHO col 1.5227e+16, unc 3.2825e+16\n", + "no negative: averaged time 2024-08-06 00:35:17.145865+00:00, HCHO col 1.5227e+16, unc 3.2825e+16\n", + "no Small: averaged time 2024-08-06 00:35:17.269806+00:00, HCHO col 5.9134e+16, unc 3.5886e+16\n", + "222143415_TEMPO_HCHO_L2_V04_20240806T011417Z_S018G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.044441 -105.188690 1.0142e+17 4.3824e+16 1\n", + " 9 693 40.023666 -105.183540 -2.4509e+16 3.6745e+16 1\n", + " 10 692 40.046074 -105.248268 7.2920e+16 2.6621e+16 1\n", + " 10 693 40.025715 -105.243317 1.3156e+16 7.1539e+16 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448867_TEMPO_HCHO_L2_V04_20240806T120724Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021732 -76.336006 -1.0028e+15 5.3963e+15 0\n", - " 10 847 37.002407 -76.340370 5.2850e+15 9.0020e+15 0\n", - " 11 846 37.019844 -76.393890 3.0711e+15 7.0393e+15 0\n", - " 11 847 37.000504 -76.398239 3.4834e+15 1.5427e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 12:08:58.767016+00:00, HCHO col -5.2048e+14, unc 5.6696e+15\n", - "no negative: averaged time 2024-08-06 12:09:00.774895+00:00, HCHO col 3.9465e+15, unc 1.0489e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448868_TEMPO_HCHO_L2_V04_20240806T124729Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.021969 -76.313713 1.1295e+16 4.6664e+15 0\n", - " 10 847 37.002647 -76.318092 5.6536e+15 6.7370e+15 0\n", - " 11 846 37.020420 -76.371437 9.9183e+15 7.0136e+15 0\n", - " 11 847 37.001083 -76.375816 5.8208e+15 5.8322e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 12:49:01.911833+00:00, HCHO col 1.0445e+16, unc 5.7010e+15\n", - "no negative: averaged time 2024-08-06 12:49:01.911833+00:00, HCHO col 1.0445e+16, unc 5.7010e+15\n", - "no Small: averaged time 2024-08-06 12:49:02.238428+00:00, HCHO col 1.0606e+16, unc 5.8400e+15\n", - "178448869_TEMPO_HCHO_L2_V04_20240806T132734Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.023540 -76.309425 9.6187e+15 9.9276e+15 0\n", - " 10 847 37.004211 -76.313812 1.5854e+16 8.9512e+15 0\n", - " 11 846 37.021721 -76.367203 4.0177e+15 6.9759e+15 0\n", - " 11 847 37.002388 -76.371574 8.8143e+14 4.9861e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 13:29:07.121480+00:00, HCHO col 7.8120e+15, unc 8.4459e+15\n", - "no negative: averaged time 2024-08-06 13:29:07.121480+00:00, HCHO col 7.8120e+15, unc 8.4459e+15\n", - "no Small: averaged time 2024-08-06 13:29:05.723547+00:00, HCHO col 1.5854e+16, unc 8.9512e+15\n", - "178448866_TEMPO_HCHO_L2_V04_20240806T112719Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031162 -76.309074 7.8026e+15 2.6800e+16 0\n", - " 10 846 37.011818 -76.313446 -3.4219e+15 2.8631e+16 0\n", - " 11 845 37.029697 -76.365341 7.8294e+14 1.3619e+16 0\n", - " 11 846 37.010345 -76.369705 -3.7902e+15 1.9183e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 11:28:52.075898+00:00, HCHO col -1.2655e+15, unc 2.1858e+16\n", - "no negative: averaged time 2024-08-06 11:28:52.232988+00:00, HCHO col 4.2928e+15, unc 2.0210e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448870_TEMPO_HCHO_L2_V04_20240806T140742Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.027199 -76.325058 2.7842e+15 4.1591e+15 0\n", - " 10 846 37.007870 -76.329445 4.5322e+15 9.0384e+15 0\n", - " 11 845 37.025486 -76.382492 3.9570e+15 6.6143e+15 0\n", - " 11 846 37.006157 -76.386864 8.0315e+15 3.9532e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 14:09:11.237915+00:00, HCHO col 3.5861e+15, unc 6.2544e+15\n", - "no negative: averaged time 2024-08-06 14:09:11.237915+00:00, HCHO col 3.5861e+15, unc 6.2544e+15\n", - "no Small: averaged time 2024-08-06 14:09:13.740549+00:00, HCHO col 8.0315e+15, unc 3.9532e+15\n", - "178448871_TEMPO_HCHO_L2_V04_20240806T150742Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 844 37.038086 -76.324600 1.0659e+16 5.7672e+15 0\n", - " 10 845 37.018745 -76.328995 5.3427e+15 4.9739e+15 0\n", - " 11 844 37.036072 -76.381393 1.3875e+16 1.3989e+16 0\n", - " 11 845 37.016747 -76.385765 1.1589e+16 8.1876e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 15:09:11.148963+00:00, HCHO col 6.4425e+15, unc 5.9794e+15\n", - "no negative: averaged time 2024-08-06 15:09:11.148963+00:00, HCHO col 6.4425e+15, unc 5.9794e+15\n", - "no Small: averaged time 2024-08-06 15:09:11.149062+00:00, HCHO col 6.7303e+15, unc 5.5034e+15\n", - "178448872_TEMPO_HCHO_L2_V04_20240806T160742Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 846 37.022846 -76.287834 6.9256e+15 9.2485e+15 0\n", - " 9 847 37.003521 -76.292229 8.9388e+14 5.8765e+15 0\n", - " 10 846 37.020927 -76.345459 1.9158e+16 5.9483e+15 0\n", - " 10 847 37.001606 -76.349838 1.2072e+16 9.2048e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 16:09:13.269731+00:00, HCHO col 1.6943e+16, unc 6.3056e+15\n", - "no negative: averaged time 2024-08-06 16:09:13.269731+00:00, HCHO col 1.6943e+16, unc 6.3056e+15\n", - "no Small: averaged time 2024-08-06 16:09:13.747145+00:00, HCHO col 1.5615e+16, unc 7.5766e+15\n", - "178448873_TEMPO_HCHO_L2_V04_20240806T170742Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.031067 -76.288521 1.6474e+16 1.5213e+16 0\n", - " 10 846 37.011738 -76.292923 5.9930e+15 5.0037e+15 0\n", - " 11 845 37.029121 -76.345810 1.8834e+16 1.6243e+16 0\n", - " 11 846 37.009800 -76.350182 1.7569e+16 2.0667e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 17:09:13.147362+00:00, HCHO col 1.5948e+16, unc 1.5261e+16\n", - "no negative: averaged time 2024-08-06 17:09:13.147362+00:00, HCHO col 1.5948e+16, unc 1.5261e+16\n", - "no Small: averaged time 2024-08-06 17:09:11.723490+00:00, HCHO col 1.3767e+16, unc 1.2153e+16\n", - "178448874_TEMPO_HCHO_L2_V04_20240806T180742Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.021481 -76.308205 -1.0000e+30 -1.0000e+30 -9999\n", - " 10 846 37.002155 -76.312592 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 845 37.020237 -76.364548 -1.0000e+30 -1.0000e+30 -9999\n", - " 11 846 37.000916 -76.368912 -1.0000e+30 -1.0000e+30 -9999\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448876_TEMPO_HCHO_L2_V04_20240806T200742Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.021183 -76.327538 6.9875e+14 7.5220e+15 0\n", - " 10 846 37.001892 -76.331902 1.3220e+16 1.4553e+16 0\n", - " 11 845 37.019241 -76.383415 -5.2730e+15 2.5144e+16 0\n", - " 11 846 36.999920 -76.387772 -7.4102e+14 2.7723e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 20:09:14.241672+00:00, HCHO col 1.1573e+14, unc 1.0548e+16\n", - "no negative: averaged time 2024-08-06 20:09:13.756788+00:00, HCHO col 6.9593e+15, unc 1.1037e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448875_TEMPO_HCHO_L2_V04_20240806T190742Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 845 37.036049 -76.280807 -3.4682e+15 2.0625e+16 0\n", - " 9 846 37.016727 -76.285202 7.6471e+15 2.0470e+16 0\n", - " 10 845 37.034294 -76.338074 -1.8657e+16 1.8837e+16 0\n", - " 10 846 37.014980 -76.342453 -1.0781e+16 2.0439e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 19:09:13.508387+00:00, HCHO col -1.1386e+16, unc 2.0012e+16\n", - "no negative: averaged time 2024-08-06 19:09:10.723214+00:00, HCHO col 7.6471e+15, unc 2.0470e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448877_TEMPO_HCHO_L2_V04_20240806T210742Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.032112 -76.322670 2.4830e+15 6.9827e+15 0\n", - " 10 846 37.012787 -76.327049 8.1403e+15 5.3616e+15 0\n", - " 11 845 37.030712 -76.379578 4.0509e+15 5.9115e+15 0\n", - " 11 846 37.011387 -76.383942 -2.2350e+15 7.0008e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-06 21:09:14.356682+00:00, HCHO col 6.1712e+15, unc 5.8022e+15\n", - "no negative: averaged time 2024-08-06 21:09:14.356682+00:00, HCHO col 6.1712e+15, unc 5.8022e+15\n", - "no Small: averaged time 2024-08-06 21:09:13.753541+00:00, HCHO col 8.1403e+15, unc 5.3616e+15\n", - "jobID = 89c12491-fc76-4401-b51e-850dbdd3f263\n" + "222143417_TEMPO_HCHO_L2_V04_20240806T153412Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 690 40.054787 -105.192093 1.0965e+16 1.4857e+16 0\n", + " 9 691 40.034187 -105.187050 9.1708e+15 1.0623e+16 0\n", + " 10 690 40.056202 -105.250237 1.3593e+16 8.1089e+15 0\n", + " 10 691 40.035809 -105.245277 1.6430e+16 1.5499e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 15:35:09.523537+00:00, HCHO col 1.6015e+16, unc 1.5284e+16\n", + "no negative: averaged time 2024-08-06 15:35:09.523537+00:00, HCHO col 1.6015e+16, unc 1.5284e+16\n", + "no Small: averaged time 2024-08-06 15:35:09.717105+00:00, HCHO col 1.5012e+16, unc 1.1804e+16\n", + "222143418_TEMPO_HCHO_L2_V04_20240806T163412Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.042358 -105.190544 1.5936e+15 8.6834e+15 0\n", + " 9 693 40.021549 -105.185387 1.7099e+16 6.1818e+15 0\n", + " 10 692 40.042831 -105.249420 1.1373e+15 5.2984e+15 0\n", + " 10 693 40.022484 -105.244476 1.4156e+16 5.2807e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 16:35:12.427019+00:00, HCHO col 4.5644e+15, unc 5.6467e+15\n", + "no negative: averaged time 2024-08-06 16:35:12.427019+00:00, HCHO col 4.5644e+15, unc 5.6467e+15\n", + "no Small: averaged time 2024-08-06 16:35:11.226631+00:00, HCHO col 1.5627e+16, unc 5.7313e+15\n", + "222143419_TEMPO_HCHO_L2_V04_20240806T173412Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 691 40.041157 -105.190140 1.2032e+16 5.6908e+15 0\n", + " 9 692 40.020321 -105.184967 1.8631e+16 4.6446e+15 0\n", + " 10 691 40.042431 -105.249092 1.1313e+16 4.6021e+15 0\n", + " 10 692 40.022087 -105.244156 5.7301e+15 4.3807e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 17:35:12.436523+00:00, HCHO col 1.0068e+16, unc 4.6593e+15\n", + "no negative: averaged time 2024-08-06 17:35:12.436523+00:00, HCHO col 1.0068e+16, unc 4.6593e+15\n", + "no Small: averaged time 2024-08-06 17:35:12.436523+00:00, HCHO col 1.0068e+16, unc 4.6593e+15\n", + "222143416_TEMPO_HCHO_L2_V04_20240806T143412Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 690 40.056278 -105.199257 6.5037e+15 6.0945e+15 0\n", + " 9 691 40.035767 -105.194252 1.4499e+16 5.2175e+15 0\n", + " 10 690 40.057808 -105.258446 1.3891e+16 9.5895e+15 0\n", + " 10 691 40.037502 -105.253532 1.0239e+16 4.9204e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 14:35:09.109770+00:00, HCHO col 1.0942e+16, unc 4.9931e+15\n", + "no negative: averaged time 2024-08-06 14:35:09.109770+00:00, HCHO col 1.0942e+16, unc 4.9931e+15\n", + "no Small: averaged time 2024-08-06 14:35:09.109770+00:00, HCHO col 1.0942e+16, unc 4.9931e+15\n", + "222143420_TEMPO_HCHO_L2_V04_20240806T183412Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 690 40.056702 -105.205299 4.9201e+15 8.2855e+15 0\n", + " 9 691 40.036247 -105.200310 6.9592e+15 5.1869e+15 0\n", + " 10 690 40.057529 -105.264801 1.5534e+16 2.7096e+16 0\n", + " 10 691 40.037304 -105.259911 4.9651e+15 2.3600e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 18:35:11.820181+00:00, HCHO col 5.5171e+15, unc 1.8106e+16\n", + "no negative: averaged time 2024-08-06 18:35:11.820181+00:00, HCHO col 5.5171e+15, unc 1.8106e+16\n", + "no Small: averaged time 2024-08-06 18:35:09.704976+00:00, HCHO col 6.9592e+15, unc 5.1869e+15\n", + "222143421_TEMPO_HCHO_L2_V04_20240806T193412Z_S011G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.039967 -105.215706 1.1663e+16 5.7146e+15 0\n", + " 9 693 40.019493 -105.210709 8.0758e+15 4.9763e+15 0\n", + " 10 692 40.040947 -105.274269 1.0373e+16 5.8835e+15 0\n", + " 10 693 40.020645 -105.269333 9.3563e+15 4.2086e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 19:35:14.151821+00:00, HCHO col 1.0922e+16, unc 5.5517e+15\n", + "no negative: averaged time 2024-08-06 19:35:14.151821+00:00, HCHO col 1.0922e+16, unc 5.5517e+15\n", + "no Small: averaged time 2024-08-06 19:35:14.151821+00:00, HCHO col 1.0922e+16, unc 5.5517e+15\n", + "222143422_TEMPO_HCHO_L2_V04_20240806T203412Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 690 40.052887 -105.224960 1.0372e+16 3.6365e+16 0\n", + " 10 691 40.032413 -105.219948 6.3480e+15 4.9293e+16 0\n", + " 11 690 40.053532 -105.284012 1.6209e+16 4.9241e+15 0\n", + " 11 691 40.033398 -105.279160 1.5561e+16 4.6516e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 20:35:13.823413+00:00, HCHO col 1.0530e+16, unc 3.0550e+16\n", + "no negative: averaged time 2024-08-06 20:35:13.823413+00:00, HCHO col 1.0530e+16, unc 3.0550e+16\n", + "no Small: averaged time 2024-08-06 20:35:15.786313+00:00, HCHO col 1.5885e+16, unc 4.7879e+15\n", + "222143423_TEMPO_HCHO_L2_V04_20240806T213412Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 692 40.038479 -105.207481 -1.3077e+16 7.4486e+16 0\n", + " 9 693 40.017792 -105.202370 -5.6769e+15 6.4888e+16 0\n", + " 10 692 40.039848 -105.266373 1.0486e+16 6.0827e+15 0\n", + " 10 693 40.019497 -105.261414 1.0779e+16 2.0834e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-06 21:35:14.549598+00:00, HCHO col 9.3485e+14, unc 3.5184e+16\n", + "no negative: averaged time 2024-08-06 21:35:15.782364+00:00, HCHO col 1.0632e+16, unc 1.3458e+16\n", + "no Small: averaged time 2024-08-06 21:35:15.782364+00:00, HCHO col 1.0486e+16, unc 6.0827e+15\n", + "jobID = 11281a51-4b75-42bb-934e-a7386558938e\n" ] }, { @@ -5849,147 +5983,128 @@ "name": "stdout", "output_type": "stream", "text": [ - "Number of result files: 14\n", - "178448886_TEMPO_HCHO_L2_V04_20240807T104728Z_S001G03_subsetted.nc\n", + "./222143661_TEMPO_HCHO_L2_V04_20240807T153426Z_S007G07_subsetted.nc\n", + "./222143660_TEMPO_HCHO_L2_V04_20240807T143426Z_S006G07_subsetted.nc\n", + "./222143662_TEMPO_HCHO_L2_V04_20240807T163426Z_S008G07_subsetted.nc\n", + "./222143663_TEMPO_HCHO_L2_V04_20240807T173426Z_S009G07_subsetted.nc\n", + "./222143666_TEMPO_HCHO_L2_V04_20240807T203426Z_S012G07_subsetted.nc\n", + "./222143665_TEMPO_HCHO_L2_V04_20240807T193426Z_S011G07_subsetted.nc\n", + "./222143664_TEMPO_HCHO_L2_V04_20240807T183426Z_S010G07_subsetted.nc\n", + "./222143667_TEMPO_HCHO_L2_V04_20240807T213426Z_S013G07_subsetted.nc\n", + "./222143668_TEMPO_HCHO_L2_V04_20240807T223426Z_S014G07_subsetted.nc\n", + "./222143669_TEMPO_HCHO_L2_V04_20240807T231431Z_S015G04_subsetted.nc\n", + "./222143670_TEMPO_HCHO_L2_V04_20240807T235436Z_S016G04_subsetted.nc\n", + "Number of result files: 11\n", + "222143661_TEMPO_HCHO_L2_V04_20240807T153426Z_S007G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 655 40.043343 -105.228455 2.7132e+15 5.4244e+15 0\n", + " 10 656 40.022934 -105.223457 5.9166e+15 6.5333e+15 0\n", + " 11 655 40.044468 -105.287941 1.1066e+16 5.4190e+15 0\n", + " 11 656 40.024536 -105.283173 9.8562e+15 7.0122e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 15:35:24.482623+00:00, HCHO col 4.6883e+15, unc 5.8847e+15\n", + "no negative: averaged time 2024-08-07 15:35:24.482623+00:00, HCHO col 4.6883e+15, unc 5.8847e+15\n", + "no Small: averaged time 2024-08-07 15:35:26.749997+00:00, HCHO col 1.0461e+16, unc 6.2156e+15\n", + "222143660_TEMPO_HCHO_L2_V04_20240807T143426Z_S006G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 660 40.044342 -105.219475 3.3943e+14 2.1662e+16 0\n", + " 10 661 40.023952 -105.214485 8.9073e+15 2.8705e+16 0\n", + " 11 660 40.045078 -105.278786 1.6675e+16 1.4468e+16 0\n", + " 11 661 40.024864 -105.273872 6.7242e+15 3.0583e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 14:35:21.912520+00:00, HCHO col 3.5052e+15, unc 2.4414e+16\n", + "no negative: averaged time 2024-08-07 14:35:21.912520+00:00, HCHO col 3.5052e+15, unc 2.4414e+16\n", + "no Small: averaged time 2024-08-07 14:35:23.704890+00:00, HCHO col 1.6675e+16, unc 1.4468e+16\n", + "222143662_TEMPO_HCHO_L2_V04_20240807T163426Z_S008G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 649 40.052711 -105.209351 1.3464e+16 5.6470e+15 0\n", + " 9 650 40.032272 -105.204353 4.2559e+15 6.0104e+15 0\n", + " 10 649 40.052963 -105.267548 -9.8946e+15 5.7485e+15 2\n", + " 10 650 40.032738 -105.262634 1.5055e+14 5.2697e+15 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 16:35:28.639533+00:00, HCHO col 3.9131e+15, unc 5.4595e+15\n", + "no negative: averaged time 2024-08-07 16:35:28.639533+00:00, HCHO col 3.9131e+15, unc 5.4595e+15\n", + "no Small: averaged time 2024-08-07 16:35:26.742978+00:00, HCHO col 1.3464e+16, unc 5.6470e+15\n", + "222143663_TEMPO_HCHO_L2_V04_20240807T173426Z_S009G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 646 40.054291 -105.237297 -1.2126e+15 6.9756e+15 0\n", + " 10 647 40.033848 -105.232292 1.0500e+16 5.5681e+15 0\n", + " 11 646 40.053463 -105.295067 -6.7953e+15 6.9959e+15 1\n", + " 11 647 40.034428 -105.290764 -5.1123e+15 5.8497e+15 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 17:35:26.738511+00:00, HCHO col 4.6437e+15, unc 6.2719e+15\n", + "no negative: averaged time 2024-08-07 17:35:26.738511+00:00, HCHO col 1.0500e+16, unc 5.5681e+15\n", + "no Small: averaged time 2024-08-07 17:35:26.738511+00:00, HCHO col 1.0500e+16, unc 5.5681e+15\n", + "222143666_TEMPO_HCHO_L2_V04_20240807T203426Z_S012G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 662 40.049438 -105.225380 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 663 40.028999 -105.220406 -1.0000e+30 -1.0000e+30 -9999\n", + " 11 662 40.050133 -105.284775 -1.0000e+30 -1.0000e+30 -9999\n", + " 11 663 40.030079 -105.279968 -1.0000e+30 -1.0000e+30 -9999\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", + "222143665_TEMPO_HCHO_L2_V04_20240807T193426Z_S011G07_subsetted.nc\n", "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 846 37.026035 -76.290955 5.6954e+15 9.9594e+15 1\n", - " 10 847 37.006729 -76.295341 7.6033e+15 9.8145e+15 1\n", - " 11 846 37.023853 -76.348442 7.5642e+15 1.3416e+16 1\n", - " 11 847 37.004539 -76.352814 3.1536e+15 8.2139e+15 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", + " 10 655 40.046638 -105.220528 -1.0000e+30 -1.0000e+30 -9999\n", + " 10 656 40.026264 -105.215576 -6.9186e+16 2.2766e+16 2\n", + " 11 655 40.047237 -105.279289 -1.0000e+30 -1.0000e+30 -9999\n", + " 11 656 40.027073 -105.274422 -1.2442e+18 1.5244e+18 1\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448887_TEMPO_HCHO_L2_V04_20240807T112733Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 845 37.022835 -76.298592 9.3164e+15 1.4507e+16 0\n", - " 10 846 37.003494 -76.302963 1.1817e+15 1.0033e+16 0\n", - " 11 845 37.020847 -76.356346 8.3450e+15 1.0458e+16 0\n", - " 11 846 37.001522 -76.360703 -5.3606e+13 9.0810e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 11:29:06.698513+00:00, HCHO col 8.1617e+15, unc 1.1576e+16\n", - "no negative: averaged time 2024-08-07 11:29:06.698513+00:00, HCHO col 8.1617e+15, unc 1.1576e+16\n", + "222143664_TEMPO_HCHO_L2_V04_20240807T183426Z_S010G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 648 40.042931 -105.231308 3.3373e+16 5.7485e+16 0\n", + " 10 649 40.022541 -105.226334 1.8957e+16 2.2172e+16 0\n", + " 11 648 40.043167 -105.290558 -5.1726e+15 2.1343e+16 0\n", + " 11 649 40.023506 -105.285942 -3.0878e+16 8.3652e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 18:35:30.385263+00:00, HCHO col 1.9309e+16, unc 6.0185e+16\n", + "no negative: averaged time 2024-08-07 18:35:29.771381+00:00, HCHO col 2.6165e+16, unc 3.9829e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448888_TEMPO_HCHO_L2_V04_20240807T120738Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 843 37.022594 -76.307152 -1.2934e+15 1.8136e+16 0\n", - " 10 844 37.003265 -76.311516 4.9762e+14 1.7879e+16 0\n", - " 11 843 37.020435 -76.364792 1.0170e+16 1.3708e+16 0\n", - " 11 844 37.001102 -76.369133 6.1696e+15 1.1329e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 12:09:11.254360+00:00, HCHO col 4.6205e+15, unc 1.5879e+16\n", - "no negative: averaged time 2024-08-07 12:09:11.741090+00:00, HCHO col 5.6124e+15, unc 1.4305e+16\n", + "222143667_TEMPO_HCHO_L2_V04_20240807T213426Z_S013G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 672 40.048874 -105.185860 8.4707e+15 4.3937e+16 0\n", + " 9 673 40.028202 -105.180779 3.6150e+16 2.3421e+16 0\n", + " 10 672 40.050491 -105.245430 1.9338e+16 1.6515e+16 0\n", + " 10 673 40.030109 -105.240479 6.8946e+15 2.4086e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 21:35:29.767607+00:00, HCHO col 1.1361e+16, unc 2.1465e+16\n", + "no negative: averaged time 2024-08-07 21:35:29.767607+00:00, HCHO col 1.1361e+16, unc 2.1465e+16\n", + "no Small: averaged time 2024-08-07 21:35:28.265043+00:00, HCHO col 2.7744e+16, unc 1.9968e+16\n", + "222143668_TEMPO_HCHO_L2_V04_20240807T223426Z_S014G07_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 9 687 40.047703 -105.206413 -1.5422e+15 3.5992e+16 0\n", + " 9 688 40.027180 -105.201385 1.6431e+16 2.3394e+16 0\n", + " 10 687 40.048843 -105.265648 3.6665e+16 5.3739e+16 0\n", + " 10 688 40.028580 -105.260742 2.0653e+16 5.4242e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 22:35:28.706943+00:00, HCHO col 1.4476e+16, unc 4.7719e+16\n", + "no negative: averaged time 2024-08-07 22:35:28.708023+00:00, HCHO col 2.6598e+16, unc 4.3083e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n", - "178448889_TEMPO_HCHO_L2_V04_20240807T124743Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 835 37.036461 -76.329926 4.6728e+15 5.9119e+15 0\n", - " 10 836 37.017136 -76.334282 7.7566e+15 6.1368e+15 0\n", - " 11 835 37.035076 -76.386856 1.3015e+16 4.9342e+15 0\n", - " 11 836 37.015751 -76.391182 2.0001e+15 5.9633e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 12:49:14.883358+00:00, HCHO col 7.6864e+15, unc 6.0468e+15\n", - "no negative: averaged time 2024-08-07 12:49:14.883358+00:00, HCHO col 7.6864e+15, unc 6.0468e+15\n", - "no Small: averaged time 2024-08-07 12:49:16.237493+00:00, HCHO col 1.0386e+16, unc 5.5355e+15\n", - "178448890_TEMPO_HCHO_L2_V04_20240807T132748Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 828 37.040668 -76.282761 9.5692e+15 5.4497e+15 0\n", - " 9 829 37.021339 -76.287125 7.9472e+15 3.4980e+15 0\n", - " 10 828 37.038521 -76.340141 2.3359e+15 6.7982e+15 0\n", - " 10 829 37.019192 -76.344490 5.4747e+15 5.5771e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 13:29:19.297603+00:00, HCHO col 5.6737e+15, unc 5.3496e+15\n", - "no negative: averaged time 2024-08-07 13:29:19.297603+00:00, HCHO col 5.6737e+15, unc 5.3496e+15\n", - "no Small: averaged time 2024-08-07 13:29:16.671959+00:00, HCHO col 8.7582e+15, unc 4.4739e+15\n", - "178448891_TEMPO_HCHO_L2_V04_20240807T140756Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 9 820 37.035446 -76.285385 6.8749e+14 4.2697e+15 0\n", - " 9 821 37.016117 -76.289757 1.2865e+15 3.4728e+15 0\n", - " 10 820 37.033184 -76.342331 4.8674e+15 3.4118e+15 0\n", - " 10 821 37.013855 -76.346680 -3.0054e+15 3.3261e+15 1\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 14:09:22.686383+00:00, HCHO col 2.2805e+15, unc 3.7181e+15\n", - "no negative: averaged time 2024-08-07 14:09:22.686383+00:00, HCHO col 2.2805e+15, unc 3.7181e+15\n", - "no Small: averaged time 2024-08-07 14:09:24.708424+00:00, HCHO col 4.8674e+15, unc 3.4118e+15\n", - "178448892_TEMPO_HCHO_L2_V04_20240807T150756Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 813 37.028503 -76.317734 1.4356e+15 7.1823e+15 0\n", - " 10 814 37.009178 -76.322090 6.7858e+15 6.4804e+15 0\n", - " 11 813 37.025913 -76.375397 1.1389e+16 1.2042e+16 0\n", - " 11 814 37.006584 -76.379745 7.1652e+15 7.6193e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 15:09:25.624631+00:00, HCHO col 6.4602e+15, unc 8.3613e+15\n", - "no negative: averaged time 2024-08-07 15:09:25.624631+00:00, HCHO col 6.4602e+15, unc 8.3613e+15\n", - "no Small: averaged time 2024-08-07 15:09:24.720379+00:00, HCHO col 6.7858e+15, unc 6.4804e+15\n", - "178448893_TEMPO_HCHO_L2_V04_20240807T160756Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 807 37.022541 -76.332718 1.2090e+16 3.4145e+15 0\n", - " 10 808 37.003242 -76.337067 9.2331e+15 5.4159e+15 0\n", - " 11 807 37.020458 -76.389832 1.1472e+16 4.3335e+15 0\n", - " 11 808 37.001137 -76.394165 1.1164e+16 5.9094e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 16:09:24.894765+00:00, HCHO col 1.1740e+16, unc 3.6888e+15\n", - "no negative: averaged time 2024-08-07 16:09:24.894765+00:00, HCHO col 1.1740e+16, unc 3.6888e+15\n", - "no Small: averaged time 2024-08-07 16:09:24.894765+00:00, HCHO col 1.1740e+16, unc 3.6888e+15\n", - "178448894_TEMPO_HCHO_L2_V04_20240807T170756Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 802 37.031357 -76.319649 7.8442e+15 8.1274e+15 0\n", - " 10 803 37.012024 -76.324013 8.6275e+15 1.4176e+16 0\n", - " 11 802 37.029396 -76.376633 1.4942e+16 7.2586e+15 0\n", - " 11 803 37.010067 -76.380989 1.3292e+16 1.0100e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 17:09:28.518128+00:00, HCHO col 1.0087e+16, unc 1.1208e+16\n", - "no negative: averaged time 2024-08-07 17:09:28.518128+00:00, HCHO col 1.0087e+16, unc 1.1208e+16\n", - "no Small: averaged time 2024-08-07 17:09:30.775748+00:00, HCHO col 1.4117e+16, unc 8.6794e+15\n", - "178448896_TEMPO_HCHO_L2_V04_20240807T190756Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 806 37.022327 -76.315155 7.4311e+15 1.6593e+16 0\n", - " 10 807 37.003029 -76.319519 9.3070e+15 1.9404e+16 0\n", - " 11 806 37.020718 -76.372871 8.0682e+15 5.6249e+15 0\n", - " 11 807 37.001404 -76.377235 1.1727e+16 1.0203e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 19:09:31.898651+00:00, HCHO col 7.8041e+15, unc 1.2789e+16\n", - "no negative: averaged time 2024-08-07 19:09:31.898651+00:00, HCHO col 7.8041e+15, unc 1.2789e+16\n", - "no Small: averaged time 2024-08-07 19:09:33.821846+00:00, HCHO col 9.8979e+15, unc 7.9137e+15\n", - "178448895_TEMPO_HCHO_L2_V04_20240807T180756Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 801 37.030220 -76.304146 1.3993e+15 1.0337e+16 0\n", - " 10 802 37.010899 -76.308525 8.6444e+15 8.9534e+15 0\n", - " 11 801 37.028748 -76.360733 1.6667e+16 8.9025e+15 0\n", - " 11 802 37.009426 -76.365089 9.4895e+15 5.1951e+15 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 18:09:29.370154+00:00, HCHO col 1.2884e+16, unc 8.8910e+15\n", - "no negative: averaged time 2024-08-07 18:09:29.370154+00:00, HCHO col 1.2884e+16, unc 8.8910e+15\n", - "no Small: averaged time 2024-08-07 18:09:30.774668+00:00, HCHO col 1.3078e+16, unc 7.0488e+15\n", - "178448897_TEMPO_HCHO_L2_V04_20240807T200756Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 811 37.028648 -76.302139 6.3692e+15 5.3489e+15 0\n", - " 10 812 37.009331 -76.306534 1.3329e+16 1.8336e+16 0\n", - " 11 811 37.026932 -76.359566 4.5767e+15 4.1095e+15 0\n", - " 11 812 37.007618 -76.363937 6.9021e+15 1.7023e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 20:09:29.469565+00:00, HCHO col 8.0005e+15, unc 9.5951e+15\n", - "no negative: averaged time 2024-08-07 20:09:29.469565+00:00, HCHO col 8.0005e+15, unc 9.5951e+15\n", - "no Small: averaged time 2024-08-07 20:09:29.254534+00:00, HCHO col 5.4730e+15, unc 4.7292e+15\n", - "178448898_TEMPO_HCHO_L2_V04_20240807T210756Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 820 37.024200 -76.325218 5.7750e+15 1.2782e+16 0\n", - " 10 821 37.004906 -76.329590 1.8392e+16 1.5111e+16 0\n", - " 11 820 37.022663 -76.381836 -3.9984e+15 1.5314e+16 0\n", - " 11 821 37.003353 -76.386200 -8.6618e+15 2.3706e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 21:09:28.318566+00:00, HCHO col 6.3146e+15, unc 1.3691e+16\n", - "no negative: averaged time 2024-08-07 21:09:27.752692+00:00, HCHO col 1.2083e+16, unc 1.3946e+16\n", - "no Small: averaged time 2024-08-07 21:09:27.752692+00:00, HCHO col 1.8392e+16, unc 1.5111e+16\n", - "178448899_TEMPO_HCHO_L2_V04_20240807T220756Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", - " 10 833 37.035271 -76.311737 1.3039e+16 1.0259e+16 0\n", - " 10 834 37.015949 -76.316124 9.6588e+15 1.4020e+16 0\n", - " 11 833 37.033592 -76.369194 -6.7465e+15 1.1231e+16 0\n", - " 11 834 37.014271 -76.373573 2.2663e+14 1.0649e+16 0\n", - "POI HamptonVA-HU at 37.0203 -76.3366 found\n", - "no FV: averaged time 2024-08-07 22:09:28.893986+00:00, HCHO col 4.3136e+15, unc 1.2902e+16\n", - "no negative: averaged time 2024-08-07 22:09:28.894091+00:00, HCHO col 6.9828e+15, unc 1.1782e+16\n", - "no Small: averaged time 2024-08-07 22:09:27.753325+00:00, HCHO col 1.3039e+16, unc 1.0259e+16\n" + "222143669_TEMPO_HCHO_L2_V04_20240807T231431Z_S015G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.051933 -105.227905 1.6281e+16 3.8992e+16 0\n", + " 10 693 40.031437 -105.222878 2.7395e+16 6.2916e+16 0\n", + " 11 692 40.052544 -105.287521 2.6109e+15 1.9556e+16 0\n", + " 11 693 40.032398 -105.282654 4.7287e+16 3.0926e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 23:15:35.648258+00:00, HCHO col 3.0154e+16, unc 4.6696e+16\n", + "no negative: averaged time 2024-08-07 23:15:35.648258+00:00, HCHO col 3.0154e+16, unc 4.6696e+16\n", + "no Small: averaged time 2024-08-07 23:15:37.782965+00:00, HCHO col 4.7287e+16, unc 3.0926e+16\n", + "222143670_TEMPO_HCHO_L2_V04_20240807T235436Z_S016G04_subsetted.nc\n", + "scanl pixel latitude longitude totHCHO_col totHCHO_col_unc totHCHO_col_QF\n", + " 10 692 40.057934 -105.245201 3.2915e+16 4.2421e+16 0\n", + " 10 693 40.037460 -105.240173 8.2159e+15 9.7450e+15 0\n", + " 11 692 40.056480 -105.303062 -5.8774e+15 3.0544e+16 0\n", + " 11 693 40.036873 -105.298477 2.0908e+15 1.2865e+16 0\n", + "POI BoulderCO-NCAR at 40.0375 -105.242 found\n", + "no FV: averaged time 2024-08-07 23:55:39.847677+00:00, HCHO col 8.0954e+15, unc 9.9345e+15\n", + "no negative: averaged time 2024-08-07 23:55:39.847677+00:00, HCHO col 8.0954e+15, unc 9.9345e+15\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, HCHO col -1.0000e+00, unc -1.0000e+00\n" ] } ], @@ -6038,7 +6153,7 @@ ", avg_time_noneg, total_HCHO_column_noneg, total_HCHO_column_unc_noneg\\\n", ", avg_time_noSmall, total_HCHO_column_noSmall, total_HCHO_column_unc_noSmall= get_local_HCHO(POI, fn)\n", "\n", - "# os.remove(fn)\n", + " os.remove(fn)\n", "\n", " print(f'no FV: averaged time {glp.gps_millis_to_datetime(avg_time_noFV*1.e+3)}, HCHO col {total_HCHO_column_noFV:11.4e}, unc {total_HCHO_column_unc_noFV:11.4e}')\n", " print(f'no negative: averaged time {glp.gps_millis_to_datetime(avg_time_noneg*1.e+3)}, HCHO col {total_HCHO_column_noneg:11.4e}, unc {total_HCHO_column_unc_noneg:11.4e}')\n", @@ -6090,15 +6205,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "TEMPO standard and \"no negative\" are of equal length\n", "TEMPO standard and \"no negative\" are different\n", "TEMPO \"no small\" and \"no negative\" are different\n" ] @@ -6168,38 +6281,21 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 23, "metadata": { "id": "lI10qQGc9U-U" }, "outputs": [], "source": [ - "Pandora_out = open(out_Q+'_Pandora_'+datestamp_ini+'_'+datestamp_fin+'_'\\\n", - "+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1])), 'r')\n", - "Pandora_data_lines = Pandora_out.readlines()\n", - "Pandora_out.close()\n", + "ts_fname_Pandora = out_Q+'_Pandora_'+datestamp_ini+'_'+datestamp_fin+'_'\\\n", + "+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1]))\n", + "time_series_Pandora, dt0, dt_fin = read_timeseries(ts_fname_Pandora, yyyy_ini, mm_ini, dd_ini, yyyy_fin, mm_fin, dd_fin)\n", "\n", - "time_series_Pandora = np.empty([0, 3])\n", "time_series_Pandora_noneg = np.empty([0, 3])\n", "\n", - "for line in Pandora_data_lines:\n", - " split = line.split()\n", - " yyyy = int(split[0])\n", - " mm = int(split[1])\n", - " dd = int(split[2])\n", - " hh = int(split[3])\n", - " mn = int(split[4])\n", - " ss = float(split[5])\n", - " us = int((ss - int(ss))*1000000) # microseconds\n", - "# dt below is time since the beginning of the period of interest in hours\n", - " dt = (datetime(yyyy, mm, dd, hh, mn, int(ss), us) - dt0).total_seconds()/86400.\n", - " col = float(split[6])\n", - " unc = float(split[7])\n", - " time_series_Pandora = np.append(time_series_Pandora,\\\n", - "[[dt, col, unc]], axis = 0)\n", - " if col > 0:\n", - " time_series_Pandora_noneg = np.append(time_series_Pandora_noneg,\\\n", - "[[dt, col, unc]], axis = 0)" + "for line in time_series_Pandora:\n", + " if line[1] > 0:\n", + " time_series_Pandora_noneg = np.append(time_series_Pandora_noneg, [line], axis = 0)" ] }, { @@ -6222,7 +6318,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -6234,7 +6330,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -6278,7 +6374,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -6293,743 +6389,835 @@ "name": "stdout", "output_type": "stream", "text": [ - "1.85623 1.383e+16 6.08e+14 1.0000e+00\n", - "1.85601 1.383e+16 6.08e+14\n", + "0.58202 9.033e+15 5.67e+14 1.0000e+00\n", + "0.58198 9.033e+15 5.67e+14\n", + "\n", + "0.66579 9.350e+15 8.33e+14 1.0000e+00\n", + "0.66530 9.350e+15 8.33e+14\n", + "\n", + "0.62083 7.969e+15 6.80e+14 1.0432e-01\n", + "0.62465 7.833e+15 6.92e+14 8.9568e-01\n", + "0.62362 7.847e+15 6.91e+14\n", + "\n", + "0.70568 9.858e+15 9.38e+14 1.0000e+00\n", + "0.70697 9.858e+15 9.38e+14\n", + "\n", + "0.83009 1.153e+16 1.04e+15 1.0000e+00\n", + "0.83199 1.153e+16 1.04e+15\n", + "\n", + "0.95461 1.030e+16 7.43e+14 1.0000e+00\n", + "0.95700 1.030e+16 7.43e+14\n", + "\n", + "1.62125 7.478e+15 6.70e+14 1.6223e-01\n", + "1.62507 8.321e+15 6.88e+14 8.3777e-01\n", + "1.62383 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", 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", 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agbclOnfujM2bN+Po0aOoV68erl+/jlOnTmkECFevXoWI6Fw3IC0INtaDBw8QFhYGDw8P/PLLL7C1tVWNUzY7JSQkaM336tUrjWnUxcbGok2bNnj58iUOHz6s0SSanJyMjz76CB988AFq1aplsGxOTk5ITEzUOe7Vq1d6m8UOHDiAu3fvYuTIkQbzN8WlS5fQrl07VKpUCUuXLs20vDLa5vrW2dD3GB0djc8//xyjR49GsWLFDJbNycnJ6O+7Y8eOsLOzw++//65Ka9u2LUqXLo2xY8di3bp1JuepbuPGjXj16lXebNoCg558o1y5cgDS2q6rVq1q9fyVJ/9//vlHb/7//PMPgLSahvyuQIECqFOnDg4ePIhr167hwYMHaNiwIXx8fJCUlITjx4/j0KFDKFeuHLy9vQ3mpa/mJSUlRWe6+oFZnXotR07SqFEjXL9+HVu2bMGff/6JpUuXYvbs2Vi0aBH69etnlWW8/fbbcHZ2xvr161GvXj2sX78eNjY26Nixo2qa1NRUKBQK/PHHHzq3obH9rqKiotC6dWu8ePEChw4dgr+/v8Z4Pz8/AND5LJn79++rnq+lLjExEe3bt8c///yDnTt3aj1D68cff8Tly5exePFirYcyvnz5Erdu3UKRIkXg7OwMPz8/pKSk4NGjRyhSpIjGMp4+fapVXqXVq1fDxsZGozbUEpGRkWjRogU8PDywfft2sy+WjMkro22ua50z+h5nzpyJxMREdO7cWbXNlf3hnj9/jlu3bsHf3x/29vbw8/PDvn37ICIav2dleZR537hxAzt27MAPP/ygsSwvLy80aNBAoz+gsXmmt3r1anh4eKBNmzY6x+d2bN7KJ1q3bg1bW1v89NNPmZr/qlWr9E7z448/ws7ODq1atTKYl76TeFBQEK5evYrU1FSN9EuXLqnGG5pfn5IlS2p0sLVk2aZo2LAh/v77b+zevRuFCxdGuXLl4OXlhYoVK+LQoUM4dOgQGjVqlGE+np6eAKDVkdbcmi/AuG1iiK6mqCtXrsDZ2Rne3t7w9vaGs7MzLl++rDXdpUuXYGNjo3F17OXlhd69e2Pt2rWIjIxESEhIhk+9NmU/cHFxQZs2bbBhwwakpqZi3bp1aNiwocaJoWTJkhARBAcHo1mzZlrDG2+8keFyXr16hbfffhtXrlzB1q1bdV4ABAQEwNvbW+cDBv/++2+ti4rU1FT06NEDe/bswZo1a9C4cWOt+SIiIpCUlIT69esjODhYNQBpv8vg4GD8+eefAKDKP/3yT548idTUVJ0XNQkJCdi4cSNCQ0P1nkxN8fTpU7Ro0QIJCQnYuXOnKijJrLwqVaoEOzs7rXVOTEzE2bNntdbZmO8xIiICz58/R8WKFVXbW9msPGXKFAQHB+PChQsA0rZ5XFwcLl68qJGHskO/cvkPHz4EoPuCJikpCcnJyarPxuap7v79+9i3bx86dOigs2ksT8jODkVkPnOeozNo0CABIHPnztWaPiUlRWbOnGnRc3r69esnAOT777/Xmn7hwoUCQAYOHJjhunXu3FkKFiyola7sTLxmzRpVWlJSktSvX1+jM7HyVtzhw4dnuCwR0zoyZ7RsEeOf06N87krZsmXl3XffVaV/+OGHUqZMGaNuDxYR2bp1qwCQLVu2qNJiYmIkMDBQ7y3r6TVu3FgaN26s+myNjsynTp1SpUVERIijo6PGer777rvi4OCgUb4HDx6Iu7u7RkfmJ0+eaC2jY8eOUrhwYdVnXR2ZfXx8pG3btlrz6urgLZL2wD78/3NwdO3H165dE1tbW+natavWNkhNTdVZTnXJycnyzjvviJ2dndbt4OkNGjRInJycNG6F3717twCQhQsXakw7ePBgref3pHfx4kXZtGmT1gBA3nrrLdm0aZPcu3dPRNJ+P15eXtKmTRuNPLp37y7Ozs7y9OlTrfx//fVXnR159THUkTkmJkZq164tbm5uGp3hzWFKXq1atRI/Pz+N3/LSpUsFgPzxxx+qNGO/x1OnTmltb+W+1atXL9m0aZO8ePFCRNIe+aHvmToBAQGqZ+o8evRIbGxsJDQ0VGMfjIyMFFdXV40HKRqbp7pZs2ZZrcN4TsWgJ5cyJyiJjY2V5s2bCwAJDQ2VmTNnyrJly2TcuHFSoUIFsbGxkTt37pid/8uXL6VBgwYCQN555x35/vvv5fvvv5e2bdsKYPwTmadPny4AZOTIkbJmzRr57bffRCTtYFy+fHmxt7eXUaNGybx581TP9ZkzZ45GHhUqVBBfX19ZsGCBrF271uCTUl++fCkVKlQQW1tb6d+/vyxatEimTJkib7zxhpw9e9bkZRsb9MTExIidnZ0AkG+//VaVvnbtWlXgcOvWrQzzSUxMlMDAQClcuLBMmzZNZs6cKRUqVJAaNWqYHfQYs030ASCVKlWSwoULy8SJE2XatGkSFBQkjo6Ocu7cOdV0//77r7i4uEhAQIBMnjxZpk2bJiVKlBAHBwc5duyYaroiRYpIp06dZNq0abJkyRIZOHCgKBQKGTZsmGoaXUHPW2+9JS4uLvLtt9/K2rVrVXnqC3ri4+PFzc1N3NzcxNbWVh4+fKi1blOnThUAUq9ePZk+fbosXLhQPv30UyldurTOp+yqUz7h9u2339b5BFx1ERERUqhQISlZsqTMnTtXpkyZIp6enlK5cmWNO7dmz54tAKRu3bo688zo9wYdd2+JvH7Gy3vvvSdLliyRHj16CAC9d6gp7/ZRnsR1+e2332TSpEkyadIksbe3l2rVqqk+q+8XyuNFnz59tNZn06ZNBtcnPVPyOnXqlDg4OGg8kdnR0VFatGihMZ0p32N6+u7eEnl9Z96AAQNkyZIlqqcnr169WmM65cVlkyZNZN68eTJlyhQpWrSo2Nraaj0Ly9g8lWrUqCH+/v5aD3TMSxj05FLmBCUiaVcpS5culYYNG4qHh4cUKFBAgoKCpHfv3hq3m5ubf0JCgsyePVtq1KghLi4u4uzsLNWrV5c5c+ZIYmKiUesWExMjXbt2lYIFCwqg/XDC3r17S+HChcXe3l4qV64sK1as0Mrjr7/+kho1aoi9vb1RQcjTp09l6NChEhAQIPb29lK0aFHp2bOnxtW7scs2NugREalVq5YAkOPHj6vS7ty5IwCkWLFiRuUhknbArlOnjtjb20tgYKDMmjXL4MMJ00sf9IgYt010UZ5If/rpJyldurTqRLJv3z6taU+fPi0tW7YUV1dXcXZ2liZNmmjdevv1119L7dq1pWDBguLk5CTlypWTyZMna+xPuoKeS5cuSaNGjcTJyUkA/Q8nVNetWzcBIM2aNdO7fhs3bpQGDRqIi4uLuLi4SLly5WTIkCFy+fJlg9tF14M31Yf0/v33X2nRooU4OztLwYIFpVu3bvLgwQONaXr27GkwT13rqE5f0CMi8sMPP0jZsmXF3t5eSpYsKbNnz9ZZyxcVFSWOjo4ZPjjQUFnVf0fKxyroGkx9UrupeR06dEjq1asnjo6O4u3tLUOGDNGo+REx/XtUZyjoSUlJkSlTpqgeBlqxYkWNR2QoJSUlybx586Rq1ari6uoqrq6u0qRJE9m7d6/ZeYqk/V6AjB8pktspRHJo70UiypUUCgWGDBmC+fPnZ3dRiIg0sCMzERER5Qu8ZZ2IiHKVqKgogw8MBABfX98sKg3lJgx6iIgoVxk+fDhWrlxpcBr23CBd2KeHiIhylQsXLuDevXsGp2nWrFkWlYZyEwY9RERElC+wIzMRERHlCwx6iIiIKF9g0EOZJjw8HAqFQuc7hAAgNDRU68WIOU1cXBzGjx+P/fv3Z+pyTp8+DYVCgf/97396p7l69SoUCgU+/vhjjfRPP/0UCoUCnTt3NmmZvXr1MviSTIVCgaFDh6o+79+/HwqFAr/88ovO6YcOHWrye8/UpaamYvr06QgODoajoyNCQkKwdu1aremWLFmCxo0bw8fHBw4ODggODkbv3r21XqSp3P/0DatXr86wTAkJCfjss8/g7+8PJycn1KlTB7t27dKYJi4uDgsWLECLFi3g5+cHNzc3VKtWDQsXLtT5jiRrr+etW7dU67Rx40atfMaPHw+FQoEnT55YZX3Vl6dr6N+/v1a+p0+fxjvvvAMvLy84OzujUqVKmDt3bobl2bRpE1q2bAl/f384ODigaNGieO+993S+F27kyJGoXr26ahnly5fH+PHjERMTozNvY8uUmJiIKVOmoFy5cnB0dISPjw/CwsJULw9dv349FAoFNm3apDVvlSpVoFAosG/fPq1xgYGBqFevXobbgKyLd28RGRAXF4cJEyYASAvSMkv16tVRrlw5rF27Fl9//bXOadasWQMA6N69uypNRLB27VoUL14cv//+O16+fGnR26iz09ixY/HNN9+gf//+qFWrFrZs2YKuXbtCoVDg/fffV0135swZBAcH45133oGnpydu3ryJJUuWYOvWrTh37pzqhZeNGjXS+QLc2bNn49y5c3jzzTczLFOvXr3wyy+/YMSIEShdujTCw8Px1ltvYd++fWjQoAGAtDdfDxs2DG+++SY+/vhjuLu7Y+fOnRg8eDCOHTumdZeRtddT3cSJE9G+fXuzg09j1tfb21vndt2xYwdWr16NFi1aaKT/+eefePvtt1GtWjV8+eWXcHV1xfXr11VBgyHnz5+Hp6cnhg8fjsKFC+PBgwdYvnw5ateujaNHj6JKlSqqaU+cOIGGDRuid+/ecHR0xJkzZ/DNN99g9+7dOHjwIGxsXl/jG1umpKQkhIWF4a+//kL//v0REhKC58+f4/jx44iKikLRokVV2+Xw4cNo166dat7o6Gj8+++/sLOzw5EjR9CkSRPVuMjISERGRmp835RFsu9h0JTXmfsqi5zk8ePHJr1WwhKTJk0SAHL06FGd48uWLSvlypXTSNu7d68AkL1790qBAgUkPDzc6OX17NlTXFxc9I5HulcU7Nu3TwDIhg0bdE4/ZMiQDB/Dr8+dO3f0vhyxaNGiOl+OqO7kyZMCQKZOnWpwuri4OHFzc5PmzZtnWKbjx49rvTIgPj5eSpYsKXXr1lWlPX78WP7991+t+Xv37i0A5OrVq5m6nspXG1StWlUAyMaNGzXmUb6i4/Hjx1ZZX33efPNNcXd3l/j4eFVaVFSU+Pj4SLt27az2PqcHDx6InZ2dUS8vnjlzptZvypQyTZs2TQoUKKDxmhhdgoODpXbt2hppO3bsEIVCIV26dJGWLVtqjFuzZo3WS4Ipa7B5i3KUFStWoGnTpihSpAgcHBxQoUIFLFy4UGu64sWLo02bNti/fz9q1qwJJycnVK5cWdUM9euvv6Jy5cpwdHREjRo1cObMGY35lU07N27cQMuWLeHi4gJ/f39MnDhR9XyPW7duwdvbGwAwYcIEVfX9+PHjVfns3bsXDRs2hIuLCwoWLIi2bdvi4sWLGstSNi9cu3YNvXr1QsGCBeHh4YHevXsjLi5ONV23bt0AvK7RUXfq1ClcvnxZNY3S6tWrUaFCBTRp0gTNmjUzqskmJ9qyZQuSkpIwePBgVZpCocCHH36IO3fu4OjRowbnL168OADgxYsXBqdT1oal3466/PLLL7C1tcWAAQNUaY6Ojujbty+OHj2KyMhIAEDhwoVRsWJFrfmVV/3q+0Nmruf777+PMmXKaOzDpjB2fXW5f/8+9u3bh/bt28PR0VGVvmbNGjx8+BCTJ0+GjY0NYmNjkZqaanLZ1BUpUgTOzs4ZfteA7u1lbJlSU1Px3XffoV27dqhduzaSk5M1fq/qGjRogDNnzmg8MPHIkSOoWLEiWrdujWPHjmks48iRI1AoFKhfv75xK01Ww6CHMl1UVBSePHmiNSQlJWlNu3DhQgQFBeGLL77At99+i2LFimHw4MFYsGCB1rTXrl1D165d8fbbb2Pq1Kl4/vw53n77baxevRojR45E9+7dMWHCBFy/fh2dOnXSOrClpKSgVatW8PHxwfTp01GjRg2MGzcO48aNA5BWja8MuNq1a4dVq1Zh1apVaN++PQBg9+7daNmyJR49eoTx48fj448/xl9//YX69etr9bsAgE6dOuHly5eYOnUqOnXqhPDwcFXTGQAEBwejXr16WL9+vVZfEGUg1LVrV1VaQkICNm7ciC5dugAAunTpgr179+LBgwcZfifqdH03xvT/sKYzZ87AxcUF5cuX10ivXbu2anx6T58+xaNHj3Dy5En07t0bADJsslq9ejWcnJxU32FGZSpTpgzc3d11luns2bMG51d+D4ULF9bIM7PW09bWFv/73/9w7tw5nf1LMmLJ+v78889ITU3VCiZ3794Nd3d33L17F2XLloWrqyvc3d3x4Ycf4tWrV0aX7cWLF3j8+DHOnz+Pfv36ITo6Wuc2SE5OxpMnT3Dv3j38+eef+N///gc3NzfVOphSJuWzgEJCQjBgwAC4uLjAxcUFISEhWn10GjRogKSkJBw/flyVduTIEdSrVw/16tVDVFSURj+kI0eOoFy5cihUqJDR24CsJLurmijvUjZvGRrSN2/FxcVp5dOyZUspUaKERpry7cnqb+TeuXOnABAnJye5ffu2Kn3x4sUCQOMt38o3Pg8bNkyVlpqaKmFhYWJvb69qCjDUvFW1alUpUqSIPH36VJV27tw5sbGxkR49eqjSlM0Lffr00Zi/Xbt2UqhQIY20BQsWCADZuXOnKi0lJUUCAgK0mhh++eUXjeaT6OhocXR0lNmzZ2uVVZeM3tCNLGzeCgsL0/qORURiY2MFgIwZM0ZrnIODg6qchQoVkrlz5xpcxtOnT8Xe3l46depkVJkqVqwoTZs21Ur/77//BIAsWrRI77wJCQlSoUIFCQ4OlqSkJFV6Zqyn+pu7k5OTpXTp0lKlShXVG9GNbd6yZH1r1Kghfn5+Ws1FISEh4uzsLM7OzjJs2DDZuHGjDBs2TADI+++/b7A86sqWLavaBq6urvK///1PZ9PU0aNHNfbfsmXLavzuTSnTr7/+qtrmpUuXlhUrVsiKFSukdOnSYm9vL+fOndPaRpMmTRKRtDehu7i4yMqVK0VExMfHRxYsWCAiab9TW1tb6d+/v9HrT9bDjsyU6RYsWIAyZcpopY8aNUqrRsPJyUn1f1RUFJKSktC4cWPs3LkTUVFR8PDwUI2vUKEC6tatq/pcp04dAEDTpk0RGBiolX7jxg2tzsjqdycp71batm0bdu/ebbCT4f3793H27Fl8+umn8PLyUqWHhISgefPm2L59u9Y8gwYN0vjcsGFDbNq0CdHR0aqr686dO2PEiBFYs2aNqkPogQMHcPfuXXz++eca869evRo1a9ZEqVKlAABubm4ICwvD6tWrMWLECL1lV+fo6Ijff/9d57jmzZsblYc1xMfHw8HBQStd2VSi6z1Lf/zxB169eoWLFy/ip59+QmxsrMFl/PLLL0hMTDSqacvcMikNHToUFy5cwLZt22Bn9/owm9nrqazt6dmzJzZv3qzRsTYj5q7vlStXcOrUKYwcOVKjszAAxMTEIC4uDoMGDVLdGdW+fXskJiZi8eLFmDhxIkqXLp1h2VasWIHo6GjcuHEDK1asQHx8PFJSUrSWV6FCBezatQuxsbH466+/sHv3bq27t4wtk3K+ly9f4syZMyhWrBiAtONLqVKlMH36dPz0008AgPLly6NQoUI4fPgwAODcuXOIjY1V3Z1Vr149HDlyBIMHD8bRo0eRkpKi6gBNWYtBjw4HDx7EjBkzcOrUKdy/fx+bNm3Cu+++a/T8r169wqBBg3Dq1ClcvHgRbdq0webNmzWm6dWrl853x1SoUAH//fefhWuQs9SuXRs1a9bUSvf09NRqRjly5AjGjRuHo0eParWfpw961AMbAKpxyoNT+vTnz59rpNvY2KBEiRIaacrgTFfzlLrbt28DAMqWLas1rnz58ti5cydiY2Ph4uKit7yenp6qcimDnkKFCqFly5bYtGkTFi1aBEdHR6xZswZ2dnbo1KmTat4XL15g+/btGDp0KK5du6ZKr1+/PjZu3IgrV66gTJkyiI+PR1RUlMZy1V/EaGtrmyMe1+/k5ISEhAStdGVzg3owrKS8G6Z169Zo27YtKlWqBFdXV41AVt3q1avh5eWF1q1bZ1qZAGDGjBlYsmQJJk2ahLfeesviPE1dz27dumHSpEmYOHGiScctc9dX2Y9MVzCpnEfZBKvUtWtXLF68GEePHjUq6FG/uHn//fdVzYMzZ87UmM7d3V21P7dt2xZr1qxB27Ztcfr0adWdXsaWSTld/fr1NY4pgYGBaNCgAf766y9VmkKhQL169XDw4EGkpqbiyJEjKFKkiOqCpF69epg/fz6AtGMcAAY92YR9enSIjY1FlSpVdPYjMUZKSgqcnJzw0Ucf6T2hfPfdd7h//75qiIyMhJeXFzp27GhJ0XO169ev480338STJ08wa9YsbNu2Dbt27cLIkSMBQKtPjq2trc589KVLNr9xxdhyde/eHdHR0di6dSsSExOxceNGtGjRQtWpGgA2bNiAhIQEfPvttyhdurRqUD7DR3kiWrduHfz8/DQGc2V0xR8XF6fRidUUfn5+ePDggda2uH//PgDovD1bXcmSJVGtWjW9HbkjIiJw6NAhdOzYEQUKFDC6TMrlG1um8PBwfPbZZxg0aJDOZy5l9noCr2t7zp49iy1bthjML33ZTF1fIK2/WdmyZVGjRg2tccp5fHx8NNKLFCkCQPtCxBienp5o2rSpUZ32lX23fv75Z5PLpG865bTpy96gQQNERUXh/Pnzqv48SvXq1cPt27dx9+5dHD58GP7+/loXXJQ1GPTo0Lp1a3z99dd6q4YTEhLwySefICAgAC4uLqhTp47Gw+tcXFywcOFC9O/fX+OqWp2Hhwd8fX1Vw8mTJ/H8+XNVR8X86Pfff0dCQgJ+++03DBw4EG+99RaaNWum9wrTUqmpqbhx44ZG2pUrVwC8vutD3/NOgoKCAACXL1/WGnfp0iUULlxYo5bHFO+88w7c3NywZs0a/PHHH3j+/LnOu7YqVaqEDRs2aA3NmjVTdXxu2bIldu3apTGYy9A6K9OV05iqatWqiIuL07rzTdkxtGrVqhnmoatWS2nt2rUQEaObtpTLvHLlCqKjo40q05YtW9CvXz+0b99e7wVTZq+nUvfu3VGqVClMmDDB6GDf1PVVjrt27Zre7aoMhO7evauRrnxZqHogbwpjtgGQdqxOTU3VmNbYMlWuXBkFChTQmk45bfqyqz+v58iRIxp3ZtWoUQMODg7Yv38/jh8/zru2slN2dijKDQDIpk2bNNL69esn9erVk4MHD8q1a9dkxowZ4uDgIFeuXNGav2fPntK2bdsMl9OmTRujnh2Sm5j6nJ65c+cKALl165Yq7cWLF+Ln5ycA5ObNm6r0oKAgCQsL08oT6Trfimh29FQy1JG5QIEC8ujRIxFJ61gNQIYPH661rKpVq4qPj488f/5clXb+/Hm9HZnTdyRVbh/19VLq0aOHODg4SMuWLcXFxUViYmJU4yIiIkShUMjEiRO15hMRWb16tQCQY8eO6Ryvvg1MeU6PSNo6BwUFaayzSNrzY2xsbGTEiBEGl6lPZGSk3ufXBAQEqJ5fk5SUJM+ePdOa//jx42JraysffPCBzvxDQkIkMDBQ1bk3vcePH8vFixclNjZWlXbs2DGt/ebVq1dSqlQpqVOnjsb8Bw4cEEdHR2nSpIm8evUqS9dT1/4tIhIeHq7x/J6MOjKbsr5KH330kQCQa9eu6Rx/+vRpASBdu3bVSO/SpYvY2dnJ3bt3VWm3b9+Wixcvakz38OFDrTxv3rwpbm5u0rBhQ1Xa8+fPJTExUWta5XN6li1bZlaZ2rZtK7a2thrlunDhgtja2srgwYM15k9ISBBHR0epW7euAJAjR45ojK9bt65q3HfffadVVsoaDHoykD7ouX37ttja2mr8METSHsz1+eefa81vTNBz9+5dsbW1lXXr1lmjyDmGqUHPpUuXxN7eXipXrizz58+Xb775RkqWLClVqlTJlKDH0dFRSpcuLT169JAFCxZImzZtBIB88cUXGvNXqFBBfH19ZcGCBbJ27Vo5f/68iIjs2rVL7OzspFy5cjJjxgyZOHGieHt7i6enp9y4cUM1vzlBz59//qm6A6Vbt24a47755hsBIGfPntW5XZ8/fy52dnYaAZ0u5gQ9yocgBgUFybhx42Tx4sUyYsQIcXZ2loCAAK2TlHLd099Bo8vo0aMFgAwYMECWLFkiYWFhAkBWr16tsW4uLi7Sp08f+fbbb2XRokUyZMgQcXZ2Fi8vL50XHufPn9d7Z1RG5ezYsaPY2dnJ6NGjZfHixVKvXj2xs7OTAwcOqKa5deuWeHh4iJOTkyxYsEBWrVqlMajf5ZMZ66kv6ElKSpKSJUuq9qOMgh5j11cpOTlZfHx85I033jCYZ58+fQSAdOrUSRYsWCAdO3YUAFrHy8aNG2vd/VekSBHp0qWLTJs2TX744QcZPXq0eHl5iaOjo0ZQsWnTJilWrJiMHDlSvv/+e5kzZ4506NBBFAqF1KxZUxISEswq03///Seurq7i5+cnU6dOlalTp4qfn594e3vLnTt3tNa1YcOGAkAcHBy0gt9Ro0apvotTp04Z3GaUeRj0ZCB90LN161YBIC4uLhqDnZ2dzlthjQl6pkyZIoUKFdL6YeZ25jyR+bfffpOQkBBxdHSU4sWLy7Rp02T58uWZEvS4uLjI9evXpUWLFuLs7Cw+Pj4ybtw4rVth//rrL6lRo4bY29tr3b6+e/duqV+/vjg5OYm7u7u8/fbbcuHCBY35zQl6kpOTVTVc27dv1xhXuXJlCQwM1JpHXWhoqBQpUkTjdun0zAl6RNJqBNq0aSOenp5iZ2cnAQEB0q9fP50ngVGjRolCodC6gtclJSVFpkyZIkFBQWJvby8VK1aUn376SWOahIQEGT58uISEhIi7u7sqAOvbt6/O7SgiMmbMGAEg//zzj95l6wt64uPj5ZNPPhFfX19xcHCQWrVqyY4dOzSmUd7Kr29I/7gDa6+nvqBHRPOxEcYEPcasr9KOHTsEQIaPCkhMTJTx48dLUFCQFChQQEqVKqXzsQq6gp5x48ZJzZo1Vfuav7+/vP/++1rf5bVr16RHjx5SokQJcXJyEkdHR6lYsaKMGzdOo5bU1DKJiJw6dUqaNWsmLi4u4ubmJm3bttUZXIuIfP755wJA6tWrpzVOeQu8m5tbhk/epsyjEMnm3p05nPJFcsq7INatW4du3brhv//+0+qY6urqqtWHp1evXnjx4oXW3VtKIoIyZcqgTZs2mD17dmasAumgfMeQvpcRknXUrl0bQUFB2LBhQ3YXhYiIt6ybqlq1akhJScGjR4/QsGFDi/M7cOAArl27hr59+1qhdEQ5R3R0NM6dO6fz0QxERNmBQY8OMTExGs8+uXnzJs6ePQsvLy+UKVMG3bp1Q48ePfDtt9+iWrVqePz4Mfbs2YOQkBCEhYUBSHuEeWJiIp49e4aXL1+qHuGe/g6IZcuWoU6dOqhUqVJWrR5RlnB3d9f53BciouzCoEeHkydPqh4IBkD17JOePXsiPDwcK1aswNdff41Ro0bh7t27KFy4MN544w20adNGNc9bb72leoAdkFZDBGg+kyUqKgobN27Ed999l9mrRERElO+xTw8RERHlC3w4IREREeULDHqIiIgoX2CfHjWpqam4d+8e3Nzc9L5+gIiIiHIWEcHLly/h7+8PGxv99TkMetTcu3dP6w3dRERElDtERkaiaNGiescz6FHj5uYGIG2jubu7Z3NpiIiIyBjR0dEoVqyY6jyuD4MeNcomLXd3dwY9REREuUxGXVPYkZmIiIjyBQY9RERElC8w6CEiIqJ8gUEPERER5QsMeoiIiChfYNBDRERE+QKDHiIiIsoXGPQQERFRvsCgh4iIiPIFBj1ERESULzDoISIionyBQQ8RERHlCwx6iIiIKF9g0ENERET5AoMeC8TGAgpF2hAbm92lISIiIkMY9BAREVG+wKCHiIiI8gUGPURERJQvMOghIiKifIFBDxEREeULDHqIiIgoX2DQQ0RERPkCgx4iIiLKFxj0EBERUb7AoIeIiIjyBQY9RERElC8w6CEiIqJ8gUEPERER5QsMeoiIiChfYNBDRERE+QKDHiIiIsoXGPQQERFRvsCgh4iIiPIFBj1ERESULzDoISIionyBQQ8RERHlCwx6iIiIKF9g0ENERET5AoMeIiIiyhcY9BAREVG+wKCHiIiI8gUGPURERJQv5JmgZ/z48VAoFBpDuXLlsrtYRERElEPYZXcBrKlixYrYvXu36rOdXZ5aPSIiIrJAnooK7Ozs4Ovrm93FICIiohwozzRvAcDVq1fh7++PEiVKoFu3boiIiDA4fUJCAqKjozUGIiIiypvyTNBTp04dhIeHY8eOHVi4cCFu3ryJhg0b4uXLl3rnmTp1Kjw8PFRDsWLFsrDERERElJUUIiLZXYjM8OLFCwQFBWHWrFno27evzmkSEhKQkJCg+hwdHY1ixYohKioK7u7uGS4jNhZwdU37PyYGcHGxStGJiIjIBNHR0fDw8Mjw/J2n+vSoK1iwIMqUKYNr167pncbBwQEODg5ZWCoiIiLKLnmmeSu9mJgYXL9+HX5+ftldFCIiIsoB8kzQ88knn+DAgQO4desW/vrrL7Rr1w62trbo0qVLdheNiIiIcoA807x1584ddOnSBU+fPoW3tzcaNGiAY8eOwdvbO7uLRkRERDlAngl6fv755+wuAhEREeVgeaZ5i4iIiMgQBj1ERESULzDoISIionyBQQ8RERHlCwx6iIiIKF9g0ENERET5AoMeIiIiyhcY9BAREVG+wKCHiIiI8gUGPURERJQvmBT0xMXF4cyZM3j58qXWuCNHjlitUERERETWZnTQc+zYMQQFBaFNmzbw8fHB119/rTG+devWVi8cERERkbUYHfR8/PHHmD9/Pu7evYtz585h69at6NGjB0QEAFR/iYiIiHIio4OeCxcuoHPnzgCA0qVLY//+/Xj27BnatWuHxMTETCsgERERkTUYHfR4eHjg7t27qs+Ojo7YvHkznJyc0LJlS6SmpmZKAYmIiIisweigp1mzZlixYoVGmp2dHdasWYNSpUohPj7e6oUjIiIishaFGNkZJzExEcnJyXB2dtY5PiIiAoGBgVYtXFaLjo6Gh4cHoqKi4O7unuH0sbGAq2va/zExgItLJheQiIiItBh7/rYzNkN7e3vY29vrHZ/bAx4iIiLK2/hwQiIiIsoXjK7pMeTw4cNYvnw5bty4gefPn2vdvq5QKHDu3DlrLIqIiIjILBYHPbNmzcLo0aPh6OiIsmXLwsvLyxrlIiIiIrIqi4OeGTNmoH79+vj999/h4eFhjTIRERERWZ3FfXri4uLQrVs3BjxERESUo1kc9DRp0gTnz5+3RlmIiIiIMo3FQc+8efOwZ88ezJw5E8+ePbNGmYiIiIiszuKgp1ixYhg4cCDGjBkDb29vuLi4wN3dXWNg0xcRERFlN4s7Mn/11VeYPHkyAgICULNmTQY4RERElCNZHPQsWrQIYWFh2Lx5M2xs+KxDIiIiypksjlISExMRFhbGgIeIiIhyNIsjlTZt2uDQoUPWKAsRERFRprE46Bk3bhwuXLiAwYMH49SpU3j8+DGePXumNRARERFlJ4Wkf1GWidSbtRQKhd7pUlJSLFlMljD21fRKsbGAq2va/zExgItLJheQiIiItBh7/rbK3VuGgh0iIiKinMDioGf8+PFWKAYRERFR5rK4T09ycjKio6P1jo+OjkZycrKliyEiIiKyiMVBz0cffYR69erpHV+/fn2MGjXK0sUQERERWcTioGfHjh1477339I5/7733sH37dksXQ0RERGQRi4Oee/fuISAgQO94f39/3L1719LFEBEREVnE4qCnUKFCuHz5st7xFy9eNOr2byIiIqLMZHHQ06pVKyxevBhnzpzRGnf69Gn88MMPaN26taWLISIiIrKIxUHPpEmT4O7ujtq1a6NDhw746quv8NVXX6F9+/aoU6cOPDw8MGnSJGuU1STffPMNFAoFRowYkeXLJiIiopzH4uf0+Pv74+TJkxgzZgy2bNmCTZs2AQDc3d3RrVs3TJkyBf7+/hYX1BQnTpzA4sWLERISkqXLJSIiopzLrJqemTNn4tKlS6rPfn5+WLlyJZ4/f44HDx7gwYMHeP78OcLDw7M84ImJiUG3bt2wZMkSeHp6ZumyiYiIKOcyK+iZPn06KlasiBIlSmDYsGHYsWMHEhISoFAoUKRIERQpUiTbXk0xZMgQhIWFoVmzZhlOm5CQgOjoaI2BiIiI8iazgp6HDx/iyJEj+OCDD3D06FGEhYWhUKFCePvtt7Fo0SJERERYu5xG+fnnn3H69GlMnTrVqOmnTp0KDw8P1VCsWLFMLiERERFlF4vfsg6kBUHbtm3DH3/8gV27duHly5eoUKECwsLC0KZNG9SrV0/jbeyZITIyEjVr1sSuXbtUfXlCQ0NRtWpVzJkzR+c8CQkJSEhIUH2Ojo5GsWLF+JZ1IiKiXMTYt6xbJehRl5ycjEOHDmH79u3Yvn07Ll68iIIFC6JFixYYOXIk6tSpY83FqWzevBnt2rWDra2tKi0lJQUKhQI2NjZISEjQGKeLsRtNiUEPERFR9su2oCe9W7duYdu2bdi+fTuaNGmCTz75JFOW8/LlS9y+fVsjrXfv3ihXrhw+++wzVKpUKcM8GPQQERHlPjkm6MlOGTVvpcegh4iIKPcx9vxt8nN6zO2kHBgYaNZ8RERERNZgctBTvHhxs25HT0lJMXkeS+3fvz/Ll0lEREQ5k8lBz/Lly7PtGTxERERE5jI56OnVq1cmFIOIiIgoc1n87i11MTExiIyMBAAUK1YMrspevkRERETZzCpPDDxx4gSaNGkCT09PVKpUCZUqVYKnpyeaNm2KkydPWmMRRERERBaxuKbn+PHjCA0Nhb29Pfr164fy5csDAC5evIi1a9eiUaNG2L9/P2rXrm1xYYmIiIjMZfFzepo1a4Zbt27h8OHD8PX11Rj38OFD1K9fH8HBwdi1a5dFBc0KfE4PERFR7mPs+dvi5q3jx49j4MCBWgEPAPj4+GDAgAE4duyYpYshIiIisojFQY+NjQ2Sk5P1jk9JScn0l40SERERZcTiaKRevXpYsGCB1nuvgLSnN3///feoX7++pYshIiIisojFHZmnTJmCRo0aoVy5cmjXrh3KlCkDALh8+TK2bNkCOzs7TJ061eKCEhEREVnC4qCnWrVqOH78OMaOHYvffvsNcXFxAABnZ2e0atUKX3/9NSpUqGBxQYmIiIgsYZWHE1aoUAGbNm1CamoqHj9+DADw9vZmXx4iIiLKMaz6RGYbGxv4+PhYM0siIiIiq7BK0HP48GEsX74cN27cwPPnz5H+0T8KhQLnzp2zxqKIiIiIzGJx0DNr1iyMHj0ajo6OKFu2LLy8vKxRLiIiIiKrsjjomTFjBurXr4/ff/8dHh4e1igTERERkdVZ3NM4Li4O3bp1Y8BDREREOZrFQU+TJk1w/vx5a5SFiIiIKNNYHPTMmzcPe/bswcyZM/Hs2TNrlImIiIjI6iwOeooVK4aBAwdizJgx8Pb2houLC9zd3TUGNn0RERFRdrO4I/NXX32FyZMnIyAgADVr1mSAQ0RERDmSxUHPokWLEBYWhs2bN/MJzERERJRjWRylJCYmIiwsjAEPERER5WgWRypt2rTBoUOHrFEWIiIiokxjcdAzbtw4XLhwAYMHD8apU6fw+PFjPHv2TGsgIiIiyk4KSf+iLBOpN2spFAq906WkpFiymCwRHR0NDw8PREVFwd3dPcPpY2MBV9e0/2NiABeXTC4gERERaTH2/G2Vu7cMBTtEREREOYHFQc/48eOtUAwiIiKizMVbroiIiChfYNBDRERE+QKDHiIiIsoXGPQQERFRvsCgh4iIiPIFBj1ERESULzDoISIionwh04Oepk2bonv37rhw4UJmL4qIiIhIr0wPevbv3481a9YgJCQEH3zwQWYvjoiIiEinTA96UlNT8fLlS/z222/w8/PL7MURERER6WTxC0fzEr5wlIiIKPcx9vzNjsxERESUL1g16ImJiUFkZCQiIiK0hsy2cOFChISEwN3dHe7u7qhbty7++OOPTF8uERER5Q4Wv2X91atXmDBhApYtW4anT5/qnS4lJcXSRRlUtGhRfPPNNyhdujREBCtXrkTbtm1x5swZVKxYMVOXTURERDmfxUHP4MGDsXLlSrz77rto2LAhPD09rVEuk7399tsanydPnoyFCxfi2LFjDHqIiIjI8qDn119/Rb9+/bB48WJrlMcqUlJSsGHDBsTGxqJu3bp6p0tISEBCQoLqc3R0dFYUj4iIiLKBxX16FAoFqlevbo2yWOz8+fNwdXWFg4MDBg0ahE2bNqFChQp6p586dSo8PDxUQ7FixbKwtERERJSVLL5lvVevXoiNjcWGDRusVSazJSYmIiIiAlFRUfjll1+wdOlSHDhwQG/go6ump1ixYrxlnYiIKBcx9pZ1i4Oe69evo1OnTqhRowYGDhyIwMBA2Nraak3n5eVlyWLM0qxZM5QsWdLopjc+p4eIiCj3Mfb8bXGfntKlSwMAzpw5g2XLlumdLrPv3tIlNTVVoyaHiIiI8i+Lg56vvvoKCoXCGmWxyOeff47WrVsjMDAQL1++xJo1a7B//37s3Lkzu4tGREREOYDFQc/48eOtUAzLPXr0CD169MD9+/fh4eGBkJAQ7Ny5E82bN8/uohEREVEOYHHQk1MYalojIiIiskrQc/jwYSxfvhw3btzA8+fPkb5vtEKhwLlz56yxKCIiIiKzWBz0zJo1C6NHj4ajoyPKli2bLXdpEREREWXE4qBnxowZqF+/Pn7//Xd4eHhYo0xEREREVmfxE5nj4uLQrVs3BjxERESUo1kc9DRp0gTnz5+3RlmIiIiIMo3FQc+8efOwZ88ezJw5E8+ePbNGmYiIiIiszuKgp1ixYhg4cCDGjBkDb29vuLi4wN3dXWNg0xcRERFlN6s8kXny5MkICAhAzZo1GeAQERFRjmRx0LNo0SKEhYVh8+bNsLGxuOKIiIiIKFNYHKUkJiYiLCyMAQ8RERHlaBZHKm3atMGhQ4esURYiIiKiTGNx0DNu3DhcuHABgwcPxqlTp/D48WM8e/ZMayAiIiLKTgpJ/6IsE6k3aykUCr3TpaSkWLKYLBEdHQ0PDw9ERUXB3d09w+ljYwFX17T/Y2IAF5dMLiARERFpMfb8bZW7twwFO0REREQ5gcVBz/jx461QDCIiIqLMxVuuiIiIKF+wuKbHxsbGqOat3NCnh4iIiPKuTOnTk5KSglu3bmHz5s0oW7Ys2rRpY+liiIiIiCySqX167t+/jzfeeANlypSxdDFEREREFsnUPj1+fn4YNGgQJk2alJmLISIiIspQpndkdnFxwc2bNzN7MUREREQGZWrQ8++//2Lu3Lls3iIiIqJsZ3GfnuDgYJ13b7148QJRUVFwdnbG5s2bLV0MERERkUUsDnoaN26sFfQoFAp4enqiZMmSeP/99+Hl5WXpYoiIiIgsYnHQEx4eboVi5H537wJsxSMiIsq5+ERmC6xc+fr/8uWBZcuyryxERERkmMlvWY+IiDBrQYGBgWbNl5VMecv6nTtAUBCQmvo6zdYWuHULKFo0c8tJREREr2XaW9aLFy9u1lvV89prKK5e1Qx4ACAlBbh2jUEPERFRTmRy0LN8+XKzgp68pnRpwMZGu6anVKnsKxMRERHpZ3LQ06tXr0woRu5TtCgwbx4wZEjaZ1tbYPFi1vIQERHlVFbtyBwTE4OLFy/i4sWLiImJsWbWOVLPnq//v3AB6Ns3+8pCREREhlkl6Dlx4gSaNGkCT09PVKpUCZUqVYKnpyeaNm2KkydPWmMROV5AQHaXgIiIiAyx+Dk9x48fR2hoKOzt7dGvXz+UL18eAHDx4kWsXbsWjRo1wv79+1G7dm2LC0tERERkLpNvWU+vWbNmuHXrFg4fPgxfX1+NcQ8fPkT9+vURHByMXbt2WVTQrGDKLesAEBsLuLqm/R8TA7i4ZHIBiYiISIux52+Lm7eOHz+OgQMHagU8AODj44MBAwbg2LFjli6GiIiIyCIWBz02NjZITk7WOz4lJQU2NnzwMxEREWUvi6ORevXqYcGCBbh9+7bWuIiICHz//feoX7++pYshIiIisojFHZmnTJmCRo0aoVy5cmjXrh3K/P9bNy9fvowtW7bAzs4OU6dOtbigRERERJawOOipVq0ajh8/jrFjx+K3335DXFwcAMDZ2RmtWrXC119/jQoVKlhcUCIiIiJLWBz0AECFChWwadMmpKam4vHjxwAAb29v9uUhIiKiHMPiqCQ5ORnR0dFpmdnYwMfHBz4+PqqAJzo62mBHZ2uZOnUqatWqBTc3NxQpUgTvvvsuLl++nOnLJSIiotzB4qDno48+Qr169fSOr1+/PkaNGmXpYjJ04MABDBkyBMeOHcOuXbuQlJSEFi1aIDY2NtOXTURERDmfxUHPjh078N577+kd/95772H79u2WLsaocvTq1QsVK1ZElSpVEB4ejoiICJw6dSrTl01EREQ5n8V9eu7du4cAAy+e8vf3x927dy1djMmioqIAAF5eXnqnSUhIQEJCguqzspmOiIiI8h6La3oKFSpksO/MxYsXjXqlgzWlpqZixIgRqF+/PipVqqR3uqlTp8LDw0M1FCtWLAtLSURERFnJ4qCnVatWWLx4Mc6cOaM17vTp0/jhhx/QunVrSxdjkiFDhuDff//Fzz//bHC6zz//HFFRUaohMjIyi0pIREREWc3iF47eu3cPtWrVwqNHj/DOO++gYsWKAIB///0Xv//+O4oUKYLjx4+jaNGiVilwRoYOHYotW7bg4MGDCA4ONmlevnCUiIgo9zH2/G1xnx5/f3+cPHkSY8aMwZYtW7Bp0yYAgLu7O7p164YpU6bA39/f0sVkSEQwbNgwbNq0Cfv37zc54CEiIqK8zSoPJ/Tz88PKlSshIhoPJ1QoFNbI3ihDhgzBmjVrsGXLFri5ueHBgwcAAA8PDzg5OWVZOYiIiChnsrh5K6fQF2CtWLECvXr1MioPNm8RERHlPlnWvJVT5JHYjYiIiDIJX45FRERE+QKDHiIiIsoXGPQQERFRvsCgh4iIiPIFkzsyR0REmLWgwMBAs+YjIiIisgaTg57ixYub9fydlJQUk+chIiIishaTg57ly5dn6UMHiYiIiKzB5KDH2Af9EREREeUk7MhMRERE+YJVnsj86tUrbNy4EadPn0ZUVBRSU1M1xisUCixbtswaiyIiIiIyi8VBz+3bt9GkSRPcunULBQsWRFRUFLy8vPDixQukpKSgcOHCcFW+oIqIiIgom1jcvDV69GhERUXh2LFjuHLlCkQE69atQ0xMDKZNmwYnJyfs3LnTGmUlIiIiMpvFQc/evXsxePBg1K5dGzY2admJCBwcHDB69Gi8+eabGDFihKWLISIiIrKIxUFPXFwcihcvDgBwd3eHQqFAVFSUanzdunVx+PBhSxdDREREZBGLg57AwEDcuXMHAGBnZ4eAgAAcO3ZMNf7ChQtwdHS0dDFEREREFrG4I3PTpk2xZcsWjBs3DkDac3ymTp2K58+fIzU1FatWrUKPHj0sLigRERGRJSwOesaMGYMTJ04gISEBDg4O+OKLL3Dv3j388ssvsLW1RdeuXfHtt99ao6xEREREZlOIiGR3IXKK6OhoeHh4ICoqCu7u7hlOHxsLKO/Gj4kBXFwyuYBERESkxdjzt8V9eiIiIhAfH693fHx8vNlvZiciIiKyFouDnuDgYGzatEnv+N9++w3BwcGWLoaIiIjIIhYHPRm1jiUlJame30NERESUXczqyBwdHY0XL16oPj99+lRnE9aLFy/w888/w8/Pz+wCEhEREVmDWUHP7NmzMXHiRABpLxMdMWKE3qcuiwi+/vprswuYn7BjNBERUeYxK+hp0aIFXF1dISL49NNP0aVLF1SvXl1jGoVCARcXF9SoUQM1a9a0SmGJiIiIzGVW0FO3bl3UrVsXABAbG4sOHTqgUqVKVi0YERERkTVZ/HBC5ZOYASAmJgaRkZEAgGLFisFV2VZDRERElM2sclvViRMn0KRJE3h6eqJSpUqoVKkSPD090bRpU5w8edIaiyAiIiKyiMU1PcePH0doaCjs7e3Rr18/lC9fHgBw8eJFrF27Fo0aNcL+/ftRu3ZtiwtLREREZC6LX0PRrFkz3Lp1C4cPH4avr6/GuIcPH6J+/foIDg7Grl27LCpoVsju11Dw7i0iIiLTZdlrKI4fP46BAwdqBTwA4OPjgwEDBuDYsWOWLoaIiIhMFBsLKBRpQ2xsdpcm+1kc9NjY2CA5OVnv+JSUFD6RmYgoF+OJk/IKi6ORevXqYcGCBbh9+7bWuIiICHz//feoX7++pYshIiIisojFHZmnTJmCRo0aoVy5cmjXrh3KlCkDALh8+TK2bNkCOzs7TJ061eKCEhEREVnC4qCnWrVqOH78OMaOHYvffvsNcXFxAABnZ2e0atUKX3/9NSpUqGBxQYnyC3ZoJyLKHBYHPQBQoUIFbNq0CampqXj8+DEAwNvbm315iEgLgzoiyi4WRyURERGIj49Py8zGBj4+PvDx8VEFPPHx8TrfwE5ERESUlSwOeoKDg7Fp0ya943/77TcEBwdbuhgiIiIii1gc9GT0bMOkpCQ2c1GOxttxiYjyB7P69ERHR+PFixeqz0+fPtXZhPXixQv8/PPP8PPzM7uARLqwXwgREZnKrKBn9uzZmDhxIgBAoVBgxIgRGDFihM5pRQRff/212QUkIiIisgazgp4WLVrA1dUVIoJPP/0UXbp0QfXq1TWmUSgUcHFxQY0aNVCzZk2rFDYjBw8exIwZM3Dq1Cncv38fmzZtwrvvvpslyyYiIqKczaygp27duqhbty4AIDY2Fh06dEClSpWsWjBzxMbGokqVKujTpw/at2+f3cUhIiKiHMTi5/SMGzfOGuWwitatW6N169bZXQwiolyH/eQoP+BtVURERJQvWOWJzLlVQkICEhISVJ+jo6OzsTSUHdSvbomIKG/L1zU9U6dOhYeHh2ooVqxYdheJiCjHUX9+FZ9lRblZvg56Pv/8c0RFRamGyMjI7C4SERERZRKrNW/FxsYiOjoabm5ucM0l7QUODg5wcHDI7mIQERFRFrCopufWrVsYPHgwgoKC4O7ujqJFi8LDwwOBgYEYMmQIbt68aa1yGiUmJgZnz57F2bNnAQA3b97E2bNn+cLTbMBXOxARUU5jdtCzZcsWhISEYNGiRbC1tcXbb7+Nrl274u2334adnR0WLlyIkJAQbNmyxZrlNejkyZOoVq0aqlWrBgD4+OOPUa1aNXz11VdZVgYiIiLKmcxq3rpw4QI6d+6MEiVKYPHixWjYsKHWNIcOHcKgQYPw/vvv49SpU6hQoYLFhc1IaGhohi9AJSIiovzJrJqeKVOmoHDhwjh8+LDOgAcAGjZsiEOHDqFQoUKYOnWqRYUkorzp7t3sLgER5SdmBT379u1D37594eXlZXA6Ly8v9OnTB3v37jWrcESU96xc+fr/8uWBZcuyryxElL+YFfQ8ffoUxYsXN2ra4OBgPH361JzFEFEec+cOMGzY68+pqcDAgWnpRESZzaygp3DhwkbfmXXz5k0ULlzYnMUQWQ3vJssZrl5NC3TUpaQA165lT3mIciIerzKPWUFPaGgoli1bhmfPnhmc7tmzZ1i2bBlCQ0PNWQwR5TGlSwM26Y46trZAqVLZUx4iyl/MCnq++OILPH36FI0aNcJff/2lc5q//voLjRs3xtOnT/H5559bVEgiyhuKFgXmzXv92dYWWLw4LZ2IKLOZdct6hQoVsGbNGvTo0QMNGzZE8eLFUaVKFbi5ueHly5f4559/cPPmTTg6OuKnn35CxYoVrV1uykXu3gXKlMnuUlB20/Vy1wsXuG8QUdYx++GE7du3xz///IP+/fsjISEBmzdvxqpVq7B582bEx8ejX79+OHfuHN577z1rlpdyCd6hQ8YICMjuEhBRfmLRu7dKlCiBRYsWAQCio6Px8uVLuLm5wd3d3SqFo9xJ3x06LVuyGYOIiLKP1V446u7uzmCHABi+Q4dBDxERZRezgp6QkBCTplcoFDh37pw5i6JcSHmHjnrgk1vu0GH/IyLKS9RveY+NBVxcLMtL2S8vJsayvLKLWX16vLy8UKhQIdXg7u6Of//9FzY2NhrpyiGjJzdT3pLT79BxddX/7Av2PyJKw2fFUF5kVk3P/v37NT4/efIERYoUwaxZs9C0aVNrlItyuZ49gSFD0v7PiXfouLqmXamkf/cT+x8RUU6iPFblxlqVnMjsu7fUKRQKa2RDeUT6W5Nz8h06up4EzCcEE1FedO9edpcg+1kl6CFWBedWuvoZ5Zb+R5S9+Jun3GD16tf/16jB5nsGPZSvpa+Fymn9j9I3v1HewICJssKdO8Ann7z+bOwLftPvn8rP6R8umhsx6KEcKbtOChcuAH37Zt3ydOGDHSknYxOJbjkxkOULfrWZ1ZH59OnTGp+joqIAAFevXkXBggV1zlO9enVzFpVv8dbp7JHd/Y/y4oMddb1+gnKXdete/1+jBvDDD9l/cUAZy82PD8ksZgU9NWvW1Nl5efDgwVppIgKFQoGUlBRzFpWvpL/CzysHFkufDWGN5es66d69m/1BTnp8sCPlRGPHvv4/LwTi+UXRosDMmcDHH6d9zmnN99nBrKBnxYoV1i5HvpeXrvBzStVuRsqX13yeUE6QXVdmeeGhY5R5GIhnjqz43XXr9jroOXkSqFrV+svITcwKenr27GntcuR7eekKX/1uAeXnkSPNz0+9qc+aTSWpqcBHH1knL2tRPthR+YwjXplRTsAmktxH17HS3z97ypKTsCNzDqG8wleXGw8s6e8WANI+Z3S3QHrW7Mz7ww/6x+XEVlf1a4qc0LGaaPLk1/8zEKfczKyg59WrVxg0aBDmZdA2MHfuXHz44YdISkoyq3D5SU5/dYOxdNVYpaYC331nfB76mvpMDZyUeaUPwtTZ2pqeZ1bKaX2OKH/q3Pn1/9u2MRCn3MusoOeHH35AeHg4wsLCDE4XFhaGFStWYOnSpWYVLr/JC1f4pUvrTp892/igxdTbLA09y0ZXXkq2tsDcucaViSg/K1Hi9f9vvcXHKFDuZVbQs379enTo0AEl1H8JOpQsWRIdO3bE2rVrzSpcTpOVz2HIa1f4pjwbwtSmPkPNX7ryUpowQTPQpDRZsZ8/fAiIsMN0TmXoQsKSmtfsor5PP3pk2f6dE5/Hkx1y64NTzQp6zp8/jwYNGhg1bb169fDPP/+Ys5gcR30Hzyk7u/oP8MqV7C5NWs2KLgG4g5IR+4ATJ4B9+wweMdM39QFpNTL6mvoMHYSVt2zqMm5c7v3h6sKDcebLy9tYve9b+fJpvyl9zHnAXV7cdq6uutdFX7ohV6/mzO1z9arum0dy64NTzQp6EhMTYW9vb9S09vb2SEhIMGcxuYr6TmrqDm/JI74z9em9d+5kGKCkp6tmpQ+W4TaCUKxnU6B2baBpUyAoyGBh09fANGtmeLmGDsJNmuif5/p1w/nmVuYcdDMzn/Ty6lN9c+uJXdfrCtLfhanO0pssMmu/ygrGljujC6r0d1fVqPH6fx8f88qlXptlyV2u6ucV9XKpy401foCZQY+/vz/+/fdfo6b9999/4c/75DKFeoffANxBo9R9mDjgjtk7ofqPJmHyTCAw0KgARV36mpUA3MEP6A9b6OjdbMIvRhnQ6TuQGDoInzihO93GBihZ0qjFk5XlhRcfmnNiyqkM9X1LL7feZAEANXECSdNmoSb0HBTM4OqqO8jI6CJU/VimPH4HIPsjCF03kuiTG19pYVbQ06xZM/z444949OiRwekePXqEH3/8Ec2bNzercGSY8kClrEnZh6a4kRqUFrBYYCL+B/v/jU7rdAGkLWTAAKMDlG7dXv8/HN/BFqJ7QgO/mPTBjTJGOnZMd1YjR+o/CDs46E7v3t20vlPqQaHyasqacspL/bKiFia3XiXmVelraANwB6HQfRI+eTL33WSxciWwHL3wN2ojYNYo/I3a+BkdYXNgH+Ku3DGrdk59G+kKgDPax7//Pu2v+vH7NoLQB9qRknrNizEsCchNDYBz22NVIGa4fv26ODs7S8WKFeXYsWM6pzl27JhUqlRJnJ2d5dq1a+YsJstFRUUJAImKitI5/uFDkbRIIO3/mJjXn2/ceP0/kDbOWOr5mDJ/ZKRIMUWkJEOhMXMqIAlvvyufYrJ8i+Fyf9z3aRNnYMECkVGYLqnpC/P/wwAslFDsldjLhvNSbqcAREoybHTmpRr+/ltnHtu2aU8agEiZ1nqv1MTfEoq9EoBIAURsbAyv3uXLuhd9+bL2tje03dNP+/BhhpvUJObuB/rmN2XeBQtez2djY34+xpRLfdi3z7K8s5q+dbFkX7J0+1rLrFlp5emDparfbTJspA+WaqzXmTMZ55V+/Szdty0RGSlSC39rHdeUn1MVNjIbw2QEvpWa+DvDcj18mPE2ymgfj4wUUSh0HyOTYCMdsU51fANEbG0NH+MM/cZMPWZFRmofA3QNtrYiS5dmnF/68mXW957R+VvJrKBHRGTr1q3i5uYmNjY2UqpUKWnXrp306NFD2rVrJ6VLlxYbGxtxdXWV3377zdxFZLmcFPSoL8tQXqff/MSovT0VCoN7qL4ASn1I+f9xqTY2evNSX5dQ7M24bHrOeukDFfWDjPJgpTzYfP214e2rfkJP/x0x6Mn4IJdZQU9GB/KcSP13qT7Y2GjvZ1kV9Fgrr4cP9Z2EbTVOwMYsJ1ODnshIkXXr0gYjdqC9e0VG4NsMjo+v/56t2tNgfo/P6A5U0l+MGdrH9+7N+BiZPpjSd4FgbMBjyjFL3zFTfThwwLi80pcx1wY9IiI3b96UQYMGSdGiRUWhUKiGgIAAGThwoFy/ft2S7LOcKUEPoBnoZEvQo7xcMHKPTzVQJbJ3r+EfoFbtj55fs/q6ZFjTk8FZr1OnjPNJho0EIFLvNjJ0Qr98WfvHvWCB8d+TMVe8psiuoGevEbGpJQeq2MuRWicDA3FzjqYv6FHuzsZus5wa9Og7BjTGPpP2B2OCnsuXTS/jqwVLVRdfAkgKIK9Gf5G2E+s5luir6TF0rPtxmO4a6JgY/dtI/WJsFKbLmzZ7Zc10/WWyscn4GKkecM6YkfG2zmgwNugxJs/t243LS19+1g5+siToURcdHS137tyR6Ohoa2WZ5UwNeo4cef2/uUGPvp3LqKBnwADj93bloOdy4cwZkYkYa/SBQV9e6ZtJ5lZZKkmw1TgoKA8Mf3Q0XPOknDyjGqP3sF7vNjJ0QtcVLxqKwzI6EFj6I9Z1QjUmT33lslZND5C2f5i1nkuXSur/b+hkQEZhumrb57WgJ/1g6KSu/M4CEClx2/SfsI2hnter2d+LfPml3mbjjNbNGjU9uvZH9f1H/fiQ0T6gfRGl/aNNNSLD0aNFlqOnRo2OoS9vBGbr/EpiYvSXw9QyKY+VffD6GKlrUAac+o5N+prvdQ07dhi/va2xfyv3lcwKetTzvXcvi4OevMDUoEf9RDF1quY4QzUG6ozZyXTuHOpRgZFDikJ/Tc/+Nvr78ugcdPwC9Z08AxApjbFPauJveQ/r5T2slwBEikKh/1ivHqxkdDVkKOgxtn1afdBXjfz11+YfBIyh7FNhyoHB0P5j7D4oknF19q+/mnawiowUObIuUhXwKIdUQEZhhsGDeFYzpaZE13ekbzB0Uo+J0WyyFYVCZPp0s8s/CjO0f7/vvWdSPsrjWx8sldT/r7ZKgq3O/irGnvCM2UbG9lUxqrlcz041ZUra6Jr4W4ZjtszBML3Hu1RAauJvnceBAwfSJpsG47oVGCqTerASgEh5D+u1jnNpv5fpBo9Nuvo/6hsyutgw5bsztlY8Jsb8C7qMZFnQU7lyZZOGkJAQs1Yoq2UU9Oi6WlH/8Rqxn2sxZifTeYAxpk1CbUiBQvopluos072/IyXFhLwEkAftB1laJAFE1q/XvV3Sx3RpV0Pa0UsyFBKASIMHYWPapzP63oxpSbSkyUZfcJZRf6X0V8LqzUjFFJHyaJ1xtQj69kNlnvtWvb7SNzYweA/rdGaqbJLUdxC3NvV101WDqj7e0H5kKIDWl65vf4q9rCeQ19eGYcCRdrovWFIBiWvdTgbiexmI7yV+peE+MOrbJgCR8kW9fVo1PMbs66acOAGRTz7Rv27qv11jalj07VTKYEV9GIXpWv0EUwFZjp56vzdl8GR0WQyUSVewoit4Vda0WaOmx9A+mX57W5JP+qDHnAs6ffTVtmZq0NO4cWMJDQ1VDfXr1xeFQiFVqlTRSFcfcoOMgp6NG03buYw5oKc/QAQgUjpinbyn1ntf5wEmMjKtj066g5wyeEmGQtajnczESBmAhQZPMkeG6z45GRq29tSOVsypVRmkHTuppP+hBCBSpuETVfCTpNbRz1oHYX1BhrEBnSm1F+o/Xn37lkJhuKVCuW7p7yZZjp6qzymAPGg3wGDBdB049d2hYqgvk3pw2FFP0CNIq7LPqpoefUGPvoOnvitYU5tKDR0H4rYZyOz779M66f79t8G+KiJpFywmnXwNXOqbUotlaF/PqEbU2Hx0HU/S9kn9maUoMu5rmP6Y0hj75C38LsMxW2ribwH0B2LqwZO+O12N7f+oazvpq81qarPPakGmvn3SxC6ievNJX6bLl3Xna0zNuK5+ivp+t9euZWHz1uPHj0WhUMiePXuskV22saSmR9dgasezPkjfSU+hOtHo+t28WvC6LVjZeU75I9Z3haarTPqCnhRA5wE1GQo587vuA7EpVwpAxtXb63QUTd866jt4mnJQ0Nc5z5SAbupU407m6j/ed9/Vn5+hKunXfQy0A+D0GRm6g2/lSu1trK9vh6HyqH9fAdBdg6jMx9AVvjWZGvQYOgmbsm8byiutpse4fiGG7pY8/a0Z1at6mqZNPeEB2ic9a+Ujoj/IDECkfI9BWrU0SbDVW5ttrSa39PmMwgyNY3YyFLIO76mOy0mwlYM9tb87Q10BdP3ujm7Qf0Ax9Zib0R1lluaTfjulP7aoD6Y238fEiHz1le68Dh3KwqDnyZMn+SLoMaUTo6GdQtcPUF+/lSQDTQELFugPAEwpU1rzlq6+F9P//8pK80c9r6r+Nhz1dVPfOW1sRKpXN/6Ap2Rq7ZGuvPQd8HTla61mMmOaupR3p1myLxm640bXkGqjO6P0B6aM7uLRV570Qar2/pNWY2SoP5e1qX//O3a8/t/Q71nflbApv3/A8IWPoWdipR9S9HxvaTU9Jlav6lhBc5qmde0D1srHmO2t3ldQ/Rho6a3dhpqU9R271fsqqpdNX7OUoe2k3rFZ2afK0MWYKUGmoWfr/P23ad+bKXe66hss6bOYflAoGPSYLKOgp00bi48tIqL7izR04tLVFGDuFZW+Mv3+bvpaoxl6f9Q//qh/G6Zvy42MTFteZKTuJhRjmjiWLtW+HdiUg6e+H46p7cymViMbWjddfQzM+d5mzTK+psdQRum/G2Pu4jE2MNB1UvjqK/3b2dr0Bav6rhgB3cGKOSf0jE7A32Og0Zk9Wq+dWWSk5kkyBciwf56uJiBTAzp9J09Tj0uGLg7MOcYZ+s0ZewFl6CLMnKYkXXnqKov6MS79xay+izFT90lDvztT8zJ0rDS2giCjJi7TtjeDHpMZCnpMjYIN/QB1HYQN1fQE2kRqHRgM7aAjR6Z1EP77b9M6WH832rhaI0s67KqvuylP9IyMTFsnQx1GTW3zNvWOAmu1nYuIjB9v+b6kflJIf3X4M97T3cSlp8ZA17rpuuJUH6+vr1H79hmvj7Uf7KiPOf3MDG1vU/Iy1Eyi7M9h1FPLkXYh8vtC7cyUxwH1k6Sy75vupmkbvU1AhoLA9IOhk5WxfXr69DF8wWPoGDdtmmnHgIzyM/S9qzO1KclQnuoXc7a2hvM2dHeqqTU9hoJCU/IydKw0pSuIoe/MtO3NoMdkhoKebw0/0FNr0NfvwdCOpXELK9Kakvpgqc4DjL580u/UpgQZppzULemEql77Yyp9nS1NuYVW/cdqyu3Kpt4lYagJp1kz07a1ru8t/UE8/dWhdn8DG539C3RtI315qg/6AjpjLhCyKugxp3bG0PqZ0tl3+HDdZUr/21UPLvV1jB2FGTrvdDR0PFHWsA3AQhmAhRo1bbrWzZTme2tcHGT0cDt9QaaNje7fYka1BhkFrRkdH/XVzhgK8ozJU3ksNLTdDG1vXYHBO++Ytl8rfWLCnfiGyvTDD8bno+84aXpNXyYGPadOndIY9u7dKwqFQhYtWqQ1Tjlklfnz50tQUJA4ODhI7dq15fjx40bPa82aHn2P6M7oIKyrKUBf22n6nV1XDYyxt+Oqs0Y1cGYx50F81gp6THkehqEfsyn70vbt+gMnY/JJvz9Zo7M3kHHQ262b4fmzsqbHnGZgQ32ojM3DlCYJ9f4pCzBQ4665UZhuMIC2VkdW9XX79VfDQb41gh5jjkdLl2oei5QXk+Y+7C79tho+PO13ZMxFmL5j9/btlq2jkrlBj6750j8s19jfrSm1mYbK9MYbpu2TugJ60y9YMjHoUSgUYmNjozHoSlNPzwo///yz2Nvby/Lly+W///6T/v37S8GCBeWhkUfYjPr0mNLx1FB1pGlfpHF9VX780bodQzM6kGb3g+UMBTKmTGtK0GNOU4muwFBfraGuB2wbKpO5tRimdPZWDh07an73xjRLGuq3lFVBj0haM4qpvzd962eN2hBjAjH1GjZjnl6tbP5duFBkyBD9+Rpqmjb0bkFTv7uM9idTHpypXLf16y0/5phy3NBVDl01PbqCQ3OfQWONizrl9LrSZ83KuAy6+lDq6lOpr0zmdAXRV4tpWj6ZGPSEh4ebPGSF2rVry5AhQ1SfU1JSxN/fX6ZOnWrU/Na8e8vQTjp8uOk7RXbUqqhXvZrbFyezZEfQI2Kdh3fpOygo+8gYWyZrd/TUt83SH0BNffK0roNvVgY9hm6Z1TUYWj99x4DLl9MuPCw9BrzxhmY+5lzMGDpZGHpJZPqgRyn992fKd6ev6ccaT+M1h6m/9/R0vavP3FqnjMpn7vFN12/W1O8ufSCnq4+OvjKZ2hXEmL5vxg357DUUCQkJYmtrK5s2bdJI79Gjh7zzzjs653n16pVERUWphsjISIMbzVDQY8q7t6z5BM2sYslJL7PLY8wBRt/0luSTvt1aPQDJKDBMX2vYs6d5ZTKlj4kpwaqhoMfUA3p2Bz3G/N7Ur+DNuSvF1G2kq0zWvI3fmKZvQ+tmraBHfV6z399mRZYGPbqOg9YMenQtJ6P8MiPoMfT7z6hMptT0ZLRfmtLsbuxzemyQRzx58gQpKSnw8fHRSPfx8cGDBw90zjN16lR4eHiohmLFimVFUREQYPy0trbA4sVA0aKZVx5TmVL+vKxt29f/b98OREQAkZHAvn3ArVtA3776512+/PX/Bw4A4eHmlaFbN83PZ868/v/HH4H164G//zauTIa4uLw+vLi4mJdHdilTBliwwPA0Fy8at37WWvf0vyFbW2DJEuv9zgcPTtsX169PG27fNv+7t4T6flO6dNYvPzPlxONgTIx1fqMZ/d5jYvQvo1YtoFMn7XQbG+DrrzXTLl603n7p52fcdHbWWVzu9Pnnn+Pjjz9WfY6Ojs6SwMfFJW2ncXXNeNoLF9IO2pTzKA8M6Rlz4tI3r6mKFNHcl/z9X49r3z73BSiZZfDgtINxnTq6t7s5J7CHDwH1ayxLvtPM+J0XLQp07Gh5Pi4u2uuaW1nrd0eGzZuXFmwDwKpVaftiqVKApyfwv/+9ns6c352tLTB3LjBkiGa6s7Nx8+eZmp7ChQvD1tYWDx8+1Eh/+PAhfH19dc7j4OAAd3d3jcFYDx+mnWzMpQx8MpITryYo58rNNTKZrVYtYP78159tbU3PI7O2L3/nZC59+6Sx5xhjl2FuXi1aAKGh2heDhmqL9C13+/a0GuuePTXzMeX3mGeCHnt7e9SoUQN79uxRpaWmpmLPnj2oW7duNpZMP2vulESUMfWD5cmT2VeO/CivBuTK9crrx3JTvr/0wZe1NGqUFjxZsi/lqeatjz/+GD179kTNmjVRu3ZtzJkzB7Gxsejdu3d2F40oV8nsZoCccNIrXdqydbTWNjLmipcov7L2sShPBT2dO3fG48eP8dVXX+HBgweoWrUqduzYodW5ObM9fGjeQSyvtJsTUe6TWVfneQn7BOV+eSroAYChQ4di6NChWb5cHjCIiPIvBkS5Q54LenIb9R9KbOzr9JxW5Z3bf9C5vfx5RU7br4ko6+SE4zCDHqJcLiccSIgoc+TGC4WcfExi0ENkgqz4MefkAwYR5V65LXjKDHnmlvWswH47REREuRdreszg7JyCxMQkiABBQWlpdnZAfPzraV69Mj3fhITX+SUkmPfwtPzCWtuK2zzz2dpa/tvIa2Wx1n5XoEAB2GbBTssLvqxlrdpeU57+n18oRFiRrhQdHQ0PDw9ERUXpfDqziODBgwd48eIFACA1Ne39NgBQrFjau0UsYe388jJrbStuc8oO1tzvChYsCF9fXygUCovKFBv7+uSYvh+JoXGUs+WX7y6j87cSa3pMoAx4ihQpAmdnZ6SmKlRXjcWLW15LkJICq+aXl1lrW3GbU3awxn4nIoiLi8OjR48AAH7GvnGRKB9j0GOklJQUVcBTqFCh/097Pd7R0TpBjzXzy8usta24zSk7WGu/c3JyAgA8evQIRYoUybSmLnaup7yCQY+RkpKSAADOxr7KlYgoCyiPSUlJSVnSv4dyFwasmtiDwUTWaDdXKNIG9YcREhGZw9JjElF+wpoeIiJijQDlC6zpISIionyBQU8eplAoDA7jx4/HrVu39I4/duwYACA8PBwKhQLly5fXWsaGDRugUChQvHhxVZpyeoVCARsbGxQtWhS9e/dW3WWitHXrVjRu3Bhubm5wdnZGrVq1EB4enpmbhIiI8jEGPdno7t3Mzf/+/fuqYc6cOXB3d9dI++STT1TT7t69W2Pc/fv3UaNGDdV4FxcXPHr0CEePHtVYxrJlyxAYGKi1bOWy7ty5gyVLluCPP/7ABx98oBo/b948tG3bFvXr18fx48fxzz//4P3338egQYM0ykVERGQt7NOTxVaufP1/+fLADz8AfftmzrJ8fX1V/3t4eEChUGikAcCTJ08AAIUKFdIap87Ozg5du3bF8uXLUbduXQDAnTt3sH//fowcORJr167VmF59Wf7+/vjoo4/w5ZdfIj4+Hk+ePMGoUaMwYsQITJkyRTXPqFGjYG9vj48++ggdO3ZEnTp19JbH1haoWdPIDUFERATW9GSpO3eAYcNef05NBQYOTEvPDfr06YP169cjLi4OQFozVqtWreDj45PhvE5OTkhNTUVycjJ++eUXJCUl6azRGThwIFxdXbWCKCIiIksx6MlCV6+mBTrqUlKAa9fS/lfWXtSsmfUPyatXrx5cXV01hvSqVauGEiVK4JdffoGIIDw8HH369Mkw76tXr2LRokWoWbMm3NzccOXKFXh4eOh8gqy9vT1KlCiBK1euWGW9iHKi7PytE+VnbN7KQqVLp71jRz3wsbUFSpXKvjIprVu3TmdH5fT69OmDFStWIDAwELGxsXjrrbcwf/58remioqLg6uqK1NRUvHr1Cg0aNMDSpUszo+hERERGYdCThYoWBebNA4YMSftsawssXpyWnt2KFSuGUkZEX926dcOnn36K8ePH44MPPoCdne5dyM3NDadPn4aNjQ38/PxUj8sHgDJlyiAqKgr37t2Dv7+/xnyJiYm4fv06mjRpYtkKERERpcPmrSzWs+fr/y9cyLxOzJnFy8sL77zzDg4cOGCwacvGxgalSpVCiRIlNAIeAOjQoQMKFCiAb7/9Vmu+RYsWITY2Fl26dLF62YmIKH9jTU82CgjI7hK89vTpUzx48EAjrWDBgnB0dNSaNjw8HN9//73qxaumCgwMxPTp0zFq1Cg4Ojrigw8+QIECBbBlyxZ88cUXGDVqlME7t4iIiMzBoIcAAM2aNdNKW7t2Ld5//32tdCcnJ63aG1ONGDECJUqUwMyZM/Hdd98hJSUFFStWxMKFC9G7d2+L8jYFb30nIso/FCJ824pSdHQ0PDw8EBUVBXd3d41xr169ws2bNxEcHKyq/UhJAc6cSRtfrZpxd2HExgLKG6NiYtLed0NEZC5dxyai/MbQ+Vsda3qyGF/qR0RElD3YkZmIiIjyBQY9RERElC8w6CEiIqJ8gUEPERER5QsMeoiIiChfYNBDRERE+QKDnqwWGwsoFGlDbGx2l4aIiCjfYNBDmaJXr1549913s7sYOV54eDgKFixo9Xxv3boFhUKBs2fPWj3v/EyhUGDz5s3ZXQwiMhODnjyuV69eUCgUUCgUsLe3R6lSpTBx4kQkJydnd9HyneLFi2POnDnZXQyj7d+/HwqFAi9evNA7jfr+pWsoXrw4ACA0NFTn+EGDBqnyUqYdO3ZMYxkJCQkoVKgQFAoF9u/frzW9QqGAh4cH6tevj71792rMGxkZiT59+sDf3x/29vYICgrC8OHD8fTpU4PrPn78eFStWlUr/f79+2jdurXBeYko52LQkw+0atUK9+/fx9WrVzFq1CiMHz8eM2bMyO5iGSQiDMxyge+++w73799XDQCwYsUK1ecTJ06opu3fv7/GtPfv38f06dM18itWrBhWrFihkbZp0ya4Kt/dko5yWUeOHEHhwoXRpk0b3LhxAwBw48YN1KxZE1evXsXatWtx7do1LFq0CHv27EHdunXx7Nkzk9fX19cXDg4OJs9HRDkDg57sdPdulizGwcEBvr6+CAoKwocffohmzZrht99+AwDMmjULlStXhouLC4oVK4bBgwcjJiZGNa+y+WXnzp0oX748XF1dVUGUUkpKCj7++GMULFgQhQoVwqeffor0r3RLSEjARx99hCJFisDR0RENGjTQOCEqaxX++OMP1KhRAw4ODjh8+DCuX7+Otm3bwsfHB66urqhVqxZ2795tcH3PnTuHJk2awM3NDe7u7qhRowZOnjypsT5bt25F2bJl4ezsjPfeew9xcXFYuXIlihcvDk9PT3z00UdISUlR5fn8+XP06NEDnp6ecHZ2RuvWrXH16lWN5W7cuBEVK1aEg4MDihcvjm+//VY1LjQ0FLdv38bIkSNVtRPqDG1fAFi6dCnKly8PR0dHlCtXDt9//73G+L///hvVqlWDo6MjatasiTPKl8IZsGrVKtSsWRNubm7w9fVF165d8ejRIwBpzWNNmjQBAHh6ekKhUKBXr15aeXh4eMDX11c1AEDBggVVn729vVXTOjs7a0zr6+ur9Y6cnj174ueff0Z8fLwqbfny5ejZs6fOdVAuq1KlSli4cCHi4+Oxa9cuAMCQIUNgb2+PP//8E40bN0ZgYCBat26N3bt34+7duxg7dqzOPMPDwzFhwgScO3dO9V2Fh4cD0GzeUjYhrl+/Hg0bNoSTkxNq1aqFK1eu4MSJE6hZsyZcXV3RunVrPH78WGMZhr7PxMREDB06FH5+fnB0dERQUBCmTp2qs6xEZCIhlaioKAEgUVFRWuPi4+PlwoULEh8fr0pLThY5cSJtSE42ciELFoikvX5LxMZGZOlSK5Vet549e0rbtm010t555x2pXr26iIjMnj1b9u7dKzdv3pQ9e/ZI2bJl5cMPP1RNu2LFCilQoIA0a9ZMTpw4IadOnZLy5ctL165dVdNMmzZNPD09ZePGjXLhwgXp27evuLm5aSz3o48+En9/f9m+fbv8999/0rNnT/H09JSnT5+KiMi+ffsEgISEhMiff/4p165dk6dPn8rZs2dl0aJFcv78ebly5Yr873//E0dHR7l9+7beda5YsaJ0795dLl68KFeuXJH169fL2bNnNdanefPmcvr0aTlw4IAUKlRIWrRoIZ06dZL//vtPfv/9d7G3t5eff/5ZY5uVL19eDh48KGfPnpWWLVtKqVKlJDExUURETp48KTY2NjJx4kS5fPmyrFixQpycnGTFihUiIvL06VMpWrSoTJw4Ue7fvy/37983evv+9NNP4ufnJxs3bpQbN27Ixo0bxcvLS8LDw0VE5OXLl+Lt7S1du3aVf//9V37//XcpUaKEAJAzZ87o3U7Lli2T7du3y/Xr1+Xo0aNSt25dad26tYiIJCcny8aNGwWAXL58We7fvy8vXrzQm5cSANm0aZNWeuPGjWX48OFGzRsSEiKrVq0SEZHbt2+Lg4ODXLlyRQDIvn379C7r2bNnAkDmzp0rT58+FYVCIVOmTNG5rP79+4unp6ekpqZqjYuLi5NRo0ZJxYoVVd9VXFyc1jJv3rwpAKRcuXKyY8cOuXDhgrzxxhtSo0YNCQ0NlcOHD8vp06elVKlSMmjQIFX+GX2fM2bMkGLFisnBgwfl1q1bcujQIVmzZo3e7abr2ESU3xg6f6tj0KMm04OeyMi0QEcZ9AAitrZp6ZlEPehJTU2VXbt2iYODg3zyySc6p9+wYYMUKlRI9XnFihUCQK5du6ZKW7Bggfj4+Kg++/n5yfTp01Wfk5KSpGjRoqrlxsTESIECBWT16tWqaRITE8Xf3181nzLo2bx5c4brVLFiRZk3b57e8W5ubqoTSHq61mfgwIHi7OwsL1++VKW1bNlSBg4cKCKiOuEeOXJENf7Jkyfi5OQk69evFxGRrl27SvPmzTWWNXr0aKlQoYLqc1BQkMyePTvD8qTfviVLltQ66U2aNEnq1q0rIiKLFy+WQoUKaeybCxcuzDDoSe/EiRMCQLUdlN/J8+fPjc7DUNBToEABcXFx0Rh++uknrXnnzJkjTZo0ERGRCRMmSLt27eT58+cGg57Y2FgZPHiw2Nrayrlz5+TYsWN6yyIiMmvWLAEgDx8+1Dl+3LhxUqVKFYPrpwx6lqpduKxdu1YAyJ49e1RpU6dOlbJly6o+Z/R9Dhs2TJo2baozINOFQQ+R8UEP37Kela5eBVJTNdNSUoBr14CiRTNtsVu3boWrqyuSkpKQmpqKrl27Yvz48QCA3bt3Y+rUqbh06RKio6ORnJyMV69eIS4uDs7OzgDSmiVKliypys/Pz0/VDBIVFYX79++jTp06qvF2dnaoWbOmqonr+vXrSEpKQv369VXTFChQALVr18bFixc1ylqzZk2NzzExMRg/fjy2bduG+/fvIzk5GfHx8YiIiNC7vh9//DH69euHVatWoVmzZujYsaNG+dOvj4+PD4oXL67Rb8THx0e1jhcvXoSdnZ3GOhYqVAhly5ZVlf/ixYto27atRjnq16+POXPmICUlBba2tnrLa2j7xsbG4vr16+jbty/69++vmiY5ORkeHh6qZYeEhMDR0VE1vm7dunqXp3Tq1CmMHz8e586dw/Pnz5H6//tmREQEKlSokOH8purWrZtWk5KPj4/WdN27d8eYMWNw48YNhIeHY+7cuXrz7NKlC2xtbREfHw9vb28sW7YMISEhOH78OABoNbNmhpCQENX/yvWpXLmyRpop32evXr3QvHlzlC1bFq1atUKbNm3QokWLTF8PovyAQU9WKl0asLHRDHxsbYFSpTJ1sU2aNMHChQthb28Pf39/2Nmlfe23bt1CmzZt8OGHH2Ly5Mnw8vLC4cOH0bdvXyQmJqqCngIFCmjkp1AoMu1k4uLiovH5k08+wa5duzBz5kyUKlUKTk5OeO+995CYmKg3j/Hjx6Nr167Ytm0b/vjjD4wbNw4///wz2rVrB0D3+uhKS00foGYSQ9tX2b9qyZIlGkEXAIOBVEZiY2PRsmVLtGzZEqtXr4a3tzciIiLQsmVLg9vWEh4eHihlxL5eqFAhtGnTBn379sWrV6/QunVrvHz5Uue0s2fPRrNmzeDh4aHRf6hUqVJQKBS4ePGi6ntXd/HiRXh6emrMYy7170/ZVyt9mnJfMub7rF69Om7evIk//vgDu3fvRqdOndCsWTP88ssvFpeVKL9jR+asVLQoMG/e68+2tsDixZlaywOkBRKlSpVCYGCgKuAB0q70U1NT8e233+KNN95AmTJlcO/ePZPy9vDwgJ+fn+rKGki7aj116pTqc8mSJWFvb48jR46o0pKSknDixIkMaxSOHDmCXr16oV27dqhcuTJ8fX1x69atDMtVpkwZjBw5En/++Sfat2+vdUeQKcqXL4/k5GSNdXz69CkuX76sKn/58uU11k9Z9jJlyqhOZvb29hqdo43h4+MDf39/3LhxA6VKldIYgoODVcv+559/8OrVK9V86W/7Tu/SpUt4+vQpvvnmGzRs2BDlypVT1UYo2dvbA4DJZbaGPn36YP/+/ejRo4fB4M7X1xelSpXSCl4KFSqE5s2b4/vvv9foFA0ADx48wOrVq9G5c2etDuVK5nxXxjDm+wQAd3d3dO7cGUuWLMG6deuwceNGs+42IyJNeSbomTx5MurVqwdnZ+dMedib1ajfhXLhAtC3b7YVpVSpUkhKSsK8efNw48YNrFq1CosWLTI5n+HDh+Obb77B5s2bcenSJQwePFjj2S4uLi748MMPMXr0aOzYsQMXLlxA//79ERcXh74ZrH/p0qXx66+/4uzZszh37hy6du1qsAYmPj4eQ4cOxf79+3H79m0cOXIEJ06cQPny5U1eL/UytG3bFv3798fhw4dx7tw5dO/eHQEBAaomrVGjRmHPnj2YNGkSrly5gpUrV2L+/Pn45JNPVPkUL14cBw8exN27d/HkyROjlz9hwgRMnToVc+fOxZUrV3D+/HmsWLECs2bNAgB07doVCoUC/fv3x4ULF7B9+3bMnDnTYJ6BgYGwt7dXffe//fYbJk2apDFNUFAQFAoFtm7disePH2vc1WeOuLg4PHjwQGN4/vy5zmlbtWqFx48fY+LEiWYvb/78+UhISEDLli1x8OBBREZGYseOHWjevDkCAgIwefJkvfMWL14cN2/exNmzZ/HkyRMkJCSYXY70Mvo+Z82ahbVr1+LSpUu4cuUKNmzYAF9f35x9XCPKJfJM0JOYmIiOHTviww8/zLJl2toCNWumDWa1NAQEWL1MpqhSpQpmzZqFadOmoVKlSli9erVZt8aOGjUKH3zwAXr27Im6devCzc1Nq0nhm2++QYcOHfDBBx+gevXquHbtGnbu3AlPT0+Dec+aNQuenp6oV68e3n77bbRs2RLVq1fXO72trS2ePn2KHj16oEyZMujUqRNat26NCRMmmLxe6lasWIEaNWqgTZs2qFu3LkQE27dvVzVjVK9eHevXr8fPP/+MSpUq4auvvsLEiRM1bvOeOHEibt26hZIlS5rUrNKvXz8sXboUK1asQOXKldG4cWOEh4eragZcXV3x+++/4/z586hWrRrGjh2LadOmGczT29sb4eHh2LBhAypUqIBvvvlGK1AKCAjAhAkTMGbMGPj4+GDo0KFGl1mXJUuWwM/PT2Po0qWLzmkVCgUKFy6sqm0yR+nSpXHy5EmUKFECnTp1QsmSJTFgwAA0adIER48ehZeXl955O3TogFatWqFJkybw9vbG2rVrzS5Hehl9n25ubpg+fTpq1qyJWrVq4datW9i+fTtsbPLM4Zoo2ygkK3r6ZaHw8HCMGDHC4FNk9YmOjoaHhweioqK0nh/y6tUr3Lx5E8HBwRodRk0WGwsoO8zGxADp+rAQEZnCascmolzM0PlbXb7uyJyQkKBRbR0dHZ2NpSEiIqLMlK/rS6dOnQoPDw/VUKxYscxfqIvL66f0sJaHiIgoy+TooGfMmDEGX2aoUChw6dIls/P//PPPERUVpRoiIyOtWHoiIiLKSXJ089aoUaN0vu9HXYkSJczO38HBgS8PJCIiyidydNDj7e1tlYeHEREREeXooMcUERERePbsGSIiIpCSkoKzZ88CSHsWjfrrBSyVx252I6JcjsckIuPlmaDnq6++wsqVK1Wfq1WrBgDYt28fQkNDLc5f+TyWuLg4ODk5WZwfEZE1xMXFAdB+nQkRactzz+mxREb3+d+/fx8vXrxAkSJF4OzsrPcR9kREmU1EEBcXh0ePHqFgwYLw8/PL7iIRZRs+pycT+Pr6AoDWO4qIiLJLwYIFVccmIjKMQY8JFAoF/Pz8UKRIESQlJWV3cYgonytQoIDBF7ISkSYGPWawtbXlgYaIiCiXydEPJyQiIiKyFgY9RERElC8w6CEiIqJ8gX161Cjv3ufb1omIiHIP5Xk7o6fwMOhR8/TpUwDImretExERkVW9fPkSHh4eescz6FHj5eUFIO2VFoY2GllHdHQ0ihUrhsjISIMPkyLr4PbOOtzWWYvbO2vlxO0tInj58iX8/f0NTsegR42NTVoXJw8PjxzzReYH7u7u3N5ZiNs763BbZy1u76yV07a3MZUV7MhMRERE+QKDHiIiIsoXGPSocXBwwLhx4+Dg4JDdRckXuL2zFrd31uG2zlrc3lkrN29vvmWdiIiI8gXW9BAREVG+wKCHiIiI8gUGPURERJQvMOghIiKifIFBz/9bsGABihcvDkdHR9SpUwd///13dhcpTxo/fjwUCoXGUK5cuewuVp5x8OBBvP322/D394dCocDmzZs1xosIvvrqK/j5+cHJyQnNmjXD1atXs6eweUBG27tXr15a+3urVq2yp7B5wNSpU1GrVi24ubmhSJEiePfdd3H58mWNaV69eoUhQ4agUKFCcHV1RYcOHfDw4cNsKnHuZcy2Dg0N1dq/Bw0alE0lNg6DHgDr1q3Dxx9/jHHjxuH06dOoUqUKWrZsiUePHmV30fKkihUr4v79+6rh8OHD2V2kPCM2NhZVqlTBggULdI6fPn065s6di0WLFuH48eNwcXFBy5Yt8erVqywuad6Q0fYGgFatWmns72vXrs3CEuYtBw4cwJAhQ3Ds2DHs2rULSUlJaNGiBWJjY1XTjBw5Er///js2bNiAAwcO4N69e2jfvn02ljp3MmZbA0D//v019u/p06dnU4mNJCS1a9eWIUOGqD6npKSIv7+/TJ06NRtLlTeNGzdOqlSpkt3FyBcAyKZNm1SfU1NTxdfXV2bMmKFKe/HihTg4OMjatWuzoYR5S/rtLSLSs2dPadu2bbaUJz949OiRAJADBw6ISNr+XKBAAdmwYYNqmosXLwoAOXr0aHYVM09Iv61FRBo3bizDhw/PvkKZId/X9CQmJuLUqVNo1qyZKs3GxgbNmjXD0aNHs7FkedfVq1fh7++PEiVKoFu3boiIiMjuIuULN2/exIMHDzT2dQ8PD9SpU4f7eibav38/ihQpgrJly+LDDz/E06dPs7tIeUZUVBSA1y+LPnXqFJKSkjT28XLlyiEwMJD7uIXSb2ul1atXo3DhwqhUqRI+//xzxMXFZUfxjJbvXzj65MkTpKSkwMfHRyPdx8cHly5dyqZS5V116tRBeHg4ypYti/v372PChAlo2LAh/v33X7i5uWV38fK0Bw8eAIDOfV05jqyrVatWaN++PYKDg3H9+nV88cUXaN26NY4ePQpbW9vsLl6ulpqaihEjRqB+/fqoVKkSgLR93N7eHgULFtSYlvu4ZXRtawDo2rUrgoKC4O/vj3/++QefffYZLl++jF9//TUbS2tYvg96KGu1bt1a9X9ISAjq1KmDoKAgrF+/Hn379s3GkhFZ3/vvv6/6v3LlyggJCUHJkiWxf/9+vPnmm9lYstxvyJAh+Pfff9knMAvo29YDBgxQ/V+5cmX4+fnhzTffxPXr11GyZMmsLqZR8n3zVuHChWFra6vVu//hw4fw9fXNplLlHwULFkSZMmVw7dq17C5Knqfcn7mvZ58SJUqgcOHC3N8tNHToUGzduhX79u1D0aJFVem+vr5ITEzEixcvNKbnPm4+fdtalzp16gBAjt6/833QY29vjxo1amDPnj2qtNTUVOzZswd169bNxpLlDzExMbh+/Tr8/Pyyuyh5XnBwMHx9fTX29ejoaBw/fpz7eha5c+cOnj59yv3dTCKCoUOHYtOmTdi7dy+Cg4M1xteoUQMFChTQ2McvX76MiIgI7uMmymhb63L27FkAyNH7N5u3AHz88cfo2bMnatasidq1a2POnDmIjY1F7969s7toec4nn3yCt99+G0FBQbh37x7GjRsHW1tbdOnSJbuLlifExMRoXGXdvHkTZ8+ehZeXFwIDAzFixAh8/fXXKF26NIKDg/Hll1/C398f7777bvYVOhcztL29vLwwYcIEdOjQAb6+vrh+/To+/fRTlCpVCi1btszGUudeQ4YMwZo1a7Blyxa4ubmp+ul4eHjAyckJHh4e6Nu3Lz7++GN4eXnB3d0dw4YNQ926dfHGG29kc+lzl4y29fXr17FmzRq89dZbKFSoEP755x+MHDkSjRo1QkhISDaX3oDsvn0sp5g3b54EBgaKvb291K5dW44dO5bdRcqTOnfuLH5+fmJvby8BAQHSuXNnuXbtWnYXK8/Yt2+fANAaevbsKSJpt61/+eWX4uPjIw4ODvLmm2/K5cuXs7fQuZih7R0XFyctWrQQb29vKVCggAQFBUn//v3lwYMH2V3sXEvXtgYgK1asUE0THx8vgwcPFk9PT3F2dpZ27drJ/fv3s6/QuVRG2zoiIkIaNWokXl5e4uDgIKVKlZLRo0dLVFRU9hY8AwoRkawMsoiIiIiyQ77v00NERET5A4MeIiIiyhcY9BAREVG+wKCHiIiI8gUGPURERJQvMOghIiKifIFBDxEREeULDHqIrCA8PBwKhQK3bt3K8mXv2LEDVatWhaOjIxQKhdZ7h3KSXr16wdXVNVuWvX//figUCuzfvz9Tl9OrVy8UL148U5dhDatWrUK5cuVQoEABrbeSE+VVDHooW9y8eRNDhw5FmTJl4OzsDGdnZ1SoUAFDhgzBP//8ozHt+PHjoVAoYGNjg8jISK28oqOj4eTkBIVCgaFDhwIAQkNDoVAoMhzGjx+fFaubaZ4+fYpOnTrByckJCxYswKpVq+Di4pLdxaIc7tKlS+jVqxdKliyJJUuW4IcfftA77Z49e9CnTx/Vb7VEiRLo168f7t+/r3P6v/76Cw0aNICzszN8fX3x0UcfISYmRmOaEydOYOjQoahYsSJcXFwQGBiITp064cqVKwbLnZSUhAoVKkChUGDmzJla41NTUzF9+nQEBwfD0dERISEhWLt2rdZ0ho4JzZs315h28uTJeOedd+Dj42PwmPHrr7+ic+fOKFGiBJydnVG2bFmMGjUqR1+E5Ed89xZlua1bt6Jz586ws7NDt27dUKVKFdjY2ODSpUv49ddfsXDhQty8eRNBQUEa8zk4OGDt2rX49NNPNdJ//fVXrWWMHTsW/fr1U30+ceIE5s6diy+++ALly5dXpefod8QY4cSJE3j58iUmTZqEZs2aZXdxcrRGjRohPj4e9vb2mbqcJUuWIDU1NVOXYan9+/cjNTUV3333HUqVKmVw2s8++wzPnj1Dx44dUbp0ady4cQPz58/H1q1bcfbsWY23l589exZvvvkmypcvj1mzZuHOnTuYOXMmrl69ij/++EM13bRp03DkyBF07NgRISEhePDgAebPn4/q1avj2LFjqFSpks6yzJs3DxEREXrLOnbsWHzzzTfo378/atWqhS1btqBr165QKBR4//33VdOtWrVKa96TJ0/iu+++Q4sWLTTS//e//8HX1xfVqlXDzp079S57wIAB8Pf3R/fu3REYGIjz589j/vz52L59O06fPg0nJye981IWyu73YFD+cu3aNXFxcZHy5cvLvXv3tMYnJSXJd999JxEREaq0cePGCQBp3769VK1aVWue5s2bS4cOHQSADBkyROdyN2zYIABk3759VlsXdStWrBAAcvPmzUzJX5+VK1cKADlx4kSG08bGxmZBiQzr2bOnuLi4ZHcx8r0JEyYIAHn8+HGG0x44cEBSUlK00gDI2LFjNdJbt24tfn5+Gu9fWrJkiQCQnTt3qtKOHDkiCQkJGvNeuXJFHBwcpFu3bjrL8fDhQ/Hw8JCJEycKAJkxY4bG+Dt37kiBAgU0jgGpqanSsGFDKVq0qCQnJxtcz759+4pCoZDIyEiNdOVv+vHjxwJAxo0bp3N+XccW5e9zyZIlBpdNWYfNW5Slpk+fjtjYWKxYsQJ+fn5a4+3s7PDRRx+hWLFiWuO6du2Ks2fP4tKlS6q0Bw8eYO/evejatWumllvdf//9h6ZNm8LJyQlFixbF119/rfPKfsuWLQgLC4O/vz8cHBxQsmRJTJo0CSkpKappxo0bhwIFCuDx48da8w8YMAAFCxbEq1evdJYjNDQUPXv2BADUqlULCoUCvXr1Uo2rVKkSTp06hUaNGsHZ2RlffPEFAODRo0fo27cvfHx84OjoiCpVqmDlypUaed+6dUvVhLBgwQJVlX2LFi0QGRkJEcGkSZNQtGhRODk5oW3btnj27JnR2/DGjRto2bIlXFxc4O/vj4kTJ0LSvQYwNTUVc+bMQcWKFeHo6AgfHx8MHDgQz58/15pu/Pjx8Pf3h7OzM5o0aYILFy6gePHiqu0B6O7To9xOFy5cQJMmTeDs7IyAgABMnz5dYxnKedevX4/JkyejaNGicHR0xJtvvqnxlnVAu0+P+rb84YcfULJkSTg4OKBWrVo4ceKE1rbZsGEDKlSoAEdHR1SqVAmbNm0yqZ/Q999/j4oVK8LBwQH+/v4YMmSIRhNL8eLFMW7cOACAt7d3hs28jRo1go2NjVaal5cXLl68qEqLjo7Grl270L17d7i7u6vSe/ToAVdXV6xfv16VVq9ePa0at9KlS6NixYoaeaobM2YMypYti+7du+scv2XLFiQlJWHw4MGqNIVCgQ8//BB37tzB0aNH9a5jQkICNm7ciMaNG6No0aIa44zd7qGhoVpp7dq1AwC960RZj81blKW2bt2KUqVKoU6dOibP26hRIxQtWhRr1qzBxIkTAQDr1q2Dq6srwsLCrF1UnR48eIAmTZogOTkZY8aMgYuLC3744QedVdfh4eFwdXXFxx9/DFdXV+zduxdfffUVoqOjMWPGDADABx98gIkTJ2LdunWq/kgAkJiYiF9++QUdOnSAo6OjzrKMHTsWZcuWxQ8//ICJEyciODgYJUuWVI1/+vQpWrdujffffx/du3eHj48P4uPjERoaimvXrmHo0KEIDg7Ghg0b0KtXL7x48QLDhw/XWMbq1auRmJiIYcOG4dmzZ5g+fTo6deqEpk2bYv/+/fjss89w7do1zJs3D5988gmWL1+e4TZMSUlBq1at8MYbb2D69OnYsWMHxo0bh+TkZNX3CgADBw5EeHg4evfujY8++gg3b97E/PnzcebMGRw5cgQFChQAAHz++eeYPn063n77bbRs2RLnzp1Dy5Yt9QaL6T1//hytWrVC+/bt0alTJ/zyyy/47LPPULlyZbRu3Vpj2m+++QY2Njb45JNPEBUVhenTp6Nbt244fvx4hstZs2YNXr58iYEDB0KhUGD69Olo3749bty4oVqXbdu2oXPnzqhcuTKmTp2K58+fo2/fvggICDBqXcaPH48JEyagWbNm+PDDD3H58mUsXLgQJ06cUG2zOXPm4Mcff8SmTZuwcOFCuLq6mtzMGxMTg5iYGBQuXFiVdv78eSQnJ6NmzZoa09rb26Nq1ao4c+aMwTxFBA8fPkTFihW1xv39999YuXIlDh8+DIVCoXP+M2fOwMXFRaP5GgBq166tGt+gQQOd827fvh0vXrxAt27dDJbRVA8ePAAAje1E2Syba5ooH4mKihIA8u6772qNe/78uTx+/Fg1xMXFqcYpm7ceP34sn3zyiZQqVUo1rlatWtK7d28RkSxp3hoxYoQAkOPHj6vSHj16JB4eHlrNW+rroDRw4EBxdnaWV69eqdLq1q0rderU0Zju119/Naq8yma19M1bjRs3FgCyaNEijfQ5c+YIAPnpp59UaYmJiVK3bl1xdXWV6OhoEUmr0gcg3t7e8uLFC9W0n3/+uQCQKlWqSFJSkiq9S5cuYm9vr7FeuvTs2VMAyLBhw1RpqampEhYWJvb29qrmlkOHDgkAWb16tcb8O3bs0Eh/8OCB2NnZae1T48ePFwDSs2dPVdq+ffu0tqlyO/3444+qtISEBPH19ZUOHTpozVu+fHmNZpnvvvtOAMj58+c11jEoKEj1WbktCxUqJM+ePVOlb9myRQDI77//rkqrXLmyFC1aVF6+fKlK279/vwDQyFOXR48eib29vbRo0UKjOWr+/PkCQJYvX65KU/9NmWPSpEkCQPbs2aNKU/7GDh48qDV9x44dxdfX12Ceq1atEgCybNkyjfTU1FSpXbu2dOnSRUReb8/0zVthYWFSokQJrXxjY2MFgIwZM0bvsjt06CAODg7y/PlzvdNk1LylS9++fcXW1lauXLli9DyUudi8RVkmOjoaAHTeshwaGgpvb2/VsGDBAp15dO3aFdeuXcOJEydUf7OyaWv79u144403VFePQFoTga4rRPXan5cvX+LJkydo2LAh4uLiNJroevTogePHj+P69euqtNWrV6NYsWJo3Lix2WV1cHBA7969tcrv6+uLLl26qNIKFCigusPmwIEDGtN37NgRHh4eqs/KGrru3bvDzs5OIz0xMRF37941qmzqtVrKu+4SExOxe/duAGlNPB4eHmjevDmePHmiGmrUqAFXV1fs27cPQNqdRcnJyRpNGgAwbNgwo8oBpO2P6k0m9vb2qF27Nm7cuKE1be/evTWaZRo2bAgAOqdNr3PnzvD09NQ7771793D+/HlVc5BS48aNUbly5Qzz3717NxITEzFixAiN5qj+/fvD3d0d27ZtyzAPYxw8eBATJkxQ1fgpxcfHA0jb79JzdHRUjdfl0qVLGDJkCOrWratqslUKDw/H+fPnMW3aNIPlio+P17ts9fKlFx0djW3btuGtt96y6q37a9aswbJlyzBq1CiULl3aavmSZRj0UJZxc3MDAK3bVwFg8eLF2LVrF3766SeDeVSrVg3lypXDmjVrsHr1avj6+moceDPb7du3dR7AypYtq5X233//oV27dvDw8IC7uzu8vb1VJ9eoqCjVdJ07d4aDgwNWr16tGrd161Z069ZNb1W+MQICArT6TSjLn76PhrJJ4Pbt2xrpgYGBGp+VAVD6PlfK9PT9bXSxsbFBiRIlNNLKlCkDAKrnHF29ehVRUVEoUqSIRjDs7e2NmJgYPHr0SKO86e9A8vLy0ggwDClatKjWdvb09NS5Lum3h3IZxqx3RvPqWxd9aekp50+/L9rb26NEiRJa3605Ll26hHbt2qFSpUpYunSpxjhlkJ+QkKA136tXr/TevfTgwQOEhYXBw8MDv/zyC2xtbVXjoqOj8fnnn2P06NE6+/mlX76+ZauXL72NGzfi1av/a+/eQ5r8wjiAf61mm85Ecq1mMIdFoy0yo5v+McixpnmJrOxeFphRZBQsKirKS0UJViMvP6RoaYWCYWVJf6hMKaxkq0hTuxcqYmk38np+f8iGu5mluWzPBwbubO/7nvdlc2fnPM+zH8O6tKXX67F161YsWbIEKSkpw7ZfMnQU00NGjLe3N6ZMmYKnT5/aPGaaQRhMcb+1a9ciIyMDXl5eiI2NtfkA/xu0tbVBoVBgwoQJOHbsGAICAsDlclFdXY19+/ZZBD77+PggIiICubm5OHz4MAoKCtDR0eEwYHOwhiNFtv8H0GDamVUw8u/q7e3FpEmTzANBawKBYFiOA/zauQzlvP/0NfvT3r17B5VKBW9vbxQXF5u/xJiYEhPs1e9pbGyESCSyaW9vb0dYWBja2tqg1+ttnnP69Gl0dnYiNjbW/L/h/fv3APoGi69fv4ZIJIK7uzumTJmC0tJSMMYsBrGm/tg7PtA3q+rt7Y2IiIhBXomBGY1GREVFQS6Xo6CgwGJGlDjf3/dpQf5pS5cuRUNDA6qqqn57H2vXrkVjYyPq6upGdGkLAMRiMerr623anz9/bnG/rKwMra2tuHjxIhITExEREQGlUulw9mHjxo2oq6vDgwcPkJubizlz5tgN6Byu/ltnm5mW26xrI/0Jvb29NstBpqJ0pkyZgIAAtLa2IiQkBEql0uY2e/Zsi/5aZ1C1trYOavblb+LoXBy1Odre+rXY2dlpt+7Vr2htbYVKpUJHRwdKSkrsZl7K5XKMGzcODx8+tDm+wWBAYGCgRfuPHz8QGRmJuro63Lx5EzNnzrTZ59u3b/Hp0yfIZDJIJBJIJBLzsmBqaiokEgmePXsGAAgMDMT3799tMqVMQebWxwf6BkSlpaWIiYmxuzT2q168eAG1Wo1JkyahuLjYadXHiWM06CEjSqPRwMPDA1u2bEFzc7PN44P51hsQEID09HQcP37cIrZmJISHh+P+/fsWg7aWlhabGQnTt/r+59PZ2Ynz58/b3W9YWBh8fX1x8uRJlJeXD3mWx5Hw8HA0NTXh2rVr5rbu7m6cO3cOfD5/SDFEv0Kr1Zr/ZoxBq9WCw+EgNDQUALBq1Sr09PQgKSnJZtvu7m5zCnZoaCjGjRuHjIwMh/sfLUQiEeRyOS5dumSxBFxeXo4nT578dHulUgl3d3ecPXvW4nWXk5OD9vb2385w/PbtG8LDw/HhwwcUFxc7jE/x9vaGUqnE5cuX8eXLF3O7TqfD169fsXLlSnNbT08PYmNjce/ePeTn52PRokV297lr1y4UFhZa3LKysgD0lQYoLCyERCIBAERHR4PD4Vi8xxhjyMzMhJ+fH4KDg232f/XqVfT29g7L0lZTUxNUKhXGjBmDkpKSYZ2NJMOH5t3IiJo+fTry8vKwZs0azJgxw1yRmTGGV69eIS8vD2PGjLGplWHNOrV6qEypvqWlpXbrbZhoNBrodDqo1WokJiaaU9bFYrHFz2cEBwfDx8cHmzZtwq5du+Dm5gadTudwUMfhcLB69WpotVqMHTvWItB4OMXHxyMrKwubN2/Go0eP4O/vj4KCAlRWViI9Pd1myeJP4HK5uHPnDjZt2oQFCxbg9u3buHXrFg4cOGD+oFAoFNi2bRuOHz8Og8EAlUoFDoeD+vp65Ofn48yZM1ixYgWEQiESExORlpaGqKgoqNVqGI1G3L59G76+vkOKiXKG1NRUREdHIyQkBHFxcfj06RO0Wi3kcrndWLj+BAIB9u/fj6NHj0KtViMqKgrPnz/H+fPnMW/evN8eSK9btw5VVVXYsmULampqLGZS+Hw+li1bZr6fkpKC4OBgKBQKxMfH4/3790hLS4NKpYJarTY/b+/evSgqKkJkZCQ+fvxoE8tn6mtQUBCCgoIsHjMtc8lkMotjT506Fbt378apU6fQ1dWFefPm4fr169Dr9cjNzbW7vJibmwuRSDTge16n0+HNmzf4/v07gL5A7uTkZAB9JSdMM2hqtRovX76ERqNBRUUFKioqzPsQCoU2P29BnMQ5SWPE1TU0NLDt27ezadOmMS6Xy3g8HpNKpSwhIYEZDAaL5w42vRZDSFnfu3cvc3NzYzU1NT/t++PHj5lCoWBcLpf5+fmxpKQklpOTY5OyXllZyRYuXMh4PB4TiURMo9GwkpISh/2oqqpiAJhKpfppH0wGSlmXyWR2t2lubmZxcXHM19eXubu7s1mzZrELFy5YPMdRWrApdTs/P39Q/bBmqsj84sULplKpmIeHBxMKhezIkSM2VX8ZYyw7O5vNnTuX8Xg85uXlxWbNmsU0Go1FNe/u7m526NAhNnnyZMbj8djixYtZTU0NmzhxIktISLDpu3XKur3rZJ127ui8Tdep//VzlLJufS0ZY3ZToK9evcqkUikbP348k8vlrKioiMXExDCpVGqzvT1arZZJpVLG4XCYUChk27dvt0nF/pWUdbFYzADYvdlLo9fr9Sw4OJhxuVwmEAjYjh07zKUQTEylAhzdBjLQ9ezp6WGpqalMLBYzd3d3JpPJLMoz9FdbW8sAsD179gx4vIH62v+1NND5KBSKAY9BRo4bY6Mkio6QP2j+/PkQi8XIz893Wh+MRiMCAwNx6dIlbNiwwWn9+Be0tbXBx8cHycnJOHjwoLO7M2SBgYEQCAS4e/eus7tCyKhGMT3E5X3+/BlGo9GiGrAz/Pfff+Dz+Vi+fLlT+zHa2Ku/kp6eDsD+TwP8zbq6utDd3W3RVlZWBqPROOrOhZC/EcX0EJc3YcIEu/U9RsqNGzfw7NkzZGdnY+fOnfD09HRaX0aja9eu4eLFiwgPDwefz0dFRQWuXLkClUqFkJAQZ3fvl3z48AFKpRLr16+HSCRCbW0tMjMzMXnyZCQkJDi7e4SMerS8RYiT+fv7o7m5GUuWLIFOpxuRYOJ/SXV1NTQaDQwGAz5//gyhUIiYmBgkJyePupTh9vZ2xMfHo7KyEi0tLfD09ERoaChOnDhh8btqhJDfQ4MeQgghhLgEiukhhBBCiEugQQ8hhBBCXAINegghhBDiEmjQQwghhBCXQIMeQgghhLgEGvQQQgghxCXQoIcQQgghLoEGPYQQQghxCTToIYQQQohL+B9T9atMf7SvfQAAAABJRU5ErkJggg==", + "image/png": 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", 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Pzw9Lly5FTk6OPAjSVAxtrODgYLVlHh4eePPmjfxvfa6JKcd48eIFsrKyULFiRbXtKleuDIlEgsePH3NWGQDA8OHDsW3bNrRp0wYBAQFo1aoVunXrxhkIqebFzc0NABAUFKS2XPEaAMC+ffswc+ZMJCQkIDc3V75cnwDQUKmpqYiNjYWbmxt27NgBkUgkXycLwhTzIJOTk6O0jaLMzEz5w/DUqVNK1acFBQUYOXIkevfujbp162rNm4ODA/Ly8jjX5eTkaKwu++uvv5CSkoIvvvhCa/qGuHnzJjp27IjIyEisXr3abGnpuuaazlnb+5ieno6JEydi3Lhxap8/VQ4ODnq/3127doWNjQ1+++03+bIOHTogPDwckyZNwtatWw1OU9HOnTuRk5NTvKq8QOP8lAiVKlUCIK3HNgdZEPDPP/9o3Ea2LiIiwix5KEpKlSqFevXq4cSJE7h79y5SU1PRqFEjNGzYEPn5+Th//jxOnjyJSpUqwcfHR2tamh7EiiVzihRvxooYY4adhBbmPkbp0qWRkJCAvXv3on379jh27BjatGmj9itbW164livm7+TJk2jfvj3s7e2xbNky7N+/H4cOHULPnj15vVaAtG1dmzZt8PbtWxw4cABlypRRWu/v7w8AnN3Bnz59Kh+zS1FeXh46deqEf/75B3v27FHrbv3zzz/j1q1bGDp0KB4+fCh/AdIfKg8fPkRWVpb8+GKxGM+fP1c7xqtXr9TyK7Nx40YIhUKlElNTPH78GK1atYKbmxv2799v9A8pfdLSdc25zlnX+zh//nzk5eWhe/fu8uudnJwMQFqy+PDhQ3mQ6e/vj9TUVLXPmiw/srTv37+PAwcOoH379krbeXp6omHDhjh9+rTSOemTpqqNGzfCzc3NqJJ1a0bBTwnQpk0biEQi/PLLL2ZNn2tsCJmff/4ZNjY2OqspND3MQ0JCcOfOHUgkEqXlN2/elK/Xtr8m5cqVw/Xr17Vuo++xDdGoUSP8/fffOHz4MLy9vVGpUiV4enqiSpUqOHnyJE6ePInGjRvrTMfDwwMA8PbtW6XlxpaEAfpdE1P4+PjA0dERt27dUlt38+ZNCIVCnb+MbW1t0a5dOyxbtgz37t3D0KFD8fPPP+Pu3bu85HHnzp2wt7fHwYMHMWDAALRp00bjGDmmyMnJQbt27XD79m3s27eP88dBQEAAfHx8OAcq/Pvvv1GjRg2lZRKJBH369MGRI0ewadMmNGnSRG2/pKQk5Ofno0GDBggLC5O/AOl3NSwsDH/++ScAyNNXPf7FixchkUjUjg9IS0x27tyJpk2banyoGuLVq1do1aoVcnNzcfDgQXlwYq60IiMjYWNjo3bOeXl5SEhIUDtnfd7HpKQkvHnzBlWqVJFfb1kV9KxZsxAWFoYbN24AkF7zrKwsJCYmKqUhq6KUHf/Zs2cAuH/s5Ofno6CgQP63vmkqevr0KY4dO4bOnTtzVpkVZRT8lABBQUEYPHgw/vzzT85RWSUSCRYsWCD/FWJM+v3798fhw4exfPlytfUrVqzA0aNHMXDgQJ2DKDo5OSEtLU1t+UcffYTU1FR5ES4gLbpfunQpnJ2d5Td4R0dHAOrBgCadO3fG1atXsWvXLrV1sl9I+h7bEI0aNUJubi4WL16Mhg0byoO2Ro0aYcOGDXjy5Ile7X1kbWsUe49lZmZi/fr1BudJRp9rYgqRSIRWrVphz5498tIGQHoj37RpExo2bKixvQ8gfXgpEgqF8h59XMX6xuZRIBAoPVQePnyI3bt385I+IH1gde/eHWfPnsX27dsRHR2tcdvOnTtj3759ePz4sXzZkSNHcPv2bXTt2lVp288//xxbt27FsmXLlAa4U/TJJ59g165dai9A+nnftWuXvMdd8+bN4enpqfbdXr58ORwdHTl7vvHZOygzMxMfffQRUlJSsH//frWRos2RlpubG1q2bIlffvlFqTp/w4YNyMjIULrm+r6PI0eOVLveK1euBAD069cPu3btkgegHTp0QKlSpbBs2TL5/owxrFixAgEBAahfvz4AoHz58hAKhdi6davSdzM5OVneW1RG3zQVbdmyBRKJpNhVeQHU5qfEWLBgAe7du4eRI0fi119/Rdu2beHh4YGkpCRs374dN2/eVBrh01CLFi3CzZs3MXz4cBw4cEBewnPw4EHs2bMHTZo0wYIFC3SmU7t2bWzduhVjxoxB3bp14ezsjHbt2mHIkCFYuXIl+vXrh0uXLiE0NBQ7duzA6dOnsXjxYnmxtYODAyIiIrB161ZUqFABnp6eiIyM1DjK6rhx47Bjxw507doVAwYMQO3atfH69Wvs3bsXK1asQPXq1fU+tiGio6NhY2ODW7duYciQIfLljRs3lj9k9Al+WrVqheDgYAwcOBDjxo2DSCTC2rVr4ePjo3X0WG30uSammjlzJg4dOoSGDRti+PDhsLGxwcqVK5Gbm4vvv/9e676DBg3C69ev0bx5cwQGBuLRo0dYunQpatSowVvD2tjYWCxcuBCtW7dGz5498fz5c8TFxaF8+fJaq3cNMXbsWOzduxft2rXD69ev1UpmFbuPf/3119i+fTuaNWuGUaNGISMjA/PmzUPVqlXRv39/+XaLFy/GsmXLEB0dDUdHR7U0O3bsCCcnJ1SqVEleHa4qLCwMH3/8sfxvBwcHzJgxAyNGjEDXrl3l7dR++eUXfPfdd/D09FRLY+PGjbCzs9Paduy3337D1atXAUhLKf755x/MnDkTANC+fXt5QNurVy/8/fffGDBgABITE5VKLpydnZXyqoshaX333XeoX78+mjRpgiFDhiA5ORkLFixAq1atlEqw9X0fa9WqhVq1aimtkwX/VapUUTp2YGAgRo8ejXnz5iE/Px9169bF7t27cfLkSWzcuFFebevj44MBAwZg9erVaNGiBTp16oR3795h2bJlyM7OxsSJEw1OU9HGjRtRpkyZ4jlavoV6mRETGDMCM2PSLr2rV69mjRo1Ym5ubqxUqVIsJCSE9e/fX6mburHp5+bmskWLFrHatWszJycn5ujoyGrVqsUWL17M8vLy9Dq3jIwM1rNnT+bu7s45yGH//v2Zt7c3s7W1ZVWrVmXr1q1TS+PMmTOsdu3azNbWVq+u569evWKfffYZCwgIYLa2tiwwMJD17duXvXz50uBj63M8mbp16zIA7Pz58/JlycnJDAALCgrSKw3GGLt06RKrV68es7W1ZcHBwWzhwoVaBzlU1aRJE7Vu3vpcEy7g6CotO7ZqV+bLly+zmJgY5uzszBwdHVmzZs3Uuudy2bFjB2vVqhUrXbq0/JyHDh3Knj59Kt9G02dYNjSA6mCNffv2ZU5OTkrL1qxZw8LDw5mdnR2rVKkSW7duHefQAsZ2deca1FPxper69eusVatWzNHRkbm7u7NevXqx1NRUtfPQlqbi54GLpvePMcZWrVrFKlasyGxtbVm5cuXYokWLOIc+SEtLY/b29joHINSWV8XvlmyIBq6XoaPBG5rWyZMnWf369Zm9vT3z8fFhI0aMUBragjHD30dFmrq6MyYd7mLWrFnygUarVKmiNNyGTH5+Plu6dCmrUaMGc3Z2Zs7OzqxZs2bs6NGjRqfJGGM3b97Ua3iSokrAGM+t9wghhBBCrBi1+SGEEEJIiUJtfgghhBRpaWlpWgceBGDQ7O+k+KNqL0IIIUVav379dPZwpEcdUUTBDyGEkCLtxo0bePLkidZtzDFOEym6KPghhBBCSIlCDZ4JIYQQUqJQ8EMIIYSQEoWCH2J28fHxEAgEnHMTAUDTpk01jsBsLbKysjB16lQcP37crMe5fPkyBAIBvvnmG43b3LlzBwKBAGPGjFFaPn78eAgEAnTv3t2gY/br109pxm9VAoEAn332mfzv48ePQyAQYMeOHZzbf/bZZybNfC6RSPD9998jLCwM9vb2qFatGjZv3qy23U8//YQmTZrA19cXdnZ2CAsLQ//+/ZWmzADef/40vTZu3KgzT7m5ufjqq69QpkwZODg4oF69ejh06JDSNllZWYiLi0OrVq3g7+8PFxcX1KxZE8uXL+ece4nv83z48KH8nHbu3KmWztSpUyEQCPDy5UtezlfxeFyvwYMHq6V7+fJltG/fHp6ennB0dERkZCSWLFmiMz+7du1CTEwMypQpAzs7OwQGBqJLly6cc9B98cUXqFWrlvwYlStXxtSpU5GRkcGZtr55ysvLw6xZs1CpUiXY29vD19cXsbGx8mmBtm3bBoFAwDktTPXq1SEQCHDs2DG1dcHBwZxTSxDzoq7uhOghKysL06ZNAwCzDvVeq1YtVKpUCZs3b5YP9a9q06ZNAJSnP2CMYfPmzQgNDcVvv/2Gd+/emTTrtSVNmjQJc+bMweDBg1G3bl3s2bMHPXv2hEAgUJqC5cqVKwgLC0P79u3h4eGBBw8e4KeffsK+fftw9epV+YSajRs35px0d9GiRbh69SpatGihM0/9+vXDjh07MHr0aISHhyM+Ph4fffQRjh07hoYNGwKQzrD9+eefo0WLFhgzZgxcXV1x8OBBDB8+HOfOnVPrjcT3eSqaPn06OnXqZHQQqs/5+vj4cF7XAwcOYOPGjWjVqpXS8j///BPt2rVDzZo18e2338LZ2Rn37t3Ta07Ba9euwcPDA6NGjYK3tzdSU1Oxdu1aREVF4ezZs0pTrly4cAGNGjVC//79YW9vjytXrmDOnDk4fPgwTpw4AaHw/W9+ffOUn5+P2NhYnDlzBoMHD0a1atXw5s0bnD9/HmlpaQgMDJRfl1OnTqFjx47yfdPT03H9+nXY2Njg9OnTaNasmXzd48eP8fjxY5OmFiJGstTQ0qTkMHa6DGvy4sULg6auMMWMGTMYAHb27FnO9RUrVmSVKlVSWnb06FEGgB09epSVKlWKxcfH6308rqkdFEFlygPZ9A3bt2/n3H7EiBE6h/XXJDk5mZUqVUrpeBKJhDVq1IgFBgaygoICrftfvHiRAWCzZ8/Wul1WVhZzcXFhH374oc48nT9/Xm0KguzsbFauXDkWHR0tX/bixQt2/fp1tf379+/PALA7d+6Y9TxlUyXUqFGDAWA7d+5U2kfT1B7Gnq8mLVq0YK6uriw7O1u+LC0tjfn6+rKOHTsysVisMw19pKamMhsbGzZ06FCd286fP1/tO2VInubOnctKlSqlNBUNl7CwMBYVFaW07MCBA0wgELAePXqwmJgYpXWbNm1iANiePXt0ngPhF1V7Eau0bt06NG/eHKVLl4adnR0iIiI4Z4wPDQ1F27Ztcfz4cdSpUwcODg6oWrWqvHrq119/RdWqVWFvb4/atWvjypUrSvvLqnzu37+PmJgYODk5oUyZMpg+fbp8XJCHDx/Cx8cHADBt2jR5sf7UqVPl6Rw9ehSNGjWCk5MT3N3d0aFDB6VJE4H31Q53795Fv3794O7uDjc3N/Tv3x9ZWVny7WQzKMtKeBRdunQJt27dUptleePGjYiIiECzZs3QsmVLvapyrNGePXuQn5+P4cOHy5cJBAJ8+umnSE5OxtmzZ7XuHxoaCgB4+/at1u1kpWP6zFa9Y8cOiEQipQlo7e3tMXDgQJw9e1Y+07q3tzeqVKmitr+sFEDx82DO8/zkk09QoUIFpc+wIfQ9Xy5Pnz7FsWPH0KlTJ9jb28uXb9q0Cc+ePcN3330HoVCIzMxMSCQSg/OmqHTp0nB0dNT5XgPc10vfPEkkEvzwww/o2LEjoqKiUFBQoPR9VdSwYUNcuXJFacDF06dPo0qVKmjTpg3OnTundIzTp09DIBCgQYMG+p004Q0FP6TQpKWl4eXLl2qv/Px8tW2XL1+OkJAQfP3111iwYAGCgoIwfPhwxMXFqW179+5d9OzZE+3atcPs2bPx5s0btGvXDhs3bsQXX3yB//3vf5g2bRru3buHbt26qd3gxGIxWrduDV9fX3z//feoXbs2pkyZgilTpgCQFu/LAq+OHTtiw4YN2LBhAzp16gQAOHz4MGJiYvD8+XNMnToVY8aMwZkzZ9CgQQO1dhkA0K1bN7x79w6zZ89Gt27dEB8fL69SA6SzatevXx/btm1TaysiC4h69uwpX5abm4udO3eiR48eAIAePXrg6NGjSE1N1fmeKOJ6b/RpH8KnK1euwMnJSW129qioKPl6Va9evcLz589x8eJF+QznuqqyNm7cCAcHB/l7qCtPFSpUgKurK2eeEhIStO4vex+8vb2V0jTXeYpEInzzzTe4evUqZ/sTXUw53y1btkAikagFlYcPH4arqytSUlJQsWJFODs7w9XVFZ9++ilycnL0ztvbt2/x4sULXLt2DYMGDUJ6ejrnNSgoKMDLly/x5MkT/Pnnn/jmm2/g4uIiPwdD8iQbQ6hatWoYMmQInJyc4OTkhGrVqqm14WnYsCHy8/Nx/vx5+bLTp0+jfv36qF+/PtLS0pTaKZ0+fRqVKlWCl5eX3teA8MTSRU+k+JNVe2l7qVZ7ZWVlqaUTExPDypYtq7RMNkuz4mzgBw8eZACYg4MDe/TokXz5ypUr1Wbbls0s/fnnn8uXSSQSFhsby2xtbeVVBNqqvWrUqMFKly7NXr16JV929epVJhQKWZ8+feTLZNUOAwYMUNq/Y8eOzMvLS2lZXFwcA8AOHjwoXyYWi1lAQIBa1cOOHTuUqlXS09OZvb09W7RokVpeueiaCRyFWO0VGxur9h4zxlhmZiYDwCZMmKC2zs7OTp5PLy8vtmTJEq3HePXqFbO1tWXdunXTK09VqlRhzZs3V1v+77//MgBsxYoVGvfNzc1lERERLCwsjOXn58uXm+M8FWcILygoYOHh4ax69erymdf1rfYy5Xxr167N/P391aqRqlWrxhwdHZmjoyP7/PPP2c6dO9nnn3/OALBPPvlEa34UVaxYUX4NnJ2d2TfffMNZZXX27Fmlz2/FihWVvveG5OnXX3+VX/Pw8HC2bt06tm7dOhYeHs5sbW3Z1atX1a7RjBkzGGPSGdednJzY+vXrGWOM+fr6sri4OMaY9HsqEonY4MGD9T5/wh9q8EwKTVxcHCpUqKC2fOzYsWolHA4ODvL/p6WlIT8/H02aNMHBgweRlpYGNzc3+fqIiAhER0fL/65Xrx4AoHnz5ggODlZbfv/+fbVGy4q9mWS9m37//XccPnxYa2PEp0+fIiEhAePHj4enp6d8ebVq1fDhhx9i//79avsMGzZM6e9GjRph165dSE9Pl//a7t69O0aPHo1NmzbJG47+9ddfSElJwcSJE5X237hxI+rUqYPy5csDAFxcXBAbG4uNGzdi9OjRGvOuyN7eHr/99hvnug8//FCvNPiQnZ0NOzs7teWyKhSu+Zv++OMP5OTkIDExEb/88gsyMzO1HmPHjh3Iy8vTq8rL2DzJfPbZZ7hx4wZ+//132Ni8v92a+zxlpT99+/bF7t27lRrg6mLs+d6+fRuXLl3CF198odSoGAAyMjKQlZWFYcOGyXtSderUCXl5eVi5ciWmT5+O8PBwnXlbt24d0tPTcf/+faxbtw7Z2dkQi8Vqx4uIiMChQ4eQmZmJM2fO4PDhw2q9vfTNk2y/d+/e4cqVKwgKCgIgvb+UL18e33//PX755RcAQOXKleHl5YVTp04BAK5evYrMzEx5b6769evj9OnTGD58OM6ePQuxWCxvKE0KFwU/Wpw4cQLz5s3DpUuX8PTpU+zatQsff/yx3vvn5ORg2LBhuHTpEhITE9G2bVvs3r1baRtNc9JERETg33//NfEMrEtUVBTq1KmjttzDw0OteuX06dOYMmUKzp49q1a/rhr8KAY4AOTrZDcp1eVv3rxRWi4UClG2bFmlZbIgjavaStGjR48AABUrVlRbV7lyZRw8eBCZmZlwcnLSmF8PDw95vmTBj5eXF2JiYrBr1y6sWLEC9vb22LRpE2xsbNCtWzf5vm/fvsX+/fvx2Wef4e7du/LlDRo0wM6dO3H79m1UqFAB2dnZSEtLUzqu4kSPIpHIKob/d3BwQG5urtpyWTWEYlAsI+s906ZNG3To0AGRkZFwdnZWCmgVbdy4EZ6enmjTpo3Z8gQA8+bNw08//YQZM2bgo48+MjlNQ8+zV69emDFjBqZPn27QfcvY85W1M+MKKmX7yKpmZXr27ImVK1fi7NmzegU/ij9yPvnkE3m14fz585W2c3V1lX+eO3TogE2bNqFDhw64fPmyvGeYvnmSbdegQQOle0pwcDAaNmyIM2fOyJcJBALUr18fJ06cgEQiwenTp1G6dGn5D5P69evjxx9/BCC9xwGg4MdCqM2PFpmZmahevTpnOxN9iMViODg4YOTIkRofLD/88AOePn0qfz1+/Bienp7o2rWrKVkv0u7du4cWLVrg5cuXWLhwIX7//XccOnQIX3zxBQCotdkRiUSc6Whaziw8o4u++frf//6H9PR07Nu3D3l5edi5cydatWolb3wNANu3b0dubi4WLFiA8PBw+Us2BpDsgbR161b4+/srvYylqwQgKytLqbGrIfz9/ZGamqp2LZ4+fQoAnN26FZUrVw41a9bU2OA7KSkJJ0+eRNeuXVGqVCm98yQ7vr55io+Px1dffYVhw4Zxjtlk7vME3pf+JCQkYM+ePVrTU82boecLSNujVaxYEbVr11ZbJ9vH19dXaXnp0qUBqP8g0YeHhweaN2+uV+N+WduuLVu2GJwnTdvJtlXNe8OGDZGWloZr167J2/vI1K9fH48ePUJKSgpOnTqFMmXKqP3wIoWDgh8t2rRpg5kzZ2osMs7NzcWXX36JgIAAODk5oV69ekqD4Dk5OWH58uUYPHiw0q9sRW5ubvDz85O/Ll68iDdv3sgbNJZEv/32G3Jzc7F3714MHToUH330EVq2bKnxF6epJBIJ7t+/r7Ts9u3bAN73EtE0XkpISAgA4NatW2rrbt68CW9vb6VSH0O0b98eLi4u2LRpE/744w+8efOGs5dXZGQktm/frvZq2bKlvIF0TEwMDh06pPQylrZzli2XbWOoGjVqICsrS62nnKwBaY0aNXSmwVXKJbN582YwxvSu8pId8/bt20hPT9crT3v27MGgQYPQqVMnjT+czH2eMv/73/9Qvnx5TJs2Te+g39Dzla27e/euxusqC4hSUlKUlssmI1UM6A2hzzUApPdqiUSitK2+eapatSpKlSqltp1sW9W8K473c/r0aaWeXLVr14adnR2OHz+O8+fPUy8vS7Jkg6OiBADbtWuX0rJBgwax+vXrsxMnTrC7d++yefPmMTs7O3b79m21/fv27cs6dOig8zht27bVa+yRosTQcX6WLFnCALCHDx/Kl719+5b5+/szAOzBgwfy5SEhISw2NlYtTag00mVMuUGojLYGz6VKlWLPnz9njEkbYANgo0aNUjtWjRo1mK+vL3vz5o182bVr1zQ2eFZtcCq7PornJdOnTx9mZ2fHYmJimJOTE8vIyJCvS0pKYgKBgE2fPl1tP8YY27hxIwPAzp07x7le8RoYMs4PY9JzDgkJUTpnxqTjzwiFQjZ69Gitx9Tk8ePHGse/CQgIkI9/k5+fz16/fq22//nz55lIJGK9e/fmTL9atWosODhY3ghY1YsXL1hiYiLLzMyULzt37pza5yYnJ4eVL1+e1atXT2n/v/76i9nb27NmzZqxnJycQj1Prs83Y4zFx8crjf+jq8GzIecrM3LkSAaA3b17l3P95cuXGQDWs2dPpeU9evRgNjY2LCUlRb7s0aNHLDExUWm7Z8+eqaX54MED5uLiwho1aiRf9ubNG5aXl6e2rWycnzVr1hiVpw4dOjCRSKSUrxs3bjCRSMSGDx+utH9ubi6zt7dn0dHRDAA7ffq00vro6Gj5uh9++EEtr6RwUPCjJ9Xg59GjR0wkEil9QRiTDvA1ceJEtf31CX5SUlKYSCRiW7du5SPLVsPQ4OfmzZvM1taWVa1alf34449szpw5rFy5cqx69epmCX7s7e1ZeHg469OnD4uLi2Nt27ZlANjXX3+ttH9ERATz8/NjcXFxbPPmzezatWuMMcYOHTrEbGxsWKVKldi8efPY9OnTmY+PD/Pw8GD379+X729M8PPnn3/Ke6z06tVLad2cOXMYAJaQkMB5Xd+8ecNsbGyUAjsuxgQ/ssEUQ0JC2JQpU9jKlSvZ6NGjmaOjIwsICFB7WMnOXbXHDZdx48YxAGzIkCHsp59+YrGxsQwA27hxo9K5OTk5sQEDBrAFCxawFStWsBEjRjBHR0fm6enJ+QPk2rVrGntS6cpn165dmY2NDRs3bhxbuXIlq1+/PrOxsWF//fWXfJuHDx8yNzc35uDgwOLi4tiGDRuUXoq9gsxxnpqCn/z8fFauXDn550hX8KPv+coUFBQwX19f9sEHH2hNc8CAAQwA69atG4uLi2Ndu3ZlANTul02aNFHrLVi6dGnWo0cPNnfuXLZq1So2btw45unpyezt7ZWCi127drGgoCD2xRdfsGXLlrHFixezzp07M4FAwOrUqcNyc3ONytO///7LnJ2dmb+/P5s9ezabPXs28/f3Zz4+Piw5OVntXBs1asQAMDs7O7UgeOzYsfL34tKlS1qvGTEfCn70pBr87Nu3jwFgTk5OSi8bGxvOLrT6BD+zZs1iXl5eal/Qos6YEZ737t3LqlWrxuzt7VloaCibO3cuW7t2rVmCHycnJ3bv3j3WqlUr5ujoyHx9fdmUKVPUutCeOXOG1a5dm9na2qp1ez98+DBr0KABc3BwYK6urqxdu3bsxo0bSvsbE/wUFBTIS7z279+vtK5q1aosODhYbR9FTZs2ZaVLl1bqZq3KmOCHMWkJQdu2bZmHhwezsbFhAQEBbNCgQZwPg7FjxzKBQKD2i56LWCxms2bNYiEhIczW1pZVqVKF/fLLL0rb5ObmslGjRrFq1aoxV1dXeSA2cOBAzuvIGGMTJkxgANg///yj8diagp/s7Gz25ZdfMj8/P2ZnZ8fq1q3LDhw4oLSNbAgATS/VYRL4Pk9NwQ9jysNN6BP86HO+MgcOHGAAdA4xkJeXx6ZOncpCQkJYqVKlWPny5TmHY+AKfqZMmcLq1Kkj/6yVKVOGffLJJ2rv5d27d1mfPn1Y2bJlmYODA7O3t2dVqlRhU6ZMUSo1NTRPjDF26dIl1rJlS+bk5MRcXFxYhw4dOINsxhibOHEiA8Dq16+vtk7Wdd7FxUXnSN7EfASMWbj1ZxEhm7BO1mti69at6NWrF/7991+1BqzOzs5qbXz69euHt2/fqvX2kmGMoUKFCmjbti0WLVpkjlMgHGRzGGma9JDwIyoqCiEhIdi+fbuls0IIIdTV3Vg1a9aEWCzG8+fP0ahRI5PT++uvv3D37l0MHDiQh9wRYj3S09Nx9epVziEdCCHEEij40SIjI0Np7JQHDx4gISEBnp6eqFChAnr16oU+ffpgwYIFqFmzJl68eIEjR46gWrVqiI2NBSAdGj0vLw+vX7/Gu3fv5EPDq/aYWLNmDerVq4fIyMjCOj1CCoWrqyvnuDGEEGIpFPxocfHiRfnAYgDkY6f07dsX8fHxWLduHWbOnImxY8ciJSUF3t7e+OCDD9C2bVv5Ph999JF8IDxAWmIEKI/pkpaWhp07d+KHH34w9ykRQgghJR61+SGEEEJIiUKDHBJCCCGkRKHghxBCCCElCrX5USGRSPDkyRO4uLhonNKAEEIIIdaFMYZ3796hTJkyEAq1l+1Q8KPiyZMnarOBE0IIIaRoePz4MQIDA7VuQ8GPChcXFwDSi+fq6mrh3BBCCCFEH+np6QgKCpI/x7Wh4EeFrKrL1dWVgh9CCCGkiNGnyQo1eCaEEEJIiULBDyGEEEJKFAp+CCGEEFKiUPBDCCGEkBKFgh9CCCGElCgU/BBCCCGkRKHghxBCCCElCgU/hBBCCClRKPghhBBCSIlCwQ8hhBBCShQKfgghhBBSolDwQwghhJAShYIfQgghhJQoFPwQQgghpESh4IcQQggp5jIzAYFA+srMtHRuLI+CH0IIIYSUKBT8EEIIIaREserg58SJE2jXrh3KlCkDgUCA3bt3673v6dOnYWNjgxo1apgtf4QQQggpeqw6+MnMzET16tURFxdn0H5v375Fnz590KJFCzPljBBCCCFFlY2lM6BNmzZt0KZNG4P3GzZsGHr27AmRSGRQaREhhBBCij+rLvkxxrp163D//n1MmTJFr+1zc3ORnp6u9CKEEEJI8VWsgp87d+5gwoQJ+OWXX2Bjo1+h1uzZs+Hm5iZ/BQUFmTmXhBBCCLGkYhP8iMVi9OzZE9OmTUOFChX03m/ixIlIS0uTvx4/fmzGXBJCCCHE0qy6zY8h3r17h4sXL+LKlSv47LPPAAASiQSMMdjY2ODPP/9E8+bN1fazs7ODnZ1dYWeXEEIIIRZSbIIfV1dXXLt2TWnZsmXLcPToUezYsQNhYWEWyhkhhBBCrIlVBz8ZGRm4e/eu/O8HDx4gISEBnp6eCA4OxsSJE5GSkoKff/4ZQqEQkZGRSvuXLl0a9vb2assJIYQQUnJZdfBz8eJFNGvWTP73mDFjAAB9+/ZFfHw8nj59iqSkJEtljxBCCCFFkIAxxiydCWuSnp4ONzc3pKWlwdXV1dLZIYQQQkyWmQk4O0v/n5EBODlZNj/mYMjzu9j09iKEEEII0QcFP4QQQggpUSj4IYQQQkiJQsEPIYQQQkoUCn4IIYQQUqJQ8EMIIYSQEoWCH0IIIYSUKBT8EEIIIaREoeCHEEIIISUKBT+EEEIIKVEo+CGEEEJIiULBDyGEEEJKFAp+CCGEEFKiUPBDCCGEkBKFgh9CCCGElCgU/BBCCCGkRKHghxBCCCElCgU/hBBCCClRKPghhBBCSIlCwQ8hhBBCShQKfgghhBBSolDwQwghhJAShYIfQgghhJQoFPwQQgghpESh4IcQUugyMwGBQPrKzLR0bgghJQ0FP4QQQggpUSj4IYQQQkiJQsEPIYQQQkoUCn4IIYQQUqJQ8EMIIYSQEoWCH0IIIYSUKBT8EEIIIaREoeCHEEIIISUKBT+EEEIIKVEo+CGEEEJIiWJQ8JOVlYUrV67g3bt3autOnz7NW6YIIYQQQsxF7+Dn3LlzCAkJQdu2beHr64uZM2cqrW/Tpg3vmTtx4gTatWuHMmXKQCAQYPfu3Vq3//XXX/Hhhx/Cx8cHrq6uiI6OxsGDB3nPFyGEEEKKLr2DnzFjxuDHH39ESkoKrl69in379qFPnz5gjAGA/F8+ZWZmonr16oiLi9Nr+xMnTuDDDz/E/v37cenSJTRr1gzt2rXDlStXeM8bIYQQQoomAdMzanF3d8fbt2/lf+fk5KBLly6wsbHBtm3b4OXlxVkdxheBQIBdu3bh448/Nmi/KlWqoHv37pg8ebJe26enp8PNzQ1paWlwdXU1IqeEEF0yMwFnZ+n/MzIAJyfL5oeQ4q4kfOcMeX7rXfLj5uaGlJQU+d/29vbYvXs3HBwcEBMTA4lEYnyOzUQikeDdu3fw9PTUuE1ubi7S09OVXoQQQggpvvQOflq2bIl169YpLbOxscGmTZtQvnx5ZGdn8545U82fPx8ZGRno1q2bxm1mz54NNzc3+SsoKKgQc0gIIYSQwqZ3tVdeXh4KCgrg6OjIuT4pKQnBwcG8Zk6RodVemzZtwuDBg7Fnzx60bNlS43a5ubnIzc2V/52eno6goCCq9iphSkKRsDWh601I4SoJ3zlDqr1s9E3U1tYWtra2GtebM/Ax1JYtWzBo0CBs375da+ADAHZ2drCzsyuknBFCCCHE0ordIIebN29G//79sXnzZsTGxlo6O4QQQgixMnqX/Ghz6tQprF27Fvfv38ebN2/Uur0LBAJcvXrV4HQzMjJw9+5d+d8PHjxAQkICPD09ERwcjIkTJyIlJQU///wzAGlVV9++ffHDDz+gXr16SE1NBQA4ODjAzc3NhDMkhBBCSHFhcsnPwoUL0aRJE2zduhXp6enw9PSEl5eX0ktbbyttLl68iJo1a6JmzZoApGMN1axZU95t/enTp0hKSpJvv2rVKhQUFGDEiBHw9/eXv0aNGmXqaRJCCCGkmNC7wbMm/v7+CA8Px2+//VYsSldonJ+SqSQ0BrQmdL0JKVwl4TtnlnF+NMnKykKvXr2KReBDCCGEkOLP5OCnWbNmuHbtGh95IYQQQggxO5ODn6VLl+LIkSOYP38+Xr9+zUeeCCGEEELMxuTgJygoCEOHDsWECRPg4+MDJycnuLq6Kr2oSowQQggh1sLkru6TJ0/Gd999h4CAANSpU4cCHUIIIYRYNZODnxUrViA2Nha7d++GUFjsxkwkhBBCSDFjcrSSl5eH2NhYCnwIIYQQUiSYHLG0bdsWJ0+e5CMvhBBCCCFmZ3LwM2XKFNy4cQPDhw/HpUuX8OLFC7x+/VrtRQghhBBiDUxu81OxYkUAQEJCAlauXKlxO7FYbOqhCCGEEEJMxktvL4FAwEdeCCGEEELMzuTgZ+rUqTxkgxBCCCGkcJjc5qegoADp6eka16enp6OgoMDUwxBCCCGE8MLk4GfkyJGoX7++xvUNGjTA2LFjTT0MIYQQQggvTA5+Dhw4gC5dumhc36VLF+zfv9/UwxBCCCGE8MLk4OfJkycICAjQuL5MmTJISUkx9TCEEEIIIbwwOfjx8vLCrVu3NK5PTEyEq6urqYchhBBCCOGFycFP69atsXLlSly5ckVt3eXLl7Fq1Sq0adPG1MMQQgghhPDC5K7uM2bMwIEDBxAVFYX27dujSpUqAIDr16/jt99+Q+nSpTFjxgyTM0oIIYSUJJmZgLOz9P8ZGYCTk2XzU5yYHPyUKVMGFy9exIQJE7Bnzx7s2rULAODq6opevXph1qxZKFOmjMkZJYQQQgjhg1HBz/z589G2bVtUqlQJAODv74/169eDMYYXL14AAHx8fGjkZ0IIIaQYKS6lUUa1+fn+++9RpUoVlC1bFp9//jkOHDiA3NxcCAQClC5dGqVLl6bAhxBCCCFWyajg59mzZzh9+jR69+6Ns2fPIjY2Fl5eXmjXrh1WrFiBpKQkvvNJCCGEEMILo4IfgUCADz74ANOmTcPFixfx5MkTLFmyBPb29pgwYQLCwsJQtWpVTJgwAadOnYJEIuE734QQQgghRjG5qzsA+Pr6YsCAAdi+fTtevnyJw4cPo3Xr1vjtt9/QuHFjeHt745NPPsH58+f5OBwhhBBCiNF4CX4U2djYoFmzZpg3bx7+/fdf3L9/HzNmzMC7d+9w8uRJvg9HCCGEEGIQk7u66xIaGooRI0ZgxIgR5j4UIYQQQohOBgc/xjZmDg4ONmo/QgghhBA+GRz8hIaGGtWNXSwWG7wPIYQQQgjfDA5+1q5dS2P4EEIIIaTIMjj46devnxmyQQghhBBSOHht8JyRkYHHjx8DAIKCguAsGwObEEIIIcRK8NLV/cKFC2jWrBk8PDwQGRmJyMhIeHh4oHnz5rh48SIfhyCEEEII4YXJJT/nz59H06ZNYWtri0GDBqFy5coAgMTERGzevBmNGzfG8ePHERUVZXJmCSGEEEJMZXLwM2nSJAQEBODUqVPw8/NTWjd16lQ0aNAAkyZNwqFDh0w9FCGEEEKIyUyu9jp//jyGDh2qFvgA0mkvhgwZgnPnzpl6GEIIIYQQXpgc/AiFQhQUFGhcLxaLIRQad5gTJ06gXbt2KFOmDAQCAXbv3q1zn+PHj6NWrVqws7ND+fLlER8fb9SxCSGEEFI8mRz81K9fH3FxcXj06JHauqSkJCxbtgwNGjQwKu3MzExUr14dcXFxem3/4MEDxMbGolmzZkhISMDo0aMxaNAgHDx40KjjE0IIIaT4MbnNz6xZs9C4cWNUqlQJHTt2RIUKFQAAt27dwp49e2BjY4PZs2cblXabNm3Qpk0bvbdfsWIFwsLCsGDBAgBA5cqVcerUKSxatAgxMTFG5YEQQgghxYvJwU/NmjVx/vx5TJo0CXv37kVWVhYAwNHREa1bt8bMmTMRERFhckb1cfbsWbRs2VJpWUxMDEaPHq1xn9zcXOTm5sr/Tk9PN1f2CCGEEGIFeBnkMCIiArt27YJEIsGLFy8AAD4+Pka39TFWamoqfH19lZb5+voiPT0d2dnZcHBwUNtn9uzZmDZtWmFlkRBCCCEWxmt0IhQK4evrC19f30IPfIw1ceJEpKWlyV+yEaoJIYQQUjzxUvJz6tQprF27Fvfv38ebN2/AGFNaLxAIcPXqVT4OpZWfnx+ePXumtOzZs2dwdXXlLPUBADs7O9jZ2Zk9b4QQQgixDiYHPwsXLsS4ceNgb2+PihUrwtPTk498GSU6Ohr79+9XWnbo0CFER0dbKEeEEEIIsTYmBz/z5s1DgwYN8Ntvv8HNzY2PPMllZGTg7t278r8fPHiAhIQEeHp6Ijg4GBMnTkRKSgp+/vlnAMCwYcPw448/Yvz48RgwYACOHj2Kbdu24ffff+c1X4QQQggpukxumJOVlYVevXrxHvgAwMWLF1GzZk3UrFkTADBmzBjUrFkTkydPBgA8ffoUSUlJ8u3DwsLw+++/49ChQ6hevToWLFiA1atXUzd3QgghhMiZXPLTrFkzXLt2jY+8qGnatKla+yFFXKM3N23aFFeuXDFLfgghhBBS9Jlc8rN06VIcOXIE8+fPx+vXr/nIEyGEEEKI2Zgc/AQFBWHo0KGYMGECfHx84OTkBFdXV6WXOarECCGEEEKMYXK11+TJk/Hdd98hICAAderUoUCHEEIIIVbN5OBnxYoViI2Nxe7du4vMwIaEEEIIKblMjlby8vIQGxtLgQ8hhBBCigSTI5a2bdvi5MmTfOSFEEIIIcTsTA5+pkyZghs3bmD48OG4dOkSXrx4gdevX6u9CCGEEEKsgcltfipWrAgASEhIwMqVKzVuJxaLTT0UKWIyMwFnZ+n/MzIAJyfL5ocQQggBeOrtJRAI+MgLIYQQQojZmRz8TJ06lYdsEEJKqpQUoEIFS+eCEFKSUBctQkihW7/+/f8rVwbWrLFcXgghJQ8FP4SQQpWcDHz++fu/JRJg6FDpckIIKQwU/BBCCtWdO9KAR5FYDNy9a5n8EEJKHgp+CCGFKjwcUB0TVSQCype3TH4IISUPBT+EkEIVGAgsXfr+b5EIWLlSupwQQgoDBT+EkELXt+/7/9+4AQwcaLm8EEJKHgp+CCEWFRBg6RwQQkoaswc/zZs3x//+9z/cuHHD3IcihBBCCNHJ7MHP8ePHsWnTJlSrVg29e/c29+EIIYQQQrQye/AjkUjw7t077N27F/7+/uY+HCGEEEKIViZPb6EPJycnfPTRR/joo48K43CEEEIIIRpRg2dCCCGElCi8lvxkZGTgzZs3YIyprQsODubzUIQQQgghRjE5+MnJycG0adOwZs0avHr1SuN2YrHY1EMRQgghhJjM5OBn+PDhWL9+PT7++GM0atQIHh4efOSLEEIIIcQsTA5+fv31VwwaNAgrV67kIz+EEEIIIWZlcoNngUCAWrVq8ZEXQgghhBCzMzn46dChAw4fPsxHXgghhBBCzM7k4Ofbb7/F/fv3MWTIEFy6dAkvXrzA69ev1V6EEEIIIdbA5DY/4eHhAIArV65gzZo1Grej3l6EEEIIsQYmBz+TJ0+GQCDgIy+EEEIIIWZncvAzdepUHrJBCCGEEFI4aHoLQgghhJQovExvcerUKaxduxb379/nnN5CIBDg6tWrfByKEEIIIcQkJgc/CxcuxLhx42Bvb4+KFSvC09OTj3wRQgghhJiFycHPvHnz0KBBA/z2229wc3PjI0+EEEIIIWZjcpufrKws9OrVy6yBT1xcHEJDQ2Fvb4969erh77//1rr94sWLUbFiRTg4OCAoKAhffPEFcnJyzJY/QgghhBQdJgc/zZo1w7Vr1/jIC6etW7dizJgxmDJlCi5fvozq1asjJiYGz58/59x+06ZNmDBhAqZMmYLExESsWbMGW7duxddff222PBJCCCGk6DA5+Fm6dCmOHDmC+fPnm2Uk54ULF2Lw4MHo378/IiIisGLFCjg6OmLt2rWc2585cwYNGjRAz549ERoailatWqFHjx46S4sIIYQQUjKYHPwEBQVh6NChmDBhAnx8fODk5ARXV1ell7FVYnl5ebh06RJatmz5PsNCIVq2bImzZ89y7lO/fn1cunRJHuzcv38f+/fvx0cffcS5fW5uLtLT05VehBBCCCm+eBnh+bvvvkNAQADq1KnDa9ufly9fQiwWw9fXV2m5r68vbt68yblPz5498fLlSzRs2BCMMRQUFGDYsGEaq71mz56NadOm8ZZnQgghhFg3k4OfFStWIDY2Frt374ZQaPkxE48fP45Zs2Zh2bJlqFevHu7evYtRo0ZhxowZ+Pbbb9W2nzhxIsaMGSP/Oz09HUFBQYWZZUIIIYQUIpODn7y8PMTGxpol8PH29oZIJMKzZ8+Ulj979gx+fn6c+3z77bfo3bs3Bg0aBACoWrUqMjMzMWTIEEyaNEktn3Z2drCzs+M974QQQgixTiZHLG3btsXJkyf5yIsaW1tb1K5dG0eOHJEvk0gkOHLkCKKjozn3ycrKUgtwRCIRAKiNPE0IIYSQksfkkp8pU6age/fuGD58OAYOHIjg4GB5sKHI2JGfx4wZg759+6JOnTqIiorC4sWLkZmZif79+wMA+vTpg4CAAMyePRsA0K5dOyxcuBA1a9aUV3t9++23aNeuHWe+CCGEEFKymBz8VKxYEQCQkJCAlStXatxOLBYblX737t3x4sULTJ48GampqahRowYOHDggbwSdlJSkVNLzzTffQCAQ4JtvvkFKSgp8fHzQrl07fPfdd0YdnxBCCCHFi4CZWBc0depUCAQCndtNmTLFlMMUmvT0dLi5uSEtLQ2urq6Wzk6RlpkJODtL/5+RATg5WTY/2hSlvBYHdL0J0Y3P7wlfaVnzd9eQ57fJJT9Tp041NQlCCCGEkEJj+b7phBBCCCGFyOSSH6FQqFe1l7FtfgghhBBC+MTLCM+qwY9YLMbDhw+xe/duVKxYEW3btjX1MIQQQgghvDBrm5+nT5/igw8+QIUKFUw9DCGEEEIIL8za5sff3x/Dhg3DjBkzzHkYQgghhOgpJcXSObA8szd4dnJywoMHD8x9GEIIIYRosH79+/9XrgysWWO5vFgDswY/169fx5IlS6jaixBCCLGQ5GTg88/f/y2RAEOHSpeXVCa3+QkLC+Ps7fX27VukpaXB0dERu3fvNvUwhBBCCDHCnTvSgEeRWAzcvQsEBlomT5ZmcvDTpEkTteBHIBDAw8MD5cqVwyeffGL0vF6EEEIIMU14OCAUKgdAIhFQvrzl8mRpJgc/8fHxPGSDEEIIIeYQGAgsXQqMGCH9WyQCVq4suaU+AI3wTAghhBR7ffu+//+NG8DAgZbLizUwuOQnKSnJqAMFBwcbtR8hhBDLseaJLIlxAgIsnQPLMzj4CQ0N1Ws6C1U0vQUhhBBCrIHBwc/atWuNCn4IIYQQQqyBwcFPv379zJANQgghhJDCwWuD54yMDCQmJiIxMREZGRl8Jk2KOBpOnRBCiLXgJfi5cOECmjVrBg8PD0RGRiIyMhIeHh5o3rw5Ll68yMchSBFEw6kTQgixRiaP83P+/Hk0bdoUtra2GDRoECpXrgwASExMxObNm9G4cWMcP34cUVFRJmeWFB2ahlOPiSnZY0sQQgixPJODn0mTJiEgIACnTp2Cn5+f0rqpU6eiQYMGmDRpEg4dOmTqoUgRQsOpE0IIsVYmV3udP38eQ4cOVQt8AMDX1xdDhgzBuXPnTD0MKWJkw6krKunDqRNCCLEOJgc/QqEQBQUFGteLxWIIVZ+CpNiTDacuYy3DqWdmAgKB9JWZadm8EEIIsQyTo5L69esjLi4Ojx49UluXlJSEZcuWoUGDBqYehhRBNJw6IYQQa2Rym59Zs2ahcePGqFSpEjp27IgKFSoAAG7duoU9e/bAxsYGs2fPNjmjpGgrSsOpp6QA/32MCSGkxCrOU5uYHPzUrFkT58+fx6RJk7B3715kZWUBABwdHdG6dWvMnDkTERERJmeUEHNS7Za/ahWVVBFCSHFlcvADABEREdi1axckEglevHgBAPDx8aG2PqRIoG75hBBSspgcnRQUFCA9PV2amFAIX19f+Pr6ygOf9PR0rQ2iCbE0bd3yCSGEFD8mBz8jR45E/fr1Na5v0KABxo4da+phCDEb6pZPCCGGK8rTFpkc/Bw4cABdunTRuL5Lly7Yv3+/qYchxGystVs+IYRYm+IybZHJwc+TJ08QoKUrT5kyZZBSlMNDUiJQt3xCCNFOU/vI5GTL5clYJgc/Xl5euHXrlsb1iYmJcHV1NfUwhBSaotQtnxBCCktxah9pcvDTunVrrFy5EleuXFFbd/nyZaxatQpt2rQx9TCEEEIIsaDi1D7S5K7uM2bMwIEDBxAVFYX27dujSpUqAIDr16/jt99+Q+nSpTFjxgyTM0oIIYQQy5G1jxwxQvp3UW4faXLwU6ZMGVy8eBETJkzAnj17sGvXLgCAq6srevXqhVmzZqFMmTImZ5QULYojgxJCCCke+vZ9H/zcuFF0R8PnZZBDf39/rF+/HowxpUEOBQIBH8kTQgghxMoU5faRvAQ/MgKBAKVLl+YzSUIIIYQQXhWJ+Sfi4uIQGhoKe3t71KtXD3///bfW7d++fYsRI0bA398fdnZ2qFChAo01RAghhBAAPJf8mMPWrVsxZswYrFixAvXq1cPixYsRExODW7ducZYy5eXl4cMPP0Tp0qWxY8cOBAQE4NGjR3B3dy/8zBNCCCHE6lh98LNw4UIMHjwY/fv3BwCsWLECv//+O9auXYsJEyaobb927Vq8fv0aZ86cQalSpQAAoaGhhZllQgghhFgxq672ysvLw6VLl9CyZUv5MqFQiJYtW+Ls2bOc++zduxfR0dEYMWIEfH19ERkZiVmzZkEsFnNun5ubi/T0dKUXIYQQQoovqw5+Xr58CbFYDF9fX6Xlvr6+SE1N5dzn/v372LFjB8RiMfbv349vv/0WCxYswMyZMzm3nz17Ntzc3OSvoKAg3s+DEEIIMQXNEsUvg6u9kpKSjDpQcHCwUfsZSiKRoHTp0li1ahVEIhFq166NlJQUzJs3D1OmTFHbfuLEiRgzZoz87/T0dJMDIMUxbjIyACcnk5IjhBBSAqlOIrpqFc07yBeDg5/Q0FCjxu/RVO2kjbe3N0QiEZ49e6a0/NmzZ/Dz8+Pcx9/fH6VKlYJIJJIvq1y5MlJTU5GXlwdbW1ul7e3s7GBnZ2dw3kjRpxigEkKINdE0iWhMTNEcUdnaGBz8rF27ttAGL7S1tUXt2rVx5MgRfPzxxwCkJTtHjhzBZ599xrlPgwYNsGnTJkgkEgj/m4Tk9u3b8Pf3Vwt8CCGEEGukbRJRCn5MZ3Dw069fPzNkQ7MxY8agb9++qFOnDqKiorB48WJkZmbKe3/16dMHAQEBmD17NgDg008/xY8//ohRo0bh888/x507dzBr1iyMHDmyUPNNCCGEGEs2iahiAFRUJxG1Rlbf1b179+548eIFJk+ejNTUVNSoUQMHDhyQN4JOSkqSl/AAQFBQEA4ePIgvvvgC1apVQ0BAAEaNGoWvvvrKUqdATEDtpwghJVFxmkTUGgkYY8zURHJycrBz505cvnwZaWlpkKiU1QkEAqxZs8bUwxSK9PR0uLm5IS0tDa6urkalQQ9s9YlNjb0OfF9LrglXZW1+Svp7VpjoO1J00HtlOYrX/tYt0yYRNeZ95NrHmj8Phjy/TS75efToEZo1a4aHDx/C3d0daWlp8PT0xNu3byEWi+Ht7Q1nmt6bEKLAyQkw/WcXISVHUZ5E1BqZPM7PuHHjkJaWhnPnzuH27dtgjGHr1q3IyMjA3Llz4eDggIMHD/KRV0IIIYQQk5kc/Bw9ehTDhw9HVFSUvO0NYwx2dnYYN24cWrRogdGjR5t6GEIIIYQQXpgc/GRlZcnnznJ1dYVAIEBaWpp8fXR0NE6dOmXqYQghhBBiBK62jiWdycFPcHAwkpOTAQA2NjYICAjAuXPn5Otv3LgBe3t7Uw9DCCGEEMILkxs8N2/eHHv27JFPHdGvXz/Mnj0bb968gUQiwYYNG9CnTx+TM0oIIYRYC2vu9UR0Mzn4mTBhAi5cuIDc3FzY2dnh66+/xpMnT7Bjxw6IRCL07NkTCxYs4COvhBAzoxu6bnSNCCn6TA5+goODlSYttbe3x+rVq7F69WpTkyaEEEII4Z3JbX6SkpKQnZ2tcX12drbRM8ETQgghhPDN5OAnLCwMu3bt0rh+7969CAsLM/UwpIhzdpZWFxBCCCGWZnLwo2t2jPz8fKW5twixFOruSQghBDCyzU96ejrevn0r//vVq1ecVVtv377Fli1b4O/vb3QGCSGEFA5qzE1KCqOCn0WLFmH69OkApJOWjh49WuMozowxzJw50+gMEkIIIYTwyajgp1WrVnB2dgZjDOPHj0ePHj1Qq1YtpW0EAgGcnJxQu3Zt1KlTh5fMEkIIIYSYyqjgJzo6GtHR0QCAzMxMdO7cGZGRkbxmjBBCCCkJqLqx8Jk8zo9sZGcAyMjIwOPHjwEAQUFBcKbWpYQQQgixMrx0w7pw4QKaNWsGDw8PREZGIjIyEh4eHmjevDkuXrzIxyEIIYQQQnhhcsnP+fPn0bRpU9ja2mLQoEGoXLkyACAxMRGbN29G48aNcfz4cURFRZmcWUJMQeMMEUIIAXgIfiZNmoSAgACcOnUKfn5+SuumTp2KBg0aYNKkSTh06JCphyKEEEIIMZnJ1V7nz5/H0KFD1QIfAPD19cWQIUNw7tw5Uw9DiJLMTEAgkL6oRIeQwkEjtZPiwuTgRygUoqCgQON6sVhMIzwTQgghxGqYHJXUr18fcXFxePTokdq6pKQkLFu2DA0aNDD1MIRoRL9GCSGEGMLkNj+zZs1C48aNUalSJXTs2BEVKlQAANy6dQt79uyBjY0NZs+ebXJGCSGEEEL4YHLwU7NmTZw/fx6TJk3C3r17kZWVBQBwdHRE69atMXPmTERERJicUUIIIYQQPpgc/ABAREQEdu3aBYlEghcvXgAAfHx8qK0PsSpPnnAvT0kBAgIKNy+EEEIsx+ToJCkpCdnZ2dLEhEL4+vrC19dXHvhkZ2dzzvhOSGG7f597+b17hZsPQgghlmVy8BMWFoZdu3ZpXL93716EhYWZephijbptF46yZbmX0zw6hBBSspgc/DDGtK7Pz8+n6q8SaP16/tNMSTFt/zJluJc3a2ae/BJCCLFORrX5SU9Px9u3b+V/v3r1irNq6+3bt9iyZQv8/f2NziApepKTgc8/V1+ekgL81xlQb4pBSeXKwKpVwMCBpuVPlUQCjBzJb5qEEEKsl1HBz6JFizB9+nQAgEAgwOjRozF69GjObRljmDlzptEZJEXPnTvSgELVvXuGBT+qQZREAgwdCsTEAB4epudTkVjMb3qEEEKsl1HBT6tWreDs7AzGGMaPH48ePXqgVq1aStsIBAI4OTmhdu3aqFOnDi+ZJUVDeDggFKoHQOXKGZYOVxAlFgN37wJ165qWR1UiEQVAhBBSUhgV/ERHRyM6OhoAkJmZic6dOyMyMpLXjJGiKzAQWLoUGDFCebmh3cm5giiRCChf3vQ8KhKJgCVL1PNLCFFvD7d+PTB8uGXyQghfTG6JPGXKFAp8iJq+fU1PQxZEKVqyRLrcGBs3ci+/cYOf/BJS3HC13xs5UrqckKKMumGRQmNMby3VoMTYIOX2bWDMGO51NMAhIdy0VT0TUpRR8EMKTeXKwJo1ljk23ayJORT3SXVlVc+KzFH1TEhho+CHFBpZby1LFJnTzZoQw3FVPc+bZ3zVMynaMjOlAX9xUCSCn7i4OISGhsLe3h716tXD33//rdd+W7ZsgUAgwMcff2zeDBK9WarInKq2rAeNaF60qFY19+plmXzwwVyfPVMHYCWFj7fgJzMzE0+fPkVGRgZfSQIAtm7dijFjxmDKlCm4fPkyqlevjpiYGDx//lzrfg8fPsSXX36JRo0a8ZofYhoqMieEFAeqA7BaqkqfGMek4Ofhw4cYPnw4QkJC4OrqisDAQLi5uSE4OBgjRozAgwcPTM7gwoULMXjwYPTv3x8RERFYsWIFHB0dsXbtWo37iMVi9OrVC9OmTUNZTRM6kUInEgErV1KReVFBJTSEcNM0ACv1gis6jA5+9uzZg2rVqmHFihUQiURo164devbsiXbt2sHGxgbLly9HtWrVsGfPHqMzl5eXh0uXLqFly5bvMywUomXLljh79qzG/aZPn47SpUtjoB7zIOTm5iI9PV3pRczjxg3+p6YghJDCRr3gij6jBjm8ceMGunfvjrJly2LlypWcVUsnT57EsGHD8Mknn+DSpUuIiIgw+DgvX76EWCyGr6+v0nJfX1/cvHmTc59Tp05hzZo1SEhI0OsYs2fPxrRp0wzOGzEctbshhFgLWcPdjAzAycmwfQtrAFZiPkaV/MyaNQve3t44deqUxjY1jRo1wsmTJ+Hl5YXZs2eblEl9vXv3Dr1798ZPP/0Eb29vvfaZOHEi0tLS5K/Hjx+bOZeEEEKKMtVecIpV+sW1uri4Neo2quTn2LFjGDRoEDw9PbVu5+npiQEDBmCNkS3BvL29IRKJ8OzZM6Xlz549g5+fn9r29+7dw8OHD9GuXTv5Msl/obmNjQ1u3bqFcioTTNnZ2cHOzs6o/BHD0LD4hJDiom/f91Pi3Lhh2KTNRYVio+6KFS2XD3MwquTn1atXCA0N1WvbsLAwvHr1ypjDwNbWFrVr18aRI0fkyyQSCY4cOSKfW0xRpUqVcO3aNSQkJMhf7du3R7NmzZCQkICgoCCj8kEMx/UrgYbFJ4QUR8WxSp9rapPixKiSH29vb717cj148EDvKiguY8aMQd++fVGnTh1ERUVh8eLFyMzMRP/+/QEAffr0QUBAAGbPng17e3u1ecbc3d0BgOYfK2RcDf/EYuDaNertRQgp+hSrtDIzDW83ZO24GnUXJ0YFP02bNsWaNWswevRorVVfr1+/xpo1a9CsWTOjM9i9e3e8ePECkydPRmpqKmrUqIEDBw7IG0EnJSVBqDr+ugVZagRMxeMa04CPb5oa/qnUOhJCCLFCXI26ixOjooavv/4ar169QuPGjXHmzBnObc6cOYMmTZrg1atXmDhxokmZ/Oyzz/Do0SPk5ubi/PnzqFevnnzd8ePHER8fr3Hf+Ph47N6926TjE8NpKgYujsXDhJCSJTMTUOmEbHF8N7TmmtqkODGq5CciIgKbNm1Cnz590KhRI4SGhqJ69epwcXHBu3fv8M8//+DBgwewt7fHL7/8gipVqvCdb0IIIRYge8gC1lHKbG34qA6zljm0FBt1FzdGBT8A0KlTJ9SoUQPff/899u3bp1S64u/vj0GDBmHcuHEoTwMfEEJKEGurgiaEqDM6+AGAsmXLYsWKFQCA9PR0vHv3Di4uLnB1deUlc4SUVPQAJcUVfbYLh+J1VhkthsDE4EeRq6srBT3FBN2cLMtairwJIfqRtf/heV5vYkZGBT/VqlUzaHuBQICrV68acyhCCCGEEF4ZFfx4enpCIGvxBiA/Px9nzpxBtWrV4OHhwVvmCCkMKSnW3QvNUmOIPHlS+McsiorjGC/mQqWaysx1PZydqapLF6OCn+PHjyv9/fLlS5QuXRoLFy5E8+bN+cgXIQZxdja+iu7ePcOCH2uvFjQlf4rD2deuzW++CCG6WWM3+uKIl9EBFUuBiLLiNhmcqZydzTfZn+KD2xA08KKU6nD2xXVwM0KsGZW4Fg7rGRq5mKpcGTByXlejB60qCQGXoXOHabsm1lzlVZiK+3D2fFENsjdutEw+CL+sZTZ2KnEtHBT88Ez1ISuRAEOHmn9CT8UbsikBl7kFIBnCv44BFy4Ax44ZfWE0zR3GtVzT9kSZbDh7cyrqbT64JnscN44m7CVSzs6mV1nx9QOkpFSdGRu0UvDDM0Mfynzgqq4ojIDLUMOwDMkIgkNscyAqCmjeHAgJMSpS4xo7UyTSPKcYjbWpm+pw9iKR5fJirbhKx8z9/SZFF1VhWS+jGjxfvnxZ6e+0tDQAwJ07d+SzqKuqVauWMYcqcgx9KPNB2w3ZWmZQD0AyfsTn6itkkVpMjEGZ5aqqWrJEcxJ8Vm0V59mcFYezF4stmxdrxDXZo7m/36Toql0bWLUKGDjQsvkoKaVAhjAq+KlTpw5nI+fhw4erLWOMQSAQQFxC7qSqD1mRCFi50rxBiLlvyHz0bgrHHYigoTyXp0itb1+TdidEJ1npmOJ8R2IxEBRknT3/iGUZ89tOJKIfHoXBqOBn3bp1fOej2LpxA6hQwbzHUL0hKwZcfAQugpRkNMUd3EE4AOMClDsIhxhC7gDIgEgtJcX815MQbYrzZI9EypShM1QZ+tvuxAmgQQPTj6vN+vUAR1lFiWJU8NOXfmLrrbB6EinekPkMuGxWLYPdmBE4BkAMIQrWrwKGG16Gm4JAfIU5mIsJEEECBkAA6Cwac3IC4uLen1vlytJi5E8+Mez4xnaDJ6Skoh8a/DC0FN7f33x5kRk5Emjf3nqaRVgCNXguhvgKuAKQDNsv37fTEUEC25HGtaQegDXywEcMAd71/1za2+vhQ60V4poacxvSnZ+rhw4AXLkCMEZVFYWlqPf0KgmKSq9RYxV2F/bCaPZgDGqkb2Twk5OTg2HDhmGpYtcQDkuWLMGnn36K/Px8ozJHDBOAZDTFMQhS+OnmFY47EKi0pBYY8a0JQDJWYYi8yksEBtd1S4GLF3XeFTQ15r53T//jaxq/5sED/dOwZtYyPgmxTvp+PvT9ofH0qXnyWVhk98kASO+T5hx49eJF/Rs7y/Ilemrc/duQc6BG+kYGP6tWrUJ8fDxiY2O1bhcbG4t169Zh9erVRmWO6M9mlbQb+TE0h0Nl47qPq2qFP9SWMT2/NYpfRI2NnceP11mKxDX2jEhk2KjMmsavCQvTPw1Cijt9f2g0alR4eQL4De7t1y7D4//uk48QggEwb9FWmTL6bScbBuQYmiOokfnzpa1nbElhVPCzbds2dO7cGWXLltW6Xbly5dC1a1ds3rzZqMwRPSUrV08JeBjoZwK+w0TMU1rGAORNm2Pwt0ba2JljChTGgB9+0LpvYCAwf77ysiVLDKvaUx2/RkbfGxMhJYGmHxqq1cJFdhTw5GQ4f/25/E4kggQrMUReAmQpqsOACCQSrMRQs+ZLn2a7xb2a2qjg59q1a2jYsKFe29avXx///POPMYch+rqjXj1lSqWuICUZ3+Fb9eUAJLXqGJyetLHzXDCulYsW6QzSevVS/tuY9vbURp8Q7bgGuVy5UtrryVwKs5r2xZk7EDLl+6QNJBiJHyz6oOcqGbeBGOVRwhvlmJlRwU9eXh5sbW312tbW1ha5ubnGHIboKzwcTOUnWwFEyCpjXKWu4O4dCDlCFTGEYOWMS3MBxmEFhqqvoJZ3hJiMr6ohxR8JN25I26sUl1//mkqgx2Ah7PZss1gJkGwYEEUFEOEuSnijHDMzKvgpU6YMrl+/rte2169fRxmqXzCvwEDkLV2FAkjnIyiACEOxEizAuEpdVl79y8gAfIU5RqcJAN/hG7V0dbW8y8zkHp2Uuq4TYl6BSAaOHUPBQyubJ8dIwfUDsQhj1ZbbQAK3Id2NbgOk2oDaEOvXS0vGh+D9/ZuJpPfvFCPHVCP6MSr4admyJX7++Wc8f/5c63bPnz/Hzz//jA8//NCozBH9FfQdiFA8RFdsQw9swkHEGJ0WCwjERvSQl/0wANvRBQswzqQ8cn3JjekHmpLC3XW9JMxmTyxP0+esOH3+hmEZHCsGAc2bo1l/8zfALQyBgYDb5FHqP8D+I20DZFhbG8WGyoYGT4q969ZCev9uimO4tOMh1sLC82GUAEYFP1999RVycnLQvHlznD9/nnOb8+fPo0WLFsjJycG4caY9NEsSU4qve2M9tqMbtqM7HiEYNovn/Tc6s/RXib435x2Lk9ELm+UFxAIAnbCLl2JhxS959o2HRk1607xiMhpL1H9pGdL9nRjGnN2BixpNtbTF5fOnqwFuUZ7wtsMI5R9gqgxpa6N6nQwNnlR716UgEH+hKe5kU4lPYTAq+Clbtiy2bduGpKQk1K9fH+Hh4ejUqRP69u2LTp06oUKFCqhfvz4ePnyILVu2oJwh/ZKJUZyWz8dsfCP/WwQG22/Gw6FisPxXybxKa3T2gE9OBn7+1vQGeNoGDpR9yY2pQhsGxa6qwZiLcfKbjaEfM19feqATw2mqpTX2Nmdt4zTpaoB74oR+6ZjzvBTTNjR92Q+wrtimta2Nrqp1UxsqaxqCIyREr92JiYwe4Tk2Nhb//PMPhgwZgpycHOzevRsbNmzA7t27kZWVhcGDB+Pq1ato164dn/m1CtZ2s0JysnTMHBUCAIL/Kq9EkGA5G4rpQ5K1dq66cwe4xTQ3wLNk0b7sl9b7rqoM4zFfXtxcWFOJKOL7s8DV6+TJE9PTJfzR9DmzxOdPE1M+l7oa4BbG9AvmloJA7EBXDMEqpXMVQoyR+AEBSMbIkdo7opraUFnTEBz+/qa1IyL6MWl6i9DQUCxfvhyPHz9GWlqa/N/k5GSsWLFC5zhAhCd37kjHzNHBBmJESc5q7VwVHg48FSoXDcsaUKcgEBUrWi7o0zRYoqy4ma+Rra1N7drFb5qBkqIotgOStc1jIvXvv7GstdpU2jby/b1TCMh/UPUVr9F4r0xJUW/DaMx14hqCw2XDMiQhuNAGYixM1lRwwNvcXi4uLggICICLiwtfSRJ9aSo/5bAV3VHtouYvk+zXiKxouLngGEKh3gDPkJv6s2fcyw29IXL90pKxgRiCe8Z1mbf2wbx4GLPSahXHXnvFYX6stRiI7BsPkb2f+/tvSVzfV2dn/R6oqqWo0h9U6j8cZT+oKjpxf+lkQZFiG0Y+rlMAkuE17XP5UCOK7YiKYiBtzYya1b1atWoGbS8QCHD16lVjDkX0ERgonep86FBALH4/YzoHIRg8JwwFPolR62WlelNJQSCmrAzEkCHq6dy7V/gzPst+aa3EENiolAAVQGT0GERFgWw4pKI8JD3XzdtaZpdW/OxnZBg/2a2m+bFi1L9uVo8FBIIFBKI4PXPv31f+Wzb2D1cAZAMx/DPvAhwlOYrtvlIQqFTaE4BkhOMO7iCcc19tuOZTlLUjuncvsFDuudb+Y5AvRpX8eHp6wsvLS/5ydXXF9evXIRQKlZbLXp6ennznu9gyun1HTAywaRNyft6GifhO+7YGDCzIFfgAxjfuNNVaDMQ3mKm0TAwhhmIlki08LoY5i/YLayJCcxZFc33kitsYl5rmxypO56gvfT5Lht7vnJ1NezCrtsRIQSAWcIz9A0A6cKyGL51q+y5ZG52xmKdUZWW/0bBivzvgHrD2Lspb7J5rKmuq6lLCePDixQsmEAjYkSNH+EjOotLS0hgAlpaWpnGbjAzGpI1spP/XtI5rPZe4OOV9ZK9nz/RMRyEBsUDItqIzk3AlKHuJRIw9fqz1vFRfAXjMmuIoC8Bjvc5LMS3F81B96Upn5kz1fBRAqLQwH0IWgMdMKGRs9Wrd+VE9vqHvmeL53L9v+PutDVc+RSLN56W6j+r5GJofXe+VKWnfuqWeplDI+VE0C32/t4Z8tlWvz+PH0nPS4+tm1LH1TUPT9+/WLePT4frMa8uv6meJKz1t31muPGm7J8nOVRuuzzfXPUUCsJyZ8zSmo3jPHoCf5Pur3nclQu1vPte5PZ+9muVD9N+9TcQGYLVen42FCzV/dw2572p7Dhh6/1ZNT+9nmgEU03/yRPfzW4aXNj8CgaZKFqKLajG5qQkImQRdsVOp2osp/l8oNHhgwaFYbtJMyE5Oxs0PlJwMfKsyxRh391IJyuNusW0bc/GiUcMh8c7U9jlcvaEYAw4eNC1da6JpfixLVnlt3Pj+/3y3QTK0HYrq9sZ+Z5UHFww2qVGwasNlMYQYh+/xqOuXnNsr3nIDkIxVGCq/J6k+CQUSMX7/wbBiv4zuhrcjSk4GxnIXYHGi9kM8NngmxuEqJjc1AbUvIIApmIKu2IbsxEcGPUkDkIw4fKYyE7JhPau0FVVr+xJydWLT1b20pFYxyJjzpjZyJP/pM1b8Alau+bEs6UuFZzgfPxC2bn3/f0ODKT6qPmX3JBkRGFZhsEndwhUbLofgERZgnMZzU7zlauqBKiOGENMXOBl8vWVjoenbc+zMGfV7pTbFZUBOU1DwYyJ9exloYkBHLb0TUP0OFECENRiEHehq8MCCmgbyMrZnlSptX0Kua6Ore2lhtY2RKYzRHHR1dVftXWSuHlRisXlumtYWsJrSdku1sag1jP3DdxukSZOU0zYkmOL6bhr6nY3GGbWJl0VgiMZZnfvGxWlepxpwaDo3xfsS148xpvCvCBKcYR8g4wfr6vJnqfZDXPM08smQaUQp+LEwTQNdAXp+UAIDgd69lb5wp1HfpLEnFGkqaeGrZ9Xx45rXabo2mrqXFlYVg2I1QmHQ9oDh6l00cqR58iESmTaKsabSv8IOWEsa1R8Qpl5vU4IprmBwyRLDvrPGNrJITgZmzDBsH65zU7wvpSBQOuGzSv6YQj5FkKDiIv0jxKwsw/IIAPXrS3+E68sagnJT8NGI2qjg5/Lly0qvf/75BwBw584dtXWyF9GMa6ArvSUnAxs2KM3D9QHOIxpneRl7QlNJiymzuyuaP1/7PUHTteEqFi6MKobkZOVqhMKi6QGjqXeROSxZwv9N0xraxBQ3qtXM8+e//z8f15vvYErX/U+1JPMM6kOiEgKJIcRZRGtNR8+xYJVoOjfFPF9CHc6mBkp/m7l4MzAQWLDAbMlrVKTH6TKmdbVAIGBCoVDpxbVMcbkpfvzxRxYSEsLs7OxYVFQUO3/+vMZtV61axRo2bMjc3d2Zu7s7a9GihdbtVRna20u15boxvb30aV2vMZ2jRzl3aIJjJrXyV+1JEYDHrAu2sa7YygLwWOd5cfVgEwi4z+3YMdOujSk9GAzt7aXhcvPWg0FTPjX1GNLUu8jY/Fy5ov3c9O2ZpLpd5i31njmA7t5HfOKrl6Y5e8Pw0dtL9cV3b6/Zs5U/a5p6a+nT20vXOXN9vgHGBuB9j6gCCNl0fM2a4ih7cUVzzypNaWl6aTs31XulGMo3N7Xetgb0sL1+3bjPkraemnzcK7le+vTW1HbvNZbm3sT69/YyapDDdevW8RuBabF161aMGTMGK1asQL169bB48WLExMTg1q1bKF26tNr2x48fR48ePVC/fn3Y29tj7ty5aNWqFf79918EFOGyvpQUDYMKyiqgFX7+GzK/DJehWI7lGA4BpL+ohmAVPPAGc/EVRJBADCFeT58Lp7m6e0Mo+vRTYNky9eWG1NPyLSXFsNKM8HBpUStj5ssPlzlzuH+ty4rgR4yQ/i0SSUtoZH9r/NxooDoIHB9GOq/BKgzBsf8+O0OwSl4aWRS/kkW5p4wh19vZmXt09u7dgYkTpf+/cUPz50u1etiYUgJNHULWYiBK4xlmYRJEkOBbzMK3mAVWWygd8JWjCDgwUFoKNmaMfsfWdm66MAgghhA2EIOJRBAYUNy2c6dxx7QEiaQID75qfOxVOKKiotiIESPkf4vFYlamTBk2e/ZsvfYvKChgLi4ubP369Xptb60lP1rHw1i9mklE6uNCaPoVqC0fXGNeFHAkJAHYuS7fc6ajqXRk0ybz/goxJh2hUL2UStcvUU0lWKb+mmGMsd9/505X39KxW7eUz0efcVQU8V3ywz0uk0jv8aL4xFfJj6b3yNjPQ2GW/Bg6hhFXaYI+4/xwlbIIBNwlL9pKozSV1nB9ruQvLQMrmaN0pCm4b3hdsI01wTGWeUtz0QjX2Fea7i9U8sOdprElP1bd4DkvLw+XLl1Cy5Yt5cuEQiFatmyJs2d1t+wHgKysLOTn52scZTo3Nxfp6elKL2uktVfFQOk8PPq08blyRfMxUlK4e3eJOLYVAKizYwKeXlDPkKYebCEhmo9tKYY2EDam3YAh+OgNwzW9gr69cfguhdPUW7A8rKh7l4GKQuNsS88KzlViwxh3KY62HoSaOj1o7WLOU/safUv4NHUKOYto/IWmWttHcmVT8f5i6fdRl6VLi2ipD6y8t9fLly8hFovhq9LtydfXF6mpqXql8dVXX6FMmTJKAZSi2bNnw83NTf4KCgoyKc+qRbt8NgjT9p1mAfqNC9GmjeZu03fvAhlw1jh5qCoRJHh2Wj1D2nqwWSNDGgjrGprA1KEPuKol5s3T/wZz9651Ta+gqStwHVy0TIZ4YI6qOtlD7tkl0x5yAUjGXIzDI4UpFgRrje9mbWzXZFn1sD509SDkahCtbZJjvroP6jusgymzu2vL5gCswSOEyN9Hm/XW1V3+1i1g+HBL58KE7vPGFzyZX0pKCgPAzpw5o7R83LhxLCoqSuf+s2fPZh4eHuzq1asat8nJyWFpaWny1+PHj3UWm3E15jV2aHvG9C9m1JaWIUWVmtJ5OnmZ2jDt+RCqNeZj8nUi9uRv7gxx5UdTY8O4ONOvjSlFuYoNhPUpjtVnGHl9i3T1aWCqa8h+1WovYz6DMnxNb6G43Vh8r9YAVFb1VRSrvfhu8Hy023L5964AQnairwH1lAp5GoDVnFVBEpH+1Yz6nJu+01t8+ik/10hTnhQbPb+/X4m0Xj9Dqoa0Vcdx5SkAj1kTHDO4Ub/q/UQg0DDlho4vcmFXexlzjzNmf8PyWEyqvby9vSESifBMpdXds2fP4Ofnp3Xf+fPnY86cOfjzzz+1zkJvZ2cHV1dXpZc2mhrzpqSYd1JDbV1UDZ2FlzNPycnwnfmZ0jDtDMBsTMRg/CT/VcP+27wAIhzushL+dfUv89Q0kvXIkZYb4VfWQNgQvXqZJy98CAiwvukVuLoCF/WqL748vZCMxttGyL93IkgQvX6ovDpZ3/FMBCnJWIUhnFVBArFlrrWmSZH5ojjeVxT+llf7N/tlIC/3E0NL+DSNyqyrBEn1fjJ1Kne1nrm7y5c0Vh382Nraonbt2jhy5Ih8mUQiwZEjRxAdrXlMh++//x4zZszAgQMHUKdOHV7zpKn3wb173FUifA3gxucYNpx5unMHAo5pMr7GbBxEjNpNZtm4h2i9nZ8MWfI7feOG+jJLjV3B16zw5ppewdgZtXVNSVKSpZ7kbhPFVZ2sjeCu5jYwTCC0yLXWt/2YKb3nZAHHRdSVBx6G3k/MPTWlMQODclYX63iYaGvPaYii3JvREFYd/ADAmDFj8NNPP2H9+vVITEzEp59+iszMTPTv3x8A0KdPH0yU9bsEMHfuXHz77bdYu3YtQkNDkZqaitTUVGQYM7MmB01tPsqV427rYujopZpo+xViyIdVU0nAU+dwiDnGThX9N2mo6k1m4BT+ihK0faednLi72/JJtSTPkiVRplINoKyhK7kpbSKKO79G3G2iQl8a2CbK2VltWhvFFGPA3+yxT5/ylhQA/idbNfQHJ9N84Xhh6Hdw2jTu70zeEu1FuOfOmZLL97iGIymWjK91KzxLly5lwcHBzNbWlkVFRbFz587J1zVp0oT17dtX/ndISAiD9P6h9JoyZYpex9Knq7umNj+MWWCQQ2ZY19srV7jTOHpUe9sMPurpVdvWyF7a2vzoe32Mrcc2pmu5PnXrxtaHc6VtSJsf1TQMrVfnq90AVxderjYR1tLmR/U7XRjt0GROd1T/3skaaunbxmrXKO2jb+rbxkqfc1McskJbeoZ8lvhqzygQaB/awRLdwU3poq74ndGVzoEDpudJ11Aehn62tV0rS7f5gfGHL56sdZwfbY3muB40ml6aHqSyxtpb0VV+I5YAbC36GvXB5TonTWPI8HFDNvZmZUwDYX1uoPqOXKxP8GPouakGP4aMI6NPY2590tI3ILeGEZ4N7ajAd/CT9buGwOXYMb3eu8ePGQsSaBn35r9XF2wz+nui+Dp9Wr/zMyTQ+O90Tb7eusadscbgR9vYWoovXT8S+Tg3XSPYG/rZ1natLB38WH21V1Eha5hoTJsIfWhrNOfubnr6gYHA2unJ6IydSvOE9cYvvI0xER4O8FT7aDAnp/dfD8U8qDYQBnRXVT55ovt45pj93BiGNIbnc94yfasdrOE6mbOjgj5YeY5u2wbU3dy5AzxmytUkjGO7LfgEA2B6/ZK/v8lJqOGrbaRsxOGiRN9R1QujOl7XUB7FSQk5zaLP2Nm0DdGtpv4D0vHZKE5XWrLAJS6Ov2MqUh1HRNdEi/rcrArj/eISgGSUOmXcoGiaGvMb4/Bh/baz1HVSZM6OCvpgAcqBi6Fd9GT5V+z9NA7zUKByexdBglUYDOGlC3yfgkmEQv56JAqFRWMQSkVXr+q3XWEE5OYYo81aJz+l4KeIKIyGq1y/QDX1yjH2F7uTk3rpj74NHnUFJYWlbFnd2xj7fqnOh2SIYViGZATBo7N0ULQBWAPhE/1HiNU2MJ0hI81qGg6CM10raJAtm/NJEV8dFfSlGLi8vPjQoC56ig8sWceEBfgSPbFZbVsRGOyb1uO3hTEPYmL4SWfkyKI14nByMjBzpn7bFlZAzud99vbt9/MMqrJ0UGTUxKYEcHQUw9s7X/6wyM/nnr4hN1f6odUkKwuoVUv31A/a0tF0bE3b5uRwr3sk9sbqkPWYhimwgRgFEGEKpsEG3giB8k6hoZrTkeVXNU+yc0hKUl83axbQogWgbfgmrjS50tdFMZ3cXOm/iunqSsfHx7T3S1NeAOlDzNDPUW4uEBWSivmYjxy833kJZkL08Qz8ESKdoHYypiM3t4vGdLy9gblz1UvYOmMHpmOyfFLbyZiOneiiMU/37gH6DpSu73Xig+r7rnjcbt2AH354/3ezZpo/37o+h6rb6jq/9+l54yG8kesD5Px3cG15lilVqhT69hWpPWTOoD7EEECkUgkmYEw650lMjFkjBX0DeT4nx1yyBIiM1Bw7OjmZfgw+GVLaqisgt7ZzA7SXVI0cCbRvr//7rliFz0cPYAFjjKt6uMRKT0+Hm5sb0tLSOAc8ZIwhKSkVCQlvYWv7/pdyYCB3fWxQkPY6VIkEePxYd760pSMWa68LDgh4X7UUGKj5ZpydDTx/DohQABsUoAA2EGuIj405L9k+suOo8vUF7O0NS9OQPHGlI3tIK6arKx1d11vfdPR973WlJZEALx7nwBfa7wgMALy8IbC3A2y431fVcxOhAAFIURoEgQFIQQB8y9igVCn1NAoK9K8W1fc944Pq+654XK731MuLu70UX++banoiFKAUCuDlZ4OUVPX3R1tajo7uCAvzA2PKRXdzMQ7jMZ97p2PHgKZNlRbp00bs/v33pZ8ZGdwP3eRkadCmz4NdJAIePtT8EDR0EFdt6RmSlqZz4zMdruskFHJfN23p8JknfdPRlR9AWvJTsaLm9RwfQY30y1c6AM3Pb0VU8mOg1NRUZGa+RUBAaQCOwH+PhZAQ7l+KoaGagw2xGEhMlP7iVmWDPNghD7mwRQFstaajrTRHljfFEg6uBxYg3UbfXyHa8gNIzy07m3sfTccpVw6wtTUsTUPyxJVOaKj0X8V0daWj63rrm46u89E3LbEYyM/OQyjnSE0ccnOlT3aOyX5Vz80JGQhDrtp2ApRBZp4TvL05k4Gnp37jwej7nvFB9X1XPG52Nvd7GhCg/pnk632Tyc8H7LNfowyeSEdWLxDD0dsLb6B8YbnSYowhKysLz549R//+wNq1yq2Rt6MbxmG++ufCzI1j+CzRMJSsbUxRqP6SVVkqltpNmSJ9FQfaqrUt3T6Lgh8DiMVivH37Fj4+pfHokZfSOk0lFvb22h9aXHzwHMFIkk8x8QghsLf30ZiOrpurnZ3ytpryqiko4qLtvADuc5Ptw3WckBBAR6CucwJSXXniSofrWuhKR9+HdWIiULOm4e8/F12fowLY4xlCEIJH8s8NAM3B0JMn0qhb5cmueow8CGGnkg4DkAcXALaakoGfn37Bj77vGR8Ur7fq90BTMCMQqH9GDHnfMjOB0qW1byOS5KHsf4GPTFk8QSLcIIIYObBHPmw1XisHBwdIJED79s+xZUtpZGW938gZGdyfgTFjOKMDvjoyyBph6xMA8d2WrzAbq+sjJQWoUEHz+r59lYOf3r0tG/wU1gjPjAEHD/I3Ar2hqMGzAfLz8wEADg6OHOv4OUYp5MkDH0D60AnBIyA/z+g0X79+//8bN4AXL0zKosFq1gTq1NH8kIuMlLajKSr4eq/5OqZIJL3GL+GDf1ANBeUq4h9UwyOEaBn1F++LA7UdF7ZK6ciC8Xy8j3b0SMYqvHr1/v/Xryt/DxR/ICjStFxfSUlAno6vriA3Ry1AEQCojERUxG1Uwz/wxgutnwEHB0fY2gLe3sobcU6TIBQCo0ZxpqNPbyJ92paYo9eQPnR1lJP1HDX3qPGK+B7B2twKbYiH/5qeWWo0fQp+jCDg6BLDNUeUNpmZ0mYXdesq/+q0B/eNUGDCE0Y1kn/0SPcNWRNdgYwxDClx4oNIJD0HY8/DEg971Ye1JvmwBXN2QT5s8RI+uA8tXdP0fLLLgqpbkAZVL6EcqZoaIBSGvDxpIKJI8XugqTRSWzWsvnR9XpidvVqQygC1H0APrmdq/AwIBAL5BKiKOKdJWLpKY3TAZ4kJXyU6hpREXLxouZIETSQSyz7kDVWYpWaWnNeRgh8rkwPuGyEz4AlTvbrubYrKr3VrZKmHvTFBawbU53xiAAr8Aw16sufDFu/golTiA/AXIJibtp5bXPgsjdT5eSmlXrrG9QOoEhKR+eiFwZ8BxW70oXiIgr6aowM+hx7gq/rEkHT0nUxVm1u3pKUSfPaeKkoTshf28BPNmuk3oTMfkz4rouDHymiqZkAp/Z8wQqG0hEabovBrXV/BwfyXRmlT2CVVivQJWhWrR7g+T8kIRLYr95gChvS80hYgWKJqUBtN7dw0fQ/4eo+Dg/ULDmWla/e0lNTJSoDyMtSjn4IC7enLxv8pzMlk+XrYF/aow+YYddza2iFZg8K6X2tCwY8V0lXNoEq1OD8pSblqp25dgdrLzk7wX1G5AFOnTsXDhw9hY6O+Xd26Aly7Jp0u+Lff4mFjI0DlypXV8rB9+3YIBAKEyrpP/bd93boC2NgIIBQKERgYiP79++O5Sj/3ffv2oUmTJnBxcYGjoyPq1q2L+Ph4tWPIzkk1sPPyUtvUaNoaKBuDq0u/jDEBgqaHtWJ7FtUqWNXP0zP4mT34tbaSRVtbaSCiyNylVpGRuhs7K8qHLQpgo7XHngCAHUfvO2Orsc1Jn4f9s2e6S1i4BqE0lbZjmjrquOoI8AYO2F1iXLxo2eNTby8r8Py5+qBp+bBVq2LgkpkJvHmjvOzVK+lNV/YFT05+imvXpP+/fn0rZsyYjFu3bsm3d3Z2xsuXLwEAcXGHUbZsFaX03N3fRxdOTk54/vw5zp49i+joaPnyNWvWIFj16QLAyckVt27dgkAgwdWrV9G/f388efIE+/cfxJUrwNatS7Fw4Wh89dVXWL58OWxtbbFnzx4MGzYM169fx3y+73qFLCVFGpxxPWQNDRA0Pay52rOoUvw86VsaoUturuElKpbk5aV8nRS76Ct2CgDef4dMYUzpkazaW1MAxACUcla/uNY4HxOf1Se9ekk7qOnCR1UV39U+N25o7+1VUvFRRWkKK/zKFE2GTvanOLR3t27Anj3q2+jTdufdO+7lilNI+Pn5wdtb+vL0dINAIICfn5/85awwcpSbm5d8W9nLxub9XdzGxgY9e/bE2rVr5cuSk5Nx/Phx9OzZU75MJALCwgAbGwECAvxQpkwZtGnTBiNHjsThw4eRnZ2N1NTHWLx4LEaOHI1Zs2YhIiIC5cuXx9ixYzFv3jwsWLAA58+f130RrJymIMeQAEFbFZM+Yw4p4qukTFv+LVk1aKi8PPVBC/XppaWLYmmcvlSrKQEotwXSEAHzNSebtVIcLdoaAz1tDAmm9Bk4sCix9BQW2hSxj5H10mdMExnVuY8kEun0DqrdL/WpFnFx4V5urtnlAWDAgAHYtm0bsrKyAADx8fFo3bo1fH19de4rHZNEgoKCAhw9ugMFBfkYO1Z9KvGhQ4fC2dkZmzerz09U1PDRrkTbttpGxTanohTgAJoDBEMbQ8uGFtBF3wBK9Xuu2P7nHsoiEZVxCxUhiaymMQI2pCSvsMZx4UtyMvClwi1CIpG+BwqF17zIyOC/obM+ZN3vLXFsczJkjj99mDLvIRcKfoygqe2JvrhGP5VI1LtC6lMt4uQEeHgoL/PyMv5LNHhwfTRu7Kz0UlWzZk2ULVsWO3bsAGMM8fHxGDBggM6079y5gxUrVqBOnTpwcXFBUtJtODu7wZ+j2MzW1hZly5bF7du3jTsRK5KWZt70udqzFAZjSjasyZUr0sBD00eMj6o7fb7DXL1Y8mGLN/DEG3giC054BxetnR40zFbCyZrGnXn7Vvc2XPdLsdg8DZMJfwwZ5VsX1QCYD9TmxwK4Rj8VCtUbxOl78w0Oft/uJzwccHMzPm+bNm0FY+oNmmVkM8ENGDAA69atQ3BwMDIzM/HRRx/hxx9/VNs+LS0Nzs7OkEgkyMnJQcOGDbF69WrjM2gGsmDWXB49kr4nqr/O+QweVNuzFIakJMDdnbvUQVY6cuVK4eaJL3y1i9LnO8wxbBgnPtohAe/HnTFkXtNnz6Rz7/Ht3j3d7WG47pcikekNk/mSkSENYM1xfSzByUl6TqbWHhgyyrcufAZSMlTywxN9Z7EGpDecRYve/y0UAl9/rf7lMaZawVF98GmDBAUFISiovNJLkexG3atXL5w7dw5Tp05F7969YaPhp6eLiwsSEhJw/fp1ZGZm4sSJE6jw390uOLgCMjLS8OTJE7X98vLycO/ePfm2RZ1qCYA+jZTNhc9u6NbWq4svfLSLKl1avwBK34cMH+2QZPQdd8bcVUH6BDCqvb1kvacKezyakuTNG9PbVvE5yrc5hjug4IcnXJM7atO16/v/b9sGdOjAb374oBrQKU7A6unpifbt2+Ovv/7SWuUlFApRvnx5lC1bFg4ODkrrmjfvDBubUli4cIHafitWrEBmZiZ69Ohh0jlYC9USAEMbKfNJ39Gi9WGNvboModrLi0/6ltKkp+ufJl/BpqUnlZTRN4Dp1ev9/61hFGdrbKfj5MTftB18lbToO8q3rnZogYFAly6m50cRBT8WothIlY+ibL68evUKL1+m4uXLVOTlSf/Nzc1BZKR64+r4+Hi8fPkSlSpVMvg4IhHQtm0w5s37HkuWLMakSZNw8+ZN3Lt3DwsXLsT48eMxduxY1KtXj6cz44+hv0C4OuhYqpGyjClTnMjwVTVUWLhKvFR7efFJn5JbQ0sA+Qo2584tuuPOWLqLNBfFAKh0aeXetkVRYQwsqdiAWVc7tORkYMcOfo9PwY+FWOtDIyamJdq08UebNv4IDpb++9dfuzlv5A4ODvAysX5g9OjR2LVrF06ePIk6deogMjISmzZtwvLly612jB99e/sAQMWK3B10LNVIWRFXKYIh56brrReJ9BuuobBYYxWdISWA3t783DdmzuS/8ai5KQYX1lLSUpypVlkZO/CrthId1R582uY/ozY/xGR9+/bDW44uFqGhoWCMoaCA4cIF6SsvT/pvq1afAAD69ePeV2b06NF4+PCh/G9d28u0b98eJ06cQEZGBrKzs3Hx4kX079/fwDOzTtq+sHyOTM3naNHFlTWeryElgH7cM5IYbPRo0/a3xiofIqX4fmRkmFYCpVhlZexozNralXH14NO0PbX5KUacnKTdPC9cAFSawhAdDCmdsDRtD1x9ApaaNfWbt4yv0aKLM2scl4irBFBTOxhrzH9xYKnxfQxh6cEPja1q1NauTDWY0Tb/mTmmOKHgx4Ks8Zeo4pxgRW0kVWuk7YHFZzUMX6NFE/3wGYCrlgAa2nmCT4qlOooBAZX2aFfcr4/s/AwtSdLWoP2bb97/X5/5zxQbvfOBxvmxIPolV7LxGfzyNVp0ccZ3z66iPpYRKf5kQUtmpnlH/TdGjRrv/2+J+c/ot70VEwrfl8LwOdM44Z8h4zzJcAUh5hq7xIgOebywltJDrvm7CCGWExb2/v+WGLPJSm5NxVPNmhS0mIti9ZwlrrFqtQdfVRWK6fD5+eGjtMeaem4ZypLjKvHB0M8CX+O98OX+fdP256pWUq2iK65VTsWVpYcsoGqvYkDx1zXXL21zT99A1FWvblzAwVdJSc2a0t4UV6/yk15RZ0ivqqL+o0XWOJaPKQpI4bOWAE4WXBZXVPJDiJH4bhxevbr1VBMVN7a23FWTxlRXmpsxnwGRSNqD7+ZN63t4UomM8fjqiSYLhosyjlmQTEK3Wp7I2ufo3QMkMxMiGwHq1BVAmM0xrTMhBigK3f8tXW3GVTWpWs1oSjUqX+cnFFr+WvGtpAU/FPhJ8Rl0UfBD1Fi6/Ys2/fr1w8cff2zpbBQ6Q3+9//ZbPHx83Hl/L588eYi6dQW4ejVB7324AqmaNfktlTI10OArD6VKGXe9BQIBdu/ebba8EcK3oh6QVavGPTaQsSj4sULmeDD069cPAoEAAoEAtra2KF++PKZPn46CggKN+1hzUGXNdLUZCQ0NxeLFi82eD8UbhUBgfDqXLh2HjY1A62jdip8vxZeNjQB16wrQvn0ohELgyy+bom5d6XLF7YYNG6aQV+myc+fOKR0jNzcXXl5eEAgEOH78uNr2AoEAbm5uaNCgAY4ePaq07+PHjzF48AC0aVMG0dG2aNcuBF98MQqvXr3Seu5Tp05FDcU+uf95+vQp2rRpo3E/Y9sNmau9kbU1gCaaFfUgRRVfpT9cs8TPnGl8ehT8lCCtW7fG06dPcefOHYwdOxZTp07FvHnzLJ0traRTbmgO0IoyvquqtAWrfA+boPqQ/uGHH/D06VP5CwDWrVuH5OSn+OOPp1i//oJ828GDBytt+/TpU3z//fdK6QcFBWHdunVKy3bt2gVnDS14161bh6dPn+L06dPw9vZG27Ztcf+/Lkb3799HnTp1cPfuHcycuRm7dt3FhAkrcPToEURHR+O1EQMA+fn5wa6QRimtXp1+fBACqM8S37278WlR8GMCvkpGSj3XMvsbj+zs7ODn54eQkBB8+umnaNmyJfbu3QsAWLhwIapWrQonJycEBQVh+PDhyFAI1+Pj4+Hu7o6DBw+icuXKcHZ2lgdTMmKxGGPGjIG7uzu8vLwwfvx4MJXuArm5uRg5ciRKly4Ne3t7NGzYEBcuvH8wHj9+HAKBAH/88Qdq164NOzs7nDp1Cvfu3UOHDh3g6+sLZ2dn1K1bF4cPH9Z6vlevXkWzZs3g4uICV1dX1K5dGxf/m6RGdj779u1DxYoV4ejoiC5duiArKwvr169HaGgoPDw8MHLkSIjFYnmab968QZ8+feDh4QFHR0e0adMGd+7cUfos7N69E1WqVIGdnR1CQ0OxYMEC+f5NmzbFo0eP8MUXX8hLRurUeT/mhbbrCwCrV69G5cqVYW9vj0qVKmHZsmVK6//++2/UrFkT9vb2qFevDsRi6Qh82j6fGzZsQJ06deDi4gI/Pz/07NkTr149R82a0mqzYcOaAQC8vT1Qt64AU6f2U0vDzc0Nfn5+8hcAuLu7w8/PD97efvDweD+ktKOjo9K2fn5+cHV1VUqvb9++2LJlC7Kzs+XL1q5di76qd7//yI4VGRmJ5cuXIzs7G4cOHQIAjBgxAra2tti//0/Urt0Efn7BGD68DQ4fPoyUlBRMmjSJM834+HhMmzYNV69elZcsxcfHA1Cu9pJVLe7cuQ1ffNEIjRo54IMP6uL27du4cOEC6tSpA2dnZ7Rp0wYvXrxQOsbq1asRGVkZDRrYo0uXSli+XPp+CoVAfn4evv/+MwQH+8Pe3h4hISGYPXs2Z165WHMJgqWnlLDma0MKBwU/lrJ+vfy/kd0qw3vPmkLPgoODA/Ly8gAAQqEQS5Yswb///ov169fj6NGjGD9+vNL2WVlZmD9/PjZs2IATJ04gKSkJXypMzbtgwQLEx8dj7dq1OHXqFF6/fo1du3YppTF+/Hjs3LkT69evx+XLl1G+fHnExMSo/fqeMGEC5syZg8TERFSrVg0ZGRn46KOPcOTIEVy5cgWtW7dGu3btkJSUpPH8evXqhcDAQFy4cAGXLl3ChAkTUEqh/3lWVhaWLFmCLVu24MCBAzh+/Dg6duyI/fv3Y//+/diwYQNWrlyJHTt2yPfp168fLl68iL179+Ls2bNgjOGjjz5C/n8TdV26dAndunXDJ598gmvXrmHq1Kn49ttv5Q/NX3/9FYGBgZg+fbpSKYk+13fjxo2YPHkyvvvuOyQmJmLWrFn49ttvsf6/z1JGRgbatm2LiIgIXLp0CVOnTlXaX5P8/HzMmDEDV69exe7du/Hw4UP069cPAODrG4S5c3cCAG7duoWnT59i48YfzF4SUbt2bYSGhmLnTumxk5KScOLECfTu3Vvnvg7/TZaXl5eH169f4+DBgxg+fLh8uYyfnx969eqFrVu3qgXpANC9e3eMHTsWVapUkb9X3bX81Jw2bQq++eYbXL58GTY2NujZsyfGjx+PH374ASdPnsTdu3cxefJk+fay93PGjO+wbVsihg+fhSlTpO+nSAScPr0E587txbZt23Dr1i1s3LgRoaGh+lw+Qqwe3wHos2dAWpoBOzCiJC0tjQFgaWlpauuys7PZjRs3WHZ2tsb9CwoYu3BB+ioo0LDR48eMCYVK43NJhCKWsO+x5n1M1LdvX9ahQwfGGGMSiYQdOnSI2dnZsS+//JJz++3btzMvLy/53+vWrWMA2N27d+XL4uLimK+vr/xvf39/9v3338v/zs/PZ4GBgfLjZmRksFKlSrGNGzfKt8nLy2NlypSR73fs2DEGgO3evVvnOVWpUoUtXbpU43oXFxcWHx/PuY7rfIYOHcocHR3Zu3fv5MtiYmLY0KFDGWOM3b59mwFgp0+flq9/+fIlc3BwYNu2bWOMMdazZ0/24YcfKh1r3LhxLCIiQv53SEgIW7Rokc78qF7fcuXKsU2bNintN2PGDBYdHc0YY2zlypXMy8tL6fO5fPlyBoBduXKF8zpwuXDhAgPA3r59xy5cYGzFCul78ubNG73TAMB27dqltrxJkyasVKlSzMnJSen1yy+/qO27ePFi1qxZM8YYY9OmTWMdO3Zkb968YQDYsWPHOI+VmZnJhg8fzkQiEbt69So7d+6cfH1e3vvvZl6edN+FCxcyAOzZs2ec5zFlyhRWvXp1jedXUMDYnj0PGAC2atVq+frNmzczAOzIkSPyZbNnz2YVK1aU/y17PxXvGdOmvX8/P//8c9a8eXMmkUi0XmvG9Ls3WVJGxvvbXUaGpXNTfJn7OhubvuJ+puRPNZ3799///9kz7c9vVUWi5CcuLg6hoaH/FeXXw99//611++3bt6NSpUqwt7dH1apVsX///kLKqZ7u3JGOQKdAIBHDPvmuWQ+7b98+ODs7w97eHm3atEH37t0xdepUAMDhw4fRokULBAQEwMXFBb1798arV6+QlZUl39/R0RHlypWT/+3v74/nz58DANLS0vD06VPUq1dPvt7GxgZ1FEZXvHfvHvLz89GgQQP5slKlSiEqKgqJiYlKea2jMipjRkYGvvzyS1SuXBnu7u5wdnZGYmKi1pKfMWPGYNCgQWjZsiXmzJmDe/fuKa1XPR9fX1+EhoYqtSvx9fWVn2NiYiJsbGyUztHLywsVK1aU5z8xMVHp/ACgQYMGuHPnjlL1GRdt1zczMxP37t3DwIED4ezsLH/NnDlTfl6yUjJ7hRH9oqOjtR4TkJZWtWvXDsHBwXBxcUGTJk0AQOu1NUWvXr2QkJCg9Grfvr3adv/73/9w9uxZ3L9/H/Hx8RgwYIDGNHv06AFnZ2e4uLhg586dWLNmDapVqyZfzxjTORioqapWfX88X1/f/5ZVVVrG9X66uTmjaVPpa9as9+9nv379kJCQgIoVK2LkyJH4888/+c90IaFqpsJR0q6z4jkaer5WH/xs3boVY8aMwZQpU3D58mVUr14dMTEx8puIqjNnzqBHjx4YOHAgrly5go8//hgff/wxrl+/Xsg51yI8XO3uy4Qi5ASWN+thmzVrhoSEBNy5cwfZ2dlYv349nJyc8PDhQ7Rt2xbVqlXDzp07cenSJcTFxQGAvFoMgFKVESBt98DMNASok8on+csvv8SuXbswa9YsnDx5EgkJCahatapS/lRNnToV//77L2JjY3H06FFEREQoVcNxnQ/XMolKoGou2q6vrP3VTz/9pBQ0XL9+Xa1XlCEyMzMRExMDV1dXbNy4ERcuXJBfI23X1hRubm4oX7680svFxUVtOy8vL7Rt2xYDBw5ETk6O1t5VixYtQkJCAlJTU5GamipvG1S+fHkIBAK14FomMTERHh4e8OFhmnvF90/wX/c61WWyz5I+72etWrXw4MEDzJgxA9nZ2ejWrRu6dOlicj4JKWx8TUXC57hBVh/8LFy4EIMHD0b//v0RERGBFStWwNHREWvXruXc/ocffkDr1q0xbtw4VK5cGTNmzECtWrXw448/FnLOtVDtsycSQbBqJarHBpq1LYWTkxPKly+P4OBg2Ni8n9nk0qVLkEgkWLBgAT744ANUqFABTwwcUcrNzQ3+/v44f/68fFlBQQEuXbok/7tcuXKwtbXF6dOn5cvy8/Nx4cIFREREaE3/9OnT6NevHzp27IiqVavCz88PDx8+1JmvChUq4IsvvsCff/6JTp06qfUgMkTlypVRUFCgdI6vXr3CrVu35PmvXLmy0vnJ8l6hQgWI/ntzbW1tdZYCqfL19UWZMmVw//59tcAh7L/W0pUrV8Y///yDHIWJrHQFRjdv3sSrV68wZ84cNGrUCJUqVVL7YWFjYwsABueZDwMGDMDx48fRp08f+fXj4ufnh/Lly6sFMV5eXvjwww+xbNky5OVlK3VQSE1NxcaNG9G9e3d5sKLKmPdKH/q8nwDg6uqK7t2746effsLWrVuxc+dOo3qnEUKUWXXwk5eXh0uXLqFly5byZUKhEC1btsTZs2c59zl79qzS9gAQExOjcfvc3Fykp6crvQqFYq+VGzeAgQML57gcypcvj/z8fCxduhT379/Hhg0bsGLFCoPTGTVqFObMmYPdu3fj5s2bGD58uNLYME5OTvj0008xbtw4HDhwADdu3MDgwYORlZWFgTrOPzw8HL/++isSEhJw9epV9OzZU2uJTHZ2Nj777DMcP34cjx49wunTp3HhwgVUrlzZ4PNSzEOHDh0wePBgnDp1ClevXsX//vc/BAQEoEOHDgCAsWPH4siRI5gxYwZu376N9evX48cff1RqeBwaGooTJ04gJSUFL1++1Pv406ZNw+zZs7FkyRLcvn0b165dw7p167Bw4UIAQM+ePSEQCDB48GDcuHED+/fvx/z587WmGRwcDFtbW/l7v3fvXsyYMUNpG3//EAgEAuzbtw8vXrxQ6gVojKysLHkJjez15s0bzm1bt26NFy9eYPr06UYf78cff0Rubi5iYmJw4sQJPH78GAcOHMCHH36IgIAAfPfddxr3DQ0NxYMHD5CQkICXL18iNzdXab1IJB18TfZ/Q+h6PxcuXIjNmzfj5s2buH37NrZv3w4/Pz+4u7sbdiBCeGJt1Wqm5Meqg5+XL19CLBbL689lfH19kZqayrlPamqqQdvPnj0bbm5u8leQiZP9GNX9PSDApGOaqnr16li4cCHmzp2LyMhIbNy40aAutTJjx45F79690bdvX0RHR8PFxQUdO3ZU2mbOnDno3LkzevfujVq1auHu3bs4ePAgPDw8tKa9cOFCeHh4oH79+mjXrh1iYmJQq1YtjduLRCK8evUKffr0QYUKFdCtWze0adMG06ZNM/i8FK1btw61a9dG27ZtER0dDcYY9u/fL6/eqFWrFrZt24YtW7YgMjISkydPxvTp0+W9pwBg+vTpePjwIcqVK2dQdcugQYOwevVqrFu3DlWrVkWTJk0QHx8vLylwdnbGb7/9hmvXrqFmzZqYNGkS5s6dqzVNHx8fxMfHY/v27YiIiMCcOXPkAZPss/zRRwGYNm0aJkyYAF9fX3z22WcGXjVlP/30E/z9/ZVePXr04NxWIBDA29sbtra2Rh8vPDwcFy9eRNmyZdGtWzeUK1cOQ4YMQbNmzXD27Fl4cs178Z/OnTujdevWaNasGXx8fLB582aj86FK1/vp4uKC77//HnXq1EHdunXx8OFD7N+/H0KaAI6UYHwFYAJmrkYbPHjy5AkCAgJw5swZpYab48ePx19//aVU/SBja2uL9evXK91Mly1bhmnTpuEZxzCnubm5Sr/m0tPTERQUhLS0NLWxR3JycvDgwQOEhYUpNSo1Smbm+ymXZdMwE0KIEXi9NxFSRKWnp8PNzY3z+a3KRutaC/P29oZIJFILWp49eyYfSE2Vn5+fQdvb2dkV2kithBBCCLE8qy4/tbW1Re3atXHkyBH5MolEgiNHjmjswhsdHa20PQAcOnRIry6/hcraKk8JIYSQEsKqS34A6Vgtffv2RZ06dRAVFYXFixcjMzMT/fv3BwD06dMHAQEB8jYqo0aNQpMmTbBgwQLExsZiy5YtuHjxIlatWmXJ0yCEEEKIlbD64Kd79+548eIFJk+ejNTUVNSoUQMHDhyQN2pOSkpSagBYv359bNq0Cd988w2+/vprhIeHY/fu3YiMjLTUKRBCCCHEilh1g2dL0NZgihoVEkKsEd2bCDGswbNVt/mxVhQvEkKsCd2TCDEMBT8GkI3lojjfFSGEWJrsnqQ6RQohhJvVt/mxJiKRCO7u7vLh/x0dHTUOi08IIebGGENWVhaeP38Od3d3rVOAEELeo+DHQLLxgjRNrEoIIYXN3d1d41hmhBB1FPwYSCAQwN/fH6VLl0Z+fr6ls0MIKeFKlSpFJT6EGIiCHyOJRCK64RBCCCFFEDV4JoQQQkiJQsEPIYQQQkoUCn4IIYQQUqJQmx8VssHC0tPTLZwTQgghhOhL9tzWZ9BPCn5UvHr1CgAQFBRk4ZwQQgghxFDv3r2Dm5ub1m0o+FHh6ekJQDphqq6LR0yXnp6OoKAgPH78WOdcLMR0dL0LF13vwkXXu3BZ2/VmjOHdu3coU6aMzm0p+FEhmyHezc3NKt7MksLV1ZWudyGi61246HoXLrrehcuarre+hRbU4JkQQgghJQoFP4QQQggpUSj4UWFnZ4cpU6bAzs7O0lkpEeh6Fy663oWLrnfhoutduIry9RYwffqEEUIIIYQUE1TyQwghhJAShYIf8v/27j0u5uz/A/hrYqapJuNSmqZWKhSVwlZiCWUqd/oSZVVaty2Xxeb2tblfYr+PkPvXipQly1r3h6Vy+bq0yGUplUgoSReVrnN+f9j5/Po008Wtj+o8H495aM7nfD7n/TnO1JnPOefzoSiKoqgmhXZ+KIqiKIpqUmjnh6IoiqKoJoV2fqrYvHkz2rdvD6FQCHt7e1y/fp3rkBqlJUuWgMfjsV7m5uZch9VoXLhwAUOHDoVUKgWPx8Pvv//O2k4IwU8//QR9fX1oaGjA2dkZSUlJ3ATbCNRW3z4+Pkrt3dXVlZtgG7jVq1fD1tYW2traaNu2LUaMGIHExERWnuLiYvj7+6NNmzYQiURwd3dHZmYmRxE3bHWp7379+im176lTp3IUcd3Qzk8lBw4cwOzZsxEUFISbN2/C2toaLi4uePnyJdehNUoWFhZ48eIF87p06RLXITUahYWFsLa2xubNm1VuDw4OxsaNG7Ft2zZcu3YNWlpacHFxQXFxcT1H2jjUVt8A4Orqymrv+/fvr8cIG4/Y2Fj4+/vj6tWrOHv2LMrKyiCTyVBYWMjk+eGHH3Ds2DFERUUhNjYWz58/x6hRoziMuuGqS30DwKRJk1jtOzg4mKOI64hQDDs7O+Lv78+8r6ioIFKplKxevZrDqBqnoKAgYm1tzXUYTQIAcuTIEea9XC4nEomErFu3jknLzc0l6urqZP/+/RxE2LhUrW9CCPH29ibDhw/nJJ7G7uXLlwQAiY2NJYS8a8t8Pp9ERUUxeR48eEAAkCtXrnAVZqNRtb4JIcTR0ZHMnDmTu6A+AL3y84/S0lLcuHEDzs7OTJqamhqcnZ1x5coVDiNrvJKSkiCVSmFiYgIvLy+kpaVxHVKTkJqaioyMDFZbF4vFsLe3p239M4qJiUHbtm1hZmaGadOmITs7m+uQGoW8vDwA//9Q6hs3bqCsrIzVvs3NzdGuXTvavj+BqvWtEBERAR0dHVhaWmLBggUoKiriIrw6ow82/cerV69QUVEBPT09Vrqenh4SEhI4iqrxsre3R1hYGMzMzPDixQssXboUffr0wb1796Ctrc11eI1aRkYGAKhs64pt1Kfl6uqKUaNGwdjYGCkpKVi4cCHc3Nxw5coVNGvWjOvwGiy5XI5Zs2ahd+/esLS0BPCufQsEArRs2ZKVl7bvj6eqvgHA09MTRkZGkEqluHPnDubNm4fExEQcPnyYw2hrRjs/FCfc3NyYn7t27Qp7e3sYGRnh4MGD8PPz4zAyivr0xo4dy/xsZWWFrl27wtTUFDExMXBycuIwsobN398f9+7do/MF60l19T158mTmZysrK+jr68PJyQkpKSkwNTWt7zDrhA57/UNHRwfNmjVTWhGQmZkJiUTCUVRNR8uWLdGpUyckJydzHUqjp2jPtK1zx8TEBDo6OrS9f4SAgAAcP34c0dHRMDQ0ZNIlEglKS0uRm5vLyk/b98eprr5Vsbe3B4Avun3Tzs8/BAIBevTogXPnzjFpcrkc586dg4ODA4eRNQ0FBQVISUmBvr4+16E0esbGxpBIJKy2np+fj2vXrtG2Xk/S09ORnZ1N2/sHIIQgICAAR44cwfnz52FsbMza3qNHD/D5fFb7TkxMRFpaGm3fH6C2+lYlPj4eAL7o9k2HvSqZPXs2vL298fXXX8POzg4hISEoLCyEr68v16E1OnPnzsXQoUNhZGSE58+fIygoCM2aNcO4ceO4Dq1RKCgoYH3rSk1NRXx8PFq3bo127dph1qxZWLFiBTp27AhjY2MsXrwYUqkUI0aM4C7oBqym+m7dujWWLl0Kd3d3SCQSpKSkIDAwEB06dICLiwuHUTdM/v7+iIyMxNGjR6Gtrc3M4xGLxdDQ0IBYLIafnx9mz56N1q1bo0WLFpg+fTocHBzQs2dPjqNveGqr75SUFERGRmLQoEFo06YN7ty5gx9++AF9+/ZF165dOY6+BlwvN/vSbNq0ibRr144IBAJiZ2dHrl69ynVIjZKHhwfR19cnAoGAGBgYEA8PD5KcnMx1WI1GdHQ0AaD08vb2JoS8W+6+ePFioqenR9TV1YmTkxNJTEzkNugGrKb6LioqIjKZjOjq6hI+n0+MjIzIpEmTSEZGBtdhN0iq6hkA2b17N5Pn7du35PvvvyetWrUimpqaZOTIkeTFixfcBd2A1VbfaWlppG/fvqR169ZEXV2ddOjQgfz4448kLy+P28BrwSOEkPrsbFEURVEURXGJzvmhKIqiKKpJoZ0fiqIoiqKaFNr5oSiKoiiqSaGdH4qiKIqimhTa+aEoiqIoqkmhnR+KoiiKopoU2vmhKIqiKKpJoZ0fivqEwsLCwOPx8Pjx43ov+/Tp07CxsYFQKASPx1N6ttGXxMfHByKRiJOyY2JiwOPxEBMT81nL8fHxQfv27T9rGZ9CeHg4zM3NwefzlZ6ETlGNFe38UJxKTU1FQEAAOnXqBE1NTWhqaqJLly7w9/fHnTt3WHmXLFkCHo8HNTU1PH36VOlY+fn50NDQAI/HQ0BAAACgX79+4PF4tb6WLFlSH6f72WRnZ2PMmDHQ0NDA5s2bER4eDi0tLa7Dor5wCQkJ8PHxgampKXbu3IkdO3ZUm/fcuXOYOHEi81k1MTHBd999hxcvXqjM/7///Q/ffPMNNDU1IZFIMGPGDBQUFLDyxMXFISAgABYWFtDS0kK7du0wZswYPHz4sMa4y8rK0KVLF/B4PKxfv15pu1wuR3BwMIyNjSEUCtG1a1fs379fKV9NvxMGDhzIyrty5UoMGzYMenp6Nf7OOHz4MDw8PGBiYgJNTU2YmZlhzpw5X/SXkaaIPtuL4szx48fh4eGB5s2bw8vLC9bW1lBTU0NCQgIOHz6MrVu3IjU1FUZGRqz91NXVsX//fgQGBrLSDx8+rFTGokWL8N133zHv4+LisHHjRixcuBCdO3dm0r/oZ9DUQVxcHN68eYPly5fD2dmZ63C+aH379sXbt28hEAg+azk7d+6EXC7/rGV8rJiYGMjlcmzYsAEdOnSoMe+8efPw+vVrjB49Gh07dsSjR48QGhqK48ePIz4+nvXE9Pj4eDg5OaFz5874z3/+g/T0dKxfvx5JSUk4deoUk2/t2rW4fPkyRo8eja5duyIjIwOhoaHo3r07rl69CktLS5WxbNq0CWlpadXGumjRIqxZswaTJk2Cra0tjh49Ck9PT/B4PIwdO5bJFx4errTvX3/9hQ0bNkAmk7HS//3vf0MikaBbt244c+ZMtWVPnjwZUqkU48ePR7t27XD37l2Ehobi5MmTuHnzJjQ0NKrdl6pHXD9fg2qakpOTiZaWFuncuTN5/vy50vaysjKyYcMGkpaWxqQFBQURAGTUqFHExsZGaZ+BAwcSd3d3AoD4+/urLDcqKooAINHR0Z/sXCrbvXs3AUBSU1M/y/Grs2fPHgKAxMXF1Zq3sLCwHiKqmbe3N9HS0uI6jCZv6dKlBADJysqqNW9sbCypqKhQSgNAFi1axEp3c3Mj+vr6rOc77dy5kwAgZ86cYdIuX75MSkpKWPs+fPiQqKurEy8vL5VxZGZmErFYTJYtW0YAkHXr1rG2p6enEz6fz/odIJfLSZ8+fYihoSEpLy+v8Tz9/PwIj8cjT58+ZaUrPtNZWVkEAAkKClK5v6rfLYrP586dO2ssm6o/dNiL4kRwcDAKCwuxe/du6OvrK21v3rw5ZsyYga+++kppm6enJ+Lj45GQkMCkZWRk4Pz58/D09PyscVf2999/Y8CAAdDQ0IChoSFWrFih8pv+0aNHMXjwYEilUqirq8PU1BTLly9HRUUFkycoKAh8Ph9ZWVlK+0+ePBktW7ZEcXGxyjj69esHb29vAICtrS14PB58fHyYbZaWlrhx4wb69u0LTU1NLFy4EADw8uVL+Pn5QU9PD0KhENbW1tizZw/r2I8fP2aGFjZv3sxcypfJZHj69CkIIVi+fDkMDQ2hoaGB4cOH4/Xr13Wuw0ePHsHFxQVaWlqQSqVYtmwZSJXHDcrlcoSEhMDCwgJCoRB6enqYMmUKcnJylPItWbIEUqkUmpqa6N+/P+7fv4/27dsz9QGonvOjqKf79++jf//+0NTUhIGBAYKDg1llKPY9ePAgVq5cCUNDQwiFQjg5ObGe6g4oz/mpXJc7duyAqakp1NXVYWtri7i4OKW6iYqKQpcuXSAUCmFpaYkjR4681zyiLVu2wMLCAurq6pBKpfD392cNvbRv3x5BQUEAAF1d3VqHf/v27Qs1NTWltNatW+PBgwdMWn5+Ps6ePYvx48ejRYsWTPqECRMgEolw8OBBJq1Xr15KV+A6duwICwsL1jErmz9/PszMzDB+/HiV248ePYqysjJ8//33TBqPx8O0adOQnp6OK1euVHuOJSUl+O233+Do6AhDQ0PWtrrWe79+/ZTSRo4cCQDVnhNV/+iwF8WJ48ePo0OHDrC3t3/vffv27QtDQ0NERkZi2bJlAIADBw5AJBJh8ODBnzpUlTIyMtC/f3+Ul5dj/vz50NLSwo4dO1Re0g4LC4NIJMLs2bMhEolw/vx5/PTTT8jPz8e6desAAN9++y2WLVuGAwcOMPOVAKC0tBSHDh2Cu7s7hEKhylgWLVoEMzMz7NixA8uWLYOxsTFMTU2Z7dnZ2XBzc8PYsWMxfvx46Onp4e3bt+jXrx+Sk5MREBAAY2NjREVFwcfHB7m5uZg5cyarjIiICJSWlmL69Ol4/fo1goODMWbMGAwYMAAxMTGYN28ekpOTsWnTJsydOxe//PJLrXVYUVEBV1dX9OzZE8HBwTh9+jSCgoJQXl7O/L8CwJQpUxAWFgZfX1/MmDEDqampCA0Nxa1bt3D58mXw+XwAwIIFCxAcHIyhQ4fCxcUFt2/fhouLS7WdxqpycnLg6uqKUaNGYcyYMTh06BDmzZsHKysruLm5sfKuWbMGampqmDt3LvLy8hAcHAwvLy9cu3at1nIiIyPx5s0bTJkyBTweD8HBwRg1ahQePXrEnMuJEyfg4eEBKysrrF69Gjk5OfDz84OBgUGdzmXJkiVYunQpnJ2dMW3aNCQmJmLr1q2Ii4tj6iwkJAR79+7FkSNHsHXrVohEovce/i0oKEBBQQF0dHSYtLt376K8vBxff/01K69AIICNjQ1u3bpV4zEJIcjMzISFhYXStuvXr2PPnj24dOkSeDyeyv1v3boFLS0t1rA2ANjZ2THbv/nmG5X7njx5Erm5ufDy8qoxxveVkZEBAKx6ojjG8ZUnqgnKy8sjAMiIESOUtuXk5JCsrCzmVVRUxGxTDHtlZWWRuXPnkg4dOjDbbG1tia+vLyGE1Muw16xZswgAcu3aNSbt5cuXRCwWKw17VT4HhSlTphBNTU1SXFzMpDk4OBB7e3tWvsOHD9cpXsVwW9VhL0dHRwKAbNu2jZUeEhJCAJB9+/YxaaWlpcTBwYGIRCKSn59PCHl3qR8A0dXVJbm5uUzeBQsWEADE2tqalJWVMenjxo0jAoGAdV6qeHt7EwBk+vTpTJpcLieDBw8mAoGAGYa5ePEiAUAiIiJY+58+fZqVnpGRQZo3b67UppYsWUIAEG9vbyYtOjpaqU4V9bR3714mraSkhEgkEuLu7q60b+fOnVnDNRs2bCAAyN27d1nnaGRkxLxX1GWbNm3I69evmfSjR48SAOTYsWNMmpWVFTE0NCRv3rxh0mJiYggA1jFVefnyJREIBEQmk7GGqUJDQwkA8ssvvzBplT9TH2L58uUEADl37hyTpviMXbhwQSn/6NGjiUQiqfGY4eHhBADZtWsXK10ulxM7Ozsybtw4Qsj/12fVYa/BgwcTExMTpeMWFhYSAGT+/PnVlu3u7k7U1dVJTk5OtXlqG/ZSxc/PjzRr1ow8fPiwzvtQnxcd9qLqXX5+PgCoXOrcr18/6OrqMq/NmzerPIanpyeSk5MRFxfH/FufQ14nT55Ez549mW+TwLuhA1XfGCtfDXrz5g1evXqFPn36oKioiDV0N2HCBFy7dg0pKSlMWkREBL766is4Ojp+cKzq6urw9fVVil8ikWDcuHFMGp/PZ1bkxMbGsvKPHj0aYrGYea+4Yjd+/Hg0b96clV5aWopnz57VKbbKV7kUq/RKS0vx559/Ang39CMWizFw4EC8evWKefXo0QMikQjR0dEA3q1EKi8vZw11AMD06dPrFAfwrj1WHkoRCASws7PDo0ePlPL6+vqyhmv69OkDACrzVuXh4YFWrVpVu+/z589x9+5dZphIwdHREVZWVrUe/88//0RpaSlmzZrFGqaaNGkSWrRogRMnTtR6jLq4cOECli5dylwBVHj79i2Ad+2uKqFQyGxXJSEhAf7+/nBwcGCGchXCwsJw9+5drF27tsa43r59W23ZleOrKj8/HydOnMCgQYM+6ZL/yMhI7Nq1C3PmzEHHjh0/2XGpj0M7P1S909bWBgClZa8AsH37dpw9exb79u2r8RjdunWDubk5IiMjERERAYlEwvoF/Lk9efJE5S8yMzMzpbS///4bI0eOhFgsRosWLaCrq8v8kc3Ly2PyeXh4QF1dHREREcy248ePw8vLq9pL/HVhYGCgNK9CEX/VORyKoYInT56w0tu1a8d6r+gIVZ2TpUivOh9HFTU1NZiYmLDSOnXqBADMfZKSkpKQl5eHtm3bsjrFurq6KCgowMuXL1nxVl2x1Lp1a1ZHoyaGhoZK9dyqVSuV51K1PhRl1OW8a9u3unOpLq0qxf5V26JAIICJiYnS/+2HSEhIwMiRI2FpaYn//ve/rG2Kzn5JSYnSfsXFxdWudsrIyMDgwYMhFotx6NAhNGvWjNmWn5+PBQsW4Mcff1Q5D7Bq+dWVXTm+qn777TcUFxd/0iGvixcvws/PDy4uLli5cuUnOy718eicH6reicVi6Ovr4969e0rbFFcU6nKTQE9PT2zduhXa2trw8PBQ+kP+JcjNzYWjoyNatGiBZcuWwdTUFEKhEDdv3sS8efNYE6RbtWqFIUOGICIiAj/99BMOHTqEkpKSaid21tWnWFpb+Q9RXdJJlUnLH0oul6Nt27ZMh7AqXV3dT1IO8H7n8jHn/bnr7HN7+vQpZDIZxGIxTp48yXyZUVAsYFB1/58XL15AKpUqpefl5cHNzQ25ubm4ePGiUp7169ejtLQUHh4ezO+G9PR0AO86jY8fP4ZUKoVAIIC+vj6io6NBCGF1ZhXxqCofeHeVVSwWY8iQIXWsiZrdvn0bw4YNg6WlJQ4dOsS6Qkpx78v7a0E1CYMHD0ZycjKuX7/+wcfw9PTEixcv8PDhw3od8gIAIyMjJCUlKaUnJiay3sfExCA7OxthYWGYOXMmhgwZAmdn52qvRkyYMAEPHz5EXFwcIiIi0K1bN5UTPz9V/FVXpymG4areW+lzkMvlSsNEipvbKVbWmJqaIjs7G71794azs7PSy9ramhVv1RVX2dnZdboa8yWp7lyqS6tu/6ptsbS0VOV9s95HdnY2ZDIZSkpKcObMGZUrNS0tLdG8eXP89ddfSuXHx8fDxsaGlV5cXIyhQ4fi4cOHOH78OLp06aJ0zLS0NOTk5MDCwgLGxsYwNjZmhgtXrVoFY2Nj3L9/HwBgY2ODoqIipZVVisnoVcsH3nWMoqOj4e7urnLI7H2lpKTA1dUVbdu2xcmTJzm7mzlVPdr5oTgRGBgITU1NTJw4EZmZmUrb6/It2NTUFCEhIVi9ejVr7k19GDRoEK5evcrqvGVlZSldoVB8y698PqWlpdiyZYvK47q5uUFHRwdr165FbGzsR1/1qc6gQYOQkZGBAwcOMGnl5eXYtGkTRCLRR80xeh+hoaHMz4QQhIaGgs/nw8nJCQAwZswYVFRUYPny5Ur7lpeXM0u3nZyc0Lx5c2zdurXa4zcUUqkUlpaW2Lt3L2toODY2Fnfv3q11f2dnZwgEAmzcuJHV7nbt2oW8vLwPXhFZWFiIQYMG4dmzZzh58mS181fEYjGcnZ2xb98+vHnzhkkPDw9HQUEBRo8ezaRVVFTAw8MDV65cQVRUFBwcHFQec8aMGThy5AjrtX37dgDvbilw5MgRGBsbAwCGDx8OPp/P+owRQrBt2zYYGBigV69eSsf/9ddfIZfLP8mQV0ZGBmQyGdTU1HDmzJlPenWS+nTodTiKEx07dkRkZCTGjRsHMzMz5g7PhBCkpqYiMjISampqSvfaqKrqkuyPpVgiHB0drfJ+HQqBgYEIDw+Hq6srZs6cySx1NzIyYj2Wo1evXmjVqhW8vb0xY8YM8Hg8hIeHV9u54/P5GDt2LEJDQ9GsWTPWhORPafLkydi+fTt8fHxw48YNtG/fHocOHcLly5cREhKiNJTxOQiFQpw+fRre3t6wt7fHqVOncOLECSxcuJD5g+Ho6IgpU6Zg9erViI+Ph0wmA5/PR1JSEqKiorBhwwb861//gp6eHmbOnImff/4Zw4YNg6urK27fvo1Tp05BR0fno+ZMcWHVqlUYPnw4evfuDV9fX+Tk5CA0NBSWlpYq58pVpquriwULFmDp0qVwdXXFsGHDkJiYiC1btsDW1vaDO9ReXl64fv06Jk6ciAcPHrCurIhEIowYMYJ5v3LlSvTq1QuOjo6YPHky0tPT8fPPP0Mmk8HV1ZXJN2fOHPzxxx8YOnQoXr9+rTTXTxFr9+7d0b17d9Y2xfCXhYUFq2xDQ0PMmjUL69atQ1lZGWxtbfH777/j4sWLiIiIUDnsGBERAalUWuNnPjw8HE+ePEFRURGAdxO+V6xYAeDdrSoUV9RcXV3x6NEjBAYG4tKlS7h06RJzDD09PaXHZlAc4WaRGUW9k5ycTKZNm0Y6dOhAhEIh0dDQIObm5mTq1KkkPj6elbeuy3LxEUvd58yZQ3g8Hnnw4EGtsd+5c4c4OjoSoVBIDAwMyPLly8muXbuUlrpfvnyZ9OzZk2hoaBCpVEoCAwPJmTNnqo3j+vXrBACRyWS1xqBQ01J3CwsLlftkZmYSX19foqOjQwQCAbGysiK7d+9m5aluObFiyXdUVFSd4qhKcYfnlJQUIpPJiKamJtHT0yNBQUFKdxEmhJAdO3aQHj16EA0NDaKtrU2srKxIYGAg6+7g5eXlZPHixUQikRANDQ0yYMAA8uDBA9KmTRsydepUpdirLnVXVU9Vl6tXd96Keqpcf9Utda9al4QQlUunf/31V2Jubk7U1dWJpaUl+eOPP4i7uzsxNzdX2l+V0NBQYm5uTvh8PtHT0yPTpk1TWsL9PkvdjYyMCACVL1XL7y9evEh69epFhEIh0dXVJf7+/swtFBQUtxio7lWTmuqzoqKCrFq1ihgZGRGBQEAsLCxYt3WoLCEhgQAgs2fPrrG8mmKt3JZqOh9HR8cay6DqD4+QBjLLjqLqgZ2dHYyMjBAVFcVZDLdv34aNjQ327t2Lb7/9lrM4GoPc3Fy0atUKK1aswKJFi7gO56PZ2NhAV1cXZ8+e5ToUimrQ6JwfivpHfn4+bt++zbq7MBd27twJkUiEUaNGcRpHQ6Pq/i0hISEAVD9y4EtWVlaG8vJyVlpMTAxu377d4M6For5EdM4PRf2jRYsWKu8PUl+OHTuG+/fvY8eOHQgICICWlhZnsTREBw4cQFhYGAYNGgSRSIRLly5h//79kMlk6N27N9fhvZdnz57B2dkZ48ePh1QqRUJCArZt2waJRIKpU6dyHR5FNXh02IuivhDt27dHZmYmXFxcEB4eXi+TjhuTmzdvIjAwEPHx8cjPz4eenh7c3d2xYsWKBrfUOC8vD5MnT8bly5eRlZUFLS0tODk5Yc2aNazntlEU9WFo54eiKIqiqCaFzvmhKIqiKKpJoZ0fiqIoiqKaFNr5oSiKoiiqSaGdH4qiKIqimhTa+aEoiqIoqkmhnR+KoiiKopoU2vmhKIqiKKpJoZ0fiqIoiqKaFNr5oSiKoiiqSfk/see9HyvBN/kAAAAASUVORK5CYII=", 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", 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" ] @@ -7167,7 +7355,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -7179,7 +7367,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", + "image/png": 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qVauKPQaen8OHD+PPP/+El5cX/vjjD5F96urqSEtLk3hcSkoK1NXVJe67desWvLy80LZtW5HHzAHg7t272LdvH65evSr2/ZiTuro6UlNTJbadtV8SPz8/cLlc9OnTJ8/6i9P48eNx8eJF7N27F7Vq1RLZV9DzXLlyJbZv346FCxeK3dZau3Ytfvz4gQULFuQZV1bd0rQfGBiIjh074u7du8Lfq127doWOjg4WLFiAYcOGoUaNGjLVmR0R4cCBA3B0dETNmjXzjLusYskPIyLrXvLz58/h7Oxc6PVnJQHPnj3Ltf5nz54BQJ5/RZUXKioqaNCgAW7evImQkBBEREQIe37S09MRFBSEW7duoXr16jAyMsqzrtx6YnKbt4TL5UrcTkSynUQeiqKN/OrMzMwEIBj3Y2JiIlYu+1/1heXy5csYPHgwPDw8sGXLFrH9pqam4PP5iIqKgrGxsXB7Wloafv78CTMzM7Fjnj59is6dO8PR0RHHjh0Ti3vGjBlo2rQprK2theOYsv4QCQ8PR1hYmDBRNDU1RXh4uFgbWdsktZ+cnAx/f3+0atUKFStWlPJKFK0FCxbgn3/+wbJlyySOWzQ1NcXXr1/Ftud1nr6+vvD29sbo0aPFxk3FxsZi0aJFGDNmDOLi4oS9gQkJCSAifPr0CRoaGjA2NoapqalIWznbz5pPDQC2bt2KihUriv1B2blzZ/j4+OD27duoUaOGTHVmFxgYiNDQUCxdulRsX3nBkh9GRPv27cHlcrF//36ZBz3LUv++fftyHfS8d+9eKCsro127dnnWlduHuaWlJZ49e4bMzEyRv3hfv34t3J/X8bmxsbHBixcv8iwjbduyaNq0KZYvX44rV67A0NAQ1atXB4fDgYODA27duoVbt25JdSstqwckJiZG5JZLQXvCAOmuiTyMjIygoaGBN2/eiO17/fo1lJSUYG5uLlOdWbfZjI2N0apVq1zLZf1fhYSEiO2TtC03QUFB6NatG+rVq4cjR45ITK6y/hB48OCBSM/CgwcPkJmZKfaHwvv379GuXTsYGxvj/PnzEge6h4WFITQ0FNbW1mL7OnfuDF1dXeHEiM7Ozrh165bY921QUBA0NDQk3tI+ffo04uPjS8xtk02bNsHHxweTJk2Ct7e3xDLOzs64du2a2K3SrIHzOa/zqVOnMHz4cHTv3h2bNm0Sq+/Xr19ISEjAihUrsGLFCrH91tbW6NKlC06ePIlKlSrByMhI4gST9+7dE2k7MjJS4h8lWQ+QZGRkAIBMdWaXNRFj//79Je4vD9jTXowIc3NzjBgxApcuXZI4u2xmZiZWr14t1ZM8udU/dOhQXLlyRfi0VXZbtmzBf//9By8vL1SuXDnPujQ1NYVPPmXXoUMHREREiMzwmpGRgQ0bNkBLSwtubm4AAA0NDQDId2bcLD169MDTp0/h7+8vti+rV0HatmXRtGlTpKamYt26dWjSpIkwaWvatCn27duHb9++STXeJ+tDP/vTY4mJidizZ4/MMWWR5prIg8vlok2bNjh16pTIU1iRkZE4cOAAmjRpIvbkTn7atm0LHR0dLFmyROJs4lkz45qZmcHR0RF79+5FQkKCcP+NGzfw/Plzqdp69eoVPDw8YGVlhbNnz+Z6W6VFixYwMDAQ+5nYvHkzNDQ04OHhIdwWERGBNm3aQElJCf/++2+uPX7btm2Dv7+/yGv8+PEAgFWrVgnHfABAz549ERkZiRMnTgi3/fjxA0ePHkWnTp0k9h4cOHAAGhoaEsd7FbfDhw9jwoQJGDBgANasWZNruZ49e4LP52Pbtm3Cbampqdi9ezcaNGggkkjfvHkTffv2RbNmzeDn5yfx1qGxsbHYNfb394e7uzvU1NTg7++PWbNmCcv36NEDZ8+exefPn4Xbrl69irdv36JXr17CbdWqVUNkZKTYjNgHDx4EANSuXVvmOrOkp6fj6NGjaNKkicTbzuUF6/lhxKxevRrv37/HhAkTcOLECXTs2BH6+voICwvD0aNH8fr1a/Tt27fA9a9duxavX7/GmDFjcPHiRWEPz7///otTp07Bzc0Nq1evzreeunXr4vDhw5gyZQrq168PLS0tdOrUCSNHjsTWrVsxZMgQPHz4EFZWVjh27BgCAwOxbt064VgidXV11KhRA4cPH0a1atVgYGAAR0dHictxAMD06dNx7Ngx9OrVC8OGDUPdunURHR2N06dPY8uWLahVq5bUbcuiUaNGUFZWxps3bzBy5Ejh9mbNmgk/LKVJftq0aQMLCwt4eXlh+vTp4HK52LVrF4yMjBAWFiZzXIB010ReixYtwuXLl9GkSROMGTMGysrK2Lp1K1JTUyX+tZ0fHR0dbN68GYMGDUKdOnXQt29f4TU4d+4cXF1dsXHjRgCCAcpdunSBq6srhg4dil+/fmHjxo1wdHQUSYgkiY+PR9u2bfHr1y9Mnz4d586dE9lvY2ODRo0aARB8Ly5cuBBjx45Fr169hOO79u/fj8WLF8PAwEB4XLt27fDhwwfMmDEDAQEBCAgIEO6rWLEiWrduDUDw/51TVqLv5uYmckulZ8+eaNiwIYYOHYrg4GAYGhrin3/+AZ/PlziWJTo6GhcuXECPHj3ynF5h0aJFACCcHmHfvn3CeLPfQnr27BlOnz4NQNCrlnU7CQBq1aqFTp065drGvXv3MHjwYFSoUAEtW7YUSeoAoHHjxsLB8g0aNECvXr0wa9YsREVFoWrVqtizZw8+ffqEnTt3Co8JDQ1F586dweFw0LNnTxw9elSkzpo1a6JmzZrQ0NBA165dxWI6efIk7t27J7Zv9uzZOHr0KNzd3TFx4kQkJCRg5cqVcHJywtChQ4Xlxo0bh927d6NTp04YP348LC0tcePGDRw8eBCtW7dGgwYNZK4zy7///oufP3+WmB47hVHgk2ZMMSjIDMxEgkdYd+zYQU2bNiVdXV1SUVEhS0tLGjp0qMhj6gWtPzU1ldauXUt169YlTU1N0tDQoDp16tC6deuEM73mJyEhgfr37y98HDTnJIdDhw4lQ0ND4vF45OTkRLt37xar4/bt21S3bl3i8XhSPXr+8+dPGjduHFWqVIl4PB5VrlyZPD096cePHzK3LU17WerXr08AKCgoSLjty5cvBIDMzc2lqoOI6OHDh9SgQQPi8XhkYWFBa9asyXOSw5zc3NzIzc1NZJs010QS/H+Sw5wsLS3J09NTZNujR4+obdu2pKWlRRoaGuTu7k63b98WKZPb92LWMgs5H7O+du0atW3blnR1dUlNTY1sbGxoyJAh9ODBA5Fyhw4dourVq5Oqqio5OjrS6dOnqUePHlS9evU8zy+3iTSR7bHlnLZt20Z2dnbE4/HIxsaG1q5dKzZlQF515vy/ySmvn9fo6Gjy8vKiChUqkIaGBrm5ueX6c521FIekyf6kjVVSXNJeJ2mPBSD2s5ecnEzTpk0jExMTUlVVpfr164s9yp/1PZPbK7+f29wmOSQSPGLepk0b0tDQID09PRowYABFRESIlXv9+jX17NmTzM3Nhb9/p02bRomJiQWuk0iwvIeKiopw9u3yikNUiKMXGYZhygFnZ2cYGRmJLYjJMEzpwMb8MAzD5CI9PV04uDTL9evX8fTpUzRv3lwxQTEMIzfW88MwDJOLT58+oVWrVhg4cCDMzMzw+vVrbNmyBbq6unjx4gUqVKig6BAZhikANuCZYRgmF/r6+qhbty527NiB79+/Q1NTEx4eHli2bBlLfBimFGM9PwzDMAzDlCtszA/DMAzDMOUKS34YhmEYhilXWPLDlAm+vr7gcDgiswDnxsrKCkOGDCnymBiGYZiSiSU/TKHISj6yv4yNjeHu7o4LFy4oOrxiExcXhwULFqBWrVrQ0tKCuro6HB0d4e3tjW/fvomVP3v2LNq1a4cKFSpATU0N1apVw7Rp0/Dz50+p27x+/brwmj98+FBs/5AhQ3Kdhdff3x/t27eHoaEheDwezMzM0Lt3b/z3338Sy58/fx4cDgdmZmbCBUJzsrKyEvk+0NTUhIuLC/bu3Sv1OeXm69ev6N27N/T09KCjo4MuXbrgw4cPeR4TEBAgjCVrYU9568zu9u3baNKkCTQ0NGBiYoIJEyaIzf788uVL9OrVC1WqVIGGhgYMDQ3RrFkznDlzRqy+nD9H2V9ZszcDgifRcit36NAhkTqbN28ODocjcabkrHpWrVqV77kePnwYAwcOhK2tLTgcTp6P+6empsLb2xtmZmZQV1dHgwYNJM6LlBVbzld+a/sBwOfPn7FgwQK4uLhAX18fhoaGaN68Oa5cuZLvsSNGjACHwxFbF+/nz59YuXIlmjVrBiMjI+jp6aFhw4YiS9bIep41atSQONu5v78/OByOxGVvdu3aBQ6Hg0uXLuV7Lozs2NNeTKH666+/YG1tDSJCZGQkfH190aFDB5w5c0aqxTdLsw8fPqBVq1YICwtDr169MHLkSPB4PDx79gw7d+6Ev78/3r59Kyw/bdo0rF69GrVq1YK3tzcMDAzw6NEjbNy4EYcOHcLVq1dhZ2cnUww+Pj4SP1BzIiIMGzYMvr6+qF27NqZMmQITExOEh4fD398fLVu2RGBgIBo3bixynJ+fH6ysrPDp0yf8999/uS4M6uzsjKlTpwIQrC69Y8cOeHp6IjU1FSNGjJDpnLIkJCTA3d0dsbGxmD17NlRUVLB27Vq4ubnhyZMnEp++yszMxPjx46GpqYnExMRCqTO7J0+eoGXLlrC3t8eaNWvw5csXrFq1Cu/evRNJ+kNDQxEfHw9PT0+YmZkhKSkJx48fR+fOnbF161aRZUv27dsn1s6DBw+wfv16iUtW9OvXT2QxVADCZTNyOnv2LB4+fIi6devmeV652bx5Mx4+fIj69evnm6APGTIEx44dw6RJk2Brayv8XXDt2jU0adJEpGzlypXFVhiXtMJ6TqdOncLy5cvRtWtXeHp6IiMjA3v37kXr1q2xa9cuics7AILr6evrCzU1NbF9d+7cwZw5c9ChQwf8+eefUFZWxvHjx9G3b18EBweLLfchzXk2adIEO3fuRGxsLHR1dYXHBgYGQllZGffv30d6ejpUVFRE9nG53Fz/Lxk5KW5yaaYsyW3a/OjoaFJRUaH+/fsXS/vZl2jIjaTlEwoqPT2dUlNTKT09nWrVqkUaGhp069YtsXKxsbE0e/Zs4fsDBw4QAOrTpw9lZGSIlA0KCiINDQ1ycnKi9PT0fGPImorf2dmZANDDhw9F9kuaan/lypUEgCZNmiS2fAIR0d69e0WW0iASLCeiqalJf//9N9WuXZuGDBkiMR5JS2NERUWRlpYW2dvb53s+uVm+fDkBoHv37gm3vXr1irhcLs2aNUviMZs3b6YKFSrQxIkTCQB9//5d7jqza9++PZmamlJsbKxw2/bt2wkA/fvvv3kem5GRQbVq1SI7O7t82/Hy8iIOh0OfP38WbstaPmPlypX5Hu/m5kYWFhakr69PnTp1EtknSz1hYWHE5/OJiMjBwSHX5TSCgoLE6kxOTiYbGxtq1KiRWGySlsCRxosXL8T+T1NSUqh69epUuXJlicdkZmZSo0aNaNiwYRK/Vz98+ECfPn0SO6ZFixakqqpKCQkJMp/nnj17CACdP39epN6GDRtS//79CQDduXNHZF+1atWodu3aUlwFpiDYbS+mSOnp6UFdXR3KyqKdjImJiZg6dSrMzc2hqqoKOzs7rFq1SmQl8KzueF9fX7F6ORwOfHx88mybiLBo0SJUrlwZGhoacHd3Fy6wmFNMTAwmTZokjKdq1apYvny5yK2d7LcH1q1bBxsbG6iqqiI4OBjHjx/H06dPMWfOHLG/agHBYpqLFy8Wvl+wYAH09fWxbds2cLlckbIuLi7w9vbG8+fPcezYsTzPMbvx48dDX18/3+uSnJyMpUuXonr16li1apVwlfjsBg0aBBcXF5Ft/v7+SE5ORq9evdC3b1+cOHECKSkpUsVmZGSE6tWr4/3791KfT07Hjh1D/fr1Ub9+feG26tWro2XLljhy5IhY+ejoaPz555/466+/oKenVyh1ZhcXF4fLly9j4MCBIivLDx48GFpaWvkez+VyYW5uLlxsNDepqak4fvw43NzcULlyZYllEhMTkZaWlmc92tramDx5Ms6cOYNHjx7lWTY35ubmElc3z+nYsWPgcrkiPVpqamrw8vLCnTt3RFYgz5KRkZHvYrE5OTg4wNDQUGSbqqoqOnTogC9fviA+Pl7smH379uHFixciP4/ZWVtbw9LSUmQbh8NB165dkZqaKnJLVNrzzPqdEBgYKCyXkpKCR48eoXv37qhSpYrIvu/fv+Pt27cSf5cwhYMlP0yhio2NxY8fP/D9+3e8fPkSf/zxBxISEjBw4EBhGSJC586dsXbtWrRr1w5r1qyBnZ0dpk+fjilTphRaLPPmzcPcuXNRq1YtrFy5ElWqVEGbNm3Ebn8kJSXBzc0N+/fvx+DBg/H333/D1dUVs2bNkhjP7t27sWHDBowcORKrV6+GgYGBcEXqQYMG5RvXu3fv8ObNG3Tp0kXkQzO7wYMHAxDcppCWjo6OVB9uAQEBiI6ORv/+/cUSr7z4+fnB3d0dJiYm6Nu3L+Lj46W6xQYIPti+fPkCfX19qdvLLjMzE8+ePRNZiTyLi4sL3r9/L/ZBN3fuXJiYmGDUqFGFVmd2z58/R0ZGhtjxPB4Pzs7OePz4sdgxiYmJ+PHjB96/f4+1a9fiwoULaNmyZa5tAIJxVjExMbmuwr1gwQJoaWlBTU0N9evXz3OMyMSJE6VKkOX1+PFjVKtWTez7OyuhfvLkicj2t2/fQlNTE9ra2jAxMcHcuXORnp5e4PYjIiKgoaEBDQ0Nke3x8fHw9vbG7NmzYWJiInOdAESSLWnPs0qVKjAzMxOuaA8A9+/fR1paGho3bozGjRuLJD+3b98GAJb8FCE25ocpVDnHgKiqqmLXrl0iAzVPnz6N//77D4sWLcKcOXMAAGPHjkWvXr2wfv16jBs3DjY2NnLF8f37d6xYsQIeHh44c+aMsHdjzpw5WLJkiUjZNWvW4P3793j8+DFsbW0BAKNGjYKZmRlWrlwp7KHK8uXLF4SEhMDIyEi47dWrV9DV1RUpl5vg4GAAkDgAMouVlRV0dHTw6tUr6U8awIQJE7B27VosWLAAp06dklgmq04nJyep642KisKVK1ewefNmAICFhQUaNWoEPz8/9OrVS6x8enq6cHBxREQEVqxYgYiICIwdO1am88kSHR2N1NRUmJqaiu3L2vbt2zfhGKlnz55h69atOH/+fK4Jnqx15hQeHi5SNufxt27dEts+depUbN26FQCgpKSE7t27Y+PGjRLrz+Ln5wdVVVX07NlTZLuSkhLatGmDbt26oVKlSvjw4QPWrFmD9u3b4/Tp0/Dw8BCrS0dHB5MmTcL8+fPx6NEj1KlTJ8+2Cyo8PDzf65rFxsYG7u7ucHJyQmJiIo4dO4ZFixbh7du3uQ4yzktISAhOnDiBXr16if3f//XXX1BXV8fkyZNlqjM6Oho7duxA06ZNRc5LlvN0dXXF2bNnhWN7AgMDYW1tDVNTUzRu3FgkIc1KkljyU3RYzw9TqDZt2oTLly/j8uXL2L9/P9zd3TF8+HCcOHFCWCbrA2nChAkix06dOhVEVChPh125cgVpaWkYP368yG2dSZMmiZU9evQomjZtCn19ffz48UP4atWqFfh8Pm7evClSvkePHiKJDyC4BaKtrS1VbFm9CfmV19bWRlxcnFR1ZtHV1cWkSZNw+vRpiT0PWbFK0352hw4dgpKSEnr06CHc1q9fP1y4cAG/fv0SK3/p0iUYGRnByMgITk5O2LdvH4YOHYqVK1fKdD5ZkpOTAQiS6ZyyBq1mlQEESWD79u0lDhAuaJ2yHi/p2EmTJuHy5cvYs2cP2rdvDz6fn+ftqri4OJw7dw4dOnQQu3VnYWGBf//9F6NHj0anTp0wceJEPH78GEZGRsLB5pJk9f7kHLhbmJKTk6W+rjt37sT8+fPRvXt3DBo0CKdOncKIESNw5MgR3L17V6Z2k5KS0KtXL6irq2PZsmUi+96+fYv169dj5cqVEmPLTWZmJgYMGICYmBhs2LBBZJ8s59mkSRMkJycLn8jM/kCBq6sroqKi8O7dO+E+a2trqQZ9MwXDkp883Lx5E506dYKZmRk4HA5Onjwp0/EpKSkYMmQInJycoKysjK5du0osl5qaijlz5sDS0hKqqqqwsrLCrl275D8BBXBxcUGrVq3QqlUrDBgwAOfOnUONGjUwbtw44S/50NBQmJmZiX342tvbC/fLK6uOrJ6cLEZGRmK3Xt69e4eLFy8KP6yzXlm9WFFRUSLlra2txdrT0dHJ8xZJdlnnnV/5+Ph4kWsUEREh8srtg3nixInQ09PL9dZGVhe9tPECwP79++Hi4oKfP38iJCQEISEhqF27NtLS0nD06FGx8lmP+168eBGrVq2Cnp4efv36BR6PJ3Wb2amrqwMQ/KzklDXuKKvM4cOHcfv2baxevbrQ6izI8ZKOrV69Olq1aoXBgwfj7NmzSEhIQKdOnUTGumV3/PhxpKSk5HrLKycDAwMMHToUb968wZcvXySWkSZBlpe6unqBrysAYfImzSPrWfh8vvCJrGPHjoklDhMnTkTjxo1FEnhpjB8/HhcvXsSOHTvEemtlOc/s436ICLdv34arqysAwNHRETo6OggMDERKSgoePnzIen2KGEt+8pCYmIhatWph06ZNBTqez+dDXV0dEyZMyPWRYADo3bs3rl69ip07d+LNmzc4ePCgzI84l1RKSkpwd3dHeHi48K8aaUkaiAsIrmthyszMROvWrYU9VjlfOX9Z5vahFhsbK3EgZ05ZSd6zZ89yLRMaGoq4uDjUqFFDuM3U1FTkldstgfw+3KpXrw5AMGZFGu/evcP9+/cREBAAW1tb4Svrl7Ofn5/YMYaGhmjVqhXatm2LqVOnYv/+/Th58iTWr18vVZs5GRgYQFVVVXirKbusbVkfdtOnT0evXr3A4/Hw6dMnfPr0STio+PPnz8JbEbLUKUnWrY3cjpfmr/aePXvi/v37IlMgZOfn5wddXV2ZponIuvUaHR2da5msBLmoen9MTU0LfF0B6c4hpxEjRuDs2bPw9fVFixYtRPb9999/uHjxIiZOnCj8nvj06RMyMjKQnJyMT58+SexlXbBgAf755x8sW7ZM4ng+Wc6zVq1a0NbWRkBAAF6/fo3o6Ghhz4+SkhIaNGiAgIAA4VgglvwULTbmJw/t27dH+/btc92f1WNz8OBBxMTEwNHREcuXLxdO/KWpqSkcIxEYGCjxqY6LFy/ixo0b+PDhAwwMDAAIxnuUJRkZGQAgfJLD0tISV65cEevZeP36tXA/AGEPTc7rJk3PUFYd7969Q5UqVYTbv3//LnabxsbGBgkJCXkmqPnp1KkTDh48iP3792PWrFl5lq1WrRqqVasmTAYk3X7KmhAw+4dezonTHBwccm1j0qRJWLduHRYsWCB2u6RJkybQ19fHwYMHMXv27HwHPfv5+UFFRQX79u0TKxsQEIC///4bYWFhsLCwyLUODw8PuLm5YcmSJRg1ahQ0NTXzbDMnJSUlODk54cGDB2L7goKCUKVKFeF1/Pz5Mw4cOIADBw6Ila1Tpw5q1aqFJ0+eyFSnJI6OjlBWVsaDBw/Qu3dv4fa0tDQ8efJEZFtusnrvYmNjxfaFh4fj2rVrGDJkiEy3abKeRsp5aza7rATZx8cHnp6eUtctLWdnZ1y7dg1xcXEig4GDgoKE+/MizTlkN336dOzevRvr1q1Dv379xPaHhYUBALp37y627+vXr7C2tsbatWtFbotv2rQJPj4+mDRpEry9vSW2K8t5crlcNGzYEIGBgQgICICOjo7IuLvGjRvj8OHDqFq1KgA23qfIKfI5+9IEAPn7+4tsGz58ODVu3Jhu3rxJISEhtHLlSlJVVaW3b9+KHe/p6UldunQR2/7HH39Qy5Ytydvbm8zMzMjW1pamTp1KSUlJRXQmRSO3eX7S0tLI1taWeDyecC6UkydPEgBasmSJSNk+ffoQh8OhkJAQ4TZDQ0Pq1q2bSLmpU6cSAJo/f75Y+1nz/ERFRZGKigp5eHiIzGMze/ZsAiAyz4+Pjw8BoIsXL4qd169fv4Rz7eQ1H0paWho5OTmRpqYm3b59W2x/XFycyDw/+/fvJwDUv39/sXl+Hjx4QJqamuTo6EhpaWlideWUNc/P0aNHRbZnnVetWrXE5vlZtmwZAaCpU6dKnOdn3759wnl+qlatSi1atJDY9pcvX4jD4dCyZcuE2yTNnUJEdP78eQJAa9euzfecJMmKOfv32OvXr4nL5ZK3t7dwm7+/v9irT58+BID27t1L//33n8x1Egnm/wkNDRXZ1q5dOzI1NaW4uDjhth07dhAAunDhgnBbZGSk2PmkpaVRnTp1SF1dneLj48X2r1mzhgDQ1atXJV6PqKgosW1fvnwhfX19qlmzpsh2SXPpxMTEkJ6ennB+KGnm+ckur3l+7t69K1ZnSkoKVa1alRo0aCDcFhsbSykpKSLHZmZmCv+/ss9ZlZiYSK9evRKb12fFihUEQOTnK6fQ0FCJ3xdGRkZUr1498vf3F/m9c+jQIVJSUqIBAwZI/PmQ9TyzLFiwgABQo0aNqHXr1iL7/v33X+JwONSwYUOqUKFCnu0y8mPJj5RyJj+hoaHE5XLp69evIuVatmwpcXK03JKftm3bkqqqKnl4eFBQUBCdO3eOLC0tc51ArqTKSj7++usv2rdvH+3bt49Wr15NdevWJQA0c+ZMYVk+n0/u7u7E4XBo5MiRtGnTJurSpYtw0r3sZs6cSQDIy8uLNm/eTP369RPWmVfyQ0Q0a9YsAkAdOnSgjRs3kpeXF5mZmZGhoaFI8pOYmEh16tQhZWVlGj58OG3evJlWrVolnBww65dtfpPBvXv3jiwtLUlZWZn69+9PmzZtom3bttHEiRPJyMiIqlWrJlI+a+I9Z2dnWrlyJe3YsYPGjBlDampqVKlSJXr9+rVU1z635OfXr1+kq6tLAMSSHz6fT4MGDSIAVKdOHVqyZAnt2rWLlixZQi4uLgSAbt++Lfzlvm7dulzbr1u3Ljk5OQnf55b8EBE5OjqSubm5SFJnaWlJlpaW+Z5nXFwc2djYkLGxMa1YsYLWrl1L5ubmZGZmJjERyG7+/PkSJzmUpU4AYh/2Dx8+JFVVVapduzZt3ryZ5syZQ2pqatSmTRuRcl27dqUWLVqQj48Pbd++nRYuXEjVq1cnALR69WqJMdetW5fMzMyEkwrmNGTIEGratCn5+PjQtm3baPbs2VShQgXi8Xh07do1kbK5TSSYdV2kTX5u3LhBCxcupIULF5KxsTFZWVkJ39+4cUOkbK9evUhZWZmmT59OW7dupcaNG5OysrJIuWvXrpGJiQlNnjyZNm3aRKtWrSJXV1cCQCNHjhSpL+v7PPvP/YkTJwgA2draCn/vZH9FRETkeT6SvleDgoKIx+ORkZER7dq1S6zO9+/fy3yeWa5evSq83j4+PiL7YmNjSUlJiQCITUTJFD6W/EgpZ/Jz9uxZ4YdK9peysjL17t1b7Pjckp/WrVuTmpoaxcTECLcdP36cOBxOqer9yUo+sr/U1NTI2dmZNm/eLPZXTHx8PE2ePJnMzMxIRUWFbG1taeXKlWLlkpKSyMvLi3R1dUlbW5t69+5NUVFRUiU/fD6fFixYQKampqSurk7NmzenFy9eSJzhOT4+nmbNmkVVq1YlHo9HhoaG1LhxY1q1apXwg1qamXB//fpF8+bNIycnJ9LQ0CA1NTVydHSkWbNmUXh4uFj5kydPUuvWrUlfX59UVVWpatWqNHXqVLEP6bzklvwQ/f5wy5n8ZDl27Bi1adOGDAwMSFlZmUxNTalPnz50/fp1IiIaP348ARD7hZ9dVg/T06dPiSjv5MfX15cA0O7du4XbDA0NqWHDhlKd6+fPn6lnz56ko6NDWlpa1LFjR3r37l2+x+WW/MhSp6Tkh4jo1q1b1LhxY1JTUyMjIyMaO3asSE8QEdHBgwepVatWVLFiRVJWViZ9fX1q1aoVnTp1SmK8r1+/JgA0ZcqUXM/pwIED1KxZMzIyMiJlZWVhL2nOGb6Jck9+sifI0iQ/2ZOlnK/sP49EgpmOp02bRiYmJqSqqkr169cX61398OED9erVi6ysrEhNTY00NDSobt26tGXLFrHfBZKSn7ziASCWBOYk6XtV0u+y7K/s37vSnmeWxMREUlZWJgB06dIlsf01a9YkALR8+fI842bkxyHK5TEDRgSHw4G/v7/wia3Dhw9jwIABePnypdg4CC0tLbEJtIYMGYKYmBixJ8Y8PT0RGBiIkJAQ4bZXr16hRo0aePv2rdjTSgxTlgQHB8PBwQFnz56VOC8NwzBMUWADnguodu3a4PP5iIqKQtOmTQtcj6urK44ePYqEhAThyttv376FkpJSrlPZM0xZce3aNTRq1IglPgzDFCvW85OHhIQEYY9M7dq1sWbNGri7u8PAwAAWFhYYOHAgAgMDsXr1atSuXRvfv3/H1atXUbNmTeEv8+DgYKSlpWHevHmIj4/H2rVrAfx+CiAhIQH29vZo2LAhFixYgB8/fmD48OFwc3PD9u3bFXLeDMMwDFOWseQnD9evX4e7u7vYdk9PT/j6+iI9PR2LFi3C3r178fXrVxgaGgqTmKxHGK2srCQ+mp39sr9+/Rrjx49HYGAgKlSogN69e2PRokX5TgTGMAzDMIzsWPLDMAzDMEy5wmZ4ZhiGYRimXGHJD8MwDMMw5Qp72iuHzMxMfPv2Ddra2rmuLcUwDMMwTMlCRIiPj4eZmRmUlPLu22HJTw7fvn0TLqrHMAzDMEzp8vnz53ynimHJTw7ZF0fMvlAdwzAMwxQ5ImDZMsELAHr3BjZuBGRY3La8ICL4PfNDc6vmqKxbGXFxcTA3N89zQeIsLPnJIetWl46ODkt+GIZhmOKTng6MHg3s2iV4P2sWsGgRkM8tnPIoPjUef5z7AweeH4CruSuueV4T7pNmyAq7oqXY69ev0bBhQ6ipqQknTSwKvr6+0NPTK7L6GYZhyr34eKBTJ0Hio6QEbN4MLFnCEh8JnkQ8Qd1tdXHg+QFwOVx0qtYJXCVu/gdmw65qMfj+/Tt4PB4SExORnp4OTU1NhIWFyV3v/PnzoampiTdv3uDq1auFEKlkffr0wdu3b2U6pnnz5pg0aVLRBJQNn8/H3LlzYW1tDXV1ddjY2GDhwoUik0gOGTIEHA5H5NWuXbsij41hGEZqe/YA//4LaGgAp04JeoAYEUSEzfc3o+GOhngX/Q6VdSrjxpAb8G7iDSWObOkMu+1VDO7cuYNatWpBU1MTQUFBwuUx5PX+/Xt4eHjA0tKyEKLMnbq6eomdbXr58uXYvHkz9uzZAwcHBzx48ABDhw6Frq4uJkyYICzXrl077N69W/held0/ZximJBk7FggJAQYMAOrXV3Q0JU58ajy8TnvhaPBRAEDHah3h28UXFTQqFKg+1vNTDG7fvg1XV1cAQEBAgPDrvGRmZuKvv/5C5cqVoaqqCmdnZ1y8eFG4n8Ph4OHDh/jrr7/A4XDg4+MjsZ7mzZtj3LhxGDduHHR1dWFoaIi5c+eK9Iz8+vULgwcPhr6+PjQ0NNC+fXu8e/dOuD/nbS8fHx84Oztj3759sLKygq6uLvr27Yv4+HgAgp6WGzduYP369cKelk+fPuHXr18YMGAAjIyMoK6uDltbW5GEpCBu376NLl26wMPDA1ZWVujZsyfatGmDe/fuiZRTVVWFiYmJ8KWvry9XuwzDMHK7dw9IThZ8zeEA69axxCcXykrKeP3jNZSVlLG6zWqc7nu6wIkPAIAYEbGxsQSAYmNj5aonNDSUdHV1SVdXl1RUVEhNTY10dXWJx+ORqqoq6erq0h9//JHr8WvWrCEdHR06ePAgvX79mmbMmEEqKir09u1bIiIKDw8nBwcHmjp1KoWHh1N8fLzEetzc3EhLS4smTpxIr1+/pv3795OGhgZt27ZNWKZz585kb29PN2/epCdPnlDbtm2patWqlJaWRkREu3fvJl1dXWH5+fPnk5aWFnXv3p2eP39ON2/eJBMTE5o9ezYREcXExFCjRo1oxIgRFB4eTuHh4ZSRkUFjx44lZ2dnun//Pn38+JEuX75Mp0+fFonV09NTpuu8ePFisrS0pDdv3hAR0ZMnT8jY2Jj2798vLOPp6Um6urpkZGRE1apVo9GjR9OPHz9kaodhGKZQHTlCxOMRde9OlJGh6GhKpMzMTOJn8oXvX31/RXc/3821vCyf3+y2VxExMzPDkydPEBcXh3r16iEoKAiamppwdnbGuXPnYGFhAS0trVyPX7VqFby9vdG3b18Agts7165dw7p167Bp0yaYmJhAWVkZWlpaMDExyTMWc3NzrF27FhwOB3Z2dnj+/DnWrl2LESNG4N27dzh9+jQCAwPRuHFjAICfnx/Mzc1x8uRJ9OrVS2KdmZmZ8PX1FT5SOGjQIFy9ehWLFy+Grq4ueDweNDQ0RGILCwtD7dq1Ua9ePQCCRV+zs7CwgKmpad4XNoeZM2ciLi4O1atXB5fLBZ/Px+LFizFgwABhmXbt2qF79+6wtrbG+/fvMXv2bLRv3x537twBlyvbIDmGYZhCYWws+JfDATIyAPa7SMSv5F8YdnoY6pnWw5xmcwAA1Q2rF1r9LPkpIsrKyrCyssKRI0dQv3591KxZE4GBgahYsSKaNWuW57FxcXH49u2b2O0xV1dXPH36VOZYGjZsKPLoX6NGjbB69Wrw+Xy8evUKysrKaNCggXB/hQoVYGdnh1evXuVap5WVlchcCqampoiKisozjj/++AM9evTAo0eP0KZNG3Tt2lWYcAHA3r17ZT63I0eOwM/PDwcOHICDgwOePHmCSZMmwczMDJ6engAgTCABwMnJCTVr1oSNjQ2uX7+Oli1bytwmwzCM3NzcgNu3AWdnlvjkEPQlCH2O9UFobCj+DfkXw+sMR0WtioXaBhvzU0QcHBygpaWFQYMG4d69e9DS0kLLli3x6dMnaGlpwcHBQdEhykVFRUXkPYfDQWZmZp7HtG/fHqGhoZg8eTK+ffuGli1bYtq0aXLFMX36dMycORN9+/aFk5MTBg0ahMmTJ2Pp0qW5HlOlShUYGhoiJCRErrYZhmGklpQEDB4MvHz5e1vduizxySaTMrH69mo02d0EobGhsNG3wa2htwo98QFY8lNkzp8/jydPnsDExAT79+/HkydP4OjoiHXr1uHJkyc4f/58rsfq6OjAzMwMgYGBItsDAwNRo0YNmWMJCgoSeX/37l3Y2tqCy+XC3t4eGRkZImV+/vyJN2/eFKitLDweD3w+X2y7kZERPD09sX//fqxbtw7btm0rcBsAkJSUJLaGC5fLzTMR+/LlC37+/CnzLTaGYZgCiYoC3N2BffuAbt0Et7kYET+TfqLzwc6YdnkaMjIz0NuhNx6OfIi6ZnWLpD1226uIWFpaIiIiApGRkejSpQs4HA5evnyJHj16SPWhO336dMyfPx82NjZwdnbG7t278eTJE/j5+ckcS1hYGKZMmYJRo0bh0aNH2LBhA1avXg0AsLW1RZcuXTBixAhs3boV2tramDlzJipVqoQuXbrI3FYWKysrBAUFCXu6DAwM4OPjg7p168LBwQGpqak4e/Ys7O3thccMHjwYlSpVyrPXJqdOnTph8eLFsLCwgIODAx4/fow1a9Zg2LBhAICEhAQsWLAAPXr0gImJCd6/f48ZM2agatWqaNu2bYHPj2EYRirv3gHt2gEfPgAGBsDu3YAy++jNLo2fhoY7GyIkOgSqXFWsa7cOo+qOKtLFxdn/QBG6fv066tevDzU1Ndy6dQuVK1eWurdhwoQJiI2NxdSpUxEVFYUaNWrg9OnTsLW1lTmOwYMHIzk5GS4uLuByuZg4cSJGjhwp3L97925MnDgRHTt2RFpaGpo1a4bz58+L3dqSxbRp0+Dp6YkaNWogOTkZHz9+BI/Hw6xZs/Dp0yeoq6ujadOmOHTokPCYsLCwfFfizWnDhg2YO3cuxowZg6ioKJiZmWHUqFGYN28eAEEv0LNnz7Bnzx7ExMTAzMwMbdq0wcKFC9lcPwzDFK07dwSzNv/8CVhbAxcuAHZ2io6qxOFxeZjScArW3l2LI72OwNnEucjb5BBlm/CFQVxcHHR1dREbG1sm1vZq3rw5nJ2dsW7dOkWHwjAMU374+wP9+wMpKUC9esDZs0DFwh+7Ulp9T/yOyMRIOBo7AhDM3pyckQwNFY0C1ynL5zcb88MwDMMwhWnDBqBHD0Hi07EjcP06S3yyufHpBpy3OqPzwc6ISYkBIHhoRp7ER1Ys+WEYhmGYwpCZCUydCkyYABAJ1ufy9wc0NRUdWYnAz+Rj4Y2FaLG3Bb7Ff4Oashp+Jv1USCxszE8Zd/36dUWHwDAMU/alpAgeZT8qWHsKS5cC3t6CSQwZRCREYOCJgbj6UbAI9xDnIdjYfiM0eYpJDFnywzAMwzDyiI0V3N4KCABUVARPdGWbZb68u/rhKgacGIDIxEhoqGhgs8dmDK41WKExseSHYRiGYeShoSG4taWjI7jN1aKFoiMqUdYHrRcObj7S8wjsjezzP6iIsae9cihrT3sxDMMwxSA+Hvj8GZBjctiy6kfSD6wIXAGf5j5FOqiZPe3FMAzDMEXp/Hlg2jTBwGYA0NZmic///RvyL6b8O0X43lDDECtaryjWp7nyw257KQibf4dhGKaUCgsDunYF0tMF63P166foiEqEjMwMzP1vLpYFLgMAuJq7okeNHgqOSrIS3fOzefNm1KxZEzo6OtDR0UGjRo1w4cKFPI85evQoqlevDjU1NTg5OeW5hhYjvU2bNsHKygpqampo0KAB7t27l2f5mzdvolOnTjAzMwOHw8HJkyfFyvD5fMydOxfW1tZQV1eHjY0NFi5ciOx3Yq2srMDhcMReY8eOLexTzJOs5y/tcfldA2muI8MwxczCAli5EvD0BHr2VHQ0JcLn2M9o7ttcmPiMqTcGHtU8FBxVHqgEO336NJ07d47evn1Lb968odmzZ5OKigq9ePFCYvnAwEDicrm0YsUKCg4Opj///JNUVFTo+fPnUrcZGxtLACg2NrawTkMiNzc3mjhxYpG2UVgOHTpEPB6Pdu3aRS9fvqQRI0aQnp4eRUZG5nrM+fPnac6cOXTixAkCQP7+/mJlFi9eTBUqVKCzZ8/Sx48f6ejRo6SlpUXr168XlomKiqLw8HDh6/LlywSArl27JnX8bm5utHv3bhnOWFRBzl/a4/K7BtJcR4ZhikFqKlF4uOi2zEzFxFLCnH1zlgyWGxB8QDpLdejIiyMKiUOWz+8SnfxIoq+vTzt27JC4r3fv3uTh4SGyrUGDBjRq1Cip6y/M5Ofo0aPk6OhIampqZGBgQC1btqSEhAQiEk9+UlJSaPz48WRkZESqqqrk6upK9+7dE+53c3OjsWPH0tixY0lHR4cqVKhAf/75J2Vm++Hj8/m0ZMkSsrKyIjU1NapZsyYdPXpU7vNwcXGhsWPHirRjZmZGS5culer43D60PTw8aNiwYSLbunfvTgMGDMi1rokTJ5KNjY3IeedH3uSnoOcvzXGyXAOW/DCMgsTEELVsSeTgQPTrl6KjKVEW3VhE8AHBB1R3a10K+RmisFhk+fwu0be9suPz+Th06BASExPRqFEjiWXu3LmDVq1aiWxr27Yt7ty5UxwhiggPD0e/fv0wbNgwvHr1CtevX0f37t1FbulkN2PGDBw/fhx79uzBo0ePhKuOR0dHC8vs2bMHysrKuHfvHtavX481a9Zgx44dwv1Lly7F3r17sWXLFrx8+RKTJ0/GwIEDcePGDQCAr6+vzKvkpqWl4eHDhyLXVUlJCa1atZL7ujZu3BhXr17F27dvAQBPnz5FQEAA2rdvn2ss+/fvx7Bhw4p0td+cbRbk/KU9TtZrwDBMMfvyBWjaFLh6Ffj0CXj5UtERlSgulVzAAQcTXCYgcFggbAxsFB2SdIo+F5PPs2fPSFNTk7hcLunq6tK5c+dyLauiokIHDhwQ2bZp0yYyNjbO9ZiUlBSKjY0Vvj5//lwoPT8PHz4kAPTp0yeJ+7P3/CQkJJCKigr5+fkJ96elpZGZmRmtWLFCWN7e3l6kx8Pb25vs7e2F56GhoUG3b98WacfLy4v69etHREQnTpwgOzs7mc7j69evBECs3unTp5OLi4tUdSCXHgs+n0/e3t7E4XBIWVmZOBwOLVmyJNd6Dh8+TFwul75+/Zpne4sXLyZNTU3hS0lJiVRVVUW2hYaGShV7Qc9f2uNkuQa5XUeGYYrI06dElSoRAUQmJkQPHyo6ohIhIj5C5P2r768UFImoMtXzY2dnhydPniAoKAh//PEHPD09ERwcXGj1L126FLq6usKXubl5odRbq1YttGzZEk5OTujVqxe2b9+OX79+SSz7/v17pKenw9XVVbhNRUUFLi4uePXqlXBbw4YNRXo8GjVqhHfv3oHP5yMkJARJSUlo3bo1tLS0hK+9e/fi/fv3AIBu3brh9evXhXJ+heHIkSPw8/PDgQMH8OjRI+zZswerVq3Cnj17JJbfuXMn2rdvDzMzszzrHT16NJ48eSJ81atXD3/99ZfItvzqKC6yXgOGYYrJ1auCHp+vXwF7e+DuXaBOHUVHpVCpGamYdHES7Dba4X30e+H26obVFRhVwZT4R915PB6qVq0KAKhbty7u37+P9evXY+vWrWJlTUxMEBkZKbItMjISJiYmudY/a9YsTJnyez6CuLi4QkmAuFwuLl++jNu3b+PSpUvYsGED5syZg6CgIFhbW8tdf04JCQkAgHPnzqFSpUoi+1RVVQtcr6GhIbhcrszXVRrTp0/HzJkz0bdvXwCAk5MTQkNDsXTpUnh6eoqUDQ0NxZUrV3DixIl86zUwMICBgYHwvbq6OoyNjYXfR7Io6PlLe5ws14BhmGKybx8wbBiQkQE0awacPAno6ys6KoV6H/0efY71wcPwhwCAiyEXMdaleJ+6LUwlvucnp8zMTKSmpkrc16hRI1y9elVk2+XLl3MdIwQIEoOsR+mzXoWFw+HA1dUVCxYswOPHj8Hj8eDv7y9WzsbGBjweD4GBgcJt6enpuH//PmpkmzQrKChI5Li7d+/C1tYWXC4XNWrUgKqqKsLCwlC1alWRlzzJHI/HQ926dUWua2ZmJq5evZrndZVGUlISlJREvwW5XC4yMzPFyu7evRvGxsbw8CjeRycLev7SHifLNWAYpogRAYsXCxYozcgA+vQBLl0q94nP0ZdHUWdbHTwMfwgDdQOc7Xe2VCc+AEr2mJ+ZM2fSjRs36OPHj/Ts2TOaOXMmcTgcunTpEhERDRo0iGbOnCksHxgYSMrKyrRq1Sp69eoVzZ8/X2GPut+9e5cWL15M9+/fp9DQUDpy5AjxeDw6f/48EYk/7TVx4kQyMzOjCxcu0MuXL8nT05P09fUpOjpaWF5LS4smT55Mr1+/pgMHDpCmpiZt2bJFWMecOXOoQoUK5OvrSyEhIfTw4UP6+++/ydfXl4gKNuaHSPDItqqqKvn6+lJwcDCNHDmS9PT0KCLi933fDRs2UIsWLYTv4+Pj6fHjx/T48WMCQGvWrKHHjx+LjLXx9PSkSpUqCR/zPnHiBBkaGtKMGTNE2ufz+WRhYUHe3t5SxRsfHy/yeLykV0ZGRpGev7TH5XcNpLmODMMUgvR0ohEjBON7AKLp04n4fEVHpVDJ6cn0x9k/hE9zue50pbCYMEWHlasy86j7sGHDyNLSkng8HhkZGVHLli2FiQ+RICHw9PQUOebIkSNUrVo14vF45ODgkOcAaUkKK/kJDg6mtm3bCh9dr1atGm3YsEEk9uzJT3JyMo0fP54MDQ1zfdR9zJgxNHr0aNLR0SF9fX2aPXu2yADozMxMWrduHdnZ2ZGKigoZGRlR27Zt6caNG0REtHv3bipovrthwwaysLAgHo9HLi4udPfuXZH98+fPJ0tLS+H7a9euEQCxV/b/r7i4OJo4cSJZWFiQmpoaValShebMmUOpqakidf/7778EgN68eSNVrPPnz5fYdvbXx48fi/T8pT0uv2sgzXVkGEZO8fFE7dsLkh4lJaKNGxUdUYmwPGC5MPGZdWUWpWWkKTqkPMny+c0WNs2hpC5sypbDYBiGKSLDhwM7dwLq6sDBg0CXLoqOqERI46eh2+FuGO8yHu2qtlN0OPliC5syDMMwjLQWLwYaNACuXSvXiU9yejJWBq5ERmYGAIDH5eFc/3OlIvGRVYl/2othGIZhCt2XL0DlyoKvK1YE7twBimny1JLo1fdX6H2sN15EvUBMSgwWt1ys6JCKFEt+Sonr168rOgSGYZiy4ehRYNAgYMsWYMgQwbZynPjsfboXf5z7A0npSaioWREtrFsoOqQix257MQzDMOXLo0dAaipw/rzg2a5yKjEtEUNPDYXnSU8kpSehpXVLPBn9BC2rtFR0aEWO9fwwDMMw5cvixYJZmwcMKLc9PsHfg9HzSE+8+vEKShwlLGi+ALOazAJXiavo0IoF6/lhGIZhyrbkZGD+fCAlRfBeSUkwkSG3fHzQS8IBB6GxoTDTNsN/g//Dn83+LDeJD8B6fhiGYZiy7McPoFMnwdpcHz4Ilq4op/iZfGGCY29kj5N9TsLZxBlGmkYKjqz4sZ4fhmEYpmx6/x5o3FiQ+OjpASNGKDoihXkS8QQ1t9REQFiAcFtrm9blMvEBWPJTpJo3b45JkyYpOgyGYZjyJygIaNQIePcOsLQEbt8WLFJazhARNt/fjIY7GiL4ezBmXJ4BNrcxS36K1IkTJ7Bw4UKpy5fGZKkwY7558yY6deoEMzMzcDgcnDx5UqrjNm3aBCsrK6ipqaFBgwa4d++eWJmvX79i4MCBqFChAtTV1eHk5IQHDx4UStySSHsuxR1XTlZWVuBwOGKvsWNzX7SQz+dj7ty5sLa2hrq6OmxsbLBw4UKRX6g+Pj5idVavXr1Iz0XW759ly5aBw+GUup85RgqnTgHu7sD370CdOoI5fOztFR1VsYtNiUXf430x5vwYpPJT0bFaR5zpdwaccjrIOzuW/BQhAwMDaGtrF3u7aWlpxd5mYUhMTEStWrWwadMmqY85fPgwpkyZgvnz5+PRo0eoVasW2rZti6ioKGGZX79+wdXVFSoqKrhw4QKCg4OxevVq6MuxUnPz5s3h6+sr17kURlz5xZGf+/fvIzw8XPi6fPkyAKBXr165HrN8+XJs3rwZGzduxKtXr7B8+XKsWLECGzZsECnn4OAgUndAQEAuNUqnMK55lvv372Pr1q2oWbOmXDExJdCmTUD37oJBzu3bAzduAKamio6q2D389hB1ttXBkZdHoKykjNVtVuN039OooFFB0aGVDEW7zFjpU1gLmxKJLl7q5uZG48ePp+nTp5O+vj5VrFiR5s+fLyzr6emZ6+KbfD6flixZQlZWVqSmpkY1a9ako0ePirQzduxYmjhxIlWoUIGaN28uPG758uVkY2NDPB6PzM3NadGiRVLVmb3esWPHko6ODlWoUIH+/PNP4WKqecUsLwDk7++fbzkXFxcaO3as8D2fzyczMzNaunSpcJu3tzc1adIkz3qkuR7Zubm50e7du/ONjyj3c5EmrvzIEoc0Jk6cSDY2NiIL5ubk4eFBw4YNE9nWvXt3GjBggPD9/PnzqVatWnm2pYhrTkQUHx9Ptra2dPnyZbEFhplSjM8nmjHj96rsw4cLVmovh55HPifeQh7BB2S51pLufr6b/0FlgCyf36znpxjt2bMHmpqaCAoKwooVK/DXX38J/9Jev349GjVqhBEjRgj/UjY3NwcALF26FHv37sWWLVvw8uVLTJ48GQMHDsSNGzdE6ubxeAgMDMSWLVsAALNmzcKyZcswd+5cBAcH48CBA6hYsaLUdWbVq6ysjHv37mH9+vVYs2YNduzYkWfMvr6+xdKtmpaWhocPH6JVq1bCbUpKSmjVqhXu3Lkj3Hb69GnUq1cPvXr1grGxMWrXro3t27eL1CXt9ShM0sRVnNLS0rB//34MGzYsz/+/xo0b4+rVq3j79i0A4OnTpwgICED79u1Fyr179w5mZmaoUqUKBgwYgLCwMJH9irjmADB27Fh4eHiIfN8wpVxqqmDOnhUrBO8XLgS2bQOUy+cDzQ5GDuhs1xldq3fF41GP0aByA0WHVPIUQzJWqhRlz0/Ov/Lr169P3t7eEstnSUlJIQ0NDbp9+7bIdi8vL+rXr5/wuNq1a4vsj4uLI1VVVdq+fbtYXNLUmVWvvb29SC+At7c32dvb5xnziRMnyM7OTqxdWUCKnp+vX78SALHzmD59Orm4uAjfq6qqkqqqKs2aNYsePXpEW7duJTU1NfL19SUi6a9HdoXRC5FfXJIsXryYNDU1hS8lJSVSVVUV2RYaGipVXDkdPnyYuFwuff36Nc9yfD6fvL29icPhkLKyMnE4HFqyZIlImfPnz9ORI0fo6dOndPHiRWrUqBFZWFhQXFwcESnumh88eJAcHR0pOTlZWCfr+SnloqOJ3NwEvT3KykR79ig6IoW4//U+xSTHCN8npyfn2YNbFsny+V0+02IFyTm+wNTUVGRsiiQhISFISkpC69atRbanpaWhdu3awvd169YV2f/q1SukpqaiZUvxacqlrRMAGjZsKNIL0KhRI6xevRp8Ph/cXCYI69atG7p165bneRWnzMxM1KtXD0uWLAEA1K5dGy9evMCWLVvg6ekp1fVYsmSJ8HgASE5Oxt27dzFu3DjhtuDgYFhYWBRaXJKMHj0avXv3Fr4fMGAAevToge7duwu3mZmZSR1Ddjt37kT79u3zPf7IkSPw8/PDgQMH4ODggCdPnmDSpEkwMzMTxp29F6hmzZpo0KABLC0tceTIEXh5eSnkmn/+/BkTJ07E5cuXoaamJtUxTCkQHQ0EBwPa2sCJE0A569EjIqy9uxbeV7zRtXpXHOl5BBwOB2rK7Hs8Lyz5KUYqKioi7zkcDjIzM/M8JiEhAQBw7tw5VKpUSWSfqqqq8GtNTU2Rferq6nLXWdIZGhqCy+UiMjJSZHtkZCRMTEyE701NTVGjRg2RMvb29jh+/DgA6a5HUSQd+cUliYGBAQwMDITv1dXVYWxsjKpVq8rUdk6hoaG4cuUKTpw4kW/Z6dOnY+bMmejbty8AwMnJCaGhoVi6dGmuSZuenh6qVauGkJAQAIq55g8fPkRUVBTq1Kkj3Mbn83Hz5k1s3LgRqampuSb0TAlmYwOcOweoqgLlbAB7dHI0hpwcgjNvzwi3pfJTWeIjBZb8lCA8Hg98Pl9kW40aNaCqqoqwsDC4ublJXZetrS3U1dVx9epVDB8+vMB1BgUFiby/e/cubG1thR8SkmIuLjweD3Xr1sXVq1fRtWtXAILelKtXr4r0Dri6uuLNmzcix759+xaWlpYApLseRZF05BdXcdq9ezeMjY3h4eGRb9mkpCQoKYkOF+RyuXkm8gkJCXj//j0GDRoEQDHXvGXLlnj+/LnItqFDh6J69erw9vZmiU9p8u+/AJ8PdOggeF+/vmLjUYDbn2+j77G++Bz3GapcVaxtuxaj641mj7FLSabkJykpCW/evEHVqlXFHuEODAyEq6troQZX3lhZWSEoKAifPn2ClpaW8FH5adOmYfLkycjMzESTJk0QGxuLwMBA6Ojo5PqXtpqaGry9vTFjxgzweDy4urri+/fvePnyJby8vKSuMywsDFOmTMGoUaPw6NEjbNiwAatXr84z5lOnTmHWrFl4/fq1TOefkJAg7BkAgI8fP+LJkycwMDAQ3trYuHEj/P39cfXqVQDAlClT4OnpiXr16sHFxQXr1q1DYmIihg4dKqxn8uTJaNy4MZYsWYLevXvj3r172LZtG7Zt2wYABb7G8p5LfnHlVm9WrwkAHDp0CAAQEREh3GZkZCTTB3lmZiZ2794NT09PKEsYIJrzmnfq1AmLFy+GhYUFHBwc8PjxY6xZswbDhg0THjNt2jR06tQJlpaW+PbtG+bPnw8ul4t+/foBUMw119bWhqOjo8gxmpqaqFChgth2pgS7cQPw8ADU1AQTGTo4KDqiYpVJmVgZuBJz/psDPvFha2CLI72OwNnEWdGhlS7SDiS6c+cOGRoakpmZGamrq9PChQtF9mtra8s8OKkkKsoBzzkHVnbp0oU8PT2F79+8eUMNGzYkdXV1kcfGMzMzad26dWRnZ0cqKipkZGREbdu2pRs3buRaN5FgYOqiRYvI0tKSVFRUyMLCQjgwNb86s+odM2YMjR49mnR0dEhfX59mz54tMohOUsy7d+8mGb61hK5duyb26DwAkWs0f/58srS0FDluw4YNZGFhQTwej1xcXOjuXfHHOs+cOUOOjo6kqqpK1atXp23btonsl+Z6ZJff4FtpzkWauHKaP3++xHqzv2SdbuDff/8lAPTmzZtc28x+zePi4mjixIlkYWFBampqVKVKFZozZw6lpqYKy/Tp04dMTU2Jx+NRpUqVqE+fPhQSEiJSr6Kuec462YDnUiYtjah1a6JBg4iyfc+VF9FJ0VRpdSWCD6j/8f4UlxKn6JBKDFk+vzlE0s1z3bhxY0ycOBF9+vTBu3fvMGjQIFSrVg179uwBh8OBtrY24uPjCyEdU6y4uDjo6uoiNjYWOjo6ig5HoZo3bw5nZ2esW7dO0aEwDFOepacLVmLP6tFMThb0/JTTWzy3Qm/h7c+3GFY772kpyhtZPr+lnucnODgYffr0ASAYT3L9+nVER0ejW7dupXZGYYZhGKaEi4sDOnYEJk4UTF8IAOrq5Sbx4WfysejmIux7+ns1+qaWTeFVx4slPnKQOvnR1dXF169fhe/V1NRw8uRJqKuro23btvk+tcQwDMMwMvn2TbAY6aVLgK8v8PGjoiMqVpEJkWjn1w5zr83F6HOj8S3+m6JDKjOkTn5atWqF3bt3i2xTVlbGgQMHULVqVSQnJxd6cIxiXb9+nd3yYhhGMV6+BBo2BJ4+BSpWFAx0rlJF0VEVm/8+/odaW2rhyocr0FDRwD8d/oGZdsHm8GLEST3mJy0tDRkZGdDQ0JC4PywsTKYJ3koqNuaHYRhGwa5dA7p1A2JjATs74MIFwNpa0VEVC34mH3/d+AsLby4EgeBo7IgjPY/A3qj8rUovK1k+v6V+1J3H44HH4+W6vywkPgzDMIyCHTgADBkiGOTcpAlw6hSQbb6nsiwjMwNt97fFfx//AwAMrz0c69uvh4aK5E4HpuAKZZLDgIAA7Nq1Cx8+fMCvX7+QszOJw+Hg6dOnhdEUwzAMUxYRAcuXA7NmCd736gXs3St4qqucUFZSRsNKDXHv6z1s7bgV/Z36KzqkMkvu5GfNmjWYPn061NTUYGdnJzIjK8MwDMPkKyMDmDAB2LxZ8H7KFGDlSsHj7WVcRmYGopOjYaxpDABY4L4AXnW8UEW//IxvUgSpx/zkxtTUFLa2tjhz5gx0dXULKy6FYWN+GIZhilFiItCvH3DmjODx9XXrBIlQOfAl7gv6He+HlIwUBA4LBI+b+9ASJn9FMuYnN0lJSRgwYECZSHwYhmGYYkQEdO4M/Pef4PaWnx+QbeHasuzc23PwPOmJn8k/oaOqgxdRL1DHtE7+BzKFQu4+RXd3d7HFAhnpfP78Gc2bN0eNGjVQs2ZNHD16VNEhMQzDFB8OB5g2TfAo+9Wr5SLxSeenY/ql6eh4sCN+Jv9EXdO6eDTyEUt8ipnct70+f/6MNm3awMvLC8OGDSv1Y36K87ZXeHg4IiMj4ezsjIiICNStWxdv376FpqZmkbbLMAyjUKmpgKrq7/eJiUA5+L0XGhOKvsf74u6XuwCACS4TsKL1Cqgqq+ZzJCONIlneIjfm5uYYNWoUZs6cCSMjI2hqakJHR0fkxW6JSWZqagpnZ2cAgImJCQwNDREdHa3YoBiGYYrS8eOArS0QEvJ7WzlIfABg+JnhuPvlLvTU9ODfxx/r269niY+CyJ38zJs3D1OnToWZmRm6dOmC3r17o0ePHiKv7uWgK1OSIUOGgMPhgMPhQEVFBdbW1pgxYwZSUlLEyj58+BB8Ph/m5ubFHuemTZtgZWUFNTU1NGjQAPfu3SuUY75+/YqBAweiQoUKUFdXh5OTEx48eCB32wzDlFJ8vuBx9s+fgfXrFR1NsdvisQVtbNrg8ajH6Fq9q6LDKd/kXULeyMiIOnXqRHw+X96qSoTY2FgCQLGxsXLX5enpSe3ataPw8HAKCwsjf39/0tHRoRkzZoiU+/nzJ9WoUYMCAwPlblNWhw4dIh6PR7t27aKXL1/SiBEjSE9PjyIjI+U6Jjo6miwtLWnIkCEUFBREHz58oH///ZdCQkLkapthmFIuPJxo3jyijAxFR1Lk3ke/p20Ptik6jHJDls9vuZMfXV1d2rJli7zVlBiFnfx06dJFZFv37t2pdu3awvcpKSnUtGlT2rt3r9ztFYSLiwuNHTtW+J7P55OZmRktXbpUrmO8vb2pSZMmhd42wzClTHIy0YkTio6i2B19eZR0luoQx4dDl0IuKTqcckGWz2+5b3t17NgRt27dkreacuHFixe4ffu2cJkQIsKQIUPQokULDBo0KN/jlyxZAi0trTxfYWFhUseTlpaGhw8folWrVsJtSkpKaNWqFe7cuSPXMadPn0a9evXQq1cvGBsbo3bt2ti+fbtcbTMMU8r8/Am0aiV4imvvXkVHUyxSMlIw9txY9DraC3GpcWhs3hjVDasrOiwmB7nn+Zk/fz769OmDMWPGwMvLCxYWFuByuWLlSvtTYAV19uxZaGlpISMjA6mpqVBSUsLGjRsBAIGBgTh8+DBq1qyJkydPAgD27dsHJycniXWNHj0avXv3zrM9MzPpV/398eMH+Hw+KlasKLK9YsWKeP36tVzHfPjwAZs3b8aUKVMwe/Zs3L9/HxMmTACPx4Onp2eB2mYYphT58AHo0AF48wbQ1QXKwfqP736+Q59jffA44jEAYKbrTPzl/hdUuCoKjozJSe7kx87ODgDw5MkTbN26NddyfD5f3qZKJXd3d2zevBmJiYlYu3YtlJWV0aNHDwBAkyZNkJmZKXVdBgYGpSaJzMzMRL169bBkyRIAQO3atfHixQts2bIFnp6eCo6OYZgidf8+0LEjEBUFmJsLVmV3cFB0VEXq6MujGHZ6GBLSEmCoYYh93fahXdV2ig6LyYXcyc+8efPA4XAKI5YySVNTE1WrVgUA7Nq1C7Vq1cLOnTvh5eUlc11LliwRJhO5CQ4OhoWUf2EZGhqCy+UiMjJSZHtkZCRMTEzkOsbU1BQ1atQQKWNvb4/jx48XuG2GYUqBs2eBPn2ApCTA2Rk4dw6QoUe6tEpMT0RCWgLcLN1woMcBmGmX/XMuzeROfnx8fAohjPJBSUkJs2fPxpQpU9C/f3+oq6vLdHxh3/bi8XioW7curl69iq5duwIQ9NhcvXoV48aNk+sYV1dXvHnzRuTYt2/fwtLSssBtMwxTwm3dCowZA2RmAm3aAMeOAdraio6qyGRkZkBZSfAxOsR5CLR52uhSvYtwG1OCyTu6Oj09Pc+R1bGxsZSeni5vM8WmqJ/2Sk9Pp0qVKtHKlSvlrr8wHDp0iFRVVcnX15eCg4Np5MiRpKenRxEREcIyGzZsoBYtWsh0zL1790hZWZkWL15M7969Iz8/P9LQ0KD9+/fLVA/DMKVAZibRrFlEgtW6iIYOJUpLU3RURWrvk71UfWN1+pH4Q9GhMP9XrI+6//HHH+Tg4JDrfkdHR5owYYK8zRSbok5+iIiWLl1KRkZGlJCQIHcbhWHDhg1kYWFBPB6PXFxc6O7duyL758+fT5aWljIdQ0R05swZcnR0JFVVVapevTpt2yY+34U09TAMU4KlphINGPA78fHxESRDZVRCagINOTmE4AOCD2jef/MUHRLzf7J8fsu9tleVKlUwePDgXG9/LViwAPv378e7d+/kaabYFOfaXgzDMKVaTIzgMfZr1wBlZWDbNmDoUEVHVWReRr1E72O9Efw9GEocJfi4+WB209ngKok/4cwUP1k+v+W+Mfnt2zdUqlQp1/1mZmb4+vWrvM0wDMMwJc1//wkSHy0twZpdbdooOqIiQUTY/WQ3xp0fh+SMZJhqmeJgj4Nws3JTdGhMAcmd/FSoUEFsYGt2r169Yj0oDMMwZVH37oI1upo1EzzZVUb9c/8fjLsgeBCjrU1b7O22F8aaxgqOipGH3DM8t2vXDlu3bsXjx4/F9j169Ajbtm1D+/bt5W2GYRiGKQmuXQMiIn6/nzChTCc+ADCg5gDYGthiaculOD/gPEt8ygC5x/x8+/YN9evXR1RUFDp37gyH/09k9eLFC5w5cwbGxsYICgpC5cqVZa576dKlOHHiBF6/fg11dXU0btwYy5cvF06sKImvry+G5rjnrKqqKnEldUnYmB+GYZhcHD8O9O0L1KoFXL8uuN1VBhERLn+4jNZVWgvnsUvJSIGaspqCI2PyIsvnt9w9P2ZmZnjw4AH69++Pq1evYtGiRVi0aBH+++8/DBgwAPfv3y9Q4gMAN27cwNixY3H37l1cvnwZ6enpaNOmDRITE/M8TkdHB+Hh4cJXaGhogdpnGIZhsqlVC9DTA6pVA1TK5pINcalx6He8H9rub4utD3+vWsASn7KlUGZiMjU1xZ49e0BE+P79OwDAyMhI7pmfL168KPLe19cXxsbGePjwIZo1a5brcRwOh80SzDAMUxiIgKzf5VWrCpausLAAlOT+27nEeRT+CL2P9sb7X++hrKSMNH6aokNiikiBvntXrVolcfFJDocDY2NjGBsbF8mSF7GxsQDyXyQ1ISEBlpaWMDc3R5cuXfDy5ctCj4VhGKbMi48HunQRrM2VxcqqzCU+RISN9zai0c5GeP/rPSx1LXFr6C1MaDBB0aExRaRAY36MjY3x8+dPWFpawsPDAx4eHnB3d4eqqmpRxAhAsPRB586dERMTg4CAgFzL3blzB+/evUPNmjURGxuLVatW4ebNm3j58qXE22+pqalITU0Vvo+Li4O5uTkb88MwTPkWHg54eACPHwPGxsDHj4CGhqKjKnQxKTHwOu2FE69OAAC6Vu+KXZ13QV9dX8GRMbKSZcxPgZIfIkJQUBAuXLiAc+fO4fHjx1BXV4e7uzs6duyI9u3bS724prT++OMPXLhwAQEBATKNIUpPT4e9vT369euHhQsXiu338fHBggULxLaz5IdhmHLr1SugfXsgNBQwMhIsVuriouioikRAWADcfN3A5XCxqs0qjHcZzxbrLqWKPPnJKTIyEufOncOFCxdw+fJlxMfHo0aNGvDw8EDHjh3RuHFjKMnRTTpu3DicOnUKN2/ehLW1tczH9+rVC8rKyjh48KDYPtbzwzAMk83Nm4JbXTExgK2t4JaXjY2ioypSWx5sQT2zeqhnVk/RoTByKNanvQCgYsWKGDZsGI4ePYofP37gypUraNeuHc6cOYNmzZrB0NAQffv2RVBQkEz1EhHGjRsHf39//PfffwVKfPh8Pp4/fw5TU1OJ+1VVVaGjoyPyYhiGKZcOHQJatxYkPo0aAbdvl7nEJzo5Gv2O98PrH7/HrY6uN5olPuVMoY9aU1ZWhru7O1auXImXL1/iw4cPWLhwIeLj43Hr1i2Z6ho7diz279+PAwcOQFtbGxEREYiIiEBycrKwzODBgzFr1izh+7/++guXLl3Chw8f8OjRIwwcOBChoaEYPnx4oZ0jwzBMmUIErFwJ9OsHpKUJZm6+ehUwNFR0ZIXq9ufbcN7ijEMvDmGw/2AUwo0PppQqlEfd82JlZYWxY8di7NixMh+7efNmAEDz5s1Ftu/evRtDhgwBAISFhYncUvv16xdGjBiBiIgI6Ovro27durh9+zZq1KhR4HNgGIYps/h8YOJEYNMmwfuJE4HVqwFu2VmsM5Myser2Ksy+Oht84sPWwBbbOm1jY3vKMZnH/ISFhRWoocIeAF1U2AzPDMOUG0lJQP/+wKlTgvdr1gCTJys2pkL2PfE7PE964kKI4HH9fo79sLXjVmirais4MqawFemq7lZWVgXKlvl8vszHMAzDMEUkKQlo0QIICgJUVYF9+4BevRQdVaEKiQ6Bm68bvsV/g5qyGja03wCv2l6sx4eRPfnZtWsX+8ZhGIYp7dTVgbp1gXfvBD0/TZooOqJCZ6VnBWs9a+io6uBIzyNwquik6JCYEqJQHnUvS9htL4Zhyg0+H/j8WTBrcxkRlRgFPTU98Lg8AEBEQgS0eFrQ4pXNRViZ34r9UfcsCQkJePXqFV69eoWEhITCrJphGIaR16lTQLduQHq64D2XW6YSn/8+/oeam2ti5pWZwm0mWiYs8WHEFEryc//+fbi7u0NfXx+Ojo5wdHSEvr4+WrRogQcPHhRGEwzDMIw8oqOBQYOAkyeB/z9JW1bwM/mYf20+Wu1thcjESFz+cBlJ6UmKDospweR+1D0oKAjNmzcHj8fD8OHDYW9vDwB49eoVDh48iGbNmuH69etwKaNTozMMw5QKBgaCSQzPngXGjFF0NIXmW/w3DDgxANc/XQcADK89HOvbr4eGStlbh4wpPHKP+WnVqhU+ffqEgIAAmJiYiOyLjIyEq6srrK2tcfnyZbkCLS5szA/DMGVGSgrw6RNQvbqiIykSl95fwsATA/E96Tu0eFrY2nEr+jv1V3RYjIIU65ifoKAgjBo1SizxAQTLXowcORJ3796VtxmGYRhGFtHRQNu2QLNmwPv3io6m0MWkxKD30d74nvQdtSrWwsORD1niw0hN7tteSkpKyMjIyHU/n8+Xa1FThmEYRkafPglWZX/9GtDRAb5+LXNrdOmp6WFrx624/uk61rZbCzVlNUWHxJQict/2at++PZ4/f47AwEBYWlqK7AsLC4OrqyucnJxw/vx5uQItLuy2F8MwpdqjR4CHBxARAVSuDJw/DziVjfltzr09B3UVdbSwbqHoUJgSSJbPb7mTn8ePH6NZs2bIyMhAt27dUK1aNQDAmzdvcOrUKSgrK+PWrVuoVauWPM0UG5b8MAxTal24IJilOTERqFkTOHdOkACVcun8dMy+Ohur7qxCRc2KeDL6CUy0xIdaMOVbkS5vkVPt2rURFBSEOXPm4PTp00hKEjxeqKGhgXbt2mHRokVsUVGGYZiitmMHMHq0YOLCli2B48cBXV1FRyW30JhQ9D3eF3e/CMaO9nboDX01fQVHxZR2hTrDc2ZmJr5//w4AMDIyKpVjfVjPD8MwpQoRMG8esGiR4P3gwcD27QCPp9i4CsGp16cw9NRQ/Er5BV1VXezqsgvd7bsrOiymhCrWnp/slJSUULFixcKskmEYhslNWhowYgSwd6/g/Z9/An/9BZTy9Rf5mXxMuzQN64LWAQDqm9XH4Z6HYa1vrdjAmDKjUJKfgIAA7Nq1Cx8+fMCvX7+QszOJw+Hg6dOnhdEUwzAMAwCxsUDPnsCVK4JlKjZvFiRCZYASRwk/kn8AAKY0nIKlrZYK1+pimMIgd/KzZs0aTJ8+HWpqarCzs4OBgUFhxMUwDMPkZelSQeKjqQkcOQJ06KDoiOSWzk+HClcFHA4Hmz02Y6DTQLSt2lbRYTFlkNxjfkxNTWFra4szZ85AtwwMrmNjfhiGKRWSkwVrdc2aBdStq+ho5JKSkYJpl6YhLDYMp/qeAqeU37ZjFKNYx/wkJSVhwIABZSLxYRiGKdGePwccHAAlJUBdHTh2TNERye3dz3foc6wPHkc8BgAEhAWgqWVTBUfFlHVyP47l7u6O58+fF0YsDMMwTG78/AQ9PHPmKDqSQnPoxSHU3VYXjyMew1DDEBcGXGCJD1Ms5E5+NmzYgKtXr2LVqlWIjo4ujJgYhmGYnNLTBa8PHwRz+ZRiyenJGHVmFPod74f4tHg0s2yGJ6OeoF3VdooOjSknCmWen3Xr1mHatGkgIqipqYHL5Yo2wuEgNjZW3maKBRvzwzBMiXX5smACw1I4h1p2XQ51wek3p8EBB3OazsH85vOhrFSoM68w5VCxjvmZN28eFi9ejEqVKqFevXps7A/DMExhSEgApk0DFiwAsuZPa91asTEVktlNZuNR+CPs7rIbraq0UnQ4TDkkd8+PsbExGjZsiJMnT5bKGZ1zYj0/DMMoXGSkYHHShw8BNzfg2rVSPXFhYloi7n29B3drd+G21IxUqCqrKjAqpqyR5fNb7mwlLS0NHh4eZSLxYRiGUbg3b4BGjQSJT4UKgvl8SnHi8zLqJVx2uKC9X3s8jfg92S1LfBhFkjtj6dixI27dulUYsTAMw5RvgYFA48bAx4+AjQ1w544gESqFiAi7Hu9C/e31Efw9GAbqBkhIS1B0WAwDoBBue7179w59+vRBw4YN4eXlBQsLC7EBzwBKzczP7LYXwzAKcewYMHAgkJoKNGgAnDkDGBkpOqoCSUhLwOizo+H33A8A0MamDfZ12wdjTWMFR8aUZbJ8fsud/GS/3ZXXrJz8UvJoJkt+GIYpdmvXAlOnClZo79IFOHAA0NBQdFQF8jTiKXof6423P9+Cy+FioftCeDfxhhKHDY1gilaxP+3FpiJnGIYpAD5fkPSsXy94P3as4GsJveelxdm3Z/H251tU0q6EQz0PoYlFE0WHxDBiCmWen7KE9fwwDFMskpMFt7lOnBC8X7lSkAiV8j8m+Zl8/HXjL4xvMB6GGoaKDocpR4r1aS+GYRhGRj9/Aq1aCRIfHg84dEgwp08pTHwehT9C98PdkZyeDADgKnGxwH0BS3yYEo0lPwzDMMWNywViYwE9PcGszX36KDoimRERNt7biEY7G8H/tT8W3lyo6JAYRmpsPnGGKSaJiYCWluDrhARAU1Ox8TAKpKcHnD8v+EaoUUPR0cgsJiUGXqe9cOKV4JZdF7sumNZ4moKjYhjpseSHYRimOJw5A3z+DIwZI3hvYaHYeAro3td76HOsDz7FfIKKkgpWtl6JCQ0msAdfmFKFJT8MwzBF7fFjoGtXwaPsDg6CJStKoSMvj2DgiYFIz0yHtZ41Dvc8jPqV6is6LIaRGUt+mHKJ3YJiipWzMzBqFJCWJpjBuZRqWLkhtHhaaGHdAjs674Cemp6iQ2KYAmHJD8MwTFFITQXS0wVZNocDbNgAKCmVuie6wmLDYKEruEVnoWuBR6MewVLXkt3mYkq1In/aq0WLFhg4cCCCg4OLuimGYZiSISYGaNcO6NlTkAABgie8SlHCkEmZWBG4AjZ/2+DMmzPC7VZ6VizxYUq9Ik9+rl+/jgMHDqBmzZoYNGhQUTfHMAyjWGFhgKsrcP06cPs28OqVoiOS2ffE7+h4oCO8r3gjIzMD59+dV3RIDFOoijz5yczMRHx8PE6fPg1TU9Oibo5hGEZxnjwBGjYEgoMBMzPg1i2gZk1FRyWTm6E34bzVGRdCLkBNWQ1bO27FPx7/KDoshilUxTLmR1NTEx06dECHDh2KozmGKfG+fgWqVVN0FEyhunQJ6NFDMILe0VEwj4+5uaKjkho/k4+lAUsx//p8ZFIm7CrY4UivI6hZsXQlbwwjjUJNfhISEvDr1y9IWi7MopTOacHILjFR0RHkL3uMxRXvtm2/v7a3F4x/9fQUj6tiRcHXkZHl8ym0UnnOvr7AiBFARgbg7i5YtkJPT9FRyeTap2uYe20uAGBQzUH4x+MfaPG0FBwVwxQNuRc2TUlJwYIFC7Bz5078/Pkz13J8Pl+eZooNW9hUfmwsJCOPUrXUMhHw11+Aj4/g/YABwK5dgvW6SqHJFyejlkktDHEeouhQGEZmsnx+y93zM2bMGOzZswddu3ZF06ZNoa+vL2+VDMMwJV96OjB6tCDZAYBZs4DFi0tN9s/P5GPV7VXwdPaEiZYJAGBtu7UKjophiofcyc+JEycwfPhwbN26tTDiYcqAhARFR5C/7LeXHj8GbG2Ltr2vXwW3ujIzf2/jcgXjYitVkhxXeb3tVSrExwO9egH//iuYu+effwSTGJYS4fHh6H+iP65/uo7LHy7j0qBLUOKwda6Z8kPu5IfD4aBOnTqFEQtTiErDuBtF8vP7/XXdupLH3xSmSpWAVauAKVME77lc4O+/RROfkowlYTkMHChIfDQ0gMOHgY4dFR2R1C69v4SBJwbie9J3aKpoYojzEJb4MOWO3GN+hgwZgsTERBw9erSwYlKosjLmp5T0vDOlRKkah1McXrwQPNnl5wfUq6foaKSSkZmB+dfmY2nAUhAINSvWxOGeh1HdsLqiQ2OYQiHL57fc6f7cuXPx4cMHjBw5Eg8fPsT3798RHR0t9iqIpUuXon79+tDW1oaxsTG6du2KN2/e5Hvc0aNHUb16daipqcHJyQnnz7MJuhiGkVP232OOjoJ7lqUk8YlMiESLPS2wJGAJCIRRdUfhrtddlvgw5ZbcPT9KSr/zp7ymPC/I017t2rVD3759Ub9+fWRkZGD27Nl48eIFgoODoZlLP/zt27fRrFkzLF26FB07dsSBAwewfPlyPHr0CI6Ojvm2WVZ6fthtr9xJO/6msEkznqekjvkpKXEozMGDgjE9Z88CzZopOhqZxafGo972egiPD8e2TtvQ17GvokNimEIny+e33MmPj4+PVOu8zJ8/X55mAADfv3+HsbExbty4gWa5/ALq06cPEhMTcfbsWeG2hg0bwtnZGVu2bMm3jbKS/DB5++cfYOxYwddcLrB1K+DlVbRtSrOSfPYyb96wiRBLBCLB4ObjxwXfJDt2KDoiqaTz06GspCz8/fwy6iVUlVVR1aCqgiNjmKJRrI+6+2TNb1EMYmNjAQAGBga5lrlz5w6mZI0q/b+2bdvi5MmTMrWVmCj4UGTKpp49fyc/Dx4InvYq6t4yaSZWlGYiRKa4cYAt+6DcoBkyRo8DSkGv6ue4MAw52xfdqvXCuHqTAQBWmg4AWK8wU3bJ8r1dLMtbFIbMzExMmjQJrq6ued6+ioiIQMWs+wb/V7FiRUREREgsn5qaitTUVOH7uLg4AIJleZjyoXbt4m8zx7eoRJmZggQtK0ljio86kjAcO7AB4wFwAKgDmADMUHBg0rA7DXQdAqj/QtC7EMxsMwJIYzM1M0x2hZL8BAQEYNeuXfjw4YPE5S04HA6ePn0qVxtjx47FixcvEBAQIFc9OS1duhQLFiwo1DoZhim9jBCFM+iEBrgHQ/zAfPyl6JCkw00DWnkDjdYJ3n+tDxw9zBIfhpFA7uRnzZo1mD59OtTU1GBnZ5fnLamCGjduHM6ePYubN2+icuXKeZY1MTFBZGSkyLbIyEiYmJhILD9r1iyR22RxcXEwNzfHt28AG/JTdiliYHF+bSpqIDbzGyfkHdS6tYPSxw8gAwNMP9IOUxsqOqr8fYr5CM+zffAw4j4AYFzdyfhr8jLw1pbOZTYYpiDi4qS/ayN38rNy5Uq4urrizJkz0NXVlbc6EUSE8ePHw9/fH9evX4e1tXW+xzRq1AhXr17FpEmThNsuX76MRo0aSSyvqqoKVVVVse2amuwJl/KiuP6vNTXzni+nWjXBGJ+cA7HZoOdicucO0KkT8PMnYG0NzoULULezU3RU+YpPjUfzAy74kfQD+mr68O3qi852nRUdFsMUO1keKpd7np+kpCQMGDCg0BMfQHCra//+/Thw4AC0tbURERGBiIgIJCcnC8sMHjwYs2bNEr6fOHEiLl68iNWrV+P169fw8fHBgwcPMG7cuEKPj2EKW/bBzcHBRf8EGvN//v5AixaCxKdePUEiVAoSHwDQVtXGTNeZaFS5EZ6MfsISH4aRgtzJj7u7O54/f14YsYjZvHkzYmNj0bx5c5iamgpfhw8fFpYJCwtDeHi48H3jxo1x4MABbNu2DbVq1cKxY8dw8uRJqeb4YZiSpFIlwa0yDkfwYk/pFJG//xbM1pySIlim4vp16UakK1BIdAiCvwcL309pNAU3htyAha6FAqNimNJD7nl+Pn/+jDZt2sDLywvDhg0rkjE/xYnN81M+SDPnjiLkjAsomXGWCZmZwPTpwJo1gvejRwvuOyqX7IdgD704hJFnRsJM2wwPRj6AFo8NaGYYoJiXtzA3N8eoUaMwc+ZMGBkZQVNTEzo6OiKvorglxjBM2VKsvVwpKUDfvr8Tn6VLBTNfluDEJzk9GaPOjEK/4/0QnxYPY01jJKax7kCGKQi5f9LnzZuHxYsXo1KlSqhXrx5LdJhSIb/Bx0wZFh0NdOkCBAQAKiqAry/Qv7+io8rTmx9v0PtYbzyLfAYOOJjddDZ8mvtAWankJmsMU5LJ/ZOzZcsWeHh44OTJkyLrfDEMw5RIb94A9+8DurqCgc7u7oqOKE/7n+3H6LOjkZieCGNNY+zvth+tbVorOiyGKdXkTn7S0tLg4eHBEh+GYUqHRo2Aw4cBGxvB6uwlWCZlYveT3UhMT4S7lTv8uvvBVNtU0WExTKknd8bSsWNH3Lp1qzBiYRiGKRrnzwPZn0rt0qXEJz4AoMRRgl93PyxruQyXB11miQ/DFBK5n/Z69+4d+vTpg4YNG8LLywsWFhbgSlgRtLQ8Bcae9mIUKfvTXjmV9ae9iuwJvNOnge7dARMTwe0u05KbQBARfJ/44kXUC6xuu1rR4TBMqVKsq7rb/X8isCdPnmDr1q25luPLMvUiw5RTWQOx80qCGBk1bSqYJrtBA8DQUNHR5CohLQF/nPsD+5/tBwB4VPNAC+sWCo6KYcqmQnnai8PhFEYsDMPk4etXttSF1Ph8wfogAKCvL3iyS19f8Bx9CfQs8hl6H+2NNz/fQImjhIXuC9Hcqrmiw2KYMkvu215lDbvtJTs283Dhy74IahYlJcEcfNmXwChLsp/z48eArW0BK4qNhdqAHsjo2BUZo6Vf1kYRtxSJCNsfbceECxOQyk9FJe1KONjjIJpaNi3+YBimlJPl85slPzmw5Ed2JfSPaaYcqoQvOI8OqInniIUOquADolFBqmOzZtQuTpMuj8GOp5sBAG2s22Nb+70w1BC/NVeWx3oxTGEp1jE/DMMwJYETnuE8OqAyviIcJuiA81InPoCCxljZtQN6bweuLsGlO1NhRZIfwGV/ojJM4ZI7+VFSUpJqzA8b8Fx2KeIv5rKADWguPC1xBSfQHTqIRzDs0R4XEAZLRYclAQF6oUCMleDtm87A3yFAbEmMlWHKriIZ8Mzn8/Hp0yecPHkSdnZ26Nixo7zNMCUY65IvmLySRkljfrhcwQLkZXHMz9evgL29YK3RLFwuEBwsWN0+L8oH9oI3xgucjAzwm7jB8qA/gvX1izbgAohJicHYf4fj1udruD34CSrrmP9/D0t8GKa4yZ38+Pj45LovPDwcDRs2RDX2iArDiJE1aQwOLrtPe1WrJhjMPXas4D2XC2zdms/5EgGLFwNz5wre9+0Lrq8vNFVVizxeWd3/eh99jvXBx5iPUFFSwbPou7AzNc//QIZhikSRrklhamqK0aNHY+HChUXZDMOUC/n1gJR22Xu0goMBL688CqenAyNH/k58ZswA/PyAEpb4EBHW3V0H112u+BjzEVZ6VggYFoBeDr0UHRrDlGtFPuBZU1MTHz9+LOpmmCLAHmFXnG3bxLfJ+v+R/dZZZGTJuT2ZW1zZz09PL4/zTUiA6qBeUL58EaSkhLSVfyNj1FggufBjleeaRSdHY+ipoTj95jQAoLt9d+zsvBN6anqFExzDMAVWpI+6v3jxAl27doWmpiaePn1aVM0UKvao+2/sEXampOEiA7fRGC64jySoox8O4jS6FFl78vx2nHVlFpYFLgOPy8OaNmswpv4YNiEswxShYn3U3draWuIPdExMDGJjY6GhoYGTJ0/K2wzDMAz4UMZeDIY1PqIjzuIeGig6pFzNc5uHNz/f4M9mf6KOaR1Fh8MwTDZy9/wMGTJELPnhcDjQ19eHjY0N+vbtW2oWNQVYz0927LaXYkh68gn4PeuxtLeziuu2l6zt5HXbK9d6si9XAQA/fwIVpJ/Dp6BkuWY/kn5g472NmOc2D0qcIh1OyTCMBMXa8+Pr6ytvFUwJVVLGiJQ0Rbb6+P/lfPIpi62teFuamtK1L205ecnaTm7lRbYfOQIsWwZcvSpYnwsANIs+8ZHFrdBb6He8H77GfwWPy8PsprMVHRLDMHmQOfkJCwsrUEMWFhYFOo5hyiNPT/Hkp1xKSgKmTQM+fxZMcjR/vqIjEpFJmVgWsAzzrs0Dn/ioVqEaOlZj85oxTEknc/JjZWVVoEF7bIZnhmFkpqEBnDsH7N8P/PmnoqMREZUYhYEnBuLyh8sAgIE1B2Kzx2Zo8djU3QxT0smc/OzatYs9scAwxagobq2VZOpIglLgQ6DN/1c2d3ICli9XbFA5BIYFoufRnohIiIC6sjo2ddiEIc7i4x8ZhimZZE5+hgwZUgRhMAxTlLS0iieJ+vq14LNQa2oCFPUd6NwZ6PwYuHIFaNKkcAMsJJo8TfxK/oUaRjVwpOcROBg7KDokhmFkwFZ1Z0qVwnwCraB1ZT8uKqpoEoq82pC2/V27RN9v2AAMG1Z4MUpqx94eWLUKGDAg9/LZ43/6FKhaVfA192MIdPu1h/LHEGTq6SM2mpAeVfjx5ie365nGTwOPywMA2Go740SPC6hn4gJNnmaRPRlZnnr8GKY4FeokhwkJCfj8+TMAwNzcHFqlcNlq9qh7ycbuKpRNLgjCWXSEEX7gEyzRHhfwGvaKDuu3KpeBLsOAwyeAb/WLrdm8Fr8FWHLEMNnJ8vldKJNR3L9/H+7u7tDX14ejoyMcHR2hr6+PFi1a4MGDB4XRBMMwZRQHmdiPgTDCDzxEHTTE3ZKT+ChlAC3+BAa1BXS/AM0WF2vzWlp5vxiGKRi5b3sFBQWhefPm4PF4GD58OOztBb+0Xr16hYMHD6JZs2a4fv06XFxc5A6WYfL7S1gW8tz2qlKl8OIo7whK+IpKeItq6IPDSEQJ+VTX+QL06A9Y3hK8fzAKuLhWsTExDFMo5L7t1apVK3z69AkBAQEwMTER2RcZGQlXV1dYW1vj8uXLcgVaXLK6zb59K3+3vYpi3EL2ROHDh7LRTb9rFzBrluBrJSVg8WKgT5/ia3/fvt/T3eTVfvZyALBgATBoUNHHkzUz9YsXgifVs4uNBerWFZ29mosMvOo2G7oblwDKJWMY4tXQCxj33yBEp/yEloo2VrltQzfbvooOS0xZ+HlimMISFxcHMzPpbnvJnfxoa2tj3rx5mD59usT9K1aswMKFCxEfHy9PM8UmK/kBYgGUr+SHYYoDF+kgKCETXHCRgba4iPPwAFBCBnRZ3gSGugm+Dq8NHD0MRNsqNiaGYaQQB6CYlrdQUlJCRkZGrvv5fD6UlNg6NwzDAHr4BX90Q1WE4DXs8A/GwB89FB2WqLAmwFsPIMYKuLQKyFBTdEQMw+RCA4mwwXvY4D3M8QIbpDxO7p6f9u3b4/nz5wgMDISlpaXIvrCwMLi6usLJyQnnz5+Xp5liw257FX6dZem217dvEm7bcIEHDwAzs5LVfs6xSUV1/bO38+IF4OiYe3u6vuuh6j0JsdBBd5zAwciWJeJ74srHf9GwkqtwduZ0fjpUuCoKjophGADAr19Q+vgenPchUPr4HukjxgjX+ePNnAKVjYKxeIJ+HxRPz8+SJUvQrFkzVK9eHd26dUO1/89w9ubNG5w6dQrKyspYunSpvM0Uu+JaCLIkKer5atLTAWPjwm+jOBkbiy46yuUCW7cCzs4lr/2cyWxRXf/s7RgZ/f7a2FjC99T0CUj79gVN1g/GCzgp/OcsjZ+GmVdmYu3dtfCs5Qnfrr7/38MSH4YpNkSCV9ZdogsXBEvahIQIXtHRIsV57VoAlRsJ3thXFSRCVasCFhbA8eNSNSl38lO7dm0EBQVhzpw5OH36NJKSkgAAGhoaaNeuHRYtWoQaNWrI20yx+/4dSElRdBSln6wT4JUG7dv//vrmTcHPXFQxTsYnbfs5k5+CXv/8kpPs7WT/+t07wUr0SoG3kFmnHqCuDoCDxNkr8WK95BiL06eYjxhyti8eRNwDAGgp6yMung+uEldxQTHlQnn7wxqAoLv6yxdBMvP+/e/EJuvr//4Dsp4KDwkBDhwQPd7ERPDLrmpV0XkeRo0CxowRfB0XJ3XyU6iTHGZmZuL79+8AACMjo1I51ocNeGaYwtMQt3ELzXAKXdAbR5CJEpJY2J8QTFqoFgsk6wEnfYE3XRQdFVNOFN6nbgmTlgaEhv5ObDp3BrKGw/z9NzBxYu7H+vkB/fsLvn7+HLh4EbCxESQ7VapINbGVLJMcyt3zk5GRgaSkJOjo6EBJSQkVK1YUC0ZDQwPKJeQRVoZhis9dNEIoLJAITSghU/HJDzcVaDMNaLBR8P5zQ+DYISDWMu/jGIYR9/AhsGPH7x6c0FDRAYlGRr+TnypVABUVwNpakNBkJTZZX1tb/z7OyUnwKkJyZyQTJkzAzZs38eLFC4n7XV1d0aJFC6xfv17epopVSAigra3oKEo3RQ8OlkeOHJ4pMA5a4zI+ogpKxKPs6r8Ax8OCrwNmAP8tAjJL3viewpzMk2FkFhPz+3ZUzn/Xrwd69hSU+/YN2LJF9Fh19d8JjaHh7+3t2gHJyYIPgRJA7uTn4sWLGDx4cK77e/bsif3795e65MfICChnD3sVOkUPDpZHXh8+iYm/k6PIyOK/fy9t+9nLAYLr//ffgKdn0cT19Stgb0/IzPyd5HC5wMVgG1SqJDmu4r9+JrgWegBp/DS0ndahOBuWSbkcE8IUHyLBwNaspKZOHcDBQbDvzBnB7arcvHv3+2tnZ2DOHNGeHBMTyYswlrC7P3JH8+3bN1TK/pstBzMzM3z9+lXeZphSytPzd/ITHAz8/2HAEk/aDx9FP62UV/uamoIkLutWeVFf/2qaX7HFdDv++Pon+FAGl0vYupWTZ5tFff2S05Mx5d8paGHdAr0cegEAOtZoVXQNMkxJ9OmToIcmew9O9r/wli37nfxk3X6qWFH81lTVqoCd3e/jzM2BRYuK7TQKk9zJT4UKFfDmzZtc97969arczZfDSJZHjswUgyK9/i9eAB06YMTXz6iLU+iLQzgbbCcx8dHULJ4Bn29+vEHvY73xLPIZDr08hDY2baCrplv0DTNMcUlP/z3AOOftqdGjgQkTBOXi4oDly0WP5XAEyUvVqqLjEOztBeXL+LgPuZOfdu3aYevWrRgwYABq164tsu/Ro0fYtm0bevXqJW8zDMOUVNeuAd26AbGxyKxWHd3f+iMUVgpNdvc/24/RZ0cjMT0RRhpG2N99P0t8mNIpOVkwY2hICFC5smAgJQC8fAnUqgXw+ZKPCw7+/bWNDTBunGhPjpUVoCZh9nIut8wnPkAhPOr+7ds31K9fH1FRUejcuTMc/t919uLFC5w5cwbGxsYICgpC5cqVCyXgoibLo3JM+ZSY+PtWUkKCYsb8SNt+kcfq5wcMHSr4C7RpUyT6nYSWhUHRtZePpPQkjD8/HrueCCaYam7VHAe6H4CptmnxBsIwBRETA2zeLNqDk33YyB9/AP/8I/g6Lg7Q1RUMMLaxEb9FVaNGuetuL9ZH3c3MzPDgwQPMnDkTp06dgr+/PwBAR0cHAwYMwJIlS2BW0h/tYRgZFNdtm5LaPgBBAMuWAbNnC9737g3s2QPwFbcOVlJ6EhrsaIAXUS/AAQfz3OZhbrO5bNJCRvGIgB8/xCf2e/8eaNECWLz4d9msn6nsdHUFSU32TgQdHcHTVrkNMGbyVCjDr01NTbFnzx4Qkcgkhxz2H8IwZU9GBjB+/O9HXKdOBVasEExNr8AZmzVUNNDSuiV+JP2AX3c/tLBuobhgmPInM1OQjLx/D6iqAg0bCrbHxQmSlvh4ycfp6Yl+PWqUYAxO9kHGBgaSExxT1qNZUIU6w3NZUJ5ueyn69g0jvYL+XxX6/3FiItC3L3D2rOCX8fr1gkSoqNrLR0JaAhLTElFRS/DsfBo/Db+SfwnfM0yR4PMF83Zk78X58OH3mkgdOgDnzv0ub2AguKVVufLvhCbr3xo1BC9GbsV624thSgqWzBWx6GjBRGX37wsGSh44IBjonE1x3pJ7HvkcvY/1hqGGIa55XoOykjJ4XB5LfBj5pKQAHz+K36KythaMxwEEvZyzZwOxsaLHcrmCgcQ5h3o8fCjopZE0wJhRiBKd/Ny8eRMrV67Ew4cPER4eDn9/f3Tt2jXX8tevX4e7u7vY9vDwcJiYmBRhpAxTDmhrI0PXADGogE4pZ3ClTSMoIr8kIux4tAMTLk5ASkYKzLTN8CnmE6oaVFVANEypFBcnSGqSk4HGjX9vd3QUPCUlKYO3t//9NYcDDBsm+Dr7IGMLC8ESDjllX7qBKRFKdPKTmJiIWrVqYdiwYejevbvUx71580aky8vY2LgowmOYEq9Qe2JUVJC67ygamkbiPRSTaMSlxmHU2VE49OIQAKBd1XbY23UvjDSNFBIPUwocOyZIaLL35ERFCfY5OAjmqMqioiL4gdHW/p3UZCU22Sf3A4A1a4rvHJhCV6KTn/bt26N9+/YyH2dsbAy97IPIGIYpmOPHgYAAwS96DgfQ1sZ7KGYOkMfhj9H7WG+ERIeAy+FiScslmNZ4GpQ4SgqJh1GwzEwgPFz86SkOBzh06He5hQuBZ8/EjzcyEl/E78gRwaBjQ0P2BFUZV2jJT2JiIuLi4qCtrQ0tKZaeL0rOzs5ITU2Fo6MjfHx84OrqqtB4GNmx8TslwIcPQJ8+gsGdjRsDCpyslIgw8uxIhESHwFzHHId6HkJj88b5H8iUbhkZQFgYEBEhenuqe3fg4kXBbaucsro7s5KXrl2B+vXF58GRNCDW1rZIToMpeeRKfj59+oQVK1bg3Llz+PLli3B7pUqV0KlTJ0ybNg3WxXiv09TUFFu2bEG9evWQmpqKHTt2oHnz5ggKCkKdOnUkHpOamorU1FTh+7i4uOIKt9QpTQnJ16+lZx2xEqtKFUGPz5s3gg8bBeJwONjbdS8W3FiAfzz+gYG6gULjYYrAjRvA48eiPTmfPgkSIC0twTidrIQmM/P3CuGWlqJPT9nYCPZnrR6+YIHCTokpuQr8qPupU6cwaNAgJCQkwMrKCjVr1oS2tjbi4+Px7NkzfPr0CZqamti/fz+6dOkif6AcTr4DniVxc3ODhYUF9u3bJ3G/j48PFkj44VDEo+5RUcW72nX21bUfP87/j57iXI27IG1t2wZMmSL4WklJsKJ8Ua1gXtyK7dqnpIAT8wtkYvq7jWx/RRdnAnz/6308jniMkXVHFl0jTPGIjxckNNlvT337JlhBPCuh6dxZ8D4nVVVBIv6/9u47vKnqDeD4N+kutEDZFGhpC2XIVpAlQxAREFDZo8hWUBGBH6AyHFRREBkiCAIiiAwBZSh77y2r0MEuZbe0pS0k5/dHbGg6kzbd7+d58tDcnHvOubcheXvmgQOGxf7AEJDHBz7JDTAW+ZIlU93TFfycO3eOOnXq4OXlxdy5c2nSpEmSNHv27GHIkCEEBwdz7NgxqmZwHYP0Bj+jRo1i7969HDhwINnXk2v5KVeuHDdvZn3wk829hSKfc+Me6+hAER7QmL08UEWSpMmK4EcpxYxDMxi1ZRR6pWdX3100Ki9d1zmaUoalEIKDDV1M8UaNgl9+eTbAOLHbtw1jbwC++w7270/aiuPubvhrRog0ZPo6P5MnT6ZYsWLs3bsXN7fkm5+bNGnCnj17qFGjBv7+/im2vGS2kydPUjqVVTAdHBxwcHBIclx25BD5SQWC2chrVCaAhxTCh0DghTTPy6jEwVSs9j791vVjXcA6AN6o8gbVSlTL9HoIC5w5A0ePJl0H5+FDw+v37hkW9QOIi3sW+BQtajrmxsfHdN2bDz80PITIAukKfnbs2MGAAQNSDHziubm50a9fPxYsWJCuykVGRhIYGGh8HhISwsmTJ3Fzc6N8+fKMHTuWGzdu8MsvvwAwffp0KlSoQLVq1YiJiWH+/Pls376dzZs3p6t8IdIjODhj50dHG5YbAcP3jLMzLFkCEyYYjmm1hq2AunZN/nxLW2NsTxyhcK92aO/eRle2PLqlG9lQuRpRyWxVkfDYpUsZHx+aML9dQQcZsrUr1x5dxd7GnslNpzK49lA0Ok2ydbGWnDx2LcvpdHDtWtLAZuHCZ9swzJ0Ls2Ylf767u6FfNv67Ydgw6NPHEOzIDFyRg6Qr+Ll37x6enp5mpa1QoQL37t1LTzEcPXrUZNHCEf8N6PDz82PRokWEhoZy9epV4+txcXF89NFH3LhxA2dnZ2rUqMHWrVuTXfgwLTdvJj8ZIKOkayvv8/KyXl7xQVBCej2MHWt4ZFRb1vM7XdESzQlq0fb6BkKbmtfsWbt2xss3qv89bVeNBJuncN+buJW/M/LTuoy0YhEpiYzMgkISyPZgKzbWsIJxhQqG8TRg2Cn8++8Nx588SXrOJ59A3bqGn194AVq1Sjp7ysvLEKknJLOnRA6VruCnWLFihISEmJU2JCSEYsWKpacYmjVrRmpDkhYtWmTyfPTo0YwePTpdZSVWoEAO+JASIhMNYi4/8C426Pmb1nRmJZHZtIYPejtD4HOmC/z1E8Rm3Xi7rP6DJMt2U7x2zbAVSeJ1cK5eNVTi+PFnEWxMDFy8aPjZ3t4QyCQMbBKOA+jTx/AQIhdLV/DTrFkzFixYwPDhw1Pt+rp//z4LFixIV8tLdouKejZT0prCwlIvM77VIDg4a2Z7xZe3b5/hcy41P//8rLVBq4Vvv4WePdMuw1KhodCkiaGFI56NDezenfomxsl1F6XGmi00uYkGPV/yMWP5CoAF9GMIP/KULJ41YxMLuv9aHo68Aw+8ILA1IIvLmeX+/aQzqMaNe9ba8vvvhgHHySlQwHQQ8htvGAKh+AHGmfHhJ0QOkqHZXj4+PsybN4+GDZMuNrZ//34GDx7MpUuXOHbsGNWq5Y5Bi/GjxSEcyNu7uoucL34JgoTT+G1sYMaMdE7jj4vD4Z1+2P6+1PB03ESejB1v1mq2N24YtjdKHJSeO2f4vjSXXumZdvhrlp5ZxMZOh6lY3jB9OSuWd8gJzL5GpQw3xcXl2Ul//mlYsTgoCB48SHrOqlXw5puGn//+2zBQLPHsKR8fKFFCVjAWeU6mz/aqWrUqy5Yto0+fPjRp0gRPT09q1qxpss5PSEgIjo6O/Prrr7km8BEip6lb17BeUc+ez4Kfo0fTOZTi4UMce7yBze4dKFtb4mb9xNNefc0+3d3d0NqXOAizJPC5HXWbgZt6s+2yYRLC6ktLgXfNz8BMuSqIun8/6eJ+8S06UVGwZo1hlWIwjMc5evTZuaVLmwY1CZcUefVVw0MIkUS6FzkECA4OZsqUKaxfv56bN28aj5cuXZp27doxatQofNLqS8lh4iPH7Fjnx9JFB61ZXlp/dWfkr34Z5J0zLMIPP34hAhfeYhVbeCVrK+C5E97sAS6h8MQJNs6CE2+TGd1cWTauxhxxcYaVihMGN927w4svGl5fuRK6dEn+XK0WZs+GIUMMz2/dMiz25+Nj6LfNVVGeEJkr01t+4nl5efHjjz8aC3306BEuLi5ZHjTkFUuXPvs5/i/+nLJCsTX+6hfZazRT8CKY95jJKWplXcEaHbz0JTSdBFo93KkCK1bCnTzUIhwVZYi44iP9Y8dgzBhDoHP1qulfDWBYmTg++KlUybBjeOLZUz4+4OlpGIAcr1Qp6NQpSy5JiLwsQy0/eZGM+ckdUpqenBnbQGTmGjOJB7mHhxsC3+QGe8fvz2vuYPioKGjudZkreD47J+GGj1aorzn1+PrweKYd+xyAbpXfZnLjmRSwM5yYnkH05siUBpHHj9GeP4smOAhtcCCa4EC0wUGGf2+FEvv1dJ4O/QAA7fGjOL30bJFI5eyM3ssH5eWD3ssb3Wuvo2/YOBMqmTJpJBJ5XaZvb5GXSfCTO6T0rs2M7Rdy67hQPxYxj0EMYh6L6Zt9FXG+A/0aw+5P4HTv7KtHmhQlCcObIHwIxJsg9tGIzbQG4AUOc5j6KZ79LR8xim8BKEAkb7KaILwJxIcwSpLds9jkk17kdZne7VWjRg2L0ms0Gk6dOpWeorJNZi1ymBJrzaRJL3NaTLJqc82s3EA1L6vERex5QjN2Zm3wo30Kvn/C+f92go8uDj+cBX2GetmtQoMeR2J4jGEdhLJcYzrDjQFPQUyb+b7nfWPwE4gPoZQiEB8C8TEGNkF4E4Q3D3i27EcUBfmFHNJnLYRIIl2fRm5ubmgS/Dn85MkT9u/fT40aNShSJOlmiLlRVi9yWKmSYYzP0KGG5zY2hlXkK1XKujrES+naM7P7x1Ip1SXhcWvVN7W1mTIquW6fjh2Tdi2lp7sp6tEXdPWpyUo6JzknvWtKpXVeaOQN3tnagwOhu5nZYjFdfOMXw0v6UXPzZvJdfEePZnBvPZ0OmyvB2IQEYnM5CJuQQOyvB6ENCkRzJYSnA98l7qtphrR3nSjg+YfxVKXRoMqVR1XwRu/lw+CXX2JAx/hX3YBQ6gB1MlA9IUT2s0q31927dylRogRbt26lRYsW1qhXtrGk2czaEnbZBARkbeBjTndRbu3+yS8K8oiP+ZJJTCAGp6yvgM/f0Kk3FLgLsQXhzwVwNoVZTBnkRDReBBtbbEKowBoMLU0lCCOMUimf3KEDrF1r+Fkpw9YOnp7PBhgns9GxECLny7LZXvE08q1odTKLSliiFKFsoC11OEEZbuLHL1lXuPYJtPgUGn9teB5aC1b9DvcyFr3b8sS46rQjj5nFMONYnLLcMEm7lg7G4Oc2JbhFSe5Q3NhFNWpOgplU5co9O1GjedbcKoTIN7K/E17kGmltAJnaWB1LxvFkZMxPwnPjZWTcUHrqYu45KY3zOnr02ZZL5pSpOX8OxzfaoL12FVWsOJ1Xv8ebda33+0jN9Yhr9F3fjYM39wMwsNa7+A+fiuNUx7RPVoroK3d4/TlD682PHwXicD0IdSmQ8OOB7KIpTcJW/zdLzRHnksvRREc/O71QIfTeFVEVvGnToDGRQ4x3BFQoLhoNXmBYzUjGjQkhEpDgR5gtpS/IhF1mCdOmlN6S8VTWGHuVWh6WzA5LT11SOyelcV4JF7dMs8xduwyDhB4+hIoV0WzahJO3t0X1yMg9vnLrPAdv7sfVwZX57efTuVpn0wR6vSHKi1/gz9ERevX67zWF8/MeHCDG8Hzqs9OKARW5lKBuGsOAqEKFjOvgaNzcsPmv1dkWMO2sktZoIUTKJPgROdqNG9kz6Dur+Pk9C37OnXt2rWaNxFu+3JBBXBw0bAjr1kGxYskmzaz7+Ir3K/z42hxaerfC2+2/oGvsWDh71hDwBAdDbOyzE2rVehb8aLUo74pcPRtOID681Ncbuyo+xLh7U7+XD8F4cSthYe+8Y/0LEELkS+kKfo4fP27yPDw8HIBLly5RuHDhZM+pUyf/zo8wd9ZRZsxUMjevhGlOnUp7h/e08k+cR8I0t2+n3tLw88/Pfq5SxbKF75KrS2rlpVUvS+qdnnMSprWzM91oO0VK4Tz7Gwp+/j8AYtq9ScSsJaB3ggTlzZv37JQqVUxXDLf4vfb4MZqQYO6e2ceGzVPpYv8ChW7cQRscyICixYjZOcSYj9OadWgDzj+rrq0tysMTvZcP+udq8CRh2VtO4FnGsIN42NfPZradtqRuIk2yXIQQptI120ur1SYZ5KyUSnbgc/xxnU6X/lpmofjR4oGB4bi4WGe2V+IxKEKklxYdM3ifofwAwHcMZyTfoscmw3m7EGEcUFyQSBbxtvG181SmMgHJnveQQhThAfFdTW/zMw7EGtfAuUp5dNLInK1kgUORH2T6bK+FCxemq2K5SS7bj1XkA05Es4wedGQdejR8xFSm82G689OgR6FFi46pfMRwvje+dp8iz4Ifm1iC3GIoFQGBbhDk6Ebgze4ExdYxBjgJLaRfuuskhBBZQba3SES2txA5UXFu8xftqc9hYnCgF7+ymreSpNOgpzShlOMqh6mPQmt8TYsuxRYiG55yGU/seGJcuXgA83lS5Bp07opD8WPE2gL7R8K2yaC3y6xLzXHSmuWYG0i3l8gPMr3lJyYmhuHDh1OtWjXee++9FNPNmDGDCxcu8P3332Nnl7s+LA8eTDqDKTMlmMGb5cLCDOu+JZxyrdUaxs+a02W3ahVMmZL0eMI8Fi+G2bMNxzUaGDfOUGZa+Wm1hvGzKaVN6zryChceUYEQ7uHGG6zmOuVoxWbKc5UFDDCm+4v2tGUjAAvox2DmosMWG54yl8F8xFTCKZwkfx22VCKAxwnnhJc+Bn4twDGC2OiisGIxXGqb2Zea40jgIETek66WnxkzZjB69GjOnTuHV/xa98kICgqiWrVqfPfdd7yTS2ZqSMuPyGk68Qct2E4djlGGm7hzEzueGl93IYJIXACYzbsMYh6X8SQQH47wPKeoyUMKcxN3AvBNtvVHq4XNm6FUgoWR43Sx9NrZCAetI9/UX04p57JWvS5n5+SPL1kCEyY8q9eXX0LXrlYt2iJZHfxYszwJ3ER+kum7ujdu3BgPDw+WLl2aZtrevXtz5coVdu/ebWkx2UKCH5FVXIj4b0vMZ7uIx/9blXO0ZCtx2PM6fzKEuSbnPsbRuKHmO8whlDLGPB/jZFwZ2WKFQyCi3LNNSAuEweOiOWJTUmE5GdQg8pNM7/b6999/6Wnm3OOGDRvy119/pacYIfIIRQfW8jdtiMWw8vF3DDcZYJxYd5YxlyE8xomRfIM/Y0x2E79JGZPxPPEeZSRgr74U2g+GAx/Cjs8Nx6JkqqIQIu9JV/ATFxeHvb29WWnt7e2JTbjIWS4RGAguLtldi/RJvDaKOeOJoqOhXj3Dz4cPp9wl8dxzGatbXtaIvfhygZ8TjMEx0DCc7wmkImcx3MBQSgNwm+LGAcYJ/z1DNTqzimC8+IlBmTtV3C4a2rwPdRYYnpffB9qnWdraExZm+DfTdnrPRGntdG8p6aoSIvOl69OtTJkynDlzxqy0Z86coUxO/dRKRX6e6h4fBIl4CsMaNoqm7KId641dVG+xiov4AtCEPQxlNgvpZ9Iqo0HPHYpjxxPjsR8ZwhzeMWmpsSeWp9gax+S8zp/E4kCmbtVQ7Dx07gIlz4DSwK5PYfenKQY+wcGZVxUwBDhffmkY5A6GwOebb0y3/MjJrLEdizXJIpEiJ7HWnoKp5W82lQ6DBg1Sbm5uKiwsLNV0YWFhys3NTQ0ePDg9xWSL8PBwBSgIV4Yec3nk58e7zFJBeKodNFXXcE+SoB1/Gp82YZf6grEKdBaXU4R7ahdN1EyGKtBnzfXVXKQY56yYiGJkSUWFrdl+v+UhD3nII/0Pw/d3eHh4mt/16RrwHBwcTPXq1alQoQILFiygfv36SdIcOnSIAQMGEBwczOnTp/FOZrPFnEgGPOd9lTlPe/6iKHcZh3+qqyN3ZTnL6U4MDgTjlaR76ggvcJ+iGaqPB5fZRBuqcIFwXKnBaa7ikaE80+RyA96vCHaPIagl/PGrjO8RQuRyEUAmDnj28vJixYoVdO/enYYNG+Ll5UX16tVxcXHh0aNHnDlzhqCgIJydnVm+fHmuCXwSunkT0rh3WboOkDBPEe7/Nyz42ewpHwL5hC/YSXMAanOCKRj2xSrGPQYxF30K/xU28hrluMoN3JMdYJxRdTjGBtpSijCuUZY2bDIJfMLCTMeUnDnzbNxVWuNLUhuLEhXljtcbP4DrdS79PBbXbzO+PYa1JFfvnNSVlFhmN+ULkVdk9v+ViAjzxwZmaIXny5cv8/XXX7N+/Xpu3LhhPF6mTBnatWvH6NGjU10HKCeyaJ2ATByKIVKiKE0o3gQRQgVuYFh75jU28Cu9KMLDZM8axkxmMwyAqpxlHJONs6fOUYXzVOExzmTq+JpE2rCRFXShIFGcogavsZGbuCdJFxZm+oER/3NkZNrBT3yA/uiRYvnFBVQpVoVG5RuZvJZWPlktJ9ctObmtvkJkl8z+v5Lp6/wk59GjR0RERODq6opLbp0mhWU3Lz8NJkwtYk8rmr9xw7CreOIZPOfOgXui7/qEed05dROXnX+hCQ5EGxSINiQITUgQmv+mr8VOm83TQe8CoD10AKeXGxrKo4zJtPD/zfPBrsmLqHLlU72ueCdOPBtgm9y13b6dtGUiYZqELRfxEt8X24U/YT/8HTQ6HXEvtaTY7tU8wtWYLnG56Ql+4j2KfcTg9YP57cxvlHUty+khpyniVCTtE7NJbgsmclt9hcguCf+vBARApUrWzT/T1/lJjouLS64OehKLijJ8QYu0FSiQ+v5H7u5JZ/DMmPaEslHBaP8ORBMchDY4EE1IEE/f9AO6GNJdDcHhgyFJ8lNaLaq8h0nTm75GLaIP/Yuq4EVhZ2eqREGz/4KE4R3A1oIvJEsmJ4aGWjgzUCnsPh+P/ZQvAHjSow8Pv/6JR+VSXjoiYZCd8OdLl9KeBXX69kn6/NWFwAeXsNHYMKjmMGx1hXJ04J7S9eZUua2+QmSXefOe/VylCsycCX5+1svfkv9/srFpIjLg2XqcicKbICJw5QqeAHgSzDJ6UJ/DaEn61vuGkYzmGwCKcYef6ZdkHZwrePAE89aZyknsiOMnBuLHLwB8xqdMYBKZ09Wm4Pkf4dUPwTYWwsvCquVwrVEmlCWEEDlBJg94rlGjhkXpNRoNp06dSk9RIhcoyCPasiHJIOPS3ALga0Yzhq8BiMWRBhwCIJICSWZPHeRFY753Kc7r5I3VwV0JZxVv0YqtPMWGIfxosiGpVdnGQKc+UG2l4XlAO1i7yLBNhRBCiPQFP25ubmgSdDk8efKE/fv3U6NGDYoUybljCUR6KEoSliSw2c1L/Ihhs9pChLOc7smefQ83k+ehlKYxewjEhzBKkpUDjLOPYgNtacw+IilAZ1byN20yr7inDqDRgc4Wtn5t2K4iX9xnIYQwj1W6ve7evUuJEiXYunUrLVq0sEa9sk1+7PbSoqMs17FBRwiGkbpu3GM7LfAmiIIk7UhdQWe6sgIwrGC8lZZcwSNJS85DJBgGaM3f/MRAOrKW49TNhBKUoXvrqWHvMBwfQtGLcEOW6xZC5BeZ3O2VmCYPzvnOLXt7JZ6plBobntKKLUnWwalACA7EsZyudGc5AA8pTGUu4EAcOrRcpTwHeJEjvEA0zgRQ2ZivQsvLbLf2peV6TkT/N30e/uFVKnLJuLGpVTk+gA79QGdvGNeDBmIK5+vAJ36vsMSsPRPLkpmMQuR3CWexJpxVay2WrPOTdTsX5jK5cW8vJ6LxJsgY1HgTxBU8+JoxACg0rKMD9gn2mIoXh53J3lN6bGjNP9ykDJfxzJUDjLNTSzazmL40Yh+XqQCQOYGP+yHo3BUKXwGdHZQ4C7dl99kSJbKmnEqVDDNWhg41PLexgblzrT+FV4i8pmJF6/8xotOZn1aCn1ymEA8pzEPj7ClQbKUlVThPGUKTpD9EPWPwo8eGv3mVp9gm6Z66Rrkk2zzsolnmXkyepXifGWyiDVcybZsKBQ2mQcsxYPMU7nvBqt8zJfCJ38M4OvrZprd//QUVKliWj7Pzs5+t8aGXU9bT8fN7FvycOyeBjxC5gQQ/OdSLHKAil0y6p7wJohj3OMCLNOTAfyk1eHDFGPjcp4gxoAnCm3+pbpJvB/7M4ivJjzS8zULuUzRTtsTA6R507Au+6w3Pz3aGP3+C2ELWL4tn22kk1L695fmk1BVlLkuCnaxcbydhWYULmz7PKQGaEMJUuoKf48ePmzwPDw8H4NKlSxQuXDjZc+rUqZOeorKNOXt7pZtej+bGdZPF/dDa8GTil8YkTs/1RHs5JNnT61d5ROSRZ8+1u+fzuEAB9BW8cXBzoxpQLUH6nzNY3ZTGNRw9CrVrG54nXsE4v+175kQU9TjMrv/2D7tH8UwqSUGPdlDuoGFW19/T4ehgcsNsLkvGp+VWia9RVlETImdK12wvrVabZJCzUirZgc/xx3WWdMZlI0uWx07VkydEh4Sh3MsaD9kPG4TNgb1oLgejiY01Sa4vUZLHwbeepR3YB+3NG+i9fFBe3jx296FJPx+C8SI4rGCW/0U5bx6MGGH42cYGZsyAt95KuvVDwgFtqW28mdwWEFqtaYCVW5TkFutpx/Mcoze/8Cu9M7dAj13Q7h1YvQxu1crcskSGSPAjRNbJ9L29Fi9ebHGl/Ky5hnUmsjj4uXgRzp83TA8LCjL8GxiIunqVUF0J3LlpTLqVl42zouKwI4QKxnE3gfgwk/fIDX/Bi2d8ucAm2lCBy9yhGO35i0MJFmq0HoXJe0P7lOBA2ywLgm/ehLp1k2/9s2Q7kIzIqV1Iqe1tl1PrLERelC0bm+YVSW5eeLhpYHPnDnz33bMTmjeHnTuTzSsKZ4pxlxicAHiJXdjxxDjAWCdDrnK1RuzlT17HjQdcwoc2bCKITJgmqHkKbd6Hw+/D3WdLDGT1Jpo//JB0VlP//llXfk4lG5sKkTNI8JMBxptXty6uV67A3btJE0VHg5MhoGHECNi92zA33seH2LLe6L188Grtwy1KIS05edNbrGQJvXEklgO8yOv8yV1rjvPR6KDeTPD907BYYZwL//RfTcXCVc3+crX2l7A11uhIrZUkObkhkJDgR4icQYKfDDDePBKs71yyJHh7Gx4+PjB8eIqjofPgeo8ikeF8x1Q+QotiLR3owTLjYoZWUfAWvNELvLYZnp/0gw2z4Un++1bNDZ9OEvwIkTNYEvxIv0tKfvkFatQwjMr9b6lnk+mzWTiVVuQMWnRM5SOG8z0AMxnGcKYnWR8pQypsgzd7QsEwiHOGDT/AqdwxXk4IIXILCX5SENWyAzbxkeN/gU5+m74tnnHkMUvpyRusAWAk3zCVjzC3W3P0aJgyxfCzVgsTJsCbbyZN992/W1kQEIZ3wecI+vp3uFOVw4dNFwg0V3rOSU109LM1f86cSV/+CfNIbTZgvKxcrycjIiOf/Zxb6pyfSeucQOVgu3btUu3atVOlS5dWgFqzZk2a5+zYsUPVrl1b2dvbK29vb7Vw4UKLygwPD1eAgnBlaHSXR35/FOWO2kcDpUDFYK+6sDzzytPGKRp9pbCLyvbrloc88upD5E3x39/h4eFpps2E5WetJyoqipo1azJ79myz0oeEhNC2bVuaN2/OyZMnGT58OAMGDOCff/7J5JqKvKwZO2nIAR5QmFZsYQVdrZe59z+GRQtt4gzP9Xaw73/wxMrNNkIIIYysMuA5JiaG1atXc/z4ccLDw9EnWqlOo9GwYMGCDJWh0WhYs2YNHTt2TDHN//73PzZs2MCZ+M2IgG7duvHw4UP+/vtvs8qJHzCF6ZBnkc+9ww/soDkXqGKlHBU0+gpajTM83TwF9o8y++yMbhWRXRIubmnObC8hMoO87/KmLB3wfOXKFZo3b87ly5cpXLgw4eHhuLm58fDhQ3Q6HcWKFaNgFg2WOXDgAC1btjQ51rp1a4YPH54l5Yu841U2cYLahFEKgDm8a8XcFTT+Clr+F/gcfhcOv2f22dYOGrLyiyDheJiHD7Nu93UhhEgow8HPqFGjCA8P5+DBg3h5eVGiRAl+//13GjVqxIwZM5g1a1aWdTvdunWLkok21ylZsiQRERE8fvwYp/i1eRKIjY0lNsFWExEREZleT5Gz9eRXFuPHCWrTlF1EY8XooOwBaD8ISp6BGFf4cwGce8uiLKy9R1bCwbqZbd68Zz9XqQIzZxp2RReWkZYLITImw8HP9u3beffdd6lXrx73798HQCmFg4MDo0aN4vz58wwfPpwNGzZkuLKZwd/fn0mTJmV3NUQOcpAXuY8bJ6hNHPbWy7jeLHjtvxaem3Vh5e/wwNt6+adTds1i1OsNK0bHrxotzJfxwQpC5G8ZDn6io6Px9PQEwNXVFY1GY9zlHaBBgwaMHDkyo8WYpVSpUoQlGgwRFhaGq6trsq0+AGPHjmVE/I6dGFp+ypUrl+qu7omnsiYcx2DO9F1LpbWv0s8/w9ixhuMJNwdNqS7prW/i60489Tk8HJo0SVrP3buhdOm080+Y39atSTc+Ta1sc6ddJzwP4K+/oFo1QCmiH2t47jkIwof7W47T0qssF5NZtTK1eqUq8FVDa8/JvrBlCugc0pmREEKIjMhw8FO+fHmuX79uyMzWFnd3dw4ePMgbb7wBwLlz53B0dMxoMWZp0KABGzduNDm2ZcsWGjRokOI5Dg4OODgk/RIqUCDloCDx8YRBQYkS1gt+4vOtWBG+/Tbprurx2wv06/cs+NmzBxo1sk75iaX2pZ8woEhIp0tffRIN3UpVSmWbo317cCKKP+nw37o9bQCo3Kpc+jNNyX0fmHUBIs2IBPOxrOyGE0LkTxkOflq0aMG6deuYMGECAH379sXf358HDx6g1+tZsmQJffr0SVfekZGRBAYGGp+HhIRw8uRJ3NzcKF++PGPHjuXGjRv88ssvAAwZMoRZs2YxevRo+vXrx/bt21mxYkWO7XJLS0rdETpdyt0FCQMNc1oo0t2KkYfE4khlLjCfAXgTRCyZGKxL4JMmGc8ihMhsGQ5+xowZw5EjR4iNjcXBwYFx48Zx8+ZNVq1ahY2NDT169GDatGnpyvvo0aM0b97c+Dy+e8rPz49FixYRGhrK1atXja9XqFCBDRs28OGHH/L9999TtmxZ5s+fT+vWrTN2kRa4cQMqVcqy4oQV6LHhAC/yBZ9aJ/ApdBkiyoGy4rYX2cTarTDW2BxVCCEySjY2TSR+nYCbN9NeJyDevHnPuqS0WuvNYEnYnZbaOJ3Er6XFkvEylo6tSe9YnODg5Lu69u0z7CVrLcmOn0LH8U1huPiWyfDYrV9PrOSjnQMMM7j+mgvKFhsb+OKLZ12TKeWdE1s8MmNneNkEVAiRGbJsV/fo6GiaNGnCwIEDGTJkSHqzyVFkkcOcJTO+IH/svZdhv76IDlts0DF3Riz933M2+WIOCLCsBS/maQwj/hnBnKNzDAeuNoIVKyCyDAEB4O4uX/ogwY8QIvNk2SKHzs7OhISEoElmRowQ1mDVTSKVwm7yJIb8Ool2uPMD79Dl8CgqVjUEPhlZg2ZNwPpngc+esbDjM9Ab/nsVLmw4nNM2v5TAQwiRX2W426tHjx7ExMTwxx9/WKtO2So+cgwMDMfFJe2Wn7SmoVuLJd1eaX2pJZ4a/+230LNn2uXmZrY8YS6D6cdCAL5kHJ/wBebuyp42Ba9+aJjOHviqlfLMXNnR4S0tP0KIzJJl3V4A58+fp3PnztSuXZvBgwdToUKFZNfUcXNzy0gxWUa6vfKegjxiJZ15lX/QoeUd5vATgzKWqe1jaDYJ9o2Cx0WtU9Eslh37g1lzTaysCpwkQBMid8jS4EerfbYxfGrdXzqdLiPFZBkJfvKWAkSyhybU5iRRONOFFWykbcYyLXYeOncxbFFxoQMsX2uVuoqcSaaECJE7ZOnGpuPHj5cxPyLHiqIA+2hEGW7Slg0c4/mMZVjzF2j7DthHQ2RJOGT+hqRCCCFyBpnqnkh6pronXLskvTtupzYA1tobWeYPivjxPFp0lOIWN3FPf3Z2UfDaMKi9yPA8+GX441eILJXhmiaWHd1RuZF0ewkhEsrSlp+EIiMjuXbtGgDlypWjYHbtmGgFqW1vkVnnCevoxm/0YBlv8AdPsUOPTcYCH7dA6P46FD8Pei3snAh7xmXaIoYlSpg+l0HCQghhXVYJfo4cOcLo0aPZu3cv+v+mPWm1Wpo0acKUKVN4/vkMdjXkIMm10CRejNDarN0SYMmg04Rprb3gYEIJZ6AlZsnsOc3dOxStNwhtVCT3v57P477vmF2HlO7Lw9iitFz5mDhdaX5s9RsNhzZNMY87d54t8vjbb9CihdnFm9QjpecZfX9J4CSEEFbo9jp06BDNmjXD3t6eHj16UKVKFcAwC+y3334jLi6OnTt3Uq9ePatUOLOl1Wwmw5tyvjZspAXbGc0UFNq0T0iO7WN46ohxKnyJfyGqJESVSPW0nE46uYUQeVWWzvZq2bIlly9fZu/evZQqZTr+ISwsjEaNGlGhQgW2bNmSkWKyjAQ/uY8T0VQghHNUs06GJU8ZZnMdGAHHBlsnzxxCgh8hRF6VpWN+Dh06xPjx45MEPgAlS5Zk0KBBfP755xktJsew9kaP2SHhAG1IfZC2NQZzp+XGDcOKygkXijSnbgDcvo1jl/ZoL4fwePsBlJd3uusRGako1W4uvDocbGPx6TOVI9v7YWdjZ3YemXG/MmMzUBlHJITIzzIc/Gi1Wp4+fZri6zqdzmQtoNwuL35JpDZIu0CBzA/43N0Nq0zHbw5rYwPmLAuluXQRxzfaoA0JRrkVRXPvbrqDn/DYcN7ZMgjarQCglUc75rdbZFHgA5lzv5YuffZz3brp3zg3YcCTcAPcnLDVRm6SFz8DhMhvMtzt1aZNG/7991/27duHh4eHyWtXr16lUaNGVK9enY0bN2aoolnFkmaz3CrhlyCk/Zd/Tuzqa8B+/uR1inGPILxowyYuYcFOpAmVPgadu4JbEOhsYevXcOBDrLf1hchLpOtQiJwpS8f8nDhxgpdeeomnT5/SqVMnKv23FXZAQADr1q3D1taWPXv2ULNmzYwUk2XyQ/ADlnV75LTgpxN/sJSeOBHDYV6gHeu5QzoHIhcIg+EVwO4xPPSAlb/DjfrWrbDIUyT4ESJnytIxP7Vr1+bQoUN8/PHH/Pnnn0RHRwOGHd9fffVVvvjiC6pWrZrRYkQmunEDKqXSaGKNbpy0xsIkfD04+NmU88RpbWd/j/2YD9EoxdPX2lNt4W+EZKgfoiRfHRjLqdsn+KH1Aop8UcTiumem5MZD2djAuXOG7kJLmHuPhRAir7PKOj9Vq1ZlzZo16PV67ty5A0Dx4sVz9VifqCjDl0xeNW/es5+rVEn/OJLMkOy4Gb0e+3EjsZv1HQBPBrxD3LczwNbyt/CR0EMUdihCRTdDxDf6xY/RoLHaNi3WDCQqVTL8boYONTy3sYG5c1MPVs2RsI7pXZhTCCFyK9neIhHZ2DTncSCGJfSmM6sA+B9fMYXRWD4mR0GD76Dl/+BOVZh/EJ46Wb2+1v4flbCLMiAg/YFPwnzCwp61AslsLyFEXpBt21sIYW1u3GMdHWjMPuKwoy+L+I0elmfkdA869gXf9Ybn93xBm/IsxZzK0q4uc6TV7SmEEHmNxcGPVqtNV/eAzpy5yznIzZuQW8Y7WzpV+eZNw5TpxONIzN1CIj3S2lIj4etnzoCzs+Fnty8nU2jBPnQuhbg3dy1fvtiMLy0s+9jt/by/uxuh0dew1zrw6QvT6dF7MJqvzXsfL1kCEyYYftZq4csvoWvXlNPfvm1hBdOQ8Pd7+3b6W2kS5vPjj89+rlLFsNRAz57py9ea8noLVF6/PiFyC4u7vSZOnJgk+FmzZg1nz56ldevW+Pr6AnDhwgU2b97Mc889R8eOHZkQ/+2Rw+XG2V45bTaWNTkQw0Le5gs+sXwFZ40eGn4DL38MWh3cqwgrV8CtWplSVyHSIoMMhMg8mdrtNXHiRJPn8+bN4/bt25w5c8YY+MQ7f/48LVq0oExmNSeIPKkOxzhBbRRaYnGkB7+lLyONDnz/NAQ+p3vA+h8hzsW6lRVCCJHrZHjAc8WKFXn77bcZN25csq9/+eWXLFq0iEuXLmWkmCyTG1t+0rNCb1ZP305cXsLtNRIawE/8yBCmMJpx+Ge84EJXocI2ONkXWbRQZDdp+REi82TpgOfr169jZ5fyFgB2dnZcv349o8WIVGQ0cMnqqc4PH6b8Whz22KCnJGFo0Fu2K7tGB038wf6RYZVmgPDycPLtDNVXCCFE3pLh4Oe5557jhx9+oEePHrgnmopy/fp1fvjhB6pXr57RYrJNXt33KOF1ZcU1Jl5XaNq0lAbY+vHgQAXavdiEWxYMZrodHcbQbb3YfX0rAFund6N68doZq/R/Eg7G3rcPfHyskm2GWRKwprZ5rLU2SxVCiNwiw91ee/fupXXr1gB06tQJn/++GS5dusTatWtRSrF582YaN26c8dpmgcTNZnl5MHFO4Eo40xnOGL7iNin0haWlwjZ4sycUDIM4Z9gwB071sW5FcyBL/+f+8IPpYonxEzBlnR8hRF6QpXt7AZw5c4ZPP/2UzZs38/jxYwCcnJxo3bo1kyZNylUtPxL8ZJ1i3GY7L1OdM2yjBS3ZikXjcjQ6aPoZNP0cNArCnjPM5rpbJdPqnJNY+j834SKHJ05A7f8axiT4EULkBVke/MTLC9tbJL55ebXbKysluz+VVhFcvB7lw46iL1Wa2NUb0Ne0rJuq65oObAj6E4C+NQbyTfPvcbKz/orN2bm3V2osrYes8CyEyMuybYXn6Oho4uLiUEolGeRcvnx5axaVZeRLIeOS7E+lVcy1G0b5sKNQpQraTZtw8vCwON9etbqz69p25rabS4/q6Vj1OR1kHywhhMj9MtzyExMTw6RJk1iwYAH37t1LMV1uWeE5N051zw3iWx1e4W/m2wyhnO4KNG0Ka9ZAkaQ7qSfnqf4pwQ+CqVT02V4Mt6NuU6JAicyqNmDaYpKbW0mk5UcIkZdlacvPu+++y+LFi+nYsSNNmjShiJlfZCKfUYpP+ILPGQ86oFs3WLQIHBzMOv16xHW6r+5O4P1ATg4+ScmChm/uzA58wBAY5LX1WfLiNQkhhLkyHPz88ccfDBgwgLlz51qjPiIvevIE+/fe5XPmAxA34n/YfzPZsFGWGTZc3IDfWj/uPb6Hq4Mr5+6cMwY/QgghhKUyPCJZo9FQp04da9RF5EWPHsHrr2O3aD46tLzLbJ589pVZgc8T3RNGbR5Fu9/ace/xPeqWrsvxQcdpXqF5FlRcCCFEXpXh4KdDhw5s3brVGnURec2tW4ZxPX//jXJyohNrmMO7Zp165eEVXlr0Et8e+BaA9+u9z75++/B2887MGudp8V1dSskYHyFE/pbh4OfTTz8lODiYQYMGcezYMe7cucP9+/eTPEQ+5OgIcXFQvDgxG3fwF6+bfar/Xn8OXj9IYcfC/NHlD75v8z1PYx3QaAy72MsSBEIIIdIrw7O9Eq7lo0llRUCZ7ZVPXb0KcXFElfaxaMZUZFwkg9cP5ssWX+JZ2BPIO7OuhBBCWF+WzvYaP358qkGPyGdWrIDbt2HYMMPz+PWd0mipCX4QzE/HfmLyy5PRaDQUtC/I0jeWZm5dhRBC5EsZDn4mTpxohWqIPOHIEeja1dAvVasWJNjPLbWp1avOraL/n/2JiI2gjEsZ3qv/XtbUVwghRL5k1RWeRT73/PPwzjtgZwcNGqSZPOZpDB/98xE/HP0BgEblGtGxcsdMrqQQQoj8zirBT0xMDKtXr+b48eOEh4ejT7iJE4axQAsWLLBGUSKniY42bA/u4mJo8Zk1y6xp7JfuXaLLqi6cvHUSgDGNxvBZ88+ws7HL5AoLIYTI7zIc/Fy5coXmzZtz+fJlChcuTHh4OG5ubjx8+BCdTkexYsUoGD9KVeQtd+5A+/ZQuDD89ZehxceMwGfdhXX0WtOLyLhIijkXY0mnJbzq86pFRd+4YdgzTAghhLBUhoOfUaNGER4ezsGDB/Hy8qJEiRL8/vvvNGrUiBkzZjBr1iz++ecfa9Q1x8tP0681QYE4vtEGbVAgqkgRHp8ORFWuYta5rjYliXkaQ6OyL7Gw7TLKuLibde/mzXv2c5Uqhs1S/fzSeQHCLDKjTgiRF2V4qnuxYsV45513+Pzzz7l//z7FihVjy5YtvPzyywD069ePsLAwNmzYYJUKZ7aMTHXPL5Pe6nOQv2hPce4Sgidt2EQAlVM/yS4KniT4Ji23D27UB70MO8vJZP8vIURuYcn3d4YXOYyOjsbT0xMAV1dXNBoN4eHhxtcbNGjA3r17M1qMyCFeZx3baUFx7nKUujTgQNqBT81fYLgnlDz97Ni1RhL4CCGEyBYZ/vYpX748169fN2Rma4u7uzsHDx7kjTfeAODcuXM4OjpmtJhcITIyu2uQuWznzsZ+5HtolOJp69eosvh3glIZzxUVF8VH24bx69lFALw9ZzYzX0nfBrg3bhi6uhKOpbexgXPnwN09XVkKIYTIpzIc/LRo0YJ169YxYcIEAPr27Yu/vz8PHjxAr9ezZMkS+vTpk+GK5gZ5dnyEXg9jxsA33xieDxqE7ezZ2Nqm/PY5e/ssXVZ14dydc2g1WiY2nci4JuOwSWdbY6VKhjE+Q4cantvYwNy5MuhZCCFEOqgMunLlilq1apWKiYlRSin1+PFj1b9/f1W4cGFVtGhR5efnp8LDwzNUxqxZs5SHh4dycHBQ9erVU4cOHUox7cKFCxVg8nBwcDC7rPDwcAVkuM55RkyMUt26xe+HqdSXXyql16eYXK/XqwXHFyinL5wUE1Glvy2tdoTssEpVIiOfVSMgwCpZCiGEyCMs+f62SrdX+fgtDABHR0fmz5/P/PnzM5o1AL///jsjRozgxx9/pH79+kyfPp3WrVsTEBBAiRIlkj3H1dWVgIAA43PZfiOdHjyAjh1h926wtYWff4bevVM9Zc2FNfT/sz8Arb1b80unXyhRIPnfU0ZIV5cQQoj0SnfwExMTw7p16wgJCaFo0aK0a9eO0qVLW7NuAEybNo2BAwfy9ttvA/Djjz+yYcMGfv75Z8aMGZPsORqNhlKlSlm9LvlOjx6GwMfVFf74A/6bwZeaDr4deMX7FZp7Nmd0o9FoNRkeUy+EEEJYVbqCn9u3b9OwYUNCQkJQ/82FdXZ2Zu3atbRs2dJqlYuLi+PYsWOMHTvWeEyr1dKyZUsOHDiQ4nmRkZF4eHig1+upU6cOkydPplq1alarV77x7bdw/TosWwbVqyebRCnF8jPL6VSlE462jthobdjUc5MEPUIIIXKsdH1Dff7551y+fJkPP/yQ9evXM336dJycnBg8eLBVK3f37l10Oh0lS5Y0OV6yZElu3bqV7Dm+vr78/PPPrFu3jl9//RW9Xk/Dhg2NM9ISi42NJSIiwuSRr92+/eznatXg1KkUA5+I2Ai6re5Gjz96MOKfEcbjEvgIIYTIydLV8rN582b69OnDt99+azxWsmRJevToQUBAAL6+vlaroKUaNGhAgwSbajZs2JAqVaowd+5cPv/88yTp/f39mTRpUlZWMeeaPx8++AA2boSmTQ3HUtiu4njocbqs7ELQgyBstbZ4F/FGKZWp46tS2xleCCGEMFe6/kS/evUqjRs3NjnWuHFjlFKEhYVZpWJgWD3axsYmSZ5hYWFmj+mxs7Ojdu3aBAYGJvv62LFjCQ8PNz6uXbuW4XrnSkrB338bNipdtSqVZIpZh2fRYEEDgh4E4VHIgz1v7+Gjhh/JwHIhhBC5QrqCn9jY2CQLF8Y/f/r0acZr9R97e3vq1q3Ltm3bjMf0ej3btm0zad1JjU6n499//01xMLaDgwOurq4mj3xJo4ElSwyL58yYkWyShzEPeWvlW7y36T3idHF0rNyRE4NP8GLZF7O4skIIIUT6pXu21+XLlzl+/LjxefyWFpcuXaJw4cJJ0tepUydd5YwYMQI/Pz+ef/556tWrx/Tp04mKijLO/urTpw/u7u74+/sD8Nlnn/Hiiy/i4+PDw4cP+eabb7hy5QoDBgxIV/l5WkQE/PQTjBhhCH6cnGDQoBSTh8eEsyNkB3ZaO7595Vveq/eetPYIIYTIddId/Hz66ad8+umnSY6/++67Js/jx4HodLp0ldO1a1fu3LnD+PHjuXXrFrVq1eLvv/82DoK+evUq2gTjUh48eMDAgQO5desWRYoUoW7duuzfv5+qVaumq/w868YNeO01OH0aHj2CiRPTPMWjsAe/vfkbRZ2L8nyZ5zO/jkIIIUQmSNeu7osXL7a4ID8/P4vPyQ4Z2dU91/j3X0Pgc/06lCwJGzZA3bpJkt1/fJ9+6/oxsM5A2lZqmw0VFUIIIcxjyfd3ulp+cksgI5KxfTt06mTo8qpcGTZtAk/PJMn2X9tPt1XduBZxjaM3jxL0fhAOtg5ZX18hhBDCymRBlvzk11/h1VcNgU+TJrBvX5LAR6/0TNk3hZcWvsS1iGtUdKvI+h7rJfARQgiRZ2R4by+RCygFX30F48YZnnfpAosXQ6IZe3ei7uC31o9NgZsA6FG9Bz+2/REXB5esrrEQQgiRaST4yeuePoVhwwxT2AFGjoSvv06yeOHd6LvUnlubG49u4GjryMw2M+lfu7/M5hJCCJHnSPCTl0VFQbdusH69YSr7jBmGQCgZxZyL0canDXuv7WXFWyuoXjL5LS2EEEKI3E6Cn7wqLAzatYOjRw3dW8uWGQY6J0wSGYZGo6FEgRIAzGgzA53SUdC+YHbUWAghhMgSMuA5rwoKMkxpL1r02QyvBLaHbKfW3Fr0+qMXeqUHwMnOSQIfIYQQeZ60/ORVDRsa9ujy9YWKFY2HdXodn+/+nM92fYZCUdSpKHei7lCyYMlsrKwQQgiRdST4yUtWrzYEOjVqGJ63a2fycuijUHr80YOdl3cC0L92f2a0mYGznXMWV1QIIYTIPhL85BWrVhmmsJcpYxjnk2jX+81Bm+n1Ry/uRN+hgF0B5rabS88aPbOpskIIIUT2keAnr3j5ZahSBZo1g+LFTV56qn/K+5ve5070HWqWrMmKziuoVLRS9tRTCCGEyGYS/ORmT56AnZ3h5yJFYP9+cHU1TGtPwFZry/K3lrPg+AKmtJqCk51TNlRWCCGEyBlktldude+eoZVn5sxnxwoVMgY+Gy9t5KdjPxlfqlWqFjNfmymBjxBCiHxPgp/cKDjYMJtr/36YOBEePDC+9ET3hNFbRtN2WVuGbhzKyVsns62aQoj8w9PTk+nTp2d3NUQW2blzJxqNhocPH2Z3VdJFgp/c5sgRaNAALl6E8uVhzx5Dlxdw5eEVXlr0Et/s/waAIc8PoUqxKtlZWyFENujbty8TJ04EQKPRcPny5Uwv88iRIwwaNMjs9Lnxy7NZs2YMHz7c5Njly5eN2wBNnDiRvn37Zn3FskHDhg0JDQ2lUKFC2V2VdJExP7nJ+vXQtStER0Pt2rBhA5QuDcC6C+t4e93bPIh5QCGHQvzc4WfeqPJGNldYCJFfFE800SKrKKXQ6XTY2ua+rzOdTodGo0GrtX47RFxcHPb29lbPN569vT2lEs0qzk2k5Se3+PFH6NDBEPi8+irs2mUMfEZvGU3H3zvyIOYB9dzrcWLwCQl8hBBJxLe2bNu2jeeffx5nZ2caNmxIQECASbo5c+bg7e2Nvb09vr6+LFmyJM28E3d7aTQa5s+fT6dOnXB2dqZixYr8+eefgKG1pHnz5gAUKVIEjUZjbDHR6/X4+/tToUIFnJycqFmzJqtWrUpyDZs2baJu3bo4ODiwd+9e9Ho9U6ZMwcfHBwcHB8qXL8+XX35pPO/atWt06dKFwoUL4+bmRocOHUxaxPr27UvHjh2ZNGkSxYsXx9XVlSFDhhAXF2d8fdeuXXz//fdoNJp0tagtWrSIwoUL8+eff1K1alUcHBy4evUqsbGxjBw5End3dwoUKED9+vXZuXOnybk//fQT5cqVw9nZmU6dOjFt2jQKFy5sfH3ixInUqlWL+fPnU6FCBRwdHQF4+PAhAwYMMF5TixYtOHXqlPG8U6dO0bx5c1xcXHB1daVu3bocPXoUgCtXrtC+fXuKFClCgQIFqFatGhs3bjT5PSRsuVu9ejXVqlXDwcEBT09Ppk6danINnp6eTJ48mX79+uHi4kL58uWZN2+eRffQapQwER4ergAVHh6e3VUx0OmUGjNGKTA8+vdXKi7OJMmUvVMUE1Ej/h6hYp/GZlNFhRA5hZ+fn5owYYJSSilAhYSEKKWU2rFjhwJU/fr11c6dO9XZs2dVkyZNVMOGDY3n/vHHH8rOzk7Nnj1bBQQEqKlTpyobGxu1ffv2VMv08PBQ3333nfE5oMqWLauWLVumLl26pN5//31VsGBBde/ePfX06VO1evVqBaiAgAAVGhqqHj58qJRS6osvvlCVK1dWf//9twoKClILFy5UDg4OaufOnSbXUKNGDbV582YVGBio7t27p0aPHq2KFCmiFi1apAIDA9WePXvUTz/9pJRSKi4uTlWpUkX169dPnT59Wp07d0716NFD+fr6qtjYWOM9K1iwoOratas6c+aMWr9+vSpevLgaN26cUkqphw8fqgYNGqiBAweq0NBQFRoaqp4+fapCQkJU/FfphAkTlJ+fX4r3aOHChcrOzk41bNhQ7du3T124cEFFRUWpAQMGqIYNG6rdu3erwMBA9c033ygHBwd18eJFpZRSe/fuVVqtVn3zzTcqICBAzZ49W7m5ualChQoZ854wYYIqUKCAevXVV9Xx48fVqVOnlFJKtWzZUrVv314dOXJEXbx4UX300UeqaNGi6t69e0oppapVq6Z69eqlzp8/ry5evKhWrFihTp48qZRSqm3btqpVq1bq9OnTKigoSP31119q165dJr+HBw8eKKWUOnr0qNJqteqzzz5TAQEBauHChcrJyUktXLjQ5D3i5uamZs+erS5duqT8/f2VVqtVFy5cMKZp2rRpqvcwNZZ8f0vwk0iOCn5iYpTq0eNZ4DNpklJ6vVJKqUexj4zJdHqd2nd1X3bVUgiRS8R/YW3dutV4bMOGDQpQjx8/Vkop1bBhQzVw4ECT8zp37qxee+21VPNOLvj55JNPjM8jIyMVoDZt2mRSl/gvT6WUiomJUc7Ozmr//v0meffv3191797d5Ly1a9caX4+IiFAODg7GYCexJUuWKF9fX6X/7/NTKaViY2OVk5OT+ueff5RShuDHzc1NRUVFGdPMmTNHFSxYUOl0OqWU4Yv5gw8+SPU+pGbhwoUKMAYXSil15coVZWNjo27cuGGS9uWXX1Zjx45VSinVtWtX1bZtW5PXe/bsmST4sbOzU7dv3zYe27Nnj3J1dVUxMTEm53p7e6u5c+cqpZRycXFRixYtSra+1atXVxMnTkz2tcS/vx49eqhWrVqZpBk1apSqWrWq8bmHh4fq1auX8bler1clSpRQc+bMMR7r3bu3GjNmTLJlpsWS72/p9sqpHj40dG8tWwa2trBoEYwfT4wulqEbhvLCTy8QGRcJgFajpWG5htlaXSFE7lEjfgscoPR/3ee3b98G4Pz58zRq1MgkfaNGjTh//jwAS5cupWDBgsbHnj17zCqnQIECuLq6GstJTmBgINHR0bRq1cqkjF9++YWgoCCTtM8//7zx5/PnzxMbG8vLL7+cbL6nTp0iMDAQFxcXY55ubm7ExMSY5FuzZk2cnZ9t99OgQQMiIyO5du1ainW2lL29vcl9+ffff9HpdFSqVMnkmnft2mWsW0BAAPXq1TPJJ/FzAA8PD5OxV6dOnSIyMpKiRYua5B0SEmLMe8SIEQwYMICWLVvy1VdfmdyP999/ny+++IJGjRoxYcIETp8+neJ1pfS+uXTpEjqdzngs4bVrNBpKlSpl8p745Zdf8Pf3T7Eca8l9I8Tyg7g4aNoUTp8GFxfDnl2tWnHp3iW6rurKiVsnANh0aROdq3XO5soKIXIbu/jFUcE4U0mv15t17uuvv079+vWNz93d3c0qJ76s1MqJjDT8Qbdhw4Yk+To4OJg8L1CggPFnJ6fU1y+LjIykbt26LF26NMlrWT1Q28nJyXjPwVA3Gxsbjh07ho2NjUnaggULWpR3wnsSn3fp0qWTjB8CjOOFJk6cSI8ePdiwYQObNm1iwoQJLF++nE6dOjFgwABat27Nhg0b2Lx5M/7+/kydOpX33nvPonolZOl7IrNI8JMT2dvDwIHg7w8bN0LNmiw/s5xBfw3iUdwjijkXY0mnJbzq82p211QIkcdUqVKFffv24efnZzy2b98+qlatCoCLiwsuLi4ZLid+JlLCVoGEg4CbNm1qdl4VK1bEycmJbdu2MWDAgCSv16lTh99//50SJUrg6uqaYj6nTp3i8ePHxmDq4MGDFCxYkHLlyhnrnLC+1lC7dm10Oh23b9+mSZMmyabx9fXlyJEjJscSP09OnTp1uHXrFra2tnh6eqaYrlKlSlSqVIkPP/yQ7t27s3DhQjp16gRAuXLlGDJkCEOGDGHs2LH89NNPyQY/8e+bhPbt20elSpWSBHU5gXR75SRPnz77edgwOHuWx1UrMfivwXRf3Z1HcY94yeMlTg4+KYGPECJTjBo1ikWLFjFnzhwuXbrEtGnT+OOPPxg5cqRVy/Hw8ECj0bB+/Xru3LlDZGQkLi4ujBw5kg8//JDFixcTFBTE8ePHmTlzJosXL04xL0dHR/73v/8xevRoYxfZwYMHWbBgAQA9e/akWLFidOjQgT179hASEsLOnTt5//33uX79ujGfuLg4+vfvz7lz59i4cSMTJkxg2LBhxqnonp6eHDp0iMuXL3P37l2rtFhUqlSJnj170qdPH/744w9CQkI4fPgw/v7+bNiwAYD33nuPjRs3Mm3aNC5dusTcuXPZtGmTSQtSclq2bEmDBg3o2LEjmzdv5vLly+zfv5+PP/6Yo0eP8vjxY4YNG8bOnTu5cuUK+/bt48iRI1SpYlgfbvjw4fzzzz+EhIRw/PhxduzYYXwtsY8++oht27bx+eefc/HiRRYvXsysWbMsft/06dOHsWPHWnROuqRrVFEelm0DnhcuVKpGDaXu3zc5POSvIYqJKM1Ejfpk2yfqie5J1tZLCJFnJDfI+MSJEyYzwpRS6ocfflBeXl7Kzs5OVapUSf3yyy9p5p3cgOc1a9aYpClUqJDJ7J/PPvtMlSpVSmk0GuMMH71er6ZPn658fX2VnZ2dKl68uGrdunWKs4zi6XQ69cUXXygPDw9lZ2enypcvryZPnmx8PTQ0VPXp00cVK1ZMOTg4KC8vLzVw4EDjZ72fn5/q0KGDGj9+vCpatKgqWLCgGjhwoMlg4YCAAPXiiy8qJyenJPfMHAsXLjQZpBwvLi5OjR8/Xnl6eio7OztVunRp1alTJ3X69Gljmnnz5il3d3fl5OSkOnbsqL744gtVqlQp4+sTJkxQNWvWTJJ3RESEeu+991SZMmWUnZ2dKleunOrZs6e6evWqio2NVd26dVPlypVT9vb2qkyZMmrYsGHGwe/Dhg1T3t7eysHBQRUvXlz17t1b3b17N8Xfw6pVq1TVqlWN9/+bb74xqUvi94hSStWsWdM4M1GprJvtpVFKqcwPsXKPiIgIChUqRHh4eKrNo1YVGWnYkf36dUNX15gxxpduPrrJq7++yrTW02jp1TJr6iOEEPlM3759efjwIWvXrs3uqphl4MCBXLhwIdUB5/mNJd/fMuYnJyhY0DC2Z/Vqoj4cxtrTS+lZoycAZVzKcHLISbQa6aEUQoj86ttvv6VVq1YUKFCATZs2sXjxYn744YfsrlauJcFPdnn0CI4ehf9WOaV6dc6W1NJlQX3O3TmHg60Db1V9C0ACHyGEyOcOHz7MlClTePToEV5eXsyYMSPZwd3CPBL8ZIebN6FtWzh3DrZuRTVuzMKTCxm2cRiPnz6mdMHSFHMult21FEKIfGPRokXZXYVUrVixIrurkKdI8JPVzp6F116Dq1ehRAmibfQMXtuHX0//CsAr3q+wpNMSShQokc0VFUIIIfImCX6y0s6d0LEjhIdDpUpcWPIdHQ8PJuBeADYaGz5v/jn/a/w/6eYSQgghMpF8y2aV336D1q0NgU/DhrB/Pxdc4wi4F4C7izs7++5kbJOxEvgIIYQQmUxafjKbUjBlinH6unrzTTRLloCTEx2LdmR++/l0qNxBxvgIIYQQWUSaGTKTTgdDhxoDn7CBPWjc+jrXn9wzJulfp78EPkIIkY9cu3aNZs2aUbVqVWrUqMHKlSuzu0r5jixymIjVFjmMjobu3eHPP1EaDXs/6EjLohuI08XR7blu/Pbmb9artBBCiFwjNDSUsLAwatWqxa1bt6hbty4XL15MsjGpsIwl39/S8pMZbt82rN/z558oBwemDq/HS4XXEKeL43Xf15n92uzsrqEQIh9r1qwZw4cPz+5q5FulS5emVq1aAJQqVYpixYpx//797K1UPiPBT2ZYsgQOH+ZpYVe6DnZjVKFD2GntmN56Omu7rsXNyS27ayiEELnC7t27ad++PWXKlEGj0Zi1/YQ55+h0Oj799FMqVKiAk5MT3t7efP755yTuDJk9ezaenp44OjpSv359Dh8+nGrZffv2RaPRoNFosLOzo0KFCowePZqYmJhk0x87dgydTmfcOT6r+Pv788ILL+Di4kKJEiXo2LEjAQEBaZ6X1v0w595PnDjReI/iH5UrV7bWpZlFgp/MMGIElwd3pVafaFa6hVKhcAX29dvHBy9+kOYuvEIIIZ6JioqiZs2azJ5tfou5Oed8/fXXzJkzh1mzZnH+/Hm+/vprpkyZwsyZM41pfv/9d0aMGMGECRM4fvw4NWvWpHXr1ty+fTvV8l999VVCQ0MJDg7mu+++Y+7cuUyYMCFJuvv379OnTx/mzZtn9rVZy65duxg6dCgHDx5ky5YtPHnyhFdeeYWoqKgUzzHnfpj7+6pWrRqhoaHGx969e612bWZJ19apeVi6d3XfulWp6Gjj06i4KPXcD8+pt1a8pR4+fmjlWgohROpWrlypnnvuOeXo6Kjc3NzUyy+/rCIjI5VShp2zP/jgA2PamJgY9d5776nixYsrBwcH1ahRI3X48GHj602bNlVDhw5VQ4cOVa6urqpo0aLqk08+UXq93phGp9OpyZMnK09PT+Xo6Khq1KihVq5cadVrIpmd4tN7Ttu2bVW/fv1Mjr3xxhuqZ8+exuf16tVTQ4cONT7X6XSqTJkyyt/fP8Xy4neHT5xv7dq1TY7FxMSoJk2aqF9++cWCq8k8t2/fVoDatWtXimksvR8p3fuUdqDPKEu+v6XlxxrmzYNWrQh/qz36p08AcLZzZlffXax4awWFHAtlcwWFEPlJaGgo3bt3p1+/fpw/f56dO3fyxhtvJOnSiTd69GhWr17N4sWLOX78OD4+PrRu3dpkHMrixYuxtbXl8OHDfP/990ybNo358+cbX/f39+eXX37hxx9/5OzZs3z44Yf06tWLXbt2AYbtI3JSy3fDhg3Ztm0bFy9eBODUqVPs3buXNm3aABAXF8exY8do2bKl8RytVkvLli05cOCA2eWcOXOG/fv3Y29vbzymlKJv3760aNGC3r17p5nH5MmTKViwYKqPq1evml2n5ISHhwPg5pb8sAxr3Y94ly5dokyZMnh5edGzZ88M199Sss6PFeh9K6G31bL89nYe7PmaMc0/AZCxPUKIbBEaGsrTp09544038PDwAKB69erJpo2KimLOnDksWrTI+MX/008/sWXLFhYsWMCoUaMAKFeuHN999x0ajQZfX1/+/fdfvvvuOwYOHEhsbCyTJ09m69atNGjQAAAvLy/27t3L3Llzadq0KYUKFcLX1zcLrt48Y8aMISIigsqVK2NjY4NOp+PLL7+kZ8+eANy9exedTkfJkiVNzitZsiQXLlxINe/169dTsGBBnj59SmxsLFqtllmzZhlf37dvH7///js1atQwjolZsmRJir+jIUOG0KVLl1TLLFOmTFqXnCK9Xs/w4cNp1KgRzz33XLJpMnI/Eqtfvz6LFi3C19eX0NBQJk2aRJMmTThz5gwuLi7pvg5LSPCTQXei7uB3fQohg3RcKAa9HgaglMpRf+EIIfKXmjVr8vLLL1O9enVat27NK6+8wltvvUWRIkWSpA0KCuLJkyc0atTIeMzOzo569epx/vx547EXX3zR5HOtQYMGTJ06FZ1OR2BgINHR0bRq1cok77i4OGrXrg1Ap06d6NSpk7UvNd1WrFjB0qVLWbZsGdWqVePkyZMMHz6cMmXK4Ofnl6G8mzdvzpw5c4iKiuK7777D1taWN9980/h648aN0ev1Zufn5uaWYotMWpYuXcrgwYONzzdt2kSTJk1M0gwdOpQzZ85k2bib+CAboEaNGtSvXx8PDw9WrFhB//79s6QOEvykx/374OfH0WFv0OHsJ9x8dBPH0o7Me3UGA+oMkMBHCJGtbGxs2LJlC/v372fz5s3MnDmTjz/+mEOHDlGhQgWrlxcZGQnAhg0bcHd3N3nNwcHB6uVZw6hRoxgzZgzdunUDDC1jV65cwd/fHz8/P4oVK4aNjQ1hYWEm54WFhVGqVKlU8y5QoAA+Pj4A/Pzzz9SsWZMFCxak+4t98uTJTJ48OdU0586do3z58kmOv/7669SvX9/4PPHvZ9iwYaxfv57du3dTtmzZFPPPyP1IS+HChalUqRKBgYEZyscSMubHUiEhqIYNYf16HPr0IzT8Jr5FfTk04BAD6w6UwEcIkSNoNBoaNWrEpEmTOHHiBPb29qxZsyZJOm9vb+zt7dm3b5/x2JMnTzhy5AhVq1Y1Hjt06JDJeQcPHqRixYrY2NhQtWpVHBwcuHr1Kj4+PiaPrJ7Cba7o6Gi0WtOvQBsbG2OLjL29PXXr1mXbtm3G1/V6Pdu2bTN27ZlDq9Uybtw4PvnkEx4/fpyuug4ZMoSTJ0+m+kip28vFxcXk9+Hk5AQYxh0NGzaMNWvWsH379jSDYmvdj+RERkYSFBRE6dKlM5SPJaTlxxJHj0K7dmjCwrjmCt3fhF61evND2x8oaF8wu2snhBCAIVDZtm0br7zyCiVKlODQoUPcuXOHKlWqJElboEAB3nnnHUaNGoWbmxvly5dnypQpREdHm7RUXL16lREjRjB48GCOHz/OzJkzmTp1KmD4gh05ciQffvgher2exo0bEx4ezr59+3B1dcXPz481a9YwduxYi8eHREZGmrQIhISEcPLkSWNdAWbNmsWaNWuMX8zmnNO+fXu+/PJLypcvT7Vq1Thx4gTTpk2jX79+xvNGjBiBn58fzz//PPXq1WP69OlERUXx9ttvW3QNnTt3ZtSoUcyePZuRI0dadC5krNsrJUOHDmXZsmWsW7cOFxcXbt26BUChQoWMAVLi+2rO/TDn3o8cOZL27dvj4eHBzZs3mTBhAjY2NnTv3t2q15gqq881y+VSnCq3YYNSzs5KgVI1aqhfN36tfj7+s8lUTyGEyAnOnTunWrdubZy6XqlSJTVz5kzj64mnuj9+/Fi99957qlixYilOdX/33XfVkCFDlKurqypSpIgaN26cyeefXq9X06dPV76+vsrOzk4VL15ctW7d2jh1euHChSo9Xzk7duxQQJKHn5+fMc2ECROUh4eHRedERESoDz74QJUvX145OjoqLy8v9fHHH6vY2FiT8mfOnKnKly+v7O3tVb169dTBgwdTrW9yU92VUsrf318VL17cuNxAdkvu/gBq4cKFxjSJ76tSad8Pc+59165dVenSpZW9vb1yd3dXXbt2VYGBgRm+JkumusveXokktzeIfu5cePddtHo9tGoFq1ZBRvb9EkKIXKRZs2bUqlWL6dOnZ3dVhEhRntvby9LlxVeuXEnlypVxdHSkevXqbNy4MX0FK8WjUcPRDhmCVq9ndb2CPF4rgY8QQgiRm+X44MfS5cX3799P9+7d6d+/PydOnKBjx4507NiRM2fOWFZwXBw333gFl2+/B8C/uR2P5/2Ak7MEPkIIIURuluO7verXr88LL7xgXCBKr9dTrlw53nvvPcaMGZMkfdeuXYmKimL9+vXGYy+++CK1atXixx9/TLO8+GazEzXLU+vUVZ5q4IueZen+3VZ8i+WcBbqEEEII8Uye6fZKz3LaBw4cMEkP0Lp1a4uX3/Y6dZVIO5gzvg3/+/miBD5CCCFEHpGjp7qnZzntW7duJZs+fhpfYrGxscTGxhqfx+9vElQALs+agN8bI3jy+AlPHj/JyKUIIYQQIhNFREQApLiHXUI5OvjJCv7+/kyaNCnJ8TpRwNuTDA8hhBBC5AqPHj2iUKHUNxTP0cFPepbTLlWqlEXpx44dy4gRI4zPHz58iIeHB1evXk3z5gmDiIgIypUrx7Vr19LsZxVyv9JD7pll5H5ZTu6ZZXLi/VJK8ejRI7M2ec3RwU/C5bQ7duwIPFtOe9iwYcme06BBA7Zt28bw4cONx7Zs2ZLi8tsODg7J7j1TqFChHPMLzS1cXV3lnllA7pfl5J5ZRu6X5eSeWSan3S9zGy1ydPADaS+n3adPH9zd3fH39wfggw8+oGnTpkydOpW2bduyfPlyjh49yrx587LzMoQQQgiRQ+T44Kdr167cuXOH8ePHc+vWLWrVqsXff/9tHNR89epVk83pGjZsyLJly/jkk08YN24cFStWZO3atTz33HPZdQlCCCGEyEFyfPADMGzYsBS7uXbu3JnkWOfOnencuXO6ynJwcGDChAnJdoWJ5Mk9s4zcL8vJPbOM3C/LyT2zTG6/Xzl+kUMhhBBCCGvK0YscCiGEEEJYmwQ/QgghhMhXJPgRQgghRL6SL4Of2bNn4+npiaOjI/Xr1+fw4cOppl+5ciWVK1fG0dGR6tWrs3Hjxiyqac5hyT1btGgRGo3G5OHo6JiFtc1eu3fvpn379pQpUwaNRsPatWvTPGfnzp3UqVMHBwcHfHx8WLRoUabXM6ew9H7t3LkzyftLo9GkuIVNXuPv788LL7yAi4sLJUqUoGPHjgQEBKR5Xn7+HEvPPcvPn2Nz5syhRo0axjV8GjRowKZNm1I9J7e9v/Jd8PP7778zYsQIJkyYwPHjx6lZsyatW7fm9u3byabfv38/3bt3p3///pw4cYKOHTvSsWNHzpw5k8U1zz6W3jMwLHwVGhpqfFy5ciULa5y9oqKiqFmzJrNnzzYrfUhICG3btqV58+acPHmS4cOHM2DAAP75559MrmnOYOn9ihcQEGDyHitRokQm1TBn2bVrF0OHDuXgwYNs2bKFJ0+e8MorrxAVFZXiOfn9cyw99wzy7+dY2bJl+eqrrzh27BhHjx6lRYsWdOjQgbNnzyabPle+v1Q+U69ePTV06FDjc51Op8qUKaP8/f2TTd+lSxfVtm1bk2P169dXgwcPztR65iSW3rOFCxeqQoUKZVHtcjZArVmzJtU0o0ePVtWqVTM51rVrV9W6detMrFnOZM792rFjhwLUgwcPsqROOd3t27cVoHbt2pViGvkcM2XOPZPPMVNFihRR8+fPT/a13Pj+ylctP3FxcRw7doyWLVsaj2m1Wlq2bMmBAweSPefAgQMm6QFat26dYvq8Jj33DCAyMhIPDw/KlSuX6l8MQt5j6VWrVi1Kly5Nq1at2LdvX3ZXJ9uEh4cD4ObmlmIaeY+ZMueegXyOAeh0OpYvX05UVFSK20TlxvdXvgp+7t69i06nM64OHa9kyZIpjhe4deuWRenzmvTcM19fX37++WfWrVvHr7/+il6vp2HDhly/fj0rqpzrpPQei4iI4PHjx9lUq5yrdOnS/Pjjj6xevZrVq1dTrlw5mjVrxvHjx7O7allOr9czfPhwGjVqlOoq9vn9cywhc+9Zfv8c+/fffylYsCAODg4MGTKENWvWULVq1WTT5sb3V65Y4VnkLg0aNDD5C6Fhw4ZUqVKFuXPn8vnnn2djzURe4Ovri6+vr/F5w4YNCQoK4rvvvmPJkiXZWLOsN3ToUM6cOcPevXuzuyq5hrn3LL9/jvn6+nLy5EnCw8NZtWoVfn5+7Nq1K8UAKLfJVy0/xYoVw8bGhrCwMJPjYWFhlCpVKtlzSpUqZVH6vCY99ywxOzs7ateuTWBgYGZUMddL6T3m6uqKk5NTNtUqd6lXr16+e38NGzaM9evXs2PHDsqWLZtq2vz+ORbPknuWWH77HLO3t8fHx4e6devi7+9PzZo1+f7775NNmxvfX/kq+LG3t6du3bps27bNeEyv17Nt27YU+zIbNGhgkh5gy5YtKabPa9JzzxLT6XT8+++/lC5dOrOqmavl9/eYNZw8eTLfvL+UUgwbNow1a9awfft2KlSokOY5+f09lp57llh+/xzT6/XExsYm+1qufH9l94jrrLZ8+XLl4OCgFi1apM6dO6cGDRqkChcurG7duqWUUqp3795qzJgxxvT79u1Ttra26ttvv1Xnz59XEyZMUHZ2durff//NrkvIcpbes0mTJql//vlHBQUFqWPHjqlu3bopR0dHdfbs2ey6hCz16NEjdeLECXXixAkFqGnTpqkTJ06oK1euKKWUGjNmjOrdu7cxfXBwsHJ2dlajRo1S58+fV7Nnz1Y2Njbq77//zq5LyFKW3q/vvvtOrV27Vl26dEn9+++/6oMPPlBarVZt3bo1uy4hS73zzjuqUKFCaufOnSo0NNT4iI6ONqaRzzFT6bln+flzbMyYMWrXrl0qJCREnT59Wo0ZM0ZpNBq1efNmpVTeeH/lu+BHKaVmzpypypcvr+zt7VW9evXUwYMHja81bdpU+fn5maRfsWKFqlSpkrK3t1fVqlVTGzZsyOIaZz9L7tnw4cONaUuWLKlee+01dfz48WyodfaIn4qd+BF/j/z8/FTTpk2TnFOrVi1lb2+vvLy81MKFC7O83tnF0vv19ddfK29vb+Xo6Kjc3NxUs2bN1Pbt27On8tkguXsFmLxn5HPMVHruWX7+HOvXr5/y8PBQ9vb2qnjx4urll182Bj5K5Y33l+zqLoQQQoh8JV+N+RFCCCGEkOBHCCGEEPmKBD9CCCGEyFck+BFCCCFEviLBjxBCCCHyFQl+hBBCCJGvSPAjhBBCiHxFgh8hhBBC5CsS/AghhBAiw3bv3k379u0pU6YMGo2GtWvXWnR+TEwMffv2pXr16tja2tKxY8dk08XGxvLxxx/j4eGBg4MDnp6e/PzzzxaVJcGPEEKIPCk2NpZ+/fpRvnx5XF1defHFFzlw4EB2VyvPioqKombNmsyePTtd5+t0OpycnHj//fdp2bJlium6dOnCtm3bWLBgAQEBAfz222/4+vpaVJZtumoohBBC5HBPnz7F09OTvXv3UrZsWVasWEH79u25fPkyBQsWzO7q5Tlt2rShTZs2Kb4e32Lz22+/8fDhQ5577jm+/vprmjVrBkCBAgWYM2cOAPv27ePhw4dJ8vj777/ZtWsXwcHBuLm5AeDp6WlxXaXlRwghElm0aBEajYbLly9nd1VynZx07woUKMD48eMpX748Wq2Wbt26YW9vT0BAQHZXLV8aNmwYBw4cYPny5Zw+fZrOnTvz6quvcunSJbPz+PPPP3n++eeZMmUK7u7uVKpUiZEjR/L48WOL6iLBj8hXNBqNWY+dO3caP8RTehw8eBDAJN3evXuTlKmUoly5cmg0Gtq1a2fyWuIyHB0dqVSpEsOGDSMsLCxJXmfPnqVXr164u7vj4OBAmTJl6NmzJ2fPnjXr+uPLO3r0aLKvN2vWjOeeey7J8aCgIAYPHoyXlxeOjo64urrSqFEjvv/+e5MPnfTmb41rEzmfXq+nePHiTJkyJVvKv3TpEvfv38fHxydbys/Prl69ysKFC1m5ciVNmjTB29ubkSNH0rhxYxYuXGh2PsHBwezdu5czZ86wZs0apk+fzqpVq3j33Xctqo90e4l8ZcmSJSbPf/nlF7Zs2ZLkeJUqVYx/uX722WdUqFAhSV6JP0AdHR1ZtmwZjRs3Njm+a9curl+/joODQ4r1ii8jJiaGvXv3MmfOHDZu3MiZM2dwdnYG4I8//qB79+64ubnRv39/KlSowOXLl1mwYAGrVq1i+fLldOrUyex7Ya4NGzbQuXNnHBwc6NOnD8899xxxcXHs3buXUaNGcfbsWebNm5ehMrLr2kTWOnz4MHfv3qVt27ZZXvbjx4/p1asXY8eOpVChQllefn7377//otPpqFSpksnx2NhYihYtanY+er0ejUbD0qVLjb/HadOm8dZbb/HDDz/g5ORkVj4S/Ih8pVevXibPDx48yJYtW5IcT6hNmzY8//zzaeb92muvsXLlSmbMmIGt7bP/WsuWLaNu3brcvXvXrDIGDBhA0aJFmTZtGuvWraN79+4EBQXRu3dvvLy82L17N8WLFzee+8EHH9CkSRN69+7N6dOn8fLySrOu5goJCaFbt254eHiwfft2SpcubXxt6NChBAYGsmHDhgyVkV3XJrLexo0b8fDwoFq1alla7pMnT+jcuTM+Pj6MHz8+S8sWBpGRkdjY2HDs2DFsbGxMXrNk/FXp0qVxd3c3CWCrVKmCUorr169TsWJFs/KRbi8hrKR79+7cu3ePLVu2GI/FxcWxatUqevToYVFeLVq0AAzBB8A333xDdHQ08+bNMwkOAIoVK8bcuXOJioqyenfClClTiIyMZMGCBSaBTzwfHx8++OCDDJVhzWu7ceMG/fv3p0yZMjg4OFChQgXeeecd4uLijGlOnDhBmzZtcHV1pWDBgrz88svGLszU9O3bN9mBlRMnTkSj0SR5fvHiRXr16kWhQoUoXrw4n376KUoprl27RocOHXB1daVUqVJMnTo1xTwDAwPp27cvhQsXplChQrz99ttER0enWdfkWKNe6b138TZs2GDS6pPW78saddbr9fTu3RuNRsPixYtNflci69SuXRudTsft27fx8fExeZQqVcrsfBo1asTNmzeJjIw0Hrt48SJarZayZcuanY8EP0KkITw8nLt375o87t27lySdp6cnDRo04LfffjMe27RpE+Hh4XTr1s2iMoOCggCMzcF//fUXnp6eNGnSJNn0L730Ep6enma3wiR3TXfv3uXJkycm6f766y+8vLxo2LChRfU3N39rXtvNmzepV68ey5cvp2vXrsyYMYPevXuza9cuY8Bw9uxZmjRpwqlTpxg9ejSffvopISEhNGvWjEOHDll0jWnp2rUrer2er776ivr16/PFF18wffp0WrVqhbu7O19//TU+Pj6MHDmS3bt3J5tHly5dePToEf7+/nTp0oVFixYxadKkbKlXRu/drVu3OHHiBK+99hpg3u8ro3UGGDx4MKGhoaxcudKkRVZYX2RkJCdPnuTkyZOA4Y+3kydPcvXqVSpVqkTPnj3p06cPf/zxByEhIRw+fBh/f3+T/9vnzp3j5MmT3L9/n/DwcJP8AHr06EHRokV5++23OXfuHLt372bUqFH069fP7C4vAJQQ+djQoUNVSv8NFi5cqIBkHw4ODknSHTlyRM2aNUu5uLio6OhopZRSnTt3Vs2bN1dKKeXh4aHatm2bbBlbt25Vd+7cUdeuXVPLly9XRYsWVU5OTur69evq4cOHClAdOnRI9Vpef/11BaiIiIgU06R2TfGPatWqKaWUCg8PN6vc9OavlLLqtfXp00dptVp15MiRJK/p9XqllFIdO3ZU9vb2KigoyPjazZs3lYuLi3rppZeSXEdISIjxmJ+fn/Lw8EiS94QJE0zeQ/HPBw0aZDz29OlTVbZsWaXRaNRXX31lPP7gwQPl5OSk/Pz8ks2zX79+Jsc7deqkihYtmuI9SE1G65WRe6eUUgsWLFBOTk7G/xvm/L4yWufLly8rQDk6OqoCBQoYH7t37zbzrglL7NixI9n/8/G/k7i4ODV+/Hjl6emp7OzsVOnSpVWnTp3U6dOnjXl4eHgkm0dC58+fVy1btlROTk6qbNmyasSIEcb3lbkkDBYiDbNnz04ySC9xn3W8Ll26MHz4cNavX8+rr77K+vXrmTFjRpplJF7Qy8PDg6VLl+Lu7s7169cBcHFxSTWP+NcjIiLSTJvcNQF89NFH6HQ6Yz7mlJve/AEePXpkVhlpXZter2ft2rW0b98+2fFZGo0GnU7H5s2b6dixo8nYodKlS9OjRw9++uknIiIicHV1Ne8i0zBgwADjzzY2Njz//PNcv36d/v37G48XLlwYX19fgoODk81jyJAhJs+bNGnCmjVrMlTP9NTLGvdu48aNNG/eHCcnJ7N+XxmtMxj+HymlzLktwgqaNWuW6v22s7Nj0qRJqbZemrNEQuXKlU2GF6SHBD9CpKFevXpmDXgGKF68OC1btmTZsmVER0ej0+l466230jwvPliwtbWlZMmS+Pr6otUaeqXjv+zjA4WUmBtIQMrXVKRIEePA7PgvsrTKTW/+Ceua0Wu7c+cOERERKU6jj08THR2d7EqwVapUQa/Xc+3aNasNxi1fvrzJ80KFCuHo6EixYsWSHE+uGzW5PIoUKQLAgwcP0h38pKdeGb13T548YcuWLfj7+xvzS+v3ldE6C5EaCX6EsLIePXowcOBAbt26RZs2bShcuHCa56QWYBUqVIjSpUtz+vTpVPM4ffo07u7uVmu5cHV1pUyZMpw5c8Yq+SUnu64tPVIaKJuwJSuh5FoHU2oxTOmvZUvTm8Ma9bLU3r17iYiIMI73sVR21FnkbTLgWQgr69SpE1qtloMHD1o8yysl7dq1IyQkJNlFFAH27NnD5cuXkyyiaI1yg4KCMnU/JGtcW/HixXF1dU01UCtevDjOzs7Jru574cIFtFot5cqVS/H8IkWKJLvc/pUrV1I8J6/I6L3bsGEDVatWNc6WM+f3JURmkuBHCCsrWLAgc+bMYeLEibRv394qeY4aNQonJycGDx6cpFn//v37DBkyBGdnZ0aNGmWV8uKNHj2aAgUKMGDAgGRXnA4KCuL777/PUBnWuDatVkvHjh3566+/kl1dWimFjY0Nr7zyCuvWrTMZVxAWFmZcnDK1liVvb2/Cw8NNWqlCQ0NZs2aNBVebO2X03m3cuNFkirs5vy8hMpN0ewmRhk2bNnHhwoUkxxs2bJjiont+fn5WrUPFihVZvHgxPXv2pHr16klWQb579y6//fYb3t7eVi3X29ubZcuW0bVrV6pUqWKywvP+/ftZuXIlffv2zVAZ1rq2yZMns3nzZpo2bcqgQYOoUqWKcYrz3r17KVy4MF988QVbtmyhcePGvPvuu9ja2jJ37lxiY2PTXEeoW7du/O9//6NTp068//77REdHM2fOHCpVqsTx48czdA8yQqPR0LRpU3bu3Jmp5aT33oWEhHD+/HnjhpXxzPl9CZFZJPgRIg0prQi7cOHCLF1xuHPnzlSuXBl/f39jUFC0aFGaN2/OuHHjzB48aqnXX3+d06dP880337Bu3TrmzJmDg4MDNWrUYOrUqQwcODDDZVjj2tzd3Tl06BCffvopS5cuJSIiAnd3d9q0aWPcIqRatWrs2bOHsWPH4u/vj16vp379+vz666/Ur18/1fyLFi3KmjVrGDFiBKNHj6ZChQr4+/tz6dKlbAt+4hd6S24BSmtL773buHEjhQoVolGjRibHzfl9CZFZNEraF4UQIlfauHEj7dq149SpU1SvXj27q5Os1157jYIFC7JixYrsrooQRtLyI4QQudSOHTvo1q1bjg18wLD2S0qrdwuRXaTlRwghhBD5isz2EkIIIUS+IsGPEEIIIfIVCX6EEEIIka9I8COEEEKIfEWCHyGEEELkKxL8CCGEECJfkeBHCCGEEPmKBD9CCCGEyFck+BFCCCFEviLBjxBCCCHyFQl+hBBCCJGvSPAjhBBCiHzl/71fGXdwuk5uAAAAAElFTkSuQmCC", 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", 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" ] @@ -7394,7 +7582,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 27, "metadata": { "id": "v-VbL8CNXsLL" }, @@ -7406,7 +7594,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": { "id": "4e1JLotAX9OC" }, @@ -7422,7 +7610,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": { "id": "JVkprHdiYpuS" }, @@ -7438,7 +7626,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ diff --git a/TEMPO/L2_validation_codes/TEMPO_O3_V04_validation_with_Pandora_and_DSCOVR.ipynb b/TEMPO/L2_validation_codes/TEMPO_O3_V04_validation_with_Pandora_and_DSCOVR.ipynb new file mode 100644 index 0000000..836f693 --- /dev/null +++ b/TEMPO/L2_validation_codes/TEMPO_O3_V04_validation_with_Pandora_and_DSCOVR.ipynb @@ -0,0 +1,9034 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "date: last-modified\n", + "---" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kjVKCytfEnRt" + }, + "source": [ + "# TEMPO O3 validation\n", + "\n", + "## Overview\n", + "\n", + "**This notebook illustrates comparison of TEMPO ozone total column retrievals with Pandora ground stations and DSCOVR EPIC retrievals.**\n", + "In this notebook:\n", + "\n", + "- It allows a user to choose Pandora station of interest. Since TEMPO spatial coverage is regional and limited to North America, it is user's responsibility to select the station within TEMPO's field of regard (FOR). If the selected station is outside the FOR, no TEMPO time series will be generated.\n", + "\n", + "- The user chooses a time period of interest, by providing start and end dates in the form `YYYYMMDD`. Please be aware that if the selected period of interest is outside the available time span of one of the sensors, the corresponding time series will not be generated.\n", + "\n", + "- DSCOVR L2 O3 data are interpolated to the location of the selected Pandora station.\n", + "\n", + "- Data files for all 3 sensors are downloaded on-the-fly. TEMPO and DSCOVR data are downloaded with earthaccess library that needs to be installed first.\n", + "\n", + "- TEMPO data files are read by means of netCDF library that needs to be installed first.\n", + "\n", + "- Pandora data files are ASCII files with header and space separated columns. Custome made function is included to read ozone total column along with its total uncertainty.\n", + "\n", + "- The resulting time series are plotted with and without uncertainty of Pandora measurement in the end of the notebook. Unlike TEMPO NO2 and HCHO retrievals, O3 retrievals do not have uncertainty written in the files.\n", + "DSCOVR data files also do not have uncertainty of O3 retrievals.\n", + "\n", + "- This notebook was tested on `TEMPO_O3TOT_L2_V04`, `DSCOVR_EPIC_L2_TO3_03`, and Pandora `L2_rout2p1-8` data files.\n", + "\n", + "## Prerequisites\n", + "\n", + "- `earthaccess`\n", + "- `h5py`\n", + "- `matplotlib`\n", + "- `netCDF4`\n", + "- `numpy`\n", + "- `scipy`\n", + "- `shapely`\n", + "- `numpy`\n", + "- `gnss_lib_py`\n", + "- `harmony`\n", + "- `getpass`\n", + "- `datetime`\n", + "\n", + "### Notebook Authors / Affiliation\n", + "\n", + "Alexander Radkevich / Atmospheric Science Data Center (ASDC)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![images.jpg](data:image/jpeg;base64,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)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "luJG0oPIPGjC" + }, + "source": [ + "# 1 Installing and importing necessary libraries" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1.1 Installing netCDF" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# un-comment if installation is necessary\n", + "#! pip3 install netCDF4" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1.2 Installing earthaccess" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# un-comment if installation is necessary\n", + "#! pip3 install earthaccess" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1.3 Installing gnss_lib_py\n", + "needed for handling GPS time" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# un-comment if installation is necessary\n", + "#!pip install -qq gnss_lib_py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1.4 Installing HarmonyPy and CMR\n", + "see https://harmony-py.readthedocs.io/en/main/\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "#!pip install harmony-py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1.5 Importing libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "id": "WINgHskhjiGc" + }, + "outputs": [], + "source": [ + "import earthaccess # needed to discover and download TEMPO data\n", + "import netCDF4 as nc # needed to read TEMPO data\n", + "import h5py # needed to read DSCOVR_EPIC_L2_TO3 files\n", + "\n", + "import os\n", + "import sys\n", + "\n", + "from shapely.geometry import Point, Polygon # needed to search a point within a polygon\n", + "from scipy.interpolate import griddata # needed to interpolate TEMPO data to the point of interest\n", + "from scipy import stats # needed for linear regression analysis\n", + "\n", + "import requests # needed to search for and download Pandora data\n", + "import codecs # needed to read Pandora data\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt # needed to plot the resulting time series\n", + "from urllib.request import urlopen # needed to search for and download Pandora data\n", + "from pathlib import Path # needed to check whether a needed data file is already downloaded\n", + "from datetime import datetime, timedelta # needed to work with time in plotting time series\n", + "from collections import defaultdict\n", + "\n", + "from harmony import BBox, Client, Collection, Request\n", + "from harmony.config import Environment\n", + "\n", + "import getpass\n", + "\n", + "import gnss_lib_py as glp" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ANsfYumeXjKm" + }, + "source": [ + "# 2 Define functions to work with TEMPO, Pandora, and DSCOVR data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "OQGUPNbgXyKN" + }, + "source": [ + "# 2.1 functions to work with Pandora" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RB9IWsMvX6Kd" + }, + "source": [ + "### 2.1.1 function creating the list of available Pandora sites" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "id": "krckXWArj_Pg" + }, + "outputs": [], + "source": [ + "def read_pandora_web():\n", + " url = \"https://data.pandonia-global-network.org/\"\n", + " page = urlopen(url)\n", + " html_bytes = page.read()\n", + " html = html_bytes.decode(\"utf-8\")\n", + "\n", + " big_line = str(html)\n", + " lines = big_line.split(\"\\n\")\n", + "\n", + " ref_lines = [i for i in lines if \"href\" in i]\n", + " refs = []\n", + " for line in ref_lines:\n", + " pos1 = line.find('\"')\n", + " pos2 = line.rfind('\"')\n", + " if 0 < pos1 < pos2 and line[pos2 - 1] == \"/\" and line[pos1 + 1] == \".\":\n", + " refs.append(line[pos1 + 3 : pos2 - 1])\n", + "\n", + " return refs" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "qD_phZnXi_1c" + }, + "source": [ + "### 2.1.2 functions allowing user to choose a Pandora site of interest" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "F0owYRhBkE9C" + }, + "outputs": [], + "source": [ + "# function check_site checks whether user entered site is in the list of available Pandora sites\n", + "def check_site(site_name, refs):\n", + " site_list = []\n", + " for line in refs:\n", + " if site_name in line:\n", + " site_list.append(line)\n", + "\n", + " return site_list\n", + "\n", + "\n", + "# function take_pandora_sites takes user input and checks whether the site is in the list of available Pandora sites\n", + "def take_pandora_sites(refs):\n", + " print(\"please select a Pandora site name from the list\")\n", + " for ref in refs:\n", + " print(ref)\n", + "\n", + " answer = \"y\"\n", + " while answer == \"y\":\n", + " site_name = input(\"Enter a name of a Pandora site: \")\n", + " print(site_name)\n", + " site_list = check_site(site_name, refs)\n", + " site_num = len(site_list)\n", + " if site_num == 0:\n", + " print(\"site \", site_name, \"was not found\")\n", + " continue\n", + "\n", + " if site_num > 1:\n", + " print(\"there are \", site_num, \" site names, select one from\")\n", + " for site in site_list:\n", + " print(site)\n", + "\n", + " site_name = input(\"Enter an exact name of a Pandora site: \")\n", + " if site_list.count(site_name) != 1:\n", + " print(\"Entered name is not the exact match of one of the following sites\")\n", + " for site in site_list:\n", + " print(site)\n", + " print(\"program terminated\")\n", + " sys.exit()\n", + "\n", + " for site in site_list:\n", + " if site == site_name:\n", + " pandora_site = site_name\n", + " print(\"site \", site_name, \"was found and added to the list of sites \")\n", + " break\n", + "\n", + " if site_num == 1:\n", + " pandora_site = site_list[0]\n", + " print(\"site \", site_list[0], \"was found and added to the list of sites \")\n", + "\n", + " answer = \"n\"\n", + "\n", + " return pandora_site" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VfcefgF-jPx5" + }, + "source": [ + "### 2.1.3 function creating the list links to O3 data files at the selected Pandora site" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "BVAhJfEgkLfN" + }, + "outputs": [], + "source": [ + "# Pandora site may have several instruments. In this case each instrument has its own directory.\n", + "# However, the most recent version of the O3 data, rout2p1_8, is available only in one of these directories.\n", + "# The function creates all possible links, but some of them may be non-existing. This is checked and cleared later.\n", + "def instrument_path(site):\n", + " url = \"https://data.pandonia-global-network.org/\" + site + \"/\"\n", + " page = urlopen(url)\n", + " html_bytes = page.read()\n", + " html = html_bytes.decode(\"utf-8\")\n", + " html_len = len(html)\n", + "\n", + " pos1 = 0\n", + " big_line = str(html)\n", + " lines = big_line.split(\"\\n\")\n", + "\n", + " ref_lines = [i for i in lines if \"href\" in i]\n", + " links = []\n", + " for line in ref_lines:\n", + " pos1 = line.find('\"')\n", + " pos2 = line.rfind('\"')\n", + " if 0 < pos1 < pos2 and line[pos2 - 1] == \"/\" and line[pos1 + 3 : pos1 + 10] == \"Pandora\":\n", + " link = (\n", + " url\n", + " + line[pos1 + 3 : pos2]\n", + " + \"L2/\"\n", + " + line[pos1 + 3 : pos2 - 1]\n", + " + \"_\"\n", + " + site\n", + " + \"_L2_rout2p1-8.txt\"\n", + " )\n", + " print(link)\n", + " links.append(link)\n", + "\n", + " return links\n", + "\n", + "\n", + "# Defining functions downloading Pandora data file with given url\n", + "def download(url):\n", + " response = requests.get(url)\n", + " response_code = response.status_code\n", + "\n", + " file_name = url.split(\"/\")[-1]\n", + "\n", + " if response_code == 200:\n", + " content = response.content\n", + " data_path = Path(file_name)\n", + " data_path.write_bytes(content)\n", + "\n", + " return file_name, response_code" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "73In3NHKjfWF" + }, + "source": [ + "### 2.1.4 functions reading Pandora O3 data file rout2p1-8" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "WkRUYX9Wkb4-" + }, + "outputs": [], + "source": [ + "# function read_timestamp converts Pandora timestamp of the format\n", + "# 'yyyymmddThhmmssZ' into a set of 6 numbers:\n", + "# integer year, month, day, hour, minute, and real second.\n", + "def read_timestamp(timestamp):\n", + " yyyy = int(timestamp[0:4])\n", + " mm = int(timestamp[4:6])\n", + " dd = int(timestamp[6:8])\n", + " hh = int(timestamp[9:11])\n", + " mn = int(timestamp[11:13])\n", + " ss = float(timestamp[13:17])\n", + "\n", + " return yyyy, mm, dd, hh, mn, ss\n", + "\n", + "\n", + "# function read_Pandora_O3_rout2p1_8. It is to be used for the future validation efforts.\n", + "# The difference with the original version is that instead of discriminating negative values of the total O3 column,\n", + "# it uses quality flags. It was previously found that QF == 0 does not occure often enough,\n", + "# so we will have to use QF == 10 (not-assured high quality).\n", + "#\n", + "# function read_Pandora_O3_rout2p1_8 reads Pandora total O3 column data files ending with rout2p1-8.\n", + "# Arguments:\n", + "# fname - name file to be read, string;\n", + "# start_date - beginning of the time interval of interest,\n", + "# integer of the form YYYYMMDD;\n", + "# end_date - end of the time interval of interest,\n", + "# integer of the form YYYYMMDD.\n", + "#\n", + "# if start_date is greater than end_date, the function returns a numpy array\n", + "# with shape (0, 8), otherwise it returns an 8-column numpy array\n", + "# with with columns being year, month, day, hour, minute, second of observation\n", + "# and retrieved total O3 column along with its total uncertainty.\n", + "#\n", + "# O3 column and its uncertainties are in mol/m^2, so conversion to Dobson Units is\n", + "# performed by multiplication by DU_conversion = 1./4.4615E-04\n", + "def read_Pandora_O3_rout2p1_8_v2(fname, start_date, end_date):\n", + " DU_conversion = 1.0 / 4.4615e-04\n", + "\n", + " data = np.empty([0, 8])\n", + " if start_date > end_date:\n", + " return -999.0, -999.0, data\n", + "\n", + " with codecs.open(fname, \"r\", encoding=\"utf-8\", errors=\"ignore\") as f:\n", + " while True:\n", + " # Get next line from file\n", + " line = f.readline()\n", + "\n", + " if line.find(\"Short location name:\") >= 0:\n", + " loc_name = line.split()[-1] # location name, to be used in the output file name\n", + " print(\"location name \", loc_name)\n", + "\n", + " if line.find(\"Location latitude [deg]:\") >= 0:\n", + " lat = float(line.split()[-1]) # location latitude\n", + " print(\"location latitude \", lat)\n", + "\n", + " if line.find(\"Location longitude [deg]:\") >= 0:\n", + " lon = float(line.split()[-1]) # location longitude\n", + " print(\"location longitude \", lon)\n", + "\n", + " if line.find(\"--------\") >= 0:\n", + " break\n", + "\n", + " while True:\n", + " # Get next line from file\n", + " line = f.readline()\n", + "\n", + " if line.find(\"--------\") >= 0:\n", + " break\n", + "\n", + " while True:\n", + " # now reading line with data\n", + " line = f.readline()\n", + "\n", + " if not line:\n", + " break\n", + "\n", + " line_split = line.split()\n", + "\n", + " yyyy, mm, dd, hh, mn, ss = read_timestamp(line_split[0])\n", + " date_stamp = yyyy * 10000 + mm * 100 + dd\n", + " if date_stamp < start_date or date_stamp > end_date:\n", + " continue\n", + "\n", + " QF = int(line_split[35]) # quality flag\n", + "\n", + " if QF == 0 or QF == 10:\n", + " column = float(line_split[38])\n", + " # column_unc = float(line_split[42]) # Total uncertainty of ozone total vertical column amount [moles per square meter]\n", + " column_unc = float(\n", + " line_split[43]\n", + " ) # rms-based uncertainty of ozone total vertical column amount [moles per square meter]\n", + " data = np.append(\n", + " data,\n", + " [\n", + " [\n", + " yyyy,\n", + " mm,\n", + " dd,\n", + " hh,\n", + " mn,\n", + " ss,\n", + " column * DU_conversion,\n", + " column_unc * DU_conversion,\n", + " ]\n", + " ],\n", + " axis=0,\n", + " )\n", + "\n", + " return lat, lon, loc_name, data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ZiCdNpuqkK1H" + }, + "source": [ + "# 2.2 function reading DSCOVR O3 data files" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "id": "BcJx9AYfkikE" + }, + "outputs": [], + "source": [ + "def read_epic_l2_to3(fname):\n", + " # function read_epic_l2_to3 reads DSCOVR_EPIC_L2_TO3 product file given by its fname\n", + " # and returns arrays of 2D latitudes and longitudes, and total O3 column\n", + " # along with their fill values and time.\n", + "\n", + " try:\n", + " with h5py.File(fname, \"r\") as f:\n", + " item = f[\"Latitude\"]\n", + " lat2D = item[:]\n", + " # fv_geo = item.fillvalue\n", + " fv_geo = lat2D[0, 0]\n", + "\n", + " item = f[\"Longitude\"]\n", + " lon2D = item[:]\n", + "\n", + " item = f[\"Ozone\"]\n", + " o3_2D = item[:]\n", + " # commented out line below is the general way to read the fill value\n", + " # however, attribute '_FillValue' is not set for any array in the current version of the product\n", + " # at the same time, arrays do have apparent fill values that can be seen in the\n", + " # corners of the image\n", + " # fv_o3 = item.fillvalue\n", + " fv_o3 = o3_2D[0, 0]\n", + "\n", + " item = f[\"YearDaySeconds\"]\n", + " YearDaySeconds = item[:]\n", + " year = int(YearDaySeconds[0])\n", + " day_of_year = int(YearDaySeconds[1])\n", + " seconds = int(YearDaySeconds[2])\n", + "\n", + " except Exception as e:\n", + " print(\"Unable to find or read hdf5 input granule file \", fname)\n", + " raise e\n", + "\n", + " return lat2D, lon2D, o3_2D, fv_o3, fv_geo, year, day_of_year, seconds" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QgtWxPbPk37c" + }, + "source": [ + "# 2.3 function reading TEMPO_O3TOT_L2" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "id": "FRivRspskqxc" + }, + "outputs": [], + "source": [ + "def read_TEMPO_O3tot_L2(fn):\n", + " \"\"\"\n", + " function read_TEMPO_O3TOT_L2 reads the following arrays from the\n", + " TEMPO L2 O3 product TEMPO_O3TOT_L2_V04:\n", + " column_amount_o3;\n", + " quality_flag.\n", + " It returns respective fields along with coordinates of the pixels.\n", + "\n", + " If one requested variables cannot be read, all returned variables are zeroed\n", + " \"\"\"\n", + " var_name = \"column_amount_o3\"\n", + " var_QF_name = \"quality_flag\"\n", + " var_CF_name = \"fc\" # cloud fraction\n", + "\n", + " try:\n", + " ds = nc.Dataset(fn)\n", + "\n", + " prod = ds.groups[\"product\"] # this opens group product, /product, as prod\n", + "\n", + " var = prod.variables[var_name] # this reads variable column_amount_o3 from prod (group product, /product)\n", + " total_O3_column = np.ma.getdata(var[:])\n", + " fv_prod = var.getncattr(\"_FillValue\")\n", + " prod_unit = var.getncattr(\"units\")\n", + "\n", + " var_QF = prod.variables[var_QF_name] # this reads variable quality_flag from prod (group product, /product)\n", + " total_O3_column_QF = np.ma.getdata(var_QF[:])\n", + "\n", + " var_CF = prod.variables[var_CF_name] # this reads variable fc from prod (group product, /product)\n", + " eff_CF = np.ma.getdata(var_CF[:]) # effective cloud fraction\n", + "\n", + " geo = ds.groups[\"geolocation\"] # this opens group geolocation, /geolocation, as geo\n", + "\n", + " lat = np.ma.getdata(geo.variables['latitude'][:], subok=True) # this reads variable latitude from geo (geolocation group, /geolocation) into a numpy array, subok=True is the default option and can be omitted\n", + " lon = np.ma.getdata(geo.variables['longitude'][:], subok=True) # this reads variable longitude from geo (geolocation group, /geolocation) into a numpy array, subok=True is the default option and can be omitted\n", + " SZA = np.ma.getdata(geo.variables['solar_zenith_angle'][:], subok=True) # this reads variable solar_zenith_angle from geo (geolocation group, /geolocation) into a numpy array, subok=True is the default option and can be omitted\n", + " VZA = np.ma.getdata(geo.variables['viewing_zenith_angle'][:], subok=True) # this reads variable viewing_zenith_angle from geo (geolocation group, /geolocation) into a numpy array, subok=True is the default option and can be omitted\n", + " fv_geo = geo.variables['latitude'].getncattr('_FillValue')\n", + " time = np.ma.getdata(geo.variables['time'][:], subok=True) # this reads variable longitude from geo (geolocation group, /geolocation) into a numpy array, subok=True is the default option and can be omitted\n", + "\n", + " ds.close()\n", + "\n", + " except:\n", + " print(\"variable \" + var_name + \" cannot be read in file \" + fn)\n", + " lat = 0.0\n", + " lon = 0.0\n", + " SZA = 0.0\n", + " VZA = 0.0\n", + " fv_geo = 0.0\n", + " time = 0.0\n", + " total_O3_column = 0.0\n", + " total_O3_column_QF = 0.0\n", + " eff_CF = 0.0\n", + " fv_prod = 0.0\n", + " prod_unit = \"\"\n", + "\n", + " return lat, lon, SZA, VZA, fv_geo, time, total_O3_column, total_O3_column_QF, eff_CF, fv_prod, prod_unit" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "OkRA1M7PcIYx" + }, + "source": [ + "## 2.4 auxiliary functions to handle data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "AKzFo9EjcTzx" + }, + "source": [ + "### 2.4.1 function smoothing Pandora retievals and interpolating them onto TEMPO times of observations" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "y2V2BMMowgUp" + }, + "outputs": [], + "source": [ + "# Smooth Pandora retievals and interplate them into other time series times\n", + "# Pandora timeseries has significantly more data points then TEMPO and DSCOVR. It is also very noisy.\n", + "# To make comparison easier, Pandora timeseries is interpolated to the moments of TEMPO and DSCOVR observations.\n", + "\n", + "# Interpolation is performed by the function defined below with the help of Gaussian smooting as follow:\n", + "# x_int(t) = SUM(x_p(t_i)*wt(t_i, t)),\n", + "#\n", + "# wt(t_i, t) = exp(-(t - t_i)^2/(2 * sigma^2))/SUM(exp(-(t - t_i)^2/(2 * sigma^2))),\n", + "#\n", + "# where sums are taken over times t_i falling into time interval (t-dt_max, t+dt_max).\n", + "#\n", + "# Parameters dt_max and sigma can be chosen by the user.\n", + "def gauss_interpolation(timeseries, new_times):\n", + " #\n", + " # function gauss_interpolation takes 2D array timeseries with function\n", + " # to be interpolated and 1D array new_times containing times to which\n", + " # the function is to be interpolated\n", + " # arguments:\n", + " # timeseries - array with at least 2 columns,\n", + " # 1st column - times, 2nd (3rd, ...) column(s) - function to be interpolated\n", + " # new_times - 1D array of times to which the function(s) to be interpolated\n", + " #\n", + " # parameters\n", + " # dt_max = 0.0028125 - 4 minutes 3 seconds (243 seconds) expressed in days\n", + " # sigma = 0.0009375 - 1 minute 21 seconds (81 seconds) expressed in days\n", + "\n", + " dt_max = 0.0028125 # 4 minutes 3 seconds (243 seconds) expressed in days\n", + " sigma = 0.0009375 # 1 minute 21 seconds (81 seconds) expressed in days\n", + "\n", + " nnt = len(new_times)\n", + " (nt, nfun) = timeseries.shape\n", + "\n", + " timeseries_smooth = np.empty([0, nfun])\n", + " data_subset = np.empty(nnt, dtype=object)\n", + " cnt = 0\n", + " for new_time in new_times:\n", + " llim = new_time - dt_max\n", + " ulim = new_time + dt_max\n", + "\n", + " timeseries_subset = timeseries[((timeseries[:, 0] < ulim) & (timeseries[:, 0] > llim))]\n", + " if len(timeseries_subset) < 1:\n", + " continue\n", + " t_delta = timeseries_subset[:, 0] - new_time\n", + " wt = np.exp(-(t_delta**2) / (2.0 * sigma**2))\n", + " wt = wt / np.sum(wt)\n", + " timeseries_subset = np.append(timeseries_subset, np.transpose([wt]), axis=1)\n", + " for t in timeseries_subset:\n", + " print(f\"{t[0]:.1f} {t[1]:.3e} {t[2]:.2e} {t[3]:.4e}\")\n", + " data_subset[cnt] = timeseries_subset\n", + " cnt += 1\n", + "\n", + " timeseries_smooth_loc = np.array([new_time])\n", + " for ifun in range(1, nfun):\n", + " timeseries_smooth_loc = np.append(\n", + " timeseries_smooth_loc, np.sum(timeseries_subset[:, ifun] * wt)\n", + " )\n", + " print(\n", + " f\"{timeseries_smooth_loc[0]:.1f} {timeseries_smooth_loc[1]:.3e} {timeseries_smooth_loc[2]:.2e}\\n\"\n", + " )\n", + "\n", + " timeseries_smooth = np.append(timeseries_smooth, np.array([timeseries_smooth_loc]), axis=0)\n", + "\n", + " return timeseries_smooth, data_subset" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "nNoGDd0MdP9Y" + }, + "source": [ + "### 2.4.2 function computing linear regression with zero intercept" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "id": "_9-xGnEeyyVR" + }, + "outputs": [], + "source": [ + "# custom made function regress_0intercept takes vectors x and y\n", + "# representing coordinates and function values at these coordinates\n", + "# and returns slope of regression fit y = a*x\n", + "# along with coefficient of determination\n", + "def regress_0intercept(x, y):\n", + " success = False\n", + "\n", + " if len(x) != len(y):\n", + " a = 0.0\n", + " R2 = 0.0\n", + "\n", + " elif len(x) == 1:\n", + " if x[0] != 0.0:\n", + " a = y[0] / x[0]\n", + " R2 = 1.0\n", + " success = True\n", + " else:\n", + " if y[0] != 0.0:\n", + " a = np.inf\n", + " R2 = 1.0\n", + " success = True\n", + " else:\n", + " a = np.inf\n", + " R2 = 0.0\n", + "\n", + " else:\n", + " xy_sum = np.dot(x, y)\n", + " x2_sum = np.dot(x, x)\n", + " a = xy_sum / x2_sum\n", + "\n", + " res_y = y - a * x\n", + " res_sum_2 = np.dot(res_y, res_y)\n", + " y2_sum = np.dot(y, y)\n", + " sum_tot_2 = y2_sum - len(y) * np.mean(y) ** 2\n", + " R2 = 1.0 - res_sum_2 / sum_tot_2\n", + "\n", + " success = True\n", + "\n", + " return success, a, R2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.4.3 function retrieving the collection ID by its short name and version\n", + "The ID is needed as input for L2 subsetter" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def get_collectionID_earthaccess(short_name, version):\n", + " collectionID = '-1'\n", + "\n", + " results = earthaccess.search_datasets(short_name=short_name, version=version)\n", + "\n", + " if len(results)==1: \n", + " collectionID = results[0]['meta']['concept-id']\n", + " else: \n", + " raise Exception('Specify valid collection')\n", + "\n", + " return collectionID" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.4.4 function getting ozone total column at the point of interest (POI)\n", + "The functions takes a POI and a data filename as inputs\n", + "\n", + "The function returns:\n", + "\n", + "geolocations (arrays lat_loc and lon_loc) of 4 TEMPO pixels such that the quadrilateral of their centers contains the POI;\n", + "\n", + "Ozone columns at those 4 pixels along with their quality flags (arrays total_O3_column_loc and total_O3_column_QF_loc);\n", + "\n", + "Average of the ozone total column at the PO, see avg_time, total_O3_column." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "def get_local_O3tot(POI, fname):\n", + " lat, lon, SZA, VZA, fv_geo, time, total_O3_column, total_O3_column_QF\\\n", + ", eff_CF, fv_prod, prod_unit = read_TEMPO_O3tot_L2(fname)\n", + "\n", + "# un-comment the line below if TEMPO granules are not needed after processing\n", + "# os.remove(fname)\n", + "\n", + " if isinstance(lat, float):\n", + " return -1., -1.\\\n", + ", -1., -1.\\\n", + ", .1, -1.\\\n", + ", .1, -1.\n", + "\n", + " nx = lon.shape[0]\n", + " ny = lon.shape[1]\n", + "\n", + "# check whether POI is in the granule. If not - move to the next granule\n", + " pp = np.array([POI[1], POI[0]])\n", + " p = Point(pp) # POI[0] - latitudes, POI[1] - longitudes\n", + "\n", + " POI_found = False\n", + " for ix in range(nx-1):\n", + " for iy in range(ny-1):\n", + " if lon[ix, iy] == fv_geo: \n", + " continue\n", + " if lat[ix, iy] == fv_geo: \n", + " continue\n", + " if lon[ix, iy+1] == fv_geo: \n", + " continue\n", + " if lat[ix, iy+1] == fv_geo: \n", + " continue\n", + " if lon[ix+1, iy+1] == fv_geo: \n", + " continue\n", + " if lat[ix+1, iy+1] == fv_geo: \n", + " continue\n", + " if lon[ix+1, iy] == fv_geo: \n", + " continue\n", + " if lat[ix+1, iy] == fv_geo: \n", + " continue\n", + "\n", + " coords_poly_loc = [[lon[ix, iy], lat[ix, iy]], [lon[ix, iy+1], lat[ix, iy+1]] \\\n", + ", [lon[ix+1, iy+1], lat[ix+1, iy+1]], [lon[ix+1, iy], lat[ix+1, iy]]]\n", + " poly_loc = Polygon(coords_poly_loc)\n", + "\n", + " if p.within(poly_loc):\n", + " print('scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF')\n", + " for scl in range(ix, ix+2, 1):\n", + " for pix in range(iy, iy+2, 1):\n", + " print(\" %3d %4d %9.6f %10.6f %7.3f %7.3f %6.2f %5i %5.3f\"\\\n", + " %(scl, pix, lat[scl, pix], lon[scl, pix], SZA[scl, pix], VZA[scl, pix]\\\n", + ", total_O3_column[scl, pix], total_O3_column_QF[scl, pix], eff_CF[scl, pix]))\n", + "\n", + " POI_found = True\n", + " print('POI', POI_name, 'at', POI[0], POI[1], ' found')\n", + "\n", + " total_O3_column_loc = np.array([total_O3_column[ix, iy],\\\n", + " total_O3_column[ix, iy+1],\\\n", + " total_O3_column[ix+1, iy+1],\\\n", + " total_O3_column[ix+1, iy]])\n", + " total_O3_column_QF_loc = np.array([total_O3_column_QF[ix, iy],\\\n", + " total_O3_column_QF[ix, iy+1],\\\n", + " total_O3_column_QF[ix+1, iy+1],\\\n", + " total_O3_column_QF[ix+1, iy]])\n", + " eff_CF_loc = np.array([eff_CF[ix, iy], eff_CF[ix, iy+1],\\\n", + " eff_CF[ix+1, iy+1], eff_CF[ix+1, iy]])\n", + " lat_loc = np.array([lat[ix, iy], lat[ix, iy+1],\\\n", + " lat[ix+1, iy+1], lat[ix+1, iy]])\n", + " lon_loc = np.array([lon[ix, iy], lon[ix, iy+1],\\\n", + " lon[ix+1, iy+1], lon[ix+1, iy]])\n", + " SZA_loc = np.array([SZA[ix, iy], SZA[ix, iy+1],\\\n", + " SZA[ix+1, iy+1], SZA[ix+1, iy]])\n", + " VZA_loc = np.array([VZA[ix, iy], VZA[ix, iy+1],\\\n", + " VZA[ix+1, iy+1], VZA[ix+1, iy]])\n", + " time_loc = np.array([time[ix], time[ix], time[ix+1], time[ix+1]])\n", + "\n", + " break\n", + "\n", + " if POI_found: \n", + " break\n", + "\n", + " if not POI_found:\n", + " return -1., -1., -1., -1.\\\n", + ", -1., -1., -1.\\\n", + ", .1, -1.\\\n", + ", .1, -1.\n", + " \n", + " \"\"\"\n", + " Here is an excerpt from Total Ozone Level 2 and 3 Data products: User Guide, Version: V2.1, January 6, 2026:\n", + " The quality_flag variable in the product group of the L2 file provides the quality of the product.\n", + " Retrieval of the highest quality has a quality_flag equal to “0”, a solar zenith angle (SZA) less than 80 degrees,\n", + " a viewing zenith angle (VZA) less than 80 degrees, and a cloud fraction less than 0.5.\n", + "\n", + " Suppose a data user aims to perform an analysis with a larger volume of data, even if it is less accurate.\n", + " In that case, the data with quality_flag values of “1” (Glint contamination), “2” (SZA greater than 84 degrees),\n", + " or “5” (SOI greater than 4 sigma) can be used.\n", + "\n", + " To ensure reasonable data quality, it is recommended to additionally filter for SZA and VZA less than 80 degrees,\n", + " and an effective cloud fraction below 0.5.\n", + "\n", + " MASKS for High and All quality averages are made accordingly.\n", + " \"\"\"\n", + " mask_noFV = (total_O3_column_loc != fv_prod)\n", + " mask_HiQ = mask_noFV&(total_O3_column_QF_loc == 0)\\\n", + " &(eff_CF_loc < 0.5)\\\n", + " &(SZA_loc < 80.)\\\n", + " &(VZA_loc < 80.)\n", + "\n", + " points_HiQ = np.column_stack((lon_loc[mask_HiQ], lat_loc[mask_HiQ]))\n", + " ff_HiQ = total_O3_column_loc[mask_HiQ]\n", + " time_HiQ = time_loc[mask_HiQ]\n", + "\n", + " if ff_HiQ.shape[0] == 0:\n", + " avg_time_HiQ = .1\n", + " total_O3_column_HiQ = -1.\n", + " else:\n", + " try:\n", + " total_O3_column_HiQ = griddata(points_HiQ, ff_HiQ, pp,\\\n", + "method='linear', fill_value=np.mean(ff_HiQ), rescale=False)[0]\n", + " avg_time_noFV = griddata(points_HiQ, time_noFV, pp,\\\n", + "method='linear', fill_value=np.mean(time_HiQ), rescale=False)[0]\n", + " except Exception:\n", + " total_O3_column_HiQ = np.mean(ff_HiQ)\n", + " avg_time_HiQ = np.mean(time_HiQ)\n", + "\n", + " mask_AllQ = mask_noFV&\\\n", + " ((total_O3_column_QF_loc == 0)\n", + " |(total_O3_column_QF_loc == 1)\n", + " |(total_O3_column_QF_loc == 2)\n", + " |(total_O3_column_QF_loc == 5))\n", + "\n", + " points_AllQ = np.column_stack((lon_loc[mask_AllQ], lat_loc[mask_AllQ]))\n", + " ff_AllQ = total_O3_column_loc[mask_AllQ]\n", + " time_AllQ = time_loc[mask_AllQ]\n", + "\n", + " if ff_AllQ.shape[0] == 0:\n", + " avg_time_AllQ = .1\n", + " total_O3_column_AllQ = -1.\n", + " else:\n", + " try:\n", + " total_O3_column_AllQ = griddata(points_AllQ, ff_AllQ, pp,\\\n", + "method='linear', fill_value=np.mean(ff_AllQ), rescale=False)[0]\n", + " avg_time_AllQ = griddata(points_AllQ, time_noFV, pp,\\\n", + "method='linear', fill_value=np.mean(time_AllQ), rescale=False)[0]\n", + " except Exception:\n", + " total_O3_column_AllQ = np.mean(ff_AllQ)\n", + " avg_time_AllQ = np.mean(time_AllQ)\n", + "\n", + " return lat_loc, lon_loc,SZA_loc, VZA_loc\\\n", + ", total_O3_column_loc, total_O3_column_QF_loc, eff_CF_loc\\\n", + ", avg_time_HiQ, total_O3_column_HiQ\\\n", + ", avg_time_AllQ, total_O3_column_AllQ" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3.5 function reading compiled timeseries" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "def read_timeseries(ts_fname, yyyy_ini, mm_ini, dd_ini, yyyy_fin, mm_fin, dd_fin):\n", + "\n", + " fout = open(ts_fname, 'r')\n", + " lines = fout.readlines()\n", + " fout.close()\n", + "\n", + " data_lines = lines[2 : ]\n", + "\n", + " yyyy = yyyy_ini\n", + " mm = mm_ini\n", + " dd = dd_ini\n", + " hh = 0\n", + " mn = 0\n", + " ss = 0\n", + " dt0 = datetime(yyyy, mm, dd, hh, mn, ss)\n", + "\n", + " yyyy = yyyy_fin\n", + " mm = mm_fin\n", + " dd = dd_fin\n", + " hh = 23\n", + " mn = 59\n", + " ss = 59\n", + " dt_fin = datetime(yyyy, mm, dd, hh, mn, ss) # this is time 1 second before the end of the timeframe of interest\n", + "\n", + " time_series = np.empty([0, 3])\n", + "\n", + " for line in data_lines:\n", + " split = line.split()\n", + " date = split[0]\n", + " time = split[1]\n", + "# dt below is time since the beginning of the period of interest in hours\n", + " dt = (datetime.strptime(date+' '+time, '%Y-%m-%d %H:%M:%S.%f') - dt0).total_seconds()/86400.\n", + " time_series = np.append(time_series, [[dt, float(split[2]), float(split[3])]], axis = 0)\n", + "\n", + " return time_series, dt0, dt_fin" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "PxrnBzp1mHJ5" + }, + "source": [ + "# Main code begins here" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "vXy2ArJ93d9e" + }, + "source": [ + "# 3 Establishing access to EarthData" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8BnoNI0k3mi1" + }, + "source": [ + "## 3.1 Logging in" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.1.1 Earthaccess" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OwWQ-RB8y3kR", + "outputId": "f0625dcf-c0d9-4874-d2a2-5baf2da916dd" + }, + "outputs": [], + "source": [ + "# Establishing access to EarthData\n", + "# User needs to create an account at https://www.earthdata.nasa.gov/\n", + "# Function earthaccess.login prompts for EarthData login and password.\n", + "auth = earthaccess.login(strategy=\"interactive\", persist=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.1.2 Harmony client" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Your credentials will only be passed to Earthdata and will not be exposed in the notebook\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Username: alexrad71\n", + " ········\n" + ] + } + ], + "source": [ + "print('Your credentials will only be passed to Earthdata and will not be exposed in the notebook')\n", + "username = input('Username:')\n", + "\n", + "harmony_client = Client(env=Environment.PROD, auth=(username, getpass.getpass()))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5QaStYVXVmdN" + }, + "source": [ + "# 4 Working with Pandora data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NN7_YcCackvI" + }, + "source": [ + "## 4.1 Discovering existing Pandora stations and selecting one of them" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "GfIm8DMQy9nT", + "outputId": "9a6c35ae-3d05-4479-9ed9-504fccf9e7df" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "gathering Pandora sites information\n", + "please select a Pandora site name from the list\n", + "Agam\n", + "AldineTX\n", + "AliceSprings\n", + "Altzomoni\n", + "AmesIA\n", + "Aosta-SC\n", + "ArlingtonTX\n", + "Ashgabat\n", + "Athens-NOA\n", + "AtlantaGA-Conyers\n", + "AtlantaGA-Downtown\n", + "AtlantaGA-GATech\n", + "AtlantaGA-SouthDeKalb\n", + "AtlantaGA-SouthDeKalbPerimeter\n", + "AtlantaGA\n", + "AustinTX\n", + "Bandung\n", + "Bangkok\n", + "Banting\n", + "BayonneNJ\n", + "Beijing-RADI\n", + "BeltsvilleMD\n", + "Berlin\n", + "BlueHillMA\n", + "Bologna-SPC\n", + "BondvilleIL\n", + "BostonMA\n", + "BoulderCO-NCAR\n", + "BoulderCO\n", + "Bremen\n", + "BristolPA\n", + "BronxNY\n", + "Brussels-Uccle\n", + "Bucharest\n", + "BuckeyeAZ\n", + "BuenosAires\n", + "BuffaloNY\n", + "Busan\n", + "Cabauw\n", + "Calakmul\n", + "calibrationfiles\n", + "CambridgeBay\n", + "CambridgeMA\n", + "CameronLA\n", + "CapeElizabethME\n", + "Cebu\n", + "ChacoCultureNM\n", + "ChapelHillNC\n", + "CharlesCityVA\n", + "ChelseaMA\n", + "ChiangMai\n", + "ChicagoIL\n", + "Cologne\n", + "ComodoroRivadavia\n", + "Cordoba\n", + "CornwallCT\n", + "CorpusChristiTX\n", + "Daegu\n", + "Dalanzadgad\n", + "DaNang\n", + "Davos\n", + "DearbornMI\n", + "DeBilt\n", + "Dhaka\n", + "DinosaurUT\n", + "Downsview\n", + "EastProvidenceRI\n", + "EdwardsCA\n", + "Egbert\n", + "EssexMD\n", + "Eureka-0PAL\n", + "Eureka-PEARL\n", + "FairbanksAK\n", + "Fajardo\n", + "FortMcKay\n", + "FortYatesND\n", + "FountainHillsAZ\n", + "Fukuoka\n", + "Gongju-KNU\n", + "Granada\n", + "GrandForksND\n", + "GreenbeltMD\n", + "GuatemalaCity\n", + "Haldwani-ARIES\n", + "HamptonVA-HU\n", + "HamptonVA\n", + "HanoiCity-NCEM\n", + "Heidelberg\n", + "Helsinki\n", + "HoChiMinhCity-SCEM\n", + "HoustonTX-SanJacinto\n", + "HoustonTX\n", + "HuntsvilleAL\n", + "Ilo-UNAM\n", + "Ilocos\n", + "Incheon-ESC\n", + "Innsbruck\n", + "IowaCityIA-WHS\n", + "Islamabad-NUST\n", + "Izana\n", + "Jeonju\n", + "Juelich\n", + "KenoshaWI\n", + "Kigali\n", + "Kobe\n", + "Kosetice\n", + "LaPaz\n", + "LaPorteTX\n", + "LapwaiID\n", + "Lauder\n", + "LibertyTX\n", + "Lindenberg\n", + "LondonderryNH\n", + "LynnMA\n", + "MadisonCT\n", + "Mainz-MPIC\n", + "ManhattanKS\n", + "ManhattanNY-CCNY\n", + "MaunaLoaHI\n", + "MexicoCity-UNAM\n", + "MexicoCity-Vallejo\n", + "MiamiFL-FIU\n", + "Milan-MIBI\n", + "MountainViewCA\n", + "Nagoya\n", + "Nainital-ARIES\n", + "NakhonPathom\n", + "NewBrunswickNJ\n", + "NewHavenCT\n", + "NewLondonCT\n", + "NewOrleansLA-XULA\n", + "NyAlesund\n", + "OldFieldNY\n", + "operationfiles\n", + "Palau\n", + "Palawan\n", + "PaloDuroTX\n", + "PhiladelphiaPA\n", + "PhnomPenh\n", + "PhoenixAZ\n", + "PittsburghPA\n", + "Pontianak\n", + "Potchefstroom-METSI\n", + "QueensNY\n", + "QuezonCity\n", + "RichmondCA\n", + "Rome-IIA\n", + "Rome-ISAC\n", + "Rome-SAP\n", + "Rotterdam-Haven\n", + "SaltLakeCityUT-Hawthorne\n", + "SaltLakeCityUT\n", + "SanAntonioTX\n", + "SanJose-UCR\n", + "SanJoseCA\n", + "SantaCruz\n", + "SanteeSiouxNE\n", + "Sapporo\n", + "Seosan\n", + "Seoul-KU\n", + "Seoul-SNU\n", + "Seoul\n", + "Singapore-NUS\n", + "Songkhla\n", + "SouthJordanUT\n", + "StGeorge\n", + "StocktonIL\n", + "StonyPlain\n", + "Suwon-USW\n", + "SWDetroitMI\n", + "Tel-Aviv\n", + "Thessaloniki\n", + "TitoScaloPZ-CNR-IMAA\n", + "Tokyo-Sophia\n", + "Tokyo-TMU\n", + "Toronto-CNTower\n", + "Toronto-Scarborough\n", + "Toronto-West\n", + "Trollhaugen\n", + "Tsukuba-NIES-West\n", + "Tsukuba-NIES\n", + "Tsukuba\n", + "TubaCityAZ\n", + "TucsonAZ\n", + "TurlockCA\n", + "TylerTX\n", + "Ulaanbaatar\n", + "Ulsan\n", + "Utsteinen\n", + "Vientiane\n", + "VirginiaBeachVA-CBBT\n", + "WacoTX\n", + "Wakkerstroom\n", + "WallopsIslandVA\n", + "Warsaw-UW\n", + "WashingtonDC\n", + "WestportCT\n", + "WhittierCA\n", + "Windsor-West\n", + "WrightwoodCA\n", + "Yokosuka\n", + "Yongin\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Enter a name of a Pandora site: Hampt\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hampt\n", + "there are 2 site names, select one from\n", + "HamptonVA-HU\n", + "HamptonVA\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Enter an exact name of a Pandora site: HamptonVA\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "site HamptonVA was found and added to the list of sites \n", + "the following sites were selected\n", + "HamptonVA\n", + "from the list of existing Pandora sites\n", + "https://data.pandonia-global-network.org/HamptonVA/Pandora37s1/L2/Pandora37s1_HamptonVA_L2_rout2p1-8.txt\n", + "Pandora37s1_HamptonVA_L2_rout2p1-8.txt does not exit in local directory, downloading from the web\n", + "https://data.pandonia-global-network.org/HamptonVA/Pandora37s1/L2/Pandora37s1_HamptonVA_L2_rout2p1-8.txt\n", + "Pandora L2 file Pandora37s1_HamptonVA_L2_rout2p1-8.txt has been downloaded\n" + ] + } + ], + "source": [ + "# Discovering available Pandora site.\n", + "print(\"gathering Pandora sites information\")\n", + "refs = read_pandora_web()\n", + "\n", + "pandora_site = take_pandora_sites(refs) # create list of Pandora sites of interest\n", + "print(\"the following sites were selected\")\n", + "print(pandora_site)\n", + "print(\"from the list of existing Pandora sites\")\n", + "\n", + "# create a list of !AVAILABLE! Pandora files for the Pandora site\n", + "pandora_files = []\n", + "\n", + "links = instrument_path(pandora_site)\n", + "\n", + "npfiles = 0\n", + "\n", + "for link in links:\n", + " pandora_fname = link.split(\"/\")[-1]\n", + "\n", + " # check if file exists in the local directory, if not download from Pandora site\n", + " if not os.path.exists(pandora_fname):\n", + " print(pandora_fname, \" does not exit in local directory, downloading from the web\")\n", + " print(link)\n", + "\n", + " pandora_fname, response_code = download(link)\n", + "\n", + " if response_code == 200:\n", + " print(\"Pandora L2 file \", pandora_fname, \" has been downloaded\")\n", + " npfiles = npfiles + 1\n", + " pandora_files.append(pandora_fname)\n", + " else:\n", + " print(\"Pandora L2 file \", link, \" does not exist\")\n", + "\n", + " else:\n", + " print(pandora_fname, \" exits in local directory\")\n", + " npfiles = npfiles + 1\n", + " pandora_files.append(pandora_fname)\n", + "\n", + "if npfiles == 0: # no files were found, STOP here\n", + " print(\"no files were found for Pandora site \", pandora_site, \"program terminated\")\n", + " sys.exit()\n", + "if npfiles > 1: # normally there should be only one file per site. if there are more - STOP\n", + " # print('there are too many files for site ', pandora_site, '- STOP and investigate file names below. Program terminated')\n", + " print(\"there are more than 1 files for site \", pandora_site)\n", + " # for pandora_fname in pandora_files: print(pandora_fname)\n", + " for i, link in enumerate(links):\n", + " print(i, link)\n", + " num = int(input(\"please enter the number for the link\"))\n", + " pandora_fname, response_code = download(links[num])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4vYb5skDdNvg" + }, + "source": [ + "## 4.2 Selecting timeframe of interest common for all instruments" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "NDyE7jCOzEyh", + "outputId": "c2a47c38-d56c-491c-cf9b-dcc79c2b9166" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "enter period of interest, start and end dates, in the form YYYYMMDD\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "enter start date of interest 20240711\n", + "enter end date of interest 20240807\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024 7 11 2024 8 7\n" + ] + } + ], + "source": [ + "print(\"enter period of interest, start and end dates, in the form YYYYMMDD\")\n", + "datestamp_ini = input(\"enter start date of interest \")\n", + "datestamp_fin = input(\"enter end date of interest \")\n", + "\n", + "start_date = int(datestamp_ini)\n", + "end_date = int(datestamp_fin)\n", + "\n", + "yyyy_ini = start_date // 10000\n", + "mm_ini = start_date // 100 - yyyy_ini * 100\n", + "dd_ini = start_date - yyyy_ini * 10000 - mm_ini * 100\n", + "\n", + "yyyy_fin = end_date // 10000\n", + "mm_fin = end_date // 100 - yyyy_fin * 100\n", + "dd_fin = end_date - yyyy_fin * 10000 - mm_fin * 100\n", + "print(yyyy_ini, mm_ini, dd_ini, yyyy_fin, mm_fin, dd_fin)\n", + "\n", + "date_start = str(\"%4.4i-%2.2i-%2.2i 00:00:00\" % (yyyy_ini, mm_ini, dd_ini))\n", + "date_end = str(\"%4.4i-%2.2i-%2.2i 23:59:59\" % (yyyy_fin, mm_fin, dd_fin))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1UOE-xVanNBu" + }, + "source": [ + "## 4.3 Reading Pandora file within selected timeframe and create point of interest" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "luKPzZjIzYxl", + "outputId": "1e32da94-67bd-435e-c8be-4f064569b407" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "location name HamptonVA\n", + "location latitude 37.1036\n", + "location longitude -76.3868\n", + "437 Pandora measurements found within period of interes between 2024-07-11 00:00:00 and 2024-08-07 23:59:59\n" + ] + } + ], + "source": [ + "pandora_file = pandora_files[0]\n", + "lat, lon, POI_name, Pandora_data = read_Pandora_O3_rout2p1_8_v2(pandora_file, start_date, end_date)\n", + "\n", + "if lat == -999.0:\n", + " print(\"error reading pandora file \", pandora_file, \"program terminated\")\n", + " sys.exit()\n", + "\n", + "POI = np.array([lat, lon])\n", + "\n", + "# print # of points in Pandora timeseries\n", + "n_Pandora_data = len(Pandora_data)\n", + "print(\n", + " n_Pandora_data,\n", + " \" Pandora measurements found within period of interes between\",\n", + " date_start,\n", + " \"and\",\n", + " date_end,\n", + ")\n", + "if n_Pandora_data == 0:\n", + " print(\"program terminated\")\n", + " sys.exit()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3wvhtsq5kXgZ" + }, + "source": [ + "## 4.4 Setting TEMPO and DSCOVR name constants and writing Pandora timeseries to a file" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "id": "xE_ZFUy02GAb" + }, + "outputs": [], + "source": [ + "# Setting TEMPO name constants\n", + "short_name_TEMPO = \"TEMPO_O3TOT_L2\" # collection name to search for in the EarthData\n", + "out_Q = \"O3_tot_col_TEMPO\" # name of the output quantity with unit\n", + "\n", + "# Setting TEMPO name constants\n", + "short_name_DSCOVR = \"DSCOVR_EPIC_L2_TO3\" # collection name to search for in the EarthData\n", + "out_Q_EPIC = \"O3_tot_col_EPIC\"\n", + "\n", + "out_Q_Pandora = \"O3_tot_col_Pandora\"\n", + "\n", + "out_Q_unit = \"DU\"\n", + "\n", + "# write Pandora timeseries to a file\n", + "POI_name_ = POI_name.replace(\" \", \"_\")\n", + "\n", + "Pandora_out = open(\n", + " out_Q_Pandora\n", + " + \"_\"\n", + " + datestamp_ini\n", + " + \"_\"\n", + " + datestamp_fin\n", + " + \"_\"\n", + " + POI_name_\n", + " + \"_\"\n", + " + str(\"%08.4fN_%08.4fW.txt\" % (POI[0], -POI[1])),\n", + " \"w\",\n", + ")\n", + "Pandora_out.write(\"timeseries of Pandora O3 total column at \"\n", + " + POI_name\n", + " + \" \"\n", + " + str(\"%08.4fN %08.4fW\" % (POI[0], -POI[1]))\n", + " + \"\\n\"\n", + ")\n", + "Pandora_out.write(\"yyyy mm dd hh mn ss \" + out_Q_unit + \"\\n\")\n", + "\n", + "for line in Pandora_data:\n", + " Pandora_out.write(\n", + " str(\n", + " \"%4.4i-%2.2i-%2.2i %2.2i:%2.2i:%04.1f %12.4e %12.4e\\n\"\n", + " % (line[0], line[1], line[2], line[3], line[4], line[5], line[6], line[7])\n", + " )\n", + " )\n", + "Pandora_out.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VGfpNlrWei36" + }, + "source": [ + "# 5 Working with DSCOVR data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "qO9NEF61jlcy" + }, + "source": [ + "## 5.1 Searching for DSCOVR data files in the selected thimeframe and download them" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lC8tibNDoy7c" + }, + "source": [ + "## 5.2 Compiling DSCOVR EPIC total ozone timeseries" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 564, + "referenced_widgets": [ + "6a74f55aca6e43cd828829ff3f8a3668", + "8a89ddfca6aa4ed4b8a01ce8ee69f30a", + "ee89560e779348d1b9abeac68208614a", + "c8997b0fa3984547b209c6f659531bc7", + "d2d4425ccf1847c39bdb92d3d6b84842", + "8da2c144ed4a4daea355ca4c879eef43", + "79a4d40189f6455fb0582ff3559a44ea", + "ee9631ace8944195a778a9c2e25f0555", + "c73d7ef65a4f4972ac8cce3a49e2cbd6", + "a45a931bfec44ba4974ea01225ba048e", + "914e9cbf317a4e4792c1fec66376fd68", + "c9ca091411514acebfa719084e8aa2ee", + "498556a41b374bef85d2f33767d04913", + "18bf9267531c4f7aa7384c468d58cd12", + "15c1d114296844b285c8852c1af67eb0", + "44714d3f2bb74fe7b0e220b409c2b754", + "c83d21ea90424306a98819759bad7126", + "5f264b306abf4ea498ea5abbc961bc6d", + "4bd34b2dad6342c58cc43aba95478bc1", + "e11996d39f7540d29f13415d2a5b877b", + "7c693105550646b5928d354c328c6c7a", + "5bf0088581c34a9a9b7311aefebd4f89", + "c099ef8003c9442b8dbbd77a645d653d", + "74e34322dce14a1a8d8201347b7bd203", + "185a3fad63734c39b7908a3b23c05adf", + "71f46d670fe241329bdba1ce3cf787f0", + "7401ab9929864b4397533422ce60f393", + "63078942080f4eed82cfbc7193ab591b", + "22bcaa9e31f54d189cbaf7f163baff21", + "043fe439d12547478f1a13f81f2c2e19", + "702a253497d74788b59da58ab11acf62", + "9017e47483884fc6904660fda0ae55c8", + "da64370aaca84cb4b89577fd8d4455d3" + ] + }, + "id": "OGEScxEszoRY", + "outputId": "c82b9fb7-0a34-4ded-a30c-202b8563da46", + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total number of DSCOVR EPIC L2_TO3 granules found for POI HamptonVA \n", + "within period of interes between 2024-07-11 00:00:00 and 2024-08-07 23:59:59 \n", + "is 274\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711110303_03.h5\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711120831_03.h5\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711131358_03.h5\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711141927_03.h5\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711152452_03.h5\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711163019_03.h5\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711173547_03.h5\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711184114_03.h5\n", + "https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.07/DSCOVR_EPIC_L2_TO3_03_20240711194641_03.h5\n", + 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"https://data.asdc.earthdata.nasa.gov/asdc-prod-protected/DSCOVR/DSCOVR_EPIC_L2_TO3_03/2024.08/DSCOVR_EPIC_L2_TO3_03_20240807231228_03.h5\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d421f0b0c6af4a8cb2ae619425865b64", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "QUEUEING TASKS | : 0%| | 0/274 [00:00 POI_lat - geo_deviation)\n", + " & (lon2D < POI_lon + geo_deviation)\n", + " & (lon2D > POI_lon - geo_deviation)\n", + " & (o3_2D != fv_o3)\n", + " & (o3_2D > 0.0)\n", + " )\n", + " lat_loc = lat2D[mask]\n", + " lon_loc = lon2D[mask]\n", + " o3_loc = o3_2D[mask]\n", + " n_loc = len(o3_loc)\n", + " if n_loc < 1:\n", + " continue\n", + "\n", + " pp = np.array([POI[1], POI[0]])\n", + " points = np.empty([0, 2])\n", + " ff = np.empty(0)\n", + "\n", + " for i in range(n_loc):\n", + " if o3_loc[i] == fv_o3 or o3_loc[i] < 0:\n", + " continue\n", + " points = np.append(points, [[lon_loc[i], lat_loc[i]]], axis=0)\n", + " ff = np.append(ff, o3_loc[i])\n", + "\n", + " try:\n", + " [prod_loc] = griddata(points, ff, pp, method=\"linear\", fill_value=-1.0, rescale=False)\n", + " except:\n", + " try:\n", + " prod_loc = np.mean(ff)\n", + " except:\n", + " continue\n", + " if prod_loc == -1.0:\n", + " continue\n", + "\n", + "# uncertainty of the ozone column. Set to zero just to have it in the output file to streamline reading of timeseries and keep the code similar to other TEMPO vs. Pandora notebooks\n", + " prod_loc_unc = 0.\n", + " print(ts.strftime(\"%Y-%m-%d %H:%M:%S.%f\"), prod_loc)\n", + " fout.write(f'{ts.strftime(\"%Y-%m-%d %H:%M:%S.%f\")} {prod_loc:8.3f} {prod_loc_unc:3.1f}')\n", + "\n", + " for i in range(n_loc):\n", + " fout.write(str(\"%9.4fN %9.4fW %10.3e \" % (lat_loc[i], -lon_loc[i], o3_loc[i])))\n", + " fout.write(\"\\n\")\n", + "\n", + "fout.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "fbEZvFdop0v8" + }, + "source": [ + "# 6 Working with TEMPO data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Ostyk8FQp0v9" + }, + "source": [ + "## 6.1 Searching TEMPO data files containing the POI (position of the Pandora station)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jT1S7ISU2iTK", + 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"TEMPO_O3TOT_L2_V04_20240807T120738Z_S003G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T124743Z_S004G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T132748Z_S005G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T140756Z_S006G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T150756Z_S007G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T160756Z_S008G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T170756Z_S009G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T180756Z_S010G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T190756Z_S011G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T200756Z_S012G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T210756Z_S013G03.nc\n", + "TEMPO_O3TOT_L2_V04_20240807T220756Z_S014G03.nc\n" + ] + } + ], + "source": [ + "# Searching TEMPO data files containing the POI (point of interes - location of the Pandora station)\n", + "\n", + "POI_lat = POI[0]\n", + "POI_lon = POI[1]\n", + "\n", + "version = \"V04\"\n", + "POI_results = earthaccess.search_data(\n", + " short_name=short_name_TEMPO,\n", + " version=version,\n", + " temporal=(date_start, date_end),\n", + " point=(POI_lon, POI_lat),\n", + ")\n", + "\n", + "n_gr = len(POI_results)\n", + "if n_gr == 0:\n", + " print('program terminated')\n", + " print('There are no TEMPO granules covering the selected\\n'\\\n", + "+'Pandora station withing selected timeframe, user should stop here\\n'\\\n", + "+'unless plotting TEMPO-only time series is needed')\n", + "\n", + "# creating a list of original (un-subsetted) granule names. It is needed fo ordering subsets granule-by-granule\n", + "print(POI_results[0]['meta']['native-id'])\n", + "fnames = sorted([r['meta']['native-id'] for r in POI_results])\n", + "for fname in fnames: \n", + " print(fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6.2 Getting the collection ID" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C3685912131-LARC_CLOUD\n" + ] + } + ], + "source": [ + "collectionID = get_collectionID_earthaccess(short_name_TEMPO, version)\n", + "print(collectionID)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6.3 Getting lists of granules for individual days within the timeframe of interest.\n", + "While it is possible to subset a single granule using L2 subsetter, it is more efficient to order subsets of several granules. For this reason, the list of granules obtained in the previous step is split into sublists by days. " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# Group filenames by date, extracted from 5th underscore-delimited segment\n", + "# (e.g. \"..._20230415T123000Z_...\" → \"20230415\"). Sorted iteration + dict\n", + "# insertion-order guarantee ensures date groups are chronological.\n", + "groups = defaultdict(list)\n", + "for fname in sorted(fnames):\n", + " date = fname.split(\"_\")[4].split(\"T\")[0]\n", + " groups[date].append(fname)\n", + "\n", + "days = np.array(list(groups.values()), dtype=object)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kPyYwF-E7Qiv" + }, + "source": [ + "## 6.4 Compiling TEMPO ozone total column time series" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "jobID = b80fa272-676a-4df2-8170-db423b5242ff\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188845085_TEMPO_O3TOT_L2_V04_20240711T105011Z_S001G03_subsetted.nc\n", + "./188845086_TEMPO_O3TOT_L2_V04_20240711T113016Z_S002G03_subsetted.nc\n", + "./188845087_TEMPO_O3TOT_L2_V04_20240711T121021Z_S003G03_subsetted.nc\n", + "./188845088_TEMPO_O3TOT_L2_V04_20240711T125026Z_S004G03_subsetted.nc\n", + "./188845089_TEMPO_O3TOT_L2_V04_20240711T133034Z_S005G03_subsetted.nc\n", + "./188845091_TEMPO_O3TOT_L2_V04_20240711T153034Z_S007G03_subsetted.nc\n", + "./188845090_TEMPO_O3TOT_L2_V04_20240711T143034Z_S006G03_subsetted.nc\n", + "./188845092_TEMPO_O3TOT_L2_V04_20240711T163034Z_S008G03_subsetted.nc\n", + "./188845093_TEMPO_O3TOT_L2_V04_20240711T173034Z_S009G03_subsetted.nc\n", + "./188845094_TEMPO_O3TOT_L2_V04_20240711T183034Z_S010G03_subsetted.nc\n", + "./188845095_TEMPO_O3TOT_L2_V04_20240711T193034Z_S011G03_subsetted.nc\n", + "./188845096_TEMPO_O3TOT_L2_V04_20240711T203034Z_S012G03_subsetted.nc\n", + "./188845097_TEMPO_O3TOT_L2_V04_20240711T213034Z_S013G03_subsetted.nc\n", + "./188845098_TEMPO_O3TOT_L2_V04_20240711T223034Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188845085_TEMPO_O3TOT_L2_V04_20240711T105011Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.104492 -76.364532 80.515 45.708 313.88 0 0.578\n", + " 10 842 37.085114 -76.368912 80.525 45.687 309.85 0 0.699\n", + " 11 841 37.102901 -76.421440 80.549 45.687 307.79 0 0.341\n", + " 11 842 37.083492 -76.425827 80.559 45.665 313.64 0 0.246\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-11 10:51:47.269780+00:00, O3tot col 3.1129e+02\n", + "188845086_TEMPO_O3TOT_L2_V04_20240711T113016Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111725 -76.383347 72.921 45.709 299.98 0 0.391\n", + " 10 842 37.092350 -76.387711 72.929 45.688 305.02 0 0.638\n", + " 11 841 37.110306 -76.440483 72.955 45.687 303.17 0 0.715\n", + " 11 842 37.090965 -76.444817 72.964 45.666 301.32 0 0.654\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-11 11:31:50.756425+00:00, O3tot col 2.9998e+02\n", + "all qualities: averaged time 2024-07-11 11:31:52.272963+00:00, O3tot col 3.0237e+02\n", + "188845087_TEMPO_O3TOT_L2_V04_20240711T121021Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.122608 -76.367676 65.104 45.725 300.02 0 0.687\n", + " 10 842 37.103241 -76.372063 65.111 45.703 300.69 0 0.659\n", + " 11 841 37.121166 -76.425293 65.140 45.703 300.62 0 0.626\n", + " 11 842 37.101776 -76.429672 65.147 45.681 301.19 0 0.592\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-11 12:11:57.261545+00:00, O3tot col 3.0063e+02\n", + "188845088_TEMPO_O3TOT_L2_V04_20240711T125026Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110462 -76.343567 57.168 45.719 297.02 0 0.763\n", + " 10 842 37.091114 -76.347954 57.173 45.698 296.43 0 0.696\n", + " 11 841 37.108482 -76.400764 57.204 45.697 296.92 0 0.752\n", + " 11 842 37.089130 -76.405144 57.209 45.676 298.15 0 0.661\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-11 12:51:59.231573+00:00, O3tot col 2.9713e+02\n", + "188845089_TEMPO_O3TOT_L2_V04_20240711T133034Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.108929 -76.346931 49.177 45.714 295.29 0 0.956\n", + " 10 843 37.089573 -76.351326 49.180 45.693 290.87 0 0.887\n", + " 11 842 37.107128 -76.405113 49.214 45.692 292.11 0 0.855\n", + " 11 843 37.087784 -76.409485 49.216 45.670 291.49 0 0.964\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-11 13:32:07.268147+00:00, O3tot col 2.9244e+02\n", + "188845091_TEMPO_O3TOT_L2_V04_20240711T153034Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114571 -76.374031 26.137 45.701 297.99 4224 0.866\n", + " 10 842 37.095203 -76.378426 26.130 45.679 310.12 4224 1.000\n", + " 11 841 37.112038 -76.431404 26.167 45.678 318.29 4228 1.000\n", + " 11 842 37.092686 -76.435776 26.161 45.656 329.50 4228 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188845090_TEMPO_O3TOT_L2_V04_20240711T143034Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119999 -76.380394 37.353 45.709 288.86 0 0.576\n", + " 10 842 37.100624 -76.384796 37.352 45.688 291.83 0 0.590\n", + " 11 841 37.118458 -76.437340 37.387 45.688 319.04 128 0.549\n", + " 11 842 37.099117 -76.441704 37.387 45.666 317.57 128 0.522\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-11 14:32:05.748676+00:00, O3tot col 2.9035e+02\n", + "188845092_TEMPO_O3TOT_L2_V04_20240711T163034Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.120457 -76.375938 17.311 45.700 293.29 4096 0.753\n", + " 10 841 37.101097 -76.380341 17.296 45.678 285.68 4096 0.768\n", + " 11 840 37.118126 -76.433426 17.327 45.677 298.87 4096 0.816\n", + " 11 841 37.098793 -76.437782 17.313 45.656 318.29 4224 0.854\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188845093_TEMPO_O3TOT_L2_V04_20240711T173034Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109486 -76.379913 15.828 45.681 295.93 0 0.514\n", + " 10 842 37.090118 -76.384308 15.809 45.659 294.30 4096 0.541\n", + " 11 841 37.108040 -76.436371 15.816 45.659 296.56 0 0.519\n", + " 11 842 37.088696 -76.440727 15.796 45.638 298.05 0 0.523\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-11 17:32:07.779418+00:00, O3tot col 2.9684e+02\n", + "188845094_TEMPO_O3TOT_L2_V04_20240711T183034Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115250 -76.348511 23.209 45.691 315.60 4228 1.000\n", + " 10 842 37.095894 -76.352913 23.195 45.670 294.25 4229 1.000\n", + " 11 841 37.113216 -76.406677 23.178 45.668 309.96 4229 1.000\n", + " 11 842 37.093876 -76.411057 23.164 45.647 296.82 4229 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188845095_TEMPO_O3TOT_L2_V04_20240711T193034Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108345 -76.351013 34.013 45.677 320.33 4228 1.000\n", + " 10 842 37.089001 -76.355408 34.004 45.656 323.37 4228 1.000\n", + " 11 841 37.106770 -76.408134 33.978 45.655 321.49 4228 1.000\n", + " 11 842 37.087429 -76.412506 33.970 45.634 322.38 4228 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188845096_TEMPO_O3TOT_L2_V04_20240711T203034Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.106770 -76.349762 45.767 45.671 298.57 0 1.000\n", + " 10 842 37.087433 -76.354156 45.762 45.649 301.82 0 1.000\n", + " 11 841 37.105053 -76.406769 45.732 45.649 300.46 0 1.000\n", + " 11 842 37.085712 -76.411140 45.727 45.627 301.65 4096 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-11 20:32:06.767049+00:00, O3tot col 3.0028e+02\n", + "188845097_TEMPO_O3TOT_L2_V04_20240711T213034Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109570 -76.354996 57.725 45.668 307.73 0 1.000\n", + " 10 842 37.090225 -76.359383 57.723 45.646 308.20 0 1.000\n", + " 11 841 37.108242 -76.411842 57.690 45.646 306.76 0 1.000\n", + " 11 842 37.088894 -76.416214 57.688 45.625 305.95 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-11 21:32:10.304275+00:00, O3tot col 3.0716e+02\n", + "188845098_TEMPO_O3TOT_L2_V04_20240711T223034Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115040 -76.377937 69.529 45.663 302.40 0 0.342\n", + " 10 842 37.095684 -76.382324 69.530 45.642 303.49 0 0.332\n", + " 11 841 37.113365 -76.435242 69.494 45.641 304.54 0 0.374\n", + " 11 842 37.094040 -76.439590 69.495 45.620 305.45 0 0.429\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-11 22:32:10.306256+00:00, O3tot col 3.0397e+02\n", + "all qualities: averaged time 2024-07-11 22:32:10.306256+00:00, O3tot col 3.0397e+02\n", + "jobID = cd7af566-7b02-4dcd-8018-9e339fdc0195\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188845143_TEMPO_O3TOT_L2_V04_20240712T105030Z_S001G03_subsetted.nc\n", + "./188845146_TEMPO_O3TOT_L2_V04_20240712T125045Z_S004G03_subsetted.nc\n", + "./188845144_TEMPO_O3TOT_L2_V04_20240712T113035Z_S002G03_subsetted.nc\n", + "./188845145_TEMPO_O3TOT_L2_V04_20240712T121040Z_S003G03_subsetted.nc\n", + "./188845147_TEMPO_O3TOT_L2_V04_20240712T133053Z_S005G03_subsetted.nc\n", + "./188845148_TEMPO_O3TOT_L2_V04_20240712T143053Z_S006G03_subsetted.nc\n", + "./188845149_TEMPO_O3TOT_L2_V04_20240712T153053Z_S007G03_subsetted.nc\n", + "./188845150_TEMPO_O3TOT_L2_V04_20240712T163053Z_S008G03_subsetted.nc\n", + "./188845151_TEMPO_O3TOT_L2_V04_20240712T173053Z_S009G03_subsetted.nc\n", + "./188845152_TEMPO_O3TOT_L2_V04_20240712T183053Z_S010G03_subsetted.nc\n", + "./188845154_TEMPO_O3TOT_L2_V04_20240712T203053Z_S012G03_subsetted.nc\n", + "./188845153_TEMPO_O3TOT_L2_V04_20240712T193053Z_S011G03_subsetted.nc\n", + "./188845155_TEMPO_O3TOT_L2_V04_20240712T213053Z_S013G03_subsetted.nc\n", + "./188845156_TEMPO_O3TOT_L2_V04_20240712T223053Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188845143_TEMPO_O3TOT_L2_V04_20240712T105030Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.121872 -76.361229 80.554 45.730 328.78 0 1.000\n", + " 10 841 37.102478 -76.365631 80.564 45.708 335.64 0 1.000\n", + " 11 840 37.120148 -76.417465 80.587 45.708 322.24 131 1.000\n", + " 11 841 37.100746 -76.421852 80.597 45.687 328.14 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-12 10:52:05.753348+00:00, O3tot col 3.3085e+02\n", + "188845146_TEMPO_O3TOT_L2_V04_20240712T125045Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108368 -76.344467 57.204 45.719 295.68 0 0.205\n", + " 10 842 37.089008 -76.348869 57.208 45.698 294.99 0 0.216\n", + " 11 841 37.106796 -76.402191 57.240 45.697 296.78 0 0.140\n", + " 11 842 37.087448 -76.406570 57.244 45.676 297.50 0 0.096\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-12 12:52:18.235185+00:00, O3tot col 2.9624e+02\n", + "all qualities: averaged time 2024-07-12 12:52:18.235185+00:00, O3tot col 2.9624e+02\n", + "188845144_TEMPO_O3TOT_L2_V04_20240712T113035Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114117 -76.373100 72.953 45.717 304.12 0 0.861\n", + " 10 842 37.094742 -76.377495 72.962 45.696 304.39 0 0.936\n", + " 11 841 37.112373 -76.430428 72.989 45.695 305.10 0 0.868\n", + " 11 842 37.093010 -76.434807 72.997 45.674 306.34 0 0.817\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-12 11:32:11.262572+00:00, O3tot col 3.0499e+02\n", + "188845145_TEMPO_O3TOT_L2_V04_20240712T121040Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116337 -76.370331 65.144 45.720 301.34 0 0.836\n", + " 10 842 37.096966 -76.374725 65.151 45.698 301.49 0 0.789\n", + " 11 841 37.114918 -76.426498 65.179 45.698 303.79 0 1.000\n", + " 11 842 37.095535 -76.430885 65.186 45.677 304.43 0 0.986\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-12 12:12:16.265294+00:00, O3tot col 3.0276e+02\n", + "188845147_TEMPO_O3TOT_L2_V04_20240712T133053Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.108421 -76.368401 49.228 45.708 294.10 0 0.144\n", + " 10 843 37.089050 -76.372795 49.231 45.687 294.11 0 0.167\n", + " 11 842 37.106998 -76.425537 49.264 45.687 297.17 0 0.176\n", + " 11 843 37.087627 -76.429916 49.267 45.665 296.98 0 0.170\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-12 13:32:26.271692+00:00, O3tot col 2.9559e+02\n", + "all qualities: averaged time 2024-07-12 13:32:26.271692+00:00, O3tot col 2.9559e+02\n", + "188845148_TEMPO_O3TOT_L2_V04_20240712T143053Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.114708 -76.330994 37.363 45.723 296.24 0 0.231\n", + " 9 842 37.095379 -76.335388 37.362 45.702 293.91 0 0.268\n", + " 10 841 37.113609 -76.388474 37.398 45.702 295.36 0 0.465\n", + " 10 842 37.094254 -76.392868 37.397 45.680 298.61 0 0.449\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-12 14:32:23.235536+00:00, O3tot col 2.9603e+02\n", + "all qualities: averaged time 2024-07-12 14:32:23.235536+00:00, O3tot col 2.9603e+02\n", + "188845149_TEMPO_O3TOT_L2_V04_20240712T153053Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.108261 -76.334488 26.174 45.710 296.88 0 0.211\n", + " 9 842 37.088924 -76.338882 26.168 45.688 297.93 0 0.196\n", + " 10 841 37.106186 -76.392464 26.205 45.687 298.64 0 0.272\n", + " 10 842 37.086815 -76.396858 26.199 45.665 295.72 0 0.216\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-12 15:32:23.232523+00:00, O3tot col 2.9729e+02\n", + "all qualities: averaged time 2024-07-12 15:32:23.232523+00:00, O3tot col 2.9729e+02\n", + "188845150_TEMPO_O3TOT_L2_V04_20240712T163053Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.120628 -76.361732 17.412 45.706 335.63 4228 0.996\n", + " 10 842 37.101273 -76.366127 17.397 45.684 328.25 4228 0.945\n", + " 11 841 37.118759 -76.419785 17.429 45.683 339.94 4228 1.000\n", + " 11 842 37.099377 -76.424179 17.414 45.662 345.29 4228 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188845151_TEMPO_O3TOT_L2_V04_20240712T173053Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.105179 -76.376221 15.974 45.678 288.78 4229 1.000\n", + " 10 842 37.085819 -76.380615 15.955 45.656 290.09 4229 1.000\n", + " 11 841 37.103649 -76.433029 15.962 45.656 297.51 4229 1.000\n", + " 11 842 37.084293 -76.437401 15.942 45.635 290.07 4229 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188845152_TEMPO_O3TOT_L2_V04_20240712T183053Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119476 -76.360863 23.336 45.691 345.33 4228 1.000\n", + " 10 842 37.100124 -76.365257 23.322 45.669 337.83 4228 1.000\n", + " 11 841 37.117870 -76.417114 23.307 45.669 329.53 4229 1.000\n", + " 11 842 37.098511 -76.421494 23.293 45.648 322.97 4229 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188845154_TEMPO_O3TOT_L2_V04_20240712T203053Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122921 -76.352280 45.879 45.686 300.29 0 0.748\n", + " 10 841 37.103573 -76.356674 45.874 45.664 301.55 0 0.814\n", + " 11 840 37.120880 -76.409378 45.844 45.663 302.70 0 0.941\n", + " 11 841 37.101532 -76.413750 45.839 45.642 307.04 0 0.982\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-12 20:32:26.243244+00:00, O3tot col 3.0289e+02\n", + "188845153_TEMPO_O3TOT_L2_V04_20240712T193053Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110004 -76.365158 34.121 45.673 302.19 0 0.359\n", + " 10 842 37.090652 -76.369545 34.112 45.652 302.13 0 0.364\n", + " 11 841 37.108082 -76.421875 34.086 45.651 303.34 0 0.367\n", + " 11 842 37.088715 -76.426254 34.078 45.630 305.64 0 0.463\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-12 19:32:26.261359+00:00, O3tot col 3.0332e+02\n", + "all qualities: averaged time 2024-07-12 19:32:26.261359+00:00, O3tot col 3.0332e+02\n", + "188845155_TEMPO_O3TOT_L2_V04_20240712T213053Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117401 -76.368324 57.827 45.670 304.85 0 1.000\n", + " 10 842 37.098053 -76.372711 57.825 45.649 306.46 0 1.000\n", + " 11 841 37.115726 -76.425743 57.791 45.648 305.64 0 1.000\n", + " 11 842 37.096359 -76.430130 57.789 45.627 305.78 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-12 21:32:29.292767+00:00, O3tot col 3.0568e+02\n", + "188845156_TEMPO_O3TOT_L2_V04_20240712T223053Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112762 -76.339439 69.666 45.673 304.98 0 1.000\n", + " 10 842 37.093441 -76.343826 69.667 45.652 306.19 0 1.000\n", + " 11 841 37.111111 -76.396332 69.632 45.651 306.30 0 0.818\n", + " 11 842 37.091763 -76.400711 69.633 45.630 304.86 0 0.803\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-12 22:32:26.261734+00:00, O3tot col 3.0558e+02\n", + "jobID = e13b52ae-f125-4e35-aecd-94596f6e4082\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188845342_TEMPO_O3TOT_L2_V04_20240713T105046Z_S001G03_subsetted.nc\n", + "./188845343_TEMPO_O3TOT_L2_V04_20240713T113051Z_S002G03_subsetted.nc\n", + "./188845344_TEMPO_O3TOT_L2_V04_20240713T121056Z_S003G03_subsetted.nc\n", + "./188845345_TEMPO_O3TOT_L2_V04_20240713T125101Z_S004G03_subsetted.nc\n", + "./188845347_TEMPO_O3TOT_L2_V04_20240713T143109Z_S006G03_subsetted.nc\n", + "./188845346_TEMPO_O3TOT_L2_V04_20240713T133109Z_S005G03_subsetted.nc\n", + "./188845349_TEMPO_O3TOT_L2_V04_20240713T163109Z_S008G03_subsetted.nc\n", + "./188845350_TEMPO_O3TOT_L2_V04_20240713T173109Z_S009G03_subsetted.nc\n", + "./188845348_TEMPO_O3TOT_L2_V04_20240713T153109Z_S007G03_subsetted.nc\n", + "./188845351_TEMPO_O3TOT_L2_V04_20240713T183109Z_S010G03_subsetted.nc\n", + "./188845352_TEMPO_O3TOT_L2_V04_20240713T193109Z_S011G03_subsetted.nc\n", + "./188845353_TEMPO_O3TOT_L2_V04_20240713T203109Z_S012G03_subsetted.nc\n", + "./188845355_TEMPO_O3TOT_L2_V04_20240713T223109Z_S014G03_subsetted.nc\n", + "./188845354_TEMPO_O3TOT_L2_V04_20240713T213109Z_S013G03_subsetted.nc\n", + "Number of result files: 14\n", + "188845342_TEMPO_O3TOT_L2_V04_20240713T105046Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109592 -76.366524 80.621 45.699 323.79 0 0.259\n", + " 10 842 37.090210 -76.370918 80.631 45.677 325.79 0 0.303\n", + " 11 841 37.107826 -76.423721 80.655 45.677 330.68 0 0.220\n", + " 11 842 37.088436 -76.428093 80.665 45.655 327.95 0 0.334\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-13 10:52:22.264496+00:00, O3tot col 3.2705e+02\n", + "188845343_TEMPO_O3TOT_L2_V04_20240713T113051Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115059 -76.381668 73.013 45.699 299.00 0 0.280\n", + " 10 842 37.095692 -76.386055 73.021 45.678 298.69 0 0.272\n", + " 11 841 37.112923 -76.438683 73.048 45.677 300.06 0 0.422\n", + " 11 842 37.093590 -76.443031 73.056 45.655 301.45 0 0.377\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 11:32:27.268941+00:00, O3tot col 2.9980e+02\n", + "all qualities: averaged time 2024-07-13 11:32:27.268941+00:00, O3tot col 2.9980e+02\n", + "188845344_TEMPO_O3TOT_L2_V04_20240713T121056Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105888 -76.364067 65.190 45.696 300.69 0 0.842\n", + " 10 843 37.086525 -76.368454 65.196 45.674 302.29 0 0.804\n", + " 11 842 37.104298 -76.421211 65.225 45.674 299.54 0 0.760\n", + " 11 843 37.084904 -76.425598 65.232 45.653 301.31 0 0.755\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-13 12:12:32.272496+00:00, O3tot col 3.0096e+02\n", + "188845345_TEMPO_O3TOT_L2_V04_20240713T125101Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110130 -76.356827 57.259 45.702 298.38 0 0.733\n", + " 10 842 37.090771 -76.361221 57.264 45.681 297.25 0 0.673\n", + " 11 841 37.108646 -76.414337 57.295 45.681 299.29 0 0.697\n", + " 11 842 37.089272 -76.418724 57.300 45.659 299.55 0 0.678\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-13 12:52:34.223483+00:00, O3tot col 2.9862e+02\n", + "188845347_TEMPO_O3TOT_L2_V04_20240713T143109Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.116730 -76.337227 37.420 45.714 313.26 128 0.230\n", + " 9 842 37.097389 -76.341621 37.419 45.693 311.87 128 0.172\n", + " 10 841 37.114498 -76.395042 37.455 45.691 300.08 0 0.176\n", + " 10 842 37.095139 -76.399429 37.454 45.670 300.98 0 0.170\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 14:32:40.757967+00:00, O3tot col 3.0053e+02\n", + "all qualities: averaged time 2024-07-13 14:32:40.757967+00:00, O3tot col 3.0053e+02\n", + "188845346_TEMPO_O3TOT_L2_V04_20240713T133109Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.111053 -76.357887 49.266 45.702 296.37 0 0.403\n", + " 10 843 37.091694 -76.362282 49.269 45.681 297.17 0 0.455\n", + " 11 842 37.108986 -76.415413 49.302 45.680 295.78 0 0.490\n", + " 11 843 37.089615 -76.419800 49.304 45.658 297.46 0 0.491\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 13:32:42.260714+00:00, O3tot col 2.9669e+02\n", + "all qualities: averaged time 2024-07-13 13:32:42.260714+00:00, O3tot col 2.9669e+02\n", + "188845349_TEMPO_O3TOT_L2_V04_20240713T163109Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.105484 -76.379982 17.524 45.683 299.42 0 0.061\n", + " 10 842 37.086121 -76.384377 17.509 45.662 294.85 0 0.224\n", + " 11 841 37.103523 -76.437737 17.541 45.661 307.37 128 0.089\n", + " 11 842 37.084183 -76.442108 17.526 45.639 313.28 128 0.193\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 16:32:40.751095+00:00, O3tot col 2.9714e+02\n", + "all qualities: averaged time 2024-07-13 16:32:40.751095+00:00, O3tot col 2.9714e+02\n", + "188845350_TEMPO_O3TOT_L2_V04_20240713T173109Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.122425 -76.328262 16.152 45.716 295.26 0 0.354\n", + " 9 841 37.103077 -76.332664 16.133 45.695 298.28 0 0.163\n", + " 10 840 37.120617 -76.385666 16.139 45.694 307.15 128 0.033\n", + " 10 841 37.101254 -76.390068 16.120 45.672 311.40 128 0.177\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 17:32:37.715643+00:00, O3tot col 2.9677e+02\n", + "all qualities: averaged time 2024-07-13 17:32:37.715643+00:00, O3tot col 2.9677e+02\n", + "188845348_TEMPO_O3TOT_L2_V04_20240713T153109Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115536 -76.374519 26.268 45.698 299.16 0 0.236\n", + " 10 842 37.096176 -76.378914 26.262 45.676 297.17 0 0.159\n", + " 11 841 37.113491 -76.431877 26.298 45.675 301.36 0 0.212\n", + " 11 842 37.094151 -76.436249 26.292 45.654 301.30 0 0.170\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 15:32:42.270581+00:00, O3tot col 2.9975e+02\n", + "all qualities: averaged time 2024-07-13 15:32:42.270581+00:00, O3tot col 2.9975e+02\n", + "188845351_TEMPO_O3TOT_L2_V04_20240713T183109Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108871 -76.366768 23.457 45.686 300.98 0 0.431\n", + " 10 842 37.089516 -76.371162 23.443 45.664 301.00 0 0.177\n", + " 11 841 37.106728 -76.423904 23.427 45.663 297.46 0 0.315\n", + " 11 842 37.087364 -76.428291 23.413 45.642 302.21 0 0.278\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 18:32:42.266030+00:00, O3tot col 3.0041e+02\n", + "all qualities: averaged time 2024-07-13 18:32:42.266030+00:00, O3tot col 3.0041e+02\n", + "188845352_TEMPO_O3TOT_L2_V04_20240713T193109Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.105751 -76.365715 34.233 45.680 302.15 0 0.011\n", + " 10 841 37.086395 -76.370102 34.224 45.659 301.73 0 0.009\n", + " 11 840 37.104469 -76.423126 34.198 45.658 304.10 0 0.030\n", + " 11 841 37.085098 -76.427521 34.190 45.637 303.92 0 0.010\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 19:32:42.264314+00:00, O3tot col 3.0298e+02\n", + "all qualities: averaged time 2024-07-13 19:32:42.264314+00:00, O3tot col 3.0298e+02\n", + "188845353_TEMPO_O3TOT_L2_V04_20240713T203109Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.116879 -76.345055 45.992 45.696 308.12 128 0.112\n", + " 10 841 37.097534 -76.349449 45.987 45.675 302.24 0 0.000\n", + " 11 840 37.115093 -76.401054 45.958 45.675 303.43 0 0.000\n", + " 11 841 37.095734 -76.405434 45.952 45.653 303.66 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 20:32:42.769628+00:00, O3tot col 3.0311e+02\n", + "all qualities: averaged time 2024-07-13 20:32:42.769628+00:00, O3tot col 3.0311e+02\n", + "188845355_TEMPO_O3TOT_L2_V04_20240713T223109Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.118557 -76.339821 69.776 45.697 301.88 0 0.000\n", + " 10 841 37.099216 -76.344215 69.777 45.675 301.82 0 0.000\n", + " 11 840 37.117088 -76.397461 69.741 45.675 303.90 0 0.000\n", + " 11 841 37.097729 -76.401848 69.742 45.653 302.63 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 22:32:42.263966+00:00, O3tot col 3.0256e+02\n", + "all qualities: averaged time 2024-07-13 22:32:42.263966+00:00, O3tot col 3.0256e+02\n", + "188845354_TEMPO_O3TOT_L2_V04_20240713T213109Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.104919 -76.374580 57.931 45.672 302.94 0 0.027\n", + " 10 842 37.085560 -76.378975 57.928 45.650 300.89 0 0.034\n", + " 11 841 37.103008 -76.432350 57.895 45.649 298.05 0 0.092\n", + " 11 842 37.083656 -76.436722 57.893 45.628 298.59 0 0.153\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-13 21:32:45.299755+00:00, O3tot col 3.0012e+02\n", + "all qualities: averaged time 2024-07-13 21:32:45.299755+00:00, O3tot col 3.0012e+02\n", + "jobID = 47be5627-b3a9-48db-a4f0-c9c051d5072f\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188845513_TEMPO_O3TOT_L2_V04_20240714T105104Z_S001G03_subsetted.nc\n", + "./188845514_TEMPO_O3TOT_L2_V04_20240714T113109Z_S002G03_subsetted.nc\n", + "./188845515_TEMPO_O3TOT_L2_V04_20240714T121114Z_S003G03_subsetted.nc\n", + "./188845517_TEMPO_O3TOT_L2_V04_20240714T133127Z_S005G03_subsetted.nc\n", + "./188845518_TEMPO_O3TOT_L2_V04_20240714T143127Z_S006G03_subsetted.nc\n", + "./188845516_TEMPO_O3TOT_L2_V04_20240714T125119Z_S004G03_subsetted.nc\n", + "./188845519_TEMPO_O3TOT_L2_V04_20240714T153127Z_S007G03_subsetted.nc\n", + "./188845520_TEMPO_O3TOT_L2_V04_20240714T163127Z_S008G03_subsetted.nc\n", + "./188845521_TEMPO_O3TOT_L2_V04_20240714T173127Z_S009G03_subsetted.nc\n", + "./188845522_TEMPO_O3TOT_L2_V04_20240714T183127Z_S010G03_subsetted.nc\n", + "./188845523_TEMPO_O3TOT_L2_V04_20240714T193127Z_S011G03_subsetted.nc\n", + "./188845525_TEMPO_O3TOT_L2_V04_20240714T213127Z_S013G03_subsetted.nc\n", + "./188845526_TEMPO_O3TOT_L2_V04_20240714T223127Z_S014G03_subsetted.nc\n", + "./188845524_TEMPO_O3TOT_L2_V04_20240714T203127Z_S012G03_subsetted.nc\n", + "Number of result files: 14\n", + "188845513_TEMPO_O3TOT_L2_V04_20240714T105104Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.118595 -76.329208 80.654 45.724 311.11 0 0.000\n", + " 9 843 37.099251 -76.333603 80.664 45.702 316.84 0 0.000\n", + " 10 842 37.116974 -76.387749 80.689 45.701 321.18 0 0.000\n", + " 10 843 37.097610 -76.392128 80.699 45.680 315.52 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-14 10:52:37.218836+00:00, O3tot col 3.1616e+02\n", + "188845514_TEMPO_O3TOT_L2_V04_20240714T113109Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.109226 -76.377396 73.060 45.697 301.10 0 0.000\n", + " 10 843 37.089855 -76.381767 73.068 45.676 301.32 0 0.000\n", + " 11 842 37.107624 -76.433815 73.094 45.675 300.85 0 0.000\n", + " 11 843 37.088257 -76.438171 73.102 45.654 300.99 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 11:32:45.271060+00:00, O3tot col 3.0106e+02\n", + "all qualities: averaged time 2024-07-14 11:32:45.271060+00:00, O3tot col 3.0106e+02\n", + "188845515_TEMPO_O3TOT_L2_V04_20240714T121114Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118298 -76.382416 65.246 45.704 300.21 0 0.000\n", + " 10 842 37.098923 -76.386810 65.253 45.683 299.85 0 0.000\n", + " 11 841 37.116760 -76.440254 65.282 45.682 299.86 0 0.000\n", + " 11 842 37.097420 -76.444611 65.289 45.661 300.29 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 12:12:50.259193+00:00, O3tot col 3.0005e+02\n", + "all qualities: averaged time 2024-07-14 12:12:50.259193+00:00, O3tot col 3.0005e+02\n", + "188845517_TEMPO_O3TOT_L2_V04_20240714T133127Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.108177 -76.379196 49.324 45.694 299.89 0 0.000\n", + " 10 843 37.088806 -76.383591 49.326 45.672 302.27 0 0.000\n", + " 11 842 37.106831 -76.436806 49.359 45.672 301.68 0 0.000\n", + " 11 843 37.087479 -76.441170 49.362 45.650 301.05 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 13:33:00.265600+00:00, O3tot col 3.0122e+02\n", + "all qualities: averaged time 2024-07-14 13:33:00.265600+00:00, O3tot col 3.0122e+02\n", + "188845518_TEMPO_O3TOT_L2_V04_20240714T143127Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115704 -76.341385 37.470 45.713 301.74 0 0.000\n", + " 10 842 37.096359 -76.345787 37.469 45.691 304.35 0 0.000\n", + " 11 841 37.114147 -76.398811 37.505 45.691 303.12 0 0.000\n", + " 11 842 37.094784 -76.403206 37.504 45.669 304.08 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 14:32:57.229519+00:00, O3tot col 3.0332e+02\n", + "all qualities: averaged time 2024-07-14 14:32:57.229519+00:00, O3tot col 3.0332e+02\n", + "188845516_TEMPO_O3TOT_L2_V04_20240714T125119Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.107109 -76.358025 57.302 45.701 300.48 0 0.000\n", + " 10 842 37.087749 -76.362419 57.306 45.680 300.33 0 0.000\n", + " 11 841 37.105625 -76.416100 57.338 45.679 300.19 0 0.000\n", + " 11 842 37.086235 -76.420494 57.343 45.657 300.28 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 12:52:52.229320+00:00, O3tot col 3.0032e+02\n", + "all qualities: averaged time 2024-07-14 12:52:52.229320+00:00, O3tot col 3.0032e+02\n", + "188845519_TEMPO_O3TOT_L2_V04_20240714T153127Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.120098 -76.338982 26.323 45.716 304.47 0 0.000\n", + " 9 841 37.100750 -76.343391 26.317 45.694 305.04 0 0.000\n", + " 10 840 37.118076 -76.396065 26.353 45.693 305.03 0 0.000\n", + " 10 841 37.098717 -76.400467 26.347 45.672 304.28 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 15:32:57.225902+00:00, O3tot col 3.0470e+02\n", + "all qualities: averaged time 2024-07-14 15:32:57.225902+00:00, O3tot col 3.0470e+02\n", + "188845520_TEMPO_O3TOT_L2_V04_20240714T163127Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109257 -76.375526 17.644 45.688 305.01 0 0.000\n", + " 10 842 37.089893 -76.379929 17.629 45.667 305.12 0 0.000\n", + " 11 841 37.108021 -76.432846 17.661 45.667 305.22 0 0.000\n", + " 11 842 37.088661 -76.437233 17.646 45.645 305.99 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 16:33:00.273403+00:00, O3tot col 3.0533e+02\n", + "all qualities: averaged time 2024-07-14 16:33:00.273403+00:00, O3tot col 3.0533e+02\n", + "188845521_TEMPO_O3TOT_L2_V04_20240714T173127Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.121422 -76.378250 16.303 45.697 309.43 0 0.000\n", + " 10 841 37.102062 -76.382652 16.283 45.675 306.79 0 0.000\n", + " 11 840 37.119305 -76.434486 16.290 45.675 308.45 0 0.000\n", + " 11 841 37.099972 -76.438858 16.271 45.653 306.94 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 17:33:00.270790+00:00, O3tot col 3.0790e+02\n", + "all qualities: averaged time 2024-07-14 17:33:00.270790+00:00, O3tot col 3.0790e+02\n", + "188845522_TEMPO_O3TOT_L2_V04_20240714T183127Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122192 -76.368141 23.607 45.698 311.79 0 0.000\n", + " 10 841 37.102837 -76.372536 23.593 45.676 309.29 0 0.000\n", + " 11 840 37.120903 -76.424309 23.578 45.676 310.50 0 0.000\n", + " 11 841 37.101524 -76.428696 23.564 45.655 309.45 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 18:33:00.267930+00:00, O3tot col 3.1026e+02\n", + "all qualities: averaged time 2024-07-14 18:33:00.267930+00:00, O3tot col 3.1026e+02\n", + "188845523_TEMPO_O3TOT_L2_V04_20240714T193127Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122417 -76.371986 34.359 45.693 313.05 0 0.000\n", + " 10 841 37.103065 -76.376381 34.350 45.672 312.44 0 0.000\n", + " 11 840 37.120659 -76.429001 34.325 45.671 312.82 0 0.000\n", + " 11 841 37.101318 -76.433365 34.316 45.650 312.15 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 19:33:00.268813+00:00, O3tot col 3.1262e+02\n", + "all qualities: averaged time 2024-07-14 19:33:00.268813+00:00, O3tot col 3.1262e+02\n", + "188845525_TEMPO_O3TOT_L2_V04_20240714T213127Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122135 -76.354385 58.055 45.695 316.55 0 0.000\n", + " 10 841 37.102783 -76.358788 58.053 45.673 315.75 128 0.027\n", + " 11 840 37.120487 -76.411209 58.020 45.673 316.00 0 0.012\n", + " 11 841 37.101131 -76.415581 58.018 45.652 313.97 0 0.012\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 21:33:00.773990+00:00, O3tot col 3.1551e+02\n", + "all qualities: averaged time 2024-07-14 21:33:00.773990+00:00, O3tot col 3.1551e+02\n", + "188845526_TEMPO_O3TOT_L2_V04_20240714T223127Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110710 -76.349480 69.894 45.684 312.82 0 0.000\n", + " 10 842 37.091358 -76.353874 69.894 45.662 311.16 0 0.000\n", + " 11 841 37.109215 -76.406380 69.859 45.662 312.86 0 0.000\n", + " 11 842 37.089874 -76.410759 69.860 45.640 312.88 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 22:33:00.269649+00:00, O3tot col 3.1243e+02\n", + "all qualities: averaged time 2024-07-14 22:33:00.269649+00:00, O3tot col 3.1243e+02\n", + "188845524_TEMPO_O3TOT_L2_V04_20240714T203127Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.106728 -76.355263 46.103 45.681 313.47 0 0.000\n", + " 10 841 37.087379 -76.359657 46.098 45.659 311.55 0 0.000\n", + " 11 840 37.105198 -76.411942 46.068 45.659 309.86 0 0.000\n", + " 11 841 37.085835 -76.416321 46.062 45.638 310.35 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-14 20:33:00.270333+00:00, O3tot col 3.1131e+02\n", + "all qualities: averaged time 2024-07-14 20:33:00.270333+00:00, O3tot col 3.1131e+02\n", + "jobID = d96df818-298f-42d7-9726-576cabc77622\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188847031_TEMPO_O3TOT_L2_V04_20240715T113127Z_S002G03_subsetted.nc\n", + "./188847030_TEMPO_O3TOT_L2_V04_20240715T105122Z_S001G03_subsetted.nc\n", + "./188847033_TEMPO_O3TOT_L2_V04_20240715T125137Z_S004G03_subsetted.nc\n", + "./188847032_TEMPO_O3TOT_L2_V04_20240715T121132Z_S003G03_subsetted.nc\n", + "./188847034_TEMPO_O3TOT_L2_V04_20240715T133145Z_S005G03_subsetted.nc\n", + "./188847035_TEMPO_O3TOT_L2_V04_20240715T143145Z_S006G03_subsetted.nc\n", + "./188847036_TEMPO_O3TOT_L2_V04_20240715T153145Z_S007G03_subsetted.nc\n", + "./188847037_TEMPO_O3TOT_L2_V04_20240715T163145Z_S008G03_subsetted.nc\n", + "./188847038_TEMPO_O3TOT_L2_V04_20240715T173145Z_S009G03_subsetted.nc\n", + "./188847039_TEMPO_O3TOT_L2_V04_20240715T183145Z_S010G03_subsetted.nc\n", + "./188847040_TEMPO_O3TOT_L2_V04_20240715T193145Z_S011G03_subsetted.nc\n", + "./188847041_TEMPO_O3TOT_L2_V04_20240715T203145Z_S012G03_subsetted.nc\n", + "./188847042_TEMPO_O3TOT_L2_V04_20240715T213145Z_S013G03_subsetted.nc\n", + "./188847043_TEMPO_O3TOT_L2_V04_20240715T223014Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188847031_TEMPO_O3TOT_L2_V04_20240715T113127Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.109406 -76.377411 73.110 45.700 308.28 0 0.000\n", + " 10 843 37.090042 -76.381790 73.118 45.679 306.56 0 0.000\n", + " 11 842 37.107845 -76.434357 73.144 45.678 306.70 0 0.000\n", + " 11 843 37.088486 -76.438713 73.153 45.657 307.39 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 11:33:03.258409+00:00, O3tot col 3.0723e+02\n", + "all qualities: averaged time 2024-07-15 11:33:03.258409+00:00, O3tot col 3.0723e+02\n", + "188847030_TEMPO_O3TOT_L2_V04_20240715T105122Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.123260 -76.337723 80.716 45.728 324.08 0 0.000\n", + " 10 842 37.103893 -76.342117 80.726 45.707 326.45 0 0.000\n", + " 11 841 37.121490 -76.394409 80.750 45.706 327.70 0 0.000\n", + " 11 842 37.102116 -76.398781 80.759 45.685 325.01 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-15 10:52:55.240834+00:00, O3tot col 3.2581e+02\n", + "188847033_TEMPO_O3TOT_L2_V04_20240715T125137Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121159 -76.367538 57.351 45.714 308.09 0 0.000\n", + " 10 842 37.101795 -76.371941 57.356 45.693 309.25 0 0.000\n", + " 11 841 37.119530 -76.424355 57.386 45.692 308.04 0 0.000\n", + " 11 842 37.100140 -76.428749 57.391 45.671 307.55 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 12:53:10.231673+00:00, O3tot col 3.0823e+02\n", + "all qualities: averaged time 2024-07-15 12:53:10.231673+00:00, O3tot col 3.0823e+02\n", + "188847032_TEMPO_O3TOT_L2_V04_20240715T121132Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.119926 -76.326706 65.257 45.728 308.23 0 0.000\n", + " 9 842 37.100582 -76.331100 65.264 45.707 308.10 0 0.000\n", + " 10 841 37.118282 -76.383957 65.293 45.706 306.14 0 0.000\n", + " 10 842 37.098915 -76.388344 65.299 45.685 308.14 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 12:13:05.228430+00:00, O3tot col 3.0765e+02\n", + "all qualities: averaged time 2024-07-15 12:13:05.228430+00:00, O3tot col 3.0765e+02\n", + "188847034_TEMPO_O3TOT_L2_V04_20240715T133145Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.116718 -76.375862 49.364 45.705 308.69 0 0.000\n", + " 10 843 37.097359 -76.380257 49.366 45.684 309.01 0 0.000\n", + " 11 842 37.115570 -76.433029 49.399 45.684 308.18 0 0.000\n", + " 11 843 37.096241 -76.437393 49.402 45.663 308.89 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 13:33:18.268034+00:00, O3tot col 3.0869e+02\n", + "all qualities: averaged time 2024-07-15 13:33:18.268034+00:00, O3tot col 3.0869e+02\n", + "188847035_TEMPO_O3TOT_L2_V04_20240715T143145Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.117348 -76.336273 37.516 45.716 309.40 0 0.000\n", + " 9 842 37.098007 -76.340668 37.515 45.694 308.94 0 0.000\n", + " 10 841 37.115505 -76.394112 37.551 45.693 309.16 0 0.000\n", + " 10 842 37.096149 -76.398499 37.550 45.672 310.38 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 14:33:15.231683+00:00, O3tot col 3.0947e+02\n", + "all qualities: averaged time 2024-07-15 14:33:15.231683+00:00, O3tot col 3.0947e+02\n", + "188847036_TEMPO_O3TOT_L2_V04_20240715T153145Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110130 -76.350296 26.398 45.700 309.56 0 0.000\n", + " 10 842 37.090778 -76.354698 26.391 45.679 309.29 0 0.000\n", + " 11 841 37.108795 -76.407478 26.428 45.678 308.22 0 0.000\n", + " 11 842 37.089451 -76.411865 26.422 45.657 309.32 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 15:33:15.228722+00:00, O3tot col 3.0910e+02\n", + "all qualities: averaged time 2024-07-15 15:33:15.228722+00:00, O3tot col 3.0910e+02\n", + "188847037_TEMPO_O3TOT_L2_V04_20240715T163145Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.108826 -76.332176 17.756 45.702 311.42 0 0.000\n", + " 9 842 37.089493 -76.336571 17.741 45.680 310.45 0 0.000\n", + " 10 841 37.107868 -76.388420 17.772 45.681 310.23 0 0.000\n", + " 10 842 37.088505 -76.392807 17.757 45.659 309.92 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 16:33:15.226120+00:00, O3tot col 3.1050e+02\n", + "all qualities: averaged time 2024-07-15 16:33:15.226120+00:00, O3tot col 3.1050e+02\n", + "188847038_TEMPO_O3TOT_L2_V04_20240715T173145Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.105404 -76.332321 16.464 45.694 311.74 0 0.000\n", + " 9 842 37.086063 -76.336731 16.444 45.673 312.14 0 0.000\n", + " 10 841 37.103592 -76.389679 16.451 45.672 309.69 0 0.000\n", + " 10 842 37.084229 -76.394073 16.431 45.651 311.26 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 17:33:15.225928+00:00, O3tot col 3.1121e+02\n", + "all qualities: averaged time 2024-07-15 17:33:15.225928+00:00, O3tot col 3.1121e+02\n", + "188847039_TEMPO_O3TOT_L2_V04_20240715T183145Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116001 -76.378326 23.753 45.685 313.42 0 0.000\n", + " 10 842 37.096642 -76.382721 23.739 45.664 313.72 0 0.000\n", + " 11 841 37.114563 -76.435318 23.724 45.663 312.47 0 0.000\n", + " 11 842 37.095242 -76.439674 23.710 45.642 312.76 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 18:33:21.307119+00:00, O3tot col 3.1309e+02\n", + "all qualities: averaged time 2024-07-15 18:33:21.307119+00:00, O3tot col 3.1309e+02\n", + "188847040_TEMPO_O3TOT_L2_V04_20240715T193145Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.110100 -76.345848 34.507 45.687 314.83 0 0.000\n", + " 10 841 37.090759 -76.350235 34.498 45.666 312.86 0 0.000\n", + " 11 840 37.108532 -76.403053 34.472 45.665 314.79 0 0.000\n", + " 11 841 37.089199 -76.407425 34.463 45.644 312.97 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 19:33:18.271822+00:00, O3tot col 3.1386e+02\n", + "all qualities: averaged time 2024-07-15 19:33:18.271822+00:00, O3tot col 3.1386e+02\n", + "188847041_TEMPO_O3TOT_L2_V04_20240715T203145Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.117031 -76.357712 46.237 45.688 312.32 0 0.000\n", + " 10 841 37.097683 -76.362106 46.231 45.666 312.20 0 0.000\n", + " 11 840 37.115479 -76.415276 46.201 45.666 311.75 0 0.000\n", + " 11 841 37.096119 -76.419662 46.195 45.644 310.65 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 20:33:21.306154+00:00, O3tot col 3.1173e+02\n", + "all qualities: averaged time 2024-07-15 20:33:21.306154+00:00, O3tot col 3.1173e+02\n", + "188847042_TEMPO_O3TOT_L2_V04_20240715T213145Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108158 -76.354797 58.190 45.678 309.33 0 0.000\n", + " 10 842 37.088810 -76.359184 58.188 45.656 310.48 0 0.000\n", + " 11 841 37.106800 -76.411484 58.155 45.656 309.77 0 0.000\n", + " 11 842 37.087444 -76.415863 58.153 45.635 309.37 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 21:33:21.289539+00:00, O3tot col 3.0974e+02\n", + "all qualities: averaged time 2024-07-15 21:33:21.289539+00:00, O3tot col 3.0974e+02\n", + "188847043_TEMPO_O3TOT_L2_V04_20240715T223014Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.109428 -76.375008 70.012 45.671 306.12 0 0.004\n", + " 10 841 37.090061 -76.379402 70.013 45.650 306.60 0 0.031\n", + " 11 840 37.107906 -76.431396 69.978 45.649 307.75 0 0.000\n", + " 11 841 37.088551 -76.435776 69.979 45.628 308.41 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-15 22:33:21.305580+00:00, O3tot col 3.0722e+02\n", + "all qualities: averaged time 2024-07-15 22:33:21.305580+00:00, O3tot col 3.0722e+02\n", + "jobID = 54fb90dd-0b40-415a-8877-c4bc857d8c73\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188847331_TEMPO_O3TOT_L2_V04_20240716T104134Z_S001G03_subsetted.nc\n", + "./188847332_TEMPO_O3TOT_L2_V04_20240716T112139Z_S002G03_subsetted.nc\n", + "./188847334_TEMPO_O3TOT_L2_V04_20240716T124149Z_S004G03_subsetted.nc\n", + "./188847333_TEMPO_O3TOT_L2_V04_20240716T120144Z_S003G03_subsetted.nc\n", + "./188847335_TEMPO_O3TOT_L2_V04_20240716T132154Z_S005G03_subsetted.nc\n", + "./188847336_TEMPO_O3TOT_L2_V04_20240716T140202Z_S006G03_subsetted.nc\n", + "./188847338_TEMPO_O3TOT_L2_V04_20240716T160202Z_S008G03_subsetted.nc\n", + "./188847337_TEMPO_O3TOT_L2_V04_20240716T150202Z_S007G03_subsetted.nc\n", + "./188847340_TEMPO_O3TOT_L2_V04_20240716T180202Z_S010G03_subsetted.nc\n", + "./188847339_TEMPO_O3TOT_L2_V04_20240716T170202Z_S009G03_subsetted.nc\n", + "./188847341_TEMPO_O3TOT_L2_V04_20240716T190202Z_S011G03_subsetted.nc\n", + "./188847342_TEMPO_O3TOT_L2_V04_20240716T200202Z_S012G03_subsetted.nc\n", + "./188847343_TEMPO_O3TOT_L2_V04_20240716T210202Z_S013G03_subsetted.nc\n", + "./188847344_TEMPO_O3TOT_L2_V04_20240716T220202Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188847331_TEMPO_O3TOT_L2_V04_20240716T104134Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116486 -76.368637 82.677 45.714 325.69 0 0.000\n", + " 10 842 37.097111 -76.373032 82.687 45.692 322.79 0 0.000\n", + " 11 841 37.114433 -76.425217 82.710 45.692 329.78 0 0.000\n", + " 11 842 37.095039 -76.429604 82.720 45.670 333.48 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-16 10:43:10.258534+00:00, O3tot col 3.2793e+02\n", + "188847332_TEMPO_O3TOT_L2_V04_20240716T112139Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 843 37.105911 -76.359200 75.094 45.706 311.09 0 0.154\n", + " 10 844 37.086552 -76.363586 75.102 45.684 310.70 0 0.012\n", + " 11 843 37.104153 -76.418365 75.130 45.683 310.06 0 0.000\n", + " 11 844 37.084755 -76.422745 75.139 45.662 309.71 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 11:23:15.261720+00:00, O3tot col 3.1039e+02\n", + "all qualities: averaged time 2024-07-16 11:23:15.261720+00:00, O3tot col 3.1039e+02\n", + "188847334_TEMPO_O3TOT_L2_V04_20240716T124149Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116192 -76.381889 59.405 45.706 306.70 0 0.514\n", + " 10 842 37.096825 -76.386292 59.410 45.685 304.54 0 0.501\n", + " 11 841 37.114475 -76.439316 59.441 45.684 306.36 0 0.470\n", + " 11 842 37.095146 -76.443672 59.446 45.663 301.71 0 0.315\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 12:43:26.784573+00:00, O3tot col 3.0403e+02\n", + "all qualities: averaged time 2024-07-16 12:43:25.268035+00:00, O3tot col 3.0483e+02\n", + "188847333_TEMPO_O3TOT_L2_V04_20240716T120144Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.111351 -76.352905 67.302 45.713 305.76 0 0.220\n", + " 10 843 37.091988 -76.357300 67.309 45.691 306.07 0 0.204\n", + " 11 842 37.109764 -76.409897 67.337 45.691 304.40 0 0.141\n", + " 11 843 37.090401 -76.414276 67.344 45.670 306.42 0 0.138\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 12:03:20.264803+00:00, O3tot col 3.0566e+02\n", + "all qualities: averaged time 2024-07-16 12:03:20.264803+00:00, O3tot col 3.0566e+02\n", + "188847335_TEMPO_O3TOT_L2_V04_20240716T132154Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.113522 -76.343666 51.394 45.715 306.07 0 0.449\n", + " 10 843 37.094173 -76.348061 51.397 45.694 305.74 0 0.433\n", + " 11 842 37.112003 -76.399658 51.428 45.694 305.68 0 0.523\n", + " 11 843 37.092651 -76.404045 51.431 45.672 304.75 0 0.494\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 13:23:29.765805+00:00, O3tot col 3.0552e+02\n", + "all qualities: averaged time 2024-07-16 13:23:30.271318+00:00, O3tot col 3.0556e+02\n", + "188847336_TEMPO_O3TOT_L2_V04_20240716T140202Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.106327 -76.330040 43.433 45.711 302.37 0 0.172\n", + " 9 843 37.086983 -76.334442 43.434 45.689 305.25 0 0.221\n", + " 10 842 37.103905 -76.387154 43.468 45.688 310.10 0 0.000\n", + " 10 843 37.084541 -76.391541 43.469 45.666 312.47 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 14:03:32.224832+00:00, O3tot col 3.0755e+02\n", + "all qualities: averaged time 2024-07-16 14:03:32.224832+00:00, O3tot col 3.0755e+02\n", + "188847338_TEMPO_O3TOT_L2_V04_20240716T160202Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108723 -76.364143 21.650 45.692 306.67 0 0.086\n", + " 10 842 37.089371 -76.368546 21.639 45.671 307.49 0 0.076\n", + " 11 841 37.107517 -76.421043 21.675 45.671 307.54 0 0.064\n", + " 11 842 37.088142 -76.425438 21.665 45.649 309.71 0 0.035\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 16:03:35.268286+00:00, O3tot col 3.0785e+02\n", + "all qualities: averaged time 2024-07-16 16:03:35.268286+00:00, O3tot col 3.0785e+02\n", + "188847337_TEMPO_O3TOT_L2_V04_20240716T150202Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.104797 -76.348633 31.862 45.698 313.78 0 0.000\n", + " 10 843 37.085445 -76.353027 31.858 45.677 314.71 0 0.000\n", + " 11 842 37.103405 -76.406036 31.895 45.676 312.02 0 0.000\n", + " 11 843 37.084053 -76.410416 31.891 45.655 313.94 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 15:03:35.271254+00:00, O3tot col 3.1361e+02\n", + "all qualities: averaged time 2024-07-16 15:03:35.271254+00:00, O3tot col 3.1361e+02\n", + "188847340_TEMPO_O3TOT_L2_V04_20240716T180202Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112606 -76.379486 19.545 45.681 318.17 0 0.000\n", + " 10 842 37.093243 -76.383881 19.527 45.659 319.80 0 0.000\n", + " 11 841 37.110882 -76.436584 19.521 45.659 318.75 0 0.000\n", + " 11 842 37.091553 -76.440948 19.504 45.637 317.43 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 18:03:38.298739+00:00, O3tot col 3.1854e+02\n", + "all qualities: averaged time 2024-07-16 18:03:38.298739+00:00, O3tot col 3.1854e+02\n", + "188847339_TEMPO_O3TOT_L2_V04_20240716T170202Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.106819 -76.365303 16.002 45.685 316.38 0 0.000\n", + " 10 842 37.087467 -76.369698 15.983 45.663 316.33 0 0.000\n", + " 11 841 37.104816 -76.421707 16.004 45.663 316.13 0 0.000\n", + " 11 842 37.085438 -76.426094 15.985 45.641 315.75 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 17:03:35.265473+00:00, O3tot col 3.1615e+02\n", + "all qualities: averaged time 2024-07-16 17:03:35.265473+00:00, O3tot col 3.1615e+02\n", + "188847341_TEMPO_O3TOT_L2_V04_20240716T190202Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.118313 -76.347107 29.069 45.693 320.60 0 0.000\n", + " 10 841 37.098965 -76.351501 29.058 45.672 319.84 0 0.000\n", + " 11 840 37.117073 -76.403908 29.037 45.672 323.13 0 0.000\n", + " 11 841 37.097721 -76.408287 29.025 45.651 320.26 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 19:03:35.263682+00:00, O3tot col 3.2096e+02\n", + "all qualities: averaged time 2024-07-16 19:03:35.263682+00:00, O3tot col 3.2096e+02\n", + "188847342_TEMPO_O3TOT_L2_V04_20240716T200202Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.121944 -76.329437 40.457 45.700 322.51 0 0.000\n", + " 9 841 37.102604 -76.333832 40.450 45.678 320.93 0 0.000\n", + " 10 840 37.120197 -76.386345 40.422 45.678 322.54 0 0.000\n", + " 10 841 37.100842 -76.390732 40.415 45.656 321.13 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 20:03:35.263135+00:00, O3tot col 3.2178e+02\n", + "all qualities: averaged time 2024-07-16 20:03:35.263135+00:00, O3tot col 3.2178e+02\n", + "188847343_TEMPO_O3TOT_L2_V04_20240716T210202Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109539 -76.356369 52.336 45.675 319.91 0 0.000\n", + " 10 842 37.090191 -76.360764 52.333 45.654 320.60 0 0.000\n", + " 11 841 37.107822 -76.413033 52.301 45.653 320.97 0 0.000\n", + " 11 842 37.088467 -76.417412 52.297 45.632 319.58 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 21:03:38.298878+00:00, O3tot col 3.2027e+02\n", + "all qualities: averaged time 2024-07-16 21:03:38.298878+00:00, O3tot col 3.2027e+02\n", + "188847344_TEMPO_O3TOT_L2_V04_20240716T220202Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.118832 -76.369644 64.254 45.679 318.74 0 0.000\n", + " 10 841 37.099476 -76.374039 64.253 45.657 318.08 0 0.000\n", + " 11 840 37.117111 -76.428177 64.218 45.656 318.29 0 0.000\n", + " 11 841 37.097763 -76.432549 64.217 45.635 317.00 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-16 22:03:38.296425+00:00, O3tot col 3.1803e+02\n", + "all qualities: averaged time 2024-07-16 22:03:38.296425+00:00, O3tot col 3.1803e+02\n", + "jobID = ffd320b1-3172-4984-b979-5db12887fa74\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188847592_TEMPO_O3TOT_L2_V04_20240717T104152Z_S001G03_subsetted.nc\n", + "./188847593_TEMPO_O3TOT_L2_V04_20240717T112157Z_S002G03_subsetted.nc\n", + "./188847595_TEMPO_O3TOT_L2_V04_20240717T124207Z_S004G03_subsetted.nc\n", + "./188847594_TEMPO_O3TOT_L2_V04_20240717T120202Z_S003G03_subsetted.nc\n", + "./188847596_TEMPO_O3TOT_L2_V04_20240717T132212Z_S005G03_subsetted.nc\n", + "./188847597_TEMPO_O3TOT_L2_V04_20240717T140220Z_S006G03_subsetted.nc\n", + "./188847598_TEMPO_O3TOT_L2_V04_20240717T150220Z_S007G03_subsetted.nc\n", + "./188847599_TEMPO_O3TOT_L2_V04_20240717T160220Z_S008G03_subsetted.nc\n", + "./188847600_TEMPO_O3TOT_L2_V04_20240717T170220Z_S009G03_subsetted.nc\n", + "./188847601_TEMPO_O3TOT_L2_V04_20240717T180220Z_S010G03_subsetted.nc\n", + "./188847602_TEMPO_O3TOT_L2_V04_20240717T190220Z_S011G03_subsetted.nc\n", + "./188847603_TEMPO_O3TOT_L2_V04_20240717T200220Z_S012G03_subsetted.nc\n", + "./188847604_TEMPO_O3TOT_L2_V04_20240717T210220Z_S013G03_subsetted.nc\n", + "./188847605_TEMPO_O3TOT_L2_V04_20240717T220220Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188847592_TEMPO_O3TOT_L2_V04_20240717T104152Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112766 -76.347641 82.734 45.720 323.60 0 0.000\n", + " 10 842 37.093395 -76.352036 82.744 45.699 334.55 0 0.000\n", + " 11 841 37.111122 -76.402489 82.766 45.699 329.81 0 0.006\n", + " 11 842 37.091759 -76.406860 82.777 45.678 325.02 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-17 10:43:25.232752+00:00, O3tot col 3.2824e+02\n", + "188847593_TEMPO_O3TOT_L2_V04_20240717T112157Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.114017 -76.346382 75.137 45.721 312.23 0 0.000\n", + " 10 843 37.094662 -76.350777 75.145 45.700 310.62 0 0.008\n", + " 11 842 37.112759 -76.403694 75.172 45.700 310.06 0 0.025\n", + " 11 843 37.093403 -76.408073 75.180 45.678 309.75 0 0.063\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 11:23:33.267982+00:00, O3tot col 3.1067e+02\n", + "all qualities: averaged time 2024-07-17 11:23:33.267982+00:00, O3tot col 3.1067e+02\n", + "188847595_TEMPO_O3TOT_L2_V04_20240717T124207Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.120365 -76.336639 59.425 45.728 309.34 0 0.000\n", + " 9 842 37.101009 -76.341057 59.430 45.707 308.21 0 0.045\n", + " 10 841 37.118290 -76.394562 59.462 45.706 308.17 0 0.035\n", + " 10 842 37.098927 -76.398956 59.466 45.684 308.81 0 0.038\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 12:43:40.220404+00:00, O3tot col 3.0863e+02\n", + "all qualities: averaged time 2024-07-17 12:43:40.220404+00:00, O3tot col 3.0863e+02\n", + "188847594_TEMPO_O3TOT_L2_V04_20240717T120202Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118774 -76.373337 67.367 45.715 307.95 0 0.083\n", + " 10 842 37.099407 -76.377731 67.373 45.694 308.88 0 0.053\n", + " 11 841 37.117081 -76.430496 67.402 45.693 307.26 0 0.130\n", + " 11 842 37.097733 -76.434875 67.409 45.672 309.49 0 0.121\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 12:03:38.250653+00:00, O3tot col 3.0839e+02\n", + "all qualities: averaged time 2024-07-17 12:03:38.250653+00:00, O3tot col 3.0839e+02\n", + "188847596_TEMPO_O3TOT_L2_V04_20240717T132212Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.115826 -76.369133 51.460 45.710 309.54 0 0.042\n", + " 10 843 37.096462 -76.373535 51.463 45.688 308.85 0 0.036\n", + " 11 842 37.114094 -76.426727 51.496 45.688 306.35 0 0.087\n", + " 11 843 37.094719 -76.431114 51.499 45.666 308.88 0 0.048\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 13:23:48.256611+00:00, O3tot col 3.0840e+02\n", + "all qualities: averaged time 2024-07-17 13:23:48.256611+00:00, O3tot col 3.0840e+02\n", + "188847597_TEMPO_O3TOT_L2_V04_20240717T140220Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105328 -76.374123 43.507 45.694 311.28 0 0.000\n", + " 10 843 37.085960 -76.378525 43.507 45.673 311.83 0 0.000\n", + " 11 842 37.103310 -76.432739 43.543 45.672 310.47 0 0.000\n", + " 11 843 37.083946 -76.437119 43.543 45.650 310.08 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 14:03:53.270868+00:00, O3tot col 3.1091e+02\n", + "all qualities: averaged time 2024-07-17 14:03:53.270868+00:00, O3tot col 3.1091e+02\n", + "188847598_TEMPO_O3TOT_L2_V04_20240717T150220Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110893 -76.373138 31.945 45.695 311.53 0 0.000\n", + " 10 842 37.091530 -76.377533 31.942 45.674 310.21 0 0.000\n", + " 11 841 37.109238 -76.429840 31.978 45.674 310.26 0 0.000\n", + " 11 842 37.089882 -76.434219 31.974 45.652 310.87 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 15:03:53.274679+00:00, O3tot col 3.1072e+02\n", + "all qualities: averaged time 2024-07-17 15:03:53.274679+00:00, O3tot col 3.1072e+02\n", + "188847599_TEMPO_O3TOT_L2_V04_20240717T160220Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.104458 -76.369637 21.752 45.684 314.04 0 0.000\n", + " 10 843 37.085102 -76.374031 21.742 45.663 314.71 0 0.000\n", + " 11 842 37.102909 -76.426720 21.777 45.662 313.13 0 0.000\n", + " 11 843 37.083549 -76.431099 21.767 45.641 312.90 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 16:03:53.272155+00:00, O3tot col 3.1369e+02\n", + "all qualities: averaged time 2024-07-17 16:03:53.272155+00:00, O3tot col 3.1369e+02\n", + "188847600_TEMPO_O3TOT_L2_V04_20240717T170220Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109077 -76.356544 16.171 45.688 314.68 0 0.000\n", + " 10 842 37.089729 -76.360939 16.152 45.666 314.69 0 0.000\n", + " 11 841 37.106941 -76.415321 16.173 45.664 313.75 0 0.000\n", + " 11 842 37.087578 -76.419708 16.154 45.643 313.23 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 17:03:53.268675+00:00, O3tot col 3.1409e+02\n", + "all qualities: averaged time 2024-07-17 17:03:53.268675+00:00, O3tot col 3.1409e+02\n", + "188847601_TEMPO_O3TOT_L2_V04_20240717T180220Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.113892 -76.336731 19.734 45.694 314.85 0 0.000\n", + " 9 842 37.094570 -76.341110 19.717 45.672 314.59 0 0.000\n", + " 10 841 37.112576 -76.392868 19.712 45.672 314.82 0 0.000\n", + " 10 842 37.093227 -76.397247 19.694 45.651 313.83 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 18:03:53.264853+00:00, O3tot col 3.1452e+02\n", + "all qualities: averaged time 2024-07-17 18:03:53.264853+00:00, O3tot col 3.1452e+02\n", + "188847602_TEMPO_O3TOT_L2_V04_20240717T190220Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.115555 -76.328987 29.231 45.693 313.92 128 0.029\n", + " 9 842 37.096237 -76.333374 29.220 45.671 312.65 0 0.000\n", + " 10 841 37.113384 -76.386765 29.198 45.670 312.63 0 0.000\n", + " 10 842 37.094044 -76.391144 29.186 45.649 314.85 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 19:03:53.771614+00:00, O3tot col 3.1338e+02\n", + "all qualities: averaged time 2024-07-17 19:03:53.771614+00:00, O3tot col 3.1338e+02\n", + "188847603_TEMPO_O3TOT_L2_V04_20240717T200220Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.109646 -76.339699 40.584 45.679 312.55 0 0.109\n", + " 10 841 37.090317 -76.344086 40.577 45.657 314.35 128 0.012\n", + " 11 840 37.108303 -76.397934 40.548 45.657 316.10 0 0.000\n", + " 11 841 37.088963 -76.402313 40.541 45.635 314.61 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 20:03:53.770608+00:00, O3tot col 3.1442e+02\n", + "all qualities: averaged time 2024-07-17 20:03:53.770608+00:00, O3tot col 3.1442e+02\n", + "188847604_TEMPO_O3TOT_L2_V04_20240717T210220Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108971 -76.363289 52.465 45.667 307.30 0 1.000\n", + " 10 842 37.089622 -76.367676 52.461 45.646 310.04 0 1.000\n", + " 11 841 37.107887 -76.419846 52.430 45.646 308.91 0 1.000\n", + " 11 842 37.088516 -76.424232 52.426 45.624 310.07 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-17 21:03:56.298510+00:00, O3tot col 3.0908e+02\n", + "188847605_TEMPO_O3TOT_L2_V04_20240717T220220Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.106602 -76.375641 64.388 45.659 308.86 0 0.304\n", + " 10 842 37.087242 -76.380035 64.387 45.638 306.19 0 0.281\n", + " 11 841 37.104614 -76.431847 64.353 45.637 302.36 0 0.040\n", + " 11 842 37.085258 -76.436226 64.352 45.616 305.10 0 0.078\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-17 22:03:56.299103+00:00, O3tot col 3.0563e+02\n", + "all qualities: averaged time 2024-07-17 22:03:56.299103+00:00, O3tot col 3.0563e+02\n", + "jobID = 803be81a-5f14-448f-b4a5-9035a9c1dd88\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188847675_TEMPO_O3TOT_L2_V04_20240718T124224Z_S004G03_subsetted.nc\n", + "./188847672_TEMPO_O3TOT_L2_V04_20240718T104209Z_S001G03_subsetted.nc\n", + "./188847674_TEMPO_O3TOT_L2_V04_20240718T120219Z_S003G03_subsetted.nc\n", + "./188847673_TEMPO_O3TOT_L2_V04_20240718T112214Z_S002G03_subsetted.nc\n", + "./188847678_TEMPO_O3TOT_L2_V04_20240718T150237Z_S007G03_subsetted.nc\n", + "./188847679_TEMPO_O3TOT_L2_V04_20240718T160237Z_S008G03_subsetted.nc\n", + "./188847676_TEMPO_O3TOT_L2_V04_20240718T132229Z_S005G03_subsetted.nc\n", + "./188847677_TEMPO_O3TOT_L2_V04_20240718T140237Z_S006G03_subsetted.nc\n", + "./188847680_TEMPO_O3TOT_L2_V04_20240718T170237Z_S009G03_subsetted.nc\n", + "./188847681_TEMPO_O3TOT_L2_V04_20240718T180237Z_S010G03_subsetted.nc\n", + "./188847682_TEMPO_O3TOT_L2_V04_20240718T190237Z_S011G03_subsetted.nc\n", + "./188847683_TEMPO_O3TOT_L2_V04_20240718T200237Z_S012G03_subsetted.nc\n", + "./188847684_TEMPO_O3TOT_L2_V04_20240718T210237Z_S013G03_subsetted.nc\n", + "./188847685_TEMPO_O3TOT_L2_V04_20240718T220237Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188847675_TEMPO_O3TOT_L2_V04_20240718T124224Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.107033 -76.378357 59.501 45.702 308.69 0 0.384\n", + " 10 843 37.087658 -76.382759 59.505 45.681 308.16 0 0.458\n", + " 11 842 37.104977 -76.434517 59.535 45.680 309.85 0 0.451\n", + " 11 843 37.085609 -76.438896 59.540 45.659 307.32 0 0.366\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-18 12:44:00.270667+00:00, O3tot col 3.0850e+02\n", + "all qualities: averaged time 2024-07-18 12:44:00.270667+00:00, O3tot col 3.0850e+02\n", + "188847672_TEMPO_O3TOT_L2_V04_20240718T104209Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110237 -76.357895 82.801 45.717 340.17 128 0.138\n", + " 10 842 37.090855 -76.362289 82.811 45.696 336.53 0 0.231\n", + " 11 841 37.108887 -76.413925 82.834 45.696 340.55 0 0.609\n", + " 11 842 37.089493 -76.418304 82.844 45.675 345.61 0 0.447\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-18 10:43:45.773522+00:00, O3tot col 3.4090e+02\n", + "188847674_TEMPO_O3TOT_L2_V04_20240718T120219Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.112885 -76.366470 67.417 45.715 311.92 0 0.510\n", + " 10 843 37.093506 -76.370865 67.423 45.693 312.15 0 0.511\n", + " 11 842 37.110847 -76.424118 67.452 45.692 311.16 0 0.580\n", + " 11 843 37.091457 -76.428513 67.459 45.671 312.84 0 0.511\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-18 12:03:55.267088+00:00, O3tot col 3.1202e+02\n", + "188847673_TEMPO_O3TOT_L2_V04_20240718T112214Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.106606 -76.352814 75.204 45.715 311.78 0 0.261\n", + " 10 843 37.087234 -76.357208 75.212 45.693 311.60 0 0.210\n", + " 11 842 37.105026 -76.410934 75.239 45.693 316.62 0 0.492\n", + " 11 843 37.085644 -76.415321 75.248 45.671 315.77 0 0.429\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-18 11:23:50.263526+00:00, O3tot col 3.1394e+02\n", + "all qualities: averaged time 2024-07-18 11:23:50.263526+00:00, O3tot col 3.1394e+02\n", + "188847678_TEMPO_O3TOT_L2_V04_20240718T150237Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.110958 -76.371407 32.013 45.696 310.90 0 0.708\n", + " 10 843 37.091591 -76.375801 32.009 45.675 310.48 0 0.770\n", + " 11 842 37.109623 -76.427895 32.045 45.675 309.94 4096 0.583\n", + " 11 843 37.090263 -76.432266 32.041 45.653 305.53 4096 0.888\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-18 15:04:08.756048+00:00, O3tot col 3.1069e+02\n", + "188847679_TEMPO_O3TOT_L2_V04_20240718T160237Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.113811 -76.368591 21.867 45.693 312.83 0 0.627\n", + " 10 842 37.094452 -76.372978 21.856 45.672 312.41 0 0.567\n", + " 11 841 37.112003 -76.425568 21.891 45.671 310.00 0 0.677\n", + " 11 842 37.092632 -76.429947 21.881 45.650 311.06 0 0.628\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-18 16:04:10.269322+00:00, O3tot col 3.1158e+02\n", + "188847676_TEMPO_O3TOT_L2_V04_20240718T132229Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105312 -76.379333 51.518 45.697 308.54 0 0.605\n", + " 10 843 37.085941 -76.383736 51.521 45.676 309.13 0 0.580\n", + " 11 842 37.103622 -76.435921 51.553 45.676 310.51 0 0.543\n", + " 11 843 37.084267 -76.440292 51.556 45.654 309.15 0 0.641\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-18 13:24:05.273595+00:00, O3tot col 3.0933e+02\n", + "188847677_TEMPO_O3TOT_L2_V04_20240718T140237Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105759 -76.376068 43.562 45.695 301.73 0 0.237\n", + " 10 843 37.086391 -76.380463 43.562 45.674 303.34 0 0.243\n", + " 11 842 37.103867 -76.432915 43.596 45.673 313.16 0 0.045\n", + " 11 843 37.084503 -76.437294 43.597 45.652 311.90 0 0.069\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-18 14:04:10.259092+00:00, O3tot col 3.0753e+02\n", + "all qualities: averaged time 2024-07-18 14:04:10.259092+00:00, O3tot col 3.0753e+02\n", + "188847680_TEMPO_O3TOT_L2_V04_20240718T170237Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116863 -76.355278 16.352 45.694 326.03 4224 0.787\n", + " 10 842 37.097507 -76.359673 16.333 45.672 345.56 4228 0.897\n", + " 11 841 37.114887 -76.412674 16.353 45.671 337.11 4224 0.866\n", + " 11 842 37.095535 -76.417053 16.335 45.650 348.66 4228 0.914\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188847681_TEMPO_O3TOT_L2_V04_20240718T180237Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118801 -76.342361 19.913 45.693 378.34 4228 1.000\n", + " 10 842 37.099464 -76.346748 19.896 45.672 374.04 4228 1.000\n", + " 11 841 37.117645 -76.398445 19.890 45.672 379.12 4228 1.000\n", + " 11 842 37.098289 -76.402832 19.873 45.651 378.70 4228 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188847682_TEMPO_O3TOT_L2_V04_20240718T190237Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108131 -76.345566 29.369 45.675 312.58 4096 0.856\n", + " 10 842 37.088795 -76.349960 29.357 45.654 307.30 4096 0.861\n", + " 11 841 37.106030 -76.403381 29.335 45.652 306.26 4096 0.597\n", + " 11 842 37.086704 -76.407745 29.324 45.631 309.39 4096 0.799\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188847683_TEMPO_O3TOT_L2_V04_20240718T200237Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.119179 -76.339615 40.726 45.683 314.17 0 0.097\n", + " 10 841 37.099846 -76.344002 40.719 45.662 314.57 0 0.083\n", + " 11 840 37.117691 -76.396461 40.691 45.662 316.34 0 0.000\n", + " 11 841 37.098339 -76.400848 40.684 45.640 314.69 0 0.017\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-18 20:04:10.264380+00:00, O3tot col 3.1494e+02\n", + "all qualities: averaged time 2024-07-18 20:04:10.264380+00:00, O3tot col 3.1494e+02\n", + "188847684_TEMPO_O3TOT_L2_V04_20240718T210237Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117489 -76.346062 52.615 45.676 313.13 0 1.000\n", + " 10 842 37.098148 -76.350449 52.612 45.655 314.67 0 1.000\n", + " 11 841 37.116081 -76.403236 52.580 45.655 311.55 0 1.000\n", + " 11 842 37.096733 -76.407616 52.576 45.633 313.76 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-18 21:04:13.298379+00:00, O3tot col 3.1328e+02\n", + "188847685_TEMPO_O3TOT_L2_V04_20240718T220237Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.123245 -76.371613 64.527 45.672 311.93 0 1.000\n", + " 10 841 37.103901 -76.375999 64.526 45.651 311.64 0 1.000\n", + " 11 840 37.121346 -76.428558 64.492 45.650 312.86 0 1.000\n", + " 11 841 37.101997 -76.432922 64.491 45.628 310.56 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-18 22:04:13.299019+00:00, O3tot col 3.1175e+02\n", + "jobID = 0fc5bc31-6498-43e3-a36a-dc4c5ee607c7\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188847704_TEMPO_O3TOT_L2_V04_20240719T112231Z_S002G03_subsetted.nc\n", + "./188847703_TEMPO_O3TOT_L2_V04_20240719T104226Z_S001G03_subsetted.nc\n", + "./188847705_TEMPO_O3TOT_L2_V04_20240719T120236Z_S003G03_subsetted.nc\n", + "./188847706_TEMPO_O3TOT_L2_V04_20240719T124241Z_S004G03_subsetted.nc\n", + "./188847707_TEMPO_O3TOT_L2_V04_20240719T132246Z_S005G03_subsetted.nc\n", + "./188847708_TEMPO_O3TOT_L2_V04_20240719T140254Z_S006G03_subsetted.nc\n", + "./188847709_TEMPO_O3TOT_L2_V04_20240719T150254Z_S007G03_subsetted.nc\n", + "./188847710_TEMPO_O3TOT_L2_V04_20240719T160254Z_S008G03_subsetted.nc\n", + "./188847711_TEMPO_O3TOT_L2_V04_20240719T170254Z_S009G03_subsetted.nc\n", + "./188847712_TEMPO_O3TOT_L2_V04_20240719T180254Z_S010G03_subsetted.nc\n", + "./188847713_TEMPO_O3TOT_L2_V04_20240719T190254Z_S011G03_subsetted.nc\n", + "./188847714_TEMPO_O3TOT_L2_V04_20240719T200254Z_S012G03_subsetted.nc\n", + "./188847715_TEMPO_O3TOT_L2_V04_20240719T210254Z_S013G03_subsetted.nc\n", + "./188847716_TEMPO_O3TOT_L2_V04_20240719T220254Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188847704_TEMPO_O3TOT_L2_V04_20240719T112231Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.122589 -76.355858 75.263 45.734 314.49 0 0.000\n", + " 10 842 37.103214 -76.360252 75.272 45.713 313.86 0 0.000\n", + " 11 841 37.120781 -76.412872 75.298 45.712 315.96 0 0.092\n", + " 11 842 37.101402 -76.417244 75.307 45.691 315.77 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 11:24:07.262302+00:00, O3tot col 3.1502e+02\n", + "all qualities: averaged time 2024-07-19 11:24:07.262302+00:00, O3tot col 3.1502e+02\n", + "188847703_TEMPO_O3TOT_L2_V04_20240719T104226Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114780 -76.380775 82.886 45.718 328.59 0 0.179\n", + " 10 842 37.095390 -76.385170 82.896 45.697 340.52 0 0.128\n", + " 11 841 37.113232 -76.437561 82.919 45.696 333.96 0 0.269\n", + " 11 842 37.093876 -76.441917 82.929 45.675 342.20 0 0.229\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-19 10:44:02.259250+00:00, O3tot col 3.3632e+02\n", + "188847705_TEMPO_O3TOT_L2_V04_20240719T120236Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.117527 -76.332535 67.455 45.735 311.80 0 0.226\n", + " 9 842 37.098171 -76.336929 67.461 45.714 312.61 0 0.188\n", + " 10 841 37.115730 -76.388420 67.489 45.714 314.79 0 0.000\n", + " 10 842 37.096367 -76.392807 67.496 45.692 314.64 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 12:04:09.234434+00:00, O3tot col 3.1346e+02\n", + "all qualities: averaged time 2024-07-19 12:04:09.234434+00:00, O3tot col 3.1346e+02\n", + "188847706_TEMPO_O3TOT_L2_V04_20240719T124241Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121849 -76.343529 59.534 45.733 308.64 0 0.506\n", + " 10 842 37.102486 -76.347939 59.539 45.712 310.20 0 0.540\n", + " 11 841 37.120323 -76.399002 59.569 45.712 308.11 0 0.483\n", + " 11 842 37.100941 -76.403397 59.573 45.690 309.38 0 0.517\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 12:44:15.753960+00:00, O3tot col 3.0811e+02\n", + "all qualities: averaged time 2024-07-19 12:44:14.237425+00:00, O3tot col 3.0908e+02\n", + "188847707_TEMPO_O3TOT_L2_V04_20240719T132246Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.112221 -76.375610 51.567 45.708 306.32 0 0.385\n", + " 10 843 37.092846 -76.380005 51.570 45.687 306.67 0 0.420\n", + " 11 842 37.110649 -76.432922 51.603 45.687 307.42 0 0.319\n", + " 11 843 37.091290 -76.437302 51.606 45.665 307.49 0 0.356\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 13:24:22.276763+00:00, O3tot col 3.0697e+02\n", + "all qualities: averaged time 2024-07-19 13:24:22.276763+00:00, O3tot col 3.0697e+02\n", + "188847708_TEMPO_O3TOT_L2_V04_20240719T140254Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.108486 -76.334511 43.594 45.715 315.65 0 0.008\n", + " 9 843 37.089146 -76.338905 43.595 45.694 315.88 0 0.000\n", + " 10 842 37.106991 -76.391060 43.629 45.693 317.83 0 0.000\n", + " 10 843 37.087612 -76.395462 43.629 45.672 318.67 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 14:04:24.227152+00:00, O3tot col 3.1701e+02\n", + "all qualities: averaged time 2024-07-19 14:04:24.227152+00:00, O3tot col 3.1701e+02\n", + "188847709_TEMPO_O3TOT_L2_V04_20240719T150254Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117020 -76.374779 32.089 45.702 321.34 0 0.000\n", + " 10 842 37.097660 -76.379173 32.085 45.681 319.22 0 0.000\n", + " 11 841 37.114941 -76.432785 32.122 45.680 321.08 0 0.000\n", + " 11 842 37.095612 -76.437149 32.118 45.658 318.91 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 15:04:27.275451+00:00, O3tot col 3.2014e+02\n", + "all qualities: averaged time 2024-07-19 15:04:27.275451+00:00, O3tot col 3.2014e+02\n", + "188847710_TEMPO_O3TOT_L2_V04_20240719T160254Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117382 -76.364487 21.980 45.698 320.20 0 0.000\n", + " 10 842 37.098026 -76.368874 21.969 45.677 319.61 0 0.000\n", + " 11 841 37.115673 -76.421494 22.004 45.676 320.66 0 0.000\n", + " 11 842 37.096287 -76.425888 21.994 45.655 319.53 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 16:04:27.271407+00:00, O3tot col 3.2000e+02\n", + "all qualities: averaged time 2024-07-19 16:04:27.271407+00:00, O3tot col 3.2000e+02\n", + "188847711_TEMPO_O3TOT_L2_V04_20240719T170254Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118507 -76.370255 16.534 45.689 315.46 0 0.004\n", + " 10 842 37.099155 -76.374649 16.515 45.667 314.92 0 0.003\n", + " 11 841 37.116871 -76.426796 16.536 45.667 319.20 0 0.006\n", + " 11 842 37.097511 -76.431175 16.517 45.645 319.34 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 17:04:27.276767+00:00, O3tot col 3.1723e+02\n", + "all qualities: averaged time 2024-07-19 17:04:27.276767+00:00, O3tot col 3.1723e+02\n", + "188847712_TEMPO_O3TOT_L2_V04_20240719T180254Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.120411 -76.352249 20.093 45.689 322.53 0 0.000\n", + " 10 842 37.101059 -76.356644 20.076 45.667 321.70 0 0.000\n", + " 11 841 37.118717 -76.409447 20.070 45.667 321.04 0 0.000\n", + " 11 842 37.099365 -76.413818 20.053 45.645 321.22 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 18:04:27.266206+00:00, O3tot col 3.2162e+02\n", + "all qualities: averaged time 2024-07-19 18:04:27.266206+00:00, O3tot col 3.2162e+02\n", + "188847713_TEMPO_O3TOT_L2_V04_20240719T190254Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108818 -76.352638 29.523 45.669 322.99 0 0.000\n", + " 10 842 37.089474 -76.357025 29.511 45.648 323.32 0 0.000\n", + " 11 841 37.106480 -76.409668 29.490 45.647 322.62 0 0.000\n", + " 11 842 37.087139 -76.414040 29.478 45.625 321.31 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 19:04:27.264943+00:00, O3tot col 3.2256e+02\n", + "all qualities: averaged time 2024-07-19 19:04:27.264943+00:00, O3tot col 3.2256e+02\n", + "188847714_TEMPO_O3TOT_L2_V04_20240719T200254Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111965 -76.339813 40.870 45.671 321.21 0 0.000\n", + " 10 842 37.092648 -76.344193 40.863 45.650 321.51 0 0.000\n", + " 11 841 37.110622 -76.396080 40.835 45.650 321.79 0 0.000\n", + " 11 842 37.091278 -76.400459 40.828 45.628 321.46 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 20:04:27.263111+00:00, O3tot col 3.2149e+02\n", + "all qualities: averaged time 2024-07-19 20:04:27.263111+00:00, O3tot col 3.2149e+02\n", + "188847715_TEMPO_O3TOT_L2_V04_20240719T210254Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119438 -76.356415 52.749 45.669 321.02 0 0.000\n", + " 10 842 37.100094 -76.360802 52.745 45.648 321.20 0 0.000\n", + " 11 841 37.117748 -76.412842 52.714 45.647 321.33 0 0.000\n", + " 11 842 37.098404 -76.417213 52.710 45.626 320.68 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 21:04:30.298391+00:00, O3tot col 3.2106e+02\n", + "all qualities: averaged time 2024-07-19 21:04:30.298391+00:00, O3tot col 3.2106e+02\n", + "188847716_TEMPO_O3TOT_L2_V04_20240719T220254Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111092 -76.372009 64.672 45.654 316.31 0 0.000\n", + " 10 842 37.091736 -76.376404 64.671 45.632 316.32 0 0.000\n", + " 11 841 37.109371 -76.428947 64.637 45.632 316.65 0 0.000\n", + " 11 842 37.090027 -76.433311 64.636 45.610 317.01 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-19 22:04:30.295687+00:00, O3tot col 3.1657e+02\n", + "all qualities: averaged time 2024-07-19 22:04:30.295687+00:00, O3tot col 3.1657e+02\n", + "jobID = e2df7e3d-5734-493c-971c-2a33f59effee\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188847732_TEMPO_O3TOT_L2_V04_20240720T104243Z_S001G03_subsetted.nc\n", + "./188847734_TEMPO_O3TOT_L2_V04_20240720T120253Z_S003G03_subsetted.nc\n", + "./188847733_TEMPO_O3TOT_L2_V04_20240720T112248Z_S002G03_subsetted.nc\n", + "./188847735_TEMPO_O3TOT_L2_V04_20240720T124258Z_S004G03_subsetted.nc\n", + "./188847736_TEMPO_O3TOT_L2_V04_20240720T132303Z_S005G03_subsetted.nc\n", + "./188847737_TEMPO_O3TOT_L2_V04_20240720T140311Z_S006G03_subsetted.nc\n", + "./188847738_TEMPO_O3TOT_L2_V04_20240720T150306Z_S007G03_subsetted.nc\n", + "./188847739_TEMPO_O3TOT_L2_V04_20240720T180311Z_S009G03_subsetted.nc\n", + "./188847741_TEMPO_O3TOT_L2_V04_20240720T200311Z_S011G03_subsetted.nc\n", + "./188847740_TEMPO_O3TOT_L2_V04_20240720T190311Z_S010G03_subsetted.nc\n", + "./188847742_TEMPO_O3TOT_L2_V04_20240720T210311Z_S012G03_subsetted.nc\n", + "./188847743_TEMPO_O3TOT_L2_V04_20240720T220311Z_S013G03_subsetted.nc\n", + "Number of result files: 12\n", + "188847732_TEMPO_O3TOT_L2_V04_20240720T104243Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.123882 -76.348419 82.939 45.744 338.72 0 0.155\n", + " 10 841 37.104507 -76.352821 82.949 45.722 338.01 0 0.155\n", + " 11 840 37.122280 -76.406334 82.973 45.722 338.15 0 0.275\n", + " 11 841 37.102898 -76.410721 82.983 45.700 339.78 0 0.268\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-20 10:44:16.225150+00:00, O3tot col 3.3867e+02\n", + "188847734_TEMPO_O3TOT_L2_V04_20240720T120253Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110905 -76.368759 67.532 45.720 307.18 0 0.697\n", + " 10 842 37.091526 -76.373154 67.538 45.699 308.57 0 0.723\n", + " 11 841 37.109253 -76.426224 67.567 45.698 307.09 0 0.631\n", + " 11 842 37.089874 -76.430611 67.574 45.676 308.60 0 0.730\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-20 12:04:29.263468+00:00, O3tot col 3.0786e+02\n", + "188847733_TEMPO_O3TOT_L2_V04_20240720T112248Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.111706 -76.326920 75.317 45.738 308.35 0 0.976\n", + " 9 842 37.092365 -76.331306 75.325 45.716 309.27 0 0.951\n", + " 10 841 37.109776 -76.386612 75.354 45.715 308.39 0 1.000\n", + " 10 842 37.090401 -76.390999 75.362 45.693 308.29 0 0.990\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-20 11:24:21.227679+00:00, O3tot col 3.0858e+02\n", + "188847735_TEMPO_O3TOT_L2_V04_20240720T124258Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.108204 -76.375710 59.605 45.712 303.75 0 0.577\n", + " 10 843 37.088829 -76.380104 59.610 45.690 305.23 0 0.657\n", + " 11 842 37.106766 -76.433075 59.641 45.690 305.77 0 0.770\n", + " 11 843 37.087387 -76.437462 59.645 45.668 306.32 0 0.748\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-20 12:44:34.266542+00:00, O3tot col 3.0527e+02\n", + "188847736_TEMPO_O3TOT_L2_V04_20240720T132303Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.109634 -76.335312 51.598 45.724 304.46 0 0.779\n", + " 9 843 37.090294 -76.339699 51.601 45.702 303.10 0 0.786\n", + " 10 842 37.108154 -76.391975 51.633 45.702 303.43 0 0.855\n", + " 10 843 37.088776 -76.396370 51.636 45.681 303.11 0 0.827\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-20 13:24:36.236639+00:00, O3tot col 3.0353e+02\n", + "188847737_TEMPO_O3TOT_L2_V04_20240720T140311Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116489 -76.342339 43.659 45.724 307.13 7 0.755\n", + " 10 842 37.097141 -76.346733 43.659 45.702 306.05 7 0.746\n", + " 11 841 37.114410 -76.398834 43.693 45.701 305.19 0 0.765\n", + " 11 842 37.095039 -76.403221 43.693 45.680 306.16 0 0.719\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-20 14:04:42.756248+00:00, O3tot col 3.0568e+02\n", + "188847738_TEMPO_O3TOT_L2_V04_20240720T150306Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.117584 -76.332321 32.138 45.720 306.38 0 0.276\n", + " 9 842 37.098244 -76.336708 32.134 45.699 308.21 0 0.205\n", + " 10 841 37.115871 -76.389130 32.170 45.698 305.31 0 0.311\n", + " 10 842 37.096523 -76.393517 32.166 45.677 305.13 0 0.261\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-20 15:04:42.236138+00:00, O3tot col 3.0626e+02\n", + "all qualities: averaged time 2024-07-20 15:04:42.236138+00:00, O3tot col 3.0626e+02\n", + "188847739_TEMPO_O3TOT_L2_V04_20240720T180311Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117508 -76.345009 20.285 45.694 313.63 0 0.333\n", + " 10 842 37.098167 -76.349396 20.268 45.673 312.66 0 0.204\n", + " 11 841 37.116230 -76.401947 20.262 45.673 314.18 0 0.304\n", + " 11 842 37.096874 -76.406326 20.245 45.651 314.55 0 0.160\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-20 18:04:44.262216+00:00, O3tot col 3.1376e+02\n", + "all qualities: averaged time 2024-07-20 18:04:44.262216+00:00, O3tot col 3.1376e+02\n", + "188847741_TEMPO_O3TOT_L2_V04_20240720T200311Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.123459 -76.336601 41.026 45.696 328.63 4224 1.000\n", + " 9 841 37.104107 -76.341003 41.018 45.675 328.65 4224 1.000\n", + " 10 840 37.122196 -76.394165 40.990 45.674 308.19 0 0.879\n", + " 10 841 37.102840 -76.398544 40.983 45.653 310.18 0 0.782\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-20 20:04:45.775129+00:00, O3tot col 3.0918e+02\n", + "188847740_TEMPO_O3TOT_L2_V04_20240720T190311Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.107857 -76.344933 29.692 45.680 311.84 0 0.437\n", + " 10 842 37.088520 -76.349327 29.681 45.659 312.47 0 0.308\n", + " 11 841 37.106037 -76.401505 29.660 45.658 309.18 0 0.294\n", + " 11 842 37.086712 -76.405876 29.648 45.637 304.73 0 0.364\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-20 19:04:44.259990+00:00, O3tot col 3.0956e+02\n", + "all qualities: averaged time 2024-07-20 19:04:44.259990+00:00, O3tot col 3.0956e+02\n", + "188847742_TEMPO_O3TOT_L2_V04_20240720T210311Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.120960 -76.368591 52.886 45.680 309.42 128 0.502\n", + " 10 842 37.101612 -76.372978 52.882 45.658 307.36 0 0.350\n", + " 11 841 37.119186 -76.425613 52.850 45.658 318.11 0 0.076\n", + " 11 842 37.099819 -76.429993 52.846 45.636 315.06 128 0.213\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-20 21:04:47.293725+00:00, O3tot col 3.1274e+02\n", + "all qualities: averaged time 2024-07-20 21:04:47.293725+00:00, O3tot col 3.1274e+02\n", + "188847743_TEMPO_O3TOT_L2_V04_20240720T220311Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.105526 -76.369659 64.823 45.662 306.40 0 1.000\n", + " 10 842 37.086166 -76.374054 64.822 45.641 306.07 0 1.000\n", + " 11 841 37.104073 -76.427643 64.787 45.640 310.16 0 0.959\n", + " 11 842 37.084721 -76.432007 64.786 45.619 309.15 0 0.946\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-20 22:04:47.290902+00:00, O3tot col 3.0795e+02\n", + "jobID = 627dd7ff-b116-416e-8afb-ccbedd164b8c\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188847758_TEMPO_O3TOT_L2_V04_20240721T104300Z_S001G03_subsetted.nc\n", + "./188847759_TEMPO_O3TOT_L2_V04_20240721T112305Z_S002G03_subsetted.nc\n", + "./188847760_TEMPO_O3TOT_L2_V04_20240721T120310Z_S003G03_subsetted.nc\n", + "./188847761_TEMPO_O3TOT_L2_V04_20240721T124315Z_S004G03_subsetted.nc\n", + "./188847762_TEMPO_O3TOT_L2_V04_20240721T132320Z_S005G03_subsetted.nc\n", + "./188847764_TEMPO_O3TOT_L2_V04_20240721T150328Z_S007G03_subsetted.nc\n", + "./188847763_TEMPO_O3TOT_L2_V04_20240721T140328Z_S006G03_subsetted.nc\n", + "./188847766_TEMPO_O3TOT_L2_V04_20240721T180328Z_S010G03_subsetted.nc\n", + "./188847767_TEMPO_O3TOT_L2_V04_20240721T190328Z_S011G03_subsetted.nc\n", + "./188847765_TEMPO_O3TOT_L2_V04_20240721T160328Z_S008G03_subsetted.nc\n", + "./188847768_TEMPO_O3TOT_L2_V04_20240721T200328Z_S012G03_subsetted.nc\n", + "./188847770_TEMPO_O3TOT_L2_V04_20240721T220328Z_S014G03_subsetted.nc\n", + "./188847769_TEMPO_O3TOT_L2_V04_20240721T210328Z_S013G03_subsetted.nc\n", + "Number of result files: 13\n", + "188847758_TEMPO_O3TOT_L2_V04_20240721T104300Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105824 -76.352264 83.021 45.710 341.25 0 0.000\n", + " 10 843 37.086475 -76.356659 83.030 45.689 334.18 0 0.000\n", + " 11 842 37.104145 -76.410141 83.055 45.688 333.40 0 0.000\n", + " 11 843 37.084782 -76.414528 83.065 45.666 323.01 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-21 10:44:33.235299+00:00, O3tot col 3.3296e+02\n", + "188847759_TEMPO_O3TOT_L2_V04_20240721T112305Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.122871 -76.329269 75.380 45.735 311.96 0 0.327\n", + " 9 842 37.103497 -76.333664 75.388 45.714 311.34 0 0.276\n", + " 10 841 37.120834 -76.386299 75.415 45.713 312.26 0 0.415\n", + " 10 842 37.101448 -76.390694 75.423 45.692 311.99 0 0.341\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 11:24:38.238305+00:00, O3tot col 3.1189e+02\n", + "all qualities: averaged time 2024-07-21 11:24:38.238305+00:00, O3tot col 3.1189e+02\n", + "188847760_TEMPO_O3TOT_L2_V04_20240721T120310Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122849 -76.345734 67.580 45.729 311.95 0 0.533\n", + " 10 841 37.103481 -76.350136 67.587 45.707 310.08 0 0.532\n", + " 11 840 37.120911 -76.402763 67.616 45.706 313.01 0 0.542\n", + " 11 841 37.101536 -76.407150 67.622 45.685 311.43 0 0.508\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-21 12:04:43.225192+00:00, O3tot col 3.1162e+02\n", + "188847761_TEMPO_O3TOT_L2_V04_20240721T124315Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117130 -76.361404 59.658 45.716 308.36 0 0.316\n", + " 10 842 37.097763 -76.365807 59.663 45.694 307.24 0 0.313\n", + " 11 841 37.115593 -76.416069 59.692 45.695 308.81 0 0.300\n", + " 11 842 37.096214 -76.420464 59.696 45.673 304.95 0 0.133\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 12:44:48.228267+00:00, O3tot col 3.0734e+02\n", + "all qualities: averaged time 2024-07-21 12:44:48.228267+00:00, O3tot col 3.0734e+02\n", + "188847762_TEMPO_O3TOT_L2_V04_20240721T132320Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.121498 -76.329453 51.649 45.730 311.46 0 0.595\n", + " 9 842 37.102146 -76.333855 51.652 45.708 310.74 0 0.574\n", + " 10 841 37.119537 -76.386276 51.684 45.708 310.17 0 0.625\n", + " 10 842 37.100166 -76.390671 51.687 45.686 310.15 0 0.554\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-21 13:24:53.230534+00:00, O3tot col 3.1063e+02\n", + "188847764_TEMPO_O3TOT_L2_V04_20240721T150328Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108315 -76.361023 32.238 45.698 313.74 0 0.000\n", + " 10 842 37.088955 -76.365417 32.234 45.677 310.17 0 0.001\n", + " 11 841 37.105919 -76.418472 32.267 45.676 314.28 0 0.000\n", + " 11 842 37.086536 -76.422867 32.263 45.654 311.20 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 15:04:58.213815+00:00, O3tot col 3.1235e+02\n", + "all qualities: averaged time 2024-07-21 15:04:58.213815+00:00, O3tot col 3.1235e+02\n", + "188847763_TEMPO_O3TOT_L2_V04_20240721T140328Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115551 -76.351097 43.724 45.714 311.77 0 0.000\n", + " 10 842 37.096180 -76.355507 43.724 45.692 311.96 0 0.000\n", + " 11 841 37.113506 -76.408859 43.759 45.691 309.40 0 0.053\n", + " 11 842 37.094147 -76.413246 43.760 45.670 310.38 0 0.018\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 14:04:58.233538+00:00, O3tot col 3.1088e+02\n", + "all qualities: averaged time 2024-07-21 14:04:58.233538+00:00, O3tot col 3.1088e+02\n", + "188847766_TEMPO_O3TOT_L2_V04_20240721T180328Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108829 -76.366425 20.464 45.678 314.48 0 0.058\n", + " 10 842 37.089478 -76.370811 20.447 45.657 314.53 0 0.085\n", + " 11 841 37.107777 -76.424713 20.441 45.657 312.82 0 0.277\n", + " 11 842 37.088425 -76.429092 20.423 45.635 312.41 0 0.249\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 18:05:01.277474+00:00, O3tot col 3.1356e+02\n", + "all qualities: averaged time 2024-07-21 18:05:01.277474+00:00, O3tot col 3.1356e+02\n", + "188847767_TEMPO_O3TOT_L2_V04_20240721T190328Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108067 -76.369949 29.845 45.671 314.59 0 0.000\n", + " 10 842 37.088715 -76.374344 29.833 45.650 313.52 0 0.008\n", + " 11 841 37.106022 -76.427277 29.812 45.649 318.38 128 0.077\n", + " 11 842 37.086674 -76.431648 29.800 45.627 312.83 0 0.131\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 19:05:00.767129+00:00, O3tot col 3.1365e+02\n", + "all qualities: averaged time 2024-07-21 19:05:00.767129+00:00, O3tot col 3.1365e+02\n", + "188847765_TEMPO_O3TOT_L2_V04_20240721T160328Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.106411 -76.329361 22.198 45.702 309.18 0 0.073\n", + " 9 842 37.087074 -76.333755 22.187 45.681 310.84 0 0.038\n", + " 10 841 37.104641 -76.386703 22.222 45.680 312.08 0 0.053\n", + " 10 842 37.085285 -76.391098 22.211 45.659 310.12 0 0.052\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 16:04:58.231730+00:00, O3tot col 3.1056e+02\n", + "all qualities: averaged time 2024-07-21 16:04:58.231730+00:00, O3tot col 3.1056e+02\n", + "188847768_TEMPO_O3TOT_L2_V04_20240721T200328Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.104538 -76.380013 41.144 45.659 316.53 0 0.000\n", + " 10 842 37.085190 -76.384399 41.137 45.638 315.62 128 0.000\n", + " 11 841 37.102886 -76.436783 41.109 45.638 315.89 128 0.023\n", + " 11 842 37.083546 -76.441147 41.102 45.616 314.02 0 0.102\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 20:05:01.255087+00:00, O3tot col 3.1527e+02\n", + "all qualities: averaged time 2024-07-21 20:05:01.255087+00:00, O3tot col 3.1527e+02\n", + "188847770_TEMPO_O3TOT_L2_V04_20240721T220328Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.118271 -76.336784 64.992 45.683 313.42 0 0.000\n", + " 9 842 37.098934 -76.341171 64.990 45.662 313.04 0 0.000\n", + " 10 841 37.116264 -76.394760 64.956 45.661 313.12 0 0.000\n", + " 10 842 37.096916 -76.399139 64.955 45.639 314.14 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 22:05:01.269959+00:00, O3tot col 3.1343e+02\n", + "all qualities: averaged time 2024-07-21 22:05:01.269959+00:00, O3tot col 3.1343e+02\n", + "188847769_TEMPO_O3TOT_L2_V04_20240721T210328Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.115570 -76.331169 53.058 45.685 314.97 0 0.000\n", + " 9 842 37.096249 -76.335556 53.054 45.663 314.71 0 0.000\n", + " 10 841 37.114357 -76.388931 53.022 45.663 314.93 0 0.000\n", + " 10 842 37.095016 -76.393311 53.018 45.641 314.55 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-21 21:05:01.271820+00:00, O3tot col 3.1479e+02\n", + "all qualities: averaged time 2024-07-21 21:05:01.271820+00:00, O3tot col 3.1479e+02\n", + "jobID = 8b8df0a2-9e28-4f5c-98fe-aa358c1759cc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188847907_TEMPO_O3TOT_L2_V04_20240722T112323Z_S002G03_subsetted.nc\n", + "./188847906_TEMPO_O3TOT_L2_V04_20240722T104318Z_S001G03_subsetted.nc\n", + "./188847908_TEMPO_O3TOT_L2_V04_20240722T120328Z_S003G03_subsetted.nc\n", + "./188847910_TEMPO_O3TOT_L2_V04_20240722T132338Z_S005G03_subsetted.nc\n", + "./188847909_TEMPO_O3TOT_L2_V04_20240722T124333Z_S004G03_subsetted.nc\n", + "./188847911_TEMPO_O3TOT_L2_V04_20240722T140346Z_S006G03_subsetted.nc\n", + "./188847912_TEMPO_O3TOT_L2_V04_20240722T150346Z_S007G03_subsetted.nc\n", + "./188847913_TEMPO_O3TOT_L2_V04_20240722T160346Z_S008G03_subsetted.nc\n", + "./188847914_TEMPO_O3TOT_L2_V04_20240722T170346Z_S009G03_subsetted.nc\n", + "./188847916_TEMPO_O3TOT_L2_V04_20240722T190346Z_S011G03_subsetted.nc\n", + "./188847915_TEMPO_O3TOT_L2_V04_20240722T180346Z_S010G03_subsetted.nc\n", + "./188847918_TEMPO_O3TOT_L2_V04_20240722T210346Z_S013G03_subsetted.nc\n", + "./188847919_TEMPO_O3TOT_L2_V04_20240722T220346Z_S014G03_subsetted.nc\n", + "./188847917_TEMPO_O3TOT_L2_V04_20240722T200346Z_S012G03_subsetted.nc\n", + "Number of result files: 14\n", + "188847907_TEMPO_O3TOT_L2_V04_20240722T112323Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.107994 -76.357971 75.469 45.715 306.14 0 1.000\n", + " 10 842 37.088623 -76.362358 75.477 45.694 305.72 0 1.000\n", + " 11 841 37.105946 -76.417831 75.506 45.692 308.38 0 1.000\n", + " 11 842 37.086544 -76.422218 75.514 45.671 307.63 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-22 11:24:56.234932+00:00, O3tot col 3.0697e+02\n", + "188847906_TEMPO_O3TOT_L2_V04_20240722T104318Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.103672 -76.386154 83.130 45.701 336.94 0 0.968\n", + " 10 843 37.084309 -76.390549 83.140 45.680 333.89 0 0.866\n", + " 11 842 37.101990 -76.441353 83.160 45.680 334.97 0 1.000\n", + " 11 843 37.082657 -76.445709 83.169 45.658 328.57 0 0.996\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-22 10:44:48.197762+00:00, O3tot col 3.3359e+02\n", + "188847908_TEMPO_O3TOT_L2_V04_20240722T120328Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.118938 -76.337181 67.644 45.733 303.76 0 0.930\n", + " 9 841 37.099579 -76.341576 67.650 45.712 301.75 0 0.959\n", + " 10 840 37.117390 -76.393570 67.676 45.712 303.99 0 1.000\n", + " 10 841 37.098022 -76.397957 67.682 45.690 301.54 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-22 12:04:58.205346+00:00, O3tot col 3.0276e+02\n", + "188847910_TEMPO_O3TOT_L2_V04_20240722T132338Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105751 -76.358116 51.724 45.709 300.21 0 0.541\n", + " 10 843 37.086391 -76.362511 51.727 45.687 297.47 0 0.586\n", + " 11 842 37.104462 -76.415451 51.760 45.687 301.17 0 0.614\n", + " 11 843 37.085072 -76.419853 51.763 45.666 297.99 0 0.610\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-22 13:25:11.225600+00:00, O3tot col 2.9921e+02\n", + "188847909_TEMPO_O3TOT_L2_V04_20240722T124333Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.106693 -76.331062 59.688 45.721 303.06 0 1.000\n", + " 9 843 37.087341 -76.335457 59.692 45.700 301.24 0 1.000\n", + " 10 842 37.104832 -76.387856 59.723 45.699 302.10 0 1.000\n", + " 10 843 37.085464 -76.392250 59.728 45.678 300.91 0 0.965\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-22 12:45:06.241541+00:00, O3tot col 3.0183e+02\n", + "188847911_TEMPO_O3TOT_L2_V04_20240722T140346Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114426 -76.380737 43.804 45.707 296.78 0 0.472\n", + " 10 842 37.095055 -76.385139 43.805 45.686 295.45 0 0.461\n", + " 11 841 37.113098 -76.437675 43.839 45.686 298.87 0 0.454\n", + " 11 842 37.093765 -76.442039 43.839 45.664 299.70 0 0.402\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-22 14:05:16.228788+00:00, O3tot col 2.9770e+02\n", + "all qualities: averaged time 2024-07-22 14:05:16.228788+00:00, O3tot col 2.9770e+02\n", + "188847912_TEMPO_O3TOT_L2_V04_20240722T150346Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.120735 -76.368904 32.322 45.713 299.17 0 0.566\n", + " 10 841 37.101379 -76.373306 32.317 45.692 299.27 0 0.487\n", + " 11 840 37.119202 -76.426109 32.354 45.691 301.04 0 0.630\n", + " 11 841 37.099823 -76.430496 32.350 45.670 298.50 0 0.604\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-22 15:05:14.708268+00:00, O3tot col 2.9927e+02\n", + "all qualities: averaged time 2024-07-22 15:05:16.224803+00:00, O3tot col 2.9949e+02\n", + "188847913_TEMPO_O3TOT_L2_V04_20240722T160346Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111362 -76.366562 22.345 45.698 299.77 0 0.408\n", + " 10 842 37.092003 -76.370956 22.334 45.677 301.12 0 0.453\n", + " 11 841 37.109562 -76.423500 22.369 45.676 302.03 0 0.405\n", + " 11 842 37.090195 -76.427879 22.358 45.655 302.03 0 0.385\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-22 16:05:16.240701+00:00, O3tot col 3.0124e+02\n", + "all qualities: averaged time 2024-07-22 16:05:16.240701+00:00, O3tot col 3.0124e+02\n", + "188847914_TEMPO_O3TOT_L2_V04_20240722T170346Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114021 -76.339325 17.100 45.704 307.07 0 0.452\n", + " 10 842 37.094692 -76.343719 17.081 45.682 306.64 0 0.476\n", + " 11 841 37.112476 -76.396721 17.101 45.682 304.46 0 0.373\n", + " 11 842 37.093124 -76.401108 17.082 45.660 306.22 0 0.417\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-22 17:05:16.235482+00:00, O3tot col 3.0610e+02\n", + "all qualities: averaged time 2024-07-22 17:05:16.235482+00:00, O3tot col 3.0610e+02\n", + "188847916_TEMPO_O3TOT_L2_V04_20240722T190346Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119015 -76.339775 30.042 45.695 308.36 0 0.127\n", + " 10 842 37.099678 -76.344170 30.030 45.673 307.44 0 0.114\n", + " 11 841 37.117683 -76.396927 30.009 45.673 309.07 0 0.059\n", + " 11 842 37.098331 -76.401314 29.997 45.652 310.06 0 0.066\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-22 19:05:16.235166+00:00, O3tot col 3.0873e+02\n", + "all qualities: averaged time 2024-07-22 19:05:16.235166+00:00, O3tot col 3.0873e+02\n", + "188847915_TEMPO_O3TOT_L2_V04_20240722T180346Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116905 -76.383774 20.667 45.684 310.89 0 0.010\n", + " 10 842 37.097549 -76.388161 20.649 45.662 311.47 0 0.003\n", + " 11 841 37.115452 -76.441795 20.643 45.662 311.81 0 0.017\n", + " 11 842 37.096130 -76.446144 20.626 45.640 311.05 0 0.014\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-22 18:05:19.266526+00:00, O3tot col 3.1130e+02\n", + "all qualities: averaged time 2024-07-22 18:05:19.266526+00:00, O3tot col 3.1130e+02\n", + "188847918_TEMPO_O3TOT_L2_V04_20240722T210346Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117287 -76.379318 53.190 45.668 305.47 0 0.210\n", + " 10 842 37.097931 -76.383705 53.186 45.647 307.03 0 0.256\n", + " 11 841 37.115452 -76.436760 53.154 45.646 306.30 0 0.023\n", + " 11 842 37.096134 -76.441109 53.150 45.624 307.26 0 0.061\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-22 21:05:22.300035+00:00, O3tot col 3.0651e+02\n", + "all qualities: averaged time 2024-07-22 21:05:22.300035+00:00, O3tot col 3.0651e+02\n", + "188847919_TEMPO_O3TOT_L2_V04_20240722T220346Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.110485 -76.337120 65.155 45.673 307.96 0 1.000\n", + " 9 842 37.091164 -76.341507 65.154 45.652 309.23 0 1.000\n", + " 10 841 37.108902 -76.394585 65.119 45.651 307.11 0 1.000\n", + " 10 842 37.089550 -76.398972 65.118 45.630 310.00 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-22 22:05:19.264561+00:00, O3tot col 3.0857e+02\n", + "188847917_TEMPO_O3TOT_L2_V04_20240722T200346Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.116772 -76.351196 41.334 45.682 311.46 0 0.008\n", + " 10 841 37.097420 -76.355598 41.327 45.661 311.85 0 0.000\n", + " 11 840 37.115437 -76.408272 41.299 45.661 310.26 0 0.000\n", + " 11 841 37.096088 -76.412651 41.292 45.639 311.57 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-22 20:05:19.265411+00:00, O3tot col 3.1128e+02\n", + "all qualities: averaged time 2024-07-22 20:05:19.265411+00:00, O3tot col 3.1128e+02\n", + "jobID = fd0d0115-531b-4c2f-a047-48cffbab4aad\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848013_TEMPO_O3TOT_L2_V04_20240723T104334Z_S001G03_subsetted.nc\n", + "./188848014_TEMPO_O3TOT_L2_V04_20240723T112339Z_S002G03_subsetted.nc\n", + "./188848015_TEMPO_O3TOT_L2_V04_20240723T120344Z_S003G03_subsetted.nc\n", + "./188848016_TEMPO_O3TOT_L2_V04_20240723T124349Z_S004G03_subsetted.nc\n", + "./188848017_TEMPO_O3TOT_L2_V04_20240723T132354Z_S005G03_subsetted.nc\n", + "./188848018_TEMPO_O3TOT_L2_V04_20240723T140402Z_S006G03_subsetted.nc\n", + "./188848019_TEMPO_O3TOT_L2_V04_20240723T150402Z_S007G03_subsetted.nc\n", + "./188848020_TEMPO_O3TOT_L2_V04_20240723T160402Z_S008G03_subsetted.nc\n", + "./188848022_TEMPO_O3TOT_L2_V04_20240723T180402Z_S010G03_subsetted.nc\n", + "./188848023_TEMPO_O3TOT_L2_V04_20240723T190402Z_S011G03_subsetted.nc\n", + "./188848021_TEMPO_O3TOT_L2_V04_20240723T170402Z_S009G03_subsetted.nc\n", + "./188848024_TEMPO_O3TOT_L2_V04_20240723T200402Z_S012G03_subsetted.nc\n", + "./188848025_TEMPO_O3TOT_L2_V04_20240723T210402Z_S013G03_subsetted.nc\n", + "./188848026_TEMPO_O3TOT_L2_V04_20240723T220402Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188848013_TEMPO_O3TOT_L2_V04_20240723T104334Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119083 -76.354607 83.168 45.732 346.15 0 0.274\n", + " 10 842 37.099709 -76.359001 83.177 45.711 331.66 0 0.351\n", + " 11 841 37.117615 -76.411789 83.202 45.710 348.27 0 0.363\n", + " 11 842 37.098248 -76.416176 83.211 45.689 332.92 0 0.327\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-23 10:45:07.238464+00:00, O3tot col 3.3975e+02\n", + "188848014_TEMPO_O3TOT_L2_V04_20240723T112339Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111938 -76.342621 75.526 45.729 315.36 0 0.187\n", + " 10 842 37.092583 -76.347015 75.535 45.708 316.29 0 0.243\n", + " 11 841 37.109726 -76.401695 75.563 45.706 315.28 0 0.336\n", + " 11 842 37.090363 -76.406075 75.571 45.684 315.07 0 0.372\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 11:25:12.225702+00:00, O3tot col 3.1550e+02\n", + "all qualities: averaged time 2024-07-23 11:25:12.225702+00:00, O3tot col 3.1550e+02\n", + "188848015_TEMPO_O3TOT_L2_V04_20240723T120344Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111435 -76.351692 67.708 45.724 314.78 0 0.366\n", + " 10 842 37.092064 -76.356087 67.714 45.703 315.44 0 0.386\n", + " 11 841 37.109764 -76.409271 67.744 45.702 314.46 0 0.427\n", + " 11 842 37.090401 -76.413658 67.750 45.681 315.43 0 0.435\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 12:05:17.227471+00:00, O3tot col 3.1503e+02\n", + "all qualities: averaged time 2024-07-23 12:05:17.227471+00:00, O3tot col 3.1503e+02\n", + "188848016_TEMPO_O3TOT_L2_V04_20240723T124349Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.106277 -76.337036 59.754 45.723 311.62 0 0.079\n", + " 9 843 37.086926 -76.341438 59.758 45.701 313.10 0 0.030\n", + " 10 842 37.105011 -76.394005 59.789 45.701 314.33 0 0.069\n", + " 10 843 37.085636 -76.398399 59.794 45.680 314.10 0 0.071\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 12:45:22.230597+00:00, O3tot col 3.1329e+02\n", + "all qualities: averaged time 2024-07-23 12:45:22.230597+00:00, O3tot col 3.1329e+02\n", + "188848017_TEMPO_O3TOT_L2_V04_20240723T132354Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.120522 -76.332634 51.766 45.737 308.16 0 0.192\n", + " 9 842 37.101166 -76.337036 51.769 45.715 304.08 0 0.174\n", + " 10 841 37.119110 -76.389816 51.802 45.715 310.81 0 0.120\n", + " 10 842 37.099743 -76.394211 51.804 45.694 313.35 0 0.041\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 13:25:27.233486+00:00, O3tot col 3.0910e+02\n", + "all qualities: averaged time 2024-07-23 13:25:27.233486+00:00, O3tot col 3.0910e+02\n", + "188848018_TEMPO_O3TOT_L2_V04_20240723T140402Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119473 -76.352127 43.848 45.726 318.53 0 0.000\n", + " 10 842 37.100105 -76.356529 43.848 45.704 315.88 0 0.000\n", + " 11 841 37.118053 -76.408463 43.882 45.704 317.16 0 0.000\n", + " 11 842 37.098686 -76.412849 43.883 45.683 317.21 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 14:05:32.236604+00:00, O3tot col 3.1720e+02\n", + "all qualities: averaged time 2024-07-23 14:05:32.236604+00:00, O3tot col 3.1720e+02\n", + "188848019_TEMPO_O3TOT_L2_V04_20240723T150402Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116634 -76.369545 32.405 45.711 318.56 0 0.000\n", + " 10 842 37.097271 -76.373940 32.401 45.690 316.27 0 0.000\n", + " 11 841 37.114899 -76.426964 32.438 45.689 317.29 0 0.000\n", + " 11 842 37.095528 -76.431351 32.433 45.668 317.70 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 15:05:32.232666+00:00, O3tot col 3.1746e+02\n", + "all qualities: averaged time 2024-07-23 15:05:32.232666+00:00, O3tot col 3.1746e+02\n", + "188848020_TEMPO_O3TOT_L2_V04_20240723T160402Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.119987 -76.345192 22.474 45.716 312.70 0 0.202\n", + " 10 841 37.100632 -76.349594 22.462 45.695 313.76 0 0.045\n", + " 11 840 37.118290 -76.402840 22.496 45.694 313.98 0 0.034\n", + " 11 841 37.098927 -76.407227 22.484 45.673 315.59 0 0.032\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 16:05:32.213625+00:00, O3tot col 3.1401e+02\n", + "all qualities: averaged time 2024-07-23 16:05:32.213625+00:00, O3tot col 3.1401e+02\n", + "188848022_TEMPO_O3TOT_L2_V04_20240723T180402Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121841 -76.356712 20.891 45.698 313.74 0 0.002\n", + " 10 842 37.102493 -76.361107 20.873 45.677 312.16 0 0.016\n", + " 11 841 37.119778 -76.413803 20.867 45.676 315.06 0 0.000\n", + " 11 842 37.100418 -76.418175 20.850 45.654 314.17 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 18:05:35.262977+00:00, O3tot col 3.1378e+02\n", + "all qualities: averaged time 2024-07-23 18:05:35.262977+00:00, O3tot col 3.1378e+02\n", + "188848023_TEMPO_O3TOT_L2_V04_20240723T190402Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.112667 -76.374123 30.202 45.675 321.52 4227 1.000\n", + " 10 841 37.093311 -76.378517 30.191 45.653 311.14 4224 0.917\n", + " 11 840 37.111176 -76.431580 30.170 45.653 355.20 4228 1.000\n", + " 11 841 37.091835 -76.435951 30.158 45.631 352.50 4228 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188848021_TEMPO_O3TOT_L2_V04_20240723T170402Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.112988 -76.330864 17.300 45.706 312.84 0 0.071\n", + " 9 842 37.093666 -76.335251 17.281 45.685 308.79 0 0.118\n", + " 10 841 37.111080 -76.388306 17.302 45.684 315.51 0 0.084\n", + " 10 842 37.091728 -76.392693 17.283 45.663 314.10 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-23 17:05:32.228516+00:00, O3tot col 3.1281e+02\n", + "all qualities: averaged time 2024-07-23 17:05:32.228516+00:00, O3tot col 3.1281e+02\n", + "188848024_TEMPO_O3TOT_L2_V04_20240723T200402Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.113602 -76.354248 41.495 45.675 310.09 0 0.670\n", + " 10 842 37.094250 -76.358635 41.487 45.654 312.59 0 0.566\n", + " 11 841 37.111885 -76.411118 41.460 45.654 311.76 0 0.991\n", + " 11 842 37.092541 -76.415489 41.452 45.632 313.16 0 0.919\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-23 20:05:35.256868+00:00, O3tot col 3.1190e+02\n", + "188848025_TEMPO_O3TOT_L2_V04_20240723T210402Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108753 -76.350182 53.362 45.666 314.64 0 1.000\n", + " 10 842 37.089409 -76.354568 53.358 45.645 313.01 0 1.000\n", + " 11 841 37.106972 -76.407784 53.326 45.644 312.71 0 1.000\n", + " 11 842 37.087635 -76.412155 53.322 45.623 313.79 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-23 21:05:35.278007+00:00, O3tot col 3.1354e+02\n", + "188848026_TEMPO_O3TOT_L2_V04_20240723T220402Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.111580 -76.333672 65.318 45.671 317.42 0 1.000\n", + " 9 842 37.092262 -76.338051 65.317 45.650 317.39 0 1.000\n", + " 10 841 37.110390 -76.391647 65.282 45.649 313.61 0 1.000\n", + " 10 842 37.091045 -76.396027 65.281 45.628 312.68 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-23 22:05:35.256313+00:00, O3tot col 3.1527e+02\n", + "jobID = 607b0e82-bd49-4170-89e2-ba78327914c5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848067_TEMPO_O3TOT_L2_V04_20240725T120417Z_S003G03_subsetted.nc\n", + "./188848066_TEMPO_O3TOT_L2_V04_20240725T112412Z_S002G03_subsetted.nc\n", + "./188848065_TEMPO_O3TOT_L2_V04_20240725T104407Z_S001G03_subsetted.nc\n", + "./188848068_TEMPO_O3TOT_L2_V04_20240725T124422Z_S004G03_subsetted.nc\n", + "./188848069_TEMPO_O3TOT_L2_V04_20240725T132427Z_S005G03_subsetted.nc\n", + "./188848070_TEMPO_O3TOT_L2_V04_20240725T140435Z_S006G03_subsetted.nc\n", + "./188848072_TEMPO_O3TOT_L2_V04_20240725T160435Z_S008G03_subsetted.nc\n", + "./188848071_TEMPO_O3TOT_L2_V04_20240725T150435Z_S007G03_subsetted.nc\n", + "./188848073_TEMPO_O3TOT_L2_V04_20240725T170435Z_S009G03_subsetted.nc\n", + "./188848074_TEMPO_O3TOT_L2_V04_20240725T180435Z_S010G03_subsetted.nc\n", + "./188848076_TEMPO_O3TOT_L2_V04_20240725T200435Z_S012G03_subsetted.nc\n", + "./188848075_TEMPO_O3TOT_L2_V04_20240725T190435Z_S011G03_subsetted.nc\n", + "./188848077_TEMPO_O3TOT_L2_V04_20240725T210435Z_S013G03_subsetted.nc\n", + "./188848078_TEMPO_O3TOT_L2_V04_20240725T220435Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188848067_TEMPO_O3TOT_L2_V04_20240725T120417Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.115273 -76.363083 67.846 45.727 305.03 0 1.000\n", + " 10 841 37.095898 -76.367477 67.852 45.705 303.78 0 0.974\n", + " 11 840 37.113644 -76.421135 67.882 45.705 306.67 0 0.987\n", + " 11 841 37.094242 -76.425522 67.889 45.683 301.65 0 0.948\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 12:05:50.230331+00:00, O3tot col 3.0428e+02\n", + "188848066_TEMPO_O3TOT_L2_V04_20240725T112412Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.112473 -76.340393 75.679 45.733 305.08 0 0.894\n", + " 9 841 37.093121 -76.344788 75.687 45.711 305.04 0 0.851\n", + " 10 840 37.111088 -76.396645 75.713 45.711 307.03 0 1.000\n", + " 10 841 37.091709 -76.401024 75.721 45.690 307.53 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 11:25:42.177746+00:00, O3tot col 3.0617e+02\n", + "188848065_TEMPO_O3TOT_L2_V04_20240725T104407Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112251 -76.342049 83.319 45.731 333.81 0 0.326\n", + " 10 842 37.092903 -76.346436 83.329 45.710 341.07 0 0.252\n", + " 11 841 37.110725 -76.399300 83.353 45.710 340.09 0 0.550\n", + " 11 842 37.091362 -76.403671 83.363 45.688 328.01 0 0.477\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 10:45:40.226063+00:00, O3tot col 3.3575e+02\n", + "188848068_TEMPO_O3TOT_L2_V04_20240725T124422Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.116478 -76.327660 59.869 45.739 299.23 0 0.857\n", + " 9 843 37.097134 -76.332054 59.873 45.718 300.74 0 0.886\n", + " 10 842 37.114864 -76.385216 59.905 45.717 298.75 0 0.839\n", + " 10 843 37.095493 -76.389610 59.909 45.696 300.70 0 0.904\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 12:45:55.232377+00:00, O3tot col 2.9985e+02\n", + "188848069_TEMPO_O3TOT_L2_V04_20240725T132427Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118084 -76.348206 51.902 45.731 297.10 0 1.000\n", + " 10 842 37.098713 -76.352608 51.904 45.710 297.27 0 1.000\n", + " 11 841 37.116852 -76.405327 51.937 45.710 296.92 0 1.000\n", + " 11 842 37.097481 -76.409706 51.940 45.688 295.89 0 0.995\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 13:26:00.235272+00:00, O3tot col 2.9680e+02\n", + "188848070_TEMPO_O3TOT_L2_V04_20240725T140435Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.107792 -76.370964 43.994 45.710 293.76 0 1.000\n", + " 10 842 37.088417 -76.375366 43.994 45.688 292.39 0 1.000\n", + " 11 841 37.105457 -76.428978 44.029 45.687 294.18 0 1.000\n", + " 11 842 37.086094 -76.433350 44.029 45.665 295.38 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 14:06:05.238168+00:00, O3tot col 2.9393e+02\n", + "188848072_TEMPO_O3TOT_L2_V04_20240725T160435Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111580 -76.359627 22.748 45.704 330.72 4228 1.000\n", + " 10 842 37.092224 -76.364021 22.736 45.683 333.25 4228 1.000\n", + " 11 841 37.109688 -76.417015 22.771 45.682 323.56 4224 0.979\n", + " 11 842 37.090317 -76.421402 22.760 45.661 325.51 4224 0.976\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188848071_TEMPO_O3TOT_L2_V04_20240725T150435Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.114288 -76.334305 32.566 45.723 323.53 4224 1.000\n", + " 9 841 37.094959 -76.338692 32.561 45.702 321.59 4224 1.000\n", + " 10 840 37.112236 -76.391449 32.594 45.701 315.59 4224 1.000\n", + " 10 841 37.092880 -76.395828 32.589 45.680 313.74 4224 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188848073_TEMPO_O3TOT_L2_V04_20240725T170435Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110405 -76.346024 17.720 45.700 324.09 4224 0.905\n", + " 10 842 37.091061 -76.350410 17.701 45.678 327.25 4228 0.920\n", + " 11 841 37.108498 -76.403267 17.721 45.677 315.24 4224 0.863\n", + " 11 842 37.089157 -76.407631 17.702 45.656 322.02 4224 0.901\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188848074_TEMPO_O3TOT_L2_V04_20240725T180435Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.117973 -76.331337 21.328 45.704 296.73 0 0.624\n", + " 9 842 37.098648 -76.335724 21.310 45.683 296.09 4096 0.667\n", + " 10 841 37.116287 -76.388199 21.305 45.682 297.37 0 0.598\n", + " 10 842 37.096943 -76.392578 21.287 45.661 297.90 0 0.621\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 18:06:05.731002+00:00, O3tot col 2.9733e+02\n", + "188848076_TEMPO_O3TOT_L2_V04_20240725T200435Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111256 -76.366333 41.832 45.668 297.87 0 0.735\n", + " 10 842 37.091904 -76.370720 41.825 45.647 297.50 0 0.718\n", + " 11 841 37.109238 -76.423386 41.797 45.646 299.45 0 0.750\n", + " 11 842 37.089874 -76.427757 41.790 45.624 298.94 0 0.780\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 20:06:08.257365+00:00, O3tot col 2.9844e+02\n", + "188848075_TEMPO_O3TOT_L2_V04_20240725T190435Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108860 -76.345032 30.591 45.681 296.37 4096 0.832\n", + " 10 842 37.089527 -76.349426 30.579 45.660 294.32 4096 0.802\n", + " 11 841 37.107029 -76.402458 30.559 45.659 295.91 4096 0.793\n", + " 11 842 37.087700 -76.406822 30.547 45.637 295.58 4096 0.810\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188848077_TEMPO_O3TOT_L2_V04_20240725T210435Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116734 -76.358833 53.693 45.670 297.62 0 0.607\n", + " 10 842 37.097389 -76.363213 53.689 45.648 297.11 0 0.583\n", + " 11 841 37.115223 -76.416481 53.657 45.648 297.86 0 0.598\n", + " 11 842 37.095871 -76.420860 53.653 45.627 298.07 0 0.604\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 21:06:08.263153+00:00, O3tot col 2.9767e+02\n", + "188848078_TEMPO_O3TOT_L2_V04_20240725T220435Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114792 -76.361877 65.636 45.662 299.43 0 0.675\n", + " 10 842 37.095448 -76.366264 65.635 45.641 298.95 0 0.679\n", + " 11 841 37.112797 -76.418739 65.601 45.640 299.65 0 0.789\n", + " 11 842 37.093437 -76.423119 65.600 45.619 299.59 0 0.797\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-25 22:06:08.259797+00:00, O3tot col 2.9940e+02\n", + "jobID = 66a6ed1f-223e-4b45-a92b-478335851e7b\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848087_TEMPO_O3TOT_L2_V04_20240726T104424Z_S001G03_subsetted.nc\n", + "./188848088_TEMPO_O3TOT_L2_V04_20240726T112429Z_S002G03_subsetted.nc\n", + "./188848089_TEMPO_O3TOT_L2_V04_20240726T120434Z_S003G03_subsetted.nc\n", + "./188848090_TEMPO_O3TOT_L2_V04_20240726T124439Z_S004G03_subsetted.nc\n", + "./188848092_TEMPO_O3TOT_L2_V04_20240726T140452Z_S006G03_subsetted.nc\n", + "./188848091_TEMPO_O3TOT_L2_V04_20240726T132444Z_S005G03_subsetted.nc\n", + "./188848093_TEMPO_O3TOT_L2_V04_20240726T150452Z_S007G03_subsetted.nc\n", + "./188848094_TEMPO_O3TOT_L2_V04_20240726T160452Z_S008G03_subsetted.nc\n", + "./188848095_TEMPO_O3TOT_L2_V04_20240726T170452Z_S009G03_subsetted.nc\n", + "./188848098_TEMPO_O3TOT_L2_V04_20240726T200452Z_S012G03_subsetted.nc\n", + "./188848096_TEMPO_O3TOT_L2_V04_20240726T180452Z_S010G03_subsetted.nc\n", + "./188848099_TEMPO_O3TOT_L2_V04_20240726T210452Z_S013G03_subsetted.nc\n", + "./188848100_TEMPO_O3TOT_L2_V04_20240726T220452Z_S014G03_subsetted.nc\n", + "./188848097_TEMPO_O3TOT_L2_V04_20240726T190452Z_S011G03_subsetted.nc\n", + "Number of result files: 14\n", + "188848087_TEMPO_O3TOT_L2_V04_20240726T104424Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.122776 -76.334694 83.381 45.745 323.33 0 0.720\n", + " 9 842 37.103409 -76.339096 83.391 45.724 323.13 0 0.742\n", + " 10 841 37.121296 -76.395180 83.418 45.723 327.04 0 0.611\n", + " 10 842 37.101917 -76.399574 83.427 45.701 344.13 0 0.590\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-26 10:46:00.267176+00:00, O3tot col 3.2941e+02\n", + "188848088_TEMPO_O3TOT_L2_V04_20240726T112429Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.123466 -76.350266 75.742 45.741 302.34 0 0.000\n", + " 10 842 37.104099 -76.354675 75.750 45.720 302.72 0 0.000\n", + " 11 841 37.121765 -76.405914 75.776 45.720 302.37 0 0.000\n", + " 11 842 37.102394 -76.410309 75.784 45.698 302.55 128 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 11:26:01.730794+00:00, O3tot col 3.0248e+02\n", + "all qualities: averaged time 2024-07-26 11:26:01.730794+00:00, O3tot col 3.0248e+02\n", + "188848089_TEMPO_O3TOT_L2_V04_20240726T120434Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.104740 -76.380951 67.927 45.710 300.15 0 0.673\n", + " 10 842 37.085369 -76.385345 67.933 45.689 301.34 0 0.569\n", + " 11 841 37.103039 -76.437759 67.962 45.688 301.24 0 0.704\n", + " 11 842 37.083683 -76.442139 67.968 45.667 300.44 0 0.519\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-26 12:06:07.239809+00:00, O3tot col 3.0079e+02\n", + "188848090_TEMPO_O3TOT_L2_V04_20240726T124439Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115623 -76.353027 59.951 45.730 298.62 0 0.177\n", + " 10 842 37.096245 -76.357430 59.956 45.708 298.01 0 0.142\n", + " 11 841 37.113983 -76.409676 59.987 45.708 298.71 0 0.353\n", + " 11 842 37.094620 -76.414062 59.991 45.687 297.18 0 0.316\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 12:46:12.224730+00:00, O3tot col 2.9813e+02\n", + "all qualities: averaged time 2024-07-26 12:46:12.224730+00:00, O3tot col 2.9813e+02\n", + "188848092_TEMPO_O3TOT_L2_V04_20240726T140452Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115849 -76.365807 44.059 45.720 296.20 0 0.488\n", + " 10 842 37.096478 -76.370201 44.059 45.698 297.13 0 0.425\n", + " 11 841 37.114883 -76.423225 44.094 45.698 296.60 0 0.408\n", + " 11 842 37.095490 -76.427620 44.094 45.677 296.25 0 0.386\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 14:06:22.231116+00:00, O3tot col 2.9654e+02\n", + "all qualities: averaged time 2024-07-26 14:06:22.231116+00:00, O3tot col 2.9654e+02\n", + "188848091_TEMPO_O3TOT_L2_V04_20240726T132444Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.106041 -76.366386 51.978 45.713 300.68 0 0.125\n", + " 10 842 37.086670 -76.370781 51.980 45.691 300.09 0 0.121\n", + " 11 841 37.104813 -76.423370 52.013 45.691 299.46 0 0.137\n", + " 11 842 37.085430 -76.427757 52.016 45.670 299.51 0 0.099\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 13:26:17.227787+00:00, O3tot col 2.9994e+02\n", + "all qualities: averaged time 2024-07-26 13:26:17.227787+00:00, O3tot col 2.9994e+02\n", + "188848093_TEMPO_O3TOT_L2_V04_20240726T150452Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.106922 -76.338875 32.656 45.714 293.98 0 0.325\n", + " 9 842 37.087574 -76.343269 32.651 45.693 293.36 0 0.285\n", + " 10 841 37.105301 -76.395874 32.684 45.692 293.32 0 0.387\n", + " 10 842 37.085934 -76.400261 32.680 45.671 293.72 0 0.409\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 15:06:19.192531+00:00, O3tot col 2.9359e+02\n", + "all qualities: averaged time 2024-07-26 15:06:19.192531+00:00, O3tot col 2.9359e+02\n", + "188848094_TEMPO_O3TOT_L2_V04_20240726T160452Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.106834 -76.378731 22.897 45.692 297.63 0 0.029\n", + " 10 842 37.087467 -76.383125 22.886 45.671 297.83 0 0.029\n", + " 11 841 37.105217 -76.436333 22.921 45.670 296.06 0 0.029\n", + " 11 842 37.085869 -76.440697 22.909 45.649 296.89 0 0.049\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 16:06:22.240658+00:00, O3tot col 2.9710e+02\n", + "all qualities: averaged time 2024-07-26 16:06:22.240658+00:00, O3tot col 2.9710e+02\n", + "188848095_TEMPO_O3TOT_L2_V04_20240726T170452Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.108330 -76.344765 17.937 45.697 297.67 0 0.045\n", + " 10 843 37.088985 -76.349152 17.918 45.676 298.32 0 0.062\n", + " 11 842 37.106693 -76.401939 17.938 45.675 297.91 0 0.056\n", + " 11 843 37.087357 -76.406303 17.919 45.654 298.07 0 0.045\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 17:06:22.235434+00:00, O3tot col 2.9799e+02\n", + "all qualities: averaged time 2024-07-26 17:06:22.235434+00:00, O3tot col 2.9799e+02\n", + "188848098_TEMPO_O3TOT_L2_V04_20240726T200452Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.122662 -76.329109 42.035 45.692 297.98 0 0.058\n", + " 9 842 37.103317 -76.333496 42.027 45.671 298.74 0 0.058\n", + " 10 841 37.120861 -76.386505 42.002 45.670 299.75 0 0.000\n", + " 10 842 37.101505 -76.390884 41.995 45.649 300.27 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 20:06:22.215734+00:00, O3tot col 2.9919e+02\n", + "all qualities: averaged time 2024-07-26 20:06:22.215734+00:00, O3tot col 2.9919e+02\n", + "188848096_TEMPO_O3TOT_L2_V04_20240726T180452Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117794 -76.371597 21.535 45.689 298.01 0 0.079\n", + " 10 842 37.098442 -76.375977 21.518 45.667 298.68 0 0.059\n", + " 11 841 37.115768 -76.427818 21.512 45.667 297.86 0 0.054\n", + " 11 842 37.096416 -76.432182 21.495 45.645 299.11 0 0.030\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 18:06:22.233943+00:00, O3tot col 2.9841e+02\n", + "all qualities: averaged time 2024-07-26 18:06:22.233943+00:00, O3tot col 2.9841e+02\n", + "188848099_TEMPO_O3TOT_L2_V04_20240726T210452Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.109585 -76.337997 53.878 45.669 297.71 0 0.417\n", + " 9 842 37.090263 -76.342384 53.873 45.648 297.46 0 0.331\n", + " 10 841 37.108105 -76.395187 53.842 45.648 301.48 0 0.752\n", + " 10 842 37.088760 -76.399567 53.838 45.626 301.45 0 0.712\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 21:06:20.714992+00:00, O3tot col 2.9759e+02\n", + "all qualities: averaged time 2024-07-26 21:06:22.231521+00:00, O3tot col 2.9952e+02\n", + "188848100_TEMPO_O3TOT_L2_V04_20240726T220452Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.120022 -76.364220 65.814 45.666 300.59 0 0.609\n", + " 10 842 37.100674 -76.368607 65.812 45.645 299.93 0 0.519\n", + " 11 841 37.118877 -76.420876 65.779 45.645 302.34 0 0.691\n", + " 11 842 37.099503 -76.425255 65.778 45.624 303.55 0 0.639\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-26 22:06:25.266004+00:00, O3tot col 3.0160e+02\n", + "188848097_TEMPO_O3TOT_L2_V04_20240726T190452Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109974 -76.346184 30.791 45.681 300.66 0 0.000\n", + " 10 842 37.090637 -76.350571 30.779 45.660 299.78 0 0.003\n", + " 11 841 37.108433 -76.404175 30.758 45.659 297.63 0 0.004\n", + " 11 842 37.089100 -76.408539 30.746 45.637 301.35 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-26 19:06:22.232942+00:00, O3tot col 2.9986e+02\n", + "all qualities: averaged time 2024-07-26 19:06:22.232942+00:00, O3tot col 2.9986e+02\n", + "jobID = 13c8dfaf-8b1c-4739-bc24-7a2d0e38a715\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848147_TEMPO_O3TOT_L2_V04_20240727T104439Z_S001G03_subsetted.nc\n", + "./188848148_TEMPO_O3TOT_L2_V04_20240727T112444Z_S002G03_subsetted.nc\n", + "./188848149_TEMPO_O3TOT_L2_V04_20240727T120449Z_S003G03_subsetted.nc\n", + "./188848151_TEMPO_O3TOT_L2_V04_20240727T132459Z_S005G03_subsetted.nc\n", + "./188848153_TEMPO_O3TOT_L2_V04_20240727T150313Z_S007G03_subsetted.nc\n", + "./188848152_TEMPO_O3TOT_L2_V04_20240727T140507Z_S006G03_subsetted.nc\n", + "./188848150_TEMPO_O3TOT_L2_V04_20240727T124454Z_S004G03_subsetted.nc\n", + "./188848154_TEMPO_O3TOT_L2_V04_20240727T180507Z_S009G03_subsetted.nc\n", + "./188848155_TEMPO_O3TOT_L2_V04_20240727T190507Z_S010G03_subsetted.nc\n", + "./188848156_TEMPO_O3TOT_L2_V04_20240727T200507Z_S011G03_subsetted.nc\n", + "./188848157_TEMPO_O3TOT_L2_V04_20240727T210507Z_S012G03_subsetted.nc\n", + "./188848158_TEMPO_O3TOT_L2_V04_20240727T220507Z_S013G03_subsetted.nc\n", + "Number of result files: 12\n", + "188848147_TEMPO_O3TOT_L2_V04_20240727T104439Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117672 -76.359116 83.511 45.732 348.17 0 0.189\n", + " 10 842 37.098282 -76.363518 83.520 45.711 358.29 0 0.409\n", + " 11 841 37.115860 -76.416695 83.542 45.710 337.73 0 0.342\n", + " 11 842 37.096462 -76.421082 83.552 45.689 352.38 0 0.262\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-27 10:46:09.207496+00:00, O3tot col 3.4914e+02\n", + "188848148_TEMPO_O3TOT_L2_V04_20240727T112444Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109783 -76.349533 75.824 45.728 327.46 0 0.000\n", + " 10 842 37.090408 -76.353912 75.832 45.706 325.50 0 0.000\n", + " 11 841 37.108078 -76.408180 75.860 45.705 327.62 0 0.000\n", + " 11 842 37.088711 -76.412544 75.868 45.684 326.73 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 11:26:17.224952+00:00, O3tot col 3.2683e+02\n", + "all qualities: averaged time 2024-07-27 11:26:17.224952+00:00, O3tot col 3.2683e+02\n", + "188848149_TEMPO_O3TOT_L2_V04_20240727T120449Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.119411 -76.382812 67.999 45.725 338.30 0 0.000\n", + " 10 841 37.100025 -76.387199 68.005 45.703 335.11 0 0.000\n", + " 11 840 37.117462 -76.439972 68.035 45.703 337.44 0 0.000\n", + " 11 841 37.098114 -76.444328 68.041 45.681 334.75 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 12:06:22.228063+00:00, O3tot col 3.3640e+02\n", + "all qualities: averaged time 2024-07-27 12:06:22.228063+00:00, O3tot col 3.3640e+02\n", + "188848151_TEMPO_O3TOT_L2_V04_20240727T132459Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116554 -76.365494 52.049 45.724 344.77 0 0.000\n", + " 10 842 37.097183 -76.369888 52.051 45.702 345.38 0 0.000\n", + " 11 841 37.115013 -76.422096 52.084 45.702 346.26 0 0.000\n", + " 11 842 37.095615 -76.426491 52.086 45.681 346.58 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 13:26:32.234249+00:00, O3tot col 3.4575e+02\n", + "all qualities: averaged time 2024-07-27 13:26:32.234249+00:00, O3tot col 3.4575e+02\n", + "188848153_TEMPO_O3TOT_L2_V04_20240727T150313Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.105236 -76.338425 32.750 45.711 361.55 0 0.000\n", + " 9 842 37.085888 -76.342819 32.745 45.690 360.88 0 0.000\n", + " 10 841 37.103630 -76.395599 32.779 45.689 360.95 0 0.000\n", + " 10 842 37.084255 -76.399986 32.774 45.668 360.82 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 15:06:35.198741+00:00, O3tot col 3.6105e+02\n", + "all qualities: averaged time 2024-07-27 15:06:35.198741+00:00, O3tot col 3.6105e+02\n", + "188848152_TEMPO_O3TOT_L2_V04_20240727T140507Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.113609 -76.378410 44.145 45.712 354.82 0 0.000\n", + " 10 842 37.094231 -76.382805 44.144 45.691 353.58 0 0.000\n", + " 11 841 37.112534 -76.435692 44.180 45.691 355.65 0 0.000\n", + " 11 842 37.093185 -76.440048 44.179 45.670 354.02 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 14:06:37.237233+00:00, O3tot col 3.5452e+02\n", + "all qualities: averaged time 2024-07-27 14:06:37.237233+00:00, O3tot col 3.5452e+02\n", + "188848150_TEMPO_O3TOT_L2_V04_20240727T124454Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117046 -76.378517 60.041 45.722 338.39 0 0.000\n", + " 10 842 37.097668 -76.382919 60.046 45.701 338.78 0 0.000\n", + " 11 841 37.115261 -76.435219 60.077 45.700 341.22 0 0.000\n", + " 11 842 37.095924 -76.439575 60.081 45.679 341.06 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 12:46:27.231326+00:00, O3tot col 3.3986e+02\n", + "all qualities: averaged time 2024-07-27 12:46:27.231326+00:00, O3tot col 3.3986e+02\n", + "188848154_TEMPO_O3TOT_L2_V04_20240727T180507Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.121632 -76.347763 21.779 45.709 360.76 0 0.000\n", + " 10 841 37.102276 -76.352158 21.761 45.688 359.49 0 0.000\n", + " 11 840 37.119934 -76.405174 21.756 45.687 361.85 0 0.000\n", + " 11 841 37.100574 -76.409554 21.738 45.665 359.10 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 18:06:37.236613+00:00, O3tot col 3.6030e+02\n", + "all qualities: averaged time 2024-07-27 18:06:37.236613+00:00, O3tot col 3.6030e+02\n", + "188848155_TEMPO_O3TOT_L2_V04_20240727T190507Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.106983 -76.348450 30.987 45.689 364.68 0 0.000\n", + " 10 842 37.087639 -76.352844 30.975 45.668 364.73 0 0.000\n", + " 11 841 37.105305 -76.405739 30.955 45.667 365.31 0 0.000\n", + " 11 842 37.085968 -76.410110 30.943 45.646 364.69 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 19:06:37.237600+00:00, O3tot col 3.6485e+02\n", + "all qualities: averaged time 2024-07-27 19:06:37.237600+00:00, O3tot col 3.6485e+02\n", + "188848156_TEMPO_O3TOT_L2_V04_20240727T200507Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.109921 -76.334015 42.214 45.693 363.00 0 0.000\n", + " 9 842 37.090591 -76.338402 42.206 45.672 363.09 0 0.000\n", + " 10 841 37.108349 -76.390846 42.179 45.671 362.58 0 0.000\n", + " 10 842 37.088989 -76.395241 42.171 45.650 363.94 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 20:06:37.234974+00:00, O3tot col 3.6315e+02\n", + "all qualities: averaged time 2024-07-27 20:06:37.234974+00:00, O3tot col 3.6315e+02\n", + "188848157_TEMPO_O3TOT_L2_V04_20240727T210507Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.123161 -76.334244 54.058 45.702 354.80 0 0.000\n", + " 9 841 37.103813 -76.338638 54.054 45.681 354.54 0 0.000\n", + " 10 840 37.121456 -76.391731 54.022 45.680 355.81 0 0.000\n", + " 10 841 37.102100 -76.396111 54.018 45.659 354.97 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 21:06:37.235073+00:00, O3tot col 3.5503e+02\n", + "all qualities: averaged time 2024-07-27 21:06:37.235073+00:00, O3tot col 3.5503e+02\n", + "188848158_TEMPO_O3TOT_L2_V04_20240727T220507Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118675 -76.377060 65.982 45.679 348.56 0 0.000\n", + " 10 842 37.099319 -76.381454 65.981 45.657 349.24 0 0.000\n", + " 11 841 37.117088 -76.435089 65.946 45.657 349.03 0 0.000\n", + " 11 842 37.097763 -76.439438 65.945 45.635 348.44 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-27 22:06:40.268444+00:00, O3tot col 3.4882e+02\n", + "all qualities: averaged time 2024-07-27 22:06:40.268444+00:00, O3tot col 3.4882e+02\n", + "jobID = fe14066f-ffa0-43e6-8a04-9d8aebb851c2\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848200_TEMPO_O3TOT_L2_V04_20240728T112501Z_S002G03_subsetted.nc\n", + "./188848199_TEMPO_O3TOT_L2_V04_20240728T104456Z_S001G03_subsetted.nc\n", + "./188848201_TEMPO_O3TOT_L2_V04_20240728T120506Z_S003G03_subsetted.nc\n", + "./188848202_TEMPO_O3TOT_L2_V04_20240728T124511Z_S004G03_subsetted.nc\n", + "./188848203_TEMPO_O3TOT_L2_V04_20240728T132516Z_S005G03_subsetted.nc\n", + "./188848204_TEMPO_O3TOT_L2_V04_20240728T140524Z_S006G03_subsetted.nc\n", + "./188848205_TEMPO_O3TOT_L2_V04_20240728T150524Z_S007G03_subsetted.nc\n", + "./188848206_TEMPO_O3TOT_L2_V04_20240728T160524Z_S008G03_subsetted.nc\n", + "./188848207_TEMPO_O3TOT_L2_V04_20240728T170524Z_S009G03_subsetted.nc\n", + "./188848208_TEMPO_O3TOT_L2_V04_20240728T180524Z_S010G03_subsetted.nc\n", + "./188848209_TEMPO_O3TOT_L2_V04_20240728T190524Z_S011G03_subsetted.nc\n", + "./188848210_TEMPO_O3TOT_L2_V04_20240728T200524Z_S012G03_subsetted.nc\n", + "./188848212_TEMPO_O3TOT_L2_V04_20240728T220524Z_S014G03_subsetted.nc\n", + "./188848211_TEMPO_O3TOT_L2_V04_20240728T210524Z_S013G03_subsetted.nc\n", + "Number of result files: 14\n", + "188848200_TEMPO_O3TOT_L2_V04_20240728T112501Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112923 -76.365707 75.909 45.709 336.62 0 0.000\n", + " 10 842 37.093555 -76.370094 75.917 45.687 335.94 0 0.000\n", + " 11 841 37.111649 -76.423889 75.945 45.687 334.47 0 0.000\n", + " 11 842 37.092262 -76.428268 75.953 45.665 336.12 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 11:26:34.228276+00:00, O3tot col 3.3579e+02\n", + "all qualities: averaged time 2024-07-28 11:26:34.228276+00:00, O3tot col 3.3579e+02\n", + "188848199_TEMPO_O3TOT_L2_V04_20240728T104456Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.121944 -76.362366 83.582 45.718 350.87 0 0.000\n", + " 10 841 37.102562 -76.366753 83.591 45.697 348.55 0 0.000\n", + " 11 840 37.120354 -76.419090 83.616 45.697 353.85 0 0.000\n", + " 11 841 37.100952 -76.423470 83.625 45.675 356.95 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-28 10:46:29.242365+00:00, O3tot col 3.5256e+02\n", + "188848201_TEMPO_O3TOT_L2_V04_20240728T120506Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110924 -76.337311 68.045 45.717 337.46 0 0.000\n", + " 10 842 37.091587 -76.341705 68.051 45.696 336.34 0 0.000\n", + " 11 841 37.109619 -76.394043 68.077 45.696 335.48 0 0.000\n", + " 11 842 37.090252 -76.398430 68.083 45.674 335.70 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 12:06:36.197851+00:00, O3tot col 3.3624e+02\n", + "all qualities: averaged time 2024-07-28 12:06:36.197851+00:00, O3tot col 3.3624e+02\n", + "188848202_TEMPO_O3TOT_L2_V04_20240728T124511Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.117012 -76.379417 60.107 45.709 336.73 0 0.000\n", + " 10 843 37.097637 -76.383820 60.111 45.687 335.58 0 0.000\n", + " 11 842 37.114887 -76.437057 60.143 45.686 334.90 0 0.000\n", + " 11 843 37.095551 -76.441414 60.147 45.665 334.99 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 12:46:44.233419+00:00, O3tot col 3.3555e+02\n", + "all qualities: averaged time 2024-07-28 12:46:44.233419+00:00, O3tot col 3.3555e+02\n", + "188848203_TEMPO_O3TOT_L2_V04_20240728T132516Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.120621 -76.327255 52.097 45.730 334.13 0 0.000\n", + " 9 842 37.101273 -76.331657 52.099 45.709 335.11 0 0.000\n", + " 10 841 37.119167 -76.384094 52.129 45.709 334.06 0 0.000\n", + " 10 842 37.099800 -76.388489 52.131 45.687 334.19 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 13:26:46.203431+00:00, O3tot col 3.3437e+02\n", + "all qualities: averaged time 2024-07-28 13:26:46.203431+00:00, O3tot col 3.3437e+02\n", + "188848204_TEMPO_O3TOT_L2_V04_20240728T140524Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.111511 -76.335419 44.195 45.717 333.97 0 0.000\n", + " 9 842 37.092178 -76.339813 44.195 45.695 333.52 0 0.000\n", + " 10 841 37.109409 -76.392952 44.227 45.694 332.80 0 0.000\n", + " 10 842 37.090042 -76.397346 44.226 45.673 332.76 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 14:06:51.205498+00:00, O3tot col 3.3326e+02\n", + "all qualities: averaged time 2024-07-28 14:06:51.205498+00:00, O3tot col 3.3326e+02\n", + "188848205_TEMPO_O3TOT_L2_V04_20240728T150524Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.105595 -76.357620 32.863 45.700 331.89 0 0.000\n", + " 10 842 37.086239 -76.362015 32.858 45.679 333.89 0 0.000\n", + " 11 841 37.103619 -76.414848 32.891 45.678 332.17 0 0.000\n", + " 11 842 37.084232 -76.419243 32.886 45.656 333.74 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 15:06:51.201100+00:00, O3tot col 3.3292e+02\n", + "all qualities: averaged time 2024-07-28 15:06:51.201100+00:00, O3tot col 3.3292e+02\n", + "188848206_TEMPO_O3TOT_L2_V04_20240728T160524Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.108028 -76.337639 23.187 45.706 337.66 0 0.000\n", + " 9 842 37.088692 -76.342033 23.175 45.685 336.95 0 0.000\n", + " 10 841 37.106937 -76.395203 23.208 45.685 336.21 0 0.000\n", + " 10 842 37.087578 -76.399590 23.196 45.663 336.18 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 16:06:51.197514+00:00, O3tot col 3.3675e+02\n", + "all qualities: averaged time 2024-07-28 16:06:51.197514+00:00, O3tot col 3.3675e+02\n", + "188848207_TEMPO_O3TOT_L2_V04_20240728T170524Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112770 -76.363098 18.397 45.697 338.52 0 0.000\n", + " 10 842 37.093410 -76.367493 18.378 45.676 337.95 0 0.000\n", + " 11 841 37.111153 -76.420128 18.398 45.676 339.47 0 0.000\n", + " 11 842 37.091778 -76.424515 18.378 45.654 339.07 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 17:06:54.225391+00:00, O3tot col 3.3875e+02\n", + "all qualities: averaged time 2024-07-28 17:06:54.225391+00:00, O3tot col 3.3875e+02\n", + "188848208_TEMPO_O3TOT_L2_V04_20240728T180524Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110008 -76.383934 21.991 45.682 340.25 0 0.000\n", + " 10 842 37.090652 -76.388321 21.973 45.661 340.91 0 0.000\n", + " 11 841 37.108620 -76.440872 21.968 45.661 339.94 0 0.000\n", + " 11 842 37.089294 -76.445229 21.951 45.639 340.00 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 18:06:54.224815+00:00, O3tot col 3.4027e+02\n", + "all qualities: averaged time 2024-07-28 18:06:54.224815+00:00, O3tot col 3.4027e+02\n", + "188848209_TEMPO_O3TOT_L2_V04_20240728T190524Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109325 -76.372475 31.183 45.681 339.63 0 0.000\n", + " 10 842 37.089966 -76.376869 31.170 45.659 340.21 0 0.000\n", + " 11 841 37.107155 -76.430145 31.150 45.658 338.40 128 0.000\n", + " 11 842 37.087807 -76.434525 31.138 45.637 338.32 128 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 19:06:52.724318+00:00, O3tot col 3.3992e+02\n", + "all qualities: averaged time 2024-07-28 19:06:52.724318+00:00, O3tot col 3.3992e+02\n", + "188848210_TEMPO_O3TOT_L2_V04_20240728T200524Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.113167 -76.347511 42.398 45.689 337.22 0 0.000\n", + " 10 842 37.093822 -76.351891 42.390 45.667 337.52 0 0.000\n", + " 11 841 37.111458 -76.404388 42.364 45.667 336.01 128 0.034\n", + " 11 842 37.092117 -76.408760 42.356 45.646 334.34 128 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 20:06:52.722682+00:00, O3tot col 3.3737e+02\n", + "all qualities: averaged time 2024-07-28 20:06:52.722682+00:00, O3tot col 3.3737e+02\n", + "188848212_TEMPO_O3TOT_L2_V04_20240728T220524Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.124027 -76.325386 66.202 45.700 328.71 0 0.000\n", + " 9 842 37.104671 -76.329788 66.201 45.679 328.28 0 0.000\n", + " 10 841 37.122181 -76.382866 66.167 45.678 327.10 0 0.000\n", + " 10 842 37.102814 -76.387268 66.166 45.657 326.82 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 22:06:54.238216+00:00, O3tot col 3.2773e+02\n", + "all qualities: averaged time 2024-07-28 22:06:54.238216+00:00, O3tot col 3.2773e+02\n", + "188848211_TEMPO_O3TOT_L2_V04_20240728T210524Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114204 -76.358788 54.227 45.682 331.42 0 0.000\n", + " 10 842 37.094852 -76.363174 54.222 45.660 332.93 0 0.000\n", + " 11 841 37.112480 -76.416000 54.191 45.660 331.40 0 0.000\n", + " 11 842 37.093121 -76.420380 54.187 45.638 331.54 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-28 21:06:54.237939+00:00, O3tot col 3.3182e+02\n", + "all qualities: averaged time 2024-07-28 21:06:54.237939+00:00, O3tot col 3.3182e+02\n", + "jobID = 7c996158-23e0-42ab-bcb5-13fa4804d24b\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848305_TEMPO_O3TOT_L2_V04_20240729T104512Z_S001G03_subsetted.nc\n", + "./188848306_TEMPO_O3TOT_L2_V04_20240729T112517Z_S002G03_subsetted.nc\n", + "./188848307_TEMPO_O3TOT_L2_V04_20240729T120522Z_S003G03_subsetted.nc\n", + "./188848310_TEMPO_O3TOT_L2_V04_20240729T140540Z_S006G03_subsetted.nc\n", + "./188848312_TEMPO_O3TOT_L2_V04_20240729T160540Z_S008G03_subsetted.nc\n", + "./188848313_TEMPO_O3TOT_L2_V04_20240729T170540Z_S009G03_subsetted.nc\n", + "./188848308_TEMPO_O3TOT_L2_V04_20240729T124527Z_S004G03_subsetted.nc\n", + "./188848314_TEMPO_O3TOT_L2_V04_20240729T180540Z_S010G03_subsetted.nc\n", + "./188848315_TEMPO_O3TOT_L2_V04_20240729T190540Z_S011G03_subsetted.nc\n", + "./188848309_TEMPO_O3TOT_L2_V04_20240729T132532Z_S005G03_subsetted.nc\n", + "./188848316_TEMPO_O3TOT_L2_V04_20240729T200540Z_S012G03_subsetted.nc\n", + "./188848311_TEMPO_O3TOT_L2_V04_20240729T150540Z_S007G03_subsetted.nc\n", + "./188848318_TEMPO_O3TOT_L2_V04_20240729T220540Z_S014G03_subsetted.nc\n", + "./188848317_TEMPO_O3TOT_L2_V04_20240729T210540Z_S013G03_subsetted.nc\n", + "Number of result files: 14\n", + "188848305_TEMPO_O3TOT_L2_V04_20240729T104512Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.107094 -76.337814 83.667 45.714 347.74 0 0.230\n", + " 9 842 37.087738 -76.342209 83.677 45.693 354.53 0 0.209\n", + " 10 841 37.105721 -76.394646 83.698 45.692 356.83 0 0.088\n", + " 10 842 37.086342 -76.399033 83.708 45.671 343.54 0 0.048\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-29 10:46:42.194144+00:00, O3tot col 3.5066e+02\n", + "188848306_TEMPO_O3TOT_L2_V04_20240729T112517Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.120949 -76.331718 75.972 45.731 323.28 0 0.073\n", + " 9 842 37.101585 -76.336105 75.980 45.709 321.04 0 0.017\n", + " 10 841 37.119011 -76.388550 76.004 45.709 321.36 0 0.046\n", + " 10 842 37.099636 -76.392929 76.011 45.687 320.87 0 0.042\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 11:26:47.197398+00:00, O3tot col 3.2164e+02\n", + "all qualities: averaged time 2024-07-29 11:26:47.197398+00:00, O3tot col 3.2164e+02\n", + "188848307_TEMPO_O3TOT_L2_V04_20240729T120522Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.117153 -76.330185 68.110 45.728 321.96 0 0.241\n", + " 9 842 37.097813 -76.334572 68.116 45.706 323.16 0 0.385\n", + " 10 841 37.115124 -76.387878 68.143 45.705 322.69 0 0.043\n", + " 10 842 37.095764 -76.392265 68.149 45.684 322.71 0 0.064\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 12:06:52.200592+00:00, O3tot col 3.2263e+02\n", + "all qualities: averaged time 2024-07-29 12:06:52.200592+00:00, O3tot col 3.2263e+02\n", + "188848310_TEMPO_O3TOT_L2_V04_20240729T140540Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119560 -76.358208 44.291 45.717 324.08 0 0.000\n", + " 10 842 37.100197 -76.362610 44.290 45.695 323.68 0 0.000\n", + " 11 841 37.118389 -76.415993 44.323 45.695 323.83 0 0.000\n", + " 11 842 37.099022 -76.420372 44.322 45.673 324.18 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 14:07:07.207943+00:00, O3tot col 3.2394e+02\n", + "all qualities: averaged time 2024-07-29 14:07:07.207943+00:00, O3tot col 3.2394e+02\n", + "188848312_TEMPO_O3TOT_L2_V04_20240729T160540Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122772 -76.369812 23.373 45.707 321.90 0 0.000\n", + " 10 841 37.103416 -76.374207 23.361 45.686 320.63 0 0.000\n", + " 11 840 37.121300 -76.427650 23.394 45.685 322.64 0 0.000\n", + " 11 841 37.101940 -76.432022 23.382 45.664 320.95 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 16:07:07.198421+00:00, O3tot col 3.2153e+02\n", + "all qualities: averaged time 2024-07-29 16:07:07.198421+00:00, O3tot col 3.2153e+02\n", + "188848313_TEMPO_O3TOT_L2_V04_20240729T170540Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.116207 -76.330849 18.635 45.709 315.15 0 0.015\n", + " 9 843 37.096882 -76.335236 18.616 45.688 316.25 0 0.017\n", + " 10 842 37.114513 -76.389229 18.635 45.687 311.85 0 0.056\n", + " 10 843 37.095169 -76.393616 18.616 45.665 313.54 0 0.143\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 17:07:07.194466+00:00, O3tot col 3.1420e+02\n", + "all qualities: averaged time 2024-07-29 17:07:07.194466+00:00, O3tot col 3.1420e+02\n", + "188848308_TEMPO_O3TOT_L2_V04_20240729T124527Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.119087 -76.337036 60.155 45.727 323.20 0 0.059\n", + " 9 842 37.099731 -76.341438 60.159 45.705 323.01 0 0.023\n", + " 10 841 37.117691 -76.395058 60.188 45.705 323.69 0 0.026\n", + " 10 842 37.098324 -76.399445 60.192 45.683 322.89 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 12:46:57.203328+00:00, O3tot col 3.2320e+02\n", + "all qualities: averaged time 2024-07-29 12:46:57.203328+00:00, O3tot col 3.2320e+02\n", + "188848314_TEMPO_O3TOT_L2_V04_20240729T180540Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112286 -76.354881 22.241 45.691 309.64 0 0.209\n", + " 10 842 37.092930 -76.359276 22.224 45.670 310.63 0 0.239\n", + " 11 841 37.110752 -76.411926 22.221 45.669 310.50 0 0.156\n", + " 11 842 37.091400 -76.416313 22.203 45.648 309.41 0 0.158\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 18:07:07.194384+00:00, O3tot col 3.1005e+02\n", + "all qualities: averaged time 2024-07-29 18:07:07.194384+00:00, O3tot col 3.1005e+02\n", + "188848315_TEMPO_O3TOT_L2_V04_20240729T190540Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109253 -76.352356 31.399 45.684 308.89 0 0.077\n", + " 10 842 37.089905 -76.356750 31.387 45.662 311.78 0 0.075\n", + " 11 841 37.107426 -76.409721 31.370 45.662 308.62 0 0.169\n", + " 11 842 37.088081 -76.414093 31.357 45.640 311.68 0 0.151\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 19:07:07.191010+00:00, O3tot col 3.1024e+02\n", + "all qualities: averaged time 2024-07-29 19:07:07.191010+00:00, O3tot col 3.1024e+02\n", + "188848309_TEMPO_O3TOT_L2_V04_20240729T132532Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111481 -76.366600 52.198 45.707 323.63 0 0.000\n", + " 10 842 37.092113 -76.371002 52.200 45.686 324.11 0 0.000\n", + " 11 841 37.109715 -76.423912 52.230 45.685 323.14 0 0.000\n", + " 11 842 37.090336 -76.428299 52.232 45.664 323.46 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 13:27:02.205985+00:00, O3tot col 3.2359e+02\n", + "all qualities: averaged time 2024-07-29 13:27:02.205985+00:00, O3tot col 3.2359e+02\n", + "188848316_TEMPO_O3TOT_L2_V04_20240729T200540Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105553 -76.373985 42.573 45.668 310.95 0 0.313\n", + " 10 843 37.086197 -76.378372 42.565 45.646 312.35 0 0.237\n", + " 11 842 37.103897 -76.430923 42.538 45.646 310.10 0 0.211\n", + " 11 843 37.084545 -76.435303 42.530 45.624 311.72 0 0.165\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 20:07:10.223694+00:00, O3tot col 3.1128e+02\n", + "all qualities: averaged time 2024-07-29 20:07:10.223694+00:00, O3tot col 3.1128e+02\n", + "188848311_TEMPO_O3TOT_L2_V04_20240729T150540Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109386 -76.377449 32.980 45.696 323.20 0 0.000\n", + " 10 842 37.090019 -76.381851 32.975 45.674 323.87 0 0.000\n", + " 11 841 37.107487 -76.434448 33.008 45.674 322.06 0 0.000\n", + " 11 842 37.088123 -76.438828 33.003 45.652 322.97 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 15:07:07.203773+00:00, O3tot col 3.2302e+02\n", + "all qualities: averaged time 2024-07-29 15:07:07.203773+00:00, O3tot col 3.2302e+02\n", + "188848318_TEMPO_O3TOT_L2_V04_20240729T220540Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.110104 -76.341629 66.383 45.677 311.37 0 0.000\n", + " 10 843 37.090771 -76.346016 66.381 45.656 312.08 0 0.010\n", + " 11 842 37.108772 -76.399864 66.347 45.655 313.53 0 0.127\n", + " 11 843 37.089439 -76.404228 66.345 45.634 315.63 0 0.100\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 22:07:10.239332+00:00, O3tot col 3.1315e+02\n", + "all qualities: averaged time 2024-07-29 22:07:10.239332+00:00, O3tot col 3.1315e+02\n", + "188848317_TEMPO_O3TOT_L2_V04_20240729T210540Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.107414 -76.331139 54.426 45.681 310.43 0 0.236\n", + " 9 842 37.088085 -76.335526 54.421 45.659 307.35 0 0.281\n", + " 10 841 37.105610 -76.388596 54.393 45.659 310.44 0 0.314\n", + " 10 842 37.086254 -76.392975 54.389 45.637 310.26 0 0.375\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-29 21:07:07.195712+00:00, O3tot col 3.0962e+02\n", + "all qualities: averaged time 2024-07-29 21:07:07.195712+00:00, O3tot col 3.0962e+02\n", + "jobID = 2503f7ca-e098-47f8-b972-39902c5383d9\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848491_TEMPO_O3TOT_L2_V04_20240730T104528Z_S001G03_subsetted.nc\n", + "./188848492_TEMPO_O3TOT_L2_V04_20240730T112533Z_S002G03_subsetted.nc\n", + "./188848493_TEMPO_O3TOT_L2_V04_20240730T120538Z_S003G03_subsetted.nc\n", + "./188848494_TEMPO_O3TOT_L2_V04_20240730T124543Z_S004G03_subsetted.nc\n", + "./188848495_TEMPO_O3TOT_L2_V04_20240730T132548Z_S005G03_subsetted.nc\n", + "./188848498_TEMPO_O3TOT_L2_V04_20240730T160556Z_S008G03_subsetted.nc\n", + "./188848496_TEMPO_O3TOT_L2_V04_20240730T140556Z_S006G03_subsetted.nc\n", + "./188848497_TEMPO_O3TOT_L2_V04_20240730T150556Z_S007G03_subsetted.nc\n", + "./188848500_TEMPO_O3TOT_L2_V04_20240730T180556Z_S010G03_subsetted.nc\n", + "./188848503_TEMPO_O3TOT_L2_V04_20240730T210633Z_S013G03_subsetted.nc\n", + "./188848501_TEMPO_O3TOT_L2_V04_20240730T190556Z_S011G03_subsetted.nc\n", + "./188848499_TEMPO_O3TOT_L2_V04_20240730T170556Z_S009G03_subsetted.nc\n", + "./188848502_TEMPO_O3TOT_L2_V04_20240730T200556Z_S012G03_subsetted.nc\n", + "Number of result files: 13\n", + "188848491_TEMPO_O3TOT_L2_V04_20240730T104528Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.107948 -76.381279 83.766 45.702 336.14 0 0.484\n", + " 10 842 37.088558 -76.385666 83.775 45.681 330.81 0 0.403\n", + " 11 841 37.106270 -76.438278 83.800 45.681 324.57 0 0.544\n", + " 11 842 37.086906 -76.442642 83.810 45.659 328.66 0 0.548\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-30 10:47:04.260138+00:00, O3tot col 3.3005e+02\n", + "188848492_TEMPO_O3TOT_L2_V04_20240730T112533Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109509 -76.364731 76.057 45.710 317.23 0 0.164\n", + " 10 842 37.090134 -76.369110 76.064 45.689 318.08 0 0.167\n", + " 11 841 37.107800 -76.422310 76.092 45.688 316.77 0 0.220\n", + " 11 842 37.088417 -76.426689 76.100 45.666 317.28 0 0.317\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 11:27:09.262634+00:00, O3tot col 3.1734e+02\n", + "all qualities: averaged time 2024-07-30 11:27:09.262634+00:00, O3tot col 3.1734e+02\n", + "188848493_TEMPO_O3TOT_L2_V04_20240730T120538Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.123837 -76.342850 68.169 45.732 326.75 128 0.386\n", + " 10 842 37.104469 -76.347252 68.175 45.711 314.48 0 0.423\n", + " 11 841 37.122440 -76.399437 68.204 45.710 315.65 0 0.720\n", + " 11 842 37.103058 -76.403831 68.210 45.689 316.27 0 0.775\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 12:07:12.748628+00:00, O3tot col 3.1448e+02\n", + "all qualities: averaged time 2024-07-30 12:07:14.770692+00:00, O3tot col 3.1547e+02\n", + "188848494_TEMPO_O3TOT_L2_V04_20240730T124543Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.122959 -76.349419 60.212 45.728 311.65 0 0.865\n", + " 10 842 37.103596 -76.353821 60.216 45.706 312.25 0 0.899\n", + " 11 841 37.121655 -76.407745 60.248 45.706 311.81 0 0.876\n", + " 11 842 37.102287 -76.412132 60.252 45.684 312.46 0 0.895\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-30 12:47:19.267882+00:00, O3tot col 3.1204e+02\n", + "188848495_TEMPO_O3TOT_L2_V04_20240730T132548Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118343 -76.360146 52.241 45.717 311.33 0 0.748\n", + " 10 842 37.098980 -76.364548 52.243 45.696 310.60 0 0.748\n", + " 11 841 37.116398 -76.418289 52.278 45.695 312.37 0 0.651\n", + " 11 842 37.097019 -76.422684 52.279 45.673 313.08 0 0.714\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-30 13:27:24.270365+00:00, O3tot col 3.1184e+02\n", + "188848498_TEMPO_O3TOT_L2_V04_20240730T160556Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109615 -76.356255 23.503 45.697 312.60 0 0.000\n", + " 10 842 37.090263 -76.360649 23.491 45.675 313.65 0 0.000\n", + " 11 841 37.108501 -76.413246 23.525 45.675 311.90 0 0.000\n", + " 11 842 37.089142 -76.417633 23.513 45.654 312.60 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 16:07:29.264663+00:00, O3tot col 3.1269e+02\n", + "all qualities: averaged time 2024-07-30 16:07:29.264663+00:00, O3tot col 3.1269e+02\n", + "188848496_TEMPO_O3TOT_L2_V04_20240730T140556Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105576 -76.357903 44.343 45.703 311.28 0 0.403\n", + " 10 843 37.086220 -76.362297 44.342 45.681 312.93 0 0.359\n", + " 11 842 37.103714 -76.414963 44.377 45.680 312.20 0 0.370\n", + " 11 843 37.084328 -76.419357 44.377 45.659 308.29 0 0.373\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 14:07:29.273033+00:00, O3tot col 3.1117e+02\n", + "all qualities: averaged time 2024-07-30 14:07:29.273033+00:00, O3tot col 3.1117e+02\n", + "188848497_TEMPO_O3TOT_L2_V04_20240730T150556Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108402 -76.355568 33.047 45.702 304.13 0 0.113\n", + " 10 842 37.089046 -76.359962 33.041 45.680 305.08 0 0.129\n", + " 11 841 37.107052 -76.412407 33.078 45.680 306.17 0 0.075\n", + " 11 842 37.087692 -76.416786 33.073 45.659 305.82 0 0.060\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 15:07:29.268545+00:00, O3tot col 3.0530e+02\n", + "all qualities: averaged time 2024-07-30 15:07:29.268545+00:00, O3tot col 3.0530e+02\n", + "188848500_TEMPO_O3TOT_L2_V04_20240730T180556Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.119041 -76.338394 22.517 45.700 316.66 0 0.000\n", + " 10 841 37.099705 -76.342789 22.499 45.679 315.71 0 0.000\n", + " 11 840 37.117813 -76.396317 22.494 45.678 317.10 0 0.000\n", + " 11 841 37.098461 -76.400703 22.477 45.657 314.84 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 18:07:29.258982+00:00, O3tot col 3.1608e+02\n", + "all qualities: averaged time 2024-07-30 18:07:29.258982+00:00, O3tot col 3.1608e+02\n", + "188848503_TEMPO_O3TOT_L2_V04_20240730T210633Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.121857 -76.372421 54.623 45.676 315.92 0 0.000\n", + " 10 841 37.102509 -76.376808 54.618 45.655 315.00 128 0.000\n", + " 11 840 37.120285 -76.429260 54.587 45.654 315.69 0 0.000\n", + " 11 841 37.100948 -76.433624 54.583 45.633 314.85 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 21:07:32.796997+00:00, O3tot col 3.1549e+02\n", + "all qualities: averaged time 2024-07-30 21:07:32.796997+00:00, O3tot col 3.1549e+02\n", + "188848501_TEMPO_O3TOT_L2_V04_20240730T190556Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.113499 -76.383614 31.628 45.672 312.20 0 0.160\n", + " 10 842 37.094143 -76.387993 31.616 45.651 322.73 128 0.247\n", + " 11 841 37.111828 -76.440979 31.596 45.650 311.38 0 0.080\n", + " 11 842 37.092510 -76.445328 31.584 45.629 311.59 0 0.200\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 19:07:32.798012+00:00, O3tot col 3.1172e+02\n", + "all qualities: averaged time 2024-07-30 19:07:32.798012+00:00, O3tot col 3.1172e+02\n", + "188848499_TEMPO_O3TOT_L2_V04_20240730T170556Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121723 -76.377617 18.881 45.695 314.81 0 0.000\n", + " 10 842 37.102364 -76.382011 18.862 45.674 315.56 0 0.000\n", + " 11 841 37.119915 -76.434944 18.881 45.673 313.72 0 0.000\n", + " 11 842 37.100578 -76.439308 18.862 45.652 314.35 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 17:07:32.295960+00:00, O3tot col 3.1461e+02\n", + "all qualities: averaged time 2024-07-30 17:07:32.295960+00:00, O3tot col 3.1461e+02\n", + "188848502_TEMPO_O3TOT_L2_V04_20240730T200556Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114193 -76.349983 42.815 45.680 319.23 128 0.184\n", + " 10 842 37.094841 -76.354385 42.807 45.659 316.52 128 0.055\n", + " 11 841 37.112499 -76.408043 42.779 45.658 316.46 128 0.022\n", + " 11 842 37.093159 -76.412415 42.771 45.636 315.12 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-30 20:07:33.806562+00:00, O3tot col 3.1512e+02\n", + "all qualities: averaged time 2024-07-30 20:07:33.806562+00:00, O3tot col 3.1512e+02\n", + "jobID = c1a89347-23f8-407b-851d-c7c7cdbc0dd3\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848567_TEMPO_O3TOT_L2_V04_20240731T104544Z_S001G03_subsetted.nc\n", + "./188848568_TEMPO_O3TOT_L2_V04_20240731T112549Z_S002G03_subsetted.nc\n", + "./188848570_TEMPO_O3TOT_L2_V04_20240731T124559Z_S004G03_subsetted.nc\n", + "./188848569_TEMPO_O3TOT_L2_V04_20240731T120554Z_S003G03_subsetted.nc\n", + "./188848571_TEMPO_O3TOT_L2_V04_20240731T132604Z_S005G03_subsetted.nc\n", + "./188848573_TEMPO_O3TOT_L2_V04_20240731T160612Z_S008G03_subsetted.nc\n", + "./188848574_TEMPO_O3TOT_L2_V04_20240731T170612Z_S009G03_subsetted.nc\n", + "./188848572_TEMPO_O3TOT_L2_V04_20240731T140612Z_S006G03_subsetted.nc\n", + "./188848575_TEMPO_O3TOT_L2_V04_20240731T180612Z_S010G03_subsetted.nc\n", + "./188848576_TEMPO_O3TOT_L2_V04_20240731T190612Z_S011G03_subsetted.nc\n", + "./188848577_TEMPO_O3TOT_L2_V04_20240731T200612Z_S012G03_subsetted.nc\n", + "./188848578_TEMPO_O3TOT_L2_V04_20240731T210612Z_S013G03_subsetted.nc\n", + "./188848579_TEMPO_O3TOT_L2_V04_20240731T220612Z_S014G03_subsetted.nc\n", + "Number of result files: 13\n", + "188848567_TEMPO_O3TOT_L2_V04_20240731T104544Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112541 -76.358803 83.837 45.718 336.15 0 0.000\n", + " 10 842 37.093189 -76.363190 83.846 45.697 328.85 0 0.000\n", + " 11 841 37.110573 -76.416702 83.872 45.696 326.82 0 0.000\n", + " 11 842 37.091202 -76.421082 83.881 45.674 331.90 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-07-31 10:47:20.271988+00:00, O3tot col 3.3093e+02\n", + "188848568_TEMPO_O3TOT_L2_V04_20240731T112549Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.105244 -76.360512 76.134 45.710 307.46 0 0.000\n", + " 10 842 37.085884 -76.364899 76.142 45.689 308.65 0 0.000\n", + " 11 841 37.103100 -76.418739 76.170 45.687 308.62 0 0.000\n", + " 11 842 37.083694 -76.423126 76.178 45.666 307.74 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 11:27:25.257688+00:00, O3tot col 3.0812e+02\n", + "all qualities: averaged time 2024-07-31 11:27:25.257688+00:00, O3tot col 3.0812e+02\n", + "188848570_TEMPO_O3TOT_L2_V04_20240731T124559Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.116913 -76.342308 60.278 45.726 311.19 0 0.031\n", + " 10 843 37.097557 -76.346703 60.281 45.704 310.83 0 0.030\n", + " 11 842 37.115051 -76.399483 60.313 45.703 310.79 0 0.045\n", + " 11 843 37.095676 -76.403870 60.317 45.682 311.32 0 0.059\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 12:47:35.262864+00:00, O3tot col 3.1103e+02\n", + "all qualities: averaged time 2024-07-31 12:47:35.262864+00:00, O3tot col 3.1103e+02\n", + "188848569_TEMPO_O3TOT_L2_V04_20240731T120554Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.121346 -76.333572 68.236 45.735 308.36 0 0.006\n", + " 9 842 37.101982 -76.337975 68.242 45.714 309.41 0 0.009\n", + " 10 841 37.119526 -76.391251 68.272 45.713 310.30 0 0.029\n", + " 10 842 37.100163 -76.395630 68.278 45.691 310.00 0 0.029\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 12:07:30.260223+00:00, O3tot col 3.0952e+02\n", + "all qualities: averaged time 2024-07-31 12:07:30.260223+00:00, O3tot col 3.0952e+02\n", + "188848571_TEMPO_O3TOT_L2_V04_20240731T132604Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119972 -76.370956 52.323 45.716 309.31 0 0.064\n", + " 10 842 37.100609 -76.375351 52.325 45.695 308.64 0 0.093\n", + " 11 841 37.118042 -76.428185 52.358 45.694 309.17 0 0.096\n", + " 11 842 37.098679 -76.432564 52.360 45.672 308.92 0 0.115\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 13:27:40.265322+00:00, O3tot col 3.0901e+02\n", + "all qualities: averaged time 2024-07-31 13:27:40.265322+00:00, O3tot col 3.0901e+02\n", + "188848573_TEMPO_O3TOT_L2_V04_20240731T160612Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 832 37.123112 -76.367912 23.627 45.701 313.17 0 0.000\n", + " 10 833 37.103760 -76.372299 23.615 45.680 312.74 0 0.000\n", + " 11 832 37.121559 -76.427139 23.650 45.679 312.08 0 0.000\n", + " 11 833 37.102196 -76.431511 23.638 45.657 312.59 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 16:08:12.540966+00:00, O3tot col 3.1264e+02\n", + "all qualities: averaged time 2024-07-31 16:08:12.540966+00:00, O3tot col 3.1264e+02\n", + "188848574_TEMPO_O3TOT_L2_V04_20240731T170612Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.119194 -76.330261 19.123 45.704 314.80 0 0.000\n", + " 9 842 37.099857 -76.334656 19.104 45.682 312.83 0 0.000\n", + " 10 841 37.117477 -76.386505 19.123 45.682 311.99 0 0.000\n", + " 10 842 37.098125 -76.390892 19.104 45.660 312.02 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 17:07:45.256295+00:00, O3tot col 3.1291e+02\n", + "all qualities: averaged time 2024-07-31 17:07:45.256295+00:00, O3tot col 3.1291e+02\n", + "188848572_TEMPO_O3TOT_L2_V04_20240731T140612Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119652 -76.356483 44.425 45.718 309.00 0 0.000\n", + " 10 842 37.100292 -76.360878 44.424 45.696 310.06 0 0.000\n", + " 11 841 37.118629 -76.412849 44.459 45.697 308.18 0 0.000\n", + " 11 842 37.099262 -76.417229 44.458 45.675 309.08 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 14:07:45.267771+00:00, O3tot col 3.0908e+02\n", + "all qualities: averaged time 2024-07-31 14:07:45.267771+00:00, O3tot col 3.0908e+02\n", + "188848575_TEMPO_O3TOT_L2_V04_20240731T180612Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110340 -76.344070 22.761 45.683 310.50 0 0.000\n", + " 10 842 37.091011 -76.348457 22.744 45.661 311.88 0 0.000\n", + " 11 841 37.109039 -76.401115 22.739 45.661 310.75 128 0.000\n", + " 11 842 37.089703 -76.405479 22.722 45.640 310.57 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 18:07:44.765393+00:00, O3tot col 3.1098e+02\n", + "all qualities: averaged time 2024-07-31 18:07:44.765393+00:00, O3tot col 3.1098e+02\n", + "188848576_TEMPO_O3TOT_L2_V04_20240731T190612Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.105659 -76.385536 31.849 45.657 310.03 128 0.027\n", + " 10 842 37.086311 -76.389923 31.836 45.635 309.68 0 0.009\n", + " 11 841 37.103840 -76.443123 31.816 45.635 308.20 0 0.035\n", + " 11 842 37.084518 -76.447472 31.804 45.613 309.23 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 19:07:48.808594+00:00, O3tot col 3.0903e+02\n", + "all qualities: averaged time 2024-07-31 19:07:48.808594+00:00, O3tot col 3.0903e+02\n", + "188848577_TEMPO_O3TOT_L2_V04_20240731T200612Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.113377 -76.363846 43.011 45.667 308.46 0 0.027\n", + " 10 842 37.094032 -76.368233 43.003 45.646 304.83 0 0.138\n", + " 11 841 37.111786 -76.421051 42.977 45.645 307.66 0 0.009\n", + " 11 842 37.092419 -76.425430 42.968 45.624 308.74 0 0.003\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 20:07:48.302404+00:00, O3tot col 3.0742e+02\n", + "all qualities: averaged time 2024-07-31 20:07:48.302404+00:00, O3tot col 3.0742e+02\n", + "188848578_TEMPO_O3TOT_L2_V04_20240731T210612Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117695 -76.372963 54.823 45.665 307.24 0 0.000\n", + " 10 842 37.098347 -76.377342 54.818 45.643 307.93 0 0.000\n", + " 11 841 37.115654 -76.430031 54.787 45.642 307.23 0 0.000\n", + " 11 842 37.096325 -76.434395 54.783 45.621 308.31 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 21:07:48.284546+00:00, O3tot col 3.0768e+02\n", + "all qualities: averaged time 2024-07-31 21:07:48.284546+00:00, O3tot col 3.0768e+02\n", + "188848579_TEMPO_O3TOT_L2_V04_20240731T220612Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.116047 -76.333870 66.807 45.675 308.12 0 0.000\n", + " 9 842 37.096725 -76.338249 66.806 45.653 308.91 0 0.000\n", + " 10 841 37.114632 -76.391212 66.772 45.653 308.24 0 0.000\n", + " 10 842 37.095295 -76.395592 66.770 45.632 310.01 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-07-31 22:07:48.299306+00:00, O3tot col 3.0882e+02\n", + "all qualities: averaged time 2024-07-31 22:07:48.299306+00:00, O3tot col 3.0882e+02\n", + "jobID = d7aae61c-665d-4936-b020-93224e73acc9\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848592_TEMPO_O3TOT_L2_V04_20240801T104600Z_S001G03_subsetted.nc\n", + "./188848593_TEMPO_O3TOT_L2_V04_20240801T112605Z_S002G03_subsetted.nc\n", + "./188848594_TEMPO_O3TOT_L2_V04_20240801T120610Z_S003G03_subsetted.nc\n", + "./188848596_TEMPO_O3TOT_L2_V04_20240801T132620Z_S005G03_subsetted.nc\n", + "./188848597_TEMPO_O3TOT_L2_V04_20240801T140628Z_S006G03_subsetted.nc\n", + "./188848595_TEMPO_O3TOT_L2_V04_20240801T124615Z_S004G03_subsetted.nc\n", + "./188848598_TEMPO_O3TOT_L2_V04_20240801T150628Z_S007G03_subsetted.nc\n", + "./188848600_TEMPO_O3TOT_L2_V04_20240801T170628Z_S009G03_subsetted.nc\n", + "./188848599_TEMPO_O3TOT_L2_V04_20240801T160628Z_S008G03_subsetted.nc\n", + "./188848601_TEMPO_O3TOT_L2_V04_20240801T180628Z_S010G03_subsetted.nc\n", + "./188848603_TEMPO_O3TOT_L2_V04_20240801T200628Z_S012G03_subsetted.nc\n", + "./188848602_TEMPO_O3TOT_L2_V04_20240801T190628Z_S011G03_subsetted.nc\n", + "./188848604_TEMPO_O3TOT_L2_V04_20240801T210628Z_S013G03_subsetted.nc\n", + "./188848605_TEMPO_O3TOT_L2_V04_20240801T220628Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188848592_TEMPO_O3TOT_L2_V04_20240801T104600Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.107239 -76.332275 83.908 45.726 330.31 0 0.000\n", + " 9 841 37.087826 -76.336678 83.918 45.704 324.31 0 0.000\n", + " 10 840 37.104961 -76.390770 83.944 45.703 328.00 0 0.000\n", + " 10 841 37.085522 -76.395172 83.953 45.681 322.54 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-01 10:47:36.271082+00:00, O3tot col 3.2629e+02\n", + "188848593_TEMPO_O3TOT_L2_V04_20240801T112605Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.113991 -76.330009 76.199 45.733 301.48 0 0.000\n", + " 9 842 37.094646 -76.334396 76.207 45.711 301.55 0 0.000\n", + " 10 841 37.112267 -76.386398 76.234 45.711 302.39 0 0.000\n", + " 10 842 37.092896 -76.390778 76.241 45.690 302.49 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 11:27:38.241352+00:00, O3tot col 3.0198e+02\n", + "all qualities: averaged time 2024-08-01 11:27:38.241352+00:00, O3tot col 3.0198e+02\n", + "188848594_TEMPO_O3TOT_L2_V04_20240801T120610Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.108547 -76.334175 68.313 45.724 302.09 0 0.000\n", + " 9 843 37.089199 -76.338570 68.319 45.703 302.12 0 0.000\n", + " 10 842 37.106922 -76.391022 68.349 45.702 301.95 0 0.000\n", + " 10 843 37.087536 -76.395424 68.354 45.681 301.61 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 12:07:46.258314+00:00, O3tot col 3.0194e+02\n", + "all qualities: averaged time 2024-08-01 12:07:46.258314+00:00, O3tot col 3.0194e+02\n", + "188848596_TEMPO_O3TOT_L2_V04_20240801T132620Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.113995 -76.365349 52.392 45.713 304.86 0 0.000\n", + " 10 842 37.094624 -76.369743 52.394 45.692 303.84 0 0.000\n", + " 11 841 37.111809 -76.422821 52.428 45.691 305.20 0 0.000\n", + " 11 842 37.092422 -76.427216 52.429 45.669 303.07 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 13:27:56.264386+00:00, O3tot col 3.0425e+02\n", + "all qualities: averaged time 2024-08-01 13:27:56.264386+00:00, O3tot col 3.0425e+02\n", + "188848597_TEMPO_O3TOT_L2_V04_20240801T140628Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115940 -76.371964 44.518 45.709 305.63 0 0.249\n", + " 10 842 37.096577 -76.376350 44.517 45.688 304.28 0 0.236\n", + " 11 841 37.113899 -76.428642 44.552 45.687 305.41 0 0.225\n", + " 11 842 37.094536 -76.433014 44.551 45.665 305.28 0 0.233\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 14:08:01.267070+00:00, O3tot col 3.0515e+02\n", + "all qualities: averaged time 2024-08-01 14:08:01.267070+00:00, O3tot col 3.0515e+02\n", + "188848595_TEMPO_O3TOT_L2_V04_20240801T124615Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.124092 -76.337852 60.346 45.737 302.49 0 0.000\n", + " 9 842 37.104721 -76.342262 60.350 45.715 302.50 0 0.000\n", + " 10 841 37.122608 -76.395493 60.383 45.715 302.62 0 0.000\n", + " 10 842 37.103230 -76.399887 60.386 45.693 302.62 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 12:47:51.261736+00:00, O3tot col 3.0256e+02\n", + "all qualities: averaged time 2024-08-01 12:47:51.261736+00:00, O3tot col 3.0256e+02\n", + "188848598_TEMPO_O3TOT_L2_V04_20240801T150628Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115253 -76.370880 33.277 45.702 315.83 0 0.000\n", + " 10 842 37.095894 -76.375267 33.272 45.680 315.27 0 0.000\n", + " 11 841 37.113865 -76.428314 33.309 45.680 315.60 0 0.000\n", + " 11 842 37.094505 -76.432686 33.303 45.659 315.75 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 15:08:01.260956+00:00, O3tot col 3.1561e+02\n", + "all qualities: averaged time 2024-08-01 15:08:01.260956+00:00, O3tot col 3.1561e+02\n", + "188848600_TEMPO_O3TOT_L2_V04_20240801T170628Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.105747 -76.336021 19.361 45.687 316.56 0 0.000\n", + " 9 843 37.086414 -76.340408 19.342 45.666 316.90 0 0.000\n", + " 10 842 37.104359 -76.393158 19.361 45.666 316.09 0 0.000\n", + " 10 843 37.084995 -76.397545 19.342 45.644 317.70 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 17:08:01.269665+00:00, O3tot col 3.1681e+02\n", + "all qualities: averaged time 2024-08-01 17:08:01.269665+00:00, O3tot col 3.1681e+02\n", + "188848599_TEMPO_O3TOT_L2_V04_20240801T160628Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.106102 -76.360680 23.840 45.688 319.06 0 0.000\n", + " 10 842 37.086746 -76.365067 23.827 45.666 316.63 0 0.000\n", + " 11 841 37.104763 -76.417839 23.861 45.666 316.79 0 0.000\n", + " 11 842 37.085381 -76.422226 23.849 45.645 317.34 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 16:08:01.256824+00:00, O3tot col 3.1745e+02\n", + "all qualities: averaged time 2024-08-01 16:08:01.256824+00:00, O3tot col 3.1745e+02\n", + "188848601_TEMPO_O3TOT_L2_V04_20240801T180628Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112602 -76.342934 23.024 45.683 319.44 0 0.000\n", + " 10 842 37.093273 -76.347321 23.006 45.662 317.52 0 0.000\n", + " 11 841 37.111469 -76.400436 23.001 45.662 317.93 0 0.000\n", + " 11 842 37.092129 -76.404808 22.984 45.640 315.67 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 18:08:01.270129+00:00, O3tot col 3.1764e+02\n", + "all qualities: averaged time 2024-08-01 18:08:01.270129+00:00, O3tot col 3.1764e+02\n", + "188848603_TEMPO_O3TOT_L2_V04_20240801T200628Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.123409 -76.362236 43.228 45.674 318.83 0 0.000\n", + " 10 842 37.104065 -76.366623 43.220 45.652 317.90 0 0.000\n", + " 11 841 37.121635 -76.419174 43.193 45.652 316.95 0 0.000\n", + " 11 842 37.102276 -76.423546 43.185 45.630 317.09 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 20:08:04.300552+00:00, O3tot col 3.1769e+02\n", + "all qualities: averaged time 2024-08-01 20:08:04.300552+00:00, O3tot col 3.1769e+02\n", + "188848602_TEMPO_O3TOT_L2_V04_20240801T190628Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.106083 -76.333481 32.108 45.672 316.80 0 0.000\n", + " 9 842 37.086754 -76.337868 32.095 45.651 317.68 0 0.000\n", + " 10 841 37.104530 -76.390381 32.076 45.651 317.69 0 0.000\n", + " 10 842 37.085171 -76.394768 32.064 45.629 316.32 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 19:08:01.266491+00:00, O3tot col 3.1712e+02\n", + "all qualities: averaged time 2024-08-01 19:08:01.266491+00:00, O3tot col 3.1712e+02\n", + "188848604_TEMPO_O3TOT_L2_V04_20240801T210628Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108067 -76.363075 55.036 45.653 316.34 0 0.000\n", + " 10 842 37.088722 -76.367455 55.032 45.632 315.34 0 0.000\n", + " 11 841 37.106358 -76.420181 55.001 45.631 315.14 0 0.000\n", + " 11 842 37.086990 -76.424561 54.996 45.610 313.39 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 21:08:04.297746+00:00, O3tot col 3.1505e+02\n", + "all qualities: averaged time 2024-08-01 21:08:04.297746+00:00, O3tot col 3.1505e+02\n", + "188848605_TEMPO_O3TOT_L2_V04_20240801T220628Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121975 -76.378639 66.988 45.660 311.78 0 0.000\n", + " 10 842 37.102623 -76.383018 66.986 45.638 310.90 0 0.000\n", + " 11 841 37.120544 -76.435768 66.953 45.638 312.78 0 0.018\n", + " 11 842 37.101219 -76.440117 66.951 45.617 311.45 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-01 22:08:07.331513+00:00, O3tot col 3.1173e+02\n", + "all qualities: averaged time 2024-08-01 22:08:07.331513+00:00, O3tot col 3.1173e+02\n", + "jobID = 4ea11a05-ad0b-4c0f-bd2e-b98ef8bbb6f1\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848707_TEMPO_O3TOT_L2_V04_20240802T104614Z_S001G03_subsetted.nc\n", + "./188848708_TEMPO_O3TOT_L2_V04_20240802T112619Z_S002G03_subsetted.nc\n", + "./188848709_TEMPO_O3TOT_L2_V04_20240802T120624Z_S003G03_subsetted.nc\n", + "./188848710_TEMPO_O3TOT_L2_V04_20240802T124629Z_S004G03_subsetted.nc\n", + "./188848711_TEMPO_O3TOT_L2_V04_20240802T132634Z_S005G03_subsetted.nc\n", + "./188848713_TEMPO_O3TOT_L2_V04_20240802T150642Z_S007G03_subsetted.nc\n", + "./188848712_TEMPO_O3TOT_L2_V04_20240802T140642Z_S006G03_subsetted.nc\n", + "./188848714_TEMPO_O3TOT_L2_V04_20240802T160642Z_S008G03_subsetted.nc\n", + "./188848715_TEMPO_O3TOT_L2_V04_20240802T170642Z_S009G03_subsetted.nc\n", + "./188848716_TEMPO_O3TOT_L2_V04_20240802T180642Z_S010G03_subsetted.nc\n", + "./188848717_TEMPO_O3TOT_L2_V04_20240802T190642Z_S011G03_subsetted.nc\n", + "./188848719_TEMPO_O3TOT_L2_V04_20240802T210642Z_S013G03_subsetted.nc\n", + "./188848720_TEMPO_O3TOT_L2_V04_20240802T220642Z_S014G03_subsetted.nc\n", + "./188848718_TEMPO_O3TOT_L2_V04_20240802T200642Z_S012G03_subsetted.nc\n", + "Number of result files: 14\n", + "188848707_TEMPO_O3TOT_L2_V04_20240802T104614Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.122669 -76.337410 84.005 45.743 321.30 2 0.000\n", + " 9 842 37.103313 -76.341805 84.014 45.722 329.55 2 0.000\n", + " 10 841 37.120922 -76.393280 84.039 45.722 325.01 2 0.000\n", + " 10 842 37.101559 -76.397659 84.048 45.700 321.59 2 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-02 10:47:50.267730+00:00, O3tot col 3.2436e+02\n", + "188848708_TEMPO_O3TOT_L2_V04_20240802T112619Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122303 -76.367897 76.306 45.731 299.07 0 0.000\n", + " 10 841 37.102928 -76.372284 76.313 45.710 297.71 0 0.055\n", + " 11 840 37.120861 -76.424919 76.341 45.710 299.18 0 0.000\n", + " 11 841 37.101456 -76.429298 76.348 45.688 300.82 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 11:27:55.270534+00:00, O3tot col 2.9920e+02\n", + "all qualities: averaged time 2024-08-02 11:27:55.270534+00:00, O3tot col 2.9920e+02\n", + "188848709_TEMPO_O3TOT_L2_V04_20240802T120624Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121902 -76.382301 68.423 45.724 297.43 0 0.064\n", + " 10 842 37.102512 -76.386688 68.428 45.702 295.97 0 0.011\n", + " 11 841 37.119930 -76.439819 68.458 45.702 297.96 0 0.124\n", + " 11 842 37.100574 -76.444176 68.464 45.680 296.27 0 0.163\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 12:08:03.288271+00:00, O3tot col 2.9691e+02\n", + "all qualities: averaged time 2024-08-02 12:08:03.288271+00:00, O3tot col 2.9691e+02\n", + "188848710_TEMPO_O3TOT_L2_V04_20240802T124629Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121380 -76.347130 60.434 45.733 294.97 0 0.172\n", + " 10 842 37.102009 -76.351532 60.438 45.712 296.60 0 0.053\n", + " 11 841 37.119968 -76.404129 60.470 45.711 298.19 0 0.010\n", + " 11 842 37.100597 -76.408508 60.473 45.690 298.89 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 12:48:05.259029+00:00, O3tot col 2.9716e+02\n", + "all qualities: averaged time 2024-08-02 12:48:05.259029+00:00, O3tot col 2.9716e+02\n", + "188848711_TEMPO_O3TOT_L2_V04_20240802T132634Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119957 -76.373672 52.482 45.719 297.11 0 0.038\n", + " 10 842 37.100590 -76.378067 52.483 45.697 297.85 0 0.000\n", + " 11 841 37.118343 -76.430763 52.517 45.697 300.13 0 0.000\n", + " 11 842 37.098991 -76.435135 52.519 45.675 299.37 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 13:28:10.261471+00:00, O3tot col 2.9862e+02\n", + "all qualities: averaged time 2024-08-02 13:28:10.261471+00:00, O3tot col 2.9862e+02\n", + "188848713_TEMPO_O3TOT_L2_V04_20240802T150642Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111282 -76.374092 33.396 45.697 302.77 0 0.000\n", + " 10 842 37.091915 -76.378479 33.391 45.676 304.12 0 0.000\n", + " 11 841 37.109318 -76.431915 33.428 45.675 304.40 0 0.000\n", + " 11 842 37.089958 -76.436287 33.422 45.653 304.55 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 15:08:15.258665+00:00, O3tot col 3.0396e+02\n", + "all qualities: averaged time 2024-08-02 15:08:15.258665+00:00, O3tot col 3.0396e+02\n", + "188848712_TEMPO_O3TOT_L2_V04_20240802T140642Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119289 -76.377335 44.613 45.712 303.93 0 0.000\n", + " 10 842 37.099922 -76.381729 44.612 45.691 303.27 0 0.000\n", + " 11 841 37.117882 -76.433678 44.647 45.691 303.26 0 0.000\n", + " 11 842 37.098541 -76.438026 44.646 45.669 302.49 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 14:08:15.263177+00:00, O3tot col 3.0324e+02\n", + "all qualities: averaged time 2024-08-02 14:08:15.263177+00:00, O3tot col 3.0324e+02\n", + "188848714_TEMPO_O3TOT_L2_V04_20240802T160642Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.114056 -76.354813 24.022 45.697 305.12 0 0.000\n", + " 10 842 37.094696 -76.359200 24.009 45.676 302.51 0 0.000\n", + " 11 841 37.112202 -76.412521 24.044 45.675 306.91 0 0.000\n", + " 11 842 37.092846 -76.416901 24.031 45.654 306.60 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 16:08:15.271675+00:00, O3tot col 3.0529e+02\n", + "all qualities: averaged time 2024-08-02 16:08:15.271675+00:00, O3tot col 3.0529e+02\n", + "188848715_TEMPO_O3TOT_L2_V04_20240802T170642Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105492 -76.345886 19.618 45.682 301.72 0 0.000\n", + " 10 843 37.086147 -76.350273 19.599 45.661 297.92 0 0.000\n", + " 11 842 37.104149 -76.402184 19.618 45.661 302.77 0 0.000\n", + " 11 843 37.084808 -76.406555 19.599 45.639 301.44 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 17:08:15.265638+00:00, O3tot col 3.0096e+02\n", + "all qualities: averaged time 2024-08-02 17:08:15.265638+00:00, O3tot col 3.0096e+02\n", + "188848716_TEMPO_O3TOT_L2_V04_20240802T180642Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112862 -76.352478 23.281 45.677 304.13 0 0.000\n", + " 10 842 37.093513 -76.356865 23.263 45.656 304.27 0 0.000\n", + " 11 841 37.111145 -76.409424 23.258 45.656 306.65 0 0.000\n", + " 11 842 37.091801 -76.413788 23.241 45.634 305.40 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 18:08:15.266092+00:00, O3tot col 3.0511e+02\n", + "all qualities: averaged time 2024-08-02 18:08:15.266092+00:00, O3tot col 3.0511e+02\n", + "188848717_TEMPO_O3TOT_L2_V04_20240802T190642Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121037 -76.371475 32.328 45.670 309.67 0 0.000\n", + " 10 842 37.101692 -76.375854 32.316 45.649 309.02 0 0.000\n", + " 11 841 37.119125 -76.429459 32.296 45.648 309.22 0 0.000\n", + " 11 842 37.099796 -76.433815 32.283 45.626 307.40 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 19:08:18.295454+00:00, O3tot col 3.0883e+02\n", + "all qualities: averaged time 2024-08-02 19:08:18.295454+00:00, O3tot col 3.0883e+02\n", + "188848719_TEMPO_O3TOT_L2_V04_20240802T210642Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110901 -76.370865 55.235 45.648 308.31 0 0.000\n", + " 10 842 37.091553 -76.375252 55.230 45.627 307.70 0 0.000\n", + " 11 841 37.109077 -76.428711 55.199 45.626 309.56 0 0.000\n", + " 11 842 37.089733 -76.433067 55.194 45.604 308.52 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 21:08:18.293442+00:00, O3tot col 3.0852e+02\n", + "all qualities: averaged time 2024-08-02 21:08:18.293442+00:00, O3tot col 3.0852e+02\n", + "188848720_TEMPO_O3TOT_L2_V04_20240802T220642Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 842 37.122799 -76.335342 67.218 45.670 307.04 0 0.000\n", + " 9 843 37.103458 -76.339737 67.216 45.649 306.26 0 0.000\n", + " 10 842 37.121078 -76.393188 67.182 45.648 306.37 0 0.000\n", + " 10 843 37.101730 -76.397560 67.180 45.627 307.40 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 22:08:18.294316+00:00, O3tot col 3.0677e+02\n", + "all qualities: averaged time 2024-08-02 22:08:18.294316+00:00, O3tot col 3.0677e+02\n", + "188848718_TEMPO_O3TOT_L2_V04_20240802T200642Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.105724 -76.366081 43.433 45.649 308.70 0 0.000\n", + " 10 843 37.086380 -76.370461 43.424 45.628 304.69 0 0.002\n", + " 11 842 37.103809 -76.423698 43.397 45.627 308.88 0 0.000\n", + " 11 843 37.084450 -76.428070 43.389 45.606 308.15 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-02 20:08:18.296518+00:00, O3tot col 3.0760e+02\n", + "all qualities: averaged time 2024-08-02 20:08:18.296518+00:00, O3tot col 3.0760e+02\n", + "jobID = 4a3569a0-459a-442d-b62c-50afb5cc132c\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188848964_TEMPO_O3TOT_L2_V04_20240803T104630Z_S001G03_subsetted.nc\n", + "./188848965_TEMPO_O3TOT_L2_V04_20240803T112635Z_S002G03_subsetted.nc\n", + "./188848967_TEMPO_O3TOT_L2_V04_20240803T124645Z_S004G03_subsetted.nc\n", + "./188848966_TEMPO_O3TOT_L2_V04_20240803T120640Z_S003G03_subsetted.nc\n", + "./188848969_TEMPO_O3TOT_L2_V04_20240803T140711Z_S006G03_subsetted.nc\n", + "./188848968_TEMPO_O3TOT_L2_V04_20240803T132650Z_S005G03_subsetted.nc\n", + "./188848970_TEMPO_O3TOT_L2_V04_20240803T170658Z_S008G03_subsetted.nc\n", + "./188848971_TEMPO_O3TOT_L2_V04_20240803T180658Z_S009G03_subsetted.nc\n", + "./188848973_TEMPO_O3TOT_L2_V04_20240803T200658Z_S011G03_subsetted.nc\n", + "./188848972_TEMPO_O3TOT_L2_V04_20240803T190658Z_S010G03_subsetted.nc\n", + "./188848974_TEMPO_O3TOT_L2_V04_20240803T210658Z_S012G03_subsetted.nc\n", + "./188848975_TEMPO_O3TOT_L2_V04_20240803T220658Z_S013G03_subsetted.nc\n", + "Number of result files: 12\n", + "188848964_TEMPO_O3TOT_L2_V04_20240803T104630Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.103951 -76.380257 84.126 45.712 322.44 2 0.000\n", + " 10 842 37.084583 -76.384636 84.135 45.691 322.95 2 0.000\n", + " 11 841 37.101753 -76.436897 84.160 45.690 325.19 2 0.059\n", + " 11 842 37.082394 -76.441254 84.169 45.669 322.11 2 0.082\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-03 10:48:09.295418+00:00, O3tot col 3.2317e+02\n", + "188848965_TEMPO_O3TOT_L2_V04_20240803T112635Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.114330 -76.375557 76.396 45.724 302.35 0 0.033\n", + " 10 841 37.094948 -76.379944 76.404 45.702 304.01 0 0.053\n", + " 11 840 37.112793 -76.431480 76.431 45.703 302.98 0 0.000\n", + " 11 841 37.093430 -76.435837 76.438 45.681 304.93 0 0.030\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 11:28:11.263801+00:00, O3tot col 3.0357e+02\n", + "all qualities: averaged time 2024-08-03 11:28:11.263801+00:00, O3tot col 3.0357e+02\n", + "188848967_TEMPO_O3TOT_L2_V04_20240803T124645Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121368 -76.367523 60.525 45.729 307.13 0 0.000\n", + " 10 842 37.101997 -76.371918 60.529 45.708 307.21 0 0.005\n", + " 11 841 37.119354 -76.424507 60.561 45.707 307.45 0 0.053\n", + " 11 842 37.099957 -76.428894 60.564 45.685 306.50 0 0.053\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 12:48:21.267663+00:00, O3tot col 3.0707e+02\n", + "all qualities: averaged time 2024-08-03 12:48:21.267663+00:00, O3tot col 3.0707e+02\n", + "188848966_TEMPO_O3TOT_L2_V04_20240803T120640Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.120392 -76.378670 68.497 45.727 306.28 0 0.016\n", + " 10 842 37.101009 -76.383064 68.502 45.706 306.98 0 0.045\n", + " 11 841 37.118778 -76.437325 68.534 45.705 305.65 0 0.040\n", + " 11 842 37.099426 -76.441681 68.539 45.683 306.98 0 0.060\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 12:08:19.298455+00:00, O3tot col 3.0647e+02\n", + "all qualities: averaged time 2024-08-03 12:08:19.298455+00:00, O3tot col 3.0647e+02\n", + "188848969_TEMPO_O3TOT_L2_V04_20240803T140711Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111340 -76.379509 44.695 45.705 306.80 0 0.022\n", + " 10 842 37.091965 -76.383904 44.694 45.684 307.33 0 0.021\n", + " 11 841 37.109898 -76.436234 44.729 45.684 306.48 0 0.013\n", + " 11 842 37.090546 -76.440590 44.728 45.662 305.68 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 14:08:32.272298+00:00, O3tot col 3.0657e+02\n", + "all qualities: averaged time 2024-08-03 14:08:32.272298+00:00, O3tot col 3.0657e+02\n", + "188848968_TEMPO_O3TOT_L2_V04_20240803T132650Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115013 -76.378571 52.562 45.715 306.41 0 0.265\n", + " 10 842 37.095638 -76.382965 52.564 45.693 305.67 0 0.262\n", + " 11 841 37.113079 -76.435524 52.597 45.692 305.95 0 0.210\n", + " 11 842 37.093731 -76.439873 52.599 45.671 303.28 0 0.204\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 13:28:26.270014+00:00, O3tot col 3.0533e+02\n", + "all qualities: averaged time 2024-08-03 13:28:26.270014+00:00, O3tot col 3.0533e+02\n", + "188848970_TEMPO_O3TOT_L2_V04_20240803T170658Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.118374 -76.332886 19.891 45.710 308.91 0 0.010\n", + " 9 842 37.099033 -76.337280 19.872 45.689 308.52 0 0.000\n", + " 10 841 37.116589 -76.390175 19.891 45.688 308.75 0 0.000\n", + " 10 842 37.097237 -76.394554 19.872 45.667 308.81 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 17:08:31.259791+00:00, O3tot col 3.0875e+02\n", + "all qualities: averaged time 2024-08-03 17:08:31.259791+00:00, O3tot col 3.0875e+02\n", + "188848971_TEMPO_O3TOT_L2_V04_20240803T180658Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111889 -76.377502 23.545 45.683 311.68 0 0.000\n", + " 10 842 37.092522 -76.381889 23.527 45.662 310.83 0 0.000\n", + " 11 841 37.109955 -76.435226 23.522 45.661 309.19 128 0.000\n", + " 11 842 37.090614 -76.439583 23.504 45.640 306.94 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 18:08:33.800478+00:00, O3tot col 3.0981e+02\n", + "all qualities: averaged time 2024-08-03 18:08:33.800478+00:00, O3tot col 3.0981e+02\n", + "188848973_TEMPO_O3TOT_L2_V04_20240803T200658Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111324 -76.362061 43.661 45.679 307.12 0 0.000\n", + " 10 842 37.091969 -76.366440 43.653 45.658 305.61 0 0.000\n", + " 11 841 37.109577 -76.418739 43.626 45.657 306.32 128 0.000\n", + " 11 842 37.090210 -76.423119 43.618 45.636 305.99 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 20:08:33.798584+00:00, O3tot col 3.0624e+02\n", + "all qualities: averaged time 2024-08-03 20:08:33.798584+00:00, O3tot col 3.0624e+02\n", + "188848972_TEMPO_O3TOT_L2_V04_20240803T190658Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.103954 -76.377251 32.559 45.671 309.43 0 0.000\n", + " 10 842 37.084599 -76.381638 32.546 45.649 307.05 0 0.000\n", + " 11 841 37.102425 -76.435226 32.526 45.649 308.54 0 0.000\n", + " 11 842 37.083073 -76.439583 32.514 45.627 304.74 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 19:08:34.303474+00:00, O3tot col 3.0744e+02\n", + "all qualities: averaged time 2024-08-03 19:08:34.303474+00:00, O3tot col 3.0744e+02\n", + "188848974_TEMPO_O3TOT_L2_V04_20240803T210658Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.113338 -76.363884 55.457 45.676 298.66 128 0.000\n", + " 10 842 37.093987 -76.368263 55.452 45.655 298.00 0 0.148\n", + " 11 841 37.111713 -76.421242 55.421 45.654 301.88 0 0.280\n", + " 11 842 37.092339 -76.425621 55.417 45.633 302.25 0 0.489\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-03 21:08:34.807398+00:00, O3tot col 3.0071e+02\n", + "all qualities: averaged time 2024-08-03 21:08:34.807398+00:00, O3tot col 3.0071e+02\n", + "188848975_TEMPO_O3TOT_L2_V04_20240803T220658Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117397 -76.363388 67.413 45.677 302.35 0 0.988\n", + " 10 842 37.098042 -76.367775 67.411 45.656 300.76 0 1.000\n", + " 11 841 37.115456 -76.420731 67.378 45.655 302.22 0 1.000\n", + " 11 842 37.096069 -76.425117 67.376 45.633 301.92 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-03 22:08:34.299698+00:00, O3tot col 3.0181e+02\n", + "jobID = de717ea9-0ab0-46c1-835e-3d86d9a0823a\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188849001_TEMPO_O3TOT_L2_V04_20240804T104644Z_S001G03_subsetted.nc\n", + "./188849002_TEMPO_O3TOT_L2_V04_20240804T112649Z_S002G03_subsetted.nc\n", + "./188849003_TEMPO_O3TOT_L2_V04_20240804T120654Z_S003G03_subsetted.nc\n", + "./188849004_TEMPO_O3TOT_L2_V04_20240804T124659Z_S004G03_subsetted.nc\n", + "./188849005_TEMPO_O3TOT_L2_V04_20240804T132704Z_S005G03_subsetted.nc\n", + "./188849006_TEMPO_O3TOT_L2_V04_20240804T140712Z_S006G03_subsetted.nc\n", + "./188849007_TEMPO_O3TOT_L2_V04_20240804T150712Z_S007G03_subsetted.nc\n", + "./188849009_TEMPO_O3TOT_L2_V04_20240804T170712Z_S009G03_subsetted.nc\n", + "./188849008_TEMPO_O3TOT_L2_V04_20240804T160712Z_S008G03_subsetted.nc\n", + "./188849010_TEMPO_O3TOT_L2_V04_20240804T180712Z_S010G03_subsetted.nc\n", + "./188849011_TEMPO_O3TOT_L2_V04_20240804T190712Z_S011G03_subsetted.nc\n", + "./188849012_TEMPO_O3TOT_L2_V04_20240804T200712Z_S012G03_subsetted.nc\n", + "./188849013_TEMPO_O3TOT_L2_V04_20240804T210712Z_S013G03_subsetted.nc\n", + "./188849014_TEMPO_O3TOT_L2_V04_20240804T220712Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188849001_TEMPO_O3TOT_L2_V04_20240804T104644Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122417 -76.340950 84.199 45.723 327.79 2 0.042\n", + " 10 841 37.103081 -76.345345 84.208 45.702 335.72 2 0.000\n", + " 11 840 37.120995 -76.396942 84.233 45.702 336.69 2 0.018\n", + " 11 841 37.101646 -76.401329 84.242 45.681 337.24 2 0.039\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-04 10:48:20.269104+00:00, O3tot col 3.3436e+02\n", + "188849002_TEMPO_O3TOT_L2_V04_20240804T112649Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.117771 -76.329292 76.459 45.724 302.05 0 0.501\n", + " 9 841 37.098427 -76.333672 76.467 45.703 299.74 0 0.433\n", + " 10 840 37.116688 -76.385742 76.494 45.703 301.30 0 0.526\n", + " 10 841 37.097321 -76.390114 76.501 45.682 298.37 0 0.326\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 11:28:22.237984+00:00, O3tot col 2.9905e+02\n", + "all qualities: averaged time 2024-08-04 11:28:22.237984+00:00, O3tot col 3.0036e+02\n", + "188849003_TEMPO_O3TOT_L2_V04_20240804T120654Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118172 -76.344040 68.564 45.720 293.53 0 0.003\n", + " 10 842 37.098808 -76.348434 68.569 45.699 296.04 0 0.081\n", + " 11 841 37.116753 -76.401154 68.599 45.699 296.07 0 0.006\n", + " 11 842 37.097378 -76.405533 68.605 45.677 297.07 128 0.051\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 12:08:29.767846+00:00, O3tot col 2.9521e+02\n", + "all qualities: averaged time 2024-08-04 12:08:29.767846+00:00, O3tot col 2.9521e+02\n", + "188849004_TEMPO_O3TOT_L2_V04_20240804T124659Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.111298 -76.381470 60.619 45.700 300.46 0 0.493\n", + " 10 842 37.091923 -76.385864 60.622 45.679 297.48 0 0.265\n", + " 11 841 37.109230 -76.439713 60.655 45.678 300.41 0 0.373\n", + " 11 842 37.089890 -76.444069 60.659 45.656 298.12 0 0.267\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 12:48:35.259166+00:00, O3tot col 2.9912e+02\n", + "all qualities: averaged time 2024-08-04 12:48:35.259166+00:00, O3tot col 2.9912e+02\n", + "188849005_TEMPO_O3TOT_L2_V04_20240804T132704Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.107193 -76.334404 52.621 45.713 300.04 0 0.403\n", + " 9 842 37.087845 -76.338799 52.623 45.691 299.80 0 0.441\n", + " 10 841 37.105927 -76.391411 52.656 45.691 298.05 0 0.214\n", + " 10 842 37.086548 -76.395813 52.658 45.670 299.23 0 0.281\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 13:28:37.228616+00:00, O3tot col 2.9928e+02\n", + "all qualities: averaged time 2024-08-04 13:28:37.228616+00:00, O3tot col 2.9928e+02\n", + "188849006_TEMPO_O3TOT_L2_V04_20240804T140712Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108059 -76.339684 44.770 45.711 297.90 0 0.149\n", + " 10 842 37.088711 -76.344078 44.769 45.690 297.09 0 0.164\n", + " 11 841 37.106426 -76.396660 44.804 45.689 301.84 0 0.012\n", + " 11 842 37.087067 -76.401047 44.803 45.668 300.39 0 0.034\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 14:08:42.230774+00:00, O3tot col 2.9931e+02\n", + "all qualities: averaged time 2024-08-04 14:08:42.230774+00:00, O3tot col 2.9931e+02\n", + "188849007_TEMPO_O3TOT_L2_V04_20240804T150712Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.112312 -76.331764 33.615 45.716 302.19 0 0.081\n", + " 9 842 37.092983 -76.336151 33.609 45.694 299.33 0 0.114\n", + " 10 841 37.109982 -76.389275 33.646 45.693 302.45 0 0.047\n", + " 10 842 37.090622 -76.393661 33.640 45.672 301.72 0 0.034\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 15:08:42.224810+00:00, O3tot col 3.0142e+02\n", + "all qualities: averaged time 2024-08-04 15:08:42.224810+00:00, O3tot col 3.0142e+02\n", + "188849009_TEMPO_O3TOT_L2_V04_20240804T170712Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.121510 -76.350075 20.161 45.710 305.58 0 0.052\n", + " 10 842 37.102150 -76.354469 20.142 45.689 302.49 0 0.075\n", + " 11 841 37.119961 -76.407349 20.161 45.688 305.84 0 0.040\n", + " 11 842 37.100601 -76.411728 20.142 45.667 306.32 0 0.035\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 17:08:45.265160+00:00, O3tot col 3.0506e+02\n", + "all qualities: averaged time 2024-08-04 17:08:45.265160+00:00, O3tot col 3.0506e+02\n", + "188849008_TEMPO_O3TOT_L2_V04_20240804T160712Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.119164 -76.327187 24.386 45.721 301.04 0 0.108\n", + " 9 841 37.099827 -76.331589 24.373 45.699 306.25 0 0.064\n", + " 10 840 37.117096 -76.385269 24.407 45.698 302.95 0 0.102\n", + " 10 841 37.097736 -76.389656 24.394 45.677 304.61 0 0.075\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 16:08:42.238100+00:00, O3tot col 3.0371e+02\n", + "all qualities: averaged time 2024-08-04 16:08:42.238100+00:00, O3tot col 3.0371e+02\n", + "188849010_TEMPO_O3TOT_L2_V04_20240804T180712Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122711 -76.362442 23.827 45.701 314.11 0 0.076\n", + " 10 841 37.103355 -76.366837 23.810 45.680 312.69 0 0.096\n", + " 11 840 37.121059 -76.418945 23.805 45.680 313.27 0 0.055\n", + " 11 841 37.101688 -76.423325 23.788 45.658 315.10 0 0.087\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 18:08:45.265291+00:00, O3tot col 3.1379e+02\n", + "all qualities: averaged time 2024-08-04 18:08:45.265291+00:00, O3tot col 3.1379e+02\n", + "188849011_TEMPO_O3TOT_L2_V04_20240804T190712Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.121208 -76.368561 32.807 45.692 310.09 0 0.195\n", + " 10 841 37.101860 -76.372948 32.794 45.670 310.13 0 0.153\n", + " 11 840 37.119884 -76.424248 32.776 45.671 308.22 0 0.354\n", + " 11 841 37.100510 -76.428627 32.764 45.649 310.01 0 0.372\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 19:08:45.261502+00:00, O3tot col 3.0961e+02\n", + "all qualities: averaged time 2024-08-04 19:08:45.261502+00:00, O3tot col 3.0961e+02\n", + "188849012_TEMPO_O3TOT_L2_V04_20240804T200712Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.120441 -76.334251 43.898 45.697 304.70 0 0.453\n", + " 9 842 37.101105 -76.338638 43.889 45.676 305.57 0 0.288\n", + " 10 841 37.118557 -76.391281 43.863 45.675 303.88 0 0.368\n", + " 10 842 37.099213 -76.395660 43.855 45.654 301.40 0 0.318\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-04 20:08:45.261832+00:00, O3tot col 3.0389e+02\n", + "all qualities: averaged time 2024-08-04 20:08:45.261832+00:00, O3tot col 3.0389e+02\n", + "188849013_TEMPO_O3TOT_L2_V04_20240804T210712Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.116829 -76.331711 55.688 45.689 305.96 0 0.949\n", + " 9 842 37.097504 -76.336090 55.683 45.668 305.63 0 0.906\n", + " 10 841 37.115379 -76.388199 55.653 45.668 305.63 0 0.712\n", + " 10 842 37.096043 -76.392578 55.648 45.646 303.13 0 0.555\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-04 21:08:45.259096+00:00, O3tot col 3.0509e+02\n", + "188849014_TEMPO_O3TOT_L2_V04_20240804T220712Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.122257 -76.332283 67.643 45.691 303.69 0 1.000\n", + " 9 842 37.102913 -76.336670 67.641 45.669 301.23 0 1.000\n", + " 10 841 37.120716 -76.388725 67.608 45.669 302.24 0 1.000\n", + " 10 842 37.101364 -76.393097 67.606 45.648 303.86 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-04 22:08:45.258449+00:00, O3tot col 3.0275e+02\n", + "jobID = de5eaecf-e65c-4538-8aa1-2c936d44c4e5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188849030_TEMPO_O3TOT_L2_V04_20240805T104659Z_S001G03_subsetted.nc\n", + "./188849031_TEMPO_O3TOT_L2_V04_20240805T112704Z_S002G03_subsetted.nc\n", + "./188849032_TEMPO_O3TOT_L2_V04_20240805T120709Z_S003G03_subsetted.nc\n", + "./188849033_TEMPO_O3TOT_L2_V04_20240805T124714Z_S004G03_subsetted.nc\n", + "./188849034_TEMPO_O3TOT_L2_V04_20240805T132719Z_S005G03_subsetted.nc\n", + "./188849035_TEMPO_O3TOT_L2_V04_20240805T140727Z_S006G03_subsetted.nc\n", + "./188849036_TEMPO_O3TOT_L2_V04_20240805T150727Z_S007G03_subsetted.nc\n", + "./188849037_TEMPO_O3TOT_L2_V04_20240805T160727Z_S008G03_subsetted.nc\n", + "./188849039_TEMPO_O3TOT_L2_V04_20240805T180727Z_S010G03_subsetted.nc\n", + "./188849038_TEMPO_O3TOT_L2_V04_20240805T170727Z_S009G03_subsetted.nc\n", + "./188849040_TEMPO_O3TOT_L2_V04_20240805T190727Z_S011G03_subsetted.nc\n", + "./188849041_TEMPO_O3TOT_L2_V04_20240805T200727Z_S012G03_subsetted.nc\n", + "./188849042_TEMPO_O3TOT_L2_V04_20240805T210727Z_S013G03_subsetted.nc\n", + "./188849043_TEMPO_O3TOT_L2_V04_20240805T220727Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "188849030_TEMPO_O3TOT_L2_V04_20240805T104659Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122791 -76.364731 84.314 45.719 324.07 2 0.187\n", + " 10 841 37.103428 -76.369118 84.323 45.698 332.50 2 0.211\n", + " 11 840 37.121346 -76.421967 84.349 45.698 328.81 2 0.278\n", + " 11 841 37.101959 -76.426353 84.358 45.676 329.30 2 0.317\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-05 10:48:35.258821+00:00, O3tot col 3.2867e+02\n", + "188849031_TEMPO_O3TOT_L2_V04_20240805T112704Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.113995 -76.365814 76.576 45.711 305.30 0 0.134\n", + " 10 841 37.094620 -76.370193 76.583 45.690 304.44 0 0.156\n", + " 11 840 37.112011 -76.423325 76.612 45.689 304.91 0 0.248\n", + " 11 841 37.092625 -76.427696 76.619 45.668 304.60 0 0.242\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 11:28:37.228417+00:00, O3tot col 3.0481e+02\n", + "all qualities: averaged time 2024-08-05 11:28:37.228417+00:00, O3tot col 3.0481e+02\n", + "188849032_TEMPO_O3TOT_L2_V04_20240805T120709Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.107208 -76.342041 68.655 45.714 305.12 0 0.238\n", + " 9 842 37.087852 -76.346428 68.660 45.692 302.84 0 0.272\n", + " 10 841 37.105457 -76.399406 68.691 45.692 304.91 0 0.302\n", + " 10 842 37.086102 -76.403778 68.696 45.670 304.32 0 0.319\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 12:08:42.229509+00:00, O3tot col 3.0430e+02\n", + "all qualities: averaged time 2024-08-05 12:08:42.229509+00:00, O3tot col 3.0430e+02\n", + "188849033_TEMPO_O3TOT_L2_V04_20240805T124714Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.119492 -76.361092 60.693 45.720 304.15 0 0.225\n", + " 10 841 37.100124 -76.365486 60.696 45.699 304.63 0 0.212\n", + " 11 840 37.118019 -76.418045 60.728 45.698 302.24 0 0.241\n", + " 11 841 37.098640 -76.422432 60.731 45.677 303.65 0 0.234\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 12:48:47.230865+00:00, O3tot col 3.0367e+02\n", + "all qualities: averaged time 2024-08-05 12:48:47.230865+00:00, O3tot col 3.0367e+02\n", + "188849034_TEMPO_O3TOT_L2_V04_20240805T132719Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110558 -76.362007 52.727 45.710 303.91 0 0.052\n", + " 10 842 37.091190 -76.366402 52.728 45.689 303.43 0 0.068\n", + " 11 841 37.109119 -76.420189 52.763 45.688 303.76 0 0.062\n", + " 11 842 37.089733 -76.424576 52.764 45.667 303.52 0 0.069\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 13:28:52.232924+00:00, O3tot col 3.0365e+02\n", + "all qualities: averaged time 2024-08-05 13:28:52.232924+00:00, O3tot col 3.0365e+02\n", + "188849035_TEMPO_O3TOT_L2_V04_20240805T140727Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.106651 -76.381111 44.894 45.698 305.35 0 0.000\n", + " 10 842 37.087280 -76.385506 44.893 45.677 303.91 0 0.006\n", + " 11 841 37.105522 -76.438248 44.928 45.677 305.33 0 0.000\n", + " 11 842 37.086178 -76.442619 44.927 45.656 302.70 0 0.005\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 14:08:57.235066+00:00, O3tot col 3.0432e+02\n", + "all qualities: averaged time 2024-08-05 14:08:57.235066+00:00, O3tot col 3.0432e+02\n", + "188849036_TEMPO_O3TOT_L2_V04_20240805T150727Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.104317 -76.365280 33.759 45.699 300.80 0 0.161\n", + " 10 842 37.084953 -76.369675 33.753 45.677 301.26 0 0.164\n", + " 11 841 37.102783 -76.421989 33.789 45.677 304.51 0 0.054\n", + " 11 842 37.083393 -76.426392 33.783 45.656 301.30 0 0.110\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 15:08:57.230800+00:00, O3tot col 3.0197e+02\n", + "all qualities: averaged time 2024-08-05 15:08:57.230800+00:00, O3tot col 3.0197e+02\n", + "188849037_TEMPO_O3TOT_L2_V04_20240805T160727Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.109219 -76.357895 24.583 45.702 310.64 128 0.069\n", + " 10 842 37.089863 -76.362289 24.570 45.681 303.72 0 0.067\n", + " 11 841 37.108315 -76.414055 24.604 45.681 306.32 0 0.143\n", + " 11 842 37.088951 -76.418442 24.591 45.660 302.64 0 0.114\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 16:08:57.732773+00:00, O3tot col 3.0423e+02\n", + "all qualities: averaged time 2024-08-05 16:08:57.732773+00:00, O3tot col 3.0423e+02\n", + "188849039_TEMPO_O3TOT_L2_V04_20240805T180727Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.118816 -76.346237 24.106 45.704 302.06 0 0.000\n", + " 10 841 37.099468 -76.350632 24.088 45.683 303.54 0 0.000\n", + " 11 840 37.117378 -76.403488 24.084 45.682 302.43 0 0.000\n", + " 11 841 37.098019 -76.407860 24.066 45.661 303.45 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 18:08:57.236366+00:00, O3tot col 3.0287e+02\n", + "all qualities: averaged time 2024-08-05 18:08:57.236366+00:00, O3tot col 3.0287e+02\n", + "188849038_TEMPO_O3TOT_L2_V04_20240805T170727Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.122437 -76.328362 20.433 45.721 306.88 0 0.000\n", + " 9 842 37.103085 -76.332756 20.414 45.699 306.64 0 0.000\n", + " 10 841 37.120369 -76.386162 20.432 45.698 307.30 0 0.000\n", + " 10 842 37.101002 -76.390556 20.413 45.676 305.49 0 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 17:08:57.240894+00:00, O3tot col 3.0658e+02\n", + "all qualities: averaged time 2024-08-05 17:08:57.240894+00:00, O3tot col 3.0658e+02\n", + "188849040_TEMPO_O3TOT_L2_V04_20240805T190727Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115398 -76.378204 33.048 45.682 301.12 0 0.000\n", + " 10 842 37.096043 -76.382591 33.035 45.661 299.43 0 0.000\n", + " 11 841 37.113636 -76.435562 33.016 45.660 297.25 0 0.164\n", + " 11 842 37.094311 -76.439911 33.004 45.639 297.83 0 0.073\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 19:09:00.269620+00:00, O3tot col 2.9891e+02\n", + "all qualities: averaged time 2024-08-05 19:09:00.269620+00:00, O3tot col 2.9891e+02\n", + "188849041_TEMPO_O3TOT_L2_V04_20240805T200727Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.119118 -76.367737 44.103 45.683 297.55 0 0.155\n", + " 10 842 37.099770 -76.372124 44.094 45.662 295.09 0 0.164\n", + " 11 841 37.117439 -76.425163 44.068 45.661 297.51 0 0.237\n", + " 11 842 37.098061 -76.429543 44.059 45.640 296.30 0 0.266\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 20:09:00.266845+00:00, O3tot col 2.9661e+02\n", + "all qualities: averaged time 2024-08-05 20:09:00.266845+00:00, O3tot col 2.9661e+02\n", + "188849042_TEMPO_O3TOT_L2_V04_20240805T210727Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.115887 -76.370605 55.880 45.673 297.35 0 0.401\n", + " 10 842 37.096535 -76.374985 55.875 45.651 297.59 0 0.445\n", + " 11 841 37.113853 -76.426636 55.846 45.651 299.28 0 0.440\n", + " 11 842 37.094494 -76.431007 55.841 45.629 296.94 0 0.482\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 21:09:00.267698+00:00, O3tot col 2.9779e+02\n", + "all qualities: averaged time 2024-08-05 21:09:00.267698+00:00, O3tot col 2.9779e+02\n", + "188849043_TEMPO_O3TOT_L2_V04_20240805T220727Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 842 37.108261 -76.352242 67.852 45.667 295.16 0 0.302\n", + " 10 843 37.088917 -76.356621 67.850 45.645 293.77 0 0.243\n", + " 11 842 37.107338 -76.408897 67.817 45.646 296.99 0 0.424\n", + " 11 843 37.087994 -76.413261 67.815 45.624 296.68 0 0.450\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-05 22:09:00.263739+00:00, O3tot col 2.9565e+02\n", + "all qualities: averaged time 2024-08-05 22:09:00.263739+00:00, O3tot col 2.9565e+02\n", + "jobID = 2f16878f-a6e1-48e7-b55d-87d284498ea5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188849204_TEMPO_O3TOT_L2_V04_20240806T104714Z_S001G03_subsetted.nc\n", + "./188849205_TEMPO_O3TOT_L2_V04_20240806T112719Z_S002G03_subsetted.nc\n", + "./188849206_TEMPO_O3TOT_L2_V04_20240806T120724Z_S003G03_subsetted.nc\n", + "./188849207_TEMPO_O3TOT_L2_V04_20240806T124729Z_S004G03_subsetted.nc\n", + "./188849209_TEMPO_O3TOT_L2_V04_20240806T140742Z_S006G03_subsetted.nc\n", + "./188849208_TEMPO_O3TOT_L2_V04_20240806T132734Z_S005G03_subsetted.nc\n", + "./188849210_TEMPO_O3TOT_L2_V04_20240806T150742Z_S007G03_subsetted.nc\n", + "./188849211_TEMPO_O3TOT_L2_V04_20240806T160742Z_S008G03_subsetted.nc\n", + "./188849214_TEMPO_O3TOT_L2_V04_20240806T190742Z_S011G03_subsetted.nc\n", + "./188849213_TEMPO_O3TOT_L2_V04_20240806T180742Z_S010G03_subsetted.nc\n", + "./188849212_TEMPO_O3TOT_L2_V04_20240806T170742Z_S009G03_subsetted.nc\n", + "./188849216_TEMPO_O3TOT_L2_V04_20240806T210742Z_S013G03_subsetted.nc\n", + "./188849215_TEMPO_O3TOT_L2_V04_20240806T200742Z_S012G03_subsetted.nc\n", + "Number of result files: 13\n", + "188849204_TEMPO_O3TOT_L2_V04_20240806T104714Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.112228 -76.375679 84.413 45.709 323.34 2 0.000\n", + " 10 842 37.092846 -76.380074 84.422 45.687 318.12 2 0.000\n", + " 11 841 37.110722 -76.432121 84.447 45.687 309.37 2 0.000\n", + " 11 842 37.091362 -76.436485 84.456 45.666 314.86 2 0.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-06 10:48:53.295654+00:00, O3tot col 3.1642e+02\n", + "188849205_TEMPO_O3TOT_L2_V04_20240806T112719Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.107124 -76.347862 76.642 45.715 295.18 0 0.132\n", + " 10 842 37.087761 -76.352242 76.649 45.693 293.91 0 0.109\n", + " 11 841 37.105492 -76.404884 76.677 45.693 290.51 0 0.100\n", + " 11 842 37.086132 -76.409248 76.684 45.672 294.18 0 0.141\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 11:28:55.266162+00:00, O3tot col 2.9345e+02\n", + "all qualities: averaged time 2024-08-06 11:28:55.266162+00:00, O3tot col 2.9345e+02\n", + "188849206_TEMPO_O3TOT_L2_V04_20240806T120724Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116619 -76.372025 68.741 45.717 290.35 0 0.082\n", + " 10 842 37.097248 -76.376404 68.746 45.696 288.96 0 0.076\n", + " 11 841 37.115589 -76.429710 68.777 45.695 289.13 0 0.122\n", + " 11 842 37.096233 -76.434082 68.782 45.674 288.32 0 0.128\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 12:09:03.302426+00:00, O3tot col 2.8919e+02\n", + "all qualities: averaged time 2024-08-06 12:09:03.302426+00:00, O3tot col 2.8919e+02\n", + "188849207_TEMPO_O3TOT_L2_V04_20240806T124729Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.117184 -76.349503 60.755 45.726 287.24 0 0.063\n", + " 10 842 37.097813 -76.353912 60.758 45.704 286.98 0 0.056\n", + " 11 841 37.115501 -76.406662 60.790 45.704 287.15 0 0.026\n", + " 11 842 37.096134 -76.411041 60.793 45.682 285.55 0 0.003\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 12:49:05.271496+00:00, O3tot col 2.8673e+02\n", + "all qualities: averaged time 2024-08-06 12:49:05.271496+00:00, O3tot col 2.8673e+02\n", + "188849209_TEMPO_O3TOT_L2_V04_20240806T140742Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.122261 -76.360542 44.967 45.725 289.22 0 0.040\n", + " 10 841 37.102894 -76.364937 44.965 45.704 292.66 0 0.019\n", + " 11 840 37.121193 -76.417084 45.000 45.704 290.21 0 0.006\n", + " 11 841 37.101822 -76.421471 44.999 45.683 292.11 0 0.005\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 14:09:15.257157+00:00, O3tot col 2.9105e+02\n", + "all qualities: averaged time 2024-08-06 14:09:15.257157+00:00, O3tot col 2.9105e+02\n", + "188849208_TEMPO_O3TOT_L2_V04_20240806T132734Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.118473 -76.345238 52.789 45.728 287.01 0 0.177\n", + " 10 842 37.099113 -76.349640 52.790 45.707 285.37 0 0.106\n", + " 11 841 37.117195 -76.402321 52.824 45.707 287.19 0 0.243\n", + " 11 842 37.097824 -76.406708 52.825 45.685 286.23 0 0.227\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 13:29:10.273142+00:00, O3tot col 2.8645e+02\n", + "all qualities: averaged time 2024-08-06 13:29:10.273142+00:00, O3tot col 2.8645e+02\n", + "188849210_TEMPO_O3TOT_L2_V04_20240806T150742Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.113491 -76.363838 33.881 45.712 289.68 0 0.146\n", + " 10 841 37.094124 -76.368233 33.874 45.690 291.77 0 0.085\n", + " 11 840 37.112278 -76.421333 33.911 45.690 298.45 128 0.110\n", + " 11 841 37.092892 -76.425728 33.905 45.669 292.32 0 0.020\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 15:09:14.764585+00:00, O3tot col 2.9126e+02\n", + "all qualities: averaged time 2024-08-06 15:09:14.764585+00:00, O3tot col 2.9126e+02\n", + "188849211_TEMPO_O3TOT_L2_V04_20240806T160742Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.116299 -76.380920 24.781 45.704 286.36 0 0.262\n", + " 10 842 37.096931 -76.385323 24.768 45.682 287.00 0 0.355\n", + " 11 841 37.114071 -76.438293 24.802 45.681 287.16 0 0.210\n", + " 11 842 37.094742 -76.442650 24.788 45.660 287.72 0 0.266\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 16:09:18.296750+00:00, O3tot col 2.8706e+02\n", + "all qualities: averaged time 2024-08-06 16:09:18.296750+00:00, O3tot col 2.8706e+02\n", + "188849214_TEMPO_O3TOT_L2_V04_20240806T190742Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.110062 -76.377945 33.311 45.677 312.64 4224 1.000\n", + " 10 842 37.090702 -76.382332 33.298 45.656 304.64 4224 1.000\n", + " 11 841 37.108150 -76.435303 33.279 45.655 288.68 4096 0.830\n", + " 11 842 37.088806 -76.439667 33.266 45.634 287.33 4096 0.800\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188849213_TEMPO_O3TOT_L2_V04_20240806T180742Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.116913 -76.342636 24.397 45.705 331.70 4228 1.000\n", + " 10 841 37.097572 -76.347023 24.379 45.683 335.60 4228 1.000\n", + " 11 840 37.114849 -76.399635 24.375 45.682 332.40 4228 1.000\n", + " 11 841 37.095486 -76.404007 24.357 45.661 340.52 4228 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "188849212_TEMPO_O3TOT_L2_V04_20240806T170742Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.105316 -76.385170 20.692 45.685 290.35 0 0.402\n", + " 10 842 37.085957 -76.389565 20.673 45.663 290.48 0 0.364\n", + " 11 841 37.103142 -76.443260 20.691 45.662 291.07 0 0.335\n", + " 11 842 37.083813 -76.447617 20.672 45.641 290.92 0 0.287\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 17:09:18.295261+00:00, O3tot col 2.9070e+02\n", + "all qualities: averaged time 2024-08-06 17:09:18.295261+00:00, O3tot col 2.9070e+02\n", + "188849216_TEMPO_O3TOT_L2_V04_20240806T210742Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 841 37.108044 -76.362091 56.125 45.667 286.23 0 0.000\n", + " 10 842 37.088699 -76.366470 56.120 45.646 284.56 0 0.083\n", + " 11 841 37.106110 -76.419533 56.089 45.645 286.24 0 0.000\n", + " 11 842 37.086739 -76.423912 56.084 45.623 284.65 0 0.041\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 21:09:18.303143+00:00, O3tot col 2.8542e+02\n", + "all qualities: averaged time 2024-08-06 21:09:18.303143+00:00, O3tot col 2.8542e+02\n", + "188849215_TEMPO_O3TOT_L2_V04_20240806T200742Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 840 37.115925 -76.361542 44.353 45.682 288.69 0 0.311\n", + " 10 841 37.096573 -76.365929 44.344 45.660 289.42 0 0.283\n", + " 11 840 37.114319 -76.418793 44.318 45.660 288.67 0 0.341\n", + " 11 841 37.094952 -76.423172 44.310 45.638 288.68 0 0.344\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-06 20:09:18.306414+00:00, O3tot col 2.8887e+02\n", + "all qualities: averaged time 2024-08-06 20:09:18.306414+00:00, O3tot col 2.8887e+02\n", + "jobID = 9373a406-f862-4bce-bf56-4b2e70324e23\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./188849277_TEMPO_O3TOT_L2_V04_20240807T112733Z_S002G03_subsetted.nc\n", + "./188849276_TEMPO_O3TOT_L2_V04_20240807T104728Z_S001G03_subsetted.nc\n", + "./188849279_TEMPO_O3TOT_L2_V04_20240807T124743Z_S004G03_subsetted.nc\n", + "./188849281_TEMPO_O3TOT_L2_V04_20240807T140756Z_S006G03_subsetted.nc\n", + "./188849278_TEMPO_O3TOT_L2_V04_20240807T120738Z_S003G03_subsetted.nc\n", + "./188849280_TEMPO_O3TOT_L2_V04_20240807T132748Z_S005G03_subsetted.nc\n", + "./188849285_TEMPO_O3TOT_L2_V04_20240807T180756Z_S010G03_subsetted.nc\n", + "./188849284_TEMPO_O3TOT_L2_V04_20240807T170756Z_S009G03_subsetted.nc\n", + "./188849286_TEMPO_O3TOT_L2_V04_20240807T190756Z_S011G03_subsetted.nc\n", + "./188849283_TEMPO_O3TOT_L2_V04_20240807T160756Z_S008G03_subsetted.nc\n", + "./188849282_TEMPO_O3TOT_L2_V04_20240807T150756Z_S007G03_subsetted.nc\n", + "./188849287_TEMPO_O3TOT_L2_V04_20240807T200756Z_S012G03_subsetted.nc\n", + "./188849289_TEMPO_O3TOT_L2_V04_20240807T220756Z_S014G03_subsetted.nc\n", + "./188849288_TEMPO_O3TOT_L2_V04_20240807T210756Z_S013G03_subsetted.nc\n", + "Number of result files: 14\n", + "188849277_TEMPO_O3TOT_L2_V04_20240807T112733Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 840 37.117592 -76.334511 76.722 45.733 299.35 0 1.000\n", + " 9 841 37.098244 -76.338882 76.729 45.712 300.15 0 0.893\n", + " 10 840 37.116009 -76.390335 76.756 45.712 299.95 0 1.000\n", + " 10 841 37.096653 -76.394691 76.763 45.691 301.41 0 1.000\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-07 11:29:09.266722+00:00, O3tot col 3.0021e+02\n", + "188849276_TEMPO_O3TOT_L2_V04_20240807T104728Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 841 37.120506 -76.326508 84.484 45.738 325.16 2 0.241\n", + " 9 842 37.101173 -76.330902 84.493 45.716 321.72 2 0.505\n", + " 10 841 37.118958 -76.384163 84.519 45.716 326.02 2 0.210\n", + " 10 842 37.099602 -76.388542 84.528 45.694 321.25 2 0.230\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-07 10:49:04.263623+00:00, O3tot col 3.2354e+02\n", + "188849279_TEMPO_O3TOT_L2_V04_20240807T124743Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 831 37.112495 -76.369438 60.856 45.717 288.69 0 0.648\n", + " 10 832 37.093124 -76.373802 60.859 45.695 289.55 0 0.702\n", + " 11 831 37.110661 -76.426865 60.892 45.694 289.34 0 0.730\n", + " 11 832 37.091293 -76.431206 60.895 45.673 288.89 0 0.768\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-07 12:49:19.270550+00:00, O3tot col 2.8912e+02\n", + "188849281_TEMPO_O3TOT_L2_V04_20240807T140756Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 816 37.108349 -76.382423 45.079 45.705 289.60 0 0.768\n", + " 10 817 37.088982 -76.386772 45.077 45.684 291.71 0 0.808\n", + " 11 816 37.107193 -76.440292 45.114 45.684 289.37 0 0.710\n", + " 11 817 37.087856 -76.444611 45.112 45.662 290.75 0 0.759\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-07 14:09:29.258119+00:00, O3tot col 2.9036e+02\n", + "188849278_TEMPO_O3TOT_L2_V04_20240807T120738Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 838 37.117165 -76.343018 68.815 45.731 292.02 0 0.603\n", + " 10 839 37.097813 -76.347382 68.820 45.709 292.82 0 0.791\n", + " 11 838 37.115124 -76.400200 68.850 45.708 292.82 0 0.592\n", + " 11 839 37.095749 -76.404549 68.855 45.687 293.17 0 0.737\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-07 12:09:14.268645+00:00, O3tot col 2.9271e+02\n", + "188849280_TEMPO_O3TOT_L2_V04_20240807T132748Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 824 37.114300 -76.379974 52.905 45.714 288.45 0 0.714\n", + " 10 825 37.094929 -76.384338 52.906 45.692 288.75 0 0.713\n", + " 11 824 37.112507 -76.437370 52.940 45.692 287.58 0 0.705\n", + " 11 825 37.093170 -76.441689 52.941 45.670 290.00 0 0.751\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-07 13:29:24.254622+00:00, O3tot col 2.8869e+02\n", + "188849285_TEMPO_O3TOT_L2_V04_20240807T180756Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 797 37.106071 -76.343254 24.682 45.692 296.32 0 0.084\n", + " 10 798 37.086731 -76.347633 24.664 45.671 296.59 0 0.120\n", + " 11 797 37.104141 -76.399780 24.660 45.670 294.49 0 0.199\n", + " 11 798 37.084805 -76.404129 24.642 45.649 294.84 0 0.210\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-07 18:09:32.291105+00:00, O3tot col 2.9556e+02\n", + "all qualities: averaged time 2024-08-07 18:09:32.291105+00:00, O3tot col 2.9556e+02\n", + "188849284_TEMPO_O3TOT_L2_V04_20240807T170756Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 798 37.106739 -76.359200 20.974 45.695 301.14 0 0.000\n", + " 10 799 37.087395 -76.363571 20.955 45.674 298.26 0 0.034\n", + " 11 798 37.105026 -76.416595 20.973 45.673 298.67 0 0.032\n", + " 11 799 37.085651 -76.420959 20.954 45.652 297.69 0 0.077\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-07 17:09:32.292275+00:00, O3tot col 2.9894e+02\n", + "all qualities: averaged time 2024-08-07 17:09:32.292275+00:00, O3tot col 2.9894e+02\n", + "188849286_TEMPO_O3TOT_L2_V04_20240807T190756Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 801 37.117382 -76.350983 33.600 45.693 297.24 0 0.333\n", + " 10 802 37.098030 -76.355377 33.588 45.672 296.24 0 0.240\n", + " 11 801 37.115822 -76.409172 33.568 45.671 297.26 0 0.286\n", + " 11 802 37.096474 -76.413544 33.555 45.649 295.86 0 0.210\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-07 19:09:35.338381+00:00, O3tot col 2.9665e+02\n", + "all qualities: averaged time 2024-08-07 19:09:35.338381+00:00, O3tot col 2.9665e+02\n", + "188849283_TEMPO_O3TOT_L2_V04_20240807T160756Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 802 37.117161 -76.368057 24.982 45.710 293.14 0 0.346\n", + " 10 803 37.097805 -76.372421 24.969 45.688 292.94 0 0.366\n", + " 11 802 37.115631 -76.424278 25.002 45.688 293.76 0 0.336\n", + " 11 803 37.096245 -76.428642 24.989 45.667 291.91 0 0.432\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-07 16:09:29.263538+00:00, O3tot col 2.9294e+02\n", + "all qualities: averaged time 2024-08-07 16:09:29.263538+00:00, O3tot col 2.9294e+02\n", + "188849282_TEMPO_O3TOT_L2_V04_20240807T150756Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 808 37.122635 -76.353615 34.011 45.726 289.39 0 0.499\n", + " 10 809 37.103279 -76.357986 34.004 45.705 290.63 0 0.544\n", + " 11 808 37.121674 -76.410774 34.041 45.705 290.79 0 0.556\n", + " 11 809 37.102314 -76.415123 34.035 45.683 291.49 0 0.540\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-07 15:09:27.753458+00:00, O3tot col 2.8939e+02\n", + "all qualities: averaged time 2024-08-07 15:09:29.269986+00:00, O3tot col 2.9057e+02\n", + "188849287_TEMPO_O3TOT_L2_V04_20240807T200756Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 9 806 37.123589 -76.337631 44.612 45.696 297.93 0 0.866\n", + " 9 807 37.104240 -76.342033 44.603 45.675 297.37 0 0.806\n", + " 10 806 37.122482 -76.394241 44.578 45.675 293.00 0 0.768\n", + " 10 807 37.103130 -76.398621 44.569 45.654 295.82 0 0.831\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-07 20:09:32.287605+00:00, O3tot col 2.9603e+02\n", + "188849289_TEMPO_O3TOT_L2_V04_20240807T220756Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 829 37.110924 -76.351677 68.321 45.666 289.62 0 0.310\n", + " 10 830 37.091576 -76.356064 68.319 45.644 292.24 0 0.379\n", + " 11 829 37.109474 -76.408150 68.286 45.644 289.93 0 0.084\n", + " 11 830 37.090137 -76.412521 68.284 45.623 287.37 0 0.047\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 2024-08-07 22:09:32.302926+00:00, O3tot col 2.8979e+02\n", + "all qualities: averaged time 2024-08-07 22:09:32.302926+00:00, O3tot col 2.8979e+02\n", + "188849288_TEMPO_O3TOT_L2_V04_20240807T210756Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude SZA VZA totO3_col O3_QF eff_CF\n", + " 10 815 37.119331 -76.359917 56.358 45.677 292.31 0 0.607\n", + " 10 816 37.099987 -76.364304 56.353 45.656 295.27 0 0.668\n", + " 11 815 37.117847 -76.416290 56.323 45.656 294.81 0 0.837\n", + " 11 816 37.098499 -76.420670 56.318 45.634 295.50 0 0.798\n", + "POI HamptonVA at 37.1036 -76.3868 found\n", + "High quality: averaged time 1980-01-06 00:00:00.100000+00:00, O3tot col -1.0000e+00\n", + "all qualities: averaged time 2024-08-07 21:09:32.302296+00:00, O3tot col 2.9447e+02\n" + ] + } + ], + "source": [ + "fout_HiQ = open(\n", + " out_Q\n", + " + \"_HiQ_\"\n", + " + datestamp_ini\n", + " + \"_\"\n", + " + datestamp_fin\n", + " + \"_\"\n", + " + POI_name_\n", + " + \"_\"\n", + " + str(\"%08.4fN_%08.4fW.txt\" % (POI[0], -POI[1])),\n", + " \"w\",\n", + ")\n", + "fout_HiQ.write(\n", + " \"timeseries of \"\n", + " + out_Q\n", + " + \" at \"\n", + " + POI_name\n", + " + \" \"\n", + " + str(\"%08.4fN %08.4fW\" % (POI[0], -POI[1]))\n", + " + \"\\n\"\n", + ")\n", + "fout_HiQ.write(\"yyyy mm dd hh mn ss \" + out_Q_unit + \"\\n\")\n", + "\n", + "fout_AllQ = open(\n", + " out_Q\n", + " + \"_AllQ_\"\n", + " + datestamp_ini\n", + " + \"_\"\n", + " + datestamp_fin\n", + " + \"_\"\n", + " + POI_name_\n", + " + \"_\"\n", + " + str(\"%08.4fN_%08.4fW.txt\" % (POI[0], -POI[1])),\n", + " \"w\",\n", + ")\n", + "fout_AllQ.write(\n", + " \"timeseries of \"\n", + " + out_Q\n", + " + \" at \"\n", + " + POI_name\n", + " + \" \"\n", + " + str(\"%08.4fN %08.4fW\" % (POI[0], -POI[1]))\n", + " + \"\\n\"\n", + ")\n", + "fout_AllQ.write(\"yyyy mm dd hh mn ss \" + out_Q_unit + \"\\n\")\n", + "for day in days:\n", + " request = Request(collection=Collection(id=collectionID)\n", + " , granule_name=day\n", + " , variables=['product/column_amount_o3'\n", + " ,'product/quality_flag'\n", + " ,'product/fc'\n", + " ,'geolocation/time'\n", + " ,'geolocation/latitude'\n", + " ,'geolocation/longitude'\n", + " ,'geolocation/solar_zenith_angle'\n", + " ,'geolocation/viewing_zenith_angle']\n", + " , spatial = BBox(POI[1] - .5, POI[0] - .5, POI[1] + .5, POI[0] + .5))\n", + " job_id = harmony_client.submit(request)\n", + " print(f'jobID = {job_id}')\n", + " harmony_client.wait_for_processing(job_id, show_progress=True)\n", + "# Download the resulting files\n", + " results = harmony_client.download_all(job_id, directory='./', overwrite=True)\n", + " all_results_stored = [f.result() for f in results]\n", + " print(f\"Number of result files: {len(all_results_stored)}\")\n", + " for res in all_results_stored:\n", + " fn = res.split('/')[-1]\n", + " print(fn)\n", + " lat_loc, lon_loc,SZA_loc, VZA_loc\\\n", + " , total_O3_column_loc, total_O3_column_QF_loc, eff_CF_loc\\\n", + " , avg_time_HiQ, total_O3_column_HiQ\\\n", + " , avg_time_AllQ, total_O3_column_AllQ = get_local_O3tot(POI, fn)\n", + "\n", + "# os.remove(fn)\n", + "\n", + " print(f'High quality: averaged time {glp.gps_millis_to_datetime(avg_time_HiQ*1.e+3)}, O3tot col {total_O3_column_HiQ:11.4e}')\n", + " print(f'all qualities: averaged time {glp.gps_millis_to_datetime(avg_time_AllQ*1.e+3)}, O3tot col {total_O3_column_AllQ:11.4e}')\n", + "\n", + "# uncertainty of the ozone column. Set to zero just to have it in the output file to streamline reading of timeseries and keep the code similar to other TEMPO vs. Pandora notebooks\n", + " total_O3_column_unc = 0.\n", + " if avg_time_HiQ > 1.:\n", + " datetime_HiQ = glp.gps_millis_to_datetime(avg_time_HiQ*1.e+3)\n", + " fout_HiQ.write(f'{datetime_HiQ.strftime(\"%Y-%m-%d %H:%M:%S.%f\")} {total_O3_column_HiQ:8.3f} {total_O3_column_unc:3.1f}')\n", + " for m in range(4):\n", + " fout_HiQ.write(f'{lat_loc[m]:9.4f}N {-lon_loc[m]:9.4f}W {total_O3_column_loc[m]:8.3f} {total_O3_column_QF_loc[m]:5d}')\n", + " fout_HiQ.write('\\n')\n", + "\n", + " if avg_time_AllQ > 1.: \n", + " datetime_AllQ = glp.gps_millis_to_datetime(avg_time_AllQ*1.e+3)\n", + " fout_AllQ.write(f'{datetime_AllQ.strftime(\"%Y-%m-%d %H:%M:%S.%f\")} {total_O3_column_AllQ:8.3f} {total_O3_column_unc:3.1f}')\n", + " for m in range(4):\n", + " fout_AllQ.write(f'{lat_loc[m]:9.4f}N {-lon_loc[m]:9.4f}W {total_O3_column_loc[m]:11.4e} {total_O3_column_QF_loc[m]:5d}')\n", + " fout_AllQ.write('\\n')\n", + "\n", + "fout_HiQ.close()\n", + "fout_AllQ.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "xaRNZa_4bl11" + }, + "source": [ + "# 7 Plotting the results" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XglvHW3AbfFl" + }, + "source": [ + "## 7.1 Reading created data files for TEMPO, create timeseries" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 141 + }, + "id": "a9Dx6KZ649_L", + "outputId": "12a5e342-7bd2-4996-d5d2-3972ccc9e854" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TEMPO High Quality and All Qualities are different\n" + ] + } + ], + "source": [ + "ts_fname_HiQ = out_Q+'_HiQ_'+datestamp_ini+'_'+datestamp_fin+'_'+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1]))\n", + "ts_fname_AllQ = out_Q+'_AllQ_'+datestamp_ini+'_'+datestamp_fin+'_'+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1]))\n", + "\n", + "time_series_TEMPO_HiQ, dt0, dt_fin = read_timeseries(ts_fname_HiQ, yyyy_ini, mm_ini, dd_ini, yyyy_fin, mm_fin, dd_fin)\n", + "time_series_TEMPO_AllQ, dt0, dt_fin = read_timeseries(ts_fname_AllQ, yyyy_ini, mm_ini, dd_ini, yyyy_fin, mm_fin, dd_fin)\n", + "\n", + "if len(time_series_TEMPO_HiQ) == 0:\n", + " print('High Quality TEMPO time series is empty')\n", + "if len(time_series_TEMPO_AllQ) == 0:\n", + " print('All Qualities TEMPO time series is empty')\n", + "\n", + "if len(time_series_TEMPO_HiQ) == len(time_series_TEMPO_AllQ):\n", + " print('\\nTEMPO High Quality and All Qualities are of equal length')\n", + " nt = len(time_series_TEMPO_HiQ)\n", + " equal = True\n", + " for i in range(nt):\n", + " if time_series_TEMPO_HiQ[i,1] != time_series_TEMPO_AllQ[i,1]:\n", + " equal = False\n", + " break\n", + "else: \n", + " equal = False\n", + "\n", + "if equal: \n", + " print('TEMPO High Quality and All Qualities are the same')\n", + "else: \n", + " print('TEMPO High Quality and All Qualities are different')\n", + "\n", + "if len(time_series_TEMPO_AllQ) == 0 and len(time_series_TEMPO_HiQ) == 0:\n", + " print(\"TEMPO timeseries does not have data. STOP\")\n", + " sys.exit()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "T-VnnPkirdLr" + }, + "source": [ + "## 7.2 reading saved DSCOVR timeseries" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "id": "nWFAc4dF5Pbz" + }, + "outputs": [], + "source": [ + "ts_fname_DSCOVR = out_Q_EPIC + \"_\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name_ + \"_\" + str(\"%08.4fN_%08.4fW.txt\" % (POI[0], -POI[1]))\n", + "time_series_DSCOVR, dt0, dt_fin = read_timeseries(ts_fname_DSCOVR, yyyy_ini, mm_ini, dd_ini, yyyy_fin, mm_fin, dd_fin)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "O8JvXRRcwT9O" + }, + "source": [ + "## 7.3 reading saved Pandora timeseries" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "id": "qW-Ovmw-sRz0" + }, + "outputs": [], + "source": [ + "ts_fname_Pandora = out_Q_Pandora + \"_\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name_ + \"_\" + str(\"%08.4fN_%08.4fW.txt\" % (POI[0], -POI[1]))\n", + "time_series_Pandora, dt0, dt_fin = read_timeseries(ts_fname_Pandora, yyyy_ini, mm_ini, dd_ini, yyyy_fin, mm_fin, dd_fin)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NGXMMgcNcMb4" + }, + "source": [ + "## 7.4 Plotting timeseries" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WEkwDqvOccOK" + }, + "source": [ + "### 7.4.1 No error bars" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 497 + }, + "id": "YSPKI7W75XQP", + "outputId": "cc3074e0-98ca-4913-93b0-f0ce597675f7" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# No error bars\n", + "plot_title = \"O$_{3}$ total column \" + datestamp_ini + \" \" + datestamp_fin + \"\\n\" + POI_name\n", + "img_name = \"O3_tot_col_\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name + \".jpg\"\n", + "\n", + "plt.plot(\n", + " time_series_Pandora[:, 0],\n", + " time_series_Pandora[:, 1],\n", + " label=f\"Pandora, {len(time_series_Pandora)} points\",\n", + " c=\"r\",\n", + ")\n", + "plt.plot(\n", + " time_series_DSCOVR[:, 0],\n", + " time_series_DSCOVR[:, 1],\n", + " label=f\"DSCOVR, {len(time_series_DSCOVR)} points\",\n", + " c=\"g\",\n", + ")\n", + "plt.plot(\n", + " time_series_TEMPO_HiQ[:, 0],\n", + " time_series_TEMPO_HiQ[:, 1],\n", + " label=f\"TEMPO High QUality, {len(time_series_TEMPO_HiQ)} points\",\n", + " c=\"b\",\n", + " marker=\".\",\n", + " linestyle=\"\",\n", + " markersize=4,\n", + ")\n", + "plt.plot(\n", + " time_series_TEMPO_AllQ[:, 0],\n", + " time_series_TEMPO_AllQ[:, 1],\n", + " label=f\"TEMPO All Quality, {len(time_series_TEMPO_AllQ)} points\",\n", + " c=\"c\",\n", + " marker=\".\",\n", + " markersize=4,\n", + " linestyle=\"\",\n", + ")\n", + "\n", + "# Set the range of x-axis\n", + "l_lim = 0.0\n", + "u_lim = ((dt_fin - dt0).total_seconds() + 1.0) / 86400.0\n", + "plt.xlim(l_lim, u_lim)\n", + "\n", + "# some research is required to set the vertical range\n", + "# Set the range of y-axis\n", + "# l_lim = 275\n", + "# u_lim = 375\n", + "# plt.ylim(l_lim, u_lim)\n", + "\n", + "plt.xlabel(r\"GMT, day from beginning of \" + datestamp_ini, fontsize=12)\n", + "plt.ylabel(\"O$_{3}$ total column, \" + out_Q_unit, fontsize=12)\n", + "\n", + "plt.legend(loc=\"lower left\")\n", + "\n", + "plt.title(plot_title + str(\", %08.4fN %08.4fW\" % (POI[0], -POI[1])))\n", + "plt.savefig(img_name, format=\"jpg\", dpi=300)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QyhmWrUMXU5z" + }, + "source": [ + "### 7.4.2 Plotting TEMPO and smoothed Pandora retievals with error bars" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 549 + }, + "id": "bGWFi8VRGBmZ", + "outputId": "be88f6a2-8b77-4cf2-c2b7-e39fbf6bc51d", + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(437, 3)\n", + "(263, 3)\n", + "(351, 3)\n", + "(267, 3)\n", + "2.9 3.066e+02 5.71e+00 1.0000e+00\n", + "2.9 3.066e+02 5.71e+00\n", + "\n", + "3.5 3.048e+02 6.16e+00 1.0000e+00\n", + "3.5 3.048e+02 6.16e+00\n", + "\n", + "3.6 3.058e+02 6.33e+00 1.0000e+00\n", + "3.6 3.058e+02 6.33e+00\n", + "\n", + "3.6 3.088e+02 7.49e+00 1.0000e+00\n", + "3.6 3.088e+02 7.49e+00\n", + "\n", + "3.5 3.047e+02 5.58e+00 1.0000e+00\n", + "3.5 3.047e+02 5.58e+00\n", + "\n", + "3.6 3.089e+02 8.34e+00 1.0000e+00\n", + "3.6 3.089e+02 8.34e+00\n", + "\n", + "3.7 3.109e+02 8.79e+00 1.0000e+00\n", + "3.7 3.109e+02 8.79e+00\n", + 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3.703e+02 7.93e+00\n", + "\n", + "16.7 3.651e+02 9.07e+00 1.0000e+00\n", + "16.7 3.651e+02 9.07e+00\n", + "\n", + "16.8 3.689e+02 8.71e+00 1.0000e+00\n", + "16.8 3.689e+02 8.71e+00\n", + "\n", + "16.8 3.723e+02 7.95e+00 1.0000e+00\n", + "16.8 3.723e+02 7.95e+00\n", + "\n", + "16.9 3.663e+02 7.15e+00 1.0000e+00\n", + "16.9 3.663e+02 7.15e+00\n", + "\n", + "17.5 3.441e+02 1.49e+01 1.0000e+00\n", + "17.5 3.441e+02 1.49e+01\n", + "\n", + "17.6 3.395e+02 7.14e+00 1.0000e+00\n", + "17.6 3.395e+02 7.14e+00\n", + "\n", + "17.7 3.410e+02 8.66e+00 1.0000e+00\n", + "17.7 3.410e+02 8.66e+00\n", + "\n", + "17.7 3.433e+02 8.73e+00 1.0000e+00\n", + "17.7 3.433e+02 8.73e+00\n", + "\n", + "17.8 3.451e+02 8.38e+00 1.0000e+00\n", + "17.8 3.451e+02 8.38e+00\n", + "\n", + "17.8 3.400e+02 7.52e+00 1.0000e+00\n", + "17.8 3.400e+02 7.52e+00\n", + "\n", + "17.9 3.362e+02 6.58e+00 1.0000e+00\n", + "17.9 3.362e+02 6.58e+00\n", + "\n", + "17.9 3.311e+02 6.74e+00 2.7263e-01\n", + "17.9 3.309e+02 7.07e+00 7.2737e-01\n", + "17.9 3.309e+02 6.98e+00\n", + "\n", + "18.6 3.291e+02 6.76e+00 1.0000e+00\n", + "18.6 3.291e+02 6.76e+00\n", + "\n", + "18.6 3.287e+02 7.86e+00 1.0000e+00\n", + "18.6 3.287e+02 7.86e+00\n", + "\n", + "21.5 3.051e+02 7.89e+00 1.0000e+00\n", + "21.5 3.051e+02 7.89e+00\n", + "\n", + "21.8 3.210e+02 7.31e+00 8.0670e-01\n", + "21.8 3.211e+02 7.33e+00 1.9330e-01\n", + "21.8 3.210e+02 7.31e+00\n", + "\n", + "22.8 3.087e+02 8.00e+00 1.0000e+00\n", + "22.8 3.087e+02 8.00e+00\n", + "\n", + "23.8 3.108e+02 7.62e+00 1.0000e+00\n", + "23.8 3.108e+02 7.62e+00\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(time_series_Pandora.shape)\n", + "print(time_series_TEMPO_HiQ.shape)\n", + "print(time_series_TEMPO_AllQ.shape)\n", + "print(time_series_DSCOVR.shape)\n", + "\n", + "timeseries_Pandora_TEMPO_HiQ, data_subset_TEMPO_HiQ = gauss_interpolation(\n", + " time_series_Pandora[:, 0:3], time_series_TEMPO_HiQ[:, 0]\n", + ")\n", + "\n", + "timeseries_Pandora_TEMPO_AllQ, data_subset_TEMPO_AllQ = gauss_interpolation(\n", + " time_series_Pandora[:, 0:3], time_series_TEMPO_AllQ[:, 0]\n", + ")\n", + "\n", + "timeseries_Pandora_DSCOVR, data_subset_DSCOVR = gauss_interpolation(\n", + " time_series_Pandora[:, 0:3], time_series_DSCOVR[:, 0]\n", + ")\n", + "\n", + "if len(time_series_TEMPO_HiQ) > 0:\n", + " plot_title = (\n", + " \"O$_{3}$ total column w unc \" + datestamp_ini + \" \" + datestamp_fin + \"\\n\" + POI_name\n", + " )\n", + " img_name = (\n", + " \"O3_tot_col_HiQ_unc_\" + \"_\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name + \".jpg\"\n", + " )\n", + "\n", + " fig = plt.figure()\n", + "\n", + " plt.errorbar(\n", + " time_series_TEMPO_HiQ[:, 0],\n", + " time_series_TEMPO_HiQ[:, 1],\n", + " yerr=None,\n", + " label=\"TEMPO high quality\",\n", + " c=\"b\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + " )\n", + "\n", + " plt.errorbar(\n", + " timeseries_Pandora_TEMPO_HiQ[:, 0],\n", + " timeseries_Pandora_TEMPO_HiQ[:, 1],\n", + " yerr=timeseries_Pandora_TEMPO_HiQ[:, 2],\n", + " label=\"Pandora smoothed at TEMPO times\",\n", + " c=\"r\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + " )\n", + "\n", + " plt.errorbar(\n", + " time_series_DSCOVR[:, 0],\n", + " time_series_DSCOVR[:, 1],\n", + " yerr=None,\n", + " label=\"DSCOVR\",\n", + " c=\"c\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + " )\n", + "\n", + " plt.errorbar(\n", + " timeseries_Pandora_DSCOVR[:, 0],\n", + " timeseries_Pandora_DSCOVR[:, 1],\n", + " yerr=timeseries_Pandora_DSCOVR[:, 2],\n", + " label=\"Pandora smoothed at DSCOVR times\",\n", + " c=\"m\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + " )\n", + "\n", + " # Set the range of x-axis\n", + " l_lim = 0.0\n", + " u_lim = ((dt_fin - dt0).total_seconds() + 1.0) / 86400.0\n", + " plt.xlim(l_lim, u_lim)\n", + "\n", + " # Set the range of y-axis\n", + " # l_lim = 275\n", + " # u_lim = 375\n", + " # plt.ylim(l_lim, u_lim)\n", + "\n", + " plt.xlabel(r\"GMT, day from beginning of \" + datestamp_ini, fontsize=12)\n", + " plt.ylabel(\"O$_{3}$ total column, \" + out_Q_unit, fontsize=12)\n", + "\n", + " plt.legend(loc=\"lower left\")\n", + "\n", + " plt.title(plot_title + str(\", %08.4fN %08.4fW\" % (POI[0], -POI[1])))\n", + " plt.savefig(img_name, format=\"jpg\", dpi=300)\n", + "# plt.close()\n", + "\n", + "if len(time_series_TEMPO_AllQ) > 0:\n", + " plot_title = (\n", + " \"O$_{3}$ total column w unc \" + datestamp_ini + \" \" + datestamp_fin + \"\\n\" + POI_name\n", + " )\n", + " img_name = (\n", + " \"O3_tot_col_AllQ_unc_\" + \"_\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name + \".jpg\"\n", + " )\n", + "\n", + " fig = plt.figure()\n", + "\n", + " plt.errorbar(\n", + " time_series_TEMPO_AllQ[:, 0],\n", + " time_series_TEMPO_AllQ[:, 1],\n", + " yerr=None,\n", + " label=\"TEMPO all quality\",\n", + " c=\"b\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + " )\n", + "\n", + " plt.errorbar(\n", + " timeseries_Pandora_TEMPO_AllQ[:, 0],\n", + " timeseries_Pandora_TEMPO_AllQ[:, 1],\n", + " yerr=timeseries_Pandora_TEMPO_AllQ[:, 2],\n", + " label=\"Pandora smoothed at TEMPO times\",\n", + " c=\"r\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + " )\n", + "\n", + " plt.errorbar(\n", + " time_series_DSCOVR[:, 0],\n", + " time_series_DSCOVR[:, 1],\n", + " yerr=None,\n", + " label=\"DSCOVR\",\n", + " c=\"c\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + " )\n", + "\n", + " plt.errorbar(\n", + " timeseries_Pandora_DSCOVR[:, 0],\n", + " timeseries_Pandora_DSCOVR[:, 1],\n", + " yerr=timeseries_Pandora_DSCOVR[:, 2],\n", + " label=\"Pandora smoothed at DSCOVR times\",\n", + " c=\"m\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + " )\n", + "\n", + " # Set the range of x-axis\n", + " l_lim = 0.0\n", + " u_lim = ((dt_fin - dt0).total_seconds() + 1.0) / 86400.0\n", + " plt.xlim(l_lim, u_lim)\n", + "\n", + " # Set the range of y-axis\n", + " # l_lim = 275\n", + " # u_lim = 375\n", + " # plt.ylim(l_lim, u_lim)\n", + "\n", + " plt.xlabel(r\"GMT, day from beginning of \" + datestamp_ini, fontsize=12)\n", + " plt.ylabel(\"O$_{3}$ total column, \" + out_Q_unit, fontsize=12)\n", + "\n", + " plt.legend(loc=\"lower left\")\n", + "\n", + " plt.title(plot_title + str(\", %08.4fN %08.4fW\" % (POI[0], -POI[1])))\n", + " plt.savefig(img_name, format=\"jpg\", dpi=300)\n", + "# plt.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "E9-sFIpHzb-3" + }, + "source": [ + "## 7.5 Plotting scatter plots along with regressions" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "97vCXz3Ysv8e" + }, + "source": [ + "### 7.5.1 TEMPO" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 497 + }, + "id": "0xLsxFeZK4uC", + "outputId": "d38321ab-546c-4fa6-c64e-0cb300b91bce" + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "TEMPO_Pandora_scatter_HiQ = np.empty([0, 3])\n", + "for td in time_series_TEMPO_HiQ:\n", + " for pd in timeseries_Pandora_TEMPO_HiQ:\n", + " if td[0] == pd[0]:\n", + " TEMPO_Pandora_scatter_HiQ = np.append(\n", + " TEMPO_Pandora_scatter_HiQ, [[pd[1], td[1], pd[2]]], axis=0\n", + " )\n", + " break\n", + "\n", + "if len(TEMPO_Pandora_scatter_HiQ) == 0:\n", + " print(\n", + " \"TEMPO high quality and Pandora time series has less than 2 simultaneous measurements.\\n\"\n", + " + \"Potential cause for this problem is scarcity of TEMPO pixels with QF == 0.\\n\"\n", + " + \"The TEMPO science team recommends using only data with QF == 0.\\n\"\n", + " + \"Users may overcome the restriction on the quality flag set in section 6.3,\\n\"\n", + " + 'find \"total_O3_column_QF_loc == 0\" there. By doing so users assume risks of using low quality data.\\n'\n", + " + \"The problem of very scarse QF==0 pixels was previously documented.\\n\"\n", + " + \"There is nothing to plot here, this block is terminated.\\n\"\n", + " + \"Users may continue with DSCOVR EPIC vs. Pandora plot in the next section\"\n", + " )\n", + " sys.exit()\n", + "\n", + "regress = stats.linregress(TEMPO_Pandora_scatter_HiQ[:, 0], TEMPO_Pandora_scatter_HiQ[:, 1])\n", + "slope = regress.slope\n", + "intercept = regress.intercept\n", + "r2 = regress.rvalue**2\n", + "stderr = regress.stderr\n", + "intercept_stderr = regress.intercept_stderr\n", + "\n", + "success, slope_0intercept, r2_0intercept = regress_0intercept(\n", + " TEMPO_Pandora_scatter_HiQ[:, 0], TEMPO_Pandora_scatter_HiQ[:, 1]\n", + ")\n", + "\n", + "plot_title = (\n", + " \"O$_{3}$ total column, TEMPO HQ w unc \" + datestamp_ini + \"_\" + datestamp_fin + \"\\n\" + POI_name\n", + ")\n", + "img_name = (\n", + " \"TEMPO_HiQ_vs_Pandora_scatter_O3_tot_col_unc_\"\n", + " + datestamp_ini\n", + " + \"_\"\n", + " + datestamp_fin\n", + " + \"_\"\n", + " + POI_name\n", + " + \".jpg\"\n", + ")\n", + "\n", + "fig = plt.figure()\n", + "\n", + "plt.errorbar(\n", + " TEMPO_Pandora_scatter_HiQ[:, 0],\n", + " TEMPO_Pandora_scatter_HiQ[:, 1],\n", + " xerr=TEMPO_Pandora_scatter_HiQ[:, 2],\n", + " c=\"m\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + ")\n", + "\n", + "plt.xlabel(r\"Pandora O$_{3}$ column, DU\", fontsize=12)\n", + "plt.ylabel(r\"TEMPO O$_{3}$ column, DU\", fontsize=12)\n", + "\n", + "fig.text(\n", + " 0.15,\n", + " 0.725,\n", + " f\"# of points: {len(TEMPO_Pandora_scatter_HiQ):4d}\\nslope:{slope: 6.3f}$\\pm${stderr: 6.3f}\\nintercept: {intercept: 8.2e}$\\pm${intercept_stderr: 8.2e}\\nR$^{2}$ = {r2:6.3f}\",\n", + ")\n", + "\n", + "# Set the range of x-axis\n", + "l_lim = min(TEMPO_Pandora_scatter_HiQ[:, [0, 1]].flatten()) * 0.95\n", + "u_lim = max(TEMPO_Pandora_scatter_HiQ[:, [0, 1]].flatten()) * 1.05\n", + "plt.xlim(l_lim, u_lim)\n", + "plt.ylim(l_lim, u_lim)\n", + "\n", + "plt.plot([l_lim, u_lim], [l_lim, u_lim], c=\"g\", ls=\"--\")\n", + "\n", + "plt.plot([l_lim, u_lim], [l_lim * slope + intercept, u_lim * slope + intercept], c=\"r\", ls=\"--\")\n", + "\n", + "if success:\n", + " plt.plot([l_lim, u_lim], [l_lim * slope_0intercept, u_lim * slope_0intercept], c=\"r\", ls=\"-.\")\n", + " fig.text(\n", + " 0.6,\n", + " 0.125,\n", + " f'\"no-intercept\" regression:\\nslope:{slope_0intercept: 6.3f} R$^{2}$ = {r2_0intercept:6.3f}',\n", + " )\n", + "\n", + "plt.title(plot_title + str(\", %08.4fN %08.4fW\" % (POI[0], -POI[1])))\n", + "plt.savefig(img_name, format=\"jpg\", dpi=300)\n", + "\n", + "TEMPO_Pandora_scatter_AllQ = np.empty([0, 3])\n", + "for td in time_series_TEMPO_AllQ:\n", + " for pd in timeseries_Pandora_TEMPO_AllQ:\n", + " if td[0] == pd[0]:\n", + " TEMPO_Pandora_scatter_AllQ = np.append(\n", + " TEMPO_Pandora_scatter_AllQ, [[pd[1], td[1], pd[2]]], axis=0\n", + " )\n", + " break\n", + "\n", + "if len(TEMPO_Pandora_scatter_AllQ) == 0:\n", + " print(\n", + " \"TEMPO all quality and Pandora time series has less than 2 simultaneous measurements.\\n\"\n", + " + \"Potential cause for this problem is scarcity of TEMPO pixels with QF == 0.\\n\"\n", + " + \"The TEMPO science team recommends using only data with QF == 0.\\n\"\n", + " + \"Users may overcome the restriction on the quality flag set in section 6.3,\\n\"\n", + " + 'find \"total_O3_column_QF_loc == 0\" there. By doing so users assume risks of using low quality data.\\n'\n", + " + \"The problem of very scarse QF==0 pixels was previously documented.\\n\"\n", + " + \"There is nothing to plot here, this block is terminated.\\n\"\n", + " + \"Users may continue with DSCOVR EPIC vs. Pandora plot in the next section\"\n", + " )\n", + " sys.exit()\n", + "\n", + "regress = stats.linregress(TEMPO_Pandora_scatter_AllQ[:, 0], TEMPO_Pandora_scatter_AllQ[:, 1])\n", + "slope = regress.slope\n", + "intercept = regress.intercept\n", + "r2 = regress.rvalue**2\n", + "stderr = regress.stderr\n", + "intercept_stderr = regress.intercept_stderr\n", + "\n", + "success, slope_0intercept, r2_0intercept = regress_0intercept(\n", + " TEMPO_Pandora_scatter_AllQ[:, 0], TEMPO_Pandora_scatter_AllQ[:, 1]\n", + ")\n", + "\n", + "plot_title = (\n", + " \"O$_{3}$ total column, TEMPO AllQ w unc \"\n", + " + datestamp_ini\n", + " + \"_\"\n", + " + datestamp_fin\n", + " + \"\\n\"\n", + " + POI_name\n", + ")\n", + "img_name = (\n", + " \"TEMPO_AllQ_vs_Pandora_scatter_O3_tot_col_unc_\"\n", + " + datestamp_ini\n", + " + \"_\"\n", + " + datestamp_fin\n", + " + \"_\"\n", + " + POI_name\n", + " + \".jpg\"\n", + ")\n", + "\n", + "fig = plt.figure()\n", + "\n", + "plt.errorbar(\n", + " TEMPO_Pandora_scatter_AllQ[:, 0],\n", + " TEMPO_Pandora_scatter_AllQ[:, 1],\n", + " xerr=TEMPO_Pandora_scatter_AllQ[:, 2],\n", + " c=\"m\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + ")\n", + "\n", + "plt.xlabel(r\"Pandora O$_{3}$ column, DU\", fontsize=12)\n", + "plt.ylabel(r\"TEMPO O$_{3}$ column, DU\", fontsize=12)\n", + "\n", + "fig.text(\n", + " 0.15,\n", + " 0.725,\n", + " f\"# of points: {len(TEMPO_Pandora_scatter_AllQ):4d}\\nslope:{slope: 6.3f}$\\pm${stderr: 6.3f}\\nintercept: {intercept: 8.2e}$\\pm${intercept_stderr: 8.2e}\\nR$^{2}$ = {r2:6.3f}\",\n", + ")\n", + "\n", + "# Set the range of x-axis\n", + "l_lim = min(TEMPO_Pandora_scatter_AllQ[:, [0, 1]].flatten()) * 0.95\n", + "u_lim = max(TEMPO_Pandora_scatter_AllQ[:, [0, 1]].flatten()) * 1.05\n", + "plt.xlim(l_lim, u_lim)\n", + "plt.ylim(l_lim, u_lim)\n", + "\n", + "plt.plot([l_lim, u_lim], [l_lim, u_lim], c=\"g\", ls=\"--\")\n", + "\n", + "plt.plot([l_lim, u_lim], [l_lim * slope + intercept, u_lim * slope + intercept], c=\"r\", ls=\"--\")\n", + "\n", + "if success:\n", + " plt.plot([l_lim, u_lim], [l_lim * slope_0intercept, u_lim * slope_0intercept], c=\"r\", ls=\"-.\")\n", + " fig.text(\n", + " 0.6,\n", + " 0.125,\n", + " f'\"no-intercept\" regression:\\nslope:{slope_0intercept: 6.3f} R$^{2}$ = {r2_0intercept:6.3f}',\n", + " )\n", + "\n", + "plt.title(plot_title + str(\", %08.4fN %08.4fW\" % (POI[0], -POI[1])))\n", + "plt.savefig(img_name, format=\"jpg\", dpi=300)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "hNc6rfyms3h3" + }, + "source": [ + "### 7.5.2 DSCOVR" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 497 + }, + "id": "Fk5erdtFMzuI", + "outputId": "0cbda13e-feb6-4c15-d9a1-433bb72f8969" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "DSCOVR_Pandora_scatter = np.empty([0, 3])\n", + "for Dd in time_series_DSCOVR:\n", + " for pd in timeseries_Pandora_DSCOVR:\n", + " if Dd[0] == pd[0]:\n", + " DSCOVR_Pandora_scatter = np.append(\n", + " DSCOVR_Pandora_scatter, [[pd[1], Dd[1], pd[2]]], axis=0\n", + " )\n", + " break\n", + "\n", + "regress = stats.linregress(DSCOVR_Pandora_scatter[:, 0], DSCOVR_Pandora_scatter[:, 1])\n", + "slope = regress.slope\n", + "intercept = regress.intercept\n", + "r2 = regress.rvalue**2\n", + "stderr = regress.stderr\n", + "intercept_stderr = regress.intercept_stderr\n", + "\n", + "success, slope_0intercept, r2_0intercept = regress_0intercept(\n", + " DSCOVR_Pandora_scatter[:, 0], DSCOVR_Pandora_scatter[:, 1]\n", + ")\n", + "\n", + "plot_title = \"O$_{3}$ total column, w unc \" + datestamp_ini + \"_\" + datestamp_fin + \"\\n\" + POI_name\n", + "img_name = (\n", + " \"DSCOVR_vs_Pandora_scatter_O3_tot_col_unc_\"\n", + " + datestamp_ini\n", + " + \"_\"\n", + " + datestamp_fin\n", + " + \"_\"\n", + " + POI_name\n", + " + \".jpg\"\n", + ")\n", + "\n", + "fig = plt.figure()\n", + "\n", + "plt.errorbar(\n", + " DSCOVR_Pandora_scatter[:, 0],\n", + " DSCOVR_Pandora_scatter[:, 1],\n", + " xerr=DSCOVR_Pandora_scatter[:, 2],\n", + " c=\"m\",\n", + " ls=\"\",\n", + " marker=\".\",\n", + ")\n", + "\n", + "plt.xlabel(r\"Pandora O$_{3}$ column, DU\", fontsize=12)\n", + "plt.ylabel(r\"DSCOVR O$_{3}$ column, DU\", fontsize=12)\n", + "\n", + "fig.text(\n", + " 0.15,\n", + " 0.75,\n", + " str(\n", + " \"# of points: %3i\\nslope:%6.3f ±%6.3f\\nintercept: %6.1f ± %6.1f\\nR2 = %6.3f\"\n", + " % (len(DSCOVR_Pandora_scatter), slope, stderr, intercept, intercept_stderr, r2)\n", + " ),\n", + ")\n", + "\n", + "# Set the range of x-axis\n", + "l_lim = min(DSCOVR_Pandora_scatter[:, [0, 1]].flatten()) * 0.95\n", + "u_lim = max(DSCOVR_Pandora_scatter[:, [0, 1]].flatten()) * 1.05\n", + "plt.xlim(l_lim, u_lim)\n", + "plt.ylim(l_lim, u_lim)\n", + "\n", + "plt.plot([l_lim, u_lim], [l_lim, u_lim], c=\"g\", ls=\"--\")\n", + "\n", + "plt.plot([l_lim, u_lim], [l_lim * slope + intercept, u_lim * slope + intercept], c=\"r\", ls=\"--\")\n", + "\n", + "if success:\n", + " plt.plot([l_lim, u_lim], [l_lim * slope_0intercept, u_lim * slope_0intercept], c=\"r\", ls=\"-.\")\n", + " fig.text(\n", + " 0.6,\n", + " 0.15,\n", + " str(\n", + " '\"no-intercept\" regression:\\nslope:%6.3f R2 = %6.3f' % (slope_0intercept, r2_0intercept)\n", + " ),\n", + " )\n", + "\n", + "plt.title(plot_title + str(\", %08.4fN %08.4fW\" % (POI[0], -POI[1])))\n", + "plt.savefig(img_name, format=\"jpg\", dpi=300)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cKn-MLMuen1q" + }, + "source": [ + "# EXTRA. Archiving output files to make downloading easier" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "id": "v-VbL8CNXsLL" + }, + "outputs": [], + "source": [ + "import zipfile\n", + "import glob" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "id": "4e1JLotAX9OC" + }, + "outputs": [], + "source": [ + "list_jpg = glob.glob(\"*\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name + \".jpg\")\n", + "\n", + "with zipfile.ZipFile(\n", + " \"fig_\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name + \".zip\", \"w\"\n", + ") as fig_zip:\n", + " for name in list_jpg:\n", + " fig_zip.write(name)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "id": "JVkprHdiYpuS" + }, + "outputs": [], + "source": [ + "list_data = glob.glob(\"*\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name + \"*.txt\")\n", + "\n", + "with zipfile.ZipFile(\n", + " \"data_\" + datestamp_ini + \"_\" + datestamp_fin + \"_\" + POI_name + \".zip\", \"w\"\n", + ") as data_zip:\n", + " for name in list_data:\n", + " data_zip.write(name)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "list_jpg = glob.glob(\"*.jpg\")\n", + "\n", + "with zipfile.ZipFile(\"fig_all.zip\", \"w\") as fig_zip:\n", + " for name in list_jpg:\n", + " fig_zip.write(name)\n", + "\n", + "list_jpg = glob.glob(\"*.png\")\n", + "\n", + "with zipfile.ZipFile(\"fig_all.zip\", \"a\") as fig_zip:\n", + " for name in list_jpg:\n", + " fig_zip.write(name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/TEMPO/L2_validation_codes/TEMPO_trop_NO2_V04_validation_with_Pandora_Harmony.ipynb b/TEMPO/L2_validation_codes/TEMPO_trop_NO2_V04_validation_with_Pandora_Harmony.ipynb index 21acf57..4e2ded1 100644 --- a/TEMPO/L2_validation_codes/TEMPO_trop_NO2_V04_validation_with_Pandora_Harmony.ipynb +++ b/TEMPO/L2_validation_codes/TEMPO_trop_NO2_V04_validation_with_Pandora_Harmony.ipynb @@ -15,7 +15,7 @@ "id": "kjVKCytfEnRt" }, "source": [ - "# TEMPO troposhperic NO2 validation\n", + "# TEMPO NO2 troposhperic validation\n", "\n", "## Summary\n", "\n", @@ -31,7 +31,7 @@ "\n", "Pandora data files are ASCII files with header and space separated columns. Custome made function is included to read nitrogen dioxide total column along with its total uncertainty.\n", "\n", - "This code takes into account quality flags (QFs) from both TEMPO and Pandora. This is implemented as follow. On the TEMPO side, data set \"/product/main_data_quality_flag\" is read, all pixels with non-zero QFs are discarded, however negative values of total HCHO column are NOT discarded and used for averaging/interpolationg to the point of interest. For the purpose of physical sanity, another way is also implemented, i.e., negative retrievals are not used in averaging. Since the science team urged to retain negative retrivals as they are consider noise that \"counterbalances\" positive noise, yet another way of average is computed retaining only Therefore, THREE values are returned, trop_NO2_col, and trop_HCHO_col_noneg. On Pandora side negative columns also occur despite high quality flags, though they are rare. So, two Pandora time series are considered - with and without negative columns.\n", + "This code takes into account quality flags (QFs) from both TEMPO and Pandora. This is implemented as follow. On the TEMPO side, data set \"/product/main_data_quality_flag\" is read, all pixels with non-zero QFs are discarded, however negative values of NO2 tropospheric column are NOT discarded and used for averaging/interpolationg to the point of interest. For the purpose of physical sanity, another way is also implemented, i.e., negative retrievals are not used in averaging. Since the science team urged to retain negative retrivals as they are consider noise that \"counterbalances\" positive noise, yet another way of average is computed retaining only Therefore, THREE values are returned, trop_NO2_col, and trop_NO2_col_noneg. On Pandora side negative columns also occur despite high quality flags, though they are rare. So, two Pandora time series are considered - with and without negative columns.\n", "\n", "The resulting time series are plotted with and without uncertainty of both measurement in the end of the notebook.\n", "\n", @@ -151,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "id": "IAAuhYMcEkvP" }, @@ -175,6 +175,7 @@ "from urllib.request import urlopen # needed to search for and download Pandora data\n", "from pathlib import Path # needed to check whether a needed data file is already downloaded\n", "from datetime import datetime # needed to work with time in plotting time series\n", + "from collections import defaultdict\n", "\n", "from harmony import BBox, Client, Collection, Request\n", "from harmony.config import Environment\n", @@ -213,7 +214,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "id": "kB3wW0-D1RP2" }, @@ -253,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": { "id": "tpF3vEOD1dsm" }, @@ -324,7 +325,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": { "id": "PI8UerY82LoQ" }, @@ -334,7 +335,7 @@ "# However, the most recent version of the trop NO2 data, rnvh3p1-8, is available only in one of these directories.\n", "# The function creates all possible links, but some of them may be non-existing. This is checked and cleared later.\n", "def instrument_path(site):\n", - "# function instrument_path returns links to available Pandora HCHO retrievals files\n", + "# function instrument_path returns links to available Pandora NO2 trop retrievals files\n", " url = 'https://data.pandonia-global-network.org/' + site + '/'\n", " page = urlopen(url)\n", " html_bytes = page.read()\n", @@ -385,7 +386,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "id": "9XMu3iAp27yx" }, @@ -501,7 +502,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": { "id": "zVJY6k5i3qat" }, @@ -585,7 +586,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": { "id": "Or7hNgjA4oUi" }, @@ -722,7 +723,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -761,7 +762,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -942,7 +943,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -950,9 +951,8 @@ "\n", " fout = open(ts_fname, 'r')\n", "\n", - " # header1 = fout.readline()\n", - " # header2 = fout.readline()\n", - " data_lines_noneg = fout.readlines()\n", + " lines = fout.readlines()\n", + " data_lines = lines[2 : ] #first two lines are header and need to be skipped\n", "\n", " fout.close()\n", "\n", @@ -974,7 +974,7 @@ "\n", " time_series = np.empty([0, 3])\n", "\n", - " for line in data_lines_noneg:\n", + " for line in data_lines:\n", " split = line.split()\n", " date = split[0]\n", " time = split[1]\n", @@ -1056,7 +1056,7 @@ ] }, { - "name": "stdout", + "name": "stdin", "output_type": "stream", "text": [ "Username: alexrad71\n", @@ -1090,9 +1090,18 @@ "## 4.1 Discovering existing Pandora stations and selecting one of them" ] }, + { + "cell_type": "markdown", + "metadata": { + "id": "-cqNd6lm6A4Q" + }, + "source": [ + "## 4.2 Selecting timeframe of interest common for both instruments" + ] + }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1154,6 +1163,7 @@ "CameronLA\n", "CapeElizabethME\n", "Cebu\n", + "ChacoCultureNM\n", "ChapelHillNC\n", "CharlesCityVA\n", "ChelseaMA\n", @@ -1171,6 +1181,7 @@ "DearbornMI\n", "DeBilt\n", "Dhaka\n", + "DinosaurUT\n", "Downsview\n", "EastProvidenceRI\n", "EdwardsCA\n", @@ -1278,6 +1289,7 @@ "SWDetroitMI\n", "Tel-Aviv\n", "Thessaloniki\n", + "TitoScaloPZ-CNR-IMAA\n", "Tokyo-Sophia\n", "Tokyo-TMU\n", "Toronto-CNTower\n", @@ -1310,27 +1322,23 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Enter a name of a Pandora site: Manhat\n" - ] - }, - { - "name": "stdout", + "name": "stdin", "output_type": "stream", "text": [ - "Manhat\n", - "there are 2 site names, select one from\n", - "ManhattanKS\n", - "ManhattanNY-CCNY\n" + "Enter a name of a Pandora site: ManhattanNY-CCNY\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Enter an exact name of a Pandora site: ManhattanNY-CCNY\n" + "ManhattanNY-CCNY\n", + "site ManhattanNY-CCNY was found and added to the list of sites \n", + "the following sites were selected\n", + "ManhattanNY-CCNY\n", + "from the list of existing Pandora sites\n", + "https://data.pandonia-global-network.org/ManhattanNY-CCNY/Pandora135s1/L2/Pandora135s1_ManhattanNY-CCNY_L2_rnvh3p1-8.txt\n", + "Pandora135s1_ManhattanNY-CCNY_L2_rnvh3p1-8.txt exits in local directory\n" ] }, { @@ -1349,7 +1357,7 @@ "source": [ "# Discovering existing Pandora stations and selecting one of them\n", "# Discovering available Pandora site.\n", - "# Please bear in mind that some sites do not have HCHO data files\n", + "# Please bear in mind that some sites do not have NO2 tropospheric data files\n", "print('gathering Pandora sites information')\n", "refs = read_pandora_web()\n", "\n", @@ -1397,15 +1405,6 @@ " sys.exit()" ] }, - { - "cell_type": "markdown", - "metadata": { - "id": "-cqNd6lm6A4Q" - }, - "source": [ - "## 4.2 Selecting timeframe of interest common for both instruments" - ] - }, { "cell_type": "code", "execution_count": 15, @@ -1424,6 +1423,21 @@ "enter period of interest, start and end dates, in the form YYYYMMDD\n" ] }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "enter start date of interest 20240711\n", + "enter end date of interest 20240807\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024 7 11 2024 8 7\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -1472,7 +1486,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1488,7 +1502,7 @@ "location name ManhattanNY-CCNY\n", "location latitude 40.8153\n", "location longitude -73.9505\n", - "962 Pandora measurements found within period of interes between 2024-07-12 00:00:00 and 2024-08-07 23:59:59\n" + "979 Pandora measurements found within period of interes between 2024-07-11 00:00:00 and 2024-08-07 23:59:59\n" ] } ], @@ -1523,7 +1537,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 17, "metadata": { "id": "Za0rC_qA7oiN" }, @@ -1538,8 +1552,17 @@ "POI_name_ = POI_name.replace(' ','_')\n", "Pandora_out = open(out_Q+'_Pandora_'+datestamp_ini+'_'+datestamp_fin+'_'\\\n", "+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1])), 'w')\n", + "\n", + "Pandora_out.write(\"timeseries of Pandora NO2 trop column at \"\n", + " + POI_name\n", + " + \" \"\n", + " + str(\"%08.4fN %08.4fW\" % (POI[0], -POI[1]))\n", + " + \"\\n\"\n", + ")\n", + "Pandora_out.write(\"yyyy mm dd hh mn ss \" + out_Q_unit + \"\\n\")\n", + "\n", "for line in Pandora_data:\n", - " Pandora_out.write(str('%4.4i %2.2i %2.2i %2.2i %2.2i %4.1f %12.4e %12.4e\\n'\\\n", + " Pandora_out.write(str('%4.4i-%2.2i-%2.2i %2.2i:%2.2i:%04.1f %12.4e %12.4e\\n'\\\n", " %(line[0], line[1], line[2], line[3], line[4], line[5], line[6], line[7])))\n", "Pandora_out.close()" ] @@ -1565,7 +1588,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1579,7 +1602,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "TEMPO_NO2_L2_V04_20240712T105030Z_S001G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T105011Z_S001G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T105011Z_S001G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T113016Z_S002G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T121021Z_S003G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T125026Z_S004G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T133034Z_S005G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T143034Z_S006G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T153034Z_S007G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T163034Z_S008G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T173034Z_S009G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T183034Z_S010G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T193034Z_S011G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T203034Z_S012G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T213034Z_S013G03.nc\n", + "TEMPO_NO2_L2_V04_20240711T223034Z_S014G03.nc\n", "TEMPO_NO2_L2_V04_20240712T105030Z_S001G03.nc\n", "TEMPO_NO2_L2_V04_20240712T113035Z_S002G03.nc\n", "TEMPO_NO2_L2_V04_20240712T121040Z_S003G03.nc\n", @@ -1971,7 +2008,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1998,39 +2035,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "00000000\n" - ] - } - ], + "outputs": [], "source": [ - "date_ini = \"00000000\"\n", - "print(date_ini)\n", - "\n", - "day = []\n", - "cnt = 0\n", - "dd = np.empty([len(fnames)], dtype = object)\n", + "# Group filenames by date, extracted from 5th underscore-delimited segment\n", + "# (e.g. \"..._20230415T123000Z_...\" → \"20230415\"). Sorted iteration + dict\n", + "# insertion-order guarantee ensures date groups are chronological.\n", + "groups = defaultdict(list)\n", "for fname in sorted(fnames):\n", - " dateTtimeZ = fname.split(\"_\")[4]\n", - " date = dateTtimeZ.split('T')[0]\n", - "\n", - " if date != date_ini:\n", - " if day != []:\n", - " dd[cnt] = day\n", - " cnt += 1\n", - " day = [fname]\n", - " date_ini = date\n", - " else:\n", - " day.append(fname)\n", + " date = fname.split(\"_\")[4].split(\"T\")[0]\n", + " groups[date].append(fname)\n", "\n", - "dd[cnt] = day # this account for the last chunk; otherwise, it will be lost\n", - "days = dd[(dd is not None)]" + "days = np.array(list(groups.values()), dtype=object)" ] }, { @@ -2039,12 +2056,12 @@ "id": "kPyYwF-E7Qiv" }, "source": [ - "## 5.4 Compiling TEMPO formaldehyde column time series" + "## 5.4 Compiling TEMPO NO2 tropospheric column time series" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 21, "metadata": { "scrolled": true }, @@ -2053,7 +2070,176 @@ "name": "stdout", "output_type": "stream", "text": [ - "jobID = 6953ae3d-a31e-453a-a275-3c2bbee0089d\n" + "jobID = cc5a38f0-5942-40a8-99b6-fb63ad5694fe\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " [ Processing: 100% ] |###################################################| [|]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./224517555_TEMPO_NO2_L2_V04_20240711T105011Z_S001G03_subsetted.nc\n", + "./224517556_TEMPO_NO2_L2_V04_20240711T113016Z_S002G03_subsetted.nc\n", + "./224517557_TEMPO_NO2_L2_V04_20240711T121021Z_S003G03_subsetted.nc\n", + "./224517559_TEMPO_NO2_L2_V04_20240711T133034Z_S005G03_subsetted.nc\n", + "./224517558_TEMPO_NO2_L2_V04_20240711T125026Z_S004G03_subsetted.nc\n", + "./224517560_TEMPO_NO2_L2_V04_20240711T143034Z_S006G03_subsetted.nc\n", + "./224517561_TEMPO_NO2_L2_V04_20240711T153034Z_S007G03_subsetted.nc\n", + "./224517562_TEMPO_NO2_L2_V04_20240711T163034Z_S008G03_subsetted.nc\n", + "./224517563_TEMPO_NO2_L2_V04_20240711T173034Z_S009G03_subsetted.nc\n", + "./224517565_TEMPO_NO2_L2_V04_20240711T193034Z_S011G03_subsetted.nc\n", + "./224517564_TEMPO_NO2_L2_V04_20240711T183034Z_S010G03_subsetted.nc\n", + "./224517566_TEMPO_NO2_L2_V04_20240711T203034Z_S012G03_subsetted.nc\n", + "./224517567_TEMPO_NO2_L2_V04_20240711T213034Z_S013G03_subsetted.nc\n", + "./224517568_TEMPO_NO2_L2_V04_20240711T223034Z_S014G03_subsetted.nc\n", + "Number of result files: 14\n", + "224517555_TEMPO_NO2_L2_V04_20240711T105011Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.817650 -73.948708 7.5989e+15 2.3870e+15 1\n", + " 6 660 40.796669 -73.954979 1.0817e+16 1.6875e+15 1\n", + " 7 659 40.815918 -74.008850 7.5430e+15 3.3639e+15 1\n", + " 7 660 40.794445 -74.015396 5.7414e+15 3.2534e+15 1\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224517556_TEMPO_NO2_L2_V04_20240711T113016Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.820900 -73.888817 7.5812e+15 1.8727e+15 0\n", + " 5 660 40.799999 -73.895065 8.2744e+15 2.0419e+15 0\n", + " 6 659 40.818573 -73.950935 7.3691e+15 2.2275e+15 0\n", + " 6 660 40.797459 -73.957291 5.4892e+15 2.6490e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 11:30:34.859583+00:00, NO2 trop col 7.1368e+15, unc 2.2800e+15\n", + "no negative: averaged time 2024-07-11 11:30:34.859583+00:00, NO2 trop col 7.1368e+15, unc 2.2800e+15\n", + "no Small: averaged time 2024-07-11 11:30:34.859583+00:00, NO2 trop col 7.1368e+15, unc 2.2800e+15\n", + "224517557_TEMPO_NO2_L2_V04_20240711T121021Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.821053 -73.917641 1.3625e+16 3.2328e+15 0\n", + " 6 661 40.800163 -73.923874 1.3807e+16 3.1594e+15 0\n", + " 7 660 40.818607 -73.979271 1.3584e+16 4.2168e+15 0\n", + " 7 661 40.798237 -73.985168 1.0856e+16 3.2138e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 12:10:41.469317+00:00, NO2 trop col 1.3643e+16, unc 3.7202e+15\n", + "no negative: averaged time 2024-07-11 12:10:41.469317+00:00, NO2 trop col 1.3643e+16, unc 3.7202e+15\n", + "no Small: averaged time 2024-07-11 12:10:41.469317+00:00, NO2 trop col 1.3643e+16, unc 3.7202e+15\n", + "224517559_TEMPO_NO2_L2_V04_20240711T133034Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 660 40.828747 -73.897919 5.5126e+15 6.6468e+14 0\n", + " 5 661 40.807785 -73.904228 7.2368e+15 6.9430e+14 0\n", + " 6 660 40.826157 -73.959480 6.0912e+15 9.2679e+14 0\n", + " 6 661 40.804966 -73.965904 6.6014e+15 8.5422e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 13:30:52.345995+00:00, NO2 trop col 6.4945e+15, unc 8.5540e+14\n", + "no negative: averaged time 2024-07-11 13:30:52.345995+00:00, NO2 trop col 6.4945e+15, unc 8.5540e+14\n", + "no Small: averaged time 2024-07-11 13:30:52.345995+00:00, NO2 trop col 6.4945e+15, unc 8.5540e+14\n", + "224517558_TEMPO_NO2_L2_V04_20240711T125026Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.830021 -73.884560 1.0334e+16 1.0501e+15 0\n", + " 5 660 40.808975 -73.890923 7.1577e+15 6.7726e+14 0\n", + " 6 659 40.827782 -73.947342 4.5584e+15 7.3198e+14 0\n", + " 6 660 40.806534 -73.953796 1.0766e+16 5.4422e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 12:50:44.890474+00:00, NO2 trop col 8.1752e+15, unc 3.4559e+15\n", + "no negative: averaged time 2024-07-11 12:50:44.890474+00:00, NO2 trop col 8.1752e+15, unc 3.4559e+15\n", + "no Small: averaged time 2024-07-11 12:50:44.890474+00:00, NO2 trop col 8.1752e+15, unc 3.4559e+15\n", + "224517560_TEMPO_NO2_L2_V04_20240711T143034Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 660 40.819065 -73.935013 6.7251e+15 1.3116e+15 0\n", + " 5 661 40.798069 -73.941322 8.7609e+15 9.2221e+14 0\n", + " 6 660 40.815559 -73.997498 5.1933e+15 9.4289e+14 0\n", + " 6 661 40.794292 -74.003960 8.6329e+15 2.0161e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 14:30:50.630682+00:00, NO2 trop col 6.6528e+15, unc 1.1708e+15\n", + "no negative: averaged time 2024-07-11 14:30:50.630682+00:00, NO2 trop col 6.6528e+15, unc 1.1708e+15\n", + "no Small: averaged time 2024-07-11 14:30:50.630682+00:00, NO2 trop col 6.6528e+15, unc 1.1708e+15\n", + "224517561_TEMPO_NO2_L2_V04_20240711T153034Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.832386 -73.920990 6.1139e+15 1.2670e+15 0\n", + " 5 660 40.811512 -73.927231 8.9139e+15 1.0739e+15 0\n", + " 6 659 40.830502 -73.983078 4.0326e+15 1.2595e+15 0\n", + " 6 660 40.809658 -73.989281 8.6882e+15 1.6254e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 15:30:51.122076+00:00, NO2 trop col 7.8140e+15, unc 1.2132e+15\n", + "no negative: averaged time 2024-07-11 15:30:51.122076+00:00, NO2 trop col 7.8140e+15, unc 1.2132e+15\n", + "no Small: averaged time 2024-07-11 15:30:51.122076+00:00, NO2 trop col 7.8140e+15, unc 1.2132e+15\n", + "224517562_TEMPO_NO2_L2_V04_20240711T163034Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.816917 -73.932213 7.2524e+15 1.6546e+15 0\n", + " 5 660 40.795883 -73.938545 8.4784e+15 1.6101e+15 0\n", + " 6 659 40.814281 -73.994186 4.7845e+15 2.9560e+15 0\n", + " 6 660 40.793312 -74.000465 6.0732e+15 1.4550e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 16:30:50.797751+00:00, NO2 trop col 6.5840e+15, unc 2.0315e+15\n", + "no negative: averaged time 2024-07-11 16:30:50.797751+00:00, NO2 trop col 6.5840e+15, unc 2.0315e+15\n", + "no Small: averaged time 2024-07-11 16:30:50.797751+00:00, NO2 trop col 6.5840e+15, unc 2.0315e+15\n", + "224517563_TEMPO_NO2_L2_V04_20240711T173034Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.827045 -73.928841 7.8351e+15 7.7006e+14 0\n", + " 5 660 40.806019 -73.935181 1.0481e+16 7.7839e+14 0\n", + " 6 659 40.824326 -73.991768 7.5685e+15 1.4636e+15 0\n", + " 6 660 40.803257 -73.998100 8.8907e+15 2.3983e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 17:30:50.815358+00:00, NO2 trop col 9.1352e+15, unc 9.7673e+14\n", + "no negative: averaged time 2024-07-11 17:30:50.815358+00:00, NO2 trop col 9.1352e+15, unc 9.7673e+14\n", + "no Small: averaged time 2024-07-11 17:30:50.815358+00:00, NO2 trop col 9.1352e+15, unc 9.7673e+14\n", + "224517565_TEMPO_NO2_L2_V04_20240711T193034Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.824104 -73.901344 1.7629e+16 3.7079e+15 0\n", + " 5 660 40.803123 -73.907661 9.1437e+15 2.0676e+15 0\n", + " 6 659 40.821621 -73.964470 7.6959e+15 2.0897e+15 0\n", + " 6 660 40.800533 -73.970833 1.7701e+16 4.4855e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 19:30:52.189589+00:00, NO2 trop col 8.8300e+15, unc 2.2674e+15\n", + "no negative: averaged time 2024-07-11 19:30:52.189589+00:00, NO2 trop col 8.8300e+15, unc 2.2674e+15\n", + "no Small: averaged time 2024-07-11 19:30:52.189589+00:00, NO2 trop col 8.8300e+15, unc 2.2674e+15\n", + "224517564_TEMPO_NO2_L2_V04_20240711T183034Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.831413 -73.898239 1.6038e+16 1.1698e+15 0\n", + " 5 660 40.810429 -73.904564 1.1821e+16 3.8470e+15 0\n", + " 6 659 40.829796 -73.959061 7.2452e+15 1.5608e+15 0\n", + " 6 660 40.808697 -73.965431 7.1520e+15 1.6297e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 18:30:52.310146+00:00, NO2 trop col 8.1804e+15, unc 2.0847e+15\n", + "no negative: averaged time 2024-07-11 18:30:52.310146+00:00, NO2 trop col 8.1804e+15, unc 2.0847e+15\n", + "no Small: averaged time 2024-07-11 18:30:52.310146+00:00, NO2 trop col 8.1804e+15, unc 2.0847e+15\n", + "224517566_TEMPO_NO2_L2_V04_20240711T203034Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.821785 -73.899246 1.6050e+16 1.1435e+15 0\n", + " 5 660 40.800861 -73.905525 1.4852e+16 1.4288e+15 0\n", + " 6 659 40.819813 -73.961319 1.6440e+16 2.7138e+15 0\n", + " 6 660 40.798695 -73.967690 1.8623e+16 4.5027e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 20:30:52.361789+00:00, NO2 trop col 1.6204e+16, unc 2.5238e+15\n", + "no negative: averaged time 2024-07-11 20:30:52.361789+00:00, NO2 trop col 1.6204e+16, unc 2.5238e+15\n", + "no Small: averaged time 2024-07-11 20:30:52.361789+00:00, NO2 trop col 1.6204e+16, unc 2.5238e+15\n", + "224517567_TEMPO_NO2_L2_V04_20240711T213034Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.824059 -73.905434 1.3318e+16 1.0565e+15 0\n", + " 6 660 40.803043 -73.911774 1.6414e+16 1.1603e+15 0\n", + " 7 659 40.821857 -73.967155 1.6412e+16 9.6347e+15 0\n", + " 7 660 40.800804 -73.973488 1.6534e+16 1.0452e+16 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 21:30:55.068507+00:00, NO2 trop col 1.6417e+16, unc 7.0803e+15\n", + "no negative: averaged time 2024-07-11 21:30:55.068507+00:00, NO2 trop col 1.6417e+16, unc 7.0803e+15\n", + "no Small: averaged time 2024-07-11 21:30:55.068507+00:00, NO2 trop col 1.6417e+16, unc 7.0803e+15\n", + "224517568_TEMPO_NO2_L2_V04_20240711T223034Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.829746 -73.930336 9.6662e+15 1.1939e+15 0\n", + " 6 660 40.808765 -73.936630 1.6051e+16 2.5837e+15 0\n", + " 7 659 40.826859 -73.991982 5.9679e+15 1.5357e+15 0\n", + " 7 660 40.805721 -73.998360 7.2302e+15 1.7147e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-11 22:30:53.752980+00:00, NO2 trop col 1.2870e+16, unc 2.1901e+15\n", + "no negative: averaged time 2024-07-11 22:30:53.752980+00:00, NO2 trop col 1.2870e+16, unc 2.1901e+15\n", + "no Small: averaged time 2024-07-11 22:30:53.752980+00:00, NO2 trop col 1.2870e+16, unc 2.1901e+15\n", + "jobID = e59db34d-03a1-45d0-9734-ca44096bcf2f\n" ] }, { @@ -2067,22 +2253,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177645563_TEMPO_NO2_L2_V04_20240712T105030Z_S001G03_subsetted.nc\n", - "./177645565_TEMPO_NO2_L2_V04_20240712T121040Z_S003G03_subsetted.nc\n", - "./177645564_TEMPO_NO2_L2_V04_20240712T113035Z_S002G03_subsetted.nc\n", - "./177645566_TEMPO_NO2_L2_V04_20240712T125045Z_S004G03_subsetted.nc\n", - "./177645567_TEMPO_NO2_L2_V04_20240712T133053Z_S005G03_subsetted.nc\n", - "./177645569_TEMPO_NO2_L2_V04_20240712T153053Z_S007G03_subsetted.nc\n", - "./177645568_TEMPO_NO2_L2_V04_20240712T143053Z_S006G03_subsetted.nc\n", - "./177645570_TEMPO_NO2_L2_V04_20240712T163053Z_S008G03_subsetted.nc\n", - "./177645571_TEMPO_NO2_L2_V04_20240712T173053Z_S009G03_subsetted.nc\n", - "./177645572_TEMPO_NO2_L2_V04_20240712T183053Z_S010G03_subsetted.nc\n", - "./177645573_TEMPO_NO2_L2_V04_20240712T193053Z_S011G03_subsetted.nc\n", - "./177645574_TEMPO_NO2_L2_V04_20240712T203053Z_S012G03_subsetted.nc\n", - "./177645575_TEMPO_NO2_L2_V04_20240712T213053Z_S013G03_subsetted.nc\n", - "./177645576_TEMPO_NO2_L2_V04_20240712T223053Z_S014G03_subsetted.nc\n", + "./224518204_TEMPO_NO2_L2_V04_20240712T105030Z_S001G03_subsetted.nc\n", + "./224518206_TEMPO_NO2_L2_V04_20240712T121040Z_S003G03_subsetted.nc\n", + "./224518205_TEMPO_NO2_L2_V04_20240712T113035Z_S002G03_subsetted.nc\n", + "./224518208_TEMPO_NO2_L2_V04_20240712T133053Z_S005G03_subsetted.nc\n", + "./224518207_TEMPO_NO2_L2_V04_20240712T125045Z_S004G03_subsetted.nc\n", + "./224518209_TEMPO_NO2_L2_V04_20240712T143053Z_S006G03_subsetted.nc\n", + "./224518210_TEMPO_NO2_L2_V04_20240712T153053Z_S007G03_subsetted.nc\n", + "./224518213_TEMPO_NO2_L2_V04_20240712T183053Z_S010G03_subsetted.nc\n", + "./224518214_TEMPO_NO2_L2_V04_20240712T193053Z_S011G03_subsetted.nc\n", + "./224518215_TEMPO_NO2_L2_V04_20240712T203053Z_S012G03_subsetted.nc\n", + "./224518211_TEMPO_NO2_L2_V04_20240712T163053Z_S008G03_subsetted.nc\n", + "./224518212_TEMPO_NO2_L2_V04_20240712T173053Z_S009G03_subsetted.nc\n", + "./224518216_TEMPO_NO2_L2_V04_20240712T213053Z_S013G03_subsetted.nc\n", + "./224518217_TEMPO_NO2_L2_V04_20240712T223053Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177645563_TEMPO_NO2_L2_V04_20240712T105030Z_S001G03_subsetted.nc\n", + "224518204_TEMPO_NO2_L2_V04_20240712T105030Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.821774 -73.921005 1.6885e+16 6.6759e+15 1\n", " 6 660 40.800907 -73.927231 7.9350e+15 1.5664e+16 1\n", @@ -2092,7 +2278,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177645565_TEMPO_NO2_L2_V04_20240712T121040Z_S003G03_subsetted.nc\n", + "224518206_TEMPO_NO2_L2_V04_20240712T121040Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.833557 -73.916458 2.3048e+16 1.3899e+16 0\n", " 6 660 40.812637 -73.922737 -1.1331e+16 1.4988e+16 0\n", @@ -2102,7 +2288,7 @@ "no FV: averaged time 2024-07-12 12:11:00.314560+00:00, NO2 trop col -2.4630e+15, unc 1.4692e+16\n", "no negative: averaged time 2024-07-12 12:11:00.944075+00:00, NO2 trop col 1.4088e+16, unc 1.4268e+16\n", "no Small: averaged time 2024-07-12 12:11:00.438563+00:00, NO2 trop col 2.0108e+16, unc 1.4429e+16\n", - "177645564_TEMPO_NO2_L2_V04_20240712T113035Z_S002G03_subsetted.nc\n", + "224518205_TEMPO_NO2_L2_V04_20240712T113035Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.827583 -73.916954 5.6377e+15 3.8113e+16 0\n", " 6 660 40.806648 -73.923233 3.1101e+16 3.5368e+16 0\n", @@ -2112,17 +2298,7 @@ "no FV: averaged time 2024-07-12 11:30:55.391263+00:00, NO2 trop col 1.8705e+16, unc 2.3355e+16\n", "no negative: averaged time 2024-07-12 11:30:55.391263+00:00, NO2 trop col 1.8705e+16, unc 2.3355e+16\n", "no Small: averaged time 2024-07-12 11:30:56.952373+00:00, NO2 trop col 1.7857e+16, unc 8.8176e+15\n", - "177645566_TEMPO_NO2_L2_V04_20240712T125045Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.825047 -73.946388 1.3168e+16 1.5200e+16 0\n", - " 6 660 40.803864 -73.952820 7.1020e+15 1.0954e+16 0\n", - " 7 659 40.823879 -74.009300 8.8252e+15 1.1229e+16 0\n", - " 7 660 40.802750 -74.015671 5.9968e+15 1.2839e+16 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-12 12:51:03.980883+00:00, NO2 trop col 1.0303e+16, unc 1.3178e+16\n", - "no negative: averaged time 2024-07-12 12:51:03.980883+00:00, NO2 trop col 1.0303e+16, unc 1.3178e+16\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177645567_TEMPO_NO2_L2_V04_20240712T133053Z_S005G03_subsetted.nc\n", + "224518208_TEMPO_NO2_L2_V04_20240712T133053Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.824577 -73.917854 1.8978e+16 2.6239e+15 0\n", " 5 661 40.803665 -73.924126 1.3855e+16 2.1594e+15 0\n", @@ -2132,17 +2308,17 @@ "no FV: averaged time 2024-07-12 13:31:10.393589+00:00, NO2 trop col 1.9802e+16, unc 4.2054e+15\n", "no negative: averaged time 2024-07-12 13:31:10.393589+00:00, NO2 trop col 1.9802e+16, unc 4.2054e+15\n", "no Small: averaged time 2024-07-12 13:31:10.393589+00:00, NO2 trop col 1.9802e+16, unc 4.2054e+15\n", - "177645569_TEMPO_NO2_L2_V04_20240712T153053Z_S007G03_subsetted.nc\n", + "224518207_TEMPO_NO2_L2_V04_20240712T125045Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.822956 -73.943069 8.4629e+15 3.6260e+15 0\n", - " 5 660 40.802013 -73.949348 1.2489e+16 3.2520e+15 0\n", - " 6 659 40.821190 -74.004692 1.3653e+16 2.6360e+15 0\n", - " 6 660 40.799767 -74.011246 1.2537e+16 2.8755e+15 0\n", + " 6 659 40.825047 -73.946388 1.3168e+16 1.5200e+16 0\n", + " 6 660 40.803864 -73.952820 7.1020e+15 1.0954e+16 0\n", + " 7 659 40.823879 -74.009300 8.8252e+15 1.1229e+16 0\n", + " 7 660 40.802750 -74.015671 5.9968e+15 1.2839e+16 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-12 15:31:09.177207+00:00, NO2 trop col 1.0343e+16, unc 3.4087e+15\n", - "no negative: averaged time 2024-07-12 15:31:09.177207+00:00, NO2 trop col 1.0343e+16, unc 3.4087e+15\n", - "no Small: averaged time 2024-07-12 15:31:09.177207+00:00, NO2 trop col 1.0343e+16, unc 3.4087e+15\n", - "177645568_TEMPO_NO2_L2_V04_20240712T143053Z_S006G03_subsetted.nc\n", + "no FV: averaged time 2024-07-12 12:51:03.980883+00:00, NO2 trop col 1.0303e+16, unc 1.3178e+16\n", + "no negative: averaged time 2024-07-12 12:51:03.980883+00:00, NO2 trop col 1.0303e+16, unc 1.3178e+16\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224518209_TEMPO_NO2_L2_V04_20240712T143053Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.832375 -73.936562 2.0314e+16 2.6060e+15 0\n", " 5 660 40.811508 -73.942810 1.7373e+16 4.5357e+15 0\n", @@ -2152,27 +2328,17 @@ "no FV: averaged time 2024-07-12 14:31:09.359923+00:00, NO2 trop col 1.8942e+16, unc 4.1741e+15\n", "no negative: averaged time 2024-07-12 14:31:09.359923+00:00, NO2 trop col 1.8942e+16, unc 4.1741e+15\n", "no Small: averaged time 2024-07-12 14:31:09.359923+00:00, NO2 trop col 1.8942e+16, unc 4.1741e+15\n", - "177645570_TEMPO_NO2_L2_V04_20240712T163053Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.817123 -73.916939 1.0735e+16 4.3404e+15 0\n", - " 5 661 40.796215 -73.923210 7.6867e+15 5.5114e+15 0\n", - " 6 660 40.814774 -73.978264 8.2503e+15 8.6323e+15 0\n", - " 6 661 40.794170 -73.984314 3.3164e+15 2.8089e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-12 16:31:10.573025+00:00, NO2 trop col 9.3026e+15, unc 6.7082e+15\n", - "no negative: averaged time 2024-07-12 16:31:10.573025+00:00, NO2 trop col 9.3026e+15, unc 6.7082e+15\n", - "no Small: averaged time 2024-07-12 16:31:09.932212+00:00, NO2 trop col 7.2461e+15, unc 4.2202e+15\n", - "177645571_TEMPO_NO2_L2_V04_20240712T173053Z_S009G03_subsetted.nc\n", + "224518210_TEMPO_NO2_L2_V04_20240712T153053Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.820988 -73.928955 7.1748e+15 2.3823e+15 0\n", - " 5 660 40.799995 -73.935272 5.8149e+15 2.4572e+15 0\n", - " 6 659 40.817692 -73.991882 5.4688e+15 2.8999e+15 0\n", - " 6 660 40.796749 -73.998146 7.5968e+15 3.5551e+15 0\n", + " 5 659 40.822956 -73.943069 8.4629e+15 3.6260e+15 0\n", + " 5 660 40.802013 -73.949348 1.2489e+16 3.2520e+15 0\n", + " 6 659 40.821190 -74.004692 1.3653e+16 2.6360e+15 0\n", + " 6 660 40.799767 -74.011246 1.2537e+16 2.8755e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-12 17:31:09.890924+00:00, NO2 trop col 6.3284e+15, unc 2.5646e+15\n", - "no negative: averaged time 2024-07-12 17:31:09.890924+00:00, NO2 trop col 6.3284e+15, unc 2.5646e+15\n", - "no Small: averaged time 2024-07-12 17:31:09.890924+00:00, NO2 trop col 6.3284e+15, unc 2.5646e+15\n", - "177645572_TEMPO_NO2_L2_V04_20240712T183053Z_S010G03_subsetted.nc\n", + "no FV: averaged time 2024-07-12 15:31:09.177207+00:00, NO2 trop col 1.0343e+16, unc 3.4087e+15\n", + "no negative: averaged time 2024-07-12 15:31:09.177207+00:00, NO2 trop col 1.0343e+16, unc 3.4087e+15\n", + "no Small: averaged time 2024-07-12 15:31:09.177207+00:00, NO2 trop col 1.0343e+16, unc 3.4087e+15\n", + "224518213_TEMPO_NO2_L2_V04_20240712T183053Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.834385 -73.913780 6.1519e+15 1.6983e+15 0\n", " 5 660 40.813427 -73.920074 1.0356e+16 1.8379e+15 0\n", @@ -2182,7 +2348,7 @@ "no FV: averaged time 2024-07-12 18:31:10.460584+00:00, NO2 trop col 8.8983e+15, unc 1.8087e+15\n", "no negative: averaged time 2024-07-12 18:31:10.460584+00:00, NO2 trop col 8.8983e+15, unc 1.8087e+15\n", "no Small: averaged time 2024-07-12 18:31:10.460584+00:00, NO2 trop col 8.8983e+15, unc 1.8087e+15\n", - "177645573_TEMPO_NO2_L2_V04_20240712T193053Z_S011G03_subsetted.nc\n", + "224518214_TEMPO_NO2_L2_V04_20240712T193053Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.823891 -73.919304 5.8775e+15 6.9513e+15 0\n", " 5 660 40.803024 -73.925545 9.7812e+15 5.3057e+15 0\n", @@ -2192,7 +2358,7 @@ "no FV: averaged time 2024-07-12 19:31:10.331093+00:00, NO2 trop col 8.3048e+15, unc 4.8312e+15\n", "no negative: averaged time 2024-07-12 19:31:10.331093+00:00, NO2 trop col 8.3048e+15, unc 4.8312e+15\n", "no Small: averaged time 2024-07-12 19:31:10.940081+00:00, NO2 trop col 9.6555e+15, unc 4.9418e+15\n", - "177645574_TEMPO_NO2_L2_V04_20240712T203053Z_S012G03_subsetted.nc\n", + "224518215_TEMPO_NO2_L2_V04_20240712T203053Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.817398 -73.908447 7.7985e+15 1.9692e+15 0\n", " 5 660 40.796463 -73.914734 7.7278e+15 1.2511e+15 0\n", @@ -2202,7 +2368,27 @@ "no FV: averaged time 2024-07-12 20:31:10.930812+00:00, NO2 trop col 7.9801e+15, unc 2.6400e+15\n", "no negative: averaged time 2024-07-12 20:31:10.930812+00:00, NO2 trop col 7.9801e+15, unc 2.6400e+15\n", "no Small: averaged time 2024-07-12 20:31:10.930812+00:00, NO2 trop col 7.9801e+15, unc 2.6400e+15\n", - "177645575_TEMPO_NO2_L2_V04_20240712T213053Z_S013G03_subsetted.nc\n", + "224518211_TEMPO_NO2_L2_V04_20240712T163053Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 660 40.817123 -73.916939 1.0735e+16 4.3404e+15 0\n", + " 5 661 40.796215 -73.923210 7.6867e+15 5.5114e+15 0\n", + " 6 660 40.814774 -73.978264 8.2503e+15 8.6323e+15 0\n", + " 6 661 40.794170 -73.984314 3.3164e+15 2.8089e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-12 16:31:10.573025+00:00, NO2 trop col 9.3026e+15, unc 6.7082e+15\n", + "no negative: averaged time 2024-07-12 16:31:10.573025+00:00, NO2 trop col 9.3026e+15, unc 6.7082e+15\n", + "no Small: averaged time 2024-07-12 16:31:09.932212+00:00, NO2 trop col 7.2461e+15, unc 4.2202e+15\n", + "224518212_TEMPO_NO2_L2_V04_20240712T173053Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.820988 -73.928955 7.1748e+15 2.3823e+15 0\n", + " 5 660 40.799995 -73.935272 5.8149e+15 2.4572e+15 0\n", + " 6 659 40.817692 -73.991882 5.4688e+15 2.8999e+15 0\n", + " 6 660 40.796749 -73.998146 7.5968e+15 3.5551e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-12 17:31:09.890924+00:00, NO2 trop col 6.3284e+15, unc 2.5646e+15\n", + "no negative: averaged time 2024-07-12 17:31:09.890924+00:00, NO2 trop col 6.3284e+15, unc 2.5646e+15\n", + "no Small: averaged time 2024-07-12 17:31:09.890924+00:00, NO2 trop col 6.3284e+15, unc 2.5646e+15\n", + "224518216_TEMPO_NO2_L2_V04_20240712T213053Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.832001 -73.922058 6.3283e+15 1.6285e+15 0\n", " 6 660 40.811142 -73.928291 8.0627e+15 2.0225e+15 0\n", @@ -2212,7 +2398,7 @@ "no FV: averaged time 2024-07-12 21:31:13.116160+00:00, NO2 trop col 6.9334e+15, unc 2.4272e+15\n", "no negative: averaged time 2024-07-12 21:31:13.116160+00:00, NO2 trop col 6.9334e+15, unc 2.4272e+15\n", "no Small: averaged time 2024-07-12 21:31:13.116160+00:00, NO2 trop col 6.9334e+15, unc 2.4272e+15\n", - "177645576_TEMPO_NO2_L2_V04_20240712T223053Z_S014G03_subsetted.nc\n", + "224518217_TEMPO_NO2_L2_V04_20240712T223053Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.827503 -73.889397 7.1770e+15 3.1369e+15 0\n", " 5 660 40.806568 -73.895683 8.9585e+15 2.5248e+15 0\n", @@ -2222,7 +2408,7 @@ "no FV: averaged time 2024-07-12 22:31:11.781246+00:00, NO2 trop col 1.0975e+16, unc 5.2983e+15\n", "no negative: averaged time 2024-07-12 22:31:11.781246+00:00, NO2 trop col 1.0975e+16, unc 5.2983e+15\n", "no Small: averaged time 2024-07-12 22:31:11.781246+00:00, NO2 trop col 1.0975e+16, unc 5.2983e+15\n", - "jobID = 91b33dc4-aa6f-4d7d-9aef-9034fa6aae18\n" + "jobID = 109ad5cc-198b-4a7b-8ba1-35bf230aecdd\n" ] }, { @@ -2236,22 +2422,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177645973_TEMPO_NO2_L2_V04_20240713T105046Z_S001G03_subsetted.nc\n", - "./177645974_TEMPO_NO2_L2_V04_20240713T113051Z_S002G03_subsetted.nc\n", - "./177645977_TEMPO_NO2_L2_V04_20240713T133109Z_S005G03_subsetted.nc\n", - "./177645976_TEMPO_NO2_L2_V04_20240713T125101Z_S004G03_subsetted.nc\n", - "./177645975_TEMPO_NO2_L2_V04_20240713T121056Z_S003G03_subsetted.nc\n", - "./177645979_TEMPO_NO2_L2_V04_20240713T153109Z_S007G03_subsetted.nc\n", - "./177645978_TEMPO_NO2_L2_V04_20240713T143109Z_S006G03_subsetted.nc\n", - "./177645980_TEMPO_NO2_L2_V04_20240713T163109Z_S008G03_subsetted.nc\n", - "./177645981_TEMPO_NO2_L2_V04_20240713T173109Z_S009G03_subsetted.nc\n", - "./177645984_TEMPO_NO2_L2_V04_20240713T203109Z_S012G03_subsetted.nc\n", - "./177645986_TEMPO_NO2_L2_V04_20240713T223109Z_S014G03_subsetted.nc\n", - "./177645982_TEMPO_NO2_L2_V04_20240713T183109Z_S010G03_subsetted.nc\n", - "./177645985_TEMPO_NO2_L2_V04_20240713T213109Z_S013G03_subsetted.nc\n", - "./177645983_TEMPO_NO2_L2_V04_20240713T193109Z_S011G03_subsetted.nc\n", + "./224518614_TEMPO_NO2_L2_V04_20240713T105046Z_S001G03_subsetted.nc\n", + "./224518615_TEMPO_NO2_L2_V04_20240713T113051Z_S002G03_subsetted.nc\n", + "./224518618_TEMPO_NO2_L2_V04_20240713T133109Z_S005G03_subsetted.nc\n", + "./224518619_TEMPO_NO2_L2_V04_20240713T143109Z_S006G03_subsetted.nc\n", + "./224518616_TEMPO_NO2_L2_V04_20240713T121056Z_S003G03_subsetted.nc\n", + "./224518617_TEMPO_NO2_L2_V04_20240713T125101Z_S004G03_subsetted.nc\n", + "./224518620_TEMPO_NO2_L2_V04_20240713T153109Z_S007G03_subsetted.nc\n", + "./224518622_TEMPO_NO2_L2_V04_20240713T173109Z_S009G03_subsetted.nc\n", + "./224518621_TEMPO_NO2_L2_V04_20240713T163109Z_S008G03_subsetted.nc\n", + "./224518623_TEMPO_NO2_L2_V04_20240713T183109Z_S010G03_subsetted.nc\n", + "./224518625_TEMPO_NO2_L2_V04_20240713T203109Z_S012G03_subsetted.nc\n", + "./224518626_TEMPO_NO2_L2_V04_20240713T213109Z_S013G03_subsetted.nc\n", + "./224518624_TEMPO_NO2_L2_V04_20240713T193109Z_S011G03_subsetted.nc\n", + "./224518627_TEMPO_NO2_L2_V04_20240713T223109Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177645973_TEMPO_NO2_L2_V04_20240713T105046Z_S001G03_subsetted.nc\n", + "224518614_TEMPO_NO2_L2_V04_20240713T105046Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.829639 -73.938705 2.9835e+15 2.1220e+15 1\n", " 6 660 40.808727 -73.944946 7.8932e+13 2.4438e+15 1\n", @@ -2261,7 +2447,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177645974_TEMPO_NO2_L2_V04_20240713T113051Z_S002G03_subsetted.nc\n", + "224518615_TEMPO_NO2_L2_V04_20240713T113051Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.832561 -73.925850 3.6535e+15 3.0427e+15 0\n", " 6 660 40.811676 -73.932083 5.1942e+15 1.0143e+16 0\n", @@ -2271,7 +2457,7 @@ "no FV: averaged time 2024-07-13 11:31:10.887253+00:00, NO2 trop col 4.2757e+15, unc 7.4987e+15\n", "no negative: averaged time 2024-07-13 11:31:10.887253+00:00, NO2 trop col 4.2757e+15, unc 7.4987e+15\n", "no Small: averaged time 2024-07-13 11:31:11.947618+00:00, NO2 trop col 2.8567e+15, unc 2.2162e+15\n", - "177645977_TEMPO_NO2_L2_V04_20240713T133109Z_S005G03_subsetted.nc\n", + "224518618_TEMPO_NO2_L2_V04_20240713T133109Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.828453 -73.899818 3.8227e+15 2.6894e+15 0\n", " 5 661 40.807446 -73.906166 4.0077e+15 3.4518e+15 0\n", @@ -2281,17 +2467,17 @@ "no FV: averaged time 2024-07-13 13:31:27.211920+00:00, NO2 trop col 4.1686e+15, unc 2.1128e+15\n", "no negative: averaged time 2024-07-13 13:31:27.211920+00:00, NO2 trop col 4.1686e+15, unc 2.1128e+15\n", "no Small: averaged time 2024-07-13 13:31:27.211920+00:00, NO2 trop col 4.1686e+15, unc 2.1128e+15\n", - "177645976_TEMPO_NO2_L2_V04_20240713T125101Z_S004G03_subsetted.nc\n", + "224518619_TEMPO_NO2_L2_V04_20240713T143109Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.826248 -73.897011 3.8800e+15 2.8561e+15 0\n", - " 5 660 40.805325 -73.903305 3.2607e+15 1.8733e+15 0\n", - " 6 659 40.824711 -73.959534 6.8192e+15 6.7358e+15 0\n", - " 6 660 40.803505 -73.965965 3.1823e+15 4.4109e+15 0\n", + " 5 659 40.831074 -73.940155 1.3304e+16 1.6182e+15 0\n", + " 5 660 40.810085 -73.946465 2.5219e+16 3.9249e+15 0\n", + " 6 659 40.828598 -74.001984 2.0345e+16 2.2900e+15 0\n", + " 6 660 40.807449 -74.008377 2.8847e+16 4.8286e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-13 12:51:19.332740+00:00, NO2 trop col 5.1605e+15, unc 5.1802e+15\n", - "no negative: averaged time 2024-07-13 12:51:19.332740+00:00, NO2 trop col 5.1605e+15, unc 5.1802e+15\n", - "no Small: averaged time 2024-07-13 12:51:17.891236+00:00, NO2 trop col 4.6533e+15, unc 3.8218e+15\n", - "177645975_TEMPO_NO2_L2_V04_20240713T121056Z_S003G03_subsetted.nc\n", + "no FV: averaged time 2024-07-13 14:31:25.209414+00:00, NO2 trop col 2.2775e+16, unc 3.3885e+15\n", + "no negative: averaged time 2024-07-13 14:31:25.209414+00:00, NO2 trop col 2.2775e+16, unc 3.3885e+15\n", + "no Small: averaged time 2024-07-13 14:31:25.209414+00:00, NO2 trop col 2.2775e+16, unc 3.3885e+15\n", + "224518616_TEMPO_NO2_L2_V04_20240713T121056Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.820362 -73.906273 6.9387e+15 1.3339e+15 0\n", " 6 661 40.799370 -73.912590 4.6496e+15 1.1003e+15 0\n", @@ -2301,7 +2487,17 @@ "no FV: averaged time 2024-07-13 12:11:16.986850+00:00, NO2 trop col 2.4272e+15, unc 4.5028e+15\n", "no negative: averaged time 2024-07-13 12:11:16.986850+00:00, NO2 trop col 2.4272e+15, unc 4.5028e+15\n", "no Small: averaged time 2024-07-13 12:11:14.929085+00:00, NO2 trop col 5.7942e+15, unc 1.2171e+15\n", - "177645979_TEMPO_NO2_L2_V04_20240713T153109Z_S007G03_subsetted.nc\n", + "224518617_TEMPO_NO2_L2_V04_20240713T125101Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.826248 -73.897011 3.8800e+15 2.8561e+15 0\n", + " 5 660 40.805325 -73.903305 3.2607e+15 1.8733e+15 0\n", + " 6 659 40.824711 -73.959534 6.8192e+15 6.7358e+15 0\n", + " 6 660 40.803505 -73.965965 3.1823e+15 4.4109e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-13 12:51:19.332740+00:00, NO2 trop col 5.1605e+15, unc 5.1802e+15\n", + "no negative: averaged time 2024-07-13 12:51:19.332740+00:00, NO2 trop col 5.1605e+15, unc 5.1802e+15\n", + "no Small: averaged time 2024-07-13 12:51:17.891236+00:00, NO2 trop col 4.6533e+15, unc 3.8218e+15\n", + "224518620_TEMPO_NO2_L2_V04_20240713T153109Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.830925 -73.925301 1.8794e+16 4.8049e+15 0\n", " 5 660 40.809994 -73.931587 2.3591e+16 4.2293e+15 0\n", @@ -2311,17 +2507,17 @@ "no FV: averaged time 2024-07-13 15:31:25.944111+00:00, NO2 trop col 2.0121e+16, unc 3.5263e+15\n", "no negative: averaged time 2024-07-13 15:31:25.944111+00:00, NO2 trop col 2.0121e+16, unc 3.5263e+15\n", "no Small: averaged time 2024-07-13 15:31:25.944111+00:00, NO2 trop col 2.0121e+16, unc 3.5263e+15\n", - "177645978_TEMPO_NO2_L2_V04_20240713T143109Z_S006G03_subsetted.nc\n", + "224518622_TEMPO_NO2_L2_V04_20240713T173109Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.831074 -73.940155 1.3304e+16 1.6182e+15 0\n", - " 5 660 40.810085 -73.946465 2.5219e+16 3.9249e+15 0\n", - " 6 659 40.828598 -74.001984 2.0345e+16 2.2900e+15 0\n", - " 6 660 40.807449 -74.008377 2.8847e+16 4.8286e+15 0\n", + " 5 659 40.816025 -73.938583 8.7376e+15 1.7276e+15 0\n", + " 5 660 40.795094 -73.944862 1.2714e+16 6.3258e+15 0\n", + " 6 659 40.813484 -74.000214 5.1694e+15 4.2680e+15 0\n", + " 6 660 40.792099 -74.006744 5.7198e+15 8.7800e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-13 14:31:25.209414+00:00, NO2 trop col 2.2775e+16, unc 3.3885e+15\n", - "no negative: averaged time 2024-07-13 14:31:25.209414+00:00, NO2 trop col 2.2775e+16, unc 3.3885e+15\n", - "no Small: averaged time 2024-07-13 14:31:25.209414+00:00, NO2 trop col 2.2775e+16, unc 3.3885e+15\n", - "177645980_TEMPO_NO2_L2_V04_20240713T163109Z_S008G03_subsetted.nc\n", + "no FV: averaged time 2024-07-13 17:31:25.504955+00:00, NO2 trop col 8.0967e+15, unc 2.2678e+15\n", + "no negative: averaged time 2024-07-13 17:31:25.504955+00:00, NO2 trop col 8.0967e+15, unc 2.2678e+15\n", + "no Small: averaged time 2024-07-13 17:31:25.504955+00:00, NO2 trop col 8.0967e+15, unc 2.2678e+15\n", + "224518621_TEMPO_NO2_L2_V04_20240713T163109Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.820290 -73.929970 1.2832e+16 9.5801e+15 0\n", " 5 660 40.799282 -73.936295 1.6165e+16 7.4640e+15 0\n", @@ -2331,17 +2527,17 @@ "no FV: averaged time 2024-07-13 16:31:25.855955+00:00, NO2 trop col 1.2560e+16, unc 6.8831e+15\n", "no negative: averaged time 2024-07-13 16:31:25.855955+00:00, NO2 trop col 1.2560e+16, unc 6.8831e+15\n", "no Small: averaged time 2024-07-13 16:31:25.855955+00:00, NO2 trop col 1.2560e+16, unc 6.8831e+15\n", - "177645981_TEMPO_NO2_L2_V04_20240713T173109Z_S009G03_subsetted.nc\n", + "224518623_TEMPO_NO2_L2_V04_20240713T183109Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.816025 -73.938583 8.7376e+15 1.7276e+15 0\n", - " 5 660 40.795094 -73.944862 1.2714e+16 6.3258e+15 0\n", - " 6 659 40.813484 -74.000214 5.1694e+15 4.2680e+15 0\n", - " 6 660 40.792099 -74.006744 5.7198e+15 8.7800e+15 0\n", + " 5 659 40.823288 -73.917938 9.6886e+15 1.3639e+15 0\n", + " 5 660 40.802406 -73.924194 1.1080e+16 1.3765e+15 0\n", + " 6 659 40.820972 -73.979782 6.5673e+15 1.3125e+15 0\n", + " 6 660 40.800709 -73.985634 1.7598e+16 9.6273e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-13 17:31:25.504955+00:00, NO2 trop col 8.0967e+15, unc 2.2678e+15\n", - "no negative: averaged time 2024-07-13 17:31:25.504955+00:00, NO2 trop col 8.0967e+15, unc 2.2678e+15\n", - "no Small: averaged time 2024-07-13 17:31:25.504955+00:00, NO2 trop col 8.0967e+15, unc 2.2678e+15\n", - "177645984_TEMPO_NO2_L2_V04_20240713T203109Z_S012G03_subsetted.nc\n", + "no FV: averaged time 2024-07-13 18:31:26.419173+00:00, NO2 trop col 8.6049e+15, unc 1.3427e+15\n", + "no negative: averaged time 2024-07-13 18:31:26.419173+00:00, NO2 trop col 8.6049e+15, unc 1.3427e+15\n", + "no Small: averaged time 2024-07-13 18:31:26.419173+00:00, NO2 trop col 8.6049e+15, unc 1.3427e+15\n", + "224518625_TEMPO_NO2_L2_V04_20240713T203109Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.833408 -73.892212 1.0036e+16 1.0454e+15 0\n", " 5 659 40.812420 -73.898529 1.1152e+16 1.3571e+15 0\n", @@ -2351,27 +2547,7 @@ "no FV: averaged time 2024-07-13 20:31:27.524307+00:00, NO2 trop col 1.0387e+16, unc 1.1864e+15\n", "no negative: averaged time 2024-07-13 20:31:27.524307+00:00, NO2 trop col 1.0387e+16, unc 1.1864e+15\n", "no Small: averaged time 2024-07-13 20:31:27.524307+00:00, NO2 trop col 1.0387e+16, unc 1.1864e+15\n", - "177645986_TEMPO_NO2_L2_V04_20240713T223109Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 658 40.832859 -73.890396 1.5000e+16 1.2102e+15 0\n", - " 5 659 40.811874 -73.896713 1.3258e+16 1.1080e+15 0\n", - " 6 658 40.831013 -73.952499 1.5088e+16 1.0833e+15 0\n", - " 6 659 40.810009 -73.958809 1.5368e+16 1.2698e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-13 22:31:27.622575+00:00, NO2 trop col 1.5070e+16, unc 1.2069e+15\n", - "no negative: averaged time 2024-07-13 22:31:27.622575+00:00, NO2 trop col 1.5070e+16, unc 1.2069e+15\n", - "no Small: averaged time 2024-07-13 22:31:27.622575+00:00, NO2 trop col 1.5070e+16, unc 1.2069e+15\n", - "177645982_TEMPO_NO2_L2_V04_20240713T183109Z_S010G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.823288 -73.917938 9.6886e+15 1.3639e+15 0\n", - " 5 660 40.802406 -73.924194 1.1080e+16 1.3765e+15 0\n", - " 6 659 40.820972 -73.979782 6.5673e+15 1.3125e+15 0\n", - " 6 660 40.800709 -73.985634 1.7598e+16 9.6273e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-13 18:31:26.419173+00:00, NO2 trop col 8.6049e+15, unc 1.3427e+15\n", - "no negative: averaged time 2024-07-13 18:31:26.419173+00:00, NO2 trop col 8.6049e+15, unc 1.3427e+15\n", - "no Small: averaged time 2024-07-13 18:31:26.419173+00:00, NO2 trop col 8.6049e+15, unc 1.3427e+15\n", - "177645985_TEMPO_NO2_L2_V04_20240713T213109Z_S013G03_subsetted.nc\n", + "224518626_TEMPO_NO2_L2_V04_20240713T213109Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.820415 -73.924553 1.7946e+16 1.7586e+15 0\n", " 6 660 40.799530 -73.930809 1.3326e+16 8.8348e+14 0\n", @@ -2381,7 +2557,7 @@ "no FV: averaged time 2024-07-13 21:31:29.162660+00:00, NO2 trop col 1.6150e+16, unc 1.4749e+15\n", "no negative: averaged time 2024-07-13 21:31:29.162660+00:00, NO2 trop col 1.6150e+16, unc 1.4749e+15\n", "no Small: averaged time 2024-07-13 21:31:29.162660+00:00, NO2 trop col 1.6150e+16, unc 1.4749e+15\n", - "177645983_TEMPO_NO2_L2_V04_20240713T193109Z_S011G03_subsetted.nc\n", + "224518624_TEMPO_NO2_L2_V04_20240713T193109Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.821362 -73.916161 8.4847e+15 7.2455e+14 0\n", " 5 659 40.800461 -73.922424 8.6408e+15 6.6151e+14 0\n", @@ -2391,7 +2567,17 @@ "no FV: averaged time 2024-07-13 19:31:26.527337+00:00, NO2 trop col 7.8798e+15, unc 1.0314e+15\n", "no negative: averaged time 2024-07-13 19:31:26.527337+00:00, NO2 trop col 7.8798e+15, unc 1.0314e+15\n", "no Small: averaged time 2024-07-13 19:31:26.527337+00:00, NO2 trop col 7.8798e+15, unc 1.0314e+15\n", - "jobID = 07d1f776-a7c2-412b-be22-d16ec505a140\n" + "224518627_TEMPO_NO2_L2_V04_20240713T223109Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 658 40.832859 -73.890396 1.5000e+16 1.2102e+15 0\n", + " 5 659 40.811874 -73.896713 1.3258e+16 1.1080e+15 0\n", + " 6 658 40.831013 -73.952499 1.5088e+16 1.0833e+15 0\n", + " 6 659 40.810009 -73.958809 1.5368e+16 1.2698e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-13 22:31:27.622575+00:00, NO2 trop col 1.5070e+16, unc 1.2069e+15\n", + "no negative: averaged time 2024-07-13 22:31:27.622575+00:00, NO2 trop col 1.5070e+16, unc 1.2069e+15\n", + "no Small: averaged time 2024-07-13 22:31:27.622575+00:00, NO2 trop col 1.5070e+16, unc 1.2069e+15\n", + "jobID = b4c33339-5659-401f-a7f7-f28837378a3d\n" ] }, { @@ -2405,32 +2591,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177646142_TEMPO_NO2_L2_V04_20240714T121114Z_S003G03_subsetted.nc\n", - "./177646140_TEMPO_NO2_L2_V04_20240714T105104Z_S001G03_subsetted.nc\n", - "./177646143_TEMPO_NO2_L2_V04_20240714T125119Z_S004G03_subsetted.nc\n", - "./177646144_TEMPO_NO2_L2_V04_20240714T133127Z_S005G03_subsetted.nc\n", - "./177646145_TEMPO_NO2_L2_V04_20240714T143127Z_S006G03_subsetted.nc\n", - "./177646141_TEMPO_NO2_L2_V04_20240714T113109Z_S002G03_subsetted.nc\n", - "./177646146_TEMPO_NO2_L2_V04_20240714T153127Z_S007G03_subsetted.nc\n", - "./177646147_TEMPO_NO2_L2_V04_20240714T163127Z_S008G03_subsetted.nc\n", - "./177646148_TEMPO_NO2_L2_V04_20240714T173127Z_S009G03_subsetted.nc\n", - "./177646150_TEMPO_NO2_L2_V04_20240714T193127Z_S011G03_subsetted.nc\n", - "./177646149_TEMPO_NO2_L2_V04_20240714T183127Z_S010G03_subsetted.nc\n", - "./177646152_TEMPO_NO2_L2_V04_20240714T213127Z_S013G03_subsetted.nc\n", - "./177646151_TEMPO_NO2_L2_V04_20240714T203127Z_S012G03_subsetted.nc\n", - "./177646153_TEMPO_NO2_L2_V04_20240714T223127Z_S014G03_subsetted.nc\n", + "./224519017_TEMPO_NO2_L2_V04_20240714T105104Z_S001G03_subsetted.nc\n", + "./224519019_TEMPO_NO2_L2_V04_20240714T121114Z_S003G03_subsetted.nc\n", + "./224519018_TEMPO_NO2_L2_V04_20240714T113109Z_S002G03_subsetted.nc\n", + "./224519020_TEMPO_NO2_L2_V04_20240714T125119Z_S004G03_subsetted.nc\n", + "./224519021_TEMPO_NO2_L2_V04_20240714T133127Z_S005G03_subsetted.nc\n", + "./224519022_TEMPO_NO2_L2_V04_20240714T143127Z_S006G03_subsetted.nc\n", + "./224519023_TEMPO_NO2_L2_V04_20240714T153127Z_S007G03_subsetted.nc\n", + "./224519024_TEMPO_NO2_L2_V04_20240714T163127Z_S008G03_subsetted.nc\n", + "./224519025_TEMPO_NO2_L2_V04_20240714T173127Z_S009G03_subsetted.nc\n", + "./224519026_TEMPO_NO2_L2_V04_20240714T183127Z_S010G03_subsetted.nc\n", + "./224519029_TEMPO_NO2_L2_V04_20240714T213127Z_S013G03_subsetted.nc\n", + "./224519028_TEMPO_NO2_L2_V04_20240714T203127Z_S012G03_subsetted.nc\n", + "./224519027_TEMPO_NO2_L2_V04_20240714T193127Z_S011G03_subsetted.nc\n", + "./224519030_TEMPO_NO2_L2_V04_20240714T223127Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177646142_TEMPO_NO2_L2_V04_20240714T121114Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.816261 -73.936264 7.7859e+15 1.1947e+15 0\n", - " 6 661 40.795258 -73.942574 7.8755e+15 1.0233e+15 0\n", - " 7 660 40.813507 -73.999443 5.5422e+15 9.8857e+14 0\n", - " 7 661 40.792164 -74.005943 8.8013e+15 9.8285e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-14 12:11:33.594399+00:00, NO2 trop col 7.2855e+15, unc 1.1458e+15\n", - "no negative: averaged time 2024-07-14 12:11:33.594399+00:00, NO2 trop col 7.2855e+15, unc 1.1458e+15\n", - "no Small: averaged time 2024-07-14 12:11:33.594399+00:00, NO2 trop col 7.2855e+15, unc 1.1458e+15\n", - "177646140_TEMPO_NO2_L2_V04_20240714T105104Z_S001G03_subsetted.nc\n", + "224519017_TEMPO_NO2_L2_V04_20240714T105104Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.836788 -73.893112 1.0664e+16 1.5113e+15 1\n", " 5 661 40.815750 -73.899452 1.1078e+16 1.4850e+15 1\n", @@ -2440,17 +2616,37 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177646143_TEMPO_NO2_L2_V04_20240714T125119Z_S004G03_subsetted.nc\n", + "224519019_TEMPO_NO2_L2_V04_20240714T121114Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.824245 -73.897758 7.6624e+15 1.1620e+15 0\n", - " 5 660 40.803314 -73.904045 6.2456e+15 7.7885e+14 0\n", - " 6 659 40.821556 -73.959694 7.6117e+15 1.3192e+15 0\n", - " 6 660 40.800365 -73.966125 7.0890e+15 1.0431e+15 0\n", + " 6 660 40.816261 -73.936264 7.7859e+15 1.1947e+15 0\n", + " 6 661 40.795258 -73.942574 7.8755e+15 1.0233e+15 0\n", + " 7 660 40.813507 -73.999443 5.5422e+15 9.8857e+14 0\n", + " 7 661 40.792164 -74.005943 8.8013e+15 9.8285e+14 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-14 12:51:37.369258+00:00, NO2 trop col 7.2913e+15, unc 1.1828e+15\n", + "no FV: averaged time 2024-07-14 12:11:33.594399+00:00, NO2 trop col 7.2855e+15, unc 1.1458e+15\n", + "no negative: averaged time 2024-07-14 12:11:33.594399+00:00, NO2 trop col 7.2855e+15, unc 1.1458e+15\n", + "no Small: averaged time 2024-07-14 12:11:33.594399+00:00, NO2 trop col 7.2855e+15, unc 1.1458e+15\n", + "224519018_TEMPO_NO2_L2_V04_20240714T113109Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.825642 -73.932304 7.4550e+15 1.1192e+15 0\n", + " 6 661 40.804684 -73.938576 6.8528e+15 1.1572e+15 0\n", + " 7 660 40.822544 -73.994637 7.6676e+15 1.3139e+15 0\n", + " 7 661 40.801319 -74.001053 1.0068e+16 1.3578e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-14 11:31:28.673675+00:00, NO2 trop col 7.2320e+15, unc 1.1844e+15\n", + "no negative: averaged time 2024-07-14 11:31:28.673675+00:00, NO2 trop col 7.2320e+15, unc 1.1844e+15\n", + "no Small: averaged time 2024-07-14 11:31:28.673675+00:00, NO2 trop col 7.2320e+15, unc 1.1844e+15\n", + "224519020_TEMPO_NO2_L2_V04_20240714T125119Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.824245 -73.897758 7.6624e+15 1.1620e+15 0\n", + " 5 660 40.803314 -73.904045 6.2456e+15 7.7885e+14 0\n", + " 6 659 40.821556 -73.959694 7.6117e+15 1.3192e+15 0\n", + " 6 660 40.800365 -73.966125 7.0890e+15 1.0431e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-14 12:51:37.369258+00:00, NO2 trop col 7.2913e+15, unc 1.1828e+15\n", "no negative: averaged time 2024-07-14 12:51:37.369258+00:00, NO2 trop col 7.2913e+15, unc 1.1828e+15\n", "no Small: averaged time 2024-07-14 12:51:37.369258+00:00, NO2 trop col 7.2913e+15, unc 1.1828e+15\n", - "177646144_TEMPO_NO2_L2_V04_20240714T133127Z_S005G03_subsetted.nc\n", + "224519021_TEMPO_NO2_L2_V04_20240714T133127Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.824474 -73.924110 7.0306e+15 1.0467e+15 0\n", " 5 661 40.803570 -73.930374 5.0805e+15 6.2228e+14 0\n", @@ -2460,7 +2656,7 @@ "no FV: averaged time 2024-07-14 13:31:44.091524+00:00, NO2 trop col 5.2494e+15, unc 7.3611e+14\n", "no negative: averaged time 2024-07-14 13:31:44.091524+00:00, NO2 trop col 5.2494e+15, unc 7.3611e+14\n", "no Small: averaged time 2024-07-14 13:31:44.091524+00:00, NO2 trop col 5.2494e+15, unc 7.3611e+14\n", - "177646145_TEMPO_NO2_L2_V04_20240714T143127Z_S006G03_subsetted.nc\n", + "224519022_TEMPO_NO2_L2_V04_20240714T143127Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.833652 -73.885101 3.8382e+15 6.0586e+14 0\n", " 4 660 40.812641 -73.891457 5.4317e+15 8.1878e+14 0\n", @@ -2470,17 +2666,7 @@ "no FV: averaged time 2024-07-14 14:31:42.836361+00:00, NO2 trop col 5.6889e+15, unc 8.8292e+14\n", "no negative: averaged time 2024-07-14 14:31:42.836361+00:00, NO2 trop col 5.6889e+15, unc 8.8292e+14\n", "no Small: averaged time 2024-07-14 14:31:42.836361+00:00, NO2 trop col 5.6889e+15, unc 8.8292e+14\n", - "177646141_TEMPO_NO2_L2_V04_20240714T113109Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.825642 -73.932304 7.4550e+15 1.1192e+15 0\n", - " 6 661 40.804684 -73.938576 6.8528e+15 1.1572e+15 0\n", - " 7 660 40.822544 -73.994637 7.6676e+15 1.3139e+15 0\n", - " 7 661 40.801319 -74.001053 1.0068e+16 1.3578e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-14 11:31:28.673675+00:00, NO2 trop col 7.2320e+15, unc 1.1844e+15\n", - "no negative: averaged time 2024-07-14 11:31:28.673675+00:00, NO2 trop col 7.2320e+15, unc 1.1844e+15\n", - "no Small: averaged time 2024-07-14 11:31:28.673675+00:00, NO2 trop col 7.2320e+15, unc 1.1844e+15\n", - "177646146_TEMPO_NO2_L2_V04_20240714T153127Z_S007G03_subsetted.nc\n", + "224519023_TEMPO_NO2_L2_V04_20240714T153127Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.835678 -73.943443 7.7946e+15 9.1324e+14 0\n", " 5 659 40.814754 -73.949730 6.3771e+15 8.6747e+14 0\n", @@ -2490,7 +2676,7 @@ "no FV: averaged time 2024-07-14 15:31:42.961719+00:00, NO2 trop col 6.3863e+15, unc 8.6544e+14\n", "no negative: averaged time 2024-07-14 15:31:42.961719+00:00, NO2 trop col 6.3863e+15, unc 8.6544e+14\n", "no Small: averaged time 2024-07-14 15:31:42.961719+00:00, NO2 trop col 6.3863e+15, unc 8.6544e+14\n", - "177646147_TEMPO_NO2_L2_V04_20240714T163127Z_S008G03_subsetted.nc\n", + "224519024_TEMPO_NO2_L2_V04_20240714T163127Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.825558 -73.924988 8.1066e+15 5.3908e+14 0\n", " 5 660 40.804634 -73.931267 1.0270e+16 6.3150e+14 0\n", @@ -2500,7 +2686,7 @@ "no FV: averaged time 2024-07-14 16:31:44.031324+00:00, NO2 trop col 8.7858e+15, unc 6.3610e+14\n", "no negative: averaged time 2024-07-14 16:31:44.031324+00:00, NO2 trop col 8.7858e+15, unc 6.3610e+14\n", "no Small: averaged time 2024-07-14 16:31:44.031324+00:00, NO2 trop col 8.7858e+15, unc 6.3610e+14\n", - "177646148_TEMPO_NO2_L2_V04_20240714T173127Z_S009G03_subsetted.nc\n", + "224519025_TEMPO_NO2_L2_V04_20240714T173127Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.817982 -73.932465 8.3126e+15 1.3592e+16 0\n", " 5 660 40.796963 -73.938805 1.2664e+16 2.1669e+15 0\n", @@ -2510,17 +2696,7 @@ "no FV: averaged time 2024-07-14 17:31:43.772356+00:00, NO2 trop col 9.3500e+15, unc 1.1555e+16\n", "no negative: averaged time 2024-07-14 17:31:43.772356+00:00, NO2 trop col 9.3500e+15, unc 1.1555e+16\n", "no Small: averaged time 2024-07-14 17:31:44.444062+00:00, NO2 trop col 1.1618e+16, unc 6.1464e+15\n", - "177646150_TEMPO_NO2_L2_V04_20240714T193127Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.817924 -73.925636 1.7655e+16 1.0488e+15 0\n", - " 5 660 40.796967 -73.931938 8.8124e+15 4.1896e+15 0\n", - " 6 659 40.815308 -73.988960 7.9734e+15 2.1763e+15 0\n", - " 6 660 40.794579 -73.995094 7.7337e+15 4.4945e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-14 19:31:44.093138+00:00, NO2 trop col 1.3246e+16, unc 1.7252e+15\n", - "no negative: averaged time 2024-07-14 19:31:44.093138+00:00, NO2 trop col 1.3246e+16, unc 1.7252e+15\n", - "no Small: averaged time 2024-07-14 19:31:44.093138+00:00, NO2 trop col 1.3246e+16, unc 1.7252e+15\n", - "177646149_TEMPO_NO2_L2_V04_20240714T183127Z_S010G03_subsetted.nc\n", + "224519026_TEMPO_NO2_L2_V04_20240714T183127Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.818439 -73.920563 9.6970e+15 5.7511e+15 0\n", " 5 660 40.797573 -73.926811 1.2786e+16 2.3021e+15 0\n", @@ -2530,7 +2706,7 @@ "no FV: averaged time 2024-07-14 18:31:44.362137+00:00, NO2 trop col 1.2077e+16, unc 6.7746e+15\n", "no negative: averaged time 2024-07-14 18:31:44.362137+00:00, NO2 trop col 1.2077e+16, unc 6.7746e+15\n", "no Small: averaged time 2024-07-14 18:31:44.362137+00:00, NO2 trop col 1.2077e+16, unc 6.7746e+15\n", - "177646152_TEMPO_NO2_L2_V04_20240714T213127Z_S013G03_subsetted.nc\n", + "224519029_TEMPO_NO2_L2_V04_20240714T213127Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.818546 -73.906555 7.4245e+15 2.6355e+15 0\n", " 5 660 40.797588 -73.912857 1.0313e+16 2.4151e+15 0\n", @@ -2540,7 +2716,7 @@ "no FV: averaged time 2024-07-14 21:31:45.045812+00:00, NO2 trop col 7.1408e+15, unc 4.0890e+15\n", "no negative: averaged time 2024-07-14 21:31:45.045812+00:00, NO2 trop col 7.1408e+15, unc 4.0890e+15\n", "no Small: averaged time 2024-07-14 21:31:45.045812+00:00, NO2 trop col 7.1408e+15, unc 4.0890e+15\n", - "177646151_TEMPO_NO2_L2_V04_20240714T203127Z_S012G03_subsetted.nc\n", + "224519028_TEMPO_NO2_L2_V04_20240714T203127Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.823277 -73.904640 5.0061e+15 7.8158e+15 0\n", " 5 659 40.802261 -73.910980 9.5345e+15 6.7848e+15 0\n", @@ -2550,7 +2726,17 @@ "no FV: averaged time 2024-07-14 20:31:45.072801+00:00, NO2 trop col 6.5636e+15, unc 4.5055e+15\n", "no negative: averaged time 2024-07-14 20:31:45.072801+00:00, NO2 trop col 6.5636e+15, unc 4.5055e+15\n", "no Small: averaged time 2024-07-14 20:31:45.072801+00:00, NO2 trop col 6.5636e+15, unc 4.5055e+15\n", - "177646153_TEMPO_NO2_L2_V04_20240714T223127Z_S014G03_subsetted.nc\n", + "224519027_TEMPO_NO2_L2_V04_20240714T193127Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.817924 -73.925636 1.7655e+16 1.0488e+15 0\n", + " 5 660 40.796967 -73.931938 8.8124e+15 4.1896e+15 0\n", + " 6 659 40.815308 -73.988960 7.9734e+15 2.1763e+15 0\n", + " 6 660 40.794579 -73.995094 7.7337e+15 4.4945e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-14 19:31:44.093138+00:00, NO2 trop col 1.3246e+16, unc 1.7252e+15\n", + "no negative: averaged time 2024-07-14 19:31:44.093138+00:00, NO2 trop col 1.3246e+16, unc 1.7252e+15\n", + "no Small: averaged time 2024-07-14 19:31:44.093138+00:00, NO2 trop col 1.3246e+16, unc 1.7252e+15\n", + "224519030_TEMPO_NO2_L2_V04_20240714T223127Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.826855 -73.893486 1.2672e+16 1.0116e+15 0\n", " 5 660 40.805950 -73.899757 1.2715e+16 1.0606e+15 0\n", @@ -2560,7 +2746,7 @@ "no FV: averaged time 2024-07-14 22:31:45.519820+00:00, NO2 trop col 1.0298e+16, unc 9.5994e+14\n", "no negative: averaged time 2024-07-14 22:31:45.519820+00:00, NO2 trop col 1.0298e+16, unc 9.5994e+14\n", "no Small: averaged time 2024-07-14 22:31:45.519820+00:00, NO2 trop col 1.0298e+16, unc 9.5994e+14\n", - "jobID = 45b4fe15-1c64-4ef6-8d3c-1bba95aab8ac\n" + "jobID = aee84d38-79cf-4fa8-9b4c-b82c86cac1c2\n" ] }, { @@ -2574,22 +2760,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177646165_TEMPO_NO2_L2_V04_20240715T105122Z_S001G03_subsetted.nc\n", - "./177646167_TEMPO_NO2_L2_V04_20240715T121132Z_S003G03_subsetted.nc\n", - "./177646169_TEMPO_NO2_L2_V04_20240715T133145Z_S005G03_subsetted.nc\n", - "./177646168_TEMPO_NO2_L2_V04_20240715T125137Z_S004G03_subsetted.nc\n", - "./177646170_TEMPO_NO2_L2_V04_20240715T143145Z_S006G03_subsetted.nc\n", - "./177646171_TEMPO_NO2_L2_V04_20240715T153145Z_S007G03_subsetted.nc\n", - "./177646166_TEMPO_NO2_L2_V04_20240715T113127Z_S002G03_subsetted.nc\n", - "./177646173_TEMPO_NO2_L2_V04_20240715T173145Z_S009G03_subsetted.nc\n", - "./177646174_TEMPO_NO2_L2_V04_20240715T183145Z_S010G03_subsetted.nc\n", - "./177646172_TEMPO_NO2_L2_V04_20240715T163145Z_S008G03_subsetted.nc\n", - "./177646175_TEMPO_NO2_L2_V04_20240715T193145Z_S011G03_subsetted.nc\n", - "./177646177_TEMPO_NO2_L2_V04_20240715T213145Z_S013G03_subsetted.nc\n", - "./177646176_TEMPO_NO2_L2_V04_20240715T203145Z_S012G03_subsetted.nc\n", - "./177646178_TEMPO_NO2_L2_V04_20240715T223014Z_S014G03_subsetted.nc\n", + "./224519456_TEMPO_NO2_L2_V04_20240715T105122Z_S001G03_subsetted.nc\n", + "./224519457_TEMPO_NO2_L2_V04_20240715T113127Z_S002G03_subsetted.nc\n", + "./224519458_TEMPO_NO2_L2_V04_20240715T121132Z_S003G03_subsetted.nc\n", + "./224519459_TEMPO_NO2_L2_V04_20240715T125137Z_S004G03_subsetted.nc\n", + "./224519461_TEMPO_NO2_L2_V04_20240715T143145Z_S006G03_subsetted.nc\n", + "./224519462_TEMPO_NO2_L2_V04_20240715T153145Z_S007G03_subsetted.nc\n", + "./224519460_TEMPO_NO2_L2_V04_20240715T133145Z_S005G03_subsetted.nc\n", + "./224519463_TEMPO_NO2_L2_V04_20240715T163145Z_S008G03_subsetted.nc\n", + "./224519464_TEMPO_NO2_L2_V04_20240715T173145Z_S009G03_subsetted.nc\n", + "./224519465_TEMPO_NO2_L2_V04_20240715T183145Z_S010G03_subsetted.nc\n", + "./224519466_TEMPO_NO2_L2_V04_20240715T193145Z_S011G03_subsetted.nc\n", + "./224519468_TEMPO_NO2_L2_V04_20240715T213145Z_S013G03_subsetted.nc\n", + "./224519467_TEMPO_NO2_L2_V04_20240715T203145Z_S012G03_subsetted.nc\n", + "./224519469_TEMPO_NO2_L2_V04_20240715T223014Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177646165_TEMPO_NO2_L2_V04_20240715T105122Z_S001G03_subsetted.nc\n", + "224519456_TEMPO_NO2_L2_V04_20240715T105122Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.819969 -73.909721 2.6839e+15 8.1147e+14 1\n", " 5 661 40.799000 -73.916016 1.7361e+15 9.3313e+14 1\n", @@ -2599,7 +2785,17 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177646167_TEMPO_NO2_L2_V04_20240715T121132Z_S003G03_subsetted.nc\n", + "224519457_TEMPO_NO2_L2_V04_20240715T113127Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.823864 -73.944992 4.6220e+15 6.9616e+14 0\n", + " 6 661 40.802826 -73.951317 7.1771e+15 7.6826e+14 0\n", + " 7 660 40.822197 -74.006050 5.6308e+15 7.4293e+14 0\n", + " 7 661 40.800907 -74.012497 6.5243e+15 7.5770e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-15 11:31:46.062047+00:00, NO2 trop col 5.7012e+15, unc 7.2750e+14\n", + "no negative: averaged time 2024-07-15 11:31:46.062047+00:00, NO2 trop col 5.7012e+15, unc 7.2750e+14\n", + "no Small: averaged time 2024-07-15 11:31:46.062047+00:00, NO2 trop col 5.7012e+15, unc 7.2750e+14\n", + "224519458_TEMPO_NO2_L2_V04_20240715T121132Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.815563 -73.947220 8.1855e+15 8.1760e+14 0\n", " 6 661 40.794720 -73.953430 9.4421e+15 8.6564e+14 0\n", @@ -2609,17 +2805,7 @@ "no FV: averaged time 2024-07-15 12:11:51.077559+00:00, NO2 trop col 8.3414e+15, unc 8.2026e+14\n", "no negative: averaged time 2024-07-15 12:11:51.077559+00:00, NO2 trop col 8.3414e+15, unc 8.2026e+14\n", "no Small: averaged time 2024-07-15 12:11:51.077559+00:00, NO2 trop col 8.3414e+15, unc 8.2026e+14\n", - "177646169_TEMPO_NO2_L2_V04_20240715T133145Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.835400 -73.923691 7.7699e+15 4.7692e+14 0\n", - " 5 661 40.814629 -73.929878 1.1533e+16 6.9056e+14 0\n", - " 6 660 40.832573 -73.986748 6.8043e+15 7.3204e+14 0\n", - " 6 661 40.811504 -73.993095 5.0527e+15 5.2555e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-15 13:32:01.938956+00:00, NO2 trop col 9.5088e+15, unc 6.5220e+14\n", - "no negative: averaged time 2024-07-15 13:32:01.938956+00:00, NO2 trop col 9.5088e+15, unc 6.5220e+14\n", - "no Small: averaged time 2024-07-15 13:32:01.938956+00:00, NO2 trop col 9.5088e+15, unc 6.5220e+14\n", - "177646168_TEMPO_NO2_L2_V04_20240715T125137Z_S004G03_subsetted.nc\n", + "224519459_TEMPO_NO2_L2_V04_20240715T125137Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.819679 -73.918694 9.1230e+15 7.7669e+14 0\n", " 5 661 40.798805 -73.924942 5.4764e+15 5.0154e+14 0\n", @@ -2629,7 +2815,7 @@ "no FV: averaged time 2024-07-15 12:51:54.394318+00:00, NO2 trop col 9.9930e+15, unc 8.9535e+14\n", "no negative: averaged time 2024-07-15 12:51:54.394318+00:00, NO2 trop col 9.9930e+15, unc 8.9535e+14\n", "no Small: averaged time 2024-07-15 12:51:54.394318+00:00, NO2 trop col 9.9930e+15, unc 8.9535e+14\n", - "177646170_TEMPO_NO2_L2_V04_20240715T143145Z_S006G03_subsetted.nc\n", + "224519461_TEMPO_NO2_L2_V04_20240715T143145Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.832535 -73.945053 1.6168e+16 2.6319e+15 0\n", " 5 660 40.811478 -73.951408 1.9307e+16 2.1835e+15 0\n", @@ -2639,7 +2825,7 @@ "no FV: averaged time 2024-07-15 14:32:00.933559+00:00, NO2 trop col 1.8730e+16, unc 2.2681e+15\n", "no negative: averaged time 2024-07-15 14:32:00.933559+00:00, NO2 trop col 1.8730e+16, unc 2.2681e+15\n", "no Small: averaged time 2024-07-15 14:32:00.933559+00:00, NO2 trop col 1.8730e+16, unc 2.2681e+15\n", - "177646171_TEMPO_NO2_L2_V04_20240715T153145Z_S007G03_subsetted.nc\n", + "224519462_TEMPO_NO2_L2_V04_20240715T153145Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.828201 -73.895409 1.8242e+16 1.4016e+16 0\n", " 4 660 40.807308 -73.901680 1.1084e+16 1.3441e+16 0\n", @@ -2649,17 +2835,27 @@ "no FV: averaged time 2024-07-15 15:32:00.392865+00:00, NO2 trop col 1.1196e+16, unc 6.1132e+15\n", "no negative: averaged time 2024-07-15 15:32:00.392865+00:00, NO2 trop col 1.1196e+16, unc 6.1132e+15\n", "no Small: averaged time 2024-07-15 15:32:00.392366+00:00, NO2 trop col 1.3480e+16, unc 6.4349e+15\n", - "177646166_TEMPO_NO2_L2_V04_20240715T113127Z_S002G03_subsetted.nc\n", + "224519460_TEMPO_NO2_L2_V04_20240715T133145Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.823864 -73.944992 4.6220e+15 6.9616e+14 0\n", - " 6 661 40.802826 -73.951317 7.1771e+15 7.6826e+14 0\n", - " 7 660 40.822197 -74.006050 5.6308e+15 7.4293e+14 0\n", - " 7 661 40.800907 -74.012497 6.5243e+15 7.5770e+14 0\n", + " 5 660 40.835400 -73.923691 7.7699e+15 4.7692e+14 0\n", + " 5 661 40.814629 -73.929878 1.1533e+16 6.9056e+14 0\n", + " 6 660 40.832573 -73.986748 6.8043e+15 7.3204e+14 0\n", + " 6 661 40.811504 -73.993095 5.0527e+15 5.2555e+14 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-15 11:31:46.062047+00:00, NO2 trop col 5.7012e+15, unc 7.2750e+14\n", - "no negative: averaged time 2024-07-15 11:31:46.062047+00:00, NO2 trop col 5.7012e+15, unc 7.2750e+14\n", - "no Small: averaged time 2024-07-15 11:31:46.062047+00:00, NO2 trop col 5.7012e+15, unc 7.2750e+14\n", - "177646173_TEMPO_NO2_L2_V04_20240715T173145Z_S009G03_subsetted.nc\n", + "no FV: averaged time 2024-07-15 13:32:01.938956+00:00, NO2 trop col 9.5088e+15, unc 6.5220e+14\n", + "no negative: averaged time 2024-07-15 13:32:01.938956+00:00, NO2 trop col 9.5088e+15, unc 6.5220e+14\n", + "no Small: averaged time 2024-07-15 13:32:01.938956+00:00, NO2 trop col 9.5088e+15, unc 6.5220e+14\n", + "224519463_TEMPO_NO2_L2_V04_20240715T163145Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.823799 -73.940994 2.5590e+16 4.5488e+15 0\n", + " 5 660 40.802906 -73.947243 1.8529e+16 4.5467e+15 0\n", + " 6 659 40.821690 -74.002182 1.5475e+16 1.0019e+15 0\n", + " 6 660 40.800297 -74.008720 1.9891e+16 1.8605e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-15 16:32:01.264664+00:00, NO2 trop col 2.1636e+16, unc 4.1401e+15\n", + "no negative: averaged time 2024-07-15 16:32:01.264664+00:00, NO2 trop col 2.1636e+16, unc 4.1401e+15\n", + "no Small: averaged time 2024-07-15 16:32:01.264664+00:00, NO2 trop col 2.1636e+16, unc 4.1401e+15\n", + "224519464_TEMPO_NO2_L2_V04_20240715T173145Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.818928 -73.941414 2.3722e+16 1.5552e+15 0\n", " 5 660 40.798058 -73.947647 1.3325e+16 6.4005e+14 0\n", @@ -2669,7 +2865,7 @@ "no FV: averaged time 2024-07-15 17:32:01.311056+00:00, NO2 trop col 2.0715e+16, unc 1.4333e+15\n", "no negative: averaged time 2024-07-15 17:32:01.311056+00:00, NO2 trop col 2.0715e+16, unc 1.4333e+15\n", "no Small: averaged time 2024-07-15 17:32:01.311056+00:00, NO2 trop col 2.0715e+16, unc 1.4333e+15\n", - "177646174_TEMPO_NO2_L2_V04_20240715T183145Z_S010G03_subsetted.nc\n", + "224519465_TEMPO_NO2_L2_V04_20240715T183145Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.831993 -73.927094 1.4492e+16 7.1471e+14 0\n", " 6 660 40.811096 -73.933350 1.3127e+16 6.4104e+14 0\n", @@ -2679,17 +2875,7 @@ "no FV: averaged time 2024-07-15 18:32:04.873378+00:00, NO2 trop col 1.2110e+16, unc 7.1008e+14\n", "no negative: averaged time 2024-07-15 18:32:04.873378+00:00, NO2 trop col 1.2110e+16, unc 7.1008e+14\n", "no Small: averaged time 2024-07-15 18:32:04.873378+00:00, NO2 trop col 1.2110e+16, unc 7.1008e+14\n", - "177646172_TEMPO_NO2_L2_V04_20240715T163145Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.823799 -73.940994 2.5590e+16 4.5488e+15 0\n", - " 5 660 40.802906 -73.947243 1.8529e+16 4.5467e+15 0\n", - " 6 659 40.821690 -74.002182 1.5475e+16 1.0019e+15 0\n", - " 6 660 40.800297 -74.008720 1.9891e+16 1.8605e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-15 16:32:01.264664+00:00, NO2 trop col 2.1636e+16, unc 4.1401e+15\n", - "no negative: averaged time 2024-07-15 16:32:01.264664+00:00, NO2 trop col 2.1636e+16, unc 4.1401e+15\n", - "no Small: averaged time 2024-07-15 16:32:01.264664+00:00, NO2 trop col 2.1636e+16, unc 4.1401e+15\n", - "177646175_TEMPO_NO2_L2_V04_20240715T193145Z_S011G03_subsetted.nc\n", + "224519466_TEMPO_NO2_L2_V04_20240715T193145Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.826462 -73.893311 1.3555e+16 7.3050e+14 0\n", " 5 659 40.805569 -73.899582 1.2361e+16 6.7990e+14 0\n", @@ -2699,7 +2885,7 @@ "no FV: averaged time 2024-07-15 19:32:03.610392+00:00, NO2 trop col 1.1827e+16, unc 1.0641e+15\n", "no negative: averaged time 2024-07-15 19:32:03.610392+00:00, NO2 trop col 1.1827e+16, unc 1.0641e+15\n", "no Small: averaged time 2024-07-15 19:32:03.610392+00:00, NO2 trop col 1.1827e+16, unc 1.0641e+15\n", - "177646177_TEMPO_NO2_L2_V04_20240715T213145Z_S013G03_subsetted.nc\n", + "224519468_TEMPO_NO2_L2_V04_20240715T213145Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.822285 -73.905945 1.7851e+16 8.5952e+14 0\n", " 6 660 40.801289 -73.912270 1.5577e+16 8.0721e+14 0\n", @@ -2709,7 +2895,7 @@ "no FV: averaged time 2024-07-15 21:32:06.054804+00:00, NO2 trop col 1.4802e+16, unc 9.3191e+14\n", "no negative: averaged time 2024-07-15 21:32:06.054804+00:00, NO2 trop col 1.4802e+16, unc 9.3191e+14\n", "no Small: averaged time 2024-07-15 21:32:06.054804+00:00, NO2 trop col 1.4802e+16, unc 9.3191e+14\n", - "177646176_TEMPO_NO2_L2_V04_20240715T203145Z_S012G03_subsetted.nc\n", + "224519467_TEMPO_NO2_L2_V04_20240715T203145Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 658 40.833000 -73.909767 1.6157e+16 8.8599e+14 0\n", " 6 659 40.812012 -73.916092 1.1780e+16 6.0062e+14 0\n", @@ -2719,7 +2905,7 @@ "no FV: averaged time 2024-07-15 20:32:05.748166+00:00, NO2 trop col 8.8991e+15, unc 7.0892e+14\n", "no negative: averaged time 2024-07-15 20:32:05.748166+00:00, NO2 trop col 8.8991e+15, unc 7.0892e+14\n", "no Small: averaged time 2024-07-15 20:32:05.748166+00:00, NO2 trop col 8.8991e+15, unc 7.0892e+14\n", - "177646178_TEMPO_NO2_L2_V04_20240715T223014Z_S014G03_subsetted.nc\n", + "224519469_TEMPO_NO2_L2_V04_20240715T223014Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 10 658 40.826767 -73.934074 1.1113e+16 7.4303e+14 0\n", " 10 659 40.805874 -73.940331 1.2118e+16 9.7305e+14 0\n", @@ -2729,7 +2915,7 @@ "no FV: averaged time 2024-07-15 22:32:04.603818+00:00, NO2 trop col 1.0916e+16, unc 9.3026e+14\n", "no negative: averaged time 2024-07-15 22:32:04.603818+00:00, NO2 trop col 1.0916e+16, unc 9.3026e+14\n", "no Small: averaged time 2024-07-15 22:32:04.603818+00:00, NO2 trop col 1.0916e+16, unc 9.3026e+14\n", - "jobID = b0f6dbb6-fbb6-481b-8661-5921d0862ac9\n" + "jobID = 400a640e-a16a-400d-9a7f-720694116f63\n" ] }, { @@ -2743,22 +2929,32 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177646283_TEMPO_NO2_L2_V04_20240716T104134Z_S001G03_subsetted.nc\n", - "./177646284_TEMPO_NO2_L2_V04_20240716T112139Z_S002G03_subsetted.nc\n", - "./177646286_TEMPO_NO2_L2_V04_20240716T124149Z_S004G03_subsetted.nc\n", - "./177646287_TEMPO_NO2_L2_V04_20240716T132154Z_S005G03_subsetted.nc\n", - "./177646285_TEMPO_NO2_L2_V04_20240716T120144Z_S003G03_subsetted.nc\n", - "./177646288_TEMPO_NO2_L2_V04_20240716T140202Z_S006G03_subsetted.nc\n", - "./177646289_TEMPO_NO2_L2_V04_20240716T150202Z_S007G03_subsetted.nc\n", - "./177646293_TEMPO_NO2_L2_V04_20240716T190202Z_S011G03_subsetted.nc\n", - "./177646294_TEMPO_NO2_L2_V04_20240716T200202Z_S012G03_subsetted.nc\n", - "./177646291_TEMPO_NO2_L2_V04_20240716T170202Z_S009G03_subsetted.nc\n", - "./177646296_TEMPO_NO2_L2_V04_20240716T220202Z_S014G03_subsetted.nc\n", - "./177646290_TEMPO_NO2_L2_V04_20240716T160202Z_S008G03_subsetted.nc\n", - "./177646295_TEMPO_NO2_L2_V04_20240716T210202Z_S013G03_subsetted.nc\n", - "./177646292_TEMPO_NO2_L2_V04_20240716T180202Z_S010G03_subsetted.nc\n", + "./224519842_TEMPO_NO2_L2_V04_20240716T112139Z_S002G03_subsetted.nc\n", + "./224519841_TEMPO_NO2_L2_V04_20240716T104134Z_S001G03_subsetted.nc\n", + "./224519843_TEMPO_NO2_L2_V04_20240716T120144Z_S003G03_subsetted.nc\n", + "./224519844_TEMPO_NO2_L2_V04_20240716T124149Z_S004G03_subsetted.nc\n", + "./224519845_TEMPO_NO2_L2_V04_20240716T132154Z_S005G03_subsetted.nc\n", + "./224519846_TEMPO_NO2_L2_V04_20240716T140202Z_S006G03_subsetted.nc\n", + "./224519847_TEMPO_NO2_L2_V04_20240716T150202Z_S007G03_subsetted.nc\n", + "./224519849_TEMPO_NO2_L2_V04_20240716T170202Z_S009G03_subsetted.nc\n", + "./224519848_TEMPO_NO2_L2_V04_20240716T160202Z_S008G03_subsetted.nc\n", + "./224519850_TEMPO_NO2_L2_V04_20240716T180202Z_S010G03_subsetted.nc\n", + "./224519853_TEMPO_NO2_L2_V04_20240716T210202Z_S013G03_subsetted.nc\n", + "./224519852_TEMPO_NO2_L2_V04_20240716T200202Z_S012G03_subsetted.nc\n", + "./224519854_TEMPO_NO2_L2_V04_20240716T220202Z_S014G03_subsetted.nc\n", + "./224519851_TEMPO_NO2_L2_V04_20240716T190202Z_S011G03_subsetted.nc\n", "Number of result files: 14\n", - "177646283_TEMPO_NO2_L2_V04_20240716T104134Z_S001G03_subsetted.nc\n", + "224519842_TEMPO_NO2_L2_V04_20240716T112139Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 661 40.822659 -73.909157 1.2731e+16 8.8972e+14 0\n", + " 6 662 40.801666 -73.915466 1.1677e+16 7.8085e+14 0\n", + " 7 661 40.820206 -73.971909 7.7617e+15 6.6695e+14 0\n", + " 7 662 40.799194 -73.978210 8.9766e+15 7.9008e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-16 11:21:59.832310+00:00, NO2 trop col 9.3035e+15, unc 7.1902e+14\n", + "no negative: averaged time 2024-07-16 11:21:59.832310+00:00, NO2 trop col 9.3035e+15, unc 7.1902e+14\n", + "no Small: averaged time 2024-07-16 11:21:59.832310+00:00, NO2 trop col 9.3035e+15, unc 7.1902e+14\n", + "224519841_TEMPO_NO2_L2_V04_20240716T104134Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.836185 -73.916206 9.8566e+15 8.2366e+14 1\n", " 6 660 40.815228 -73.922501 1.2230e+16 9.2467e+14 1\n", @@ -2768,17 +2964,17 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177646284_TEMPO_NO2_L2_V04_20240716T112139Z_S002G03_subsetted.nc\n", + "224519843_TEMPO_NO2_L2_V04_20240716T120144Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 661 40.822659 -73.909157 1.2731e+16 8.8972e+14 0\n", - " 6 662 40.801666 -73.915466 1.1677e+16 7.8085e+14 0\n", - " 7 661 40.820206 -73.971909 7.7617e+15 6.6695e+14 0\n", - " 7 662 40.799194 -73.978210 8.9766e+15 7.9008e+14 0\n", + " 6 660 40.830807 -73.899582 1.1776e+16 7.2262e+14 0\n", + " 6 661 40.809788 -73.905922 1.3620e+16 8.5250e+14 0\n", + " 7 660 40.828976 -73.962082 9.8772e+15 8.8115e+14 0\n", + " 7 661 40.807743 -73.968536 9.8495e+15 8.2154e+14 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-16 11:21:59.832310+00:00, NO2 trop col 9.3035e+15, unc 7.1902e+14\n", - "no negative: averaged time 2024-07-16 11:21:59.832310+00:00, NO2 trop col 9.3035e+15, unc 7.1902e+14\n", - "no Small: averaged time 2024-07-16 11:21:59.832310+00:00, NO2 trop col 9.3035e+15, unc 7.1902e+14\n", - "177646286_TEMPO_NO2_L2_V04_20240716T124149Z_S004G03_subsetted.nc\n", + "no FV: averaged time 2024-07-16 12:02:05.184551+00:00, NO2 trop col 1.0816e+16, unc 8.4916e+14\n", + "no negative: averaged time 2024-07-16 12:02:05.184551+00:00, NO2 trop col 1.0816e+16, unc 8.4916e+14\n", + "no Small: averaged time 2024-07-16 12:02:05.184551+00:00, NO2 trop col 1.0816e+16, unc 8.4916e+14\n", + "224519844_TEMPO_NO2_L2_V04_20240716T124149Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.834297 -73.929436 7.2339e+15 6.3714e+14 0\n", " 6 660 40.813484 -73.935638 8.3329e+15 6.5287e+14 0\n", @@ -2788,7 +2984,7 @@ "no FV: averaged time 2024-07-16 12:42:08.690642+00:00, NO2 trop col 8.3774e+15, unc 6.5941e+14\n", "no negative: averaged time 2024-07-16 12:42:08.690642+00:00, NO2 trop col 8.3774e+15, unc 6.5941e+14\n", "no Small: averaged time 2024-07-16 12:42:08.690642+00:00, NO2 trop col 8.3774e+15, unc 6.5941e+14\n", - "177646287_TEMPO_NO2_L2_V04_20240716T132154Z_S005G03_subsetted.nc\n", + "224519845_TEMPO_NO2_L2_V04_20240716T132154Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.832375 -73.889587 2.2392e+16 1.1087e+15 0\n", " 6 661 40.811386 -73.895927 2.0123e+16 1.1557e+15 0\n", @@ -2798,17 +2994,7 @@ "no FV: averaged time 2024-07-16 13:22:15.675469+00:00, NO2 trop col 1.3082e+16, unc 1.0825e+15\n", "no negative: averaged time 2024-07-16 13:22:15.675469+00:00, NO2 trop col 1.3082e+16, unc 1.0825e+15\n", "no Small: averaged time 2024-07-16 13:22:15.675469+00:00, NO2 trop col 1.3082e+16, unc 1.0825e+15\n", - "177646285_TEMPO_NO2_L2_V04_20240716T120144Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.830807 -73.899582 1.1776e+16 7.2262e+14 0\n", - " 6 661 40.809788 -73.905922 1.3620e+16 8.5250e+14 0\n", - " 7 660 40.828976 -73.962082 9.8772e+15 8.8115e+14 0\n", - " 7 661 40.807743 -73.968536 9.8495e+15 8.2154e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-16 12:02:05.184551+00:00, NO2 trop col 1.0816e+16, unc 8.4916e+14\n", - "no negative: averaged time 2024-07-16 12:02:05.184551+00:00, NO2 trop col 1.0816e+16, unc 8.4916e+14\n", - "no Small: averaged time 2024-07-16 12:02:05.184551+00:00, NO2 trop col 1.0816e+16, unc 8.4916e+14\n", - "177646288_TEMPO_NO2_L2_V04_20240716T140202Z_S006G03_subsetted.nc\n", + "224519846_TEMPO_NO2_L2_V04_20240716T140202Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.821926 -73.933289 2.2145e+16 1.3760e+15 0\n", " 5 661 40.800949 -73.939598 1.4925e+16 7.1685e+14 0\n", @@ -2818,7 +3004,7 @@ "no FV: averaged time 2024-07-16 14:02:18.669105+00:00, NO2 trop col 1.9013e+16, unc 1.2106e+15\n", "no negative: averaged time 2024-07-16 14:02:18.669105+00:00, NO2 trop col 1.9013e+16, unc 1.2106e+15\n", "no Small: averaged time 2024-07-16 14:02:18.669105+00:00, NO2 trop col 1.9013e+16, unc 1.2106e+15\n", - "177646289_TEMPO_NO2_L2_V04_20240716T150202Z_S007G03_subsetted.nc\n", + "224519847_TEMPO_NO2_L2_V04_20240716T150202Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.821808 -73.897224 2.1735e+16 7.2025e+14 0\n", " 5 661 40.800903 -73.903503 2.0818e+16 7.3379e+14 0\n", @@ -2828,27 +3014,7 @@ "no FV: averaged time 2024-07-16 15:02:20.494695+00:00, NO2 trop col 2.1256e+16, unc 9.9838e+14\n", "no negative: averaged time 2024-07-16 15:02:20.494695+00:00, NO2 trop col 2.1256e+16, unc 9.9838e+14\n", "no Small: averaged time 2024-07-16 15:02:20.494695+00:00, NO2 trop col 2.1256e+16, unc 9.9838e+14\n", - "177646293_TEMPO_NO2_L2_V04_20240716T190202Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 658 40.835617 -73.893013 7.4317e+15 7.7200e+14 0\n", - " 5 659 40.814610 -73.899361 6.8201e+15 1.3932e+15 0\n", - " 6 658 40.833282 -73.955391 9.2254e+15 9.5312e+14 0\n", - " 6 659 40.812279 -73.961700 1.0240e+16 1.4317e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-16 19:02:20.447045+00:00, NO2 trop col 9.5417e+15, unc 1.3653e+15\n", - "no negative: averaged time 2024-07-16 19:02:20.447045+00:00, NO2 trop col 9.5417e+15, unc 1.3653e+15\n", - "no Small: averaged time 2024-07-16 19:02:20.447045+00:00, NO2 trop col 9.5417e+15, unc 1.3653e+15\n", - "177646294_TEMPO_NO2_L2_V04_20240716T200202Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 658 40.835842 -73.938217 7.5865e+15 3.0602e+15 0\n", - " 6 659 40.814960 -73.944466 7.3783e+15 2.7901e+15 0\n", - " 7 658 40.833843 -73.999878 1.2105e+16 2.0076e+15 0\n", - " 7 659 40.812908 -74.006126 1.0658e+16 4.7565e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-16 20:02:21.257827+00:00, NO2 trop col 7.7457e+15, unc 2.9160e+15\n", - "no negative: averaged time 2024-07-16 20:02:21.257827+00:00, NO2 trop col 7.7457e+15, unc 2.9160e+15\n", - "no Small: averaged time 2024-07-16 20:02:21.257827+00:00, NO2 trop col 7.7457e+15, unc 2.9160e+15\n", - "177646291_TEMPO_NO2_L2_V04_20240716T170202Z_S009G03_subsetted.nc\n", + "224519849_TEMPO_NO2_L2_V04_20240716T170202Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.823219 -73.910904 1.2243e+16 5.8981e+14 0\n", " 5 660 40.802261 -73.917206 1.2050e+16 6.7447e+14 0\n", @@ -2858,17 +3024,7 @@ "no FV: averaged time 2024-07-16 17:02:19.769563+00:00, NO2 trop col 9.2316e+15, unc 7.2996e+14\n", "no negative: averaged time 2024-07-16 17:02:19.769563+00:00, NO2 trop col 9.2316e+15, unc 7.2996e+14\n", "no Small: averaged time 2024-07-16 17:02:19.769563+00:00, NO2 trop col 9.2316e+15, unc 7.2996e+14\n", - "177646296_TEMPO_NO2_L2_V04_20240716T220202Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 658 40.835369 -73.919312 1.2485e+16 9.3864e+14 0\n", - " 6 659 40.814529 -73.925537 9.6705e+15 8.2833e+14 0\n", - " 7 658 40.832897 -73.981606 1.0108e+16 1.2355e+15 0\n", - " 7 659 40.811886 -73.987900 9.6379e+15 1.2032e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-16 22:02:22.194257+00:00, NO2 trop col 9.6986e+15, unc 9.8458e+14\n", - "no negative: averaged time 2024-07-16 22:02:22.194257+00:00, NO2 trop col 9.6986e+15, unc 9.8458e+14\n", - "no Small: averaged time 2024-07-16 22:02:22.194257+00:00, NO2 trop col 9.6986e+15, unc 9.8458e+14\n", - "177646290_TEMPO_NO2_L2_V04_20240716T160202Z_S008G03_subsetted.nc\n", + "224519848_TEMPO_NO2_L2_V04_20240716T160202Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.825531 -73.912811 1.7927e+16 6.4366e+14 0\n", " 5 660 40.804604 -73.919098 1.6677e+16 7.1735e+14 0\n", @@ -2878,7 +3034,17 @@ "no FV: averaged time 2024-07-16 16:02:19.635929+00:00, NO2 trop col 1.3358e+16, unc 7.7264e+14\n", "no negative: averaged time 2024-07-16 16:02:19.635929+00:00, NO2 trop col 1.3358e+16, unc 7.7264e+14\n", "no Small: averaged time 2024-07-16 16:02:19.635929+00:00, NO2 trop col 1.3358e+16, unc 7.7264e+14\n", - "177646295_TEMPO_NO2_L2_V04_20240716T210202Z_S013G03_subsetted.nc\n", + "224519850_TEMPO_NO2_L2_V04_20240716T180202Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.828312 -73.930359 9.2353e+15 6.5290e+14 0\n", + " 6 660 40.807312 -73.936684 1.2364e+16 8.1414e+14 0\n", + " 7 659 40.825657 -73.992592 8.4753e+15 9.5025e+14 0\n", + " 7 660 40.804485 -73.998985 9.5998e+15 1.4981e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-16 18:02:21.756295+00:00, NO2 trop col 1.0869e+16, unc 8.2594e+14\n", + "no negative: averaged time 2024-07-16 18:02:21.756295+00:00, NO2 trop col 1.0869e+16, unc 8.2594e+14\n", + "no Small: averaged time 2024-07-16 18:02:21.756295+00:00, NO2 trop col 1.0869e+16, unc 8.2594e+14\n", + "224519853_TEMPO_NO2_L2_V04_20240716T210202Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.824265 -73.905289 9.1145e+15 1.7570e+15 0\n", " 6 660 40.803238 -73.911629 9.4001e+15 8.3377e+14 0\n", @@ -2888,17 +3054,37 @@ "no FV: averaged time 2024-07-16 21:02:23.056800+00:00, NO2 trop col 9.8215e+15, unc 1.2888e+15\n", "no negative: averaged time 2024-07-16 21:02:23.056800+00:00, NO2 trop col 9.8215e+15, unc 1.2888e+15\n", "no Small: averaged time 2024-07-16 21:02:23.056800+00:00, NO2 trop col 9.8215e+15, unc 1.2888e+15\n", - "177646292_TEMPO_NO2_L2_V04_20240716T180202Z_S010G03_subsetted.nc\n", + "224519852_TEMPO_NO2_L2_V04_20240716T200202Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.828312 -73.930359 9.2353e+15 6.5290e+14 0\n", - " 6 660 40.807312 -73.936684 1.2364e+16 8.1414e+14 0\n", - " 7 659 40.825657 -73.992592 8.4753e+15 9.5025e+14 0\n", - " 7 660 40.804485 -73.998985 9.5998e+15 1.4981e+15 0\n", + " 6 658 40.835842 -73.938217 7.5865e+15 3.0602e+15 0\n", + " 6 659 40.814960 -73.944466 7.3783e+15 2.7901e+15 0\n", + " 7 658 40.833843 -73.999878 1.2105e+16 2.0076e+15 0\n", + " 7 659 40.812908 -74.006126 1.0658e+16 4.7565e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-16 18:02:21.756295+00:00, NO2 trop col 1.0869e+16, unc 8.2594e+14\n", - "no negative: averaged time 2024-07-16 18:02:21.756295+00:00, NO2 trop col 1.0869e+16, unc 8.2594e+14\n", - "no Small: averaged time 2024-07-16 18:02:21.756295+00:00, NO2 trop col 1.0869e+16, unc 8.2594e+14\n", - "jobID = c13e87e5-50cb-4b02-bd70-ce63bc6b0f02\n" + "no FV: averaged time 2024-07-16 20:02:21.257827+00:00, NO2 trop col 7.7457e+15, unc 2.9160e+15\n", + "no negative: averaged time 2024-07-16 20:02:21.257827+00:00, NO2 trop col 7.7457e+15, unc 2.9160e+15\n", + "no Small: averaged time 2024-07-16 20:02:21.257827+00:00, NO2 trop col 7.7457e+15, unc 2.9160e+15\n", + "224519854_TEMPO_NO2_L2_V04_20240716T220202Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 658 40.835369 -73.919312 1.2485e+16 9.3864e+14 0\n", + " 6 659 40.814529 -73.925537 9.6705e+15 8.2833e+14 0\n", + " 7 658 40.832897 -73.981606 1.0108e+16 1.2355e+15 0\n", + " 7 659 40.811886 -73.987900 9.6379e+15 1.2032e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-16 22:02:22.194257+00:00, NO2 trop col 9.6986e+15, unc 9.8458e+14\n", + "no negative: averaged time 2024-07-16 22:02:22.194257+00:00, NO2 trop col 9.6986e+15, unc 9.8458e+14\n", + "no Small: averaged time 2024-07-16 22:02:22.194257+00:00, NO2 trop col 9.6986e+15, unc 9.8458e+14\n", + "224519851_TEMPO_NO2_L2_V04_20240716T190202Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 658 40.835617 -73.893013 7.4317e+15 7.7200e+14 0\n", + " 5 659 40.814610 -73.899361 6.8201e+15 1.3932e+15 0\n", + " 6 658 40.833282 -73.955391 9.2254e+15 9.5312e+14 0\n", + " 6 659 40.812279 -73.961700 1.0240e+16 1.4317e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-16 19:02:20.447045+00:00, NO2 trop col 9.5417e+15, unc 1.3653e+15\n", + "no negative: averaged time 2024-07-16 19:02:20.447045+00:00, NO2 trop col 9.5417e+15, unc 1.3653e+15\n", + "no Small: averaged time 2024-07-16 19:02:20.447045+00:00, NO2 trop col 9.5417e+15, unc 1.3653e+15\n", + "jobID = f8bc340b-4c45-4140-9ac7-beb6f0b0fb41\n" ] }, { @@ -2912,32 +3098,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177646396_TEMPO_NO2_L2_V04_20240717T104152Z_S001G03_subsetted.nc\n", - "./177646397_TEMPO_NO2_L2_V04_20240717T112157Z_S002G03_subsetted.nc\n", - "./177646399_TEMPO_NO2_L2_V04_20240717T124207Z_S004G03_subsetted.nc\n", - "./177646398_TEMPO_NO2_L2_V04_20240717T120202Z_S003G03_subsetted.nc\n", - "./177646400_TEMPO_NO2_L2_V04_20240717T132212Z_S005G03_subsetted.nc\n", - "./177646402_TEMPO_NO2_L2_V04_20240717T150220Z_S007G03_subsetted.nc\n", - "./177646401_TEMPO_NO2_L2_V04_20240717T140220Z_S006G03_subsetted.nc\n", - "./177646405_TEMPO_NO2_L2_V04_20240717T180220Z_S010G03_subsetted.nc\n", - "./177646403_TEMPO_NO2_L2_V04_20240717T160220Z_S008G03_subsetted.nc\n", - "./177646404_TEMPO_NO2_L2_V04_20240717T170220Z_S009G03_subsetted.nc\n", - "./177646406_TEMPO_NO2_L2_V04_20240717T190220Z_S011G03_subsetted.nc\n", - "./177646409_TEMPO_NO2_L2_V04_20240717T220220Z_S014G03_subsetted.nc\n", - "./177646407_TEMPO_NO2_L2_V04_20240717T200220Z_S012G03_subsetted.nc\n", - "./177646408_TEMPO_NO2_L2_V04_20240717T210220Z_S013G03_subsetted.nc\n", + "./224522843_TEMPO_NO2_L2_V04_20240717T112157Z_S002G03_subsetted.nc\n", + "./224522842_TEMPO_NO2_L2_V04_20240717T104152Z_S001G03_subsetted.nc\n", + "./224522844_TEMPO_NO2_L2_V04_20240717T120202Z_S003G03_subsetted.nc\n", + "./224522845_TEMPO_NO2_L2_V04_20240717T124207Z_S004G03_subsetted.nc\n", + "./224522846_TEMPO_NO2_L2_V04_20240717T132212Z_S005G03_subsetted.nc\n", + "./224522847_TEMPO_NO2_L2_V04_20240717T140220Z_S006G03_subsetted.nc\n", + "./224522848_TEMPO_NO2_L2_V04_20240717T150220Z_S007G03_subsetted.nc\n", + "./224522849_TEMPO_NO2_L2_V04_20240717T160220Z_S008G03_subsetted.nc\n", + "./224522850_TEMPO_NO2_L2_V04_20240717T170220Z_S009G03_subsetted.nc\n", + "./224522851_TEMPO_NO2_L2_V04_20240717T180220Z_S010G03_subsetted.nc\n", + "./224522852_TEMPO_NO2_L2_V04_20240717T190220Z_S011G03_subsetted.nc\n", + "./224522853_TEMPO_NO2_L2_V04_20240717T200220Z_S012G03_subsetted.nc\n", + "./224522855_TEMPO_NO2_L2_V04_20240717T220220Z_S014G03_subsetted.nc\n", + "./224522854_TEMPO_NO2_L2_V04_20240717T210220Z_S013G03_subsetted.nc\n", "Number of result files: 14\n", - "177646396_TEMPO_NO2_L2_V04_20240717T104152Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.834301 -73.943039 8.7738e+15 2.0268e+15 1\n", - " 6 660 40.813301 -73.949341 9.3351e+15 2.1854e+15 1\n", - " 7 659 40.831963 -74.006020 7.1858e+15 1.4004e+15 1\n", - " 7 660 40.810955 -74.012299 7.7027e+15 2.9653e+15 1\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177646397_TEMPO_NO2_L2_V04_20240717T112157Z_S002G03_subsetted.nc\n", + "224522843_TEMPO_NO2_L2_V04_20240717T112157Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.831966 -73.893600 7.1087e+15 1.7241e+15 0\n", " 6 661 40.810986 -73.899925 6.5614e+15 1.9797e+15 0\n", @@ -2947,17 +3123,17 @@ "no FV: averaged time 2024-07-17 11:22:18.503119+00:00, NO2 trop col 7.9538e+15, unc 1.8592e+15\n", "no negative: averaged time 2024-07-17 11:22:18.503119+00:00, NO2 trop col 7.9538e+15, unc 1.8592e+15\n", "no Small: averaged time 2024-07-17 11:22:18.503119+00:00, NO2 trop col 7.9538e+15, unc 1.8592e+15\n", - "177646399_TEMPO_NO2_L2_V04_20240717T124207Z_S004G03_subsetted.nc\n", + "224522842_TEMPO_NO2_L2_V04_20240717T104152Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.817616 -73.889977 -6.0416e+14 3.4832e+15 0\n", - " 5 661 40.796719 -73.896255 4.0682e+15 6.4617e+15 0\n", - " 6 660 40.815536 -73.951698 2.6089e+15 3.4615e+15 0\n", - " 6 661 40.794426 -73.958084 5.0207e+15 4.0215e+15 0\n", + " 6 659 40.834301 -73.943039 8.7738e+15 2.0268e+15 1\n", + " 6 660 40.813301 -73.949341 9.3351e+15 2.1854e+15 1\n", + " 7 659 40.831963 -74.006020 7.1858e+15 1.4004e+15 1\n", + " 7 660 40.810955 -74.012299 7.7027e+15 2.9653e+15 1\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-17 12:42:25.847214+00:00, NO2 trop col 2.6047e+15, unc 3.5018e+15\n", - "no negative: averaged time 2024-07-17 12:42:24.899207+00:00, NO2 trop col 3.8993e+15, unc 4.6482e+15\n", - "no Small: averaged time 2024-07-17 12:42:25.910230+00:00, NO2 trop col 5.0207e+15, unc 4.0215e+15\n", - "177646398_TEMPO_NO2_L2_V04_20240717T120202Z_S003G03_subsetted.nc\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224522844_TEMPO_NO2_L2_V04_20240717T120202Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.819462 -73.927086 7.0101e+15 2.7887e+15 0\n", " 6 661 40.798485 -73.933388 4.6633e+15 3.0892e+15 0\n", @@ -2967,7 +3143,17 @@ "no FV: averaged time 2024-07-17 12:02:22.007224+00:00, NO2 trop col 5.6212e+15, unc 2.8038e+15\n", "no negative: averaged time 2024-07-17 12:02:22.007224+00:00, NO2 trop col 5.6212e+15, unc 2.8038e+15\n", "no Small: averaged time 2024-07-17 12:02:22.007224+00:00, NO2 trop col 5.6212e+15, unc 2.8038e+15\n", - "177646400_TEMPO_NO2_L2_V04_20240717T132212Z_S005G03_subsetted.nc\n", + "224522845_TEMPO_NO2_L2_V04_20240717T124207Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 660 40.817616 -73.889977 -6.0416e+14 3.4832e+15 0\n", + " 5 661 40.796719 -73.896255 4.0682e+15 6.4617e+15 0\n", + " 6 660 40.815536 -73.951698 2.6089e+15 3.4615e+15 0\n", + " 6 661 40.794426 -73.958084 5.0207e+15 4.0215e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-17 12:42:25.847214+00:00, NO2 trop col 2.6047e+15, unc 3.5018e+15\n", + "no negative: averaged time 2024-07-17 12:42:24.899207+00:00, NO2 trop col 3.8993e+15, unc 4.6482e+15\n", + "no Small: averaged time 2024-07-17 12:42:25.910230+00:00, NO2 trop col 5.0207e+15, unc 4.0215e+15\n", + "224522846_TEMPO_NO2_L2_V04_20240717T132212Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.835190 -73.913994 8.2571e+15 2.0117e+15 0\n", " 6 661 40.814201 -73.920319 7.6780e+15 1.7906e+15 0\n", @@ -2977,17 +3163,7 @@ "no FV: averaged time 2024-07-17 13:22:32.419328+00:00, NO2 trop col 7.2001e+15, unc 2.6092e+15\n", "no negative: averaged time 2024-07-17 13:22:32.419328+00:00, NO2 trop col 7.2001e+15, unc 2.6092e+15\n", "no Small: averaged time 2024-07-17 13:22:32.419328+00:00, NO2 trop col 7.2001e+15, unc 2.6092e+15\n", - "177646402_TEMPO_NO2_L2_V04_20240717T150220Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.828983 -73.922081 1.1859e+16 5.8069e+14 0\n", - " 5 660 40.808029 -73.928368 9.7026e+15 6.2758e+14 0\n", - " 6 659 40.825916 -73.984886 1.3218e+16 2.0996e+15 0\n", - " 6 660 40.805336 -73.990929 7.0446e+15 1.0987e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-17 15:02:37.123080+00:00, NO2 trop col 1.1109e+16, unc 1.2054e+15\n", - "no negative: averaged time 2024-07-17 15:02:37.123080+00:00, NO2 trop col 1.1109e+16, unc 1.2054e+15\n", - "no Small: averaged time 2024-07-17 15:02:37.123080+00:00, NO2 trop col 1.1109e+16, unc 1.2054e+15\n", - "177646401_TEMPO_NO2_L2_V04_20240717T140220Z_S006G03_subsetted.nc\n", + "224522847_TEMPO_NO2_L2_V04_20240717T140220Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.822792 -73.921173 1.6483e+16 2.6438e+15 0\n", " 5 661 40.801949 -73.927406 1.1826e+16 1.4211e+15 0\n", @@ -2997,17 +3173,17 @@ "no FV: averaged time 2024-07-17 14:02:37.256917+00:00, NO2 trop col 1.3264e+16, unc 3.7832e+15\n", "no negative: averaged time 2024-07-17 14:02:37.256917+00:00, NO2 trop col 1.3264e+16, unc 3.7832e+15\n", "no Small: averaged time 2024-07-17 14:02:37.256917+00:00, NO2 trop col 1.3264e+16, unc 3.7832e+15\n", - "177646405_TEMPO_NO2_L2_V04_20240717T180220Z_S010G03_subsetted.nc\n", + "224522848_TEMPO_NO2_L2_V04_20240717T150220Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.827156 -73.945663 1.9047e+16 1.4644e+15 0\n", - " 6 660 40.805962 -73.952103 1.8322e+16 1.1773e+15 0\n", - " 7 659 40.825066 -74.007317 1.2000e+16 1.1572e+15 0\n", - " 7 660 40.804012 -74.013641 1.0351e+16 1.3073e+15 0\n", + " 5 659 40.828983 -73.922081 1.1859e+16 5.8069e+14 0\n", + " 5 660 40.808029 -73.928368 9.7026e+15 6.2758e+14 0\n", + " 6 659 40.825916 -73.984886 1.3218e+16 2.0996e+15 0\n", + " 6 660 40.805336 -73.990929 7.0446e+15 1.0987e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-17 18:02:39.016038+00:00, NO2 trop col 1.8500e+16, unc 1.2982e+15\n", - "no negative: averaged time 2024-07-17 18:02:39.016038+00:00, NO2 trop col 1.8500e+16, unc 1.2982e+15\n", - "no Small: averaged time 2024-07-17 18:02:39.016038+00:00, NO2 trop col 1.8500e+16, unc 1.2982e+15\n", - "177646403_TEMPO_NO2_L2_V04_20240717T160220Z_S008G03_subsetted.nc\n", + "no FV: averaged time 2024-07-17 15:02:37.123080+00:00, NO2 trop col 1.1109e+16, unc 1.2054e+15\n", + "no negative: averaged time 2024-07-17 15:02:37.123080+00:00, NO2 trop col 1.1109e+16, unc 1.2054e+15\n", + "no Small: averaged time 2024-07-17 15:02:37.123080+00:00, NO2 trop col 1.1109e+16, unc 1.2054e+15\n", + "224522849_TEMPO_NO2_L2_V04_20240717T160220Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.820103 -73.918076 1.1735e+16 6.6265e+14 0\n", " 5 661 40.799232 -73.924324 1.1679e+16 7.4135e+14 0\n", @@ -3017,7 +3193,7 @@ "no FV: averaged time 2024-07-17 16:02:37.456079+00:00, NO2 trop col 1.1834e+16, unc 7.8666e+14\n", "no negative: averaged time 2024-07-17 16:02:37.456079+00:00, NO2 trop col 1.1834e+16, unc 7.8666e+14\n", "no Small: averaged time 2024-07-17 16:02:37.456079+00:00, NO2 trop col 1.1834e+16, unc 7.8666e+14\n", - "177646404_TEMPO_NO2_L2_V04_20240717T170220Z_S009G03_subsetted.nc\n", + "224522850_TEMPO_NO2_L2_V04_20240717T170220Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.825634 -73.907600 1.1729e+16 6.3014e+14 0\n", " 5 660 40.804626 -73.913940 1.1164e+16 6.6345e+14 0\n", @@ -3027,27 +3203,27 @@ "no FV: averaged time 2024-07-17 17:02:37.892257+00:00, NO2 trop col 1.0650e+16, unc 8.3617e+14\n", "no negative: averaged time 2024-07-17 17:02:37.892257+00:00, NO2 trop col 1.0650e+16, unc 8.3617e+14\n", "no Small: averaged time 2024-07-17 17:02:37.892257+00:00, NO2 trop col 1.0650e+16, unc 8.3617e+14\n", - "177646406_TEMPO_NO2_L2_V04_20240717T190220Z_S011G03_subsetted.nc\n", + "224522851_TEMPO_NO2_L2_V04_20240717T180220Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.827984 -73.939529 1.8345e+16 1.7084e+15 0\n", - " 6 660 40.807091 -73.945786 1.7116e+16 1.0614e+15 0\n", - " 7 659 40.825417 -74.001625 1.1608e+16 1.0387e+15 0\n", - " 7 660 40.804134 -74.008087 1.0210e+16 1.2644e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + " 6 659 40.827156 -73.945663 1.9047e+16 1.4644e+15 0\n", + " 6 660 40.805962 -73.952103 1.8322e+16 1.1773e+15 0\n", + " 7 659 40.825066 -74.007317 1.2000e+16 1.1572e+15 0\n", + " 7 660 40.804012 -74.013641 1.0351e+16 1.3073e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-17 18:02:39.016038+00:00, NO2 trop col 1.8500e+16, unc 1.2982e+15\n", + "no negative: averaged time 2024-07-17 18:02:39.016038+00:00, NO2 trop col 1.8500e+16, unc 1.2982e+15\n", + "no Small: averaged time 2024-07-17 18:02:39.016038+00:00, NO2 trop col 1.8500e+16, unc 1.2982e+15\n", + "224522852_TEMPO_NO2_L2_V04_20240717T190220Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.827984 -73.939529 1.8345e+16 1.7084e+15 0\n", + " 6 660 40.807091 -73.945786 1.7116e+16 1.0614e+15 0\n", + " 7 659 40.825417 -74.001625 1.1608e+16 1.0387e+15 0\n", + " 7 660 40.804134 -74.008087 1.0210e+16 1.2644e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", "no FV: averaged time 2024-07-17 19:02:39.310698+00:00, NO2 trop col 1.6829e+16, unc 1.2466e+15\n", "no negative: averaged time 2024-07-17 19:02:39.310698+00:00, NO2 trop col 1.6829e+16, unc 1.2466e+15\n", "no Small: averaged time 2024-07-17 19:02:39.310698+00:00, NO2 trop col 1.6829e+16, unc 1.2466e+15\n", - "177646409_TEMPO_NO2_L2_V04_20240717T220220Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.820938 -73.926094 1.6269e+16 9.2269e+15 0\n", - " 6 660 40.800022 -73.932358 1.2280e+16 4.8986e+15 0\n", - " 7 659 40.817814 -73.989479 3.2007e+15 1.6220e+16 0\n", - " 7 660 40.797016 -73.995651 1.1629e+16 4.2046e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-17 22:02:40.059088+00:00, NO2 trop col 1.0657e+16, unc 1.0839e+16\n", - "no negative: averaged time 2024-07-17 22:02:40.059088+00:00, NO2 trop col 1.0657e+16, unc 1.0839e+16\n", - "no Small: averaged time 2024-07-17 22:02:39.966758+00:00, NO2 trop col 1.3393e+16, unc 6.1100e+15\n", - "177646407_TEMPO_NO2_L2_V04_20240717T200220Z_S012G03_subsetted.nc\n", + "224522853_TEMPO_NO2_L2_V04_20240717T200220Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.824333 -73.890396 8.2397e+15 8.4211e+14 0\n", " 5 659 40.803448 -73.896660 8.3327e+15 9.0842e+14 0\n", @@ -3057,7 +3233,17 @@ "no FV: averaged time 2024-07-17 20:02:38.771856+00:00, NO2 trop col 1.0214e+16, unc 1.3629e+15\n", "no negative: averaged time 2024-07-17 20:02:38.771856+00:00, NO2 trop col 1.0214e+16, unc 1.3629e+15\n", "no Small: averaged time 2024-07-17 20:02:38.771856+00:00, NO2 trop col 1.0214e+16, unc 1.3629e+15\n", - "177646408_TEMPO_NO2_L2_V04_20240717T210220Z_S013G03_subsetted.nc\n", + "224522855_TEMPO_NO2_L2_V04_20240717T220220Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.820938 -73.926094 1.6269e+16 9.2269e+15 0\n", + " 6 660 40.800022 -73.932358 1.2280e+16 4.8986e+15 0\n", + " 7 659 40.817814 -73.989479 3.2007e+15 1.6220e+16 0\n", + " 7 660 40.797016 -73.995651 1.1629e+16 4.2046e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-17 22:02:40.059088+00:00, NO2 trop col 1.0657e+16, unc 1.0839e+16\n", + "no negative: averaged time 2024-07-17 22:02:40.059088+00:00, NO2 trop col 1.0657e+16, unc 1.0839e+16\n", + "no Small: averaged time 2024-07-17 22:02:39.966758+00:00, NO2 trop col 1.3393e+16, unc 6.1100e+15\n", + "224522854_TEMPO_NO2_L2_V04_20240717T210220Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.823269 -73.914734 7.4047e+15 1.0451e+16 0\n", " 6 660 40.802349 -73.921013 7.6927e+15 5.0274e+15 0\n", @@ -3067,7 +3253,7 @@ "no FV: averaged time 2024-07-17 21:02:40.606378+00:00, NO2 trop col 6.6073e+15, unc 3.8763e+15\n", "no negative: averaged time 2024-07-17 21:02:40.606378+00:00, NO2 trop col 6.6073e+15, unc 3.8763e+15\n", "no Small: averaged time 2024-07-17 21:02:40.977309+00:00, NO2 trop col 7.2540e+15, unc 3.5619e+15\n", - "jobID = 750f2778-2995-42dd-8118-af984f379e27\n" + "jobID = b694c787-ba8d-4210-86bb-35e92d848104\n" ] }, { @@ -3081,32 +3267,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177646517_TEMPO_NO2_L2_V04_20240718T104209Z_S001G03_subsetted.nc\n", - "./177646518_TEMPO_NO2_L2_V04_20240718T112214Z_S002G03_subsetted.nc\n", - "./177646519_TEMPO_NO2_L2_V04_20240718T120219Z_S003G03_subsetted.nc\n", - "./177646520_TEMPO_NO2_L2_V04_20240718T124224Z_S004G03_subsetted.nc\n", - "./177646521_TEMPO_NO2_L2_V04_20240718T132229Z_S005G03_subsetted.nc\n", - "./177646522_TEMPO_NO2_L2_V04_20240718T140237Z_S006G03_subsetted.nc\n", - "./177646523_TEMPO_NO2_L2_V04_20240718T150237Z_S007G03_subsetted.nc\n", - "./177646524_TEMPO_NO2_L2_V04_20240718T160237Z_S008G03_subsetted.nc\n", - "./177646525_TEMPO_NO2_L2_V04_20240718T170237Z_S009G03_subsetted.nc\n", - "./177646526_TEMPO_NO2_L2_V04_20240718T180237Z_S010G03_subsetted.nc\n", - "./177646527_TEMPO_NO2_L2_V04_20240718T190237Z_S011G03_subsetted.nc\n", - "./177646530_TEMPO_NO2_L2_V04_20240718T220237Z_S014G03_subsetted.nc\n", - "./177646528_TEMPO_NO2_L2_V04_20240718T200237Z_S012G03_subsetted.nc\n", - "./177646529_TEMPO_NO2_L2_V04_20240718T210237Z_S013G03_subsetted.nc\n", + "./224523304_TEMPO_NO2_L2_V04_20240718T112214Z_S002G03_subsetted.nc\n", + "./224523305_TEMPO_NO2_L2_V04_20240718T120219Z_S003G03_subsetted.nc\n", + "./224523303_TEMPO_NO2_L2_V04_20240718T104209Z_S001G03_subsetted.nc\n", + "./224523306_TEMPO_NO2_L2_V04_20240718T124224Z_S004G03_subsetted.nc\n", + "./224523308_TEMPO_NO2_L2_V04_20240718T140237Z_S006G03_subsetted.nc\n", + "./224523307_TEMPO_NO2_L2_V04_20240718T132229Z_S005G03_subsetted.nc\n", + "./224523310_TEMPO_NO2_L2_V04_20240718T160237Z_S008G03_subsetted.nc\n", + "./224523309_TEMPO_NO2_L2_V04_20240718T150237Z_S007G03_subsetted.nc\n", + "./224523312_TEMPO_NO2_L2_V04_20240718T180237Z_S010G03_subsetted.nc\n", + "./224523314_TEMPO_NO2_L2_V04_20240718T200237Z_S012G03_subsetted.nc\n", + "./224523311_TEMPO_NO2_L2_V04_20240718T170237Z_S009G03_subsetted.nc\n", + "./224523313_TEMPO_NO2_L2_V04_20240718T190237Z_S011G03_subsetted.nc\n", + "./224523315_TEMPO_NO2_L2_V04_20240718T210237Z_S013G03_subsetted.nc\n", + "./224523316_TEMPO_NO2_L2_V04_20240718T220237Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177646517_TEMPO_NO2_L2_V04_20240718T104209Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.833206 -73.910583 8.3717e+15 2.9236e+15 1\n", - " 6 660 40.812183 -73.916908 1.0435e+16 4.6618e+15 1\n", - " 7 659 40.830410 -73.973312 6.1426e+15 3.1575e+15 1\n", - " 7 660 40.809769 -73.979378 1.2969e+16 3.7396e+15 1\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177646518_TEMPO_NO2_L2_V04_20240718T112214Z_S002G03_subsetted.nc\n", + "224523304_TEMPO_NO2_L2_V04_20240718T112214Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.827866 -73.897400 6.1600e+15 7.9335e+15 0\n", " 6 661 40.806908 -73.903687 3.8093e+15 8.6116e+15 0\n", @@ -3116,7 +3292,7 @@ "no FV: averaged time 2024-07-18 11:22:35.353076+00:00, NO2 trop col 6.0272e+15, unc 8.1930e+15\n", "no negative: averaged time 2024-07-18 11:22:35.353076+00:00, NO2 trop col 6.0272e+15, unc 8.1930e+15\n", "no Small: averaged time 2024-07-18 11:22:35.953237+00:00, NO2 trop col 1.1439e+16, unc 1.0260e+16\n", - "177646519_TEMPO_NO2_L2_V04_20240718T120219Z_S003G03_subsetted.nc\n", + "224523305_TEMPO_NO2_L2_V04_20240718T120219Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.833458 -73.913315 6.6748e+15 3.6184e+15 0\n", " 6 661 40.812496 -73.919617 1.7378e+16 8.0314e+15 0\n", @@ -3126,7 +3302,17 @@ "no FV: averaged time 2024-07-18 12:02:39.475414+00:00, NO2 trop col 1.2053e+16, unc 6.0700e+15\n", "no negative: averaged time 2024-07-18 12:02:39.475414+00:00, NO2 trop col 1.2053e+16, unc 6.0700e+15\n", "no Small: averaged time 2024-07-18 12:02:39.475414+00:00, NO2 trop col 1.2053e+16, unc 6.0700e+15\n", - "177646520_TEMPO_NO2_L2_V04_20240718T124224Z_S004G03_subsetted.nc\n", + "224523303_TEMPO_NO2_L2_V04_20240718T104209Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.833206 -73.910583 8.3717e+15 2.9236e+15 1\n", + " 6 660 40.812183 -73.916908 1.0435e+16 4.6618e+15 1\n", + " 7 659 40.830410 -73.973312 6.1426e+15 3.1575e+15 1\n", + " 7 660 40.809769 -73.979378 1.2969e+16 3.7396e+15 1\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224523306_TEMPO_NO2_L2_V04_20240718T124224Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.826103 -73.926926 9.8429e+15 1.5136e+16 0\n", " 6 661 40.805115 -73.933235 7.3538e+15 1.3835e+16 0\n", @@ -3136,17 +3322,7 @@ "no FV: averaged time 2024-07-18 12:42:43.927673+00:00, NO2 trop col 9.3513e+15, unc 1.1986e+16\n", "no negative: averaged time 2024-07-18 12:42:43.927673+00:00, NO2 trop col 9.3513e+15, unc 1.1986e+16\n", "no Small: averaged time 2024-07-18 12:42:45.960474+00:00, NO2 trop col 1.2850e+16, unc 6.8573e+15\n", - "177646521_TEMPO_NO2_L2_V04_20240718T132229Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.823654 -73.925240 8.9869e+15 8.1511e+15 0\n", - " 6 661 40.802727 -73.931511 1.1132e+16 1.0343e+16 0\n", - " 7 660 40.820087 -73.987724 1.0213e+16 8.8052e+15 0\n", - " 7 661 40.799461 -73.993790 3.6466e+15 5.8401e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-18 13:22:49.054182+00:00, NO2 trop col 1.0162e+16, unc 9.1299e+15\n", - "no negative: averaged time 2024-07-18 13:22:49.054182+00:00, NO2 trop col 1.0162e+16, unc 9.1299e+15\n", - "no Small: averaged time 2024-07-18 13:22:49.054182+00:00, NO2 trop col 1.0162e+16, unc 9.1299e+15\n", - "177646522_TEMPO_NO2_L2_V04_20240718T140237Z_S006G03_subsetted.nc\n", + "224523308_TEMPO_NO2_L2_V04_20240718T140237Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.823929 -73.928658 2.2476e+16 2.8477e+16 0\n", " 5 661 40.802925 -73.934982 1.3738e+16 1.5284e+16 0\n", @@ -3156,17 +3332,17 @@ "no FV: averaged time 2024-07-18 14:02:53.881341+00:00, NO2 trop col 1.4299e+16, unc 1.6471e+16\n", "no negative: averaged time 2024-07-18 14:02:53.881341+00:00, NO2 trop col 1.4299e+16, unc 1.6471e+16\n", "no Small: averaged time 2024-07-18 14:02:55.948886+00:00, NO2 trop col 6.9557e+15, unc 6.1115e+15\n", - "177646523_TEMPO_NO2_L2_V04_20240718T150237Z_S007G03_subsetted.nc\n", + "224523307_TEMPO_NO2_L2_V04_20240718T132229Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.829670 -73.923431 1.1651e+16 3.4001e+15 0\n", - " 5 661 40.808723 -73.929718 1.0859e+16 1.1961e+15 0\n", - " 6 660 40.826836 -73.985764 1.2501e+16 1.1005e+16 0\n", - " 6 661 40.806168 -73.991852 1.0438e+16 4.9263e+15 0\n", + " 6 660 40.823654 -73.925240 8.9869e+15 8.1511e+15 0\n", + " 6 661 40.802727 -73.931511 1.1132e+16 1.0343e+16 0\n", + " 7 660 40.820087 -73.987724 1.0213e+16 8.8052e+15 0\n", + " 7 661 40.799461 -73.993790 3.6466e+15 5.8401e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-18 15:02:54.051923+00:00, NO2 trop col 1.1454e+16, unc 4.7894e+15\n", - "no negative: averaged time 2024-07-18 15:02:54.051923+00:00, NO2 trop col 1.1454e+16, unc 4.7894e+15\n", - "no Small: averaged time 2024-07-18 15:02:54.051923+00:00, NO2 trop col 1.1454e+16, unc 4.7894e+15\n", - "177646524_TEMPO_NO2_L2_V04_20240718T160237Z_S008G03_subsetted.nc\n", + "no FV: averaged time 2024-07-18 13:22:49.054182+00:00, NO2 trop col 1.0162e+16, unc 9.1299e+15\n", + "no negative: averaged time 2024-07-18 13:22:49.054182+00:00, NO2 trop col 1.0162e+16, unc 9.1299e+15\n", + "no Small: averaged time 2024-07-18 13:22:49.054182+00:00, NO2 trop col 1.0162e+16, unc 9.1299e+15\n", + "224523310_TEMPO_NO2_L2_V04_20240718T160237Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.831085 -73.916725 4.7249e+15 1.1708e+15 0\n", " 5 660 40.810181 -73.922989 9.1443e+15 2.3793e+15 0\n", @@ -3176,17 +3352,17 @@ "no FV: averaged time 2024-07-18 16:02:54.356829+00:00, NO2 trop col 8.3800e+15, unc 2.8797e+15\n", "no negative: averaged time 2024-07-18 16:02:54.356829+00:00, NO2 trop col 8.3800e+15, unc 2.8797e+15\n", "no Small: averaged time 2024-07-18 16:02:54.356829+00:00, NO2 trop col 8.3800e+15, unc 2.8797e+15\n", - "177646525_TEMPO_NO2_L2_V04_20240718T170237Z_S009G03_subsetted.nc\n", + "224523309_TEMPO_NO2_L2_V04_20240718T150237Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.833515 -73.906219 1.1018e+16 2.9379e+15 0\n", - " 5 660 40.812469 -73.912575 9.9736e+15 2.7634e+15 0\n", - " 6 659 40.830746 -73.968109 1.0079e+16 4.1226e+15 0\n", - " 6 660 40.809990 -73.974258 5.2700e+15 1.1116e+15 0\n", + " 5 660 40.829670 -73.923431 1.1651e+16 3.4001e+15 0\n", + " 5 661 40.808723 -73.929718 1.0859e+16 1.1961e+15 0\n", + " 6 660 40.826836 -73.985764 1.2501e+16 1.1005e+16 0\n", + " 6 661 40.806168 -73.991852 1.0438e+16 4.9263e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-18 17:02:54.852637+00:00, NO2 trop col 8.0033e+15, unc 2.3523e+15\n", - "no negative: averaged time 2024-07-18 17:02:54.852637+00:00, NO2 trop col 8.0033e+15, unc 2.3523e+15\n", - "no Small: averaged time 2024-07-18 17:02:54.852637+00:00, NO2 trop col 8.0033e+15, unc 2.3523e+15\n", - "177646526_TEMPO_NO2_L2_V04_20240718T180237Z_S010G03_subsetted.nc\n", + "no FV: averaged time 2024-07-18 15:02:54.051923+00:00, NO2 trop col 1.1454e+16, unc 4.7894e+15\n", + "no negative: averaged time 2024-07-18 15:02:54.051923+00:00, NO2 trop col 1.1454e+16, unc 4.7894e+15\n", + "no Small: averaged time 2024-07-18 15:02:54.051923+00:00, NO2 trop col 1.1454e+16, unc 4.7894e+15\n", + "224523312_TEMPO_NO2_L2_V04_20240718T180237Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.834908 -73.891678 1.1395e+16 2.2852e+15 0\n", " 5 660 40.813915 -73.898003 1.7238e+16 9.6232e+15 0\n", @@ -3196,27 +3372,7 @@ "no FV: averaged time 2024-07-18 18:02:55.540357+00:00, NO2 trop col 9.0281e+15, unc 2.9151e+15\n", "no negative: averaged time 2024-07-18 18:02:55.540357+00:00, NO2 trop col 9.0281e+15, unc 2.9151e+15\n", "no Small: averaged time 2024-07-18 18:02:55.540357+00:00, NO2 trop col 9.0281e+15, unc 2.9151e+15\n", - "177646527_TEMPO_NO2_L2_V04_20240718T190237Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.822411 -73.896072 1.0339e+16 8.2074e+15 0\n", - " 5 660 40.801540 -73.902321 8.3630e+15 9.0885e+15 0\n", - " 6 659 40.820686 -73.958267 1.2090e+16 3.8605e+15 0\n", - " 6 660 40.799484 -73.964706 1.2082e+16 2.2041e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-18 19:02:55.494170+00:00, NO2 trop col 1.1521e+16, unc 4.4634e+15\n", - "no negative: averaged time 2024-07-18 19:02:55.494170+00:00, NO2 trop col 1.1521e+16, unc 4.4634e+15\n", - "no Small: averaged time 2024-07-18 19:02:55.493497+00:00, NO2 trop col 1.1821e+16, unc 4.0819e+15\n", - "177646530_TEMPO_NO2_L2_V04_20240718T220237Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.818810 -73.929085 1.1295e+16 1.1473e+16 0\n", - " 6 660 40.797798 -73.935402 -3.6033e+15 1.0269e+16 0\n", - " 7 659 40.816025 -73.991112 1.3420e+16 1.2394e+16 0\n", - " 7 660 40.795155 -73.997322 8.1968e+15 1.7285e+16 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-18 22:02:56.964841+00:00, NO2 trop col 1.0171e+16, unc 1.1631e+16\n", - "no negative: averaged time 2024-07-18 22:02:56.965236+00:00, NO2 trop col 1.1356e+16, unc 1.2385e+16\n", - "no Small: averaged time 2024-07-18 22:02:58.988698+00:00, NO2 trop col 1.3420e+16, unc 1.2394e+16\n", - "177646528_TEMPO_NO2_L2_V04_20240718T200237Z_S012G03_subsetted.nc\n", + "224523314_TEMPO_NO2_L2_V04_20240718T200237Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.835140 -73.888359 5.7810e+15 2.9357e+15 0\n", " 5 659 40.814175 -73.894676 7.2072e+15 2.8769e+15 0\n", @@ -3226,7 +3382,27 @@ "no FV: averaged time 2024-07-18 20:02:55.707874+00:00, NO2 trop col 6.4403e+15, unc 6.5627e+15\n", "no negative: averaged time 2024-07-18 20:02:55.707874+00:00, NO2 trop col 6.4403e+15, unc 6.5627e+15\n", "no Small: averaged time 2024-07-18 20:02:53.932083+00:00, NO2 trop col 6.1251e+15, unc 3.5145e+15\n", - "177646529_TEMPO_NO2_L2_V04_20240718T210237Z_S013G03_subsetted.nc\n", + "224523311_TEMPO_NO2_L2_V04_20240718T170237Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.833515 -73.906219 1.1018e+16 2.9379e+15 0\n", + " 5 660 40.812469 -73.912575 9.9736e+15 2.7634e+15 0\n", + " 6 659 40.830746 -73.968109 1.0079e+16 4.1226e+15 0\n", + " 6 660 40.809990 -73.974258 5.2700e+15 1.1116e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-18 17:02:54.852637+00:00, NO2 trop col 8.0033e+15, unc 2.3523e+15\n", + "no negative: averaged time 2024-07-18 17:02:54.852637+00:00, NO2 trop col 8.0033e+15, unc 2.3523e+15\n", + "no Small: averaged time 2024-07-18 17:02:54.852637+00:00, NO2 trop col 8.0033e+15, unc 2.3523e+15\n", + "224523313_TEMPO_NO2_L2_V04_20240718T190237Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.822411 -73.896072 1.0339e+16 8.2074e+15 0\n", + " 5 660 40.801540 -73.902321 8.3630e+15 9.0885e+15 0\n", + " 6 659 40.820686 -73.958267 1.2090e+16 3.8605e+15 0\n", + " 6 660 40.799484 -73.964706 1.2082e+16 2.2041e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-18 19:02:55.494170+00:00, NO2 trop col 1.1521e+16, unc 4.4634e+15\n", + "no negative: averaged time 2024-07-18 19:02:55.494170+00:00, NO2 trop col 1.1521e+16, unc 4.4634e+15\n", + "no Small: averaged time 2024-07-18 19:02:55.493497+00:00, NO2 trop col 1.1821e+16, unc 4.0819e+15\n", + "224523315_TEMPO_NO2_L2_V04_20240718T210237Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.832912 -73.896004 5.1346e+15 4.8160e+15 0\n", " 6 660 40.811939 -73.902321 6.3775e+15 1.8576e+15 0\n", @@ -3236,7 +3412,17 @@ "no FV: averaged time 2024-07-18 21:02:58.387742+00:00, NO2 trop col 5.9618e+15, unc 4.4700e+15\n", "no negative: averaged time 2024-07-18 21:02:56.966178+00:00, NO2 trop col 6.8109e+15, unc 3.5378e+15\n", "no Small: averaged time 2024-07-18 21:02:56.966178+00:00, NO2 trop col 6.8109e+15, unc 3.5378e+15\n", - "jobID = 04930b9f-dae0-403d-b77d-b1a2a86a3cc1\n" + "224523316_TEMPO_NO2_L2_V04_20240718T220237Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.818810 -73.929085 1.1295e+16 1.1473e+16 0\n", + " 6 660 40.797798 -73.935402 -3.6033e+15 1.0269e+16 0\n", + " 7 659 40.816025 -73.991112 1.3420e+16 1.2394e+16 0\n", + " 7 660 40.795155 -73.997322 8.1968e+15 1.7285e+16 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-18 22:02:56.964841+00:00, NO2 trop col 1.0171e+16, unc 1.1631e+16\n", + "no negative: averaged time 2024-07-18 22:02:56.965236+00:00, NO2 trop col 1.1356e+16, unc 1.2385e+16\n", + "no Small: averaged time 2024-07-18 22:02:58.988698+00:00, NO2 trop col 1.3420e+16, unc 1.2394e+16\n", + "jobID = 4157da67-c9d2-4ef8-a8bc-0578194d40fd\n" ] }, { @@ -3250,22 +3436,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177646745_TEMPO_NO2_L2_V04_20240719T104226Z_S001G03_subsetted.nc\n", - "./177646746_TEMPO_NO2_L2_V04_20240719T112231Z_S002G03_subsetted.nc\n", - "./177646747_TEMPO_NO2_L2_V04_20240719T120236Z_S003G03_subsetted.nc\n", - "./177646748_TEMPO_NO2_L2_V04_20240719T124241Z_S004G03_subsetted.nc\n", - "./177646749_TEMPO_NO2_L2_V04_20240719T132246Z_S005G03_subsetted.nc\n", - "./177646750_TEMPO_NO2_L2_V04_20240719T140254Z_S006G03_subsetted.nc\n", - "./177646751_TEMPO_NO2_L2_V04_20240719T150254Z_S007G03_subsetted.nc\n", - "./177646753_TEMPO_NO2_L2_V04_20240719T170254Z_S009G03_subsetted.nc\n", - "./177646754_TEMPO_NO2_L2_V04_20240719T180254Z_S010G03_subsetted.nc\n", - "./177646752_TEMPO_NO2_L2_V04_20240719T160254Z_S008G03_subsetted.nc\n", - "./177646755_TEMPO_NO2_L2_V04_20240719T190254Z_S011G03_subsetted.nc\n", - "./177646756_TEMPO_NO2_L2_V04_20240719T200254Z_S012G03_subsetted.nc\n", - "./177646757_TEMPO_NO2_L2_V04_20240719T210254Z_S013G03_subsetted.nc\n", - "./177646758_TEMPO_NO2_L2_V04_20240719T220254Z_S014G03_subsetted.nc\n", + "./224523630_TEMPO_NO2_L2_V04_20240719T104226Z_S001G03_subsetted.nc\n", + "./224523632_TEMPO_NO2_L2_V04_20240719T120236Z_S003G03_subsetted.nc\n", + "./224523631_TEMPO_NO2_L2_V04_20240719T112231Z_S002G03_subsetted.nc\n", + "./224523633_TEMPO_NO2_L2_V04_20240719T124241Z_S004G03_subsetted.nc\n", + "./224523636_TEMPO_NO2_L2_V04_20240719T150254Z_S007G03_subsetted.nc\n", + "./224523635_TEMPO_NO2_L2_V04_20240719T140254Z_S006G03_subsetted.nc\n", + "./224523634_TEMPO_NO2_L2_V04_20240719T132246Z_S005G03_subsetted.nc\n", + "./224523638_TEMPO_NO2_L2_V04_20240719T170254Z_S009G03_subsetted.nc\n", + "./224523639_TEMPO_NO2_L2_V04_20240719T180254Z_S010G03_subsetted.nc\n", + "./224523640_TEMPO_NO2_L2_V04_20240719T190254Z_S011G03_subsetted.nc\n", + "./224523637_TEMPO_NO2_L2_V04_20240719T160254Z_S008G03_subsetted.nc\n", + "./224523641_TEMPO_NO2_L2_V04_20240719T200254Z_S012G03_subsetted.nc\n", + "./224523642_TEMPO_NO2_L2_V04_20240719T210254Z_S013G03_subsetted.nc\n", + "./224523643_TEMPO_NO2_L2_V04_20240719T220254Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177646745_TEMPO_NO2_L2_V04_20240719T104226Z_S001G03_subsetted.nc\n", + "224523630_TEMPO_NO2_L2_V04_20240719T104226Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.819427 -73.934563 7.4640e+15 1.1878e+15 1\n", " 6 661 40.798416 -73.940880 9.5501e+15 1.6744e+15 1\n", @@ -3275,17 +3461,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177646746_TEMPO_NO2_L2_V04_20240719T112231Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.824688 -73.912407 6.6631e+15 1.4395e+15 0\n", - " 6 661 40.803730 -73.918701 6.2682e+15 1.4163e+15 0\n", - " 7 660 40.822266 -73.974274 5.1648e+15 1.1199e+15 0\n", - " 7 661 40.801582 -73.980362 5.2766e+15 1.0401e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-19 11:22:51.668908+00:00, NO2 trop col 5.6481e+15, unc 1.2463e+15\n", - "no negative: averaged time 2024-07-19 11:22:51.668908+00:00, NO2 trop col 5.6481e+15, unc 1.2463e+15\n", - "no Small: averaged time 2024-07-19 11:22:51.668908+00:00, NO2 trop col 5.6481e+15, unc 1.2463e+15\n", - "177646747_TEMPO_NO2_L2_V04_20240719T120236Z_S003G03_subsetted.nc\n", + "224523632_TEMPO_NO2_L2_V04_20240719T120236Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.817146 -73.940369 7.5067e+15 1.0497e+15 0\n", " 6 661 40.796249 -73.946617 8.8637e+15 1.1770e+15 0\n", @@ -3295,7 +3471,17 @@ "no FV: averaged time 2024-07-19 12:02:55.395240+00:00, NO2 trop col 7.5267e+15, unc 1.0922e+15\n", "no negative: averaged time 2024-07-19 12:02:55.395240+00:00, NO2 trop col 7.5267e+15, unc 1.0922e+15\n", "no Small: averaged time 2024-07-19 12:02:55.395240+00:00, NO2 trop col 7.5267e+15, unc 1.0922e+15\n", - "177646748_TEMPO_NO2_L2_V04_20240719T124241Z_S004G03_subsetted.nc\n", + "224523631_TEMPO_NO2_L2_V04_20240719T112231Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.824688 -73.912407 6.6631e+15 1.4395e+15 0\n", + " 6 661 40.803730 -73.918701 6.2682e+15 1.4163e+15 0\n", + " 7 660 40.822266 -73.974274 5.1648e+15 1.1199e+15 0\n", + " 7 661 40.801582 -73.980362 5.2766e+15 1.0401e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-19 11:22:51.668908+00:00, NO2 trop col 5.6481e+15, unc 1.2463e+15\n", + "no negative: averaged time 2024-07-19 11:22:51.668908+00:00, NO2 trop col 5.6481e+15, unc 1.2463e+15\n", + "no Small: averaged time 2024-07-19 11:22:51.668908+00:00, NO2 trop col 5.6481e+15, unc 1.2463e+15\n", + "224523633_TEMPO_NO2_L2_V04_20240719T124241Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.822849 -73.891930 6.8324e+15 1.0999e+15 0\n", " 5 661 40.801949 -73.898209 4.9038e+15 1.2307e+15 0\n", @@ -3305,17 +3491,17 @@ "no FV: averaged time 2024-07-19 12:42:59.667176+00:00, NO2 trop col 5.5942e+15, unc 7.3879e+14\n", "no negative: averaged time 2024-07-19 12:42:59.667176+00:00, NO2 trop col 5.5942e+15, unc 7.3879e+14\n", "no Small: averaged time 2024-07-19 12:42:59.667176+00:00, NO2 trop col 5.5942e+15, unc 7.3879e+14\n", - "177646749_TEMPO_NO2_L2_V04_20240719T132246Z_S005G03_subsetted.nc\n", + "224523636_TEMPO_NO2_L2_V04_20240719T150254Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.832672 -73.924088 7.9097e+15 1.0012e+15 0\n", - " 6 661 40.811806 -73.930328 6.3172e+15 7.1507e+14 0\n", - " 7 660 40.830383 -73.986145 3.0325e+15 8.1749e+14 0\n", - " 7 661 40.809490 -73.992378 2.4459e+15 8.8844e+14 0\n", + " 5 659 40.835861 -73.925415 5.6376e+15 1.0406e+15 0\n", + " 5 660 40.815117 -73.931572 6.4180e+15 8.4176e+14 0\n", + " 6 659 40.833508 -73.987579 4.7753e+15 9.2232e+14 0\n", + " 6 660 40.812359 -73.993965 5.7986e+15 1.7816e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-19 13:23:05.982139+00:00, NO2 trop col 5.0993e+15, unc 7.6043e+14\n", - "no negative: averaged time 2024-07-19 13:23:05.982139+00:00, NO2 trop col 5.0993e+15, unc 7.6043e+14\n", - "no Small: averaged time 2024-07-19 13:23:05.982139+00:00, NO2 trop col 5.0993e+15, unc 7.6043e+14\n", - "177646750_TEMPO_NO2_L2_V04_20240719T140254Z_S006G03_subsetted.nc\n", + "no FV: averaged time 2024-07-19 15:03:10.867449+00:00, NO2 trop col 6.1770e+15, unc 1.0896e+15\n", + "no negative: averaged time 2024-07-19 15:03:10.867449+00:00, NO2 trop col 6.1770e+15, unc 1.0896e+15\n", + "no Small: averaged time 2024-07-19 15:03:10.867449+00:00, NO2 trop col 6.1770e+15, unc 1.0896e+15\n", + "224523635_TEMPO_NO2_L2_V04_20240719T140254Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.826088 -73.942268 6.3097e+15 9.7338e+14 0\n", " 5 661 40.805092 -73.948586 6.8801e+15 8.3139e+14 0\n", @@ -3325,17 +3511,17 @@ "no FV: averaged time 2024-07-19 14:03:10.168338+00:00, NO2 trop col 6.5199e+15, unc 8.9888e+14\n", "no negative: averaged time 2024-07-19 14:03:10.168338+00:00, NO2 trop col 6.5199e+15, unc 8.9888e+14\n", "no Small: averaged time 2024-07-19 14:03:10.168338+00:00, NO2 trop col 6.5199e+15, unc 8.9888e+14\n", - "177646751_TEMPO_NO2_L2_V04_20240719T150254Z_S007G03_subsetted.nc\n", + "224523634_TEMPO_NO2_L2_V04_20240719T132246Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.835861 -73.925415 5.6376e+15 1.0406e+15 0\n", - " 5 660 40.815117 -73.931572 6.4180e+15 8.4176e+14 0\n", - " 6 659 40.833508 -73.987579 4.7753e+15 9.2232e+14 0\n", - " 6 660 40.812359 -73.993965 5.7986e+15 1.7816e+15 0\n", + " 6 660 40.832672 -73.924088 7.9097e+15 1.0012e+15 0\n", + " 6 661 40.811806 -73.930328 6.3172e+15 7.1507e+14 0\n", + " 7 660 40.830383 -73.986145 3.0325e+15 8.1749e+14 0\n", + " 7 661 40.809490 -73.992378 2.4459e+15 8.8844e+14 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-19 15:03:10.867449+00:00, NO2 trop col 6.1770e+15, unc 1.0896e+15\n", - "no negative: averaged time 2024-07-19 15:03:10.867449+00:00, NO2 trop col 6.1770e+15, unc 1.0896e+15\n", - "no Small: averaged time 2024-07-19 15:03:10.867449+00:00, NO2 trop col 6.1770e+15, unc 1.0896e+15\n", - "177646753_TEMPO_NO2_L2_V04_20240719T170254Z_S009G03_subsetted.nc\n", + "no FV: averaged time 2024-07-19 13:23:05.982139+00:00, NO2 trop col 5.0993e+15, unc 7.6043e+14\n", + "no negative: averaged time 2024-07-19 13:23:05.982139+00:00, NO2 trop col 5.0993e+15, unc 7.6043e+14\n", + "no Small: averaged time 2024-07-19 13:23:05.982139+00:00, NO2 trop col 5.0993e+15, unc 7.6043e+14\n", + "224523638_TEMPO_NO2_L2_V04_20240719T170254Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.834869 -73.920013 7.9929e+15 1.6709e+15 0\n", " 5 660 40.814045 -73.926231 6.6815e+15 7.4130e+14 0\n", @@ -3345,7 +3531,7 @@ "no FV: averaged time 2024-07-19 17:03:11.162328+00:00, NO2 trop col 7.1116e+15, unc 1.2792e+15\n", "no negative: averaged time 2024-07-19 17:03:11.162328+00:00, NO2 trop col 7.1116e+15, unc 1.2792e+15\n", "no Small: averaged time 2024-07-19 17:03:11.162328+00:00, NO2 trop col 7.1116e+15, unc 1.2792e+15\n", - "177646754_TEMPO_NO2_L2_V04_20240719T180254Z_S010G03_subsetted.nc\n", + "224523639_TEMPO_NO2_L2_V04_20240719T180254Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.835968 -73.900330 7.3427e+15 6.8990e+14 0\n", " 5 660 40.814957 -73.906662 6.8638e+15 7.2785e+14 0\n", @@ -3355,17 +3541,7 @@ "no FV: averaged time 2024-07-19 18:03:12.113895+00:00, NO2 trop col 7.5006e+15, unc 1.3294e+15\n", "no negative: averaged time 2024-07-19 18:03:12.113895+00:00, NO2 trop col 7.5006e+15, unc 1.3294e+15\n", "no Small: averaged time 2024-07-19 18:03:12.113895+00:00, NO2 trop col 7.5006e+15, unc 1.3294e+15\n", - "177646752_TEMPO_NO2_L2_V04_20240719T160254Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.834351 -73.916939 5.3210e+15 7.4403e+14 0\n", - " 5 660 40.813450 -73.923203 7.0950e+15 6.7120e+14 0\n", - " 6 659 40.831978 -73.978699 7.1399e+15 1.5424e+15 0\n", - " 6 660 40.811146 -73.984901 7.0486e+15 1.4883e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-19 16:03:11.312482+00:00, NO2 trop col 7.0866e+15, unc 1.0517e+15\n", - "no negative: averaged time 2024-07-19 16:03:11.312482+00:00, NO2 trop col 7.0866e+15, unc 1.0517e+15\n", - "no Small: averaged time 2024-07-19 16:03:11.312482+00:00, NO2 trop col 7.0866e+15, unc 1.0517e+15\n", - "177646755_TEMPO_NO2_L2_V04_20240719T190254Z_S011G03_subsetted.nc\n", + "224523640_TEMPO_NO2_L2_V04_20240719T190254Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.823448 -73.903252 9.1656e+15 1.5578e+15 0\n", " 5 660 40.802448 -73.909569 6.8894e+15 1.1295e+15 0\n", @@ -3375,7 +3551,17 @@ "no FV: averaged time 2024-07-19 19:03:12.134516+00:00, NO2 trop col 7.0393e+15, unc 1.6792e+15\n", "no negative: averaged time 2024-07-19 19:03:12.134516+00:00, NO2 trop col 7.0393e+15, unc 1.6792e+15\n", "no Small: averaged time 2024-07-19 19:03:12.134516+00:00, NO2 trop col 7.0393e+15, unc 1.6792e+15\n", - "177646756_TEMPO_NO2_L2_V04_20240719T200254Z_S012G03_subsetted.nc\n", + "224523637_TEMPO_NO2_L2_V04_20240719T160254Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.834351 -73.916939 5.3210e+15 7.4403e+14 0\n", + " 5 660 40.813450 -73.923203 7.0950e+15 6.7120e+14 0\n", + " 6 659 40.831978 -73.978699 7.1399e+15 1.5424e+15 0\n", + " 6 660 40.811146 -73.984901 7.0486e+15 1.4883e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-19 16:03:11.312482+00:00, NO2 trop col 7.0866e+15, unc 1.0517e+15\n", + "no negative: averaged time 2024-07-19 16:03:11.312482+00:00, NO2 trop col 7.0866e+15, unc 1.0517e+15\n", + "no Small: averaged time 2024-07-19 16:03:11.312482+00:00, NO2 trop col 7.0866e+15, unc 1.0517e+15\n", + "224523641_TEMPO_NO2_L2_V04_20240719T200254Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.827278 -73.888374 8.7665e+15 2.0402e+15 0\n", " 5 660 40.806339 -73.894676 9.3347e+15 1.5509e+15 0\n", @@ -3385,7 +3571,7 @@ "no FV: averaged time 2024-07-19 20:03:12.845658+00:00, NO2 trop col 8.6061e+15, unc 4.5665e+15\n", "no negative: averaged time 2024-07-19 20:03:12.845658+00:00, NO2 trop col 8.6061e+15, unc 4.5665e+15\n", "no Small: averaged time 2024-07-19 20:03:12.845658+00:00, NO2 trop col 8.6061e+15, unc 4.5665e+15\n", - "177646757_TEMPO_NO2_L2_V04_20240719T210254Z_S013G03_subsetted.nc\n", + "224523642_TEMPO_NO2_L2_V04_20240719T210254Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.834133 -73.907784 8.5729e+15 2.6154e+15 0\n", " 6 660 40.813114 -73.914116 1.7775e+16 8.2104e+15 0\n", @@ -3395,7 +3581,7 @@ "no FV: averaged time 2024-07-19 21:03:14.778360+00:00, NO2 trop col 1.3615e+16, unc 5.5028e+15\n", "no negative: averaged time 2024-07-19 21:03:14.778360+00:00, NO2 trop col 1.3615e+16, unc 5.5028e+15\n", "no Small: averaged time 2024-07-19 21:03:14.779775+00:00, NO2 trop col 1.3489e+16, unc 3.9171e+15\n", - "177646758_TEMPO_NO2_L2_V04_20240719T220254Z_S014G03_subsetted.nc\n", + "224523643_TEMPO_NO2_L2_V04_20240719T220254Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.825012 -73.923492 8.7347e+15 1.2259e+15 0\n", " 6 660 40.804138 -73.929733 1.1484e+16 3.0220e+15 0\n", @@ -3405,7 +3591,7 @@ "no FV: averaged time 2024-07-19 22:03:14.147903+00:00, NO2 trop col 9.4093e+15, unc 2.0197e+15\n", "no negative: averaged time 2024-07-19 22:03:14.147903+00:00, NO2 trop col 9.4093e+15, unc 2.0197e+15\n", "no Small: averaged time 2024-07-19 22:03:14.147903+00:00, NO2 trop col 9.4093e+15, unc 2.0197e+15\n", - "jobID = 441d4fcf-0bdd-4b53-88ae-522d01fac640\n" + "jobID = 6490779d-b0a2-4992-952f-1ee1cd6f3490\n" ] }, { @@ -3419,20 +3605,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177646873_TEMPO_NO2_L2_V04_20240720T112248Z_S002G03_subsetted.nc\n", - "./177646872_TEMPO_NO2_L2_V04_20240720T104243Z_S001G03_subsetted.nc\n", - "./177646874_TEMPO_NO2_L2_V04_20240720T120253Z_S003G03_subsetted.nc\n", - "./177646876_TEMPO_NO2_L2_V04_20240720T132303Z_S005G03_subsetted.nc\n", - "./177646875_TEMPO_NO2_L2_V04_20240720T124258Z_S004G03_subsetted.nc\n", - "./177646878_TEMPO_NO2_L2_V04_20240720T150306Z_S007G03_subsetted.nc\n", - "./177646877_TEMPO_NO2_L2_V04_20240720T140311Z_S006G03_subsetted.nc\n", - "./177646880_TEMPO_NO2_L2_V04_20240720T190311Z_S010G03_subsetted.nc\n", - "./177646879_TEMPO_NO2_L2_V04_20240720T180311Z_S009G03_subsetted.nc\n", - "./177646881_TEMPO_NO2_L2_V04_20240720T200311Z_S011G03_subsetted.nc\n", - "./177646882_TEMPO_NO2_L2_V04_20240720T210311Z_S012G03_subsetted.nc\n", - "./177646883_TEMPO_NO2_L2_V04_20240720T220311Z_S013G03_subsetted.nc\n", + "./224525802_TEMPO_NO2_L2_V04_20240720T112248Z_S002G03_subsetted.nc\n", + "./224525801_TEMPO_NO2_L2_V04_20240720T104243Z_S001G03_subsetted.nc\n", + "./224525804_TEMPO_NO2_L2_V04_20240720T124258Z_S004G03_subsetted.nc\n", + "./224525803_TEMPO_NO2_L2_V04_20240720T120253Z_S003G03_subsetted.nc\n", + "./224525805_TEMPO_NO2_L2_V04_20240720T132303Z_S005G03_subsetted.nc\n", + "./224525806_TEMPO_NO2_L2_V04_20240720T140311Z_S006G03_subsetted.nc\n", + "./224525807_TEMPO_NO2_L2_V04_20240720T150306Z_S007G03_subsetted.nc\n", + "./224525811_TEMPO_NO2_L2_V04_20240720T210311Z_S012G03_subsetted.nc\n", + "./224525809_TEMPO_NO2_L2_V04_20240720T190311Z_S010G03_subsetted.nc\n", + "./224525808_TEMPO_NO2_L2_V04_20240720T180311Z_S009G03_subsetted.nc\n", + "./224525810_TEMPO_NO2_L2_V04_20240720T200311Z_S011G03_subsetted.nc\n", + "./224525812_TEMPO_NO2_L2_V04_20240720T220311Z_S013G03_subsetted.nc\n", "Number of result files: 12\n", - "177646873_TEMPO_NO2_L2_V04_20240720T112248Z_S002G03_subsetted.nc\n", + "224525802_TEMPO_NO2_L2_V04_20240720T112248Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.836067 -73.932526 7.4751e+15 1.7998e+15 0\n", " 6 660 40.815315 -73.938683 9.4754e+15 2.4417e+15 0\n", @@ -3442,7 +3628,7 @@ "no FV: averaged time 2024-07-20 11:23:07.506773+00:00, NO2 trop col 9.4524e+15, unc 2.3945e+15\n", "no negative: averaged time 2024-07-20 11:23:07.506773+00:00, NO2 trop col 9.4524e+15, unc 2.3945e+15\n", "no Small: averaged time 2024-07-20 11:23:07.506773+00:00, NO2 trop col 9.4524e+15, unc 2.3945e+15\n", - "177646872_TEMPO_NO2_L2_V04_20240720T104243Z_S001G03_subsetted.nc\n", + "224525801_TEMPO_NO2_L2_V04_20240720T104243Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.825886 -73.896812 9.7583e+15 2.1832e+15 1\n", " 5 660 40.804955 -73.903099 7.2305e+15 2.1553e+15 1\n", @@ -3452,7 +3638,17 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177646874_TEMPO_NO2_L2_V04_20240720T120253Z_S003G03_subsetted.nc\n", + "224525804_TEMPO_NO2_L2_V04_20240720T124258Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.828213 -73.928207 1.2245e+16 1.7237e+15 0\n", + " 6 661 40.807163 -73.934547 1.0042e+16 1.3385e+15 0\n", + " 7 660 40.825817 -73.990173 1.0354e+16 1.3547e+15 0\n", + " 7 661 40.804810 -73.996468 1.1924e+16 1.2982e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-20 12:43:17.834684+00:00, NO2 trop col 1.0401e+16, unc 1.3897e+15\n", + "no negative: averaged time 2024-07-20 12:43:17.834684+00:00, NO2 trop col 1.0401e+16, unc 1.3897e+15\n", + "no Small: averaged time 2024-07-20 12:43:17.834684+00:00, NO2 trop col 1.0401e+16, unc 1.3897e+15\n", + "224525803_TEMPO_NO2_L2_V04_20240720T120253Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.832211 -73.924576 9.7906e+15 3.5250e+15 0\n", " 6 660 40.811321 -73.930824 1.1373e+16 2.4819e+15 0\n", @@ -3462,7 +3658,7 @@ "no FV: averaged time 2024-07-20 12:03:12.960115+00:00, NO2 trop col 1.1057e+16, unc 2.3448e+15\n", "no negative: averaged time 2024-07-20 12:03:12.960115+00:00, NO2 trop col 1.1057e+16, unc 2.3448e+15\n", "no Small: averaged time 2024-07-20 12:03:12.960115+00:00, NO2 trop col 1.1057e+16, unc 2.3448e+15\n", - "177646876_TEMPO_NO2_L2_V04_20240720T132303Z_S005G03_subsetted.nc\n", + "224525805_TEMPO_NO2_L2_V04_20240720T132303Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.831009 -73.888954 1.6417e+16 2.0605e+15 0\n", " 5 661 40.810017 -73.895287 1.4263e+16 2.2420e+15 0\n", @@ -3472,17 +3668,17 @@ "no FV: averaged time 2024-07-20 13:23:21.707589+00:00, NO2 trop col 1.2580e+16, unc 2.4498e+15\n", "no negative: averaged time 2024-07-20 13:23:21.707589+00:00, NO2 trop col 1.2580e+16, unc 2.4498e+15\n", "no Small: averaged time 2024-07-20 13:23:21.707589+00:00, NO2 trop col 1.2580e+16, unc 2.4498e+15\n", - "177646875_TEMPO_NO2_L2_V04_20240720T124258Z_S004G03_subsetted.nc\n", + "224525806_TEMPO_NO2_L2_V04_20240720T140311Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.828213 -73.928207 1.2245e+16 1.7237e+15 0\n", - " 6 661 40.807163 -73.934547 1.0042e+16 1.3385e+15 0\n", - " 7 660 40.825817 -73.990173 1.0354e+16 1.3547e+15 0\n", - " 7 661 40.804810 -73.996468 1.1924e+16 1.2982e+15 0\n", + " 4 659 40.836266 -73.891754 1.7091e+16 2.9645e+15 0\n", + " 4 660 40.815250 -73.898094 1.4262e+16 2.8764e+15 0\n", + " 5 659 40.833786 -73.953423 1.2155e+16 4.5591e+15 0\n", + " 5 660 40.812778 -73.959732 1.0170e+16 4.0256e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-20 12:43:17.834684+00:00, NO2 trop col 1.0401e+16, unc 1.3897e+15\n", - "no negative: averaged time 2024-07-20 12:43:17.834684+00:00, NO2 trop col 1.0401e+16, unc 1.3897e+15\n", - "no Small: averaged time 2024-07-20 12:43:17.834684+00:00, NO2 trop col 1.0401e+16, unc 1.3897e+15\n", - "177646878_TEMPO_NO2_L2_V04_20240720T150306Z_S007G03_subsetted.nc\n", + "no FV: averaged time 2024-07-20 14:03:26.507396+00:00, NO2 trop col 1.0945e+16, unc 3.9210e+15\n", + "no negative: averaged time 2024-07-20 14:03:26.507396+00:00, NO2 trop col 1.0945e+16, unc 3.9210e+15\n", + "no Small: averaged time 2024-07-20 14:03:26.507396+00:00, NO2 trop col 1.0945e+16, unc 3.9210e+15\n", + "224525807_TEMPO_NO2_L2_V04_20240720T150306Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 7 659 40.834553 -73.943398 1.4959e+16 2.1247e+15 0\n", " 7 660 40.813576 -73.949684 1.3863e+16 2.2274e+15 0\n", @@ -3492,17 +3688,17 @@ "no FV: averaged time 2024-07-20 15:03:27.992104+00:00, NO2 trop col 1.3947e+16, unc 2.2251e+15\n", "no negative: averaged time 2024-07-20 15:03:27.992104+00:00, NO2 trop col 1.3947e+16, unc 2.2251e+15\n", "no Small: averaged time 2024-07-20 15:03:27.992104+00:00, NO2 trop col 1.3947e+16, unc 2.2251e+15\n", - "177646877_TEMPO_NO2_L2_V04_20240720T140311Z_S006G03_subsetted.nc\n", + "224525811_TEMPO_NO2_L2_V04_20240720T210311Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.836266 -73.891754 1.7091e+16 2.9645e+15 0\n", - " 4 660 40.815250 -73.898094 1.4262e+16 2.8764e+15 0\n", - " 5 659 40.833786 -73.953423 1.2155e+16 4.5591e+15 0\n", - " 5 660 40.812778 -73.959732 1.0170e+16 4.0256e+15 0\n", + " 6 659 40.837658 -73.915886 5.2583e+15 2.1602e+15 0\n", + " 6 660 40.816689 -73.922188 4.8449e+15 3.1869e+15 0\n", + " 7 659 40.834541 -73.979225 1.0105e+16 3.8593e+15 0\n", + " 7 660 40.813572 -73.985504 7.8809e+15 3.0544e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-20 14:03:26.507396+00:00, NO2 trop col 1.0945e+16, unc 3.9210e+15\n", - "no negative: averaged time 2024-07-20 14:03:26.507396+00:00, NO2 trop col 1.0945e+16, unc 3.9210e+15\n", - "no Small: averaged time 2024-07-20 14:03:26.507396+00:00, NO2 trop col 1.0945e+16, unc 3.9210e+15\n", - "177646880_TEMPO_NO2_L2_V04_20240720T190311Z_S010G03_subsetted.nc\n", + "no FV: averaged time 2024-07-20 21:03:31.306777+00:00, NO2 trop col 6.2031e+15, unc 3.1279e+15\n", + "no negative: averaged time 2024-07-20 21:03:31.306777+00:00, NO2 trop col 6.2031e+15, unc 3.1279e+15\n", + "no Small: averaged time 2024-07-20 21:03:31.306777+00:00, NO2 trop col 6.2031e+15, unc 3.1279e+15\n", + "224525809_TEMPO_NO2_L2_V04_20240720T190311Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.822540 -73.894737 8.0063e+15 1.3275e+15 0\n", " 5 660 40.801662 -73.900993 9.4015e+15 1.3836e+15 0\n", @@ -3512,7 +3708,7 @@ "no FV: averaged time 2024-07-20 19:03:29.578737+00:00, NO2 trop col 1.0154e+16, unc 4.4247e+15\n", "no negative: averaged time 2024-07-20 19:03:29.578737+00:00, NO2 trop col 1.0154e+16, unc 4.4247e+15\n", "no Small: averaged time 2024-07-20 19:03:29.578737+00:00, NO2 trop col 1.0154e+16, unc 4.4247e+15\n", - "177646879_TEMPO_NO2_L2_V04_20240720T180311Z_S009G03_subsetted.nc\n", + "224525808_TEMPO_NO2_L2_V04_20240720T180311Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.830238 -73.896698 7.2231e+15 4.0629e+15 0\n", " 5 660 40.809303 -73.902985 8.1184e+15 4.8283e+15 0\n", @@ -3522,7 +3718,7 @@ "no FV: averaged time 2024-07-20 18:03:29.368113+00:00, NO2 trop col 8.8724e+15, unc 6.1305e+15\n", "no negative: averaged time 2024-07-20 18:03:29.368113+00:00, NO2 trop col 8.8724e+15, unc 6.1305e+15\n", "no Small: averaged time 2024-07-20 18:03:29.368113+00:00, NO2 trop col 8.8724e+15, unc 6.1305e+15\n", - "177646881_TEMPO_NO2_L2_V04_20240720T200311Z_S011G03_subsetted.nc\n", + "224525810_TEMPO_NO2_L2_V04_20240720T200311Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.818447 -73.891685 7.4449e+15 1.5223e+15 0\n", " 5 660 40.797573 -73.897942 8.2175e+15 2.6903e+15 0\n", @@ -3532,17 +3728,7 @@ "no FV: averaged time 2024-07-20 20:03:29.800025+00:00, NO2 trop col 5.9386e+15, unc 1.6978e+15\n", "no negative: averaged time 2024-07-20 20:03:29.800025+00:00, NO2 trop col 5.9386e+15, unc 1.6978e+15\n", "no Small: averaged time 2024-07-20 20:03:29.800025+00:00, NO2 trop col 5.9386e+15, unc 1.6978e+15\n", - "177646882_TEMPO_NO2_L2_V04_20240720T210311Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.837658 -73.915886 5.2583e+15 2.1602e+15 0\n", - " 6 660 40.816689 -73.922188 4.8449e+15 3.1869e+15 0\n", - " 7 659 40.834541 -73.979225 1.0105e+16 3.8593e+15 0\n", - " 7 660 40.813572 -73.985504 7.8809e+15 3.0544e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-20 21:03:31.306777+00:00, NO2 trop col 6.2031e+15, unc 3.1279e+15\n", - "no negative: averaged time 2024-07-20 21:03:31.306777+00:00, NO2 trop col 6.2031e+15, unc 3.1279e+15\n", - "no Small: averaged time 2024-07-20 21:03:31.306777+00:00, NO2 trop col 6.2031e+15, unc 3.1279e+15\n", - "177646883_TEMPO_NO2_L2_V04_20240720T220311Z_S013G03_subsetted.nc\n", + "224525812_TEMPO_NO2_L2_V04_20240720T220311Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.819794 -73.926620 6.5181e+15 2.7294e+15 0\n", " 6 660 40.798843 -73.932899 6.4386e+15 2.5645e+15 0\n", @@ -3552,7 +3738,7 @@ "no FV: averaged time 2024-07-20 22:03:31.072330+00:00, NO2 trop col 7.5533e+15, unc 2.7237e+15\n", "no negative: averaged time 2024-07-20 22:03:31.072330+00:00, NO2 trop col 7.5533e+15, unc 2.7237e+15\n", "no Small: averaged time 2024-07-20 22:03:31.072330+00:00, NO2 trop col 7.5533e+15, unc 2.7237e+15\n", - "jobID = cdb4b9a6-8c33-4e3a-8a9c-3dcd8127bd54\n" + "jobID = d9a6c097-90a4-4973-83db-3f5c6d7d0b0d\n" ] }, { @@ -3566,21 +3752,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177647667_TEMPO_NO2_L2_V04_20240721T104300Z_S001G03_subsetted.nc\n", - "./177647668_TEMPO_NO2_L2_V04_20240721T112305Z_S002G03_subsetted.nc\n", - "./177647669_TEMPO_NO2_L2_V04_20240721T120310Z_S003G03_subsetted.nc\n", - "./177647671_TEMPO_NO2_L2_V04_20240721T132320Z_S005G03_subsetted.nc\n", - "./177647670_TEMPO_NO2_L2_V04_20240721T124315Z_S004G03_subsetted.nc\n", - "./177647672_TEMPO_NO2_L2_V04_20240721T140328Z_S006G03_subsetted.nc\n", - "./177647673_TEMPO_NO2_L2_V04_20240721T150328Z_S007G03_subsetted.nc\n", - "./177647674_TEMPO_NO2_L2_V04_20240721T160328Z_S008G03_subsetted.nc\n", - "./177647675_TEMPO_NO2_L2_V04_20240721T180328Z_S010G03_subsetted.nc\n", - "./177647676_TEMPO_NO2_L2_V04_20240721T190328Z_S011G03_subsetted.nc\n", - "./177647678_TEMPO_NO2_L2_V04_20240721T210328Z_S013G03_subsetted.nc\n", - "./177647679_TEMPO_NO2_L2_V04_20240721T220328Z_S014G03_subsetted.nc\n", - "./177647677_TEMPO_NO2_L2_V04_20240721T200328Z_S012G03_subsetted.nc\n", + "./224526131_TEMPO_NO2_L2_V04_20240721T104300Z_S001G03_subsetted.nc\n", + "./224526132_TEMPO_NO2_L2_V04_20240721T112305Z_S002G03_subsetted.nc\n", + "./224526133_TEMPO_NO2_L2_V04_20240721T120310Z_S003G03_subsetted.nc\n", + "./224526134_TEMPO_NO2_L2_V04_20240721T124315Z_S004G03_subsetted.nc\n", + "./224526136_TEMPO_NO2_L2_V04_20240721T140328Z_S006G03_subsetted.nc\n", + "./224526135_TEMPO_NO2_L2_V04_20240721T132320Z_S005G03_subsetted.nc\n", + "./224526137_TEMPO_NO2_L2_V04_20240721T150328Z_S007G03_subsetted.nc\n", + "./224526140_TEMPO_NO2_L2_V04_20240721T190328Z_S011G03_subsetted.nc\n", + "./224526139_TEMPO_NO2_L2_V04_20240721T180328Z_S010G03_subsetted.nc\n", + "./224526138_TEMPO_NO2_L2_V04_20240721T160328Z_S008G03_subsetted.nc\n", + "./224526142_TEMPO_NO2_L2_V04_20240721T210328Z_S013G03_subsetted.nc\n", + "./224526141_TEMPO_NO2_L2_V04_20240721T200328Z_S012G03_subsetted.nc\n", + "./224526143_TEMPO_NO2_L2_V04_20240721T220328Z_S014G03_subsetted.nc\n", "Number of result files: 13\n", - "177647667_TEMPO_NO2_L2_V04_20240721T104300Z_S001G03_subsetted.nc\n", + "224526131_TEMPO_NO2_L2_V04_20240721T104300Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.819370 -73.893730 1.0475e+16 1.3604e+15 1\n", " 5 661 40.798492 -73.899986 9.4633e+15 1.1938e+15 1\n", @@ -3590,7 +3776,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177647668_TEMPO_NO2_L2_V04_20240721T112305Z_S002G03_subsetted.nc\n", + "224526132_TEMPO_NO2_L2_V04_20240721T112305Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.820938 -73.943779 5.0001e+15 8.1052e+14 0\n", " 6 661 40.800030 -73.950020 5.9016e+15 1.0645e+15 0\n", @@ -3600,7 +3786,7 @@ "no FV: averaged time 2024-07-21 11:23:24.180735+00:00, NO2 trop col 5.4384e+15, unc 8.9906e+14\n", "no negative: averaged time 2024-07-21 11:23:24.180735+00:00, NO2 trop col 5.4384e+15, unc 8.9906e+14\n", "no Small: averaged time 2024-07-21 11:23:24.180735+00:00, NO2 trop col 5.4384e+15, unc 8.9906e+14\n", - "177647669_TEMPO_NO2_L2_V04_20240721T120310Z_S003G03_subsetted.nc\n", + "224526133_TEMPO_NO2_L2_V04_20240721T120310Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.823395 -73.900398 6.1315e+15 1.0203e+15 0\n", " 5 660 40.802418 -73.906715 8.0937e+15 8.1605e+14 0\n", @@ -3610,17 +3796,7 @@ "no FV: averaged time 2024-07-21 12:03:28.254357+00:00, NO2 trop col 5.9097e+15, unc 9.5186e+14\n", "no negative: averaged time 2024-07-21 12:03:28.254357+00:00, NO2 trop col 5.9097e+15, unc 9.5186e+14\n", "no Small: averaged time 2024-07-21 12:03:28.254357+00:00, NO2 trop col 5.9097e+15, unc 9.5186e+14\n", - "177647671_TEMPO_NO2_L2_V04_20240721T132320Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.817276 -73.942612 3.3624e+15 6.1220e+14 0\n", - " 6 661 40.796425 -73.948837 5.4170e+15 6.3691e+14 0\n", - " 7 660 40.815147 -74.004578 3.8974e+15 6.2862e+14 0\n", - " 7 661 40.793488 -74.011276 3.5697e+15 7.3613e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-21 13:23:39.281269+00:00, NO2 trop col 3.5958e+15, unc 6.1619e+14\n", - "no negative: averaged time 2024-07-21 13:23:39.281269+00:00, NO2 trop col 3.5958e+15, unc 6.1619e+14\n", - "no Small: averaged time 2024-07-21 13:23:39.281269+00:00, NO2 trop col 3.5958e+15, unc 6.1619e+14\n", - "177647670_TEMPO_NO2_L2_V04_20240721T124315Z_S004G03_subsetted.nc\n", + "224526134_TEMPO_NO2_L2_V04_20240721T124315Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.817829 -73.904587 4.2645e+15 6.4683e+14 0\n", " 5 661 40.796864 -73.910896 6.9041e+15 8.6160e+14 0\n", @@ -3630,7 +3806,7 @@ "no FV: averaged time 2024-07-21 12:43:33.092319+00:00, NO2 trop col 5.4476e+15, unc 1.0265e+15\n", "no negative: averaged time 2024-07-21 12:43:33.092319+00:00, NO2 trop col 5.4476e+15, unc 1.0265e+15\n", "no Small: averaged time 2024-07-21 12:43:33.092319+00:00, NO2 trop col 5.4476e+15, unc 1.0265e+15\n", - "177647672_TEMPO_NO2_L2_V04_20240721T140328Z_S006G03_subsetted.nc\n", + "224526136_TEMPO_NO2_L2_V04_20240721T140328Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.833469 -73.897621 4.9881e+15 6.4057e+14 0\n", " 4 660 40.812450 -73.903961 4.7198e+15 6.4515e+14 0\n", @@ -3640,27 +3816,37 @@ "no FV: averaged time 2024-07-21 14:03:43.227223+00:00, NO2 trop col 4.2882e+15, unc 1.0219e+15\n", "no negative: averaged time 2024-07-21 14:03:43.227223+00:00, NO2 trop col 4.2882e+15, unc 1.0219e+15\n", "no Small: averaged time 2024-07-21 14:03:43.227223+00:00, NO2 trop col 4.2882e+15, unc 1.0219e+15\n", - "177647673_TEMPO_NO2_L2_V04_20240721T150328Z_S007G03_subsetted.nc\n", + "224526135_TEMPO_NO2_L2_V04_20240721T132320Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.825516 -73.909904 8.0570e+15 2.4254e+15 0\n", - " 4 660 40.804539 -73.916222 7.5041e+15 3.5687e+15 0\n", - " 5 659 40.822792 -73.972008 3.3751e+15 8.3402e+14 0\n", - " 5 660 40.801983 -73.978203 3.6315e+15 8.1774e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + " 6 660 40.817276 -73.942612 3.3624e+15 6.1220e+14 0\n", + " 6 661 40.796425 -73.948837 5.4170e+15 6.3691e+14 0\n", + " 7 660 40.815147 -74.004578 3.8974e+15 6.2862e+14 0\n", + " 7 661 40.793488 -74.011276 3.5697e+15 7.3613e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-21 13:23:39.281269+00:00, NO2 trop col 3.5958e+15, unc 6.1619e+14\n", + "no negative: averaged time 2024-07-21 13:23:39.281269+00:00, NO2 trop col 3.5958e+15, unc 6.1619e+14\n", + "no Small: averaged time 2024-07-21 13:23:39.281269+00:00, NO2 trop col 3.5958e+15, unc 6.1619e+14\n", + "224526137_TEMPO_NO2_L2_V04_20240721T150328Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 4 659 40.825516 -73.909904 8.0570e+15 2.4254e+15 0\n", + " 4 660 40.804539 -73.916222 7.5041e+15 3.5687e+15 0\n", + " 5 659 40.822792 -73.972008 3.3751e+15 8.3402e+14 0\n", + " 5 660 40.801983 -73.978203 3.6315e+15 8.1774e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", "no FV: averaged time 2024-07-21 15:03:42.727516+00:00, NO2 trop col 4.9813e+15, unc 1.8941e+15\n", "no negative: averaged time 2024-07-21 15:03:42.727516+00:00, NO2 trop col 4.9813e+15, unc 1.8941e+15\n", "no Small: averaged time 2024-07-21 15:03:42.727516+00:00, NO2 trop col 4.9813e+15, unc 1.8941e+15\n", - "177647674_TEMPO_NO2_L2_V04_20240721T160328Z_S008G03_subsetted.nc\n", + "224526140_TEMPO_NO2_L2_V04_20240721T190328Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.821266 -73.939430 4.6605e+15 2.4897e+15 0\n", - " 5 660 40.800381 -73.945671 6.6023e+15 6.1107e+15 0\n", - " 6 659 40.818615 -74.002380 5.6659e+15 4.8879e+15 0\n", - " 6 660 40.797100 -74.008987 3.3717e+15 4.2852e+15 0\n", + " 5 659 40.823330 -73.922127 1.4957e+16 1.0302e+16 0\n", + " 5 660 40.802486 -73.928352 1.7228e+16 1.2902e+16 0\n", + " 6 659 40.820778 -73.985184 9.2140e+15 6.8407e+15 0\n", + " 6 660 40.800331 -73.991135 1.0878e+16 5.9417e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-21 16:03:44.374656+00:00, NO2 trop col 5.3286e+15, unc 3.8137e+15\n", - "no negative: averaged time 2024-07-21 16:03:44.374656+00:00, NO2 trop col 5.3286e+15, unc 3.8137e+15\n", - "no Small: averaged time 2024-07-21 16:03:44.374656+00:00, NO2 trop col 5.3286e+15, unc 3.8137e+15\n", - "177647675_TEMPO_NO2_L2_V04_20240721T180328Z_S010G03_subsetted.nc\n", + "no FV: averaged time 2024-07-21 19:03:45.194036+00:00, NO2 trop col 1.3321e+16, unc 9.7276e+15\n", + "no negative: averaged time 2024-07-21 19:03:45.194036+00:00, NO2 trop col 1.3321e+16, unc 9.7276e+15\n", + "no Small: averaged time 2024-07-21 19:03:45.194036+00:00, NO2 trop col 1.3321e+16, unc 9.7276e+15\n", + "224526139_TEMPO_NO2_L2_V04_20240721T180328Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.825954 -73.918236 6.4603e+15 1.7042e+15 0\n", " 5 660 40.805061 -73.924492 9.1789e+15 2.5728e+15 0\n", @@ -3670,17 +3856,17 @@ "no FV: averaged time 2024-07-21 18:03:45.384249+00:00, NO2 trop col 6.6599e+15, unc 2.0251e+15\n", "no negative: averaged time 2024-07-21 18:03:45.384249+00:00, NO2 trop col 6.6599e+15, unc 2.0251e+15\n", "no Small: averaged time 2024-07-21 18:03:45.384249+00:00, NO2 trop col 6.6599e+15, unc 2.0251e+15\n", - "177647676_TEMPO_NO2_L2_V04_20240721T190328Z_S011G03_subsetted.nc\n", + "224526138_TEMPO_NO2_L2_V04_20240721T160328Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.823330 -73.922127 1.4957e+16 1.0302e+16 0\n", - " 5 660 40.802486 -73.928352 1.7228e+16 1.2902e+16 0\n", - " 6 659 40.820778 -73.985184 9.2140e+15 6.8407e+15 0\n", - " 6 660 40.800331 -73.991135 1.0878e+16 5.9417e+15 0\n", + " 5 659 40.821266 -73.939430 4.6605e+15 2.4897e+15 0\n", + " 5 660 40.800381 -73.945671 6.6023e+15 6.1107e+15 0\n", + " 6 659 40.818615 -74.002380 5.6659e+15 4.8879e+15 0\n", + " 6 660 40.797100 -74.008987 3.3717e+15 4.2852e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-21 19:03:45.194036+00:00, NO2 trop col 1.3321e+16, unc 9.7276e+15\n", - "no negative: averaged time 2024-07-21 19:03:45.194036+00:00, NO2 trop col 1.3321e+16, unc 9.7276e+15\n", - "no Small: averaged time 2024-07-21 19:03:45.194036+00:00, NO2 trop col 1.3321e+16, unc 9.7276e+15\n", - "177647678_TEMPO_NO2_L2_V04_20240721T210328Z_S013G03_subsetted.nc\n", + "no FV: averaged time 2024-07-21 16:03:44.374656+00:00, NO2 trop col 5.3286e+15, unc 3.8137e+15\n", + "no negative: averaged time 2024-07-21 16:03:44.374656+00:00, NO2 trop col 5.3286e+15, unc 3.8137e+15\n", + "no Small: averaged time 2024-07-21 16:03:44.374656+00:00, NO2 trop col 5.3286e+15, unc 3.8137e+15\n", + "224526142_TEMPO_NO2_L2_V04_20240721T210328Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.828423 -73.941185 8.5449e+15 2.0929e+15 0\n", " 6 660 40.807434 -73.947495 1.2424e+16 4.5654e+15 0\n", @@ -3690,17 +3876,7 @@ "no FV: averaged time 2024-07-21 21:03:47.224320+00:00, NO2 trop col 1.2059e+16, unc 4.8653e+15\n", "no negative: averaged time 2024-07-21 21:03:47.224320+00:00, NO2 trop col 1.2059e+16, unc 4.8653e+15\n", "no Small: averaged time 2024-07-21 21:03:47.224320+00:00, NO2 trop col 1.2059e+16, unc 4.8653e+15\n", - "177647679_TEMPO_NO2_L2_V04_20240721T220328Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.832954 -73.886620 2.2821e+16 3.4589e+15 0\n", - " 5 660 40.811962 -73.892944 2.9796e+16 9.5182e+15 0\n", - " 6 659 40.830658 -73.949364 2.0231e+16 1.4909e+16 0\n", - " 6 660 40.809574 -73.955711 2.3216e+16 2.0761e+16 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-21 22:03:46.789300+00:00, NO2 trop col 2.2794e+16, unc 1.8577e+16\n", - "no negative: averaged time 2024-07-21 22:03:46.789300+00:00, NO2 trop col 2.2794e+16, unc 1.8577e+16\n", - "no Small: averaged time 2024-07-21 22:03:46.789300+00:00, NO2 trop col 2.2794e+16, unc 1.8577e+16\n", - "177647677_TEMPO_NO2_L2_V04_20240721T200328Z_S012G03_subsetted.nc\n", + "224526141_TEMPO_NO2_L2_V04_20240721T200328Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.818344 -73.930847 2.1732e+16 1.4451e+16 0\n", " 5 660 40.797325 -73.937172 1.5509e+16 3.9464e+15 0\n", @@ -3710,7 +3886,17 @@ "no FV: averaged time 2024-07-21 20:03:44.828682+00:00, NO2 trop col 1.6695e+16, unc 1.1475e+16\n", "no negative: averaged time 2024-07-21 20:03:44.828682+00:00, NO2 trop col 1.6695e+16, unc 1.1475e+16\n", "no Small: averaged time 2024-07-21 20:03:44.922823+00:00, NO2 trop col 1.6961e+16, unc 8.6304e+15\n", - "jobID = 5b50ed3c-ab47-48b5-a747-58e076633c76\n" + "224526143_TEMPO_NO2_L2_V04_20240721T220328Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.832954 -73.886620 2.2821e+16 3.4589e+15 0\n", + " 5 660 40.811962 -73.892944 2.9796e+16 9.5182e+15 0\n", + " 6 659 40.830658 -73.949364 2.0231e+16 1.4909e+16 0\n", + " 6 660 40.809574 -73.955711 2.3216e+16 2.0761e+16 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-21 22:03:46.789300+00:00, NO2 trop col 2.2794e+16, unc 1.8577e+16\n", + "no negative: averaged time 2024-07-21 22:03:46.789300+00:00, NO2 trop col 2.2794e+16, unc 1.8577e+16\n", + "no Small: averaged time 2024-07-21 22:03:46.789300+00:00, NO2 trop col 2.2794e+16, unc 1.8577e+16\n", + "jobID = f3bf866a-44b4-49c7-a7b5-4b82635dd7af\n" ] }, { @@ -3724,22 +3910,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177647823_TEMPO_NO2_L2_V04_20240722T112323Z_S002G03_subsetted.nc\n", - "./177647822_TEMPO_NO2_L2_V04_20240722T104318Z_S001G03_subsetted.nc\n", - "./177647824_TEMPO_NO2_L2_V04_20240722T120328Z_S003G03_subsetted.nc\n", - "./177647825_TEMPO_NO2_L2_V04_20240722T124333Z_S004G03_subsetted.nc\n", - "./177647826_TEMPO_NO2_L2_V04_20240722T132338Z_S005G03_subsetted.nc\n", - "./177647827_TEMPO_NO2_L2_V04_20240722T140346Z_S006G03_subsetted.nc\n", - "./177647829_TEMPO_NO2_L2_V04_20240722T160346Z_S008G03_subsetted.nc\n", - "./177647828_TEMPO_NO2_L2_V04_20240722T150346Z_S007G03_subsetted.nc\n", - "./177647830_TEMPO_NO2_L2_V04_20240722T170346Z_S009G03_subsetted.nc\n", - "./177647831_TEMPO_NO2_L2_V04_20240722T180346Z_S010G03_subsetted.nc\n", - "./177647832_TEMPO_NO2_L2_V04_20240722T190346Z_S011G03_subsetted.nc\n", - "./177647833_TEMPO_NO2_L2_V04_20240722T200346Z_S012G03_subsetted.nc\n", - "./177647834_TEMPO_NO2_L2_V04_20240722T210346Z_S013G03_subsetted.nc\n", - "./177647835_TEMPO_NO2_L2_V04_20240722T220346Z_S014G03_subsetted.nc\n", + "./224526450_TEMPO_NO2_L2_V04_20240722T112323Z_S002G03_subsetted.nc\n", + "./224526449_TEMPO_NO2_L2_V04_20240722T104318Z_S001G03_subsetted.nc\n", + "./224526452_TEMPO_NO2_L2_V04_20240722T124333Z_S004G03_subsetted.nc\n", + "./224526451_TEMPO_NO2_L2_V04_20240722T120328Z_S003G03_subsetted.nc\n", + "./224526453_TEMPO_NO2_L2_V04_20240722T132338Z_S005G03_subsetted.nc\n", + "./224526454_TEMPO_NO2_L2_V04_20240722T140346Z_S006G03_subsetted.nc\n", + "./224526456_TEMPO_NO2_L2_V04_20240722T160346Z_S008G03_subsetted.nc\n", + "./224526457_TEMPO_NO2_L2_V04_20240722T170346Z_S009G03_subsetted.nc\n", + "./224526458_TEMPO_NO2_L2_V04_20240722T180346Z_S010G03_subsetted.nc\n", + "./224526455_TEMPO_NO2_L2_V04_20240722T150346Z_S007G03_subsetted.nc\n", + "./224526459_TEMPO_NO2_L2_V04_20240722T190346Z_S011G03_subsetted.nc\n", + "./224526460_TEMPO_NO2_L2_V04_20240722T200346Z_S012G03_subsetted.nc\n", + "./224526461_TEMPO_NO2_L2_V04_20240722T210346Z_S013G03_subsetted.nc\n", + "./224526462_TEMPO_NO2_L2_V04_20240722T220346Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177647823_TEMPO_NO2_L2_V04_20240722T112323Z_S002G03_subsetted.nc\n", + "224526450_TEMPO_NO2_L2_V04_20240722T112323Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.833115 -73.910873 1.4609e+16 3.5306e+15 0\n", " 5 660 40.812111 -73.917183 1.3077e+16 3.3977e+15 0\n", @@ -3749,7 +3935,7 @@ "no FV: averaged time 2024-07-22 11:23:40.602482+00:00, NO2 trop col 1.2878e+16, unc 2.9114e+15\n", "no negative: averaged time 2024-07-22 11:23:40.602482+00:00, NO2 trop col 1.2878e+16, unc 2.9114e+15\n", "no Small: averaged time 2024-07-22 11:23:40.602482+00:00, NO2 trop col 1.2878e+16, unc 2.9114e+15\n", - "177647822_TEMPO_NO2_L2_V04_20240722T104318Z_S001G03_subsetted.nc\n", + "224526449_TEMPO_NO2_L2_V04_20240722T104318Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 660 40.819710 -73.922661 7.8389e+15 2.4005e+15 1\n", " 4 661 40.798836 -73.928902 2.0703e+16 3.4781e+15 1\n", @@ -3759,17 +3945,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177647824_TEMPO_NO2_L2_V04_20240722T120328Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.816498 -73.947945 1.7757e+16 3.7858e+15 0\n", - " 5 660 40.795601 -73.954185 1.6643e+16 6.2768e+15 0\n", - " 6 659 40.814808 -74.009109 1.0020e+16 4.6356e+15 0\n", - " 6 660 40.793346 -74.015671 1.4284e+16 9.0274e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-22 12:03:44.005037+00:00, NO2 trop col 1.7416e+16, unc 3.9520e+15\n", - "no negative: averaged time 2024-07-22 12:03:44.005037+00:00, NO2 trop col 1.7416e+16, unc 3.9520e+15\n", - "no Small: averaged time 2024-07-22 12:03:44.005037+00:00, NO2 trop col 1.7416e+16, unc 3.9520e+15\n", - "177647825_TEMPO_NO2_L2_V04_20240722T124333Z_S004G03_subsetted.nc\n", + "224526452_TEMPO_NO2_L2_V04_20240722T124333Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.821972 -73.943832 1.7331e+16 5.0355e+15 0\n", " 6 661 40.801033 -73.950111 1.9759e+16 5.1434e+15 0\n", @@ -3779,7 +3955,17 @@ "no FV: averaged time 2024-07-22 12:43:52.164617+00:00, NO2 trop col 1.7903e+16, unc 5.1471e+15\n", "no negative: averaged time 2024-07-22 12:43:52.164617+00:00, NO2 trop col 1.7903e+16, unc 5.1471e+15\n", "no Small: averaged time 2024-07-22 12:43:52.164617+00:00, NO2 trop col 1.7903e+16, unc 5.1471e+15\n", - "177647826_TEMPO_NO2_L2_V04_20240722T132338Z_S005G03_subsetted.nc\n", + "224526451_TEMPO_NO2_L2_V04_20240722T120328Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.816498 -73.947945 1.7757e+16 3.7858e+15 0\n", + " 5 660 40.795601 -73.954185 1.6643e+16 6.2768e+15 0\n", + " 6 659 40.814808 -74.009109 1.0020e+16 4.6356e+15 0\n", + " 6 660 40.793346 -74.015671 1.4284e+16 9.0274e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-22 12:03:44.005037+00:00, NO2 trop col 1.7416e+16, unc 3.9520e+15\n", + "no negative: averaged time 2024-07-22 12:03:44.005037+00:00, NO2 trop col 1.7416e+16, unc 3.9520e+15\n", + "no Small: averaged time 2024-07-22 12:03:44.005037+00:00, NO2 trop col 1.7416e+16, unc 3.9520e+15\n", + "224526453_TEMPO_NO2_L2_V04_20240722T132338Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.825226 -73.905632 2.3487e+16 1.1066e+16 0\n", " 5 661 40.804180 -73.911995 1.3622e+16 1.5666e+16 0\n", @@ -3789,7 +3975,7 @@ "no FV: averaged time 2024-07-22 13:23:55.941248+00:00, NO2 trop col 1.8594e+16, unc 1.2090e+16\n", "no negative: averaged time 2024-07-22 13:23:55.941248+00:00, NO2 trop col 1.8594e+16, unc 1.2090e+16\n", "no Small: averaged time 2024-07-22 13:23:55.941724+00:00, NO2 trop col 2.1739e+16, unc 9.9269e+15\n", - "177647827_TEMPO_NO2_L2_V04_20240722T140346Z_S006G03_subsetted.nc\n", + "224526454_TEMPO_NO2_L2_V04_20240722T140346Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.834393 -73.925980 2.5082e+16 2.4443e+15 0\n", " 4 660 40.813583 -73.932190 2.3737e+16 2.2837e+15 0\n", @@ -3799,7 +3985,7 @@ "no FV: averaged time 2024-07-22 14:03:59.818162+00:00, NO2 trop col 2.4693e+16, unc 2.4371e+15\n", "no negative: averaged time 2024-07-22 14:03:59.818162+00:00, NO2 trop col 2.4693e+16, unc 2.4371e+15\n", "no Small: averaged time 2024-07-22 14:03:59.818162+00:00, NO2 trop col 2.4693e+16, unc 2.4371e+15\n", - "177647829_TEMPO_NO2_L2_V04_20240722T160346Z_S008G03_subsetted.nc\n", + "224526456_TEMPO_NO2_L2_V04_20240722T160346Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.828304 -73.915489 2.0133e+16 9.4149e+15 0\n", " 4 660 40.807388 -73.921768 1.2243e+16 3.5599e+15 0\n", @@ -3809,17 +3995,7 @@ "no FV: averaged time 2024-07-22 16:04:00.451649+00:00, NO2 trop col 1.6872e+16, unc 4.8704e+15\n", "no negative: averaged time 2024-07-22 16:04:00.451649+00:00, NO2 trop col 1.6872e+16, unc 4.8704e+15\n", "no Small: averaged time 2024-07-22 16:04:00.451649+00:00, NO2 trop col 1.6872e+16, unc 4.8704e+15\n", - "177647828_TEMPO_NO2_L2_V04_20240722T150346Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.818851 -73.922569 1.8949e+16 3.2498e+15 0\n", - " 4 660 40.797962 -73.928825 1.5734e+16 2.6748e+15 0\n", - " 5 659 40.816635 -73.984985 1.9811e+16 2.7378e+15 0\n", - " 5 660 40.796135 -73.990974 1.6125e+16 2.5654e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-22 15:04:00.201131+00:00, NO2 trop col 1.8926e+16, unc 2.9558e+15\n", - "no negative: averaged time 2024-07-22 15:04:00.201131+00:00, NO2 trop col 1.8926e+16, unc 2.9558e+15\n", - "no Small: averaged time 2024-07-22 15:04:00.201131+00:00, NO2 trop col 1.8926e+16, unc 2.9558e+15\n", - "177647830_TEMPO_NO2_L2_V04_20240722T170346Z_S009G03_subsetted.nc\n", + "224526457_TEMPO_NO2_L2_V04_20240722T170346Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.830292 -73.891914 9.0223e+15 1.8949e+15 0\n", " 4 660 40.809341 -73.898216 7.1101e+15 1.9367e+15 0\n", @@ -3829,7 +4005,7 @@ "no FV: averaged time 2024-07-22 17:04:01.589924+00:00, NO2 trop col 1.1065e+16, unc 3.1696e+15\n", "no negative: averaged time 2024-07-22 17:04:01.589924+00:00, NO2 trop col 1.1065e+16, unc 3.1696e+15\n", "no Small: averaged time 2024-07-22 17:04:01.589924+00:00, NO2 trop col 1.1065e+16, unc 3.1696e+15\n", - "177647831_TEMPO_NO2_L2_V04_20240722T180346Z_S010G03_subsetted.nc\n", + "224526458_TEMPO_NO2_L2_V04_20240722T180346Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.832577 -73.935471 1.2976e+15 3.9052e+15 0\n", " 5 660 40.811726 -73.941696 1.0426e+16 3.6531e+15 0\n", @@ -3839,7 +4015,17 @@ "no FV: averaged time 2024-07-22 18:04:02.410427+00:00, NO2 trop col 9.1723e+15, unc 3.8353e+15\n", "no negative: averaged time 2024-07-22 18:04:02.410427+00:00, NO2 trop col 9.1723e+15, unc 3.8353e+15\n", "no Small: averaged time 2024-07-22 18:04:03.439776+00:00, NO2 trop col 8.3838e+15, unc 3.6223e+15\n", - "177647832_TEMPO_NO2_L2_V04_20240722T190346Z_S011G03_subsetted.nc\n", + "224526455_TEMPO_NO2_L2_V04_20240722T150346Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 4 659 40.818851 -73.922569 1.8949e+16 3.2498e+15 0\n", + " 4 660 40.797962 -73.928825 1.5734e+16 2.6748e+15 0\n", + " 5 659 40.816635 -73.984985 1.9811e+16 2.7378e+15 0\n", + " 5 660 40.796135 -73.990974 1.6125e+16 2.5654e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-22 15:04:00.201131+00:00, NO2 trop col 1.8926e+16, unc 2.9558e+15\n", + "no negative: averaged time 2024-07-22 15:04:00.201131+00:00, NO2 trop col 1.8926e+16, unc 2.9558e+15\n", + "no Small: averaged time 2024-07-22 15:04:00.201131+00:00, NO2 trop col 1.8926e+16, unc 2.9558e+15\n", + "224526459_TEMPO_NO2_L2_V04_20240722T190346Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.834347 -73.887794 4.5230e+15 2.1963e+15 0\n", " 4 660 40.813377 -73.894112 6.5890e+15 2.3345e+15 0\n", @@ -3849,7 +4035,7 @@ "no FV: averaged time 2024-07-22 19:04:01.746571+00:00, NO2 trop col 3.2306e+15, unc 1.9079e+15\n", "no negative: averaged time 2024-07-22 19:04:01.746571+00:00, NO2 trop col 3.2306e+15, unc 1.9079e+15\n", "no Small: averaged time 2024-07-22 19:04:01.746571+00:00, NO2 trop col 3.2306e+15, unc 1.9079e+15\n", - "177647833_TEMPO_NO2_L2_V04_20240722T200346Z_S012G03_subsetted.nc\n", + "224526460_TEMPO_NO2_L2_V04_20240722T200346Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.830975 -73.903564 7.7384e+15 2.4598e+15 0\n", " 5 659 40.809895 -73.909943 2.4546e+15 1.9141e+15 0\n", @@ -3859,7 +4045,7 @@ "no FV: averaged time 2024-07-22 20:04:04.030841+00:00, NO2 trop col 4.4230e+15, unc 2.2234e+15\n", "no negative: averaged time 2024-07-22 20:04:04.030841+00:00, NO2 trop col 4.4230e+15, unc 2.2234e+15\n", "no Small: averaged time 2024-07-22 20:04:04.030841+00:00, NO2 trop col 4.4230e+15, unc 2.2234e+15\n", - "177647834_TEMPO_NO2_L2_V04_20240722T210346Z_S013G03_subsetted.nc\n", + "224526461_TEMPO_NO2_L2_V04_20240722T210346Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.832253 -73.929451 4.8630e+15 5.1983e+15 0\n", " 6 660 40.811363 -73.935692 7.1933e+15 3.4185e+15 0\n", @@ -3869,7 +4055,7 @@ "no FV: averaged time 2024-07-22 21:04:05.748133+00:00, NO2 trop col 7.6351e+15, unc 3.4195e+15\n", "no negative: averaged time 2024-07-22 21:04:05.748133+00:00, NO2 trop col 7.6351e+15, unc 3.4195e+15\n", "no Small: averaged time 2024-07-22 21:04:05.748133+00:00, NO2 trop col 7.6351e+15, unc 3.4195e+15\n", - "177647835_TEMPO_NO2_L2_V04_20240722T220346Z_S014G03_subsetted.nc\n", + "224526462_TEMPO_NO2_L2_V04_20240722T220346Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.821331 -73.948540 8.3751e+15 2.9654e+15 0\n", " 6 660 40.800278 -73.954887 5.0000e+15 4.0846e+15 0\n", @@ -3879,7 +4065,7 @@ "no FV: averaged time 2024-07-22 22:04:04.961472+00:00, NO2 trop col 7.4122e+15, unc 3.2893e+15\n", "no negative: averaged time 2024-07-22 22:04:04.961472+00:00, NO2 trop col 7.4122e+15, unc 3.2893e+15\n", "no Small: averaged time 2024-07-22 22:04:04.961472+00:00, NO2 trop col 7.4122e+15, unc 3.2893e+15\n", - "jobID = 638efab5-32eb-4ef4-bbc7-62614da712c0\n" + "jobID = dcd1f812-8df2-45b2-8542-eaf82a08ab4e\n" ] }, { @@ -3893,22 +4079,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177647964_TEMPO_NO2_L2_V04_20240723T104334Z_S001G03_subsetted.nc\n", - "./177647965_TEMPO_NO2_L2_V04_20240723T112339Z_S002G03_subsetted.nc\n", - "./177647966_TEMPO_NO2_L2_V04_20240723T120344Z_S003G03_subsetted.nc\n", - "./177647967_TEMPO_NO2_L2_V04_20240723T124349Z_S004G03_subsetted.nc\n", - "./177647969_TEMPO_NO2_L2_V04_20240723T140402Z_S006G03_subsetted.nc\n", - "./177647968_TEMPO_NO2_L2_V04_20240723T132354Z_S005G03_subsetted.nc\n", - "./177647973_TEMPO_NO2_L2_V04_20240723T180402Z_S010G03_subsetted.nc\n", - "./177647972_TEMPO_NO2_L2_V04_20240723T170402Z_S009G03_subsetted.nc\n", - "./177647971_TEMPO_NO2_L2_V04_20240723T160402Z_S008G03_subsetted.nc\n", - "./177647970_TEMPO_NO2_L2_V04_20240723T150402Z_S007G03_subsetted.nc\n", - "./177647974_TEMPO_NO2_L2_V04_20240723T190402Z_S011G03_subsetted.nc\n", - "./177647976_TEMPO_NO2_L2_V04_20240723T210402Z_S013G03_subsetted.nc\n", - "./177647975_TEMPO_NO2_L2_V04_20240723T200402Z_S012G03_subsetted.nc\n", - "./177647977_TEMPO_NO2_L2_V04_20240723T220402Z_S014G03_subsetted.nc\n", + "./224526751_TEMPO_NO2_L2_V04_20240723T104334Z_S001G03_subsetted.nc\n", + "./224526752_TEMPO_NO2_L2_V04_20240723T112339Z_S002G03_subsetted.nc\n", + "./224526753_TEMPO_NO2_L2_V04_20240723T120344Z_S003G03_subsetted.nc\n", + "./224526754_TEMPO_NO2_L2_V04_20240723T124349Z_S004G03_subsetted.nc\n", + "./224526755_TEMPO_NO2_L2_V04_20240723T132354Z_S005G03_subsetted.nc\n", + "./224526756_TEMPO_NO2_L2_V04_20240723T140402Z_S006G03_subsetted.nc\n", + "./224526757_TEMPO_NO2_L2_V04_20240723T150402Z_S007G03_subsetted.nc\n", + "./224526758_TEMPO_NO2_L2_V04_20240723T160402Z_S008G03_subsetted.nc\n", + "./224526760_TEMPO_NO2_L2_V04_20240723T180402Z_S010G03_subsetted.nc\n", + "./224526759_TEMPO_NO2_L2_V04_20240723T170402Z_S009G03_subsetted.nc\n", + "./224526761_TEMPO_NO2_L2_V04_20240723T190402Z_S011G03_subsetted.nc\n", + "./224526762_TEMPO_NO2_L2_V04_20240723T200402Z_S012G03_subsetted.nc\n", + "./224526763_TEMPO_NO2_L2_V04_20240723T210402Z_S013G03_subsetted.nc\n", + "./224526764_TEMPO_NO2_L2_V04_20240723T220402Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177647964_TEMPO_NO2_L2_V04_20240723T104334Z_S001G03_subsetted.nc\n", + "224526751_TEMPO_NO2_L2_V04_20240723T104334Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.818043 -73.909721 1.1359e+16 2.6787e+15 1\n", " 5 661 40.797081 -73.916008 9.0815e+15 2.5317e+15 1\n", @@ -3918,7 +4104,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177647965_TEMPO_NO2_L2_V04_20240723T112339Z_S002G03_subsetted.nc\n", + "224526752_TEMPO_NO2_L2_V04_20240723T112339Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.837429 -73.885757 1.1262e+16 2.8830e+15 0\n", " 5 660 40.816437 -73.892075 8.5213e+15 1.7173e+15 0\n", @@ -3928,7 +4114,7 @@ "no FV: averaged time 2024-07-23 11:23:57.748794+00:00, NO2 trop col 8.1261e+15, unc 2.5386e+15\n", "no negative: averaged time 2024-07-23 11:23:57.748794+00:00, NO2 trop col 8.1261e+15, unc 2.5386e+15\n", "no Small: averaged time 2024-07-23 11:23:57.748794+00:00, NO2 trop col 8.1261e+15, unc 2.5386e+15\n", - "177647966_TEMPO_NO2_L2_V04_20240723T120344Z_S003G03_subsetted.nc\n", + "224526753_TEMPO_NO2_L2_V04_20240723T120344Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.831757 -73.909500 9.0012e+15 1.3747e+15 0\n", " 5 660 40.810745 -73.915833 1.4716e+16 1.9459e+15 0\n", @@ -3938,7 +4124,7 @@ "no FV: averaged time 2024-07-23 12:04:01.667093+00:00, NO2 trop col 1.1802e+16, unc 1.7217e+15\n", "no negative: averaged time 2024-07-23 12:04:01.667093+00:00, NO2 trop col 1.1802e+16, unc 1.7217e+15\n", "no Small: averaged time 2024-07-23 12:04:01.667093+00:00, NO2 trop col 1.1802e+16, unc 1.7217e+15\n", - "177647967_TEMPO_NO2_L2_V04_20240723T124349Z_S004G03_subsetted.nc\n", + "224526754_TEMPO_NO2_L2_V04_20240723T124349Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.821861 -73.938057 1.6765e+16 2.4732e+15 0\n", " 6 661 40.800945 -73.944321 2.0051e+16 2.0298e+15 0\n", @@ -3948,7 +4134,17 @@ "no FV: averaged time 2024-07-23 12:44:08.439938+00:00, NO2 trop col 1.7346e+16, unc 2.4582e+15\n", "no negative: averaged time 2024-07-23 12:44:08.439938+00:00, NO2 trop col 1.7346e+16, unc 2.4582e+15\n", "no Small: averaged time 2024-07-23 12:44:08.439938+00:00, NO2 trop col 1.7346e+16, unc 2.4582e+15\n", - "177647969_TEMPO_NO2_L2_V04_20240723T140402Z_S006G03_subsetted.nc\n", + "224526755_TEMPO_NO2_L2_V04_20240723T132354Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.817307 -73.944107 2.4146e+16 2.9317e+15 0\n", + " 6 661 40.796474 -73.950325 2.3715e+16 2.9076e+15 0\n", + " 7 660 40.815712 -74.005554 2.8035e+16 3.7130e+15 0\n", + " 7 661 40.794060 -74.012245 1.9136e+16 6.4690e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-23 13:24:13.211514+00:00, NO2 trop col 2.4477e+16, unc 3.0038e+15\n", + "no negative: averaged time 2024-07-23 13:24:13.211514+00:00, NO2 trop col 2.4477e+16, unc 3.0038e+15\n", + "no Small: averaged time 2024-07-23 13:24:13.211514+00:00, NO2 trop col 2.4477e+16, unc 3.0038e+15\n", + "224526756_TEMPO_NO2_L2_V04_20240723T140402Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 660 40.818279 -73.904045 4.5650e+16 5.0874e+15 0\n", " 4 661 40.797314 -73.910355 5.2007e+16 6.0694e+15 0\n", @@ -3958,17 +4154,27 @@ "no FV: averaged time 2024-07-23 14:04:17.108375+00:00, NO2 trop col 4.7667e+16, unc 5.5860e+15\n", "no negative: averaged time 2024-07-23 14:04:17.108375+00:00, NO2 trop col 4.7667e+16, unc 5.5860e+15\n", "no Small: averaged time 2024-07-23 14:04:17.108375+00:00, NO2 trop col 4.7667e+16, unc 5.5860e+15\n", - "177647968_TEMPO_NO2_L2_V04_20240723T132354Z_S005G03_subsetted.nc\n", + "224526757_TEMPO_NO2_L2_V04_20240723T150402Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.817307 -73.944107 2.4146e+16 2.9317e+15 0\n", - " 6 661 40.796474 -73.950325 2.3715e+16 2.9076e+15 0\n", - " 7 660 40.815712 -74.005554 2.8035e+16 3.7130e+15 0\n", - " 7 661 40.794060 -74.012245 1.9136e+16 6.4690e+15 0\n", + " 4 659 40.834908 -73.915833 2.2996e+16 1.9076e+15 0\n", + " 4 660 40.813972 -73.922127 3.1195e+16 3.1306e+15 0\n", + " 5 659 40.831936 -73.978577 4.9898e+15 2.2189e+15 0\n", + " 5 660 40.811104 -73.984779 7.3066e+15 1.9514e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-23 13:24:13.211514+00:00, NO2 trop col 2.4477e+16, unc 3.0038e+15\n", - "no negative: averaged time 2024-07-23 13:24:13.211514+00:00, NO2 trop col 2.4477e+16, unc 3.0038e+15\n", - "no Small: averaged time 2024-07-23 13:24:13.211514+00:00, NO2 trop col 2.4477e+16, unc 3.0038e+15\n", - "177647973_TEMPO_NO2_L2_V04_20240723T180402Z_S010G03_subsetted.nc\n", + "no FV: averaged time 2024-07-23 15:04:16.301322+00:00, NO2 trop col 1.9778e+16, unc 2.6158e+15\n", + "no negative: averaged time 2024-07-23 15:04:16.301322+00:00, NO2 trop col 1.9778e+16, unc 2.6158e+15\n", + "no Small: averaged time 2024-07-23 15:04:16.301322+00:00, NO2 trop col 1.9778e+16, unc 2.6158e+15\n", + "224526758_TEMPO_NO2_L2_V04_20240723T160402Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 4 659 40.817047 -73.898537 4.3486e+16 4.5017e+15 0\n", + " 4 660 40.796150 -73.904808 3.5478e+16 2.9600e+15 0\n", + " 5 659 40.815350 -73.960632 3.9323e+16 5.6073e+15 0\n", + " 5 660 40.794220 -73.967018 3.5151e+16 3.5026e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-23 16:04:17.403633+00:00, NO2 trop col 3.9883e+16, unc 5.4008e+15\n", + "no negative: averaged time 2024-07-23 16:04:17.403633+00:00, NO2 trop col 3.9883e+16, unc 5.4008e+15\n", + "no Small: averaged time 2024-07-23 16:04:17.403633+00:00, NO2 trop col 3.9883e+16, unc 5.4008e+15\n", + "224526760_TEMPO_NO2_L2_V04_20240723T180402Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.817417 -73.915253 2.2746e+16 6.1951e+15 0\n", " 5 661 40.796509 -73.921532 3.1368e+16 8.3683e+15 0\n", @@ -3978,7 +4184,7 @@ "no FV: averaged time 2024-07-23 18:04:19.653734+00:00, NO2 trop col 4.6863e+16, unc 1.0202e+16\n", "no negative: averaged time 2024-07-23 18:04:19.653734+00:00, NO2 trop col 4.6863e+16, unc 1.0202e+16\n", "no Small: averaged time 2024-07-23 18:04:19.653734+00:00, NO2 trop col 4.6863e+16, unc 1.0202e+16\n", - "177647972_TEMPO_NO2_L2_V04_20240723T170402Z_S009G03_subsetted.nc\n", + "224526759_TEMPO_NO2_L2_V04_20240723T170402Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.827045 -73.944382 3.7551e+16 9.4998e+15 0\n", " 5 660 40.805923 -73.950775 3.9319e+16 4.9747e+15 0\n", @@ -3988,27 +4194,7 @@ "no FV: averaged time 2024-07-23 17:04:18.045332+00:00, NO2 trop col 3.8038e+16, unc 6.9645e+15\n", "no negative: averaged time 2024-07-23 17:04:18.045332+00:00, NO2 trop col 3.8038e+16, unc 6.9645e+15\n", "no Small: averaged time 2024-07-23 17:04:18.045332+00:00, NO2 trop col 3.8038e+16, unc 6.9645e+15\n", - "177647971_TEMPO_NO2_L2_V04_20240723T160402Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.817047 -73.898537 4.3486e+16 4.5017e+15 0\n", - " 4 660 40.796150 -73.904808 3.5478e+16 2.9600e+15 0\n", - " 5 659 40.815350 -73.960632 3.9323e+16 5.6073e+15 0\n", - " 5 660 40.794220 -73.967018 3.5151e+16 3.5026e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-23 16:04:17.403633+00:00, NO2 trop col 3.9883e+16, unc 5.4008e+15\n", - "no negative: averaged time 2024-07-23 16:04:17.403633+00:00, NO2 trop col 3.9883e+16, unc 5.4008e+15\n", - "no Small: averaged time 2024-07-23 16:04:17.403633+00:00, NO2 trop col 3.9883e+16, unc 5.4008e+15\n", - "177647970_TEMPO_NO2_L2_V04_20240723T150402Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.834908 -73.915833 2.2996e+16 1.9076e+15 0\n", - " 4 660 40.813972 -73.922127 3.1195e+16 3.1306e+15 0\n", - " 5 659 40.831936 -73.978577 4.9898e+15 2.2189e+15 0\n", - " 5 660 40.811104 -73.984779 7.3066e+15 1.9514e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-23 15:04:16.301322+00:00, NO2 trop col 1.9778e+16, unc 2.6158e+15\n", - "no negative: averaged time 2024-07-23 15:04:16.301322+00:00, NO2 trop col 1.9778e+16, unc 2.6158e+15\n", - "no Small: averaged time 2024-07-23 15:04:16.301322+00:00, NO2 trop col 1.9778e+16, unc 2.6158e+15\n", - "177647974_TEMPO_NO2_L2_V04_20240723T190402Z_S011G03_subsetted.nc\n", + "224526761_TEMPO_NO2_L2_V04_20240723T190402Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.827995 -73.928658 3.8990e+16 9.5568e+15 0\n", " 5 659 40.806973 -73.934998 3.6680e+16 5.8923e+15 0\n", @@ -4018,17 +4204,7 @@ "no FV: averaged time 2024-07-23 19:04:18.839056+00:00, NO2 trop col 3.8254e+16, unc 7.7230e+15\n", "no negative: averaged time 2024-07-23 19:04:18.839056+00:00, NO2 trop col 3.8254e+16, unc 7.7230e+15\n", "no Small: averaged time 2024-07-23 19:04:18.839056+00:00, NO2 trop col 3.8254e+16, unc 7.7230e+15\n", - "177647976_TEMPO_NO2_L2_V04_20240723T210402Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.822643 -73.902298 9.8526e+15 2.5243e+15 0\n", - " 5 660 40.801670 -73.908607 1.6555e+16 6.2410e+15 0\n", - " 6 659 40.820423 -73.963829 1.3584e+16 8.0806e+15 0\n", - " 6 660 40.799355 -73.970177 1.7838e+16 6.8320e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-23 21:04:20.226761+00:00, NO2 trop col 1.4419e+16, unc 7.5990e+15\n", - "no negative: averaged time 2024-07-23 21:04:20.226761+00:00, NO2 trop col 1.4419e+16, unc 7.5990e+15\n", - "no Small: averaged time 2024-07-23 21:04:20.226761+00:00, NO2 trop col 1.4419e+16, unc 7.5990e+15\n", - "177647975_TEMPO_NO2_L2_V04_20240723T200402Z_S012G03_subsetted.nc\n", + "224526762_TEMPO_NO2_L2_V04_20240723T200402Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.827793 -73.908127 3.5713e+16 2.6994e+15 0\n", " 5 660 40.806797 -73.914444 3.5565e+16 3.9031e+15 0\n", @@ -4038,7 +4214,17 @@ "no FV: averaged time 2024-07-23 20:04:19.814441+00:00, NO2 trop col 2.7424e+16, unc 5.9461e+15\n", "no negative: averaged time 2024-07-23 20:04:19.814441+00:00, NO2 trop col 2.7424e+16, unc 5.9461e+15\n", "no Small: averaged time 2024-07-23 20:04:19.814441+00:00, NO2 trop col 2.7424e+16, unc 5.9461e+15\n", - "177647977_TEMPO_NO2_L2_V04_20240723T220402Z_S014G03_subsetted.nc\n", + "224526763_TEMPO_NO2_L2_V04_20240723T210402Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.822643 -73.902298 9.8526e+15 2.5243e+15 0\n", + " 5 660 40.801670 -73.908607 1.6555e+16 6.2410e+15 0\n", + " 6 659 40.820423 -73.963829 1.3584e+16 8.0806e+15 0\n", + " 6 660 40.799355 -73.970177 1.7838e+16 6.8320e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-23 21:04:20.226761+00:00, NO2 trop col 1.4419e+16, unc 7.5990e+15\n", + "no negative: averaged time 2024-07-23 21:04:20.226761+00:00, NO2 trop col 1.4419e+16, unc 7.5990e+15\n", + "no Small: averaged time 2024-07-23 21:04:20.226761+00:00, NO2 trop col 1.4419e+16, unc 7.5990e+15\n", + "224526764_TEMPO_NO2_L2_V04_20240723T220402Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.824287 -73.886742 1.9886e+16 5.1717e+15 0\n", " 5 660 40.803371 -73.893028 2.0095e+16 5.9750e+15 0\n", @@ -4047,21 +4233,8 @@ "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", "no FV: averaged time 2024-07-23 22:04:20.915270+00:00, NO2 trop col 2.0793e+16, unc 4.1152e+15\n", "no negative: averaged time 2024-07-23 22:04:20.915270+00:00, NO2 trop col 2.0793e+16, unc 4.1152e+15\n", - "no Small: averaged time 2024-07-23 22:04:20.915270+00:00, NO2 trop col 2.0793e+16, unc 4.1152e+15\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " [ Processing: 0% ] | | [/]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "jobID = 9f532630-faaf-4c9d-9f2f-909cf5c9dbaf\n" + "no Small: averaged time 2024-07-23 22:04:20.915270+00:00, NO2 trop col 2.0793e+16, unc 4.1152e+15\n", + "jobID = 29625ab3-7e2b-4227-b3a6-0fda46e24899\n" ] }, { @@ -4075,32 +4248,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177648033_TEMPO_NO2_L2_V04_20240725T112412Z_S002G03_subsetted.nc\n", - "./177648032_TEMPO_NO2_L2_V04_20240725T104407Z_S001G03_subsetted.nc\n", - "./177648035_TEMPO_NO2_L2_V04_20240725T124422Z_S004G03_subsetted.nc\n", - "./177648034_TEMPO_NO2_L2_V04_20240725T120417Z_S003G03_subsetted.nc\n", - "./177648036_TEMPO_NO2_L2_V04_20240725T132427Z_S005G03_subsetted.nc\n", - "./177648037_TEMPO_NO2_L2_V04_20240725T140435Z_S006G03_subsetted.nc\n", - "./177648038_TEMPO_NO2_L2_V04_20240725T150435Z_S007G03_subsetted.nc\n", - "./177648040_TEMPO_NO2_L2_V04_20240725T170435Z_S009G03_subsetted.nc\n", - "./177648039_TEMPO_NO2_L2_V04_20240725T160435Z_S008G03_subsetted.nc\n", - "./177648041_TEMPO_NO2_L2_V04_20240725T180435Z_S010G03_subsetted.nc\n", - "./177648042_TEMPO_NO2_L2_V04_20240725T190435Z_S011G03_subsetted.nc\n", - "./177648043_TEMPO_NO2_L2_V04_20240725T200435Z_S012G03_subsetted.nc\n", - "./177648044_TEMPO_NO2_L2_V04_20240725T210435Z_S013G03_subsetted.nc\n", - "./177648045_TEMPO_NO2_L2_V04_20240725T220435Z_S014G03_subsetted.nc\n", + "./224527090_TEMPO_NO2_L2_V04_20240725T104407Z_S001G03_subsetted.nc\n", + "./224527092_TEMPO_NO2_L2_V04_20240725T120417Z_S003G03_subsetted.nc\n", + "./224527091_TEMPO_NO2_L2_V04_20240725T112412Z_S002G03_subsetted.nc\n", + "./224527093_TEMPO_NO2_L2_V04_20240725T124422Z_S004G03_subsetted.nc\n", + "./224527094_TEMPO_NO2_L2_V04_20240725T132427Z_S005G03_subsetted.nc\n", + "./224527095_TEMPO_NO2_L2_V04_20240725T140435Z_S006G03_subsetted.nc\n", + "./224527096_TEMPO_NO2_L2_V04_20240725T150435Z_S007G03_subsetted.nc\n", + "./224527097_TEMPO_NO2_L2_V04_20240725T160435Z_S008G03_subsetted.nc\n", + "./224527098_TEMPO_NO2_L2_V04_20240725T170435Z_S009G03_subsetted.nc\n", + "./224527100_TEMPO_NO2_L2_V04_20240725T190435Z_S011G03_subsetted.nc\n", + "./224527101_TEMPO_NO2_L2_V04_20240725T200435Z_S012G03_subsetted.nc\n", + "./224527099_TEMPO_NO2_L2_V04_20240725T180435Z_S010G03_subsetted.nc\n", + "./224527102_TEMPO_NO2_L2_V04_20240725T210435Z_S013G03_subsetted.nc\n", + "./224527103_TEMPO_NO2_L2_V04_20240725T220435Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177648033_TEMPO_NO2_L2_V04_20240725T112412Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.819462 -73.934097 1.0937e+16 1.6021e+15 0\n", - " 5 660 40.798443 -73.940407 1.1403e+16 2.5396e+15 0\n", - " 6 659 40.816448 -73.997238 9.6678e+15 2.1177e+15 0\n", - " 6 660 40.795158 -74.003693 8.8066e+15 2.1698e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-25 11:24:28.606016+00:00, NO2 trop col 1.0704e+16, unc 1.8806e+15\n", - "no negative: averaged time 2024-07-25 11:24:28.606016+00:00, NO2 trop col 1.0704e+16, unc 1.8806e+15\n", - "no Small: averaged time 2024-07-25 11:24:28.606016+00:00, NO2 trop col 1.0704e+16, unc 1.8806e+15\n", - "177648032_TEMPO_NO2_L2_V04_20240725T104407Z_S001G03_subsetted.nc\n", + "224527090_TEMPO_NO2_L2_V04_20240725T104407Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.830273 -73.901405 2.1552e+16 5.9998e+15 1\n", " 5 660 40.809208 -73.907776 1.1566e+16 6.8652e+15 1\n", @@ -4110,17 +4273,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177648035_TEMPO_NO2_L2_V04_20240725T124422Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.834484 -73.938812 1.4027e+16 7.0244e+15 0\n", - " 6 661 40.813515 -73.945114 1.7885e+16 7.1841e+15 0\n", - " 7 660 40.832466 -74.000252 1.8919e+16 1.0313e+16 0\n", - " 7 661 40.811436 -74.006554 5.2754e+15 1.0740e+16 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-25 12:44:41.217465+00:00, NO2 trop col 1.7947e+16, unc 7.4899e+15\n", - "no negative: averaged time 2024-07-25 12:44:41.217465+00:00, NO2 trop col 1.7947e+16, unc 7.4899e+15\n", - "no Small: averaged time 2024-07-25 12:44:41.933203+00:00, NO2 trop col 1.6944e+16, unc 8.1737e+15\n", - "177648034_TEMPO_NO2_L2_V04_20240725T120417Z_S003G03_subsetted.nc\n", + "224527092_TEMPO_NO2_L2_V04_20240725T120417Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.834366 -73.923264 1.5065e+16 8.1118e+15 0\n", " 5 659 40.813545 -73.929466 4.1511e+15 8.1022e+15 0\n", @@ -4130,7 +4283,27 @@ "no FV: averaged time 2024-07-25 12:04:33.962869+00:00, NO2 trop col 4.9174e+15, unc 7.4401e+15\n", "no negative: averaged time 2024-07-25 12:04:33.962869+00:00, NO2 trop col 4.9174e+15, unc 7.4401e+15\n", "no Small: averaged time 2024-07-25 12:04:34.403602+00:00, NO2 trop col 1.2323e+16, unc 6.5951e+15\n", - "177648036_TEMPO_NO2_L2_V04_20240725T132427Z_S005G03_subsetted.nc\n", + "224527091_TEMPO_NO2_L2_V04_20240725T112412Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.819462 -73.934097 1.0937e+16 1.6021e+15 0\n", + " 5 660 40.798443 -73.940407 1.1403e+16 2.5396e+15 0\n", + " 6 659 40.816448 -73.997238 9.6678e+15 2.1177e+15 0\n", + " 6 660 40.795158 -74.003693 8.8066e+15 2.1698e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-25 11:24:28.606016+00:00, NO2 trop col 1.0704e+16, unc 1.8806e+15\n", + "no negative: averaged time 2024-07-25 11:24:28.606016+00:00, NO2 trop col 1.0704e+16, unc 1.8806e+15\n", + "no Small: averaged time 2024-07-25 11:24:28.606016+00:00, NO2 trop col 1.0704e+16, unc 1.8806e+15\n", + "224527093_TEMPO_NO2_L2_V04_20240725T124422Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.834484 -73.938812 1.4027e+16 7.0244e+15 0\n", + " 6 661 40.813515 -73.945114 1.7885e+16 7.1841e+15 0\n", + " 7 660 40.832466 -74.000252 1.8919e+16 1.0313e+16 0\n", + " 7 661 40.811436 -74.006554 5.2754e+15 1.0740e+16 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-25 12:44:41.217465+00:00, NO2 trop col 1.7947e+16, unc 7.4899e+15\n", + "no negative: averaged time 2024-07-25 12:44:41.217465+00:00, NO2 trop col 1.7947e+16, unc 7.4899e+15\n", + "no Small: averaged time 2024-07-25 12:44:41.933203+00:00, NO2 trop col 1.6944e+16, unc 8.1737e+15\n", + "224527094_TEMPO_NO2_L2_V04_20240725T132427Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.819214 -73.900063 1.5201e+16 5.1796e+15 0\n", " 5 661 40.798275 -73.906342 1.6451e+16 5.4836e+15 0\n", @@ -4140,7 +4313,7 @@ "no FV: averaged time 2024-07-25 13:24:45.336397+00:00, NO2 trop col 1.7096e+16, unc 6.0122e+15\n", "no negative: averaged time 2024-07-25 13:24:45.336397+00:00, NO2 trop col 1.7096e+16, unc 6.0122e+15\n", "no Small: averaged time 2024-07-25 13:24:45.336397+00:00, NO2 trop col 1.7096e+16, unc 6.0122e+15\n", - "177648037_TEMPO_NO2_L2_V04_20240725T140435Z_S006G03_subsetted.nc\n", + "224527095_TEMPO_NO2_L2_V04_20240725T140435Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.826382 -73.924812 1.2341e+16 8.4691e+15 0\n", " 4 660 40.805431 -73.931107 1.1929e+16 6.7282e+15 0\n", @@ -4150,7 +4323,7 @@ "no FV: averaged time 2024-07-25 14:04:49.003482+00:00, NO2 trop col 1.3252e+16, unc 7.8134e+15\n", "no negative: averaged time 2024-07-25 14:04:49.003482+00:00, NO2 trop col 1.3252e+16, unc 7.8134e+15\n", "no Small: averaged time 2024-07-25 14:04:49.003482+00:00, NO2 trop col 1.3252e+16, unc 7.8134e+15\n", - "177648038_TEMPO_NO2_L2_V04_20240725T150435Z_S007G03_subsetted.nc\n", + "224527096_TEMPO_NO2_L2_V04_20240725T150435Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 658 40.831635 -73.941368 1.3616e+16 9.4935e+15 0\n", " 4 659 40.810604 -73.947701 1.0257e+16 1.0174e+16 0\n", @@ -4160,17 +4333,7 @@ "no FV: averaged time 2024-07-25 15:04:48.099791+00:00, NO2 trop col 1.1359e+16, unc 1.0017e+16\n", "no negative: averaged time 2024-07-25 15:04:48.099791+00:00, NO2 trop col 1.1359e+16, unc 1.0017e+16\n", "no Small: averaged time 2024-07-25 15:04:48.099791+00:00, NO2 trop col 1.1359e+16, unc 1.0017e+16\n", - "177648040_TEMPO_NO2_L2_V04_20240725T170435Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.827183 -73.893509 1.0045e+16 3.8568e+15 0\n", - " 4 660 40.806278 -73.899780 8.8709e+15 1.4313e+15 0\n", - " 5 659 40.825195 -73.954514 8.4996e+15 4.4479e+15 0\n", - " 5 660 40.804062 -73.960907 8.7022e+15 5.4540e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-25 17:04:50.568133+00:00, NO2 trop col 8.6165e+15, unc 4.4650e+15\n", - "no negative: averaged time 2024-07-25 17:04:50.568133+00:00, NO2 trop col 8.6165e+15, unc 4.4650e+15\n", - "no Small: averaged time 2024-07-25 17:04:50.568133+00:00, NO2 trop col 8.6165e+15, unc 4.4650e+15\n", - "177648039_TEMPO_NO2_L2_V04_20240725T160435Z_S008G03_subsetted.nc\n", + "224527097_TEMPO_NO2_L2_V04_20240725T160435Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.829060 -73.909492 1.1225e+16 4.9682e+15 0\n", " 4 660 40.808083 -73.915802 9.0648e+15 3.3037e+15 0\n", @@ -4180,17 +4343,17 @@ "no FV: averaged time 2024-07-25 16:04:49.720032+00:00, NO2 trop col 1.1470e+16, unc 4.8737e+15\n", "no negative: averaged time 2024-07-25 16:04:49.720032+00:00, NO2 trop col 1.1470e+16, unc 4.8737e+15\n", "no Small: averaged time 2024-07-25 16:04:49.720032+00:00, NO2 trop col 1.1470e+16, unc 4.8737e+15\n", - "177648041_TEMPO_NO2_L2_V04_20240725T180435Z_S010G03_subsetted.nc\n", + "224527098_TEMPO_NO2_L2_V04_20240725T170435Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.832012 -73.943924 1.2998e+16 7.0209e+15 0\n", - " 5 660 40.810951 -73.950272 1.0538e+16 4.6691e+15 0\n", - " 6 659 40.830093 -74.005699 8.1493e+15 1.6272e+15 0\n", - " 6 660 40.809113 -74.011971 8.1834e+15 2.6083e+15 0\n", + " 4 659 40.827183 -73.893509 1.0045e+16 3.8568e+15 0\n", + " 4 660 40.806278 -73.899780 8.8709e+15 1.4313e+15 0\n", + " 5 659 40.825195 -73.954514 8.4996e+15 4.4479e+15 0\n", + " 5 660 40.804062 -73.960907 8.7022e+15 5.4540e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-25 18:04:50.991589+00:00, NO2 trop col 1.0930e+16, unc 5.0245e+15\n", - "no negative: averaged time 2024-07-25 18:04:50.991589+00:00, NO2 trop col 1.0930e+16, unc 5.0245e+15\n", - "no Small: averaged time 2024-07-25 18:04:50.991589+00:00, NO2 trop col 1.0930e+16, unc 5.0245e+15\n", - "177648042_TEMPO_NO2_L2_V04_20240725T190435Z_S011G03_subsetted.nc\n", + "no FV: averaged time 2024-07-25 17:04:50.568133+00:00, NO2 trop col 8.6165e+15, unc 4.4650e+15\n", + "no negative: averaged time 2024-07-25 17:04:50.568133+00:00, NO2 trop col 8.6165e+15, unc 4.4650e+15\n", + "no Small: averaged time 2024-07-25 17:04:50.568133+00:00, NO2 trop col 8.6165e+15, unc 4.4650e+15\n", + "224527100_TEMPO_NO2_L2_V04_20240725T190435Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.823986 -73.891876 8.1862e+15 4.3213e+15 0\n", " 4 660 40.803108 -73.898132 5.0585e+15 5.8432e+15 0\n", @@ -4200,7 +4363,7 @@ "no FV: averaged time 2024-07-25 19:04:50.665550+00:00, NO2 trop col 6.7658e+15, unc 1.4713e+15\n", "no negative: averaged time 2024-07-25 19:04:50.665550+00:00, NO2 trop col 6.7658e+15, unc 1.4713e+15\n", "no Small: averaged time 2024-07-25 19:04:50.665220+00:00, NO2 trop col 6.9540e+15, unc 1.3471e+15\n", - "177648043_TEMPO_NO2_L2_V04_20240725T200435Z_S012G03_subsetted.nc\n", + "224527101_TEMPO_NO2_L2_V04_20240725T200435Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.824825 -73.918839 7.6774e+15 2.5985e+15 0\n", " 5 660 40.803951 -73.925087 6.3699e+15 4.1663e+15 0\n", @@ -4210,7 +4373,17 @@ "no FV: averaged time 2024-07-25 20:04:52.323203+00:00, NO2 trop col 4.7347e+15, unc 3.0740e+15\n", "no negative: averaged time 2024-07-25 20:04:52.323203+00:00, NO2 trop col 4.7347e+15, unc 3.0740e+15\n", "no Small: averaged time 2024-07-25 20:04:52.323203+00:00, NO2 trop col 4.7347e+15, unc 3.0740e+15\n", - "177648044_TEMPO_NO2_L2_V04_20240725T210435Z_S013G03_subsetted.nc\n", + "224527099_TEMPO_NO2_L2_V04_20240725T180435Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.832012 -73.943924 1.2998e+16 7.0209e+15 0\n", + " 5 660 40.810951 -73.950272 1.0538e+16 4.6691e+15 0\n", + " 6 659 40.830093 -74.005699 8.1493e+15 1.6272e+15 0\n", + " 6 660 40.809113 -74.011971 8.1834e+15 2.6083e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-25 18:04:50.991589+00:00, NO2 trop col 1.0930e+16, unc 5.0245e+15\n", + "no negative: averaged time 2024-07-25 18:04:50.991589+00:00, NO2 trop col 1.0930e+16, unc 5.0245e+15\n", + "no Small: averaged time 2024-07-25 18:04:50.991589+00:00, NO2 trop col 1.0930e+16, unc 5.0245e+15\n", + "224527102_TEMPO_NO2_L2_V04_20240725T210435Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.830444 -73.913704 5.8944e+15 2.9754e+15 0\n", " 5 660 40.809547 -73.919960 5.2067e+15 3.1576e+15 0\n", @@ -4220,7 +4393,7 @@ "no FV: averaged time 2024-07-25 21:04:52.519353+00:00, NO2 trop col 5.9469e+15, unc 3.2780e+15\n", "no negative: averaged time 2024-07-25 21:04:52.519353+00:00, NO2 trop col 5.9469e+15, unc 3.2780e+15\n", "no Small: averaged time 2024-07-25 21:04:52.519353+00:00, NO2 trop col 5.9469e+15, unc 3.2780e+15\n", - "177648045_TEMPO_NO2_L2_V04_20240725T220435Z_S014G03_subsetted.nc\n", + "224527103_TEMPO_NO2_L2_V04_20240725T220435Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.828697 -73.913651 7.2723e+15 5.2364e+15 0\n", " 5 660 40.807808 -73.919899 1.0803e+16 5.0569e+15 0\n", @@ -4230,7 +4403,7 @@ "no FV: averaged time 2024-07-25 22:04:52.540320+00:00, NO2 trop col 1.0724e+16, unc 4.6794e+15\n", "no negative: averaged time 2024-07-25 22:04:52.540320+00:00, NO2 trop col 1.0724e+16, unc 4.6794e+15\n", "no Small: averaged time 2024-07-25 22:04:52.540320+00:00, NO2 trop col 1.0724e+16, unc 4.6794e+15\n", - "jobID = 18cd5678-63a7-4a3b-8b66-c3a1f253c13c\n" + "jobID = 6f9a066c-a71a-492b-8b5b-4e639cc0c497\n" ] }, { @@ -4244,22 +4417,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177648209_TEMPO_NO2_L2_V04_20240726T104424Z_S001G03_subsetted.nc\n", - "./177648210_TEMPO_NO2_L2_V04_20240726T112429Z_S002G03_subsetted.nc\n", - "./177648212_TEMPO_NO2_L2_V04_20240726T124439Z_S004G03_subsetted.nc\n", - "./177648213_TEMPO_NO2_L2_V04_20240726T132444Z_S005G03_subsetted.nc\n", - "./177648214_TEMPO_NO2_L2_V04_20240726T140452Z_S006G03_subsetted.nc\n", - "./177648216_TEMPO_NO2_L2_V04_20240726T160452Z_S008G03_subsetted.nc\n", - "./177648215_TEMPO_NO2_L2_V04_20240726T150452Z_S007G03_subsetted.nc\n", - "./177648211_TEMPO_NO2_L2_V04_20240726T120434Z_S003G03_subsetted.nc\n", - "./177648217_TEMPO_NO2_L2_V04_20240726T170452Z_S009G03_subsetted.nc\n", - "./177648219_TEMPO_NO2_L2_V04_20240726T190452Z_S011G03_subsetted.nc\n", - "./177648218_TEMPO_NO2_L2_V04_20240726T180452Z_S010G03_subsetted.nc\n", - "./177648221_TEMPO_NO2_L2_V04_20240726T210452Z_S013G03_subsetted.nc\n", - "./177648220_TEMPO_NO2_L2_V04_20240726T200452Z_S012G03_subsetted.nc\n", - "./177648222_TEMPO_NO2_L2_V04_20240726T220452Z_S014G03_subsetted.nc\n", + "./224527395_TEMPO_NO2_L2_V04_20240726T104424Z_S001G03_subsetted.nc\n", + "./224527396_TEMPO_NO2_L2_V04_20240726T112429Z_S002G03_subsetted.nc\n", + "./224527397_TEMPO_NO2_L2_V04_20240726T120434Z_S003G03_subsetted.nc\n", + "./224527398_TEMPO_NO2_L2_V04_20240726T124439Z_S004G03_subsetted.nc\n", + "./224527399_TEMPO_NO2_L2_V04_20240726T132444Z_S005G03_subsetted.nc\n", + "./224527400_TEMPO_NO2_L2_V04_20240726T140452Z_S006G03_subsetted.nc\n", + "./224527401_TEMPO_NO2_L2_V04_20240726T150452Z_S007G03_subsetted.nc\n", + "./224527402_TEMPO_NO2_L2_V04_20240726T160452Z_S008G03_subsetted.nc\n", + "./224527403_TEMPO_NO2_L2_V04_20240726T170452Z_S009G03_subsetted.nc\n", + "./224527404_TEMPO_NO2_L2_V04_20240726T180452Z_S010G03_subsetted.nc\n", + "./224527405_TEMPO_NO2_L2_V04_20240726T190452Z_S011G03_subsetted.nc\n", + "./224527406_TEMPO_NO2_L2_V04_20240726T200452Z_S012G03_subsetted.nc\n", + "./224527407_TEMPO_NO2_L2_V04_20240726T210452Z_S013G03_subsetted.nc\n", + "./224527408_TEMPO_NO2_L2_V04_20240726T220452Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177648209_TEMPO_NO2_L2_V04_20240726T104424Z_S001G03_subsetted.nc\n", + "224527395_TEMPO_NO2_L2_V04_20240726T104424Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.817951 -73.905174 5.9757e+15 1.6523e+15 1\n", " 6 661 40.796974 -73.911476 7.7563e+15 1.4960e+15 1\n", @@ -4269,7 +4442,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177648210_TEMPO_NO2_L2_V04_20240726T112429Z_S002G03_subsetted.nc\n", + "224527396_TEMPO_NO2_L2_V04_20240726T112429Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.818691 -73.899124 6.2384e+15 1.3210e+15 0\n", " 5 661 40.797771 -73.905418 4.8223e+15 1.2017e+15 0\n", @@ -4279,7 +4452,17 @@ "no FV: averaged time 2024-07-26 11:24:47.345584+00:00, NO2 trop col 3.7719e+15, unc 1.4296e+15\n", "no negative: averaged time 2024-07-26 11:24:47.345584+00:00, NO2 trop col 3.7719e+15, unc 1.4296e+15\n", "no Small: averaged time 2024-07-26 11:24:47.345584+00:00, NO2 trop col 3.7719e+15, unc 1.4296e+15\n", - "177648212_TEMPO_NO2_L2_V04_20240726T124439Z_S004G03_subsetted.nc\n", + "224527397_TEMPO_NO2_L2_V04_20240726T120434Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.822670 -73.928566 3.8068e+15 1.0583e+15 0\n", + " 5 660 40.801662 -73.934898 4.6104e+15 1.1896e+15 0\n", + " 6 659 40.819984 -73.991356 6.0748e+15 1.3048e+15 0\n", + " 6 660 40.799038 -73.997612 4.3184e+15 1.1110e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-26 12:04:50.861206+00:00, NO2 trop col 4.7774e+15, unc 1.1774e+15\n", + "no negative: averaged time 2024-07-26 12:04:50.861206+00:00, NO2 trop col 4.7774e+15, unc 1.1774e+15\n", + "no Small: averaged time 2024-07-26 12:04:50.861206+00:00, NO2 trop col 4.7774e+15, unc 1.1774e+15\n", + "224527398_TEMPO_NO2_L2_V04_20240726T124439Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.835453 -73.903130 5.0724e+15 1.1811e+15 0\n", " 5 660 40.814407 -73.909485 5.8217e+15 1.0563e+15 0\n", @@ -4289,7 +4472,7 @@ "no FV: averaged time 2024-07-26 12:44:56.937218+00:00, NO2 trop col 4.4721e+15, unc 1.2007e+15\n", "no negative: averaged time 2024-07-26 12:44:56.937218+00:00, NO2 trop col 4.4721e+15, unc 1.2007e+15\n", "no Small: averaged time 2024-07-26 12:44:56.937218+00:00, NO2 trop col 4.4721e+15, unc 1.2007e+15\n", - "177648213_TEMPO_NO2_L2_V04_20240726T132444Z_S005G03_subsetted.nc\n", + "224527399_TEMPO_NO2_L2_V04_20240726T132444Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.826786 -73.913284 3.1585e+15 9.5740e+14 0\n", " 5 660 40.805859 -73.919563 3.0814e+15 6.8449e+14 0\n", @@ -4299,7 +4482,7 @@ "no FV: averaged time 2024-07-26 13:25:01.539030+00:00, NO2 trop col 5.5680e+15, unc 8.8745e+14\n", "no negative: averaged time 2024-07-26 13:25:01.539030+00:00, NO2 trop col 5.5680e+15, unc 8.8745e+14\n", "no Small: averaged time 2024-07-26 13:25:01.539030+00:00, NO2 trop col 5.5680e+15, unc 8.8745e+14\n", - "177648214_TEMPO_NO2_L2_V04_20240726T140452Z_S006G03_subsetted.nc\n", + "224527400_TEMPO_NO2_L2_V04_20240726T140452Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.836746 -73.913696 3.4679e+15 7.1076e+14 0\n", " 4 660 40.815701 -73.920052 4.1311e+15 6.5269e+14 0\n", @@ -4309,17 +4492,7 @@ "no FV: averaged time 2024-07-26 14:05:06.403545+00:00, NO2 trop col 3.5728e+15, unc 7.2161e+14\n", "no negative: averaged time 2024-07-26 14:05:06.403545+00:00, NO2 trop col 3.5728e+15, unc 7.2161e+14\n", "no Small: averaged time 2024-07-26 14:05:06.403545+00:00, NO2 trop col 3.5728e+15, unc 7.2161e+14\n", - "177648216_TEMPO_NO2_L2_V04_20240726T160452Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.825958 -73.923737 7.7758e+15 1.4141e+15 0\n", - " 4 660 40.805046 -73.930000 5.7338e+15 1.0181e+15 0\n", - " 5 659 40.822628 -73.986183 2.8270e+15 8.7338e+14 0\n", - " 5 660 40.802082 -73.992195 6.9613e+15 1.4435e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-26 16:05:06.060812+00:00, NO2 trop col 4.9615e+15, unc 1.0291e+15\n", - "no negative: averaged time 2024-07-26 16:05:06.060812+00:00, NO2 trop col 4.9615e+15, unc 1.0291e+15\n", - "no Small: averaged time 2024-07-26 16:05:06.060812+00:00, NO2 trop col 4.9615e+15, unc 1.0291e+15\n", - "177648215_TEMPO_NO2_L2_V04_20240726T150452Z_S007G03_subsetted.nc\n", + "224527401_TEMPO_NO2_L2_V04_20240726T150452Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.824009 -73.946014 7.1620e+15 1.5670e+15 0\n", " 4 660 40.802917 -73.952377 6.4340e+15 1.3670e+15 0\n", @@ -4329,17 +4502,17 @@ "no FV: averaged time 2024-07-26 15:05:04.975464+00:00, NO2 trop col 6.8220e+15, unc 1.4746e+15\n", "no negative: averaged time 2024-07-26 15:05:04.975464+00:00, NO2 trop col 6.8220e+15, unc 1.4746e+15\n", "no Small: averaged time 2024-07-26 15:05:04.975464+00:00, NO2 trop col 6.8220e+15, unc 1.4746e+15\n", - "177648211_TEMPO_NO2_L2_V04_20240726T120434Z_S003G03_subsetted.nc\n", + "224527402_TEMPO_NO2_L2_V04_20240726T160452Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.822670 -73.928566 3.8068e+15 1.0583e+15 0\n", - " 5 660 40.801662 -73.934898 4.6104e+15 1.1896e+15 0\n", - " 6 659 40.819984 -73.991356 6.0748e+15 1.3048e+15 0\n", - " 6 660 40.799038 -73.997612 4.3184e+15 1.1110e+15 0\n", + " 4 659 40.825958 -73.923737 7.7758e+15 1.4141e+15 0\n", + " 4 660 40.805046 -73.930000 5.7338e+15 1.0181e+15 0\n", + " 5 659 40.822628 -73.986183 2.8270e+15 8.7338e+14 0\n", + " 5 660 40.802082 -73.992195 6.9613e+15 1.4435e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-26 12:04:50.861206+00:00, NO2 trop col 4.7774e+15, unc 1.1774e+15\n", - "no negative: averaged time 2024-07-26 12:04:50.861206+00:00, NO2 trop col 4.7774e+15, unc 1.1774e+15\n", - "no Small: averaged time 2024-07-26 12:04:50.861206+00:00, NO2 trop col 4.7774e+15, unc 1.1774e+15\n", - "177648217_TEMPO_NO2_L2_V04_20240726T170452Z_S009G03_subsetted.nc\n", + "no FV: averaged time 2024-07-26 16:05:06.060812+00:00, NO2 trop col 4.9615e+15, unc 1.0291e+15\n", + "no negative: averaged time 2024-07-26 16:05:06.060812+00:00, NO2 trop col 4.9615e+15, unc 1.0291e+15\n", + "no Small: averaged time 2024-07-26 16:05:06.060812+00:00, NO2 trop col 4.9615e+15, unc 1.0291e+15\n", + "224527403_TEMPO_NO2_L2_V04_20240726T170452Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 660 40.823402 -73.896141 4.5274e+15 1.0933e+15 0\n", " 4 661 40.802517 -73.902405 6.7595e+15 1.3919e+15 0\n", @@ -4349,17 +4522,7 @@ "no FV: averaged time 2024-07-26 17:05:07.473488+00:00, NO2 trop col 5.4717e+15, unc 1.6666e+15\n", "no negative: averaged time 2024-07-26 17:05:07.473488+00:00, NO2 trop col 5.4717e+15, unc 1.6666e+15\n", "no Small: averaged time 2024-07-26 17:05:07.473488+00:00, NO2 trop col 5.4717e+15, unc 1.6666e+15\n", - "177648219_TEMPO_NO2_L2_V04_20240726T190452Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.825981 -73.898598 4.7325e+15 1.0151e+15 0\n", - " 4 660 40.805031 -73.904884 5.4549e+15 1.0062e+15 0\n", - " 5 659 40.823387 -73.960236 5.4452e+15 1.2202e+15 0\n", - " 5 660 40.802204 -73.966652 5.1613e+15 9.3796e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-26 19:05:07.316005+00:00, NO2 trop col 5.3880e+15, unc 1.1185e+15\n", - "no negative: averaged time 2024-07-26 19:05:07.316005+00:00, NO2 trop col 5.3880e+15, unc 1.1185e+15\n", - "no Small: averaged time 2024-07-26 19:05:07.316005+00:00, NO2 trop col 5.3880e+15, unc 1.1185e+15\n", - "177648218_TEMPO_NO2_L2_V04_20240726T180452Z_S010G03_subsetted.nc\n", + "224527404_TEMPO_NO2_L2_V04_20240726T180452Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.833939 -73.917763 4.5227e+15 9.7949e+14 0\n", " 4 660 40.813057 -73.924011 4.1196e+15 9.9471e+14 0\n", @@ -4369,17 +4532,17 @@ "no FV: averaged time 2024-07-26 18:05:06.242436+00:00, NO2 trop col 4.1933e+15, unc 1.1707e+15\n", "no negative: averaged time 2024-07-26 18:05:06.242436+00:00, NO2 trop col 4.1933e+15, unc 1.1707e+15\n", "no Small: averaged time 2024-07-26 18:05:06.242436+00:00, NO2 trop col 4.1933e+15, unc 1.1707e+15\n", - "177648221_TEMPO_NO2_L2_V04_20240726T210452Z_S013G03_subsetted.nc\n", + "224527405_TEMPO_NO2_L2_V04_20240726T190452Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.823608 -73.888962 4.1459e+15 1.3097e+15 0\n", - " 4 660 40.802723 -73.895218 3.3549e+15 1.4323e+15 0\n", - " 5 659 40.821716 -73.950180 5.4867e+15 1.3567e+15 0\n", - " 5 660 40.800602 -73.956558 4.9103e+15 1.1187e+15 0\n", + " 4 659 40.825981 -73.898598 4.7325e+15 1.0151e+15 0\n", + " 4 660 40.805031 -73.904884 5.4549e+15 1.0062e+15 0\n", + " 5 659 40.823387 -73.960236 5.4452e+15 1.2202e+15 0\n", + " 5 660 40.802204 -73.966652 5.1613e+15 9.3796e+14 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-26 21:05:07.840490+00:00, NO2 trop col 5.2685e+15, unc 1.2921e+15\n", - "no negative: averaged time 2024-07-26 21:05:07.840490+00:00, NO2 trop col 5.2685e+15, unc 1.2921e+15\n", - "no Small: averaged time 2024-07-26 21:05:07.840490+00:00, NO2 trop col 5.2685e+15, unc 1.2921e+15\n", - "177648220_TEMPO_NO2_L2_V04_20240726T200452Z_S012G03_subsetted.nc\n", + "no FV: averaged time 2024-07-26 19:05:07.316005+00:00, NO2 trop col 5.3880e+15, unc 1.1185e+15\n", + "no negative: averaged time 2024-07-26 19:05:07.316005+00:00, NO2 trop col 5.3880e+15, unc 1.1185e+15\n", + "no Small: averaged time 2024-07-26 19:05:07.316005+00:00, NO2 trop col 5.3880e+15, unc 1.1185e+15\n", + "224527406_TEMPO_NO2_L2_V04_20240726T200452Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.815952 -73.943993 4.3414e+15 1.5259e+15 0\n", " 5 661 40.795155 -73.950180 8.2590e+15 1.2383e+15 0\n", @@ -4389,7 +4552,17 @@ "no FV: averaged time 2024-07-26 20:05:08.218777+00:00, NO2 trop col 4.5162e+15, unc 1.5618e+15\n", "no negative: averaged time 2024-07-26 20:05:08.218777+00:00, NO2 trop col 4.5162e+15, unc 1.5618e+15\n", "no Small: averaged time 2024-07-26 20:05:08.218777+00:00, NO2 trop col 4.5162e+15, unc 1.5618e+15\n", - "177648222_TEMPO_NO2_L2_V04_20240726T220452Z_S014G03_subsetted.nc\n", + "224527407_TEMPO_NO2_L2_V04_20240726T210452Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 4 659 40.823608 -73.888962 4.1459e+15 1.3097e+15 0\n", + " 4 660 40.802723 -73.895218 3.3549e+15 1.4323e+15 0\n", + " 5 659 40.821716 -73.950180 5.4867e+15 1.3567e+15 0\n", + " 5 660 40.800602 -73.956558 4.9103e+15 1.1187e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-26 21:05:07.840490+00:00, NO2 trop col 5.2685e+15, unc 1.2921e+15\n", + "no negative: averaged time 2024-07-26 21:05:07.840490+00:00, NO2 trop col 5.2685e+15, unc 1.2921e+15\n", + "no Small: averaged time 2024-07-26 21:05:07.840490+00:00, NO2 trop col 5.2685e+15, unc 1.2921e+15\n", + "224527408_TEMPO_NO2_L2_V04_20240726T220452Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.833595 -73.916870 5.5599e+15 1.5750e+15 0\n", " 5 660 40.812714 -73.923119 5.1370e+15 3.2256e+15 0\n", @@ -4399,7 +4572,7 @@ "no FV: averaged time 2024-07-26 22:05:09.319742+00:00, NO2 trop col 5.7352e+15, unc 3.6703e+15\n", "no negative: averaged time 2024-07-26 22:05:09.319742+00:00, NO2 trop col 5.7352e+15, unc 3.6703e+15\n", "no Small: averaged time 2024-07-26 22:05:09.319742+00:00, NO2 trop col 5.7352e+15, unc 3.6703e+15\n", - "jobID = 0f7721e4-4145-4876-a486-6c54d5270102\n" + "jobID = 526120de-d485-4a1d-961f-b3bafd52d02f\n" ] }, { @@ -4413,30 +4586,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177648357_TEMPO_NO2_L2_V04_20240727T104439Z_S001G03_subsetted.nc\n", - "./177648358_TEMPO_NO2_L2_V04_20240727T112444Z_S002G03_subsetted.nc\n", - "./177648359_TEMPO_NO2_L2_V04_20240727T120449Z_S003G03_subsetted.nc\n", - "./177648360_TEMPO_NO2_L2_V04_20240727T124454Z_S004G03_subsetted.nc\n", - "./177648363_TEMPO_NO2_L2_V04_20240727T150313Z_S007G03_subsetted.nc\n", - "./177648361_TEMPO_NO2_L2_V04_20240727T132459Z_S005G03_subsetted.nc\n", - "./177648362_TEMPO_NO2_L2_V04_20240727T140507Z_S006G03_subsetted.nc\n", - "./177648364_TEMPO_NO2_L2_V04_20240727T180507Z_S009G03_subsetted.nc\n", - "./177648365_TEMPO_NO2_L2_V04_20240727T190507Z_S010G03_subsetted.nc\n", - "./177648366_TEMPO_NO2_L2_V04_20240727T200507Z_S011G03_subsetted.nc\n", - "./177648368_TEMPO_NO2_L2_V04_20240727T220507Z_S013G03_subsetted.nc\n", - "./177648367_TEMPO_NO2_L2_V04_20240727T210507Z_S012G03_subsetted.nc\n", + "./224527717_TEMPO_NO2_L2_V04_20240727T112444Z_S002G03_subsetted.nc\n", + "./224527716_TEMPO_NO2_L2_V04_20240727T104439Z_S001G03_subsetted.nc\n", + "./224527718_TEMPO_NO2_L2_V04_20240727T120449Z_S003G03_subsetted.nc\n", + "./224527719_TEMPO_NO2_L2_V04_20240727T124454Z_S004G03_subsetted.nc\n", + "./224527720_TEMPO_NO2_L2_V04_20240727T132459Z_S005G03_subsetted.nc\n", + "./224527721_TEMPO_NO2_L2_V04_20240727T140507Z_S006G03_subsetted.nc\n", + "./224527722_TEMPO_NO2_L2_V04_20240727T150313Z_S007G03_subsetted.nc\n", + "./224527723_TEMPO_NO2_L2_V04_20240727T180507Z_S009G03_subsetted.nc\n", + "./224527724_TEMPO_NO2_L2_V04_20240727T190507Z_S010G03_subsetted.nc\n", + "./224527725_TEMPO_NO2_L2_V04_20240727T200507Z_S011G03_subsetted.nc\n", + "./224527726_TEMPO_NO2_L2_V04_20240727T210507Z_S012G03_subsetted.nc\n", + "./224527727_TEMPO_NO2_L2_V04_20240727T220507Z_S013G03_subsetted.nc\n", "Number of result files: 12\n", - "177648357_TEMPO_NO2_L2_V04_20240727T104439Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 660 40.818115 -73.887901 4.8535e+15 1.4763e+15 1\n", - " 4 661 40.797180 -73.894188 1.0064e+16 2.3130e+15 1\n", - " 5 660 40.816090 -73.951698 9.7333e+15 2.8709e+15 1\n", - " 5 661 40.794949 -73.958084 6.3666e+15 2.1704e+15 1\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177648358_TEMPO_NO2_L2_V04_20240727T112444Z_S002G03_subsetted.nc\n", + "224527717_TEMPO_NO2_L2_V04_20240727T112444Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.832489 -73.903320 6.4275e+15 9.4765e+14 0\n", " 5 660 40.811394 -73.909683 6.8905e+15 1.3107e+15 0\n", @@ -4446,7 +4609,17 @@ "no FV: averaged time 2024-07-27 11:25:01.940806+00:00, NO2 trop col 7.9660e+15, unc 1.2975e+15\n", "no negative: averaged time 2024-07-27 11:25:01.940806+00:00, NO2 trop col 7.9660e+15, unc 1.2975e+15\n", "no Small: averaged time 2024-07-27 11:25:01.940806+00:00, NO2 trop col 7.9660e+15, unc 1.2975e+15\n", - "177648359_TEMPO_NO2_L2_V04_20240727T120449Z_S003G03_subsetted.nc\n", + "224527716_TEMPO_NO2_L2_V04_20240727T104439Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 4 660 40.818115 -73.887901 4.8535e+15 1.4763e+15 1\n", + " 4 661 40.797180 -73.894188 1.0064e+16 2.3130e+15 1\n", + " 5 660 40.816090 -73.951698 9.7333e+15 2.8709e+15 1\n", + " 5 661 40.794949 -73.958084 6.3666e+15 2.1704e+15 1\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224527718_TEMPO_NO2_L2_V04_20240727T120449Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.819740 -73.943970 8.5552e+15 1.0964e+15 0\n", " 5 660 40.798859 -73.950203 5.4140e+15 6.3641e+14 0\n", @@ -4456,7 +4629,7 @@ "no FV: averaged time 2024-07-27 12:05:05.145534+00:00, NO2 trop col 7.7977e+15, unc 9.8862e+14\n", "no negative: averaged time 2024-07-27 12:05:05.145534+00:00, NO2 trop col 7.7977e+15, unc 9.8862e+14\n", "no Small: averaged time 2024-07-27 12:05:05.145534+00:00, NO2 trop col 7.7977e+15, unc 9.8862e+14\n", - "177648360_TEMPO_NO2_L2_V04_20240727T124454Z_S004G03_subsetted.nc\n", + "224527719_TEMPO_NO2_L2_V04_20240727T124454Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.816830 -73.932037 9.8647e+15 1.5555e+15 0\n", " 5 661 40.795780 -73.938377 1.2205e+16 2.1970e+15 0\n", @@ -4466,17 +4639,7 @@ "no FV: averaged time 2024-07-27 12:45:10.779568+00:00, NO2 trop col 1.0540e+16, unc 1.8836e+15\n", "no negative: averaged time 2024-07-27 12:45:10.779568+00:00, NO2 trop col 1.0540e+16, unc 1.8836e+15\n", "no Small: averaged time 2024-07-27 12:45:10.779568+00:00, NO2 trop col 1.0540e+16, unc 1.8836e+15\n", - "177648363_TEMPO_NO2_L2_V04_20240727T150313Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 10 659 40.820866 -73.942146 9.9736e+15 1.7822e+15 0\n", - " 10 660 40.799973 -73.948387 8.1615e+15 8.7244e+14 0\n", - " 11 659 40.818153 -74.004608 5.5429e+15 8.9133e+14 0\n", - " 11 660 40.796543 -74.011269 4.4950e+15 9.3804e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-27 15:05:21.217731+00:00, NO2 trop col 9.0355e+15, unc 1.4560e+15\n", - "no negative: averaged time 2024-07-27 15:05:21.217731+00:00, NO2 trop col 9.0355e+15, unc 1.4560e+15\n", - "no Small: averaged time 2024-07-27 15:05:21.217731+00:00, NO2 trop col 9.0355e+15, unc 1.4560e+15\n", - "177648361_TEMPO_NO2_L2_V04_20240727T132459Z_S005G03_subsetted.nc\n", + "224527720_TEMPO_NO2_L2_V04_20240727T132459Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.837360 -73.914619 7.6709e+15 2.7841e+15 0\n", " 5 660 40.816322 -73.920975 7.8648e+15 1.4806e+15 0\n", @@ -4486,7 +4649,7 @@ "no FV: averaged time 2024-07-27 13:25:16.344723+00:00, NO2 trop col 7.7098e+15, unc 1.4032e+15\n", "no negative: averaged time 2024-07-27 13:25:16.344723+00:00, NO2 trop col 7.7098e+15, unc 1.4032e+15\n", "no Small: averaged time 2024-07-27 13:25:16.344723+00:00, NO2 trop col 7.7098e+15, unc 1.4032e+15\n", - "177648362_TEMPO_NO2_L2_V04_20240727T140507Z_S006G03_subsetted.nc\n", + "224527721_TEMPO_NO2_L2_V04_20240727T140507Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.834091 -73.929710 5.3190e+15 7.5475e+14 0\n", " 4 660 40.813274 -73.935913 7.0660e+15 6.8574e+14 0\n", @@ -4496,7 +4659,17 @@ "no FV: averaged time 2024-07-27 14:05:20.655238+00:00, NO2 trop col 7.0844e+15, unc 1.0227e+15\n", "no negative: averaged time 2024-07-27 14:05:20.655238+00:00, NO2 trop col 7.0844e+15, unc 1.0227e+15\n", "no Small: averaged time 2024-07-27 14:05:20.655238+00:00, NO2 trop col 7.0844e+15, unc 1.0227e+15\n", - "177648364_TEMPO_NO2_L2_V04_20240727T180507Z_S009G03_subsetted.nc\n", + "224527722_TEMPO_NO2_L2_V04_20240727T150313Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 10 659 40.820866 -73.942146 9.9736e+15 1.7822e+15 0\n", + " 10 660 40.799973 -73.948387 8.1615e+15 8.7244e+14 0\n", + " 11 659 40.818153 -74.004608 5.5429e+15 8.9133e+14 0\n", + " 11 660 40.796543 -74.011269 4.4950e+15 9.3804e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-27 15:05:21.217731+00:00, NO2 trop col 9.0355e+15, unc 1.4560e+15\n", + "no negative: averaged time 2024-07-27 15:05:21.217731+00:00, NO2 trop col 9.0355e+15, unc 1.4560e+15\n", + "no Small: averaged time 2024-07-27 15:05:21.217731+00:00, NO2 trop col 9.0355e+15, unc 1.4560e+15\n", + "224527723_TEMPO_NO2_L2_V04_20240727T180507Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.820370 -73.903130 9.2009e+15 2.9104e+15 0\n", " 4 660 40.799408 -73.909439 6.4330e+15 1.4878e+15 0\n", @@ -4506,7 +4679,7 @@ "no FV: averaged time 2024-07-27 18:05:22.175072+00:00, NO2 trop col 7.7968e+15, unc 3.1277e+15\n", "no negative: averaged time 2024-07-27 18:05:22.175072+00:00, NO2 trop col 7.7968e+15, unc 3.1277e+15\n", "no Small: averaged time 2024-07-27 18:05:22.175072+00:00, NO2 trop col 7.7968e+15, unc 3.1277e+15\n", - "177648365_TEMPO_NO2_L2_V04_20240727T190507Z_S010G03_subsetted.nc\n", + "224527724_TEMPO_NO2_L2_V04_20240727T190507Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.823330 -73.897362 4.7055e+15 6.2679e+15 0\n", " 4 660 40.802422 -73.903641 7.7460e+15 1.5004e+15 0\n", @@ -4516,7 +4689,7 @@ "no FV: averaged time 2024-07-27 19:05:22.410976+00:00, NO2 trop col 7.9924e+15, unc 2.1646e+15\n", "no negative: averaged time 2024-07-27 19:05:22.410976+00:00, NO2 trop col 7.9924e+15, unc 2.1646e+15\n", "no Small: averaged time 2024-07-27 19:05:22.410976+00:00, NO2 trop col 7.9924e+15, unc 2.1646e+15\n", - "177648366_TEMPO_NO2_L2_V04_20240727T200507Z_S011G03_subsetted.nc\n", + "224527725_TEMPO_NO2_L2_V04_20240727T200507Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.823730 -73.944183 1.4156e+16 8.9010e+15 0\n", " 5 660 40.802731 -73.950493 1.1950e+16 4.1738e+15 0\n", @@ -4526,17 +4699,7 @@ "no FV: averaged time 2024-07-27 20:05:23.113141+00:00, NO2 trop col 1.2716e+16, unc 6.7102e+15\n", "no negative: averaged time 2024-07-27 20:05:23.113141+00:00, NO2 trop col 1.2716e+16, unc 6.7102e+15\n", "no Small: averaged time 2024-07-27 20:05:23.113141+00:00, NO2 trop col 1.2716e+16, unc 6.7102e+15\n", - "177648368_TEMPO_NO2_L2_V04_20240727T220507Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.834286 -73.930397 1.0126e+16 1.4485e+15 0\n", - " 5 660 40.813507 -73.936569 1.4047e+16 2.3200e+15 0\n", - " 6 659 40.832249 -73.992432 6.8956e+15 1.3491e+15 0\n", - " 6 660 40.811081 -73.998825 1.0517e+16 2.6324e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-27 22:05:23.638729+00:00, NO2 trop col 1.2812e+16, unc 2.2502e+15\n", - "no negative: averaged time 2024-07-27 22:05:23.638729+00:00, NO2 trop col 1.2812e+16, unc 2.2502e+15\n", - "no Small: averaged time 2024-07-27 22:05:23.638729+00:00, NO2 trop col 1.2812e+16, unc 2.2502e+15\n", - "177648367_TEMPO_NO2_L2_V04_20240727T210507Z_S012G03_subsetted.nc\n", + "224527726_TEMPO_NO2_L2_V04_20240727T210507Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.817959 -73.891571 8.4460e+15 1.7211e+15 0\n", " 4 660 40.797081 -73.897827 1.2503e+16 1.9223e+15 0\n", @@ -4546,7 +4709,17 @@ "no FV: averaged time 2024-07-27 21:05:22.800041+00:00, NO2 trop col 1.2815e+16, unc 1.8222e+15\n", "no negative: averaged time 2024-07-27 21:05:22.800041+00:00, NO2 trop col 1.2815e+16, unc 1.8222e+15\n", "no Small: averaged time 2024-07-27 21:05:22.800041+00:00, NO2 trop col 1.2815e+16, unc 1.8222e+15\n", - "jobID = b5552733-6adb-4a49-82b4-194123603d47\n" + "224527727_TEMPO_NO2_L2_V04_20240727T220507Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.834286 -73.930397 1.0126e+16 1.4485e+15 0\n", + " 5 660 40.813507 -73.936569 1.4047e+16 2.3200e+15 0\n", + " 6 659 40.832249 -73.992432 6.8956e+15 1.3491e+15 0\n", + " 6 660 40.811081 -73.998825 1.0517e+16 2.6324e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-27 22:05:23.638729+00:00, NO2 trop col 1.2812e+16, unc 2.2502e+15\n", + "no negative: averaged time 2024-07-27 22:05:23.638729+00:00, NO2 trop col 1.2812e+16, unc 2.2502e+15\n", + "no Small: averaged time 2024-07-27 22:05:23.638729+00:00, NO2 trop col 1.2812e+16, unc 2.2502e+15\n", + "jobID = fa1f7aea-3823-47ed-8593-187d42cb4ad3\n" ] }, { @@ -4560,32 +4733,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177648620_TEMPO_NO2_L2_V04_20240728T112501Z_S002G03_subsetted.nc\n", - "./177648619_TEMPO_NO2_L2_V04_20240728T104456Z_S001G03_subsetted.nc\n", - "./177648621_TEMPO_NO2_L2_V04_20240728T120506Z_S003G03_subsetted.nc\n", - "./177648623_TEMPO_NO2_L2_V04_20240728T132516Z_S005G03_subsetted.nc\n", - "./177648624_TEMPO_NO2_L2_V04_20240728T140524Z_S006G03_subsetted.nc\n", - "./177648622_TEMPO_NO2_L2_V04_20240728T124511Z_S004G03_subsetted.nc\n", - "./177648625_TEMPO_NO2_L2_V04_20240728T150524Z_S007G03_subsetted.nc\n", - "./177648626_TEMPO_NO2_L2_V04_20240728T160524Z_S008G03_subsetted.nc\n", - "./177648627_TEMPO_NO2_L2_V04_20240728T170524Z_S009G03_subsetted.nc\n", - "./177648628_TEMPO_NO2_L2_V04_20240728T180524Z_S010G03_subsetted.nc\n", - "./177648629_TEMPO_NO2_L2_V04_20240728T190524Z_S011G03_subsetted.nc\n", - "./177648631_TEMPO_NO2_L2_V04_20240728T210524Z_S013G03_subsetted.nc\n", - "./177648630_TEMPO_NO2_L2_V04_20240728T200524Z_S012G03_subsetted.nc\n", - "./177648632_TEMPO_NO2_L2_V04_20240728T220524Z_S014G03_subsetted.nc\n", + "./224528052_TEMPO_NO2_L2_V04_20240728T104456Z_S001G03_subsetted.nc\n", + "./224528053_TEMPO_NO2_L2_V04_20240728T112501Z_S002G03_subsetted.nc\n", + "./224528054_TEMPO_NO2_L2_V04_20240728T120506Z_S003G03_subsetted.nc\n", + "./224528055_TEMPO_NO2_L2_V04_20240728T124511Z_S004G03_subsetted.nc\n", + "./224528056_TEMPO_NO2_L2_V04_20240728T132516Z_S005G03_subsetted.nc\n", + "./224528058_TEMPO_NO2_L2_V04_20240728T150524Z_S007G03_subsetted.nc\n", + "./224528057_TEMPO_NO2_L2_V04_20240728T140524Z_S006G03_subsetted.nc\n", + "./224528059_TEMPO_NO2_L2_V04_20240728T160524Z_S008G03_subsetted.nc\n", + "./224528060_TEMPO_NO2_L2_V04_20240728T170524Z_S009G03_subsetted.nc\n", + "./224528061_TEMPO_NO2_L2_V04_20240728T180524Z_S010G03_subsetted.nc\n", + "./224528063_TEMPO_NO2_L2_V04_20240728T200524Z_S012G03_subsetted.nc\n", + "./224528062_TEMPO_NO2_L2_V04_20240728T190524Z_S011G03_subsetted.nc\n", + "./224528064_TEMPO_NO2_L2_V04_20240728T210524Z_S013G03_subsetted.nc\n", + "./224528065_TEMPO_NO2_L2_V04_20240728T220524Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177648620_TEMPO_NO2_L2_V04_20240728T112501Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.831451 -73.931854 8.4966e+15 1.5665e+15 0\n", - " 5 660 40.810562 -73.938095 1.4233e+16 2.1102e+15 0\n", - " 6 659 40.829189 -73.993752 1.1418e+16 2.1932e+15 0\n", - " 6 660 40.807888 -74.000221 5.0867e+15 2.1340e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-28 11:25:17.569714+00:00, NO2 trop col 1.3451e+16, unc 2.1151e+15\n", - "no negative: averaged time 2024-07-28 11:25:17.569714+00:00, NO2 trop col 1.3451e+16, unc 2.1151e+15\n", - "no Small: averaged time 2024-07-28 11:25:17.569714+00:00, NO2 trop col 1.3451e+16, unc 2.1151e+15\n", - "177648619_TEMPO_NO2_L2_V04_20240728T104456Z_S001G03_subsetted.nc\n", + "224528052_TEMPO_NO2_L2_V04_20240728T104456Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.823372 -73.931000 7.5200e+15 1.5667e+15 1\n", " 5 660 40.802357 -73.937309 7.8571e+15 2.8064e+15 1\n", @@ -4595,7 +4758,17 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177648621_TEMPO_NO2_L2_V04_20240728T120506Z_S003G03_subsetted.nc\n", + "224528053_TEMPO_NO2_L2_V04_20240728T112501Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.831451 -73.931854 8.4966e+15 1.5665e+15 0\n", + " 5 660 40.810562 -73.938095 1.4233e+16 2.1102e+15 0\n", + " 6 659 40.829189 -73.993752 1.1418e+16 2.1932e+15 0\n", + " 6 660 40.807888 -74.000221 5.0867e+15 2.1340e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-28 11:25:17.569714+00:00, NO2 trop col 1.3451e+16, unc 2.1151e+15\n", + "no negative: averaged time 2024-07-28 11:25:17.569714+00:00, NO2 trop col 1.3451e+16, unc 2.1151e+15\n", + "no Small: averaged time 2024-07-28 11:25:17.569714+00:00, NO2 trop col 1.3451e+16, unc 2.1151e+15\n", + "224528054_TEMPO_NO2_L2_V04_20240728T120506Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.830524 -73.895630 1.1124e+16 1.6392e+15 0\n", " 4 660 40.809589 -73.901917 1.0556e+16 1.6704e+15 0\n", @@ -4605,27 +4778,7 @@ "no FV: averaged time 2024-07-28 12:05:21.361465+00:00, NO2 trop col 7.6431e+15, unc 1.4931e+15\n", "no negative: averaged time 2024-07-28 12:05:21.361465+00:00, NO2 trop col 7.6431e+15, unc 1.4931e+15\n", "no Small: averaged time 2024-07-28 12:05:21.361465+00:00, NO2 trop col 7.6431e+15, unc 1.4931e+15\n", - "177648623_TEMPO_NO2_L2_V04_20240728T132516Z_S005G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.817406 -73.939575 1.0420e+16 1.4417e+15 0\n", - " 5 661 40.796501 -73.945839 7.9805e+15 1.4650e+15 0\n", - " 6 660 40.814484 -74.001884 6.2009e+15 1.3902e+15 0\n", - " 6 661 40.792965 -74.008507 7.4068e+15 1.2970e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-28 13:25:32.401467+00:00, NO2 trop col 9.5247e+15, unc 1.4349e+15\n", - "no negative: averaged time 2024-07-28 13:25:32.401467+00:00, NO2 trop col 9.5247e+15, unc 1.4349e+15\n", - "no Small: averaged time 2024-07-28 13:25:32.401467+00:00, NO2 trop col 9.5247e+15, unc 1.4349e+15\n", - "177648624_TEMPO_NO2_L2_V04_20240728T140524Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.827831 -73.943199 6.3858e+15 9.6422e+14 0\n", - " 4 660 40.806744 -73.949570 5.1910e+15 8.8069e+14 0\n", - " 5 659 40.825230 -74.005325 7.7166e+15 1.2050e+15 0\n", - " 5 660 40.804119 -74.011688 5.8393e+15 9.2356e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-28 14:05:37.069124+00:00, NO2 trop col 5.7605e+15, unc 9.2897e+14\n", - "no negative: averaged time 2024-07-28 14:05:37.069124+00:00, NO2 trop col 5.7605e+15, unc 9.2897e+14\n", - "no Small: averaged time 2024-07-28 14:05:37.069124+00:00, NO2 trop col 5.7605e+15, unc 9.2897e+14\n", - "177648622_TEMPO_NO2_L2_V04_20240728T124511Z_S004G03_subsetted.nc\n", + "224528055_TEMPO_NO2_L2_V04_20240728T124511Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.833580 -73.930473 7.7562e+15 1.3905e+15 0\n", " 5 661 40.812756 -73.936684 8.3753e+15 1.1908e+15 0\n", @@ -4635,7 +4788,17 @@ "no FV: averaged time 2024-07-28 12:45:27.615227+00:00, NO2 trop col 7.9129e+15, unc 1.2879e+15\n", "no negative: averaged time 2024-07-28 12:45:27.615227+00:00, NO2 trop col 7.9129e+15, unc 1.2879e+15\n", "no Small: averaged time 2024-07-28 12:45:27.615227+00:00, NO2 trop col 7.9129e+15, unc 1.2879e+15\n", - "177648625_TEMPO_NO2_L2_V04_20240728T150524Z_S007G03_subsetted.nc\n", + "224528056_TEMPO_NO2_L2_V04_20240728T132516Z_S005G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 660 40.817406 -73.939575 1.0420e+16 1.4417e+15 0\n", + " 5 661 40.796501 -73.945839 7.9805e+15 1.4650e+15 0\n", + " 6 660 40.814484 -74.001884 6.2009e+15 1.3902e+15 0\n", + " 6 661 40.792965 -74.008507 7.4068e+15 1.2970e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-28 13:25:32.401467+00:00, NO2 trop col 9.5247e+15, unc 1.4349e+15\n", + "no negative: averaged time 2024-07-28 13:25:32.401467+00:00, NO2 trop col 9.5247e+15, unc 1.4349e+15\n", + "no Small: averaged time 2024-07-28 13:25:32.401467+00:00, NO2 trop col 9.5247e+15, unc 1.4349e+15\n", + "224528058_TEMPO_NO2_L2_V04_20240728T150524Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 3 659 40.822258 -73.904900 1.2384e+16 6.8867e+15 0\n", " 3 660 40.801247 -73.911240 5.8454e+15 1.6077e+15 0\n", @@ -4645,7 +4808,17 @@ "no FV: averaged time 2024-07-28 15:05:36.014469+00:00, NO2 trop col 4.2475e+15, unc 1.1397e+15\n", "no negative: averaged time 2024-07-28 15:05:36.014469+00:00, NO2 trop col 4.2475e+15, unc 1.1397e+15\n", "no Small: averaged time 2024-07-28 15:05:36.014469+00:00, NO2 trop col 4.2475e+15, unc 1.1397e+15\n", - "177648626_TEMPO_NO2_L2_V04_20240728T160524Z_S008G03_subsetted.nc\n", + "224528057_TEMPO_NO2_L2_V04_20240728T140524Z_S006G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 4 659 40.827831 -73.943199 6.3858e+15 9.6422e+14 0\n", + " 4 660 40.806744 -73.949570 5.1910e+15 8.8069e+14 0\n", + " 5 659 40.825230 -74.005325 7.7166e+15 1.2050e+15 0\n", + " 5 660 40.804119 -74.011688 5.8393e+15 9.2356e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-28 14:05:37.069124+00:00, NO2 trop col 5.7605e+15, unc 9.2897e+14\n", + "no negative: averaged time 2024-07-28 14:05:37.069124+00:00, NO2 trop col 5.7605e+15, unc 9.2897e+14\n", + "no Small: averaged time 2024-07-28 14:05:37.069124+00:00, NO2 trop col 5.7605e+15, unc 9.2897e+14\n", + "224528059_TEMPO_NO2_L2_V04_20240728T160524Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.823685 -73.945427 2.7869e+15 8.6724e+15 0\n", " 4 660 40.802643 -73.951767 9.8589e+15 4.5201e+15 0\n", @@ -4655,7 +4828,7 @@ "no FV: averaged time 2024-07-28 16:05:37.014080+00:00, NO2 trop col 5.9802e+15, unc 6.8958e+15\n", "no negative: averaged time 2024-07-28 16:05:37.014080+00:00, NO2 trop col 5.9802e+15, unc 6.8958e+15\n", "no Small: averaged time 2024-07-28 16:05:38.909356+00:00, NO2 trop col 1.0731e+16, unc 4.2984e+15\n", - "177648627_TEMPO_NO2_L2_V04_20240728T170524Z_S009G03_subsetted.nc\n", + "224528060_TEMPO_NO2_L2_V04_20240728T170524Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.829018 -73.915108 1.8875e+16 1.8391e+16 0\n", " 4 660 40.808105 -73.921379 7.7753e+15 7.0526e+15 0\n", @@ -4665,7 +4838,7 @@ "no FV: averaged time 2024-07-28 17:05:38.463771+00:00, NO2 trop col 7.2562e+15, unc 7.1794e+15\n", "no negative: averaged time 2024-07-28 17:05:38.463771+00:00, NO2 trop col 7.2562e+15, unc 7.1794e+15\n", "no Small: averaged time 2024-07-28 17:05:36.882166+00:00, NO2 trop col 1.3325e+16, unc 1.2722e+16\n", - "177648628_TEMPO_NO2_L2_V04_20240728T180524Z_S010G03_subsetted.nc\n", + "224528061_TEMPO_NO2_L2_V04_20240728T180524Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.825729 -73.936501 4.1287e+15 4.5009e+15 0\n", " 4 660 40.804893 -73.942719 4.6028e+15 1.5519e+15 0\n", @@ -4675,7 +4848,17 @@ "no FV: averaged time 2024-07-28 18:05:37.426508+00:00, NO2 trop col 4.5395e+15, unc 2.7962e+15\n", "no negative: averaged time 2024-07-28 18:05:37.426508+00:00, NO2 trop col 4.5395e+15, unc 2.7962e+15\n", "no Small: averaged time 2024-07-28 18:05:38.903666+00:00, NO2 trop col 5.7653e+15, unc 2.1600e+15\n", - "177648629_TEMPO_NO2_L2_V04_20240728T190524Z_S011G03_subsetted.nc\n", + "224528063_TEMPO_NO2_L2_V04_20240728T200524Z_S012G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 4 659 40.827847 -73.897919 5.7199e+15 1.4913e+15 0\n", + " 4 660 40.806904 -73.904213 6.0108e+15 1.8746e+15 0\n", + " 5 659 40.825695 -73.959152 6.6586e+15 3.0324e+15 0\n", + " 5 660 40.804516 -73.965569 1.0891e+16 1.5981e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-28 20:05:39.338697+00:00, NO2 trop col 7.8788e+15, unc 2.3508e+15\n", + "no negative: averaged time 2024-07-28 20:05:39.338697+00:00, NO2 trop col 7.8788e+15, unc 2.3508e+15\n", + "no Small: averaged time 2024-07-28 20:05:39.338697+00:00, NO2 trop col 7.8788e+15, unc 2.3508e+15\n", + "224528062_TEMPO_NO2_L2_V04_20240728T190524Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.824699 -73.922752 7.7544e+15 4.1252e+15 0\n", " 4 660 40.803837 -73.928986 9.0551e+15 2.7417e+15 0\n", @@ -4685,7 +4868,7 @@ "no FV: averaged time 2024-07-28 19:05:38.127994+00:00, NO2 trop col 8.1488e+15, unc 3.2834e+15\n", "no negative: averaged time 2024-07-28 19:05:38.127994+00:00, NO2 trop col 8.1488e+15, unc 3.2834e+15\n", "no Small: averaged time 2024-07-28 19:05:38.127994+00:00, NO2 trop col 8.1488e+15, unc 3.2834e+15\n", - "177648631_TEMPO_NO2_L2_V04_20240728T210524Z_S013G03_subsetted.nc\n", + "224528064_TEMPO_NO2_L2_V04_20240728T210524Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.830032 -73.908310 1.1481e+16 3.9730e+15 0\n", " 4 660 40.809032 -73.914627 9.6551e+15 4.6109e+15 0\n", @@ -4695,17 +4878,7 @@ "no FV: averaged time 2024-07-28 21:05:38.751495+00:00, NO2 trop col 1.2448e+16, unc 4.3719e+15\n", "no negative: averaged time 2024-07-28 21:05:38.751495+00:00, NO2 trop col 1.2448e+16, unc 4.3719e+15\n", "no Small: averaged time 2024-07-28 21:05:38.751495+00:00, NO2 trop col 1.2448e+16, unc 4.3719e+15\n", - "177648630_TEMPO_NO2_L2_V04_20240728T200524Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.827847 -73.897919 5.7199e+15 1.4913e+15 0\n", - " 4 660 40.806904 -73.904213 6.0108e+15 1.8746e+15 0\n", - " 5 659 40.825695 -73.959152 6.6586e+15 3.0324e+15 0\n", - " 5 660 40.804516 -73.965569 1.0891e+16 1.5981e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-28 20:05:39.338697+00:00, NO2 trop col 7.8788e+15, unc 2.3508e+15\n", - "no negative: averaged time 2024-07-28 20:05:39.338697+00:00, NO2 trop col 7.8788e+15, unc 2.3508e+15\n", - "no Small: averaged time 2024-07-28 20:05:39.338697+00:00, NO2 trop col 7.8788e+15, unc 2.3508e+15\n", - "177648632_TEMPO_NO2_L2_V04_20240728T220524Z_S014G03_subsetted.nc\n", + "224528065_TEMPO_NO2_L2_V04_20240728T220524Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.816967 -73.943459 2.0367e+15 5.0276e+15 0\n", " 5 661 40.796146 -73.949654 1.0010e+16 4.8661e+15 0\n", @@ -4715,7 +4888,7 @@ "no FV: averaged time 2024-07-28 22:05:40.256034+00:00, NO2 trop col 3.6544e+15, unc 5.0955e+15\n", "no negative: averaged time 2024-07-28 22:05:40.256034+00:00, NO2 trop col 3.6544e+15, unc 5.0955e+15\n", "no Small: averaged time 2024-07-28 22:05:41.444623+00:00, NO2 trop col 1.0946e+16, unc 5.3123e+15\n", - "jobID = ed79203a-66d9-481b-b4e1-7e91b41224ed\n" + "jobID = 865182c1-9b05-46e6-8792-57e60172dac2\n" ] }, { @@ -4729,22 +4902,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177648788_TEMPO_NO2_L2_V04_20240729T112517Z_S002G03_subsetted.nc\n", - "./177648787_TEMPO_NO2_L2_V04_20240729T104512Z_S001G03_subsetted.nc\n", - "./177648789_TEMPO_NO2_L2_V04_20240729T120522Z_S003G03_subsetted.nc\n", - "./177648790_TEMPO_NO2_L2_V04_20240729T124527Z_S004G03_subsetted.nc\n", - "./177648791_TEMPO_NO2_L2_V04_20240729T132532Z_S005G03_subsetted.nc\n", - "./177648793_TEMPO_NO2_L2_V04_20240729T150540Z_S007G03_subsetted.nc\n", - "./177648792_TEMPO_NO2_L2_V04_20240729T140540Z_S006G03_subsetted.nc\n", - "./177648794_TEMPO_NO2_L2_V04_20240729T160540Z_S008G03_subsetted.nc\n", - "./177648796_TEMPO_NO2_L2_V04_20240729T180540Z_S010G03_subsetted.nc\n", - "./177648795_TEMPO_NO2_L2_V04_20240729T170540Z_S009G03_subsetted.nc\n", - "./177648797_TEMPO_NO2_L2_V04_20240729T190540Z_S011G03_subsetted.nc\n", - "./177648798_TEMPO_NO2_L2_V04_20240729T200540Z_S012G03_subsetted.nc\n", - "./177648799_TEMPO_NO2_L2_V04_20240729T210540Z_S013G03_subsetted.nc\n", - "./177648800_TEMPO_NO2_L2_V04_20240729T220540Z_S014G03_subsetted.nc\n", + "./224528339_TEMPO_NO2_L2_V04_20240729T112517Z_S002G03_subsetted.nc\n", + "./224528338_TEMPO_NO2_L2_V04_20240729T104512Z_S001G03_subsetted.nc\n", + "./224528340_TEMPO_NO2_L2_V04_20240729T120522Z_S003G03_subsetted.nc\n", + "./224528341_TEMPO_NO2_L2_V04_20240729T124527Z_S004G03_subsetted.nc\n", + "./224528342_TEMPO_NO2_L2_V04_20240729T132532Z_S005G03_subsetted.nc\n", + "./224528344_TEMPO_NO2_L2_V04_20240729T150540Z_S007G03_subsetted.nc\n", + "./224528343_TEMPO_NO2_L2_V04_20240729T140540Z_S006G03_subsetted.nc\n", + "./224528347_TEMPO_NO2_L2_V04_20240729T180540Z_S010G03_subsetted.nc\n", + "./224528346_TEMPO_NO2_L2_V04_20240729T170540Z_S009G03_subsetted.nc\n", + "./224528345_TEMPO_NO2_L2_V04_20240729T160540Z_S008G03_subsetted.nc\n", + "./224528348_TEMPO_NO2_L2_V04_20240729T190540Z_S011G03_subsetted.nc\n", + "./224528349_TEMPO_NO2_L2_V04_20240729T200540Z_S012G03_subsetted.nc\n", + "./224528351_TEMPO_NO2_L2_V04_20240729T220540Z_S014G03_subsetted.nc\n", + "./224528350_TEMPO_NO2_L2_V04_20240729T210540Z_S013G03_subsetted.nc\n", "Number of result files: 14\n", - "177648788_TEMPO_NO2_L2_V04_20240729T112517Z_S002G03_subsetted.nc\n", + "224528339_TEMPO_NO2_L2_V04_20240729T112517Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 660 40.818707 -73.903053 5.6653e+15 3.2775e+15 0\n", " 4 661 40.797741 -73.909340 7.0582e+15 2.3100e+15 0\n", @@ -4754,7 +4927,7 @@ "no FV: averaged time 2024-07-29 11:25:32.176440+00:00, NO2 trop col 7.6384e+15, unc 3.4338e+15\n", "no negative: averaged time 2024-07-29 11:25:32.176440+00:00, NO2 trop col 7.6384e+15, unc 3.4338e+15\n", "no Small: averaged time 2024-07-29 11:25:32.176440+00:00, NO2 trop col 7.6384e+15, unc 3.4338e+15\n", - "177648787_TEMPO_NO2_L2_V04_20240729T104512Z_S001G03_subsetted.nc\n", + "224528338_TEMPO_NO2_L2_V04_20240729T104512Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.824905 -73.941353 -7.6236e+14 6.2253e+15 1\n", " 5 660 40.803974 -73.947617 2.2121e+15 3.8458e+15 1\n", @@ -4764,7 +4937,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177648789_TEMPO_NO2_L2_V04_20240729T120522Z_S003G03_subsetted.nc\n", + "224528340_TEMPO_NO2_L2_V04_20240729T120522Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.836742 -73.897331 7.3044e+15 2.1789e+15 0\n", " 4 660 40.815689 -73.903694 3.1727e+15 8.6653e+15 0\n", @@ -4774,7 +4947,7 @@ "no FV: averaged time 2024-07-29 12:05:37.223912+00:00, NO2 trop col 4.4277e+15, unc 4.5832e+15\n", "no negative: averaged time 2024-07-29 12:05:37.223912+00:00, NO2 trop col 4.4277e+15, unc 4.5832e+15\n", "no Small: averaged time 2024-07-29 12:05:36.879384+00:00, NO2 trop col 6.6075e+15, unc 2.7794e+15\n", - "177648790_TEMPO_NO2_L2_V04_20240729T124527Z_S004G03_subsetted.nc\n", + "224528341_TEMPO_NO2_L2_V04_20240729T124527Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 660 40.818016 -73.890358 9.5178e+15 2.1643e+15 0\n", " 4 661 40.797115 -73.896629 8.2077e+15 4.1375e+15 0\n", @@ -4784,7 +4957,7 @@ "no FV: averaged time 2024-07-29 12:45:42.797469+00:00, NO2 trop col 1.7029e+15, unc 7.6684e+15\n", "no negative: averaged time 2024-07-29 12:45:42.797469+00:00, NO2 trop col 1.7029e+15, unc 7.6684e+15\n", "no Small: averaged time 2024-07-29 12:45:39.860079+00:00, NO2 trop col 8.8628e+15, unc 3.1509e+15\n", - "177648791_TEMPO_NO2_L2_V04_20240729T132532Z_S005G03_subsetted.nc\n", + "224528342_TEMPO_NO2_L2_V04_20240729T132532Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.830341 -73.916359 1.0945e+16 5.8335e+15 0\n", " 4 660 40.809422 -73.922630 1.3713e+16 6.7026e+15 0\n", @@ -4794,7 +4967,7 @@ "no FV: averaged time 2024-07-29 13:25:46.323199+00:00, NO2 trop col 1.2246e+16, unc 5.6344e+15\n", "no negative: averaged time 2024-07-29 13:25:46.323199+00:00, NO2 trop col 1.2246e+16, unc 5.6344e+15\n", "no Small: averaged time 2024-07-29 13:25:46.323199+00:00, NO2 trop col 1.2246e+16, unc 5.6344e+15\n", - "177648793_TEMPO_NO2_L2_V04_20240729T150540Z_S007G03_subsetted.nc\n", + "224528344_TEMPO_NO2_L2_V04_20240729T150540Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 3 659 40.826088 -73.926720 2.0257e+16 5.3917e+15 0\n", " 3 660 40.805107 -73.933029 1.9372e+16 4.1011e+15 0\n", @@ -4804,7 +4977,7 @@ "no FV: averaged time 2024-07-29 15:05:50.855117+00:00, NO2 trop col 1.9425e+16, unc 3.6672e+15\n", "no negative: averaged time 2024-07-29 15:05:50.855117+00:00, NO2 trop col 1.9425e+16, unc 3.6672e+15\n", "no Small: averaged time 2024-07-29 15:05:50.855117+00:00, NO2 trop col 1.9425e+16, unc 3.6672e+15\n", - "177648792_TEMPO_NO2_L2_V04_20240729T140540Z_S006G03_subsetted.nc\n", + "224528343_TEMPO_NO2_L2_V04_20240729T140540Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 3 660 40.816998 -73.912788 1.6784e+16 2.4717e+15 0\n", " 3 661 40.796066 -73.919075 1.5490e+16 2.7749e+15 0\n", @@ -4814,17 +4987,7 @@ "no FV: averaged time 2024-07-29 14:05:51.711273+00:00, NO2 trop col 1.3298e+16, unc 3.1117e+15\n", "no negative: averaged time 2024-07-29 14:05:51.711273+00:00, NO2 trop col 1.3298e+16, unc 3.1117e+15\n", "no Small: averaged time 2024-07-29 14:05:51.711273+00:00, NO2 trop col 1.3298e+16, unc 3.1117e+15\n", - "177648794_TEMPO_NO2_L2_V04_20240729T160540Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 3 659 40.819843 -73.924797 3.5293e+16 7.7675e+15 0\n", - " 3 660 40.798931 -73.931068 2.7106e+16 5.9641e+15 0\n", - " 4 659 40.817150 -73.987221 3.0776e+16 2.8508e+15 0\n", - " 4 660 40.796558 -73.993279 2.0018e+16 8.3667e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-29 16:05:51.053318+00:00, NO2 trop col 3.2146e+16, unc 5.5252e+15\n", - "no negative: averaged time 2024-07-29 16:05:51.053318+00:00, NO2 trop col 3.2146e+16, unc 5.5252e+15\n", - "no Small: averaged time 2024-07-29 16:05:51.053318+00:00, NO2 trop col 3.2146e+16, unc 5.5252e+15\n", - "177648796_TEMPO_NO2_L2_V04_20240729T180540Z_S010G03_subsetted.nc\n", + "224528347_TEMPO_NO2_L2_V04_20240729T180540Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 3 659 40.827908 -73.906372 1.9797e+16 9.6100e+15 0\n", " 3 660 40.806854 -73.912735 2.7455e+16 5.6261e+15 0\n", @@ -4834,7 +4997,7 @@ "no FV: averaged time 2024-07-29 18:05:51.836435+00:00, NO2 trop col 2.1743e+16, unc 5.7060e+15\n", "no negative: averaged time 2024-07-29 18:05:51.836435+00:00, NO2 trop col 2.1743e+16, unc 5.7060e+15\n", "no Small: averaged time 2024-07-29 18:05:51.836435+00:00, NO2 trop col 2.1743e+16, unc 5.7060e+15\n", - "177648795_TEMPO_NO2_L2_V04_20240729T170540Z_S009G03_subsetted.nc\n", + "224528346_TEMPO_NO2_L2_V04_20240729T170540Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 660 40.830627 -73.939362 1.1865e+17 -1.0000e+30 0\n", " 4 661 40.809677 -73.945648 4.2442e+16 3.6373e+15 0\n", @@ -4844,7 +5007,17 @@ "no FV: averaged time 2024-07-29 17:05:54.906373+00:00, NO2 trop col 5.0272e+16, unc 1.9286e+16\n", "no negative: averaged time 2024-07-29 17:05:54.906373+00:00, NO2 trop col 5.0272e+16, unc 1.9286e+16\n", "no Small: averaged time 2024-07-29 17:05:54.906373+00:00, NO2 trop col 5.0272e+16, unc 1.9286e+16\n", - "177648797_TEMPO_NO2_L2_V04_20240729T190540Z_S011G03_subsetted.nc\n", + "224528345_TEMPO_NO2_L2_V04_20240729T160540Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 3 659 40.819843 -73.924797 3.5293e+16 7.7675e+15 0\n", + " 3 660 40.798931 -73.931068 2.7106e+16 5.9641e+15 0\n", + " 4 659 40.817150 -73.987221 3.0776e+16 2.8508e+15 0\n", + " 4 660 40.796558 -73.993279 2.0018e+16 8.3667e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-29 16:05:51.053318+00:00, NO2 trop col 3.2146e+16, unc 5.5252e+15\n", + "no negative: averaged time 2024-07-29 16:05:51.053318+00:00, NO2 trop col 3.2146e+16, unc 5.5252e+15\n", + "no Small: averaged time 2024-07-29 16:05:51.053318+00:00, NO2 trop col 3.2146e+16, unc 5.5252e+15\n", + "224528348_TEMPO_NO2_L2_V04_20240729T190540Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 3 659 40.824783 -73.898033 1.2831e+16 3.4128e+15 0\n", " 3 660 40.803856 -73.904327 1.7701e+16 6.0815e+15 0\n", @@ -4854,7 +5027,7 @@ "no FV: averaged time 2024-07-29 19:05:52.291797+00:00, NO2 trop col 1.6659e+16, unc 5.4499e+15\n", "no negative: averaged time 2024-07-29 19:05:52.291797+00:00, NO2 trop col 1.6659e+16, unc 5.4499e+15\n", "no Small: averaged time 2024-07-29 19:05:52.291797+00:00, NO2 trop col 1.6659e+16, unc 5.4499e+15\n", - "177648798_TEMPO_NO2_L2_V04_20240729T200540Z_S012G03_subsetted.nc\n", + "224528349_TEMPO_NO2_L2_V04_20240729T200540Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 660 40.818977 -73.927338 2.1277e+16 1.9786e+15 0\n", " 4 661 40.798004 -73.933640 1.5175e+16 1.9023e+15 0\n", @@ -4864,17 +5037,7 @@ "no FV: averaged time 2024-07-29 20:05:53.971545+00:00, NO2 trop col 1.7593e+16, unc 1.6527e+15\n", "no negative: averaged time 2024-07-29 20:05:53.971545+00:00, NO2 trop col 1.7593e+16, unc 1.6527e+15\n", "no Small: averaged time 2024-07-29 20:05:53.971545+00:00, NO2 trop col 1.7593e+16, unc 1.6527e+15\n", - "177648799_TEMPO_NO2_L2_V04_20240729T210540Z_S013G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.820751 -73.942413 1.6257e+16 2.4499e+15 0\n", - " 4 660 40.799877 -73.948647 1.4176e+16 1.5741e+15 0\n", - " 5 659 40.818184 -74.003792 1.4701e+16 1.9331e+15 0\n", - " 5 660 40.796604 -74.010437 1.2232e+16 1.7400e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-29 21:05:53.208771+00:00, NO2 trop col 1.5575e+16, unc 2.1776e+15\n", - "no negative: averaged time 2024-07-29 21:05:53.208771+00:00, NO2 trop col 1.5575e+16, unc 2.1776e+15\n", - "no Small: averaged time 2024-07-29 21:05:53.208771+00:00, NO2 trop col 1.5575e+16, unc 2.1776e+15\n", - "177648800_TEMPO_NO2_L2_V04_20240729T220540Z_S014G03_subsetted.nc\n", + "224528351_TEMPO_NO2_L2_V04_20240729T220540Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 660 40.823040 -73.894478 1.4535e+16 1.3780e+15 0\n", " 4 661 40.802166 -73.900726 1.0971e+16 2.7562e+15 0\n", @@ -4884,7 +5047,17 @@ "no FV: averaged time 2024-07-29 22:05:55.557554+00:00, NO2 trop col 1.3176e+16, unc 1.7355e+15\n", "no negative: averaged time 2024-07-29 22:05:55.557554+00:00, NO2 trop col 1.3176e+16, unc 1.7355e+15\n", "no Small: averaged time 2024-07-29 22:05:55.557554+00:00, NO2 trop col 1.3176e+16, unc 1.7355e+15\n", - "jobID = a067e460-e51c-4e90-b943-e47b425eca1f\n" + "224528350_TEMPO_NO2_L2_V04_20240729T210540Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 4 659 40.820751 -73.942413 1.6257e+16 2.4499e+15 0\n", + " 4 660 40.799877 -73.948647 1.4176e+16 1.5741e+15 0\n", + " 5 659 40.818184 -74.003792 1.4701e+16 1.9331e+15 0\n", + " 5 660 40.796604 -74.010437 1.2232e+16 1.7400e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-29 21:05:53.208771+00:00, NO2 trop col 1.5575e+16, unc 2.1776e+15\n", + "no negative: averaged time 2024-07-29 21:05:53.208771+00:00, NO2 trop col 1.5575e+16, unc 2.1776e+15\n", + "no Small: averaged time 2024-07-29 21:05:53.208771+00:00, NO2 trop col 1.5575e+16, unc 2.1776e+15\n", + "jobID = adf15ace-8d17-4039-9975-b16757ca8f39\n" ] }, { @@ -4898,21 +5071,41 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177648998_TEMPO_NO2_L2_V04_20240730T120538Z_S003G03_subsetted.nc\n", - "./177648997_TEMPO_NO2_L2_V04_20240730T112533Z_S002G03_subsetted.nc\n", - "./177648996_TEMPO_NO2_L2_V04_20240730T104528Z_S001G03_subsetted.nc\n", - "./177648999_TEMPO_NO2_L2_V04_20240730T124543Z_S004G03_subsetted.nc\n", - "./177649000_TEMPO_NO2_L2_V04_20240730T132548Z_S005G03_subsetted.nc\n", - "./177649001_TEMPO_NO2_L2_V04_20240730T140556Z_S006G03_subsetted.nc\n", - "./177649003_TEMPO_NO2_L2_V04_20240730T160556Z_S008G03_subsetted.nc\n", - "./177649002_TEMPO_NO2_L2_V04_20240730T150556Z_S007G03_subsetted.nc\n", - "./177649005_TEMPO_NO2_L2_V04_20240730T180556Z_S010G03_subsetted.nc\n", - "./177649004_TEMPO_NO2_L2_V04_20240730T170556Z_S009G03_subsetted.nc\n", - "./177649006_TEMPO_NO2_L2_V04_20240730T190556Z_S011G03_subsetted.nc\n", - "./177649007_TEMPO_NO2_L2_V04_20240730T200556Z_S012G03_subsetted.nc\n", - "./177649008_TEMPO_NO2_L2_V04_20240730T205934Z_S013G02_subsetted.nc\n", + "./224528772_TEMPO_NO2_L2_V04_20240730T124543Z_S004G03_subsetted.nc\n", + "./224528769_TEMPO_NO2_L2_V04_20240730T104528Z_S001G03_subsetted.nc\n", + "./224528771_TEMPO_NO2_L2_V04_20240730T120538Z_S003G03_subsetted.nc\n", + "./224528770_TEMPO_NO2_L2_V04_20240730T112533Z_S002G03_subsetted.nc\n", + "./224528774_TEMPO_NO2_L2_V04_20240730T140556Z_S006G03_subsetted.nc\n", + "./224528773_TEMPO_NO2_L2_V04_20240730T132548Z_S005G03_subsetted.nc\n", + "./224528775_TEMPO_NO2_L2_V04_20240730T150556Z_S007G03_subsetted.nc\n", + "./224528778_TEMPO_NO2_L2_V04_20240730T180556Z_S010G03_subsetted.nc\n", + "./224528779_TEMPO_NO2_L2_V04_20240730T190556Z_S011G03_subsetted.nc\n", + "./224528780_TEMPO_NO2_L2_V04_20240730T200556Z_S012G03_subsetted.nc\n", + "./224528777_TEMPO_NO2_L2_V04_20240730T170556Z_S009G03_subsetted.nc\n", + "./224528776_TEMPO_NO2_L2_V04_20240730T160556Z_S008G03_subsetted.nc\n", + "./224528781_TEMPO_NO2_L2_V04_20240730T205934Z_S013G02_subsetted.nc\n", "Number of result files: 13\n", - "177648998_TEMPO_NO2_L2_V04_20240730T120538Z_S003G03_subsetted.nc\n", + "224528772_TEMPO_NO2_L2_V04_20240730T124543Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.821892 -73.906471 7.5614e+15 9.3491e+14 0\n", + " 6 661 40.800888 -73.912804 8.7570e+15 3.0397e+15 0\n", + " 7 660 40.819542 -73.968948 5.6069e+15 1.7813e+15 0\n", + " 7 661 40.798447 -73.975304 8.2785e+15 1.2920e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-30 12:46:03.989006+00:00, NO2 trop col 6.5153e+15, unc 2.0112e+15\n", + "no negative: averaged time 2024-07-30 12:46:03.989006+00:00, NO2 trop col 6.5153e+15, unc 2.0112e+15\n", + "no Small: averaged time 2024-07-30 12:46:03.989006+00:00, NO2 trop col 6.5153e+15, unc 2.0112e+15\n", + "224528769_TEMPO_NO2_L2_V04_20240730T104528Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.828823 -73.927879 4.6663e+15 9.8625e+14 1\n", + " 6 660 40.807766 -73.934219 5.4575e+15 1.3467e+15 1\n", + " 7 659 40.826508 -73.989830 4.7087e+15 9.8366e+14 1\n", + " 7 660 40.805496 -73.996124 6.0132e+15 9.9315e+14 1\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224528771_TEMPO_NO2_L2_V04_20240730T120538Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.821335 -73.897377 8.1502e+15 9.6511e+14 0\n", " 6 661 40.800423 -73.903656 7.2673e+15 1.5501e+15 0\n", @@ -4922,7 +5115,7 @@ "no FV: averaged time 2024-07-30 12:05:59.471062+00:00, NO2 trop col 7.7607e+15, unc 1.3165e+15\n", "no negative: averaged time 2024-07-30 12:05:59.471062+00:00, NO2 trop col 7.7607e+15, unc 1.3165e+15\n", "no Small: averaged time 2024-07-30 12:05:59.471062+00:00, NO2 trop col 7.7607e+15, unc 1.3165e+15\n", - "177648997_TEMPO_NO2_L2_V04_20240730T112533Z_S002G03_subsetted.nc\n", + "224528770_TEMPO_NO2_L2_V04_20240730T112533Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.828461 -73.918472 3.8752e+15 8.7592e+14 0\n", " 6 660 40.807514 -73.924744 6.4493e+15 8.7658e+14 0\n", @@ -4932,27 +5125,17 @@ "no FV: averaged time 2024-07-30 11:25:53.304220+00:00, NO2 trop col 5.9059e+15, unc 8.3473e+14\n", "no negative: averaged time 2024-07-30 11:25:53.304220+00:00, NO2 trop col 5.9059e+15, unc 8.3473e+14\n", "no Small: averaged time 2024-07-30 11:25:53.304220+00:00, NO2 trop col 5.9059e+15, unc 8.3473e+14\n", - "177648996_TEMPO_NO2_L2_V04_20240730T104528Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.828823 -73.927879 4.6663e+15 9.8625e+14 1\n", - " 6 660 40.807766 -73.934219 5.4575e+15 1.3467e+15 1\n", - " 7 659 40.826508 -73.989830 4.7087e+15 9.8366e+14 1\n", - " 7 660 40.805496 -73.996124 6.0132e+15 9.9315e+14 1\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177648999_TEMPO_NO2_L2_V04_20240730T124543Z_S004G03_subsetted.nc\n", + "224528774_TEMPO_NO2_L2_V04_20240730T140556Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.821892 -73.906471 7.5614e+15 9.3491e+14 0\n", - " 6 661 40.800888 -73.912804 8.7570e+15 3.0397e+15 0\n", - " 7 660 40.819542 -73.968948 5.6069e+15 1.7813e+15 0\n", - " 7 661 40.798447 -73.975304 8.2785e+15 1.2920e+15 0\n", + " 5 660 40.824467 -73.906128 5.4687e+15 6.6722e+14 0\n", + " 5 661 40.803432 -73.912468 5.6288e+15 8.0413e+14 0\n", + " 6 660 40.822739 -73.967758 5.3035e+15 8.1781e+14 0\n", + " 6 661 40.801716 -73.974075 4.2795e+15 1.2183e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-30 12:46:03.989006+00:00, NO2 trop col 6.5153e+15, unc 2.0112e+15\n", - "no negative: averaged time 2024-07-30 12:46:03.989006+00:00, NO2 trop col 6.5153e+15, unc 2.0112e+15\n", - "no Small: averaged time 2024-07-30 12:46:03.989006+00:00, NO2 trop col 6.5153e+15, unc 2.0112e+15\n", - "177649000_TEMPO_NO2_L2_V04_20240730T132548Z_S005G03_subsetted.nc\n", + "no FV: averaged time 2024-07-30 14:06:13.994981+00:00, NO2 trop col 5.3451e+15, unc 8.3779e+14\n", + "no negative: averaged time 2024-07-30 14:06:13.994981+00:00, NO2 trop col 5.3451e+15, unc 8.3779e+14\n", + "no Small: averaged time 2024-07-30 14:06:13.994981+00:00, NO2 trop col 5.3451e+15, unc 8.3779e+14\n", + "224528773_TEMPO_NO2_L2_V04_20240730T132548Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.837627 -73.907341 1.6899e+16 3.5403e+15 0\n", " 6 660 40.816593 -73.913696 4.2569e+15 4.6538e+14 0\n", @@ -4962,27 +5145,7 @@ "no FV: averaged time 2024-07-30 13:26:08.737792+00:00, NO2 trop col 5.1314e+15, unc 1.2917e+15\n", "no negative: averaged time 2024-07-30 13:26:08.737792+00:00, NO2 trop col 5.1314e+15, unc 1.2917e+15\n", "no Small: averaged time 2024-07-30 13:26:08.737792+00:00, NO2 trop col 5.1314e+15, unc 1.2917e+15\n", - "177649001_TEMPO_NO2_L2_V04_20240730T140556Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.824467 -73.906128 5.4687e+15 6.6722e+14 0\n", - " 5 661 40.803432 -73.912468 5.6288e+15 8.0413e+14 0\n", - " 6 660 40.822739 -73.967758 5.3035e+15 8.1781e+14 0\n", - " 6 661 40.801716 -73.974075 4.2795e+15 1.2183e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-30 14:06:13.994981+00:00, NO2 trop col 5.3451e+15, unc 8.3779e+14\n", - "no negative: averaged time 2024-07-30 14:06:13.994981+00:00, NO2 trop col 5.3451e+15, unc 8.3779e+14\n", - "no Small: averaged time 2024-07-30 14:06:13.994981+00:00, NO2 trop col 5.3451e+15, unc 8.3779e+14\n", - "177649003_TEMPO_NO2_L2_V04_20240730T160556Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.826366 -73.903099 6.8787e+15 2.6460e+15 0\n", - " 5 660 40.805317 -73.909462 4.8784e+15 5.3834e+15 0\n", - " 6 659 40.823654 -73.965561 4.2042e+15 2.6777e+15 0\n", - " 6 660 40.802563 -73.971924 5.1555e+15 2.1237e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-30 16:06:14.089269+00:00, NO2 trop col 4.5374e+15, unc 3.3675e+15\n", - "no negative: averaged time 2024-07-30 16:06:14.089269+00:00, NO2 trop col 4.5374e+15, unc 3.3675e+15\n", - "no Small: averaged time 2024-07-30 16:06:14.089447+00:00, NO2 trop col 5.3787e+15, unc 2.4289e+15\n", - "177649002_TEMPO_NO2_L2_V04_20240730T150556Z_S007G03_subsetted.nc\n", + "224528775_TEMPO_NO2_L2_V04_20240730T150556Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.825592 -73.906006 9.0784e+15 2.8095e+15 0\n", " 5 660 40.804554 -73.912361 9.2454e+15 2.3627e+15 0\n", @@ -4992,7 +5155,7 @@ "no FV: averaged time 2024-07-30 15:06:13.984783+00:00, NO2 trop col 9.2199e+15, unc 3.6971e+15\n", "no negative: averaged time 2024-07-30 15:06:13.984783+00:00, NO2 trop col 9.2199e+15, unc 3.6971e+15\n", "no Small: averaged time 2024-07-30 15:06:13.984783+00:00, NO2 trop col 9.2199e+15, unc 3.6971e+15\n", - "177649005_TEMPO_NO2_L2_V04_20240730T180556Z_S010G03_subsetted.nc\n", + "224528778_TEMPO_NO2_L2_V04_20240730T180556Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.833958 -73.889175 6.7590e+15 8.4530e+14 0\n", " 5 659 40.812977 -73.895500 5.7323e+15 1.0054e+15 0\n", @@ -5002,17 +5165,7 @@ "no FV: averaged time 2024-07-30 18:06:14.680347+00:00, NO2 trop col 6.7289e+15, unc 9.1105e+15\n", "no negative: averaged time 2024-07-30 18:06:14.680347+00:00, NO2 trop col 6.7289e+15, unc 9.1105e+15\n", "no Small: averaged time 2024-07-30 18:06:12.926753+00:00, NO2 trop col 7.6063e+15, unc 2.4299e+15\n", - "177649004_TEMPO_NO2_L2_V04_20240730T170556Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.817398 -73.935867 8.8183e+15 4.7951e+15 0\n", - " 6 661 40.796406 -73.942177 5.8209e+15 1.1277e+15 0\n", - " 7 660 40.814907 -73.998405 7.4309e+15 5.4127e+15 0\n", - " 7 661 40.793613 -74.004883 5.4250e+15 4.1305e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-30 17:06:15.640080+00:00, NO2 trop col 8.2849e+15, unc 4.6672e+15\n", - "no negative: averaged time 2024-07-30 17:06:15.640080+00:00, NO2 trop col 8.2849e+15, unc 4.6672e+15\n", - "no Small: averaged time 2024-07-30 17:06:15.640080+00:00, NO2 trop col 8.2849e+15, unc 4.6672e+15\n", - "177649006_TEMPO_NO2_L2_V04_20240730T190556Z_S011G03_subsetted.nc\n", + "224528779_TEMPO_NO2_L2_V04_20240730T190556Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.827824 -73.938560 7.8994e+15 9.3700e+14 0\n", " 6 660 40.806984 -73.944771 9.1096e+15 1.0007e+15 0\n", @@ -5022,7 +5175,7 @@ "no FV: averaged time 2024-07-30 19:06:15.355155+00:00, NO2 trop col 8.3986e+15, unc 9.4890e+14\n", "no negative: averaged time 2024-07-30 19:06:15.355155+00:00, NO2 trop col 8.3986e+15, unc 9.4890e+14\n", "no Small: averaged time 2024-07-30 19:06:15.355155+00:00, NO2 trop col 8.3986e+15, unc 9.4890e+14\n", - "177649007_TEMPO_NO2_L2_V04_20240730T200556Z_S012G03_subsetted.nc\n", + "224528780_TEMPO_NO2_L2_V04_20240730T200556Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.828861 -73.903961 6.1327e+15 8.7604e+14 0\n", " 6 660 40.807758 -73.910347 7.0399e+15 1.0181e+15 0\n", @@ -5032,7 +5185,27 @@ "no FV: averaged time 2024-07-30 20:06:17.058255+00:00, NO2 trop col 7.8140e+15, unc 1.1063e+15\n", "no negative: averaged time 2024-07-30 20:06:17.058255+00:00, NO2 trop col 7.8140e+15, unc 1.1063e+15\n", "no Small: averaged time 2024-07-30 20:06:17.058255+00:00, NO2 trop col 7.8140e+15, unc 1.1063e+15\n", - "177649008_TEMPO_NO2_L2_V04_20240730T205934Z_S013G02_subsetted.nc\n", + "224528777_TEMPO_NO2_L2_V04_20240730T170556Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.817398 -73.935867 8.8183e+15 4.7951e+15 0\n", + " 6 661 40.796406 -73.942177 5.8209e+15 1.1277e+15 0\n", + " 7 660 40.814907 -73.998405 7.4309e+15 5.4127e+15 0\n", + " 7 661 40.793613 -74.004883 5.4250e+15 4.1305e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-30 17:06:15.640080+00:00, NO2 trop col 8.2849e+15, unc 4.6672e+15\n", + "no negative: averaged time 2024-07-30 17:06:15.640080+00:00, NO2 trop col 8.2849e+15, unc 4.6672e+15\n", + "no Small: averaged time 2024-07-30 17:06:15.640080+00:00, NO2 trop col 8.2849e+15, unc 4.6672e+15\n", + "224528776_TEMPO_NO2_L2_V04_20240730T160556Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.826366 -73.903099 6.8787e+15 2.6460e+15 0\n", + " 5 660 40.805317 -73.909462 4.8784e+15 5.3834e+15 0\n", + " 6 659 40.823654 -73.965561 4.2042e+15 2.6777e+15 0\n", + " 6 660 40.802563 -73.971924 5.1555e+15 2.1237e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-30 16:06:14.089269+00:00, NO2 trop col 4.5374e+15, unc 3.3675e+15\n", + "no negative: averaged time 2024-07-30 16:06:14.089269+00:00, NO2 trop col 4.5374e+15, unc 3.3675e+15\n", + "no Small: averaged time 2024-07-30 16:06:14.089447+00:00, NO2 trop col 5.3787e+15, unc 2.4289e+15\n", + "224528781_TEMPO_NO2_L2_V04_20240730T205934Z_S013G02_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 10 658 40.836189 -73.928032 5.3343e+15 7.3544e+14 0\n", " 10 659 40.815472 -73.934181 5.2218e+15 6.5567e+14 0\n", @@ -5042,7 +5215,7 @@ "no FV: averaged time 2024-07-30 21:06:15.740925+00:00, NO2 trop col 5.5173e+15, unc 8.9768e+14\n", "no negative: averaged time 2024-07-30 21:06:15.740925+00:00, NO2 trop col 5.5173e+15, unc 8.9768e+14\n", "no Small: averaged time 2024-07-30 21:06:15.740925+00:00, NO2 trop col 5.5173e+15, unc 8.9768e+14\n", - "jobID = 250cd4b4-5d0e-4e0e-b000-0dbc18486338\n" + "jobID = 94e78b37-3187-438d-a0a9-0c773e821c34\n" ] }, { @@ -5056,31 +5229,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177649069_TEMPO_NO2_L2_V04_20240731T104544Z_S001G03_subsetted.nc\n", - "./177649070_TEMPO_NO2_L2_V04_20240731T112549Z_S002G03_subsetted.nc\n", - "./177649071_TEMPO_NO2_L2_V04_20240731T120554Z_S003G03_subsetted.nc\n", - "./177649072_TEMPO_NO2_L2_V04_20240731T124559Z_S004G03_subsetted.nc\n", - "./177649073_TEMPO_NO2_L2_V04_20240731T132604Z_S005G03_subsetted.nc\n", - "./177649074_TEMPO_NO2_L2_V04_20240731T140612Z_S006G03_subsetted.nc\n", - "./177649075_TEMPO_NO2_L2_V04_20240731T160612Z_S008G03_subsetted.nc\n", - "./177649077_TEMPO_NO2_L2_V04_20240731T180612Z_S010G03_subsetted.nc\n", - "./177649076_TEMPO_NO2_L2_V04_20240731T170612Z_S009G03_subsetted.nc\n", - "./177649081_TEMPO_NO2_L2_V04_20240731T220612Z_S014G03_subsetted.nc\n", - "./177649079_TEMPO_NO2_L2_V04_20240731T200612Z_S012G03_subsetted.nc\n", - "./177649078_TEMPO_NO2_L2_V04_20240731T190612Z_S011G03_subsetted.nc\n", - "./177649080_TEMPO_NO2_L2_V04_20240731T210612Z_S013G03_subsetted.nc\n", + "./224529222_TEMPO_NO2_L2_V04_20240731T112549Z_S002G03_subsetted.nc\n", + "./224529221_TEMPO_NO2_L2_V04_20240731T104544Z_S001G03_subsetted.nc\n", + "./224529224_TEMPO_NO2_L2_V04_20240731T124559Z_S004G03_subsetted.nc\n", + "./224529223_TEMPO_NO2_L2_V04_20240731T120554Z_S003G03_subsetted.nc\n", + "./224529225_TEMPO_NO2_L2_V04_20240731T132604Z_S005G03_subsetted.nc\n", + "./224529227_TEMPO_NO2_L2_V04_20240731T160612Z_S008G03_subsetted.nc\n", + "./224529226_TEMPO_NO2_L2_V04_20240731T140612Z_S006G03_subsetted.nc\n", + "./224529228_TEMPO_NO2_L2_V04_20240731T170612Z_S009G03_subsetted.nc\n", + "./224529229_TEMPO_NO2_L2_V04_20240731T180612Z_S010G03_subsetted.nc\n", + "./224529232_TEMPO_NO2_L2_V04_20240731T210612Z_S013G03_subsetted.nc\n", + "./224529230_TEMPO_NO2_L2_V04_20240731T190612Z_S011G03_subsetted.nc\n", + "./224529231_TEMPO_NO2_L2_V04_20240731T200612Z_S012G03_subsetted.nc\n", + "./224529233_TEMPO_NO2_L2_V04_20240731T220612Z_S014G03_subsetted.nc\n", "Number of result files: 13\n", - "177649069_TEMPO_NO2_L2_V04_20240731T104544Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.830448 -73.905510 3.6815e+15 1.1561e+15 1\n", - " 6 660 40.809368 -73.911888 5.2226e+15 8.2730e+14 1\n", - " 7 659 40.827881 -73.967613 3.1048e+15 8.5176e+14 1\n", - " 7 660 40.807037 -73.973816 3.3540e+15 9.3054e+14 1\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649070_TEMPO_NO2_L2_V04_20240731T112549Z_S002G03_subsetted.nc\n", + "224529222_TEMPO_NO2_L2_V04_20240731T112549Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.823280 -73.919151 5.4095e+15 1.1797e+15 0\n", " 6 660 40.802399 -73.925385 5.0643e+15 1.7975e+15 0\n", @@ -5090,17 +5253,17 @@ "no FV: averaged time 2024-07-31 11:26:09.347677+00:00, NO2 trop col 5.4611e+15, unc 1.6346e+15\n", "no negative: averaged time 2024-07-31 11:26:09.347677+00:00, NO2 trop col 5.4611e+15, unc 1.6346e+15\n", "no Small: averaged time 2024-07-31 11:26:09.347677+00:00, NO2 trop col 5.4611e+15, unc 1.6346e+15\n", - "177649071_TEMPO_NO2_L2_V04_20240731T120554Z_S003G03_subsetted.nc\n", + "224529221_TEMPO_NO2_L2_V04_20240731T104544Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 7 660 40.817833 -73.948662 3.5686e+15 1.5520e+15 0\n", - " 7 661 40.796856 -73.954948 3.9189e+15 1.9984e+15 0\n", - " 8 660 40.815521 -74.010574 5.7400e+15 1.2673e+15 0\n", - " 8 661 40.794159 -74.017067 3.5276e+15 6.8031e+14 0\n", + " 6 659 40.830448 -73.905510 3.6815e+15 1.1561e+15 1\n", + " 6 660 40.809368 -73.911888 5.2226e+15 8.2730e+14 1\n", + " 7 659 40.827881 -73.967613 3.1048e+15 8.5176e+14 1\n", + " 7 660 40.807037 -73.973816 3.3540e+15 9.3054e+14 1\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-31 12:06:16.003498+00:00, NO2 trop col 3.6485e+15, unc 1.6000e+15\n", - "no negative: averaged time 2024-07-31 12:06:16.003498+00:00, NO2 trop col 3.6485e+15, unc 1.6000e+15\n", - "no Small: averaged time 2024-07-31 12:06:16.003498+00:00, NO2 trop col 3.6485e+15, unc 1.6000e+15\n", - "177649072_TEMPO_NO2_L2_V04_20240731T124559Z_S004G03_subsetted.nc\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224529224_TEMPO_NO2_L2_V04_20240731T124559Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.835846 -73.892204 4.3838e+15 1.4716e+15 0\n", " 6 661 40.814823 -73.898544 5.7620e+15 3.2806e+15 0\n", @@ -5110,7 +5273,17 @@ "no FV: averaged time 2024-07-31 12:46:20.536556+00:00, NO2 trop col 3.6460e+15, unc 1.3158e+15\n", "no negative: averaged time 2024-07-31 12:46:20.536556+00:00, NO2 trop col 3.6460e+15, unc 1.3158e+15\n", "no Small: averaged time 2024-07-31 12:46:20.536556+00:00, NO2 trop col 3.6460e+15, unc 1.3158e+15\n", - "177649073_TEMPO_NO2_L2_V04_20240731T132604Z_S005G03_subsetted.nc\n", + "224529223_TEMPO_NO2_L2_V04_20240731T120554Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 7 660 40.817833 -73.948662 3.5686e+15 1.5520e+15 0\n", + " 7 661 40.796856 -73.954948 3.9189e+15 1.9984e+15 0\n", + " 8 660 40.815521 -74.010574 5.7400e+15 1.2673e+15 0\n", + " 8 661 40.794159 -74.017067 3.5276e+15 6.8031e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-31 12:06:16.003498+00:00, NO2 trop col 3.6485e+15, unc 1.6000e+15\n", + "no negative: averaged time 2024-07-31 12:06:16.003498+00:00, NO2 trop col 3.6485e+15, unc 1.6000e+15\n", + "no Small: averaged time 2024-07-31 12:06:16.003498+00:00, NO2 trop col 3.6485e+15, unc 1.6000e+15\n", + "224529225_TEMPO_NO2_L2_V04_20240731T132604Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.817757 -73.925117 3.9690e+15 7.4313e+14 0\n", " 6 661 40.796787 -73.931419 4.0230e+15 8.7581e+14 0\n", @@ -5120,17 +5293,7 @@ "no FV: averaged time 2024-07-31 13:26:24.157468+00:00, NO2 trop col 4.2100e+15, unc 1.0955e+15\n", "no negative: averaged time 2024-07-31 13:26:24.157468+00:00, NO2 trop col 4.2100e+15, unc 1.0955e+15\n", "no Small: averaged time 2024-07-31 13:26:24.157468+00:00, NO2 trop col 4.2100e+15, unc 1.0955e+15\n", - "177649074_TEMPO_NO2_L2_V04_20240731T140612Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.817192 -73.910950 6.0310e+15 1.0686e+15 0\n", - " 5 661 40.796249 -73.917244 5.8067e+15 1.0213e+15 0\n", - " 6 660 40.815029 -73.973183 7.4805e+15 1.7948e+15 0\n", - " 6 661 40.794010 -73.979500 5.7792e+15 1.6845e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-31 14:06:29.844439+00:00, NO2 trop col 6.9429e+15, unc 1.5271e+15\n", - "no negative: averaged time 2024-07-31 14:06:29.844439+00:00, NO2 trop col 6.9429e+15, unc 1.5271e+15\n", - "no Small: averaged time 2024-07-31 14:06:29.844439+00:00, NO2 trop col 6.9429e+15, unc 1.5271e+15\n", - "177649075_TEMPO_NO2_L2_V04_20240731T160612Z_S008G03_subsetted.nc\n", + "224529227_TEMPO_NO2_L2_V04_20240731T160612Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 10 651 40.823967 -73.944489 4.8275e+15 1.7616e+15 0\n", " 10 652 40.802944 -73.950813 3.6821e+15 2.7218e+15 0\n", @@ -5140,17 +5303,17 @@ "no FV: averaged time 2024-07-31 16:06:58.393815+00:00, NO2 trop col 4.3244e+15, unc 2.2555e+15\n", "no negative: averaged time 2024-07-31 16:06:58.393815+00:00, NO2 trop col 4.3244e+15, unc 2.2555e+15\n", "no Small: averaged time 2024-07-31 16:06:58.393815+00:00, NO2 trop col 4.3244e+15, unc 2.2555e+15\n", - "177649077_TEMPO_NO2_L2_V04_20240731T180612Z_S010G03_subsetted.nc\n", + "224529226_TEMPO_NO2_L2_V04_20240731T140612Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.825424 -73.895851 1.3379e+16 1.5330e+15 0\n", - " 5 660 40.804546 -73.902100 1.3241e+16 3.8338e+15 0\n", - " 6 659 40.822823 -73.957695 1.2745e+16 5.9397e+15 0\n", - " 6 660 40.801632 -73.964127 1.2256e+16 4.2523e+15 0\n", + " 5 660 40.817192 -73.910950 6.0310e+15 1.0686e+15 0\n", + " 5 661 40.796249 -73.917244 5.8067e+15 1.0213e+15 0\n", + " 6 660 40.815029 -73.973183 7.4805e+15 1.7948e+15 0\n", + " 6 661 40.794010 -73.979500 5.7792e+15 1.6845e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-31 18:06:30.490587+00:00, NO2 trop col 1.2714e+16, unc 5.2398e+15\n", - "no negative: averaged time 2024-07-31 18:06:30.490587+00:00, NO2 trop col 1.2714e+16, unc 5.2398e+15\n", - "no Small: averaged time 2024-07-31 18:06:30.490587+00:00, NO2 trop col 1.2714e+16, unc 5.2398e+15\n", - "177649076_TEMPO_NO2_L2_V04_20240731T170612Z_S009G03_subsetted.nc\n", + "no FV: averaged time 2024-07-31 14:06:29.844439+00:00, NO2 trop col 6.9429e+15, unc 1.5271e+15\n", + "no negative: averaged time 2024-07-31 14:06:29.844439+00:00, NO2 trop col 6.9429e+15, unc 1.5271e+15\n", + "no Small: averaged time 2024-07-31 14:06:29.844439+00:00, NO2 trop col 6.9429e+15, unc 1.5271e+15\n", + "224529228_TEMPO_NO2_L2_V04_20240731T170612Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.833538 -73.937637 1.1033e+16 3.0826e+15 0\n", " 6 660 40.812656 -73.943878 7.3217e+15 2.8210e+15 0\n", @@ -5160,27 +5323,27 @@ "no FV: averaged time 2024-07-31 17:06:31.311435+00:00, NO2 trop col 8.7453e+15, unc 3.3069e+15\n", "no negative: averaged time 2024-07-31 17:06:31.311435+00:00, NO2 trop col 8.7453e+15, unc 3.3069e+15\n", "no Small: averaged time 2024-07-31 17:06:31.311435+00:00, NO2 trop col 8.7453e+15, unc 3.3069e+15\n", - "177649081_TEMPO_NO2_L2_V04_20240731T220612Z_S014G03_subsetted.nc\n", + "224529229_TEMPO_NO2_L2_V04_20240731T180612Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 7 659 40.829304 -73.943130 6.3656e+15 2.5090e+15 0\n", - " 7 660 40.808205 -73.949509 7.6617e+15 2.7861e+15 0\n", - " 8 659 40.827629 -74.005127 7.5914e+15 2.1885e+15 0\n", - " 8 660 40.806599 -74.011429 7.0071e+15 1.8153e+15 0\n", + " 5 659 40.825424 -73.895851 1.3379e+16 1.5330e+15 0\n", + " 5 660 40.804546 -73.902100 1.3241e+16 3.8338e+15 0\n", + " 6 659 40.822823 -73.957695 1.2745e+16 5.9397e+15 0\n", + " 6 660 40.801632 -73.964127 1.2256e+16 4.2523e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-31 22:06:34.143835+00:00, NO2 trop col 7.2831e+15, unc 2.6755e+15\n", - "no negative: averaged time 2024-07-31 22:06:34.143835+00:00, NO2 trop col 7.2831e+15, unc 2.6755e+15\n", - "no Small: averaged time 2024-07-31 22:06:34.143835+00:00, NO2 trop col 7.2831e+15, unc 2.6755e+15\n", - "177649079_TEMPO_NO2_L2_V04_20240731T200612Z_S012G03_subsetted.nc\n", + "no FV: averaged time 2024-07-31 18:06:30.490587+00:00, NO2 trop col 1.2714e+16, unc 5.2398e+15\n", + "no negative: averaged time 2024-07-31 18:06:30.490587+00:00, NO2 trop col 1.2714e+16, unc 5.2398e+15\n", + "no Small: averaged time 2024-07-31 18:06:30.490587+00:00, NO2 trop col 1.2714e+16, unc 5.2398e+15\n", + "224529232_TEMPO_NO2_L2_V04_20240731T210612Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.827755 -73.917511 9.1296e+15 2.6073e+15 0\n", - " 6 660 40.806847 -73.923775 7.6171e+15 2.8276e+15 0\n", - " 7 659 40.824875 -73.979805 6.8293e+15 2.1781e+15 0\n", - " 7 660 40.804543 -73.985687 5.9630e+15 3.5716e+15 0\n", + " 6 659 40.831474 -73.928955 9.1125e+15 6.0811e+15 0\n", + " 6 660 40.810547 -73.935226 7.0038e+15 2.3038e+15 0\n", + " 7 659 40.829060 -73.991051 6.3164e+15 6.3784e+15 0\n", + " 7 660 40.807945 -73.997414 3.4705e+15 6.3540e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-31 20:06:32.403711+00:00, NO2 trop col 7.2362e+15, unc 2.5274e+15\n", - "no negative: averaged time 2024-07-31 20:06:32.403711+00:00, NO2 trop col 7.2362e+15, unc 2.5274e+15\n", - "no Small: averaged time 2024-07-31 20:06:32.403711+00:00, NO2 trop col 7.2362e+15, unc 2.5274e+15\n", - "177649078_TEMPO_NO2_L2_V04_20240731T190612Z_S011G03_subsetted.nc\n", + "no FV: averaged time 2024-07-31 21:06:31.766526+00:00, NO2 trop col 6.7785e+15, unc 3.4121e+15\n", + "no negative: averaged time 2024-07-31 21:06:31.766526+00:00, NO2 trop col 6.7785e+15, unc 3.4121e+15\n", + "no Small: averaged time 2024-07-31 21:06:30.941320+00:00, NO2 trop col 8.0581e+15, unc 4.1925e+15\n", + "224529230_TEMPO_NO2_L2_V04_20240731T190612Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.820023 -73.941116 9.7024e+15 1.9368e+15 0\n", " 6 660 40.799152 -73.947350 7.9909e+15 3.3400e+15 0\n", @@ -5190,17 +5353,27 @@ "no FV: averaged time 2024-07-31 19:06:31.360098+00:00, NO2 trop col 9.3977e+15, unc 2.6741e+15\n", "no negative: averaged time 2024-07-31 19:06:31.360098+00:00, NO2 trop col 9.3977e+15, unc 2.6741e+15\n", "no Small: averaged time 2024-07-31 19:06:31.360098+00:00, NO2 trop col 9.3977e+15, unc 2.6741e+15\n", - "177649080_TEMPO_NO2_L2_V04_20240731T210612Z_S013G03_subsetted.nc\n", + "224529231_TEMPO_NO2_L2_V04_20240731T200612Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.831474 -73.928955 9.1125e+15 6.0811e+15 0\n", - " 6 660 40.810547 -73.935226 7.0038e+15 2.3038e+15 0\n", - " 7 659 40.829060 -73.991051 6.3164e+15 6.3784e+15 0\n", - " 7 660 40.807945 -73.997414 3.4705e+15 6.3540e+15 0\n", + " 6 659 40.827755 -73.917511 9.1296e+15 2.6073e+15 0\n", + " 6 660 40.806847 -73.923775 7.6171e+15 2.8276e+15 0\n", + " 7 659 40.824875 -73.979805 6.8293e+15 2.1781e+15 0\n", + " 7 660 40.804543 -73.985687 5.9630e+15 3.5716e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-07-31 21:06:31.766526+00:00, NO2 trop col 6.7785e+15, unc 3.4121e+15\n", - "no negative: averaged time 2024-07-31 21:06:31.766526+00:00, NO2 trop col 6.7785e+15, unc 3.4121e+15\n", - "no Small: averaged time 2024-07-31 21:06:30.941320+00:00, NO2 trop col 8.0581e+15, unc 4.1925e+15\n", - "jobID = 2a85c155-3d1a-40a6-96b6-abc067e687dc\n" + "no FV: averaged time 2024-07-31 20:06:32.403711+00:00, NO2 trop col 7.2362e+15, unc 2.5274e+15\n", + "no negative: averaged time 2024-07-31 20:06:32.403711+00:00, NO2 trop col 7.2362e+15, unc 2.5274e+15\n", + "no Small: averaged time 2024-07-31 20:06:32.403711+00:00, NO2 trop col 7.2362e+15, unc 2.5274e+15\n", + "224529233_TEMPO_NO2_L2_V04_20240731T220612Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 7 659 40.829304 -73.943130 6.3656e+15 2.5090e+15 0\n", + " 7 660 40.808205 -73.949509 7.6617e+15 2.7861e+15 0\n", + " 8 659 40.827629 -74.005127 7.5914e+15 2.1885e+15 0\n", + " 8 660 40.806599 -74.011429 7.0071e+15 1.8153e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-07-31 22:06:34.143835+00:00, NO2 trop col 7.2831e+15, unc 2.6755e+15\n", + "no negative: averaged time 2024-07-31 22:06:34.143835+00:00, NO2 trop col 7.2831e+15, unc 2.6755e+15\n", + "no Small: averaged time 2024-07-31 22:06:34.143835+00:00, NO2 trop col 7.2831e+15, unc 2.6755e+15\n", + "jobID = 850b1874-da15-4a3c-a026-f637416c5e1a\n" ] }, { @@ -5214,32 +5387,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177649091_TEMPO_NO2_L2_V04_20240801T104600Z_S001G03_subsetted.nc\n", - "./177649092_TEMPO_NO2_L2_V04_20240801T112605Z_S002G03_subsetted.nc\n", - "./177649093_TEMPO_NO2_L2_V04_20240801T120610Z_S003G03_subsetted.nc\n", - "./177649094_TEMPO_NO2_L2_V04_20240801T124615Z_S004G03_subsetted.nc\n", - "./177649095_TEMPO_NO2_L2_V04_20240801T132620Z_S005G03_subsetted.nc\n", - "./177649096_TEMPO_NO2_L2_V04_20240801T140628Z_S006G03_subsetted.nc\n", - "./177649098_TEMPO_NO2_L2_V04_20240801T160628Z_S008G03_subsetted.nc\n", - "./177649097_TEMPO_NO2_L2_V04_20240801T150628Z_S007G03_subsetted.nc\n", - "./177649099_TEMPO_NO2_L2_V04_20240801T170628Z_S009G03_subsetted.nc\n", - "./177649100_TEMPO_NO2_L2_V04_20240801T180628Z_S010G03_subsetted.nc\n", - "./177649102_TEMPO_NO2_L2_V04_20240801T200628Z_S012G03_subsetted.nc\n", - "./177649101_TEMPO_NO2_L2_V04_20240801T190628Z_S011G03_subsetted.nc\n", - "./177649104_TEMPO_NO2_L2_V04_20240801T220628Z_S014G03_subsetted.nc\n", - "./177649103_TEMPO_NO2_L2_V04_20240801T210628Z_S013G03_subsetted.nc\n", + "./224529466_TEMPO_NO2_L2_V04_20240801T112605Z_S002G03_subsetted.nc\n", + "./224529465_TEMPO_NO2_L2_V04_20240801T104600Z_S001G03_subsetted.nc\n", + "./224529467_TEMPO_NO2_L2_V04_20240801T120610Z_S003G03_subsetted.nc\n", + "./224529469_TEMPO_NO2_L2_V04_20240801T132620Z_S005G03_subsetted.nc\n", + "./224529468_TEMPO_NO2_L2_V04_20240801T124615Z_S004G03_subsetted.nc\n", + "./224529470_TEMPO_NO2_L2_V04_20240801T140628Z_S006G03_subsetted.nc\n", + "./224529471_TEMPO_NO2_L2_V04_20240801T150628Z_S007G03_subsetted.nc\n", + "./224529472_TEMPO_NO2_L2_V04_20240801T160628Z_S008G03_subsetted.nc\n", + "./224529473_TEMPO_NO2_L2_V04_20240801T170628Z_S009G03_subsetted.nc\n", + "./224529474_TEMPO_NO2_L2_V04_20240801T180628Z_S010G03_subsetted.nc\n", + "./224529475_TEMPO_NO2_L2_V04_20240801T190628Z_S011G03_subsetted.nc\n", + "./224529476_TEMPO_NO2_L2_V04_20240801T200628Z_S012G03_subsetted.nc\n", + "./224529477_TEMPO_NO2_L2_V04_20240801T210628Z_S013G03_subsetted.nc\n", + "./224529478_TEMPO_NO2_L2_V04_20240801T220628Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177649091_TEMPO_NO2_L2_V04_20240801T104600Z_S001G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 658 40.837654 -73.888977 7.5164e+15 1.2824e+15 1\n", - " 6 659 40.816601 -73.895309 7.6574e+15 1.2912e+15 1\n", - " 7 658 40.835659 -73.949997 4.6560e+15 1.0171e+15 1\n", - " 7 659 40.814640 -73.956284 6.1016e+15 1.2828e+15 1\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649092_TEMPO_NO2_L2_V04_20240801T112605Z_S002G03_subsetted.nc\n", + "224529466_TEMPO_NO2_L2_V04_20240801T112605Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.831207 -73.936279 7.3037e+15 9.4111e+14 0\n", " 6 660 40.810333 -73.942505 7.9158e+15 1.0418e+15 0\n", @@ -5249,7 +5412,17 @@ "no FV: averaged time 2024-08-01 11:26:24.405025+00:00, NO2 trop col 7.8243e+15, unc 1.0763e+15\n", "no negative: averaged time 2024-08-01 11:26:24.405025+00:00, NO2 trop col 7.8243e+15, unc 1.0763e+15\n", "no Small: averaged time 2024-08-01 11:26:24.405025+00:00, NO2 trop col 7.8243e+15, unc 1.0763e+15\n", - "177649093_TEMPO_NO2_L2_V04_20240801T120610Z_S003G03_subsetted.nc\n", + "224529465_TEMPO_NO2_L2_V04_20240801T104600Z_S001G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 658 40.837654 -73.888977 7.5164e+15 1.2824e+15 1\n", + " 6 659 40.816601 -73.895309 7.6574e+15 1.2912e+15 1\n", + " 7 658 40.835659 -73.949997 4.6560e+15 1.0171e+15 1\n", + " 7 659 40.814640 -73.956284 6.1016e+15 1.2828e+15 1\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224529467_TEMPO_NO2_L2_V04_20240801T120610Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 7 660 40.825062 -73.946205 7.6161e+15 9.8416e+14 0\n", " 7 661 40.803886 -73.952621 1.1059e+16 1.1584e+15 0\n", @@ -5259,17 +5432,7 @@ "no FV: averaged time 2024-08-01 12:06:32.013791+00:00, NO2 trop col 9.2140e+15, unc 1.0667e+15\n", "no negative: averaged time 2024-08-01 12:06:32.013791+00:00, NO2 trop col 9.2140e+15, unc 1.0667e+15\n", "no Small: averaged time 2024-08-01 12:06:32.013791+00:00, NO2 trop col 9.2140e+15, unc 1.0667e+15\n", - "177649094_TEMPO_NO2_L2_V04_20240801T124615Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.823658 -73.892159 8.5668e+15 7.7878e+14 0\n", - " 6 661 40.802757 -73.898422 9.8848e+15 1.0988e+15 0\n", - " 7 660 40.821522 -73.953934 8.6917e+15 1.0934e+15 0\n", - " 7 661 40.800251 -73.960403 1.0589e+16 1.1193e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-01 12:46:36.687672+00:00, NO2 trop col 9.2048e+15, unc 1.0994e+15\n", - "no negative: averaged time 2024-08-01 12:46:36.687672+00:00, NO2 trop col 9.2048e+15, unc 1.0994e+15\n", - "no Small: averaged time 2024-08-01 12:46:36.687672+00:00, NO2 trop col 9.2048e+15, unc 1.0994e+15\n", - "177649095_TEMPO_NO2_L2_V04_20240801T132620Z_S005G03_subsetted.nc\n", + "224529469_TEMPO_NO2_L2_V04_20240801T132620Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.834137 -73.914635 6.9108e+15 7.5371e+14 0\n", " 6 660 40.813183 -73.920921 6.3649e+15 5.4721e+14 0\n", @@ -5279,7 +5442,17 @@ "no FV: averaged time 2024-08-01 13:26:40.404051+00:00, NO2 trop col 6.8718e+15, unc 6.6777e+14\n", "no negative: averaged time 2024-08-01 13:26:40.404051+00:00, NO2 trop col 6.8718e+15, unc 6.6777e+14\n", "no Small: averaged time 2024-08-01 13:26:40.404051+00:00, NO2 trop col 6.8718e+15, unc 6.6777e+14\n", - "177649096_TEMPO_NO2_L2_V04_20240801T140628Z_S006G03_subsetted.nc\n", + "224529468_TEMPO_NO2_L2_V04_20240801T124615Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.823658 -73.892159 8.5668e+15 7.7878e+14 0\n", + " 6 661 40.802757 -73.898422 9.8848e+15 1.0988e+15 0\n", + " 7 660 40.821522 -73.953934 8.6917e+15 1.0934e+15 0\n", + " 7 661 40.800251 -73.960403 1.0589e+16 1.1193e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-01 12:46:36.687672+00:00, NO2 trop col 9.2048e+15, unc 1.0994e+15\n", + "no negative: averaged time 2024-08-01 12:46:36.687672+00:00, NO2 trop col 9.2048e+15, unc 1.0994e+15\n", + "no Small: averaged time 2024-08-01 12:46:36.687672+00:00, NO2 trop col 9.2048e+15, unc 1.0994e+15\n", + "224529470_TEMPO_NO2_L2_V04_20240801T140628Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.836411 -73.919449 1.0076e+16 8.9782e+14 0\n", " 5 660 40.815575 -73.925667 7.9456e+15 5.6017e+14 0\n", @@ -5289,17 +5462,7 @@ "no FV: averaged time 2024-08-01 14:06:45.131044+00:00, NO2 trop col 7.7483e+15, unc 6.0652e+14\n", "no negative: averaged time 2024-08-01 14:06:45.131044+00:00, NO2 trop col 7.7483e+15, unc 6.0652e+14\n", "no Small: averaged time 2024-08-01 14:06:45.131044+00:00, NO2 trop col 7.7483e+15, unc 6.0652e+14\n", - "177649098_TEMPO_NO2_L2_V04_20240801T160628Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.822750 -73.911446 1.0458e+16 5.6491e+14 0\n", - " 5 660 40.801792 -73.917747 1.2262e+16 6.5825e+14 0\n", - " 6 659 40.819992 -73.974365 1.0014e+16 9.4761e+14 0\n", - " 6 660 40.799217 -73.980522 1.4135e+16 1.2464e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-01 16:06:45.711934+00:00, NO2 trop col 1.0695e+16, unc 8.1772e+14\n", - "no negative: averaged time 2024-08-01 16:06:45.711934+00:00, NO2 trop col 1.0695e+16, unc 8.1772e+14\n", - "no Small: averaged time 2024-08-01 16:06:45.711934+00:00, NO2 trop col 1.0695e+16, unc 8.1772e+14\n", - "177649097_TEMPO_NO2_L2_V04_20240801T150628Z_S007G03_subsetted.nc\n", + "224529471_TEMPO_NO2_L2_V04_20240801T150628Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.834454 -73.922409 1.0323e+16 6.8035e+14 0\n", " 5 660 40.813644 -73.928604 1.3261e+16 8.0994e+14 0\n", @@ -5309,7 +5472,17 @@ "no FV: averaged time 2024-08-01 15:06:45.020978+00:00, NO2 trop col 1.1634e+16, unc 7.8081e+14\n", "no negative: averaged time 2024-08-01 15:06:45.020978+00:00, NO2 trop col 1.1634e+16, unc 7.8081e+14\n", "no Small: averaged time 2024-08-01 15:06:45.020978+00:00, NO2 trop col 1.1634e+16, unc 7.8081e+14\n", - "177649099_TEMPO_NO2_L2_V04_20240801T170628Z_S009G03_subsetted.nc\n", + "224529472_TEMPO_NO2_L2_V04_20240801T160628Z_S008G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.822750 -73.911446 1.0458e+16 5.6491e+14 0\n", + " 5 660 40.801792 -73.917747 1.2262e+16 6.5825e+14 0\n", + " 6 659 40.819992 -73.974365 1.0014e+16 9.4761e+14 0\n", + " 6 660 40.799217 -73.980522 1.4135e+16 1.2464e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-01 16:06:45.711934+00:00, NO2 trop col 1.0695e+16, unc 8.1772e+14\n", + "no negative: averaged time 2024-08-01 16:06:45.711934+00:00, NO2 trop col 1.0695e+16, unc 8.1772e+14\n", + "no Small: averaged time 2024-08-01 16:06:45.711934+00:00, NO2 trop col 1.0695e+16, unc 8.1772e+14\n", + "224529473_TEMPO_NO2_L2_V04_20240801T170628Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.819004 -73.948723 9.8145e+15 1.8146e+15 0\n", " 6 661 40.798012 -73.955025 1.0469e+16 4.2529e+15 0\n", @@ -5319,7 +5492,7 @@ "no FV: averaged time 2024-08-01 17:06:46.992302+00:00, NO2 trop col 9.9344e+15, unc 2.2751e+15\n", "no negative: averaged time 2024-08-01 17:06:46.992302+00:00, NO2 trop col 9.9344e+15, unc 2.2751e+15\n", "no Small: averaged time 2024-08-01 17:06:46.992302+00:00, NO2 trop col 9.9344e+15, unc 2.2751e+15\n", - "177649100_TEMPO_NO2_L2_V04_20240801T180628Z_S010G03_subsetted.nc\n", + "224529474_TEMPO_NO2_L2_V04_20240801T180628Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.828526 -73.894485 3.7859e+15 3.7243e+15 0\n", " 5 660 40.807632 -73.900749 7.7573e+15 1.0853e+15 0\n", @@ -5329,17 +5502,7 @@ "no FV: averaged time 2024-08-01 18:06:46.516877+00:00, NO2 trop col 5.7140e+15, unc 6.5413e+15\n", "no negative: averaged time 2024-08-01 18:06:46.516877+00:00, NO2 trop col 5.7140e+15, unc 6.5413e+15\n", "no Small: averaged time 2024-08-01 18:06:44.937898+00:00, NO2 trop col 6.3318e+15, unc 2.8363e+15\n", - "177649102_TEMPO_NO2_L2_V04_20240801T200628Z_S012G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.817654 -73.922081 1.2504e+16 1.3925e+15 0\n", - " 6 661 40.796764 -73.928329 1.4691e+16 9.2706e+14 0\n", - " 7 660 40.814915 -73.984863 1.2424e+16 1.4467e+15 0\n", - " 7 661 40.794411 -73.990845 1.1270e+16 1.1785e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-01 20:06:48.313950+00:00, NO2 trop col 1.2586e+16, unc 1.3916e+15\n", - "no negative: averaged time 2024-08-01 20:06:48.313950+00:00, NO2 trop col 1.2586e+16, unc 1.3916e+15\n", - "no Small: averaged time 2024-08-01 20:06:48.313950+00:00, NO2 trop col 1.2586e+16, unc 1.3916e+15\n", - "177649101_TEMPO_NO2_L2_V04_20240801T190628Z_S011G03_subsetted.nc\n", + "224529475_TEMPO_NO2_L2_V04_20240801T190628Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.818623 -73.946068 7.4998e+15 1.3603e+15 0\n", " 6 660 40.797802 -73.952271 8.9584e+15 1.7944e+15 0\n", @@ -5349,17 +5512,17 @@ "no FV: averaged time 2024-08-01 19:06:47.128328+00:00, NO2 trop col 7.6798e+15, unc 1.4175e+15\n", "no negative: averaged time 2024-08-01 19:06:47.128328+00:00, NO2 trop col 7.6798e+15, unc 1.4175e+15\n", "no Small: averaged time 2024-08-01 19:06:47.128328+00:00, NO2 trop col 7.6798e+15, unc 1.4175e+15\n", - "177649104_TEMPO_NO2_L2_V04_20240801T220628Z_S014G03_subsetted.nc\n", + "224529476_TEMPO_NO2_L2_V04_20240801T200628Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 7 659 40.836296 -73.932724 1.7324e+16 8.6616e+14 0\n", - " 7 660 40.815578 -73.938866 1.5342e+16 8.9258e+14 0\n", - " 8 659 40.834099 -73.994514 1.3921e+16 9.6240e+14 0\n", - " 8 660 40.813015 -74.000862 1.3720e+16 9.4368e+14 0\n", + " 6 660 40.817654 -73.922081 1.2504e+16 1.3925e+15 0\n", + " 6 661 40.796764 -73.928329 1.4691e+16 9.2706e+14 0\n", + " 7 660 40.814915 -73.984863 1.2424e+16 1.4467e+15 0\n", + " 7 661 40.794411 -73.990845 1.1270e+16 1.1785e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-01 22:06:50.560645+00:00, NO2 trop col 1.5038e+16, unc 9.0240e+14\n", - "no negative: averaged time 2024-08-01 22:06:50.560645+00:00, NO2 trop col 1.5038e+16, unc 9.0240e+14\n", - "no Small: averaged time 2024-08-01 22:06:50.560645+00:00, NO2 trop col 1.5038e+16, unc 9.0240e+14\n", - "177649103_TEMPO_NO2_L2_V04_20240801T210628Z_S013G03_subsetted.nc\n", + "no FV: averaged time 2024-08-01 20:06:48.313950+00:00, NO2 trop col 1.2586e+16, unc 1.3916e+15\n", + "no negative: averaged time 2024-08-01 20:06:48.313950+00:00, NO2 trop col 1.2586e+16, unc 1.3916e+15\n", + "no Small: averaged time 2024-08-01 20:06:48.313950+00:00, NO2 trop col 1.2586e+16, unc 1.3916e+15\n", + "224529477_TEMPO_NO2_L2_V04_20240801T210628Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.823231 -73.916992 1.8425e+16 1.2399e+15 0\n", " 6 660 40.802349 -73.923233 1.8484e+16 1.1086e+15 0\n", @@ -5369,7 +5532,17 @@ "no FV: averaged time 2024-08-01 21:06:48.484847+00:00, NO2 trop col 1.6028e+16, unc 2.5887e+15\n", "no negative: averaged time 2024-08-01 21:06:48.484847+00:00, NO2 trop col 1.6028e+16, unc 2.5887e+15\n", "no Small: averaged time 2024-08-01 21:06:48.484847+00:00, NO2 trop col 1.6028e+16, unc 2.5887e+15\n", - "jobID = 8b8bce6e-9d93-4773-a136-81ea1580b56c\n" + "224529478_TEMPO_NO2_L2_V04_20240801T220628Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 7 659 40.836296 -73.932724 1.7324e+16 8.6616e+14 0\n", + " 7 660 40.815578 -73.938866 1.5342e+16 8.9258e+14 0\n", + " 8 659 40.834099 -73.994514 1.3921e+16 9.6240e+14 0\n", + " 8 660 40.813015 -74.000862 1.3720e+16 9.4368e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-01 22:06:50.560645+00:00, NO2 trop col 1.5038e+16, unc 9.0240e+14\n", + "no negative: averaged time 2024-08-01 22:06:50.560645+00:00, NO2 trop col 1.5038e+16, unc 9.0240e+14\n", + "no Small: averaged time 2024-08-01 22:06:50.560645+00:00, NO2 trop col 1.5038e+16, unc 9.0240e+14\n", + "jobID = b1bdede1-396c-49ee-af38-9df5f4de2ba8\n" ] }, { @@ -5383,42 +5556,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177649163_TEMPO_NO2_L2_V04_20240802T112619Z_S002G03_subsetted.nc\n", - "./177649165_TEMPO_NO2_L2_V04_20240802T124629Z_S004G03_subsetted.nc\n", - "./177649162_TEMPO_NO2_L2_V04_20240802T104614Z_S001G03_subsetted.nc\n", - "./177649164_TEMPO_NO2_L2_V04_20240802T120624Z_S003G03_subsetted.nc\n", - "./177649166_TEMPO_NO2_L2_V04_20240802T132634Z_S005G03_subsetted.nc\n", - "./177649167_TEMPO_NO2_L2_V04_20240802T140642Z_S006G03_subsetted.nc\n", - "./177649169_TEMPO_NO2_L2_V04_20240802T160642Z_S008G03_subsetted.nc\n", - "./177649168_TEMPO_NO2_L2_V04_20240802T150642Z_S007G03_subsetted.nc\n", - "./177649170_TEMPO_NO2_L2_V04_20240802T170642Z_S009G03_subsetted.nc\n", - "./177649171_TEMPO_NO2_L2_V04_20240802T180642Z_S010G03_subsetted.nc\n", - "./177649174_TEMPO_NO2_L2_V04_20240802T210642Z_S013G03_subsetted.nc\n", - "./177649172_TEMPO_NO2_L2_V04_20240802T190642Z_S011G03_subsetted.nc\n", - "./177649173_TEMPO_NO2_L2_V04_20240802T200642Z_S012G03_subsetted.nc\n", - "./177649175_TEMPO_NO2_L2_V04_20240802T220642Z_S014G03_subsetted.nc\n", + "./224529844_TEMPO_NO2_L2_V04_20240802T104614Z_S001G03_subsetted.nc\n", + "./224529845_TEMPO_NO2_L2_V04_20240802T112619Z_S002G03_subsetted.nc\n", + "./224529846_TEMPO_NO2_L2_V04_20240802T120624Z_S003G03_subsetted.nc\n", + "./224529847_TEMPO_NO2_L2_V04_20240802T124629Z_S004G03_subsetted.nc\n", + "./224529848_TEMPO_NO2_L2_V04_20240802T132634Z_S005G03_subsetted.nc\n", + "./224529850_TEMPO_NO2_L2_V04_20240802T150642Z_S007G03_subsetted.nc\n", + "./224529849_TEMPO_NO2_L2_V04_20240802T140642Z_S006G03_subsetted.nc\n", + "./224529851_TEMPO_NO2_L2_V04_20240802T160642Z_S008G03_subsetted.nc\n", + "./224529853_TEMPO_NO2_L2_V04_20240802T180642Z_S010G03_subsetted.nc\n", + "./224529852_TEMPO_NO2_L2_V04_20240802T170642Z_S009G03_subsetted.nc\n", + "./224529854_TEMPO_NO2_L2_V04_20240802T190642Z_S011G03_subsetted.nc\n", + "./224529855_TEMPO_NO2_L2_V04_20240802T200642Z_S012G03_subsetted.nc\n", + "./224529856_TEMPO_NO2_L2_V04_20240802T210642Z_S013G03_subsetted.nc\n", + "./224529857_TEMPO_NO2_L2_V04_20240802T220642Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177649163_TEMPO_NO2_L2_V04_20240802T112619Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.823593 -73.919411 1.2108e+16 7.3290e+14 0\n", - " 6 660 40.802700 -73.925652 1.5255e+16 8.3916e+14 0\n", - " 7 659 40.820660 -73.981766 9.8145e+15 8.1963e+14 0\n", - " 7 660 40.800377 -73.987602 9.0985e+15 7.2869e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-02 11:26:39.338876+00:00, NO2 trop col 1.2084e+16, unc 8.0850e+14\n", - "no negative: averaged time 2024-08-02 11:26:39.338876+00:00, NO2 trop col 1.2084e+16, unc 8.0850e+14\n", - "no Small: averaged time 2024-08-02 11:26:39.338876+00:00, NO2 trop col 1.2084e+16, unc 8.0850e+14\n", - "177649165_TEMPO_NO2_L2_V04_20240802T124629Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 660 40.819542 -73.895416 1.8746e+16 5.4720e+14 0\n", - " 6 661 40.798649 -73.901672 2.6348e+16 8.5095e+14 0\n", - " 7 660 40.817814 -73.957756 1.1253e+16 5.2843e+14 0\n", - " 7 661 40.796566 -73.964211 1.8596e+16 7.7406e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-02 12:46:50.555932+00:00, NO2 trop col 1.3219e+16, unc 5.7057e+14\n", - "no negative: averaged time 2024-08-02 12:46:50.555932+00:00, NO2 trop col 1.3219e+16, unc 5.7057e+14\n", - "no Small: averaged time 2024-08-02 12:46:50.555932+00:00, NO2 trop col 1.3219e+16, unc 5.7057e+14\n", - "177649162_TEMPO_NO2_L2_V04_20240802T104614Z_S001G03_subsetted.nc\n", + "224529844_TEMPO_NO2_L2_V04_20240802T104614Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 7 660 40.819851 -73.945374 7.0589e+15 8.4154e+14 1\n", " 7 661 40.798988 -73.951599 1.0385e+16 1.0145e+15 1\n", @@ -5428,7 +5581,17 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649164_TEMPO_NO2_L2_V04_20240802T120624Z_S003G03_subsetted.nc\n", + "224529845_TEMPO_NO2_L2_V04_20240802T112619Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.823593 -73.919411 1.2108e+16 7.3290e+14 0\n", + " 6 660 40.802700 -73.925652 1.5255e+16 8.3916e+14 0\n", + " 7 659 40.820660 -73.981766 9.8145e+15 8.1963e+14 0\n", + " 7 660 40.800377 -73.987602 9.0985e+15 7.2869e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-02 11:26:39.338876+00:00, NO2 trop col 1.2084e+16, unc 8.0850e+14\n", + "no negative: averaged time 2024-08-02 11:26:39.338876+00:00, NO2 trop col 1.2084e+16, unc 8.0850e+14\n", + "no Small: averaged time 2024-08-02 11:26:39.338876+00:00, NO2 trop col 1.2084e+16, unc 8.0850e+14\n", + "224529846_TEMPO_NO2_L2_V04_20240802T120624Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 7 660 40.820633 -73.940910 1.5207e+16 8.1685e+14 0\n", " 7 661 40.799732 -73.947144 1.7131e+16 7.5120e+14 0\n", @@ -5438,7 +5601,17 @@ "no FV: averaged time 2024-08-02 12:06:46.344804+00:00, NO2 trop col 1.5265e+16, unc 7.9357e+14\n", "no negative: averaged time 2024-08-02 12:06:46.344804+00:00, NO2 trop col 1.5265e+16, unc 7.9357e+14\n", "no Small: averaged time 2024-08-02 12:06:46.344804+00:00, NO2 trop col 1.5265e+16, unc 7.9357e+14\n", - "177649166_TEMPO_NO2_L2_V04_20240802T132634Z_S005G03_subsetted.nc\n", + "224529847_TEMPO_NO2_L2_V04_20240802T124629Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 660 40.819542 -73.895416 1.8746e+16 5.4720e+14 0\n", + " 6 661 40.798649 -73.901672 2.6348e+16 8.5095e+14 0\n", + " 7 660 40.817814 -73.957756 1.1253e+16 5.2843e+14 0\n", + " 7 661 40.796566 -73.964211 1.8596e+16 7.7406e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-02 12:46:50.555932+00:00, NO2 trop col 1.3219e+16, unc 5.7057e+14\n", + "no negative: averaged time 2024-08-02 12:46:50.555932+00:00, NO2 trop col 1.3219e+16, unc 5.7057e+14\n", + "no Small: averaged time 2024-08-02 12:46:50.555932+00:00, NO2 trop col 1.3219e+16, unc 5.7057e+14\n", + "224529848_TEMPO_NO2_L2_V04_20240802T132634Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.818817 -73.928726 2.1695e+16 5.5546e+14 0\n", " 6 661 40.797794 -73.935059 3.2221e+16 1.2252e+15 0\n", @@ -5448,7 +5621,17 @@ "no FV: averaged time 2024-08-02 13:26:53.932192+00:00, NO2 trop col 2.1003e+16, unc 6.3397e+14\n", "no negative: averaged time 2024-08-02 13:26:53.932192+00:00, NO2 trop col 2.1003e+16, unc 6.3397e+14\n", "no Small: averaged time 2024-08-02 13:26:53.932192+00:00, NO2 trop col 2.1003e+16, unc 6.3397e+14\n", - "177649167_TEMPO_NO2_L2_V04_20240802T140642Z_S006G03_subsetted.nc\n", + "224529850_TEMPO_NO2_L2_V04_20240802T150642Z_S007G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.829762 -73.924515 4.5937e+16 3.4877e+15 0\n", + " 5 660 40.808796 -73.930809 2.9693e+16 4.7087e+15 0\n", + " 6 659 40.826542 -73.987587 3.6553e+16 2.6560e+15 0\n", + " 6 660 40.805809 -73.993706 2.9603e+16 4.3112e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-02 15:06:58.972371+00:00, NO2 trop col 3.2332e+16, unc 3.9747e+15\n", + "no negative: averaged time 2024-08-02 15:06:58.972371+00:00, NO2 trop col 3.2332e+16, unc 3.9747e+15\n", + "no Small: averaged time 2024-08-02 15:06:58.972371+00:00, NO2 trop col 3.2332e+16, unc 3.9747e+15\n", + "224529849_TEMPO_NO2_L2_V04_20240802T140642Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 660 40.818451 -73.934731 3.0994e+16 7.9486e+14 0\n", " 5 661 40.797447 -73.941032 2.0801e+16 5.0025e+14 0\n", @@ -5458,7 +5641,7 @@ "no FV: averaged time 2024-08-02 14:06:58.653364+00:00, NO2 trop col 2.5944e+16, unc 7.0546e+14\n", "no negative: averaged time 2024-08-02 14:06:58.653364+00:00, NO2 trop col 2.5944e+16, unc 7.0546e+14\n", "no Small: averaged time 2024-08-02 14:06:58.653364+00:00, NO2 trop col 2.5944e+16, unc 7.0546e+14\n", - "177649169_TEMPO_NO2_L2_V04_20240802T160642Z_S008G03_subsetted.nc\n", + "224529851_TEMPO_NO2_L2_V04_20240802T160642Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.830086 -73.905952 1.9395e+16 2.1241e+15 0\n", " 5 660 40.809013 -73.912315 1.8984e+16 3.5299e+15 0\n", @@ -5468,27 +5651,7 @@ "no FV: averaged time 2024-08-02 16:06:59.904308+00:00, NO2 trop col 2.6821e+16, unc 7.4478e+15\n", "no negative: averaged time 2024-08-02 16:06:59.904308+00:00, NO2 trop col 2.6821e+16, unc 7.4478e+15\n", "no Small: averaged time 2024-08-02 16:06:59.904308+00:00, NO2 trop col 2.6821e+16, unc 7.4478e+15\n", - "177649168_TEMPO_NO2_L2_V04_20240802T150642Z_S007G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.829762 -73.924515 4.5937e+16 3.4877e+15 0\n", - " 5 660 40.808796 -73.930809 2.9693e+16 4.7087e+15 0\n", - " 6 659 40.826542 -73.987587 3.6553e+16 2.6560e+15 0\n", - " 6 660 40.805809 -73.993706 2.9603e+16 4.3112e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-02 15:06:58.972371+00:00, NO2 trop col 3.2332e+16, unc 3.9747e+15\n", - "no negative: averaged time 2024-08-02 15:06:58.972371+00:00, NO2 trop col 3.2332e+16, unc 3.9747e+15\n", - "no Small: averaged time 2024-08-02 15:06:58.972371+00:00, NO2 trop col 3.2332e+16, unc 3.9747e+15\n", - "177649170_TEMPO_NO2_L2_V04_20240802T170642Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.820431 -73.895226 1.9440e+15 6.9248e+15 0\n", - " 5 661 40.799561 -73.901474 1.4572e+15 5.2143e+15 0\n", - " 6 660 40.818058 -73.957718 3.7387e+15 3.1259e+15 0\n", - " 6 661 40.796833 -73.964157 3.5961e+15 2.4070e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-02 17:07:00.560551+00:00, NO2 trop col 3.4393e+15, unc 3.3860e+15\n", - "no negative: averaged time 2024-08-02 17:07:00.560551+00:00, NO2 trop col 3.4393e+15, unc 3.3860e+15\n", - "no Small: averaged time 2024-08-02 17:07:00.955508+00:00, NO2 trop col 3.6674e+15, unc 2.7665e+15\n", - "177649171_TEMPO_NO2_L2_V04_20240802T180642Z_S010G03_subsetted.nc\n", + "224529853_TEMPO_NO2_L2_V04_20240802T180642Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.827389 -73.905968 6.3552e+15 1.1237e+15 0\n", " 5 660 40.806343 -73.912323 5.6871e+15 1.3797e+15 0\n", @@ -5498,17 +5661,17 @@ "no FV: averaged time 2024-08-02 18:06:59.945255+00:00, NO2 trop col 7.1872e+15, unc 1.2185e+15\n", "no negative: averaged time 2024-08-02 18:06:59.945255+00:00, NO2 trop col 7.1872e+15, unc 1.2185e+15\n", "no Small: averaged time 2024-08-02 18:06:59.945255+00:00, NO2 trop col 7.1872e+15, unc 1.2185e+15\n", - "177649174_TEMPO_NO2_L2_V04_20240802T210642Z_S013G03_subsetted.nc\n", + "224529852_TEMPO_NO2_L2_V04_20240802T170642Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.823059 -73.923347 6.9732e+15 5.8593e+15 0\n", - " 6 660 40.802204 -73.929565 3.2805e+15 2.8801e+15 0\n", - " 7 659 40.820381 -73.985634 4.6789e+15 6.5514e+15 0\n", - " 7 660 40.799911 -73.991600 6.0128e+15 3.9077e+15 0\n", + " 5 660 40.820431 -73.895226 1.9440e+15 6.9248e+15 0\n", + " 5 661 40.799561 -73.901474 1.4572e+15 5.2143e+15 0\n", + " 6 660 40.818058 -73.957718 3.7387e+15 3.1259e+15 0\n", + " 6 661 40.796833 -73.964157 3.5961e+15 2.4070e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-02 21:07:02.175494+00:00, NO2 trop col 4.8640e+15, unc 5.1850e+15\n", - "no negative: averaged time 2024-08-02 21:07:02.175494+00:00, NO2 trop col 4.8640e+15, unc 5.1850e+15\n", - "no Small: averaged time 2024-08-02 21:07:01.961255+00:00, NO2 trop col 5.4222e+15, unc 4.2157e+15\n", - "177649172_TEMPO_NO2_L2_V04_20240802T190642Z_S011G03_subsetted.nc\n", + "no FV: averaged time 2024-08-02 17:07:00.560551+00:00, NO2 trop col 3.4393e+15, unc 3.3860e+15\n", + "no negative: averaged time 2024-08-02 17:07:00.560551+00:00, NO2 trop col 3.4393e+15, unc 3.3860e+15\n", + "no Small: averaged time 2024-08-02 17:07:00.955508+00:00, NO2 trop col 3.6674e+15, unc 2.7665e+15\n", + "224529854_TEMPO_NO2_L2_V04_20240802T190642Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.834900 -73.929329 7.9966e+15 1.9660e+15 0\n", " 6 660 40.814137 -73.935493 7.2303e+15 8.2450e+14 0\n", @@ -5518,7 +5681,7 @@ "no FV: averaged time 2024-08-02 19:07:01.714546+00:00, NO2 trop col 7.1040e+15, unc 9.7489e+14\n", "no negative: averaged time 2024-08-02 19:07:01.714546+00:00, NO2 trop col 7.1040e+15, unc 9.7489e+14\n", "no Small: averaged time 2024-08-02 19:07:01.714546+00:00, NO2 trop col 7.1040e+15, unc 9.7489e+14\n", - "177649173_TEMPO_NO2_L2_V04_20240802T200642Z_S012G03_subsetted.nc\n", + "224529855_TEMPO_NO2_L2_V04_20240802T200642Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.818474 -73.920296 3.2672e+15 2.5433e+15 0\n", " 6 661 40.797615 -73.926529 3.2577e+15 2.9180e+15 0\n", @@ -5528,7 +5691,17 @@ "no FV: averaged time 2024-08-02 20:07:02.384514+00:00, NO2 trop col 4.8245e+15, unc 3.2061e+15\n", "no negative: averaged time 2024-08-02 20:07:02.384514+00:00, NO2 trop col 4.8245e+15, unc 3.2061e+15\n", "no Small: averaged time 2024-08-02 20:07:02.384514+00:00, NO2 trop col 4.8245e+15, unc 3.2061e+15\n", - "177649175_TEMPO_NO2_L2_V04_20240802T220642Z_S014G03_subsetted.nc\n", + "224529856_TEMPO_NO2_L2_V04_20240802T210642Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.823059 -73.923347 6.9732e+15 5.8593e+15 0\n", + " 6 660 40.802204 -73.929565 3.2805e+15 2.8801e+15 0\n", + " 7 659 40.820381 -73.985634 4.6789e+15 6.5514e+15 0\n", + " 7 660 40.799911 -73.991600 6.0128e+15 3.9077e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-02 21:07:02.175494+00:00, NO2 trop col 4.8640e+15, unc 5.1850e+15\n", + "no negative: averaged time 2024-08-02 21:07:02.175494+00:00, NO2 trop col 4.8640e+15, unc 5.1850e+15\n", + "no Small: averaged time 2024-08-02 21:07:01.961255+00:00, NO2 trop col 5.4222e+15, unc 4.2157e+15\n", + "224529857_TEMPO_NO2_L2_V04_20240802T220642Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.836609 -73.886063 4.0303e+15 3.9005e+15 0\n", " 6 661 40.815651 -73.892365 1.1897e+16 5.1412e+15 0\n", @@ -5538,7 +5711,7 @@ "no FV: averaged time 2024-08-02 22:07:03.807412+00:00, NO2 trop col 5.7326e+15, unc 5.0830e+15\n", "no negative: averaged time 2024-08-02 22:07:03.807412+00:00, NO2 trop col 5.7326e+15, unc 5.0830e+15\n", "no Small: averaged time 2024-08-02 22:07:01.962160+00:00, NO2 trop col 7.1133e+15, unc 4.6746e+15\n", - "jobID = cbd004aa-bbe1-4ce2-b9cb-1271a84c190f\n" + "jobID = 51ab5ae2-b57a-4812-bc38-ae13e4ac803e\n" ] }, { @@ -5552,20 +5725,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177649449_TEMPO_NO2_L2_V04_20240803T104630Z_S001G03_subsetted.nc\n", - "./177649450_TEMPO_NO2_L2_V04_20240803T112635Z_S002G03_subsetted.nc\n", - "./177649451_TEMPO_NO2_L2_V04_20240803T120640Z_S003G03_subsetted.nc\n", - "./177649452_TEMPO_NO2_L2_V04_20240803T124645Z_S004G03_subsetted.nc\n", - "./177649453_TEMPO_NO2_L2_V04_20240803T132650Z_S005G03_subsetted.nc\n", - "./177649455_TEMPO_NO2_L2_V04_20240803T170658Z_S008G03_subsetted.nc\n", - "./177649454_TEMPO_NO2_L2_V04_20240803T140711Z_S006G03_subsetted.nc\n", - "./177649456_TEMPO_NO2_L2_V04_20240803T180658Z_S009G03_subsetted.nc\n", - "./177649457_TEMPO_NO2_L2_V04_20240803T190658Z_S010G03_subsetted.nc\n", - "./177649460_TEMPO_NO2_L2_V04_20240803T220658Z_S013G03_subsetted.nc\n", - "./177649459_TEMPO_NO2_L2_V04_20240803T210658Z_S012G03_subsetted.nc\n", - "./177649458_TEMPO_NO2_L2_V04_20240803T200658Z_S011G03_subsetted.nc\n", + "./224530312_TEMPO_NO2_L2_V04_20240803T104630Z_S001G03_subsetted.nc\n", + "./224530313_TEMPO_NO2_L2_V04_20240803T112635Z_S002G03_subsetted.nc\n", + "./224530314_TEMPO_NO2_L2_V04_20240803T120640Z_S003G03_subsetted.nc\n", + "./224530315_TEMPO_NO2_L2_V04_20240803T124645Z_S004G03_subsetted.nc\n", + "./224530316_TEMPO_NO2_L2_V04_20240803T132650Z_S005G03_subsetted.nc\n", + "./224530317_TEMPO_NO2_L2_V04_20240803T140711Z_S006G03_subsetted.nc\n", + "./224530320_TEMPO_NO2_L2_V04_20240803T190658Z_S010G03_subsetted.nc\n", + "./224530319_TEMPO_NO2_L2_V04_20240803T180658Z_S009G03_subsetted.nc\n", + "./224530318_TEMPO_NO2_L2_V04_20240803T170658Z_S008G03_subsetted.nc\n", + "./224530321_TEMPO_NO2_L2_V04_20240803T200658Z_S011G03_subsetted.nc\n", + "./224530322_TEMPO_NO2_L2_V04_20240803T210658Z_S012G03_subsetted.nc\n", + "./224530323_TEMPO_NO2_L2_V04_20240803T220658Z_S013G03_subsetted.nc\n", "Number of result files: 12\n", - "177649449_TEMPO_NO2_L2_V04_20240803T104630Z_S001G03_subsetted.nc\n", + "224530312_TEMPO_NO2_L2_V04_20240803T104630Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.823723 -73.890396 7.6905e+15 9.4763e+14 1\n", " 6 660 40.802822 -73.896645 6.7187e+15 1.1631e+15 1\n", @@ -5575,7 +5748,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649450_TEMPO_NO2_L2_V04_20240803T112635Z_S002G03_subsetted.nc\n", + "224530313_TEMPO_NO2_L2_V04_20240803T112635Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 658 40.835316 -73.929359 4.6639e+15 5.9175e+14 0\n", " 6 659 40.814533 -73.935516 6.9514e+15 6.5652e+14 0\n", @@ -5585,7 +5758,7 @@ "no FV: averaged time 2024-08-03 11:26:54.670190+00:00, NO2 trop col 6.8229e+15, unc 6.6769e+14\n", "no negative: averaged time 2024-08-03 11:26:54.670190+00:00, NO2 trop col 6.8229e+15, unc 6.6769e+14\n", "no Small: averaged time 2024-08-03 11:26:54.670190+00:00, NO2 trop col 6.8229e+15, unc 6.6769e+14\n", - "177649451_TEMPO_NO2_L2_V04_20240803T120640Z_S003G03_subsetted.nc\n", + "224530314_TEMPO_NO2_L2_V04_20240803T120640Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 7 660 40.819279 -73.937141 5.4068e+15 4.9930e+14 0\n", " 7 661 40.798294 -73.943436 5.5371e+15 5.2541e+14 0\n", @@ -5595,7 +5768,7 @@ "no FV: averaged time 2024-08-03 12:07:02.559550+00:00, NO2 trop col 5.5945e+15, unc 5.3772e+14\n", "no negative: averaged time 2024-08-03 12:07:02.559550+00:00, NO2 trop col 5.5945e+15, unc 5.3772e+14\n", "no Small: averaged time 2024-08-03 12:07:02.559550+00:00, NO2 trop col 5.5945e+15, unc 5.3772e+14\n", - "177649452_TEMPO_NO2_L2_V04_20240803T124645Z_S004G03_subsetted.nc\n", + "224530315_TEMPO_NO2_L2_V04_20240803T124645Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.821178 -73.923042 6.7711e+15 5.8517e+14 0\n", " 6 661 40.800316 -73.929268 7.2169e+15 5.7543e+14 0\n", @@ -5605,7 +5778,7 @@ "no FV: averaged time 2024-08-03 12:47:05.190786+00:00, NO2 trop col 6.9538e+15, unc 7.5165e+14\n", "no negative: averaged time 2024-08-03 12:47:05.190786+00:00, NO2 trop col 6.9538e+15, unc 7.5165e+14\n", "no Small: averaged time 2024-08-03 12:47:05.190786+00:00, NO2 trop col 6.9538e+15, unc 7.5165e+14\n", - "177649453_TEMPO_NO2_L2_V04_20240803T132650Z_S005G03_subsetted.nc\n", + "224530316_TEMPO_NO2_L2_V04_20240803T132650Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.833897 -73.925568 5.0552e+15 6.2332e+14 0\n", " 6 660 40.813065 -73.931770 6.3347e+15 6.4261e+14 0\n", @@ -5615,17 +5788,7 @@ "no FV: averaged time 2024-08-03 13:27:09.891115+00:00, NO2 trop col 5.8000e+15, unc 6.7468e+14\n", "no negative: averaged time 2024-08-03 13:27:09.891115+00:00, NO2 trop col 5.8000e+15, unc 6.7468e+14\n", "no Small: averaged time 2024-08-03 13:27:09.891115+00:00, NO2 trop col 5.8000e+15, unc 6.7468e+14\n", - "177649455_TEMPO_NO2_L2_V04_20240803T170658Z_S008G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.833450 -73.942596 5.6722e+15 3.8058e+15 0\n", - " 6 660 40.812435 -73.948921 6.0651e+15 6.3540e+15 0\n", - " 7 659 40.831871 -74.004692 3.9174e+15 3.6801e+15 0\n", - " 7 660 40.810879 -74.010979 5.9288e+15 2.5598e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-03 17:07:17.069822+00:00, NO2 trop col 5.9409e+15, unc 5.9941e+15\n", - "no negative: averaged time 2024-08-03 17:07:17.069822+00:00, NO2 trop col 5.9409e+15, unc 5.9941e+15\n", - "no Small: averaged time 2024-08-03 17:07:18.971716+00:00, NO2 trop col 5.1728e+15, unc 3.3485e+15\n", - "177649454_TEMPO_NO2_L2_V04_20240803T140711Z_S006G03_subsetted.nc\n", + "224530317_TEMPO_NO2_L2_V04_20240803T140711Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 1 659 40.829708 -73.927315 1.0498e+16 1.0971e+15 0\n", " 1 660 40.808693 -73.933624 5.9919e+15 6.9961e+14 0\n", @@ -5635,7 +5798,17 @@ "no FV: averaged time 2024-08-03 14:07:15.846138+00:00, NO2 trop col 5.6851e+15, unc 7.4796e+14\n", "no negative: averaged time 2024-08-03 14:07:15.846138+00:00, NO2 trop col 5.6851e+15, unc 7.4796e+14\n", "no Small: averaged time 2024-08-03 14:07:15.846138+00:00, NO2 trop col 5.6851e+15, unc 7.4796e+14\n", - "177649456_TEMPO_NO2_L2_V04_20240803T180658Z_S009G03_subsetted.nc\n", + "224530320_TEMPO_NO2_L2_V04_20240803T190658Z_S010G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.819374 -73.931076 8.9610e+15 8.5981e+14 0\n", + " 6 660 40.798363 -73.937393 6.5216e+15 1.2418e+15 0\n", + " 7 659 40.816418 -73.993774 6.0771e+15 3.5092e+15 0\n", + " 7 660 40.795395 -74.000069 3.8421e+15 1.1539e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-03 19:07:17.853249+00:00, NO2 trop col 7.7399e+15, unc 1.6982e+15\n", + "no negative: averaged time 2024-08-03 19:07:17.853249+00:00, NO2 trop col 7.7399e+15, unc 1.6982e+15\n", + "no Small: averaged time 2024-08-03 19:07:17.853249+00:00, NO2 trop col 7.7399e+15, unc 1.6982e+15\n", + "224530319_TEMPO_NO2_L2_V04_20240803T180658Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.827671 -73.932968 9.3799e+15 2.2021e+15 0\n", " 6 660 40.806744 -73.939240 1.1288e+16 5.6483e+15 0\n", @@ -5645,27 +5818,27 @@ "no FV: averaged time 2024-08-03 18:07:17.652127+00:00, NO2 trop col 9.7605e+15, unc 4.4441e+15\n", "no negative: averaged time 2024-08-03 18:07:17.652127+00:00, NO2 trop col 9.7605e+15, unc 4.4441e+15\n", "no Small: averaged time 2024-08-03 18:07:17.652127+00:00, NO2 trop col 9.7605e+15, unc 4.4441e+15\n", - "177649457_TEMPO_NO2_L2_V04_20240803T190658Z_S010G03_subsetted.nc\n", + "224530318_TEMPO_NO2_L2_V04_20240803T170658Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.819374 -73.931076 8.9610e+15 8.5981e+14 0\n", - " 6 660 40.798363 -73.937393 6.5216e+15 1.2418e+15 0\n", - " 7 659 40.816418 -73.993774 6.0771e+15 3.5092e+15 0\n", - " 7 660 40.795395 -74.000069 3.8421e+15 1.1539e+15 0\n", + " 6 659 40.833450 -73.942596 5.6722e+15 3.8058e+15 0\n", + " 6 660 40.812435 -73.948921 6.0651e+15 6.3540e+15 0\n", + " 7 659 40.831871 -74.004692 3.9174e+15 3.6801e+15 0\n", + " 7 660 40.810879 -74.010979 5.9288e+15 2.5598e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-03 19:07:17.853249+00:00, NO2 trop col 7.7399e+15, unc 1.6982e+15\n", - "no negative: averaged time 2024-08-03 19:07:17.853249+00:00, NO2 trop col 7.7399e+15, unc 1.6982e+15\n", - "no Small: averaged time 2024-08-03 19:07:17.853249+00:00, NO2 trop col 7.7399e+15, unc 1.6982e+15\n", - "177649460_TEMPO_NO2_L2_V04_20240803T220658Z_S013G03_subsetted.nc\n", + "no FV: averaged time 2024-08-03 17:07:17.069822+00:00, NO2 trop col 5.9409e+15, unc 5.9941e+15\n", + "no negative: averaged time 2024-08-03 17:07:17.069822+00:00, NO2 trop col 5.9409e+15, unc 5.9941e+15\n", + "no Small: averaged time 2024-08-03 17:07:18.971716+00:00, NO2 trop col 5.1728e+15, unc 3.3485e+15\n", + "224530321_TEMPO_NO2_L2_V04_20240803T200658Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.831989 -73.913239 4.6871e+15 2.7475e+15 0\n", - " 6 660 40.811069 -73.919495 6.7907e+15 3.5408e+15 0\n", - " 7 659 40.829620 -73.975815 3.3207e+15 3.4692e+15 0\n", - " 7 660 40.809002 -73.981865 3.1211e+15 1.8979e+15 0\n", + " 6 659 40.826424 -73.915764 7.3353e+15 4.9562e+15 0\n", + " 6 660 40.805508 -73.922028 5.6258e+15 2.1726e+15 0\n", + " 7 659 40.823711 -73.978706 2.7041e+15 3.7048e+15 0\n", + " 7 660 40.803391 -73.984573 2.4987e+15 6.8777e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-03 22:07:18.540088+00:00, NO2 trop col 4.9262e+15, unc 3.0877e+15\n", - "no negative: averaged time 2024-08-03 22:07:18.540088+00:00, NO2 trop col 4.9262e+15, unc 3.0877e+15\n", - "no Small: averaged time 2024-08-03 22:07:18.541554+00:00, NO2 trop col 4.3390e+15, unc 2.4809e+15\n", - "177649459_TEMPO_NO2_L2_V04_20240803T210658Z_S012G03_subsetted.nc\n", + "no FV: averaged time 2024-08-03 20:07:18.493812+00:00, NO2 trop col 4.1972e+15, unc 3.0257e+15\n", + "no negative: averaged time 2024-08-03 20:07:18.493812+00:00, NO2 trop col 4.1972e+15, unc 3.0257e+15\n", + "no Small: averaged time 2024-08-03 20:07:16.960673+00:00, NO2 trop col 6.4805e+15, unc 3.5644e+15\n", + "224530322_TEMPO_NO2_L2_V04_20240803T210658Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.828167 -73.918266 1.2373e+16 2.4706e+15 0\n", " 6 660 40.807247 -73.924538 4.3351e+15 3.4681e+15 0\n", @@ -5675,17 +5848,17 @@ "no FV: averaged time 2024-08-03 21:07:18.367968+00:00, NO2 trop col 3.9760e+15, unc 7.9232e+15\n", "no negative: averaged time 2024-08-03 21:07:17.969712+00:00, NO2 trop col 6.8235e+15, unc 6.3491e+15\n", "no Small: averaged time 2024-08-03 21:07:16.958693+00:00, NO2 trop col 8.3539e+15, unc 2.9694e+15\n", - "177649458_TEMPO_NO2_L2_V04_20240803T200658Z_S011G03_subsetted.nc\n", + "224530323_TEMPO_NO2_L2_V04_20240803T220658Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.826424 -73.915764 7.3353e+15 4.9562e+15 0\n", - " 6 660 40.805508 -73.922028 5.6258e+15 2.1726e+15 0\n", - " 7 659 40.823711 -73.978706 2.7041e+15 3.7048e+15 0\n", - " 7 660 40.803391 -73.984573 2.4987e+15 6.8777e+15 0\n", + " 6 659 40.831989 -73.913239 4.6871e+15 2.7475e+15 0\n", + " 6 660 40.811069 -73.919495 6.7907e+15 3.5408e+15 0\n", + " 7 659 40.829620 -73.975815 3.3207e+15 3.4692e+15 0\n", + " 7 660 40.809002 -73.981865 3.1211e+15 1.8979e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-03 20:07:18.493812+00:00, NO2 trop col 4.1972e+15, unc 3.0257e+15\n", - "no negative: averaged time 2024-08-03 20:07:18.493812+00:00, NO2 trop col 4.1972e+15, unc 3.0257e+15\n", - "no Small: averaged time 2024-08-03 20:07:16.960673+00:00, NO2 trop col 6.4805e+15, unc 3.5644e+15\n", - "jobID = f802beda-278e-4c0d-ac00-e8c98441e2b2\n" + "no FV: averaged time 2024-08-03 22:07:18.540088+00:00, NO2 trop col 4.9262e+15, unc 3.0877e+15\n", + "no negative: averaged time 2024-08-03 22:07:18.540088+00:00, NO2 trop col 4.9262e+15, unc 3.0877e+15\n", + "no Small: averaged time 2024-08-03 22:07:18.541554+00:00, NO2 trop col 4.3390e+15, unc 2.4809e+15\n", + "jobID = 7a33feea-98fa-4671-a287-0980639d8228\n" ] }, { @@ -5699,22 +5872,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177649626_TEMPO_NO2_L2_V04_20240804T104644Z_S001G03_subsetted.nc\n", - "./177649627_TEMPO_NO2_L2_V04_20240804T112649Z_S002G03_subsetted.nc\n", - "./177649629_TEMPO_NO2_L2_V04_20240804T124659Z_S004G03_subsetted.nc\n", - "./177649628_TEMPO_NO2_L2_V04_20240804T120654Z_S003G03_subsetted.nc\n", - "./177649630_TEMPO_NO2_L2_V04_20240804T132704Z_S005G03_subsetted.nc\n", - "./177649632_TEMPO_NO2_L2_V04_20240804T150712Z_S007G03_subsetted.nc\n", - "./177649631_TEMPO_NO2_L2_V04_20240804T140712Z_S006G03_subsetted.nc\n", - "./177649633_TEMPO_NO2_L2_V04_20240804T160712Z_S008G03_subsetted.nc\n", - "./177649635_TEMPO_NO2_L2_V04_20240804T180712Z_S010G03_subsetted.nc\n", - "./177649637_TEMPO_NO2_L2_V04_20240804T200712Z_S012G03_subsetted.nc\n", - "./177649636_TEMPO_NO2_L2_V04_20240804T190712Z_S011G03_subsetted.nc\n", - "./177649634_TEMPO_NO2_L2_V04_20240804T170712Z_S009G03_subsetted.nc\n", - "./177649638_TEMPO_NO2_L2_V04_20240804T210712Z_S013G03_subsetted.nc\n", - "./177649639_TEMPO_NO2_L2_V04_20240804T220712Z_S014G03_subsetted.nc\n", + "./224530637_TEMPO_NO2_L2_V04_20240804T104644Z_S001G03_subsetted.nc\n", + "./224530640_TEMPO_NO2_L2_V04_20240804T124659Z_S004G03_subsetted.nc\n", + "./224530639_TEMPO_NO2_L2_V04_20240804T120654Z_S003G03_subsetted.nc\n", + "./224530638_TEMPO_NO2_L2_V04_20240804T112649Z_S002G03_subsetted.nc\n", + "./224530641_TEMPO_NO2_L2_V04_20240804T132704Z_S005G03_subsetted.nc\n", + "./224530644_TEMPO_NO2_L2_V04_20240804T160712Z_S008G03_subsetted.nc\n", + "./224530642_TEMPO_NO2_L2_V04_20240804T140712Z_S006G03_subsetted.nc\n", + "./224530643_TEMPO_NO2_L2_V04_20240804T150712Z_S007G03_subsetted.nc\n", + "./224530645_TEMPO_NO2_L2_V04_20240804T170712Z_S009G03_subsetted.nc\n", + "./224530647_TEMPO_NO2_L2_V04_20240804T190712Z_S011G03_subsetted.nc\n", + "./224530646_TEMPO_NO2_L2_V04_20240804T180712Z_S010G03_subsetted.nc\n", + "./224530648_TEMPO_NO2_L2_V04_20240804T200712Z_S012G03_subsetted.nc\n", + "./224530649_TEMPO_NO2_L2_V04_20240804T210712Z_S013G03_subsetted.nc\n", + "./224530650_TEMPO_NO2_L2_V04_20240804T220712Z_S014G03_subsetted.nc\n", "Number of result files: 14\n", - "177649626_TEMPO_NO2_L2_V04_20240804T104644Z_S001G03_subsetted.nc\n", + "224530637_TEMPO_NO2_L2_V04_20240804T104644Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 658 40.837646 -73.898079 7.5354e+15 2.1071e+15 1\n", " 6 659 40.816624 -73.904427 9.1679e+15 1.1645e+15 1\n", @@ -5724,17 +5897,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649627_TEMPO_NO2_L2_V04_20240804T112649Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 658 40.838131 -73.885979 9.0056e+15 1.4111e+15 0\n", - " 5 659 40.817154 -73.892288 7.0267e+15 1.2316e+15 0\n", - " 6 658 40.835217 -73.948311 7.5761e+15 2.0169e+15 0\n", - " 6 659 40.814297 -73.954552 7.2139e+15 1.3997e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-04 11:27:07.742464+00:00, NO2 trop col 7.2168e+15, unc 1.4139e+15\n", - "no negative: averaged time 2024-08-04 11:27:07.742464+00:00, NO2 trop col 7.2168e+15, unc 1.4139e+15\n", - "no Small: averaged time 2024-08-04 11:27:07.742464+00:00, NO2 trop col 7.2168e+15, unc 1.4139e+15\n", - "177649629_TEMPO_NO2_L2_V04_20240804T124659Z_S004G03_subsetted.nc\n", + "224530640_TEMPO_NO2_L2_V04_20240804T124659Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.828087 -73.932579 7.3323e+15 1.5839e+15 0\n", " 6 660 40.807133 -73.938858 5.7715e+15 1.4981e+15 0\n", @@ -5744,7 +5907,7 @@ "no FV: averaged time 2024-08-04 12:47:18.613832+00:00, NO2 trop col 6.0093e+15, unc 1.4831e+15\n", "no negative: averaged time 2024-08-04 12:47:18.613832+00:00, NO2 trop col 6.0093e+15, unc 1.4831e+15\n", "no Small: averaged time 2024-08-04 12:47:18.613832+00:00, NO2 trop col 6.0093e+15, unc 1.4831e+15\n", - "177649628_TEMPO_NO2_L2_V04_20240804T120654Z_S003G03_subsetted.nc\n", + "224530639_TEMPO_NO2_L2_V04_20240804T120654Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.836578 -73.897949 7.9493e+15 1.7632e+15 0\n", " 6 660 40.815533 -73.904297 7.4278e+15 1.1974e+15 0\n", @@ -5754,7 +5917,17 @@ "no FV: averaged time 2024-08-04 12:07:15.222486+00:00, NO2 trop col 7.6368e+15, unc 1.1179e+15\n", "no negative: averaged time 2024-08-04 12:07:15.222486+00:00, NO2 trop col 7.6368e+15, unc 1.1179e+15\n", "no Small: averaged time 2024-08-04 12:07:15.222486+00:00, NO2 trop col 7.6368e+15, unc 1.1179e+15\n", - "177649630_TEMPO_NO2_L2_V04_20240804T132704Z_S005G03_subsetted.nc\n", + "224530638_TEMPO_NO2_L2_V04_20240804T112649Z_S002G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 658 40.838131 -73.885979 9.0056e+15 1.4111e+15 0\n", + " 5 659 40.817154 -73.892288 7.0267e+15 1.2316e+15 0\n", + " 6 658 40.835217 -73.948311 7.5761e+15 2.0169e+15 0\n", + " 6 659 40.814297 -73.954552 7.2139e+15 1.3997e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-04 11:27:07.742464+00:00, NO2 trop col 7.2168e+15, unc 1.4139e+15\n", + "no negative: averaged time 2024-08-04 11:27:07.742464+00:00, NO2 trop col 7.2168e+15, unc 1.4139e+15\n", + "no Small: averaged time 2024-08-04 11:27:07.742464+00:00, NO2 trop col 7.2168e+15, unc 1.4139e+15\n", + "224530641_TEMPO_NO2_L2_V04_20240804T132704Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.824688 -73.937653 4.8635e+15 1.8265e+15 0\n", " 6 660 40.803852 -73.943871 6.9793e+15 1.6655e+15 0\n", @@ -5764,17 +5937,17 @@ "no FV: averaged time 2024-08-04 13:27:23.409594+00:00, NO2 trop col 5.9321e+15, unc 1.7850e+15\n", "no negative: averaged time 2024-08-04 13:27:23.409594+00:00, NO2 trop col 5.9321e+15, unc 1.7850e+15\n", "no Small: averaged time 2024-08-04 13:27:23.409594+00:00, NO2 trop col 5.9321e+15, unc 1.7850e+15\n", - "177649632_TEMPO_NO2_L2_V04_20240804T150712Z_S007G03_subsetted.nc\n", + "224530644_TEMPO_NO2_L2_V04_20240804T160712Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.827408 -73.940208 1.0196e+16 3.0540e+15 0\n", - " 5 660 40.806480 -73.946487 5.3375e+15 4.5219e+15 0\n", - " 6 659 40.825626 -74.002312 5.7918e+15 2.9208e+15 0\n", - " 6 660 40.804371 -74.008759 7.8365e+15 2.4191e+15 0\n", + " 5 658 40.834927 -73.932816 6.5453e+15 1.8948e+15 0\n", + " 5 659 40.814144 -73.939003 5.5836e+15 2.6056e+15 0\n", + " 6 658 40.832623 -73.995193 6.6368e+15 1.9294e+15 0\n", + " 6 659 40.811470 -74.001587 5.4438e+15 1.7309e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-04 15:07:28.242674+00:00, NO2 trop col 6.9535e+15, unc 3.8753e+15\n", - "no negative: averaged time 2024-08-04 15:07:28.242674+00:00, NO2 trop col 6.9535e+15, unc 3.8753e+15\n", - "no Small: averaged time 2024-08-04 15:07:28.242674+00:00, NO2 trop col 6.9535e+15, unc 3.8753e+15\n", - "177649631_TEMPO_NO2_L2_V04_20240804T140712Z_S006G03_subsetted.nc\n", + "no FV: averaged time 2024-08-04 16:07:28.509600+00:00, NO2 trop col 5.6509e+15, unc 2.4535e+15\n", + "no negative: averaged time 2024-08-04 16:07:28.509600+00:00, NO2 trop col 5.6509e+15, unc 2.4535e+15\n", + "no Small: averaged time 2024-08-04 16:07:28.509600+00:00, NO2 trop col 5.6509e+15, unc 2.4535e+15\n", + "224530642_TEMPO_NO2_L2_V04_20240804T140712Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.824108 -73.944527 1.1346e+16 1.8311e+15 0\n", " 5 660 40.803066 -73.950859 9.2655e+15 1.9262e+15 0\n", @@ -5784,17 +5957,37 @@ "no FV: averaged time 2024-08-04 14:07:28.082702+00:00, NO2 trop col 1.0335e+16, unc 1.8937e+15\n", "no negative: averaged time 2024-08-04 14:07:28.082702+00:00, NO2 trop col 1.0335e+16, unc 1.8937e+15\n", "no Small: averaged time 2024-08-04 14:07:28.082702+00:00, NO2 trop col 1.0335e+16, unc 1.8937e+15\n", - "177649633_TEMPO_NO2_L2_V04_20240804T160712Z_S008G03_subsetted.nc\n", + "224530643_TEMPO_NO2_L2_V04_20240804T150712Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 658 40.834927 -73.932816 6.5453e+15 1.8948e+15 0\n", - " 5 659 40.814144 -73.939003 5.5836e+15 2.6056e+15 0\n", - " 6 658 40.832623 -73.995193 6.6368e+15 1.9294e+15 0\n", - " 6 659 40.811470 -74.001587 5.4438e+15 1.7309e+15 0\n", + " 5 659 40.827408 -73.940208 1.0196e+16 3.0540e+15 0\n", + " 5 660 40.806480 -73.946487 5.3375e+15 4.5219e+15 0\n", + " 6 659 40.825626 -74.002312 5.7918e+15 2.9208e+15 0\n", + " 6 660 40.804371 -74.008759 7.8365e+15 2.4191e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-04 15:07:28.242674+00:00, NO2 trop col 6.9535e+15, unc 3.8753e+15\n", + "no negative: averaged time 2024-08-04 15:07:28.242674+00:00, NO2 trop col 6.9535e+15, unc 3.8753e+15\n", + "no Small: averaged time 2024-08-04 15:07:28.242674+00:00, NO2 trop col 6.9535e+15, unc 3.8753e+15\n", + "224530645_TEMPO_NO2_L2_V04_20240804T170712Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 660 40.818024 -73.906754 4.5924e+15 2.1969e+15 0\n", + " 5 661 40.797070 -73.913055 4.7422e+15 2.0710e+15 0\n", + " 6 660 40.815434 -73.968933 4.7187e+15 1.7563e+15 0\n", + " 6 661 40.794342 -73.975296 5.9225e+15 2.9784e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-04 17:07:30.042495+00:00, NO2 trop col 4.6872e+15, unc 1.8834e+15\n", + "no negative: averaged time 2024-08-04 17:07:30.042495+00:00, NO2 trop col 4.6872e+15, unc 1.8834e+15\n", + "no Small: averaged time 2024-08-04 17:07:30.042495+00:00, NO2 trop col 4.6872e+15, unc 1.8834e+15\n", + "224530647_TEMPO_NO2_L2_V04_20240804T190712Z_S011G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 658 40.836681 -73.921036 5.8101e+15 3.8371e+15 0\n", + " 5 659 40.815914 -73.927216 4.2242e+15 6.9611e+15 0\n", + " 6 658 40.834015 -73.982605 7.9122e+15 5.3164e+15 0\n", + " 6 659 40.812923 -73.988960 9.2183e+15 6.3866e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-04 16:07:28.509600+00:00, NO2 trop col 5.6509e+15, unc 2.4535e+15\n", - "no negative: averaged time 2024-08-04 16:07:28.509600+00:00, NO2 trop col 5.6509e+15, unc 2.4535e+15\n", - "no Small: averaged time 2024-08-04 16:07:28.509600+00:00, NO2 trop col 5.6509e+15, unc 2.4535e+15\n", - "177649635_TEMPO_NO2_L2_V04_20240804T180712Z_S010G03_subsetted.nc\n", + "no FV: averaged time 2024-08-04 19:07:29.069773+00:00, NO2 trop col 6.0880e+15, unc 6.7165e+15\n", + "no negative: averaged time 2024-08-04 19:07:29.069773+00:00, NO2 trop col 6.0880e+15, unc 6.7165e+15\n", + "no Small: averaged time 2024-08-04 19:07:29.940308+00:00, NO2 trop col 7.6468e+15, unc 5.1800e+15\n", + "224530646_TEMPO_NO2_L2_V04_20240804T180712Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.819061 -73.920120 8.1881e+15 1.9892e+15 0\n", " 5 660 40.798203 -73.926353 1.1179e+16 2.2904e+15 0\n", @@ -5804,7 +5997,7 @@ "no FV: averaged time 2024-08-04 18:07:29.360614+00:00, NO2 trop col 5.1742e+15, unc 8.7586e+15\n", "no negative: averaged time 2024-08-04 18:07:29.360614+00:00, NO2 trop col 5.1742e+15, unc 8.7586e+15\n", "no Small: averaged time 2024-08-04 18:07:27.922055+00:00, NO2 trop col 9.6836e+15, unc 2.1398e+15\n", - "177649637_TEMPO_NO2_L2_V04_20240804T200712Z_S012G03_subsetted.nc\n", + "224530648_TEMPO_NO2_L2_V04_20240804T200712Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.835155 -73.885307 4.8408e+15 6.2984e+15 0\n", " 5 660 40.814167 -73.891632 6.6961e+15 4.5858e+15 0\n", @@ -5814,27 +6007,7 @@ "no FV: averaged time 2024-08-04 20:07:30.827514+00:00, NO2 trop col 7.7118e+15, unc 8.1456e+15\n", "no negative: averaged time 2024-08-04 20:07:30.827514+00:00, NO2 trop col 7.7118e+15, unc 8.1456e+15\n", "no Small: averaged time 2024-08-04 20:07:29.435153+00:00, NO2 trop col 7.4968e+15, unc 6.0106e+15\n", - "177649636_TEMPO_NO2_L2_V04_20240804T190712Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 658 40.836681 -73.921036 5.8101e+15 3.8371e+15 0\n", - " 5 659 40.815914 -73.927216 4.2242e+15 6.9611e+15 0\n", - " 6 658 40.834015 -73.982605 7.9122e+15 5.3164e+15 0\n", - " 6 659 40.812923 -73.988960 9.2183e+15 6.3866e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-04 19:07:29.069773+00:00, NO2 trop col 6.0880e+15, unc 6.7165e+15\n", - "no negative: averaged time 2024-08-04 19:07:29.069773+00:00, NO2 trop col 6.0880e+15, unc 6.7165e+15\n", - "no Small: averaged time 2024-08-04 19:07:29.940308+00:00, NO2 trop col 7.6468e+15, unc 5.1800e+15\n", - "177649634_TEMPO_NO2_L2_V04_20240804T170712Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.818024 -73.906754 4.5924e+15 2.1969e+15 0\n", - " 5 661 40.797070 -73.913055 4.7422e+15 2.0710e+15 0\n", - " 6 660 40.815434 -73.968933 4.7187e+15 1.7563e+15 0\n", - " 6 661 40.794342 -73.975296 5.9225e+15 2.9784e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-04 17:07:30.042495+00:00, NO2 trop col 4.6872e+15, unc 1.8834e+15\n", - "no negative: averaged time 2024-08-04 17:07:30.042495+00:00, NO2 trop col 4.6872e+15, unc 1.8834e+15\n", - "no Small: averaged time 2024-08-04 17:07:30.042495+00:00, NO2 trop col 4.6872e+15, unc 1.8834e+15\n", - "177649638_TEMPO_NO2_L2_V04_20240804T210712Z_S013G03_subsetted.nc\n", + "224530649_TEMPO_NO2_L2_V04_20240804T210712Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.832558 -73.886307 1.5972e+16 4.3651e+16 0\n", " 5 660 40.811562 -73.892632 1.3609e+16 2.0962e+16 0\n", @@ -5844,7 +6017,7 @@ "no FV: averaged time 2024-08-04 21:07:30.837599+00:00, NO2 trop col 1.0222e+16, unc 2.8963e+16\n", "no negative: averaged time 2024-08-04 21:07:30.837599+00:00, NO2 trop col 1.0222e+16, unc 2.8963e+16\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649639_TEMPO_NO2_L2_V04_20240804T220712Z_S014G03_subsetted.nc\n", + "224530650_TEMPO_NO2_L2_V04_20240804T220712Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.834225 -73.943321 -4.5679e+14 3.9581e+15 0\n", " 6 660 40.813248 -73.949608 -2.1389e+14 5.2710e+15 0\n", @@ -5854,7 +6027,7 @@ "no FV: averaged time 2024-08-04 22:07:31.022755+00:00, NO2 trop col -1.5650e+14, unc 5.0920e+15\n", "no negative: averaged time 2024-08-04 22:07:33.981416+00:00, NO2 trop col 4.8635e+15, unc 2.9559e+15\n", "no Small: averaged time 2024-08-04 22:07:33.981416+00:00, NO2 trop col 4.8635e+15, unc 2.9559e+15\n", - "jobID = c532b9b2-d392-40a0-9230-ef2d3d96671a\n" + "jobID = ee83ed0c-3cb8-42e9-8e06-3ac84424cabb\n" ] }, { @@ -5868,22 +6041,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177649644_TEMPO_NO2_L2_V04_20240805T104659Z_S001G03_subsetted.nc\n", - "./177649646_TEMPO_NO2_L2_V04_20240805T120709Z_S003G03_subsetted.nc\n", - "./177649645_TEMPO_NO2_L2_V04_20240805T112704Z_S002G03_subsetted.nc\n", - "./177649647_TEMPO_NO2_L2_V04_20240805T124714Z_S004G03_subsetted.nc\n", - "./177649648_TEMPO_NO2_L2_V04_20240805T132719Z_S005G03_subsetted.nc\n", - "./177649649_TEMPO_NO2_L2_V04_20240805T140727Z_S006G03_subsetted.nc\n", - "./177649650_TEMPO_NO2_L2_V04_20240805T150727Z_S007G03_subsetted.nc\n", - "./177649651_TEMPO_NO2_L2_V04_20240805T160727Z_S008G03_subsetted.nc\n", - "./177649653_TEMPO_NO2_L2_V04_20240805T180727Z_S010G03_subsetted.nc\n", - "./177649654_TEMPO_NO2_L2_V04_20240805T190727Z_S011G03_subsetted.nc\n", - "./177649652_TEMPO_NO2_L2_V04_20240805T170727Z_S009G03_subsetted.nc\n", - "./177649655_TEMPO_NO2_L2_V04_20240805T200727Z_S012G03_subsetted.nc\n", - "./177649657_TEMPO_NO2_L2_V04_20240805T220727Z_S014G03_subsetted.nc\n", - "./177649656_TEMPO_NO2_L2_V04_20240805T210727Z_S013G03_subsetted.nc\n", + "./224530969_TEMPO_NO2_L2_V04_20240805T104659Z_S001G03_subsetted.nc\n", + "./224530970_TEMPO_NO2_L2_V04_20240805T112704Z_S002G03_subsetted.nc\n", + "./224530971_TEMPO_NO2_L2_V04_20240805T120709Z_S003G03_subsetted.nc\n", + "./224530972_TEMPO_NO2_L2_V04_20240805T124714Z_S004G03_subsetted.nc\n", + "./224530973_TEMPO_NO2_L2_V04_20240805T132719Z_S005G03_subsetted.nc\n", + "./224530976_TEMPO_NO2_L2_V04_20240805T160727Z_S008G03_subsetted.nc\n", + "./224530975_TEMPO_NO2_L2_V04_20240805T150727Z_S007G03_subsetted.nc\n", + "./224530974_TEMPO_NO2_L2_V04_20240805T140727Z_S006G03_subsetted.nc\n", + "./224530977_TEMPO_NO2_L2_V04_20240805T170727Z_S009G03_subsetted.nc\n", + "./224530978_TEMPO_NO2_L2_V04_20240805T180727Z_S010G03_subsetted.nc\n", + "./224530982_TEMPO_NO2_L2_V04_20240805T220727Z_S014G03_subsetted.nc\n", + "./224530979_TEMPO_NO2_L2_V04_20240805T190727Z_S011G03_subsetted.nc\n", + "./224530980_TEMPO_NO2_L2_V04_20240805T200727Z_S012G03_subsetted.nc\n", + "./224530981_TEMPO_NO2_L2_V04_20240805T210727Z_S013G03_subsetted.nc\n", "Number of result files: 14\n", - "177649644_TEMPO_NO2_L2_V04_20240805T104659Z_S001G03_subsetted.nc\n", + "224530969_TEMPO_NO2_L2_V04_20240805T104659Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.818405 -73.925362 5.3743e+15 1.0552e+15 1\n", " 6 660 40.797455 -73.931648 7.8711e+15 1.5988e+15 1\n", @@ -5893,17 +6066,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649646_TEMPO_NO2_L2_V04_20240805T120709Z_S003G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.826290 -73.888947 8.4786e+15 9.6105e+14 0\n", - " 5 660 40.805347 -73.895233 1.0099e+16 1.1688e+15 0\n", - " 6 659 40.824203 -73.951088 4.8005e+15 8.8521e+14 0\n", - " 6 660 40.803009 -73.957504 8.9255e+15 1.1895e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-05 12:07:27.757559+00:00, NO2 trop col 6.6202e+15, unc 1.0137e+15\n", - "no negative: averaged time 2024-08-05 12:07:27.757559+00:00, NO2 trop col 6.6202e+15, unc 1.0137e+15\n", - "no Small: averaged time 2024-08-05 12:07:27.757559+00:00, NO2 trop col 6.6202e+15, unc 1.0137e+15\n", - "177649645_TEMPO_NO2_L2_V04_20240805T112704Z_S002G03_subsetted.nc\n", + "224530970_TEMPO_NO2_L2_V04_20240805T112704Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.833813 -73.916588 9.7769e+15 1.4162e+15 0\n", " 5 659 40.812897 -73.922836 6.9706e+15 1.2115e+15 0\n", @@ -5913,7 +6076,17 @@ "no FV: averaged time 2024-08-05 11:27:21.293799+00:00, NO2 trop col 6.8670e+15, unc 1.2457e+15\n", "no negative: averaged time 2024-08-05 11:27:21.293799+00:00, NO2 trop col 6.8670e+15, unc 1.2457e+15\n", "no Small: averaged time 2024-08-05 11:27:21.293799+00:00, NO2 trop col 6.8670e+15, unc 1.2457e+15\n", - "177649647_TEMPO_NO2_L2_V04_20240805T124714Z_S004G03_subsetted.nc\n", + "224530971_TEMPO_NO2_L2_V04_20240805T120709Z_S003G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 659 40.826290 -73.888947 8.4786e+15 9.6105e+14 0\n", + " 5 660 40.805347 -73.895233 1.0099e+16 1.1688e+15 0\n", + " 6 659 40.824203 -73.951088 4.8005e+15 8.8521e+14 0\n", + " 6 660 40.803009 -73.957504 8.9255e+15 1.1895e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-05 12:07:27.757559+00:00, NO2 trop col 6.6202e+15, unc 1.0137e+15\n", + "no negative: averaged time 2024-08-05 12:07:27.757559+00:00, NO2 trop col 6.6202e+15, unc 1.0137e+15\n", + "no Small: averaged time 2024-08-05 12:07:27.757559+00:00, NO2 trop col 6.6202e+15, unc 1.0137e+15\n", + "224530972_TEMPO_NO2_L2_V04_20240805T124714Z_S004G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.817684 -73.912315 7.0676e+15 6.4685e+14 0\n", " 5 660 40.796738 -73.918610 7.0688e+15 7.0555e+14 0\n", @@ -5923,7 +6096,7 @@ "no FV: averaged time 2024-08-05 12:47:31.728513+00:00, NO2 trop col 5.6866e+15, unc 6.7940e+14\n", "no negative: averaged time 2024-08-05 12:47:31.728513+00:00, NO2 trop col 5.6866e+15, unc 6.7940e+14\n", "no Small: averaged time 2024-08-05 12:47:31.728513+00:00, NO2 trop col 5.6866e+15, unc 6.7940e+14\n", - "177649648_TEMPO_NO2_L2_V04_20240805T132719Z_S005G03_subsetted.nc\n", + "224530973_TEMPO_NO2_L2_V04_20240805T132719Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.827946 -73.912209 7.8635e+15 7.1685e+14 0\n", " 5 660 40.807030 -73.918480 1.2502e+16 1.1532e+15 0\n", @@ -5933,17 +6106,17 @@ "no FV: averaged time 2024-08-05 13:27:36.592992+00:00, NO2 trop col 7.9689e+15, unc 9.2569e+14\n", "no negative: averaged time 2024-08-05 13:27:36.592992+00:00, NO2 trop col 7.9689e+15, unc 9.2569e+14\n", "no Small: averaged time 2024-08-05 13:27:36.592992+00:00, NO2 trop col 7.9689e+15, unc 9.2569e+14\n", - "177649649_TEMPO_NO2_L2_V04_20240805T140727Z_S006G03_subsetted.nc\n", + "224530976_TEMPO_NO2_L2_V04_20240805T160727Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.824974 -73.928452 2.6388e+16 1.4663e+15 0\n", - " 4 660 40.803967 -73.934784 1.2413e+16 7.5150e+14 0\n", - " 5 659 40.822315 -73.990662 6.8191e+15 8.7233e+14 0\n", - " 5 660 40.801369 -73.996925 7.6853e+15 9.7791e+14 0\n", + " 4 659 40.825737 -73.903008 1.1817e+16 6.6790e+14 0\n", + " 4 660 40.804691 -73.909370 1.1971e+16 7.6036e+14 0\n", + " 5 659 40.823097 -73.965439 7.0359e+15 1.1280e+15 0\n", + " 5 660 40.802002 -73.971794 7.5276e+15 8.6757e+14 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-05 14:07:40.836817+00:00, NO2 trop col 1.4406e+16, unc 9.8027e+14\n", - "no negative: averaged time 2024-08-05 14:07:40.836817+00:00, NO2 trop col 1.4406e+16, unc 9.8027e+14\n", - "no Small: averaged time 2024-08-05 14:07:40.836817+00:00, NO2 trop col 1.4406e+16, unc 9.8027e+14\n", - "177649650_TEMPO_NO2_L2_V04_20240805T150727Z_S007G03_subsetted.nc\n", + "no FV: averaged time 2024-08-05 16:07:42.066083+00:00, NO2 trop col 8.4821e+15, unc 9.9231e+14\n", + "no negative: averaged time 2024-08-05 16:07:42.066083+00:00, NO2 trop col 8.4821e+15, unc 9.9231e+14\n", + "no Small: averaged time 2024-08-05 16:07:42.066083+00:00, NO2 trop col 8.4821e+15, unc 9.9231e+14\n", + "224530975_TEMPO_NO2_L2_V04_20240805T150727Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 659 40.821152 -73.913437 1.2785e+16 6.9236e+14 0\n", " 4 660 40.800198 -73.919731 1.2836e+16 8.1501e+14 0\n", @@ -5953,17 +6126,27 @@ "no FV: averaged time 2024-08-05 15:07:41.628203+00:00, NO2 trop col 1.0021e+16, unc 8.8661e+14\n", "no negative: averaged time 2024-08-05 15:07:41.628203+00:00, NO2 trop col 1.0021e+16, unc 8.8661e+14\n", "no Small: averaged time 2024-08-05 15:07:41.628203+00:00, NO2 trop col 1.0021e+16, unc 8.8661e+14\n", - "177649651_TEMPO_NO2_L2_V04_20240805T160727Z_S008G03_subsetted.nc\n", + "224530974_TEMPO_NO2_L2_V04_20240805T140727Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 4 659 40.825737 -73.903008 1.1817e+16 6.6790e+14 0\n", - " 4 660 40.804691 -73.909370 1.1971e+16 7.6036e+14 0\n", - " 5 659 40.823097 -73.965439 7.0359e+15 1.1280e+15 0\n", - " 5 660 40.802002 -73.971794 7.5276e+15 8.6757e+14 0\n", + " 4 659 40.824974 -73.928452 2.6388e+16 1.4663e+15 0\n", + " 4 660 40.803967 -73.934784 1.2413e+16 7.5150e+14 0\n", + " 5 659 40.822315 -73.990662 6.8191e+15 8.7233e+14 0\n", + " 5 660 40.801369 -73.996925 7.6853e+15 9.7791e+14 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-05 16:07:42.066083+00:00, NO2 trop col 8.4821e+15, unc 9.9231e+14\n", - "no negative: averaged time 2024-08-05 16:07:42.066083+00:00, NO2 trop col 8.4821e+15, unc 9.9231e+14\n", - "no Small: averaged time 2024-08-05 16:07:42.066083+00:00, NO2 trop col 8.4821e+15, unc 9.9231e+14\n", - "177649653_TEMPO_NO2_L2_V04_20240805T180727Z_S010G03_subsetted.nc\n", + "no FV: averaged time 2024-08-05 14:07:40.836817+00:00, NO2 trop col 1.4406e+16, unc 9.8027e+14\n", + "no negative: averaged time 2024-08-05 14:07:40.836817+00:00, NO2 trop col 1.4406e+16, unc 9.8027e+14\n", + "no Small: averaged time 2024-08-05 14:07:40.836817+00:00, NO2 trop col 1.4406e+16, unc 9.8027e+14\n", + "224530977_TEMPO_NO2_L2_V04_20240805T170727Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 660 40.816933 -73.944298 2.2207e+16 3.4402e+15 0\n", + " 5 661 40.796127 -73.950493 2.0559e+16 3.8485e+15 0\n", + " 6 660 40.814838 -74.006378 2.4432e+16 3.2783e+15 0\n", + " 6 661 40.793228 -74.013039 2.3888e+16 9.9454e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-05 17:07:43.212866+00:00, NO2 trop col 2.2300e+16, unc 3.4534e+15\n", + "no negative: averaged time 2024-08-05 17:07:43.212866+00:00, NO2 trop col 2.2300e+16, unc 3.4534e+15\n", + "no Small: averaged time 2024-08-05 17:07:43.212866+00:00, NO2 trop col 2.2300e+16, unc 3.4534e+15\n", + "224530978_TEMPO_NO2_L2_V04_20240805T180727Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 4 658 40.835358 -73.896469 2.4986e+16 6.3661e+14 0\n", " 4 659 40.814331 -73.902817 2.5319e+16 6.4806e+14 0\n", @@ -5973,7 +6156,17 @@ "no FV: averaged time 2024-08-05 18:07:42.247385+00:00, NO2 trop col 2.7998e+16, unc 8.7259e+14\n", "no negative: averaged time 2024-08-05 18:07:42.247385+00:00, NO2 trop col 2.7998e+16, unc 8.7259e+14\n", "no Small: averaged time 2024-08-05 18:07:42.247385+00:00, NO2 trop col 2.7998e+16, unc 8.7259e+14\n", - "177649654_TEMPO_NO2_L2_V04_20240805T190727Z_S011G03_subsetted.nc\n", + "224530982_TEMPO_NO2_L2_V04_20240805T220727Z_S014G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 5 660 40.823723 -73.904594 3.6331e+15 2.6963e+15 0\n", + " 5 661 40.802700 -73.910919 7.2353e+15 1.0947e+15 0\n", + " 6 660 40.821247 -73.967018 6.6989e+15 9.7331e+14 0\n", + " 6 661 40.800175 -73.973351 7.2505e+15 1.0770e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-05 22:07:45.053575+00:00, NO2 trop col 6.8697e+15, unc 1.0115e+15\n", + "no negative: averaged time 2024-08-05 22:07:45.053575+00:00, NO2 trop col 6.8697e+15, unc 1.0115e+15\n", + "no Small: averaged time 2024-08-05 22:07:45.053575+00:00, NO2 trop col 6.8697e+15, unc 1.0115e+15\n", + "224530979_TEMPO_NO2_L2_V04_20240805T190727Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.831009 -73.932014 1.3407e+16 6.7229e+14 0\n", " 5 660 40.810120 -73.938263 1.6170e+16 8.6012e+14 0\n", @@ -5983,17 +6176,7 @@ "no FV: averaged time 2024-08-05 19:07:43.605713+00:00, NO2 trop col 1.5783e+16, unc 8.2107e+14\n", "no negative: averaged time 2024-08-05 19:07:43.605713+00:00, NO2 trop col 1.5783e+16, unc 8.2107e+14\n", "no Small: averaged time 2024-08-05 19:07:43.605713+00:00, NO2 trop col 1.5783e+16, unc 8.2107e+14\n", - "177649652_TEMPO_NO2_L2_V04_20240805T170727Z_S009G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.816933 -73.944298 2.2207e+16 3.4402e+15 0\n", - " 5 661 40.796127 -73.950493 2.0559e+16 3.8485e+15 0\n", - " 6 660 40.814838 -74.006378 2.4432e+16 3.2783e+15 0\n", - " 6 661 40.793228 -74.013039 2.3888e+16 9.9454e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-05 17:07:43.212866+00:00, NO2 trop col 2.2300e+16, unc 3.4534e+15\n", - "no negative: averaged time 2024-08-05 17:07:43.212866+00:00, NO2 trop col 2.2300e+16, unc 3.4534e+15\n", - "no Small: averaged time 2024-08-05 17:07:43.212866+00:00, NO2 trop col 2.2300e+16, unc 3.4534e+15\n", - "177649655_TEMPO_NO2_L2_V04_20240805T200727Z_S012G03_subsetted.nc\n", + "224530980_TEMPO_NO2_L2_V04_20240805T200727Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.834076 -73.922768 1.1459e+16 6.3742e+15 0\n", " 5 660 40.813274 -73.928963 1.2078e+16 2.5527e+15 0\n", @@ -6003,17 +6186,7 @@ "no FV: averaged time 2024-08-05 20:07:44.018224+00:00, NO2 trop col 1.2693e+16, unc 3.0521e+15\n", "no negative: averaged time 2024-08-05 20:07:44.018224+00:00, NO2 trop col 1.2693e+16, unc 3.0521e+15\n", "no Small: averaged time 2024-08-05 20:07:44.018224+00:00, NO2 trop col 1.2693e+16, unc 3.0521e+15\n", - "177649657_TEMPO_NO2_L2_V04_20240805T220727Z_S014G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 660 40.823723 -73.904594 3.6331e+15 2.6963e+15 0\n", - " 5 661 40.802700 -73.910919 7.2353e+15 1.0947e+15 0\n", - " 6 660 40.821247 -73.967018 6.6989e+15 9.7331e+14 0\n", - " 6 661 40.800175 -73.973351 7.2505e+15 1.0770e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-05 22:07:45.053575+00:00, NO2 trop col 6.8697e+15, unc 1.0115e+15\n", - "no negative: averaged time 2024-08-05 22:07:45.053575+00:00, NO2 trop col 6.8697e+15, unc 1.0115e+15\n", - "no Small: averaged time 2024-08-05 22:07:45.053575+00:00, NO2 trop col 6.8697e+15, unc 1.0115e+15\n", - "177649656_TEMPO_NO2_L2_V04_20240805T210727Z_S013G03_subsetted.nc\n", + "224530981_TEMPO_NO2_L2_V04_20240805T210727Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 659 40.829033 -73.926582 1.1133e+16 7.9754e+14 0\n", " 5 660 40.808025 -73.932899 1.1554e+16 8.1074e+14 0\n", @@ -6023,7 +6196,7 @@ "no FV: averaged time 2024-08-05 21:07:43.896587+00:00, NO2 trop col 1.1370e+16, unc 8.8435e+14\n", "no negative: averaged time 2024-08-05 21:07:43.896587+00:00, NO2 trop col 1.1370e+16, unc 8.8435e+14\n", "no Small: averaged time 2024-08-05 21:07:43.896587+00:00, NO2 trop col 1.1370e+16, unc 8.8435e+14\n", - "jobID = b38bfd10-3fe6-4762-9af7-7f6c1b38f9f7\n" + "jobID = 3be217b8-3f57-49e4-83b1-61adbfead3fc\n" ] }, { @@ -6037,21 +6210,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177649772_TEMPO_NO2_L2_V04_20240806T104714Z_S001G03_subsetted.nc\n", - "./177649773_TEMPO_NO2_L2_V04_20240806T112719Z_S002G03_subsetted.nc\n", - "./177649775_TEMPO_NO2_L2_V04_20240806T124729Z_S004G03_subsetted.nc\n", - "./177649774_TEMPO_NO2_L2_V04_20240806T120724Z_S003G03_subsetted.nc\n", - "./177649776_TEMPO_NO2_L2_V04_20240806T132734Z_S005G03_subsetted.nc\n", - "./177649777_TEMPO_NO2_L2_V04_20240806T140742Z_S006G03_subsetted.nc\n", - "./177649778_TEMPO_NO2_L2_V04_20240806T150742Z_S007G03_subsetted.nc\n", - "./177649779_TEMPO_NO2_L2_V04_20240806T160742Z_S008G03_subsetted.nc\n", - "./177649781_TEMPO_NO2_L2_V04_20240806T180742Z_S010G03_subsetted.nc\n", - "./177649780_TEMPO_NO2_L2_V04_20240806T170742Z_S009G03_subsetted.nc\n", - "./177649782_TEMPO_NO2_L2_V04_20240806T190742Z_S011G03_subsetted.nc\n", - "./177649783_TEMPO_NO2_L2_V04_20240806T200742Z_S012G03_subsetted.nc\n", - "./177649784_TEMPO_NO2_L2_V04_20240806T210742Z_S013G03_subsetted.nc\n", + "./224531292_TEMPO_NO2_L2_V04_20240806T104714Z_S001G03_subsetted.nc\n", + "./224531293_TEMPO_NO2_L2_V04_20240806T112719Z_S002G03_subsetted.nc\n", + "./224531294_TEMPO_NO2_L2_V04_20240806T120724Z_S003G03_subsetted.nc\n", + "./224531295_TEMPO_NO2_L2_V04_20240806T124729Z_S004G03_subsetted.nc\n", + "./224531296_TEMPO_NO2_L2_V04_20240806T132734Z_S005G03_subsetted.nc\n", + "./224531298_TEMPO_NO2_L2_V04_20240806T150742Z_S007G03_subsetted.nc\n", + "./224531299_TEMPO_NO2_L2_V04_20240806T160742Z_S008G03_subsetted.nc\n", + "./224531300_TEMPO_NO2_L2_V04_20240806T170742Z_S009G03_subsetted.nc\n", + "./224531301_TEMPO_NO2_L2_V04_20240806T180742Z_S010G03_subsetted.nc\n", + "./224531297_TEMPO_NO2_L2_V04_20240806T140742Z_S006G03_subsetted.nc\n", + "./224531302_TEMPO_NO2_L2_V04_20240806T190742Z_S011G03_subsetted.nc\n", + "./224531303_TEMPO_NO2_L2_V04_20240806T200742Z_S012G03_subsetted.nc\n", + "./224531304_TEMPO_NO2_L2_V04_20240806T210742Z_S013G03_subsetted.nc\n", "Number of result files: 13\n", - "177649772_TEMPO_NO2_L2_V04_20240806T104714Z_S001G03_subsetted.nc\n", + "224531292_TEMPO_NO2_L2_V04_20240806T104714Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 7 659 40.831520 -73.931183 2.7923e+15 8.9030e+14 1\n", " 7 660 40.810619 -73.937431 3.6768e+15 7.3622e+14 1\n", @@ -6061,7 +6234,7 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649773_TEMPO_NO2_L2_V04_20240806T112719Z_S002G03_subsetted.nc\n", + "224531293_TEMPO_NO2_L2_V04_20240806T112719Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.829094 -73.900795 4.1753e+15 8.0497e+14 0\n", " 6 660 40.808041 -73.907127 4.0775e+15 8.6978e+14 0\n", @@ -6071,17 +6244,7 @@ "no FV: averaged time 2024-08-06 11:27:40.156075+00:00, NO2 trop col 3.4360e+15, unc 9.0815e+14\n", "no negative: averaged time 2024-08-06 11:27:40.156075+00:00, NO2 trop col 3.4360e+15, unc 9.0815e+14\n", "no Small: averaged time 2024-08-06 11:27:40.156075+00:00, NO2 trop col 3.4360e+15, unc 9.0815e+14\n", - "177649775_TEMPO_NO2_L2_V04_20240806T124729Z_S004G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.837475 -73.895119 7.9229e+15 9.9467e+14 0\n", - " 6 660 40.816402 -73.901489 8.5637e+15 8.2934e+14 0\n", - " 7 659 40.834690 -73.956978 9.0172e+15 1.3658e+15 0\n", - " 7 660 40.813610 -73.963326 6.0291e+15 8.5502e+14 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-06 12:47:50.348869+00:00, NO2 trop col 6.7005e+15, unc 8.7712e+14\n", - "no negative: averaged time 2024-08-06 12:47:50.348869+00:00, NO2 trop col 6.7005e+15, unc 8.7712e+14\n", - "no Small: averaged time 2024-08-06 12:47:50.348869+00:00, NO2 trop col 6.7005e+15, unc 8.7712e+14\n", - "177649774_TEMPO_NO2_L2_V04_20240806T120724Z_S003G03_subsetted.nc\n", + "224531294_TEMPO_NO2_L2_V04_20240806T120724Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 7 659 40.836788 -73.925812 6.1856e+15 8.0851e+14 0\n", " 7 660 40.816055 -73.931946 6.0970e+15 1.2400e+15 0\n", @@ -6091,7 +6254,17 @@ "no FV: averaged time 2024-08-06 12:07:46.865858+00:00, NO2 trop col 6.6411e+15, unc 1.5071e+15\n", "no negative: averaged time 2024-08-06 12:07:46.865858+00:00, NO2 trop col 6.6411e+15, unc 1.5071e+15\n", "no Small: averaged time 2024-08-06 12:07:46.865858+00:00, NO2 trop col 6.6411e+15, unc 1.5071e+15\n", - "177649776_TEMPO_NO2_L2_V04_20240806T132734Z_S005G03_subsetted.nc\n", + "224531295_TEMPO_NO2_L2_V04_20240806T124729Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.837475 -73.895119 7.9229e+15 9.9467e+14 0\n", + " 6 660 40.816402 -73.901489 8.5637e+15 8.2934e+14 0\n", + " 7 659 40.834690 -73.956978 9.0172e+15 1.3658e+15 0\n", + " 7 660 40.813610 -73.963326 6.0291e+15 8.5502e+14 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-06 12:47:50.348869+00:00, NO2 trop col 6.7005e+15, unc 8.7712e+14\n", + "no negative: averaged time 2024-08-06 12:47:50.348869+00:00, NO2 trop col 6.7005e+15, unc 8.7712e+14\n", + "no Small: averaged time 2024-08-06 12:47:50.348869+00:00, NO2 trop col 6.7005e+15, unc 8.7712e+14\n", + "224531296_TEMPO_NO2_L2_V04_20240806T132734Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 660 40.819290 -73.900841 1.0531e+16 9.9315e+14 0\n", " 6 661 40.798340 -73.907143 8.1400e+15 6.4483e+14 0\n", @@ -6101,17 +6274,7 @@ "no FV: averaged time 2024-08-06 13:27:55.378901+00:00, NO2 trop col 6.9038e+15, unc 6.2563e+14\n", "no negative: averaged time 2024-08-06 13:27:55.378901+00:00, NO2 trop col 6.9038e+15, unc 6.2563e+14\n", "no Small: averaged time 2024-08-06 13:27:55.378901+00:00, NO2 trop col 6.9038e+15, unc 6.2563e+14\n", - "177649777_TEMPO_NO2_L2_V04_20240806T140742Z_S006G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 5 659 40.821537 -73.914009 1.0152e+16 1.2619e+15 0\n", - " 5 660 40.800587 -73.920303 6.2719e+15 7.6863e+14 0\n", - " 6 659 40.818321 -73.976349 5.9547e+15 6.9833e+14 0\n", - " 6 660 40.797672 -73.982437 6.2345e+15 1.0020e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-06 14:07:59.624628+00:00, NO2 trop col 6.9654e+15, unc 8.3989e+14\n", - "no negative: averaged time 2024-08-06 14:07:59.624628+00:00, NO2 trop col 6.9654e+15, unc 8.3989e+14\n", - "no Small: averaged time 2024-08-06 14:07:59.624628+00:00, NO2 trop col 6.9654e+15, unc 8.3989e+14\n", - "177649778_TEMPO_NO2_L2_V04_20240806T150742Z_S007G03_subsetted.nc\n", + "224531298_TEMPO_NO2_L2_V04_20240806T150742Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.832191 -73.911217 5.9084e+15 6.3454e+14 0\n", " 5 659 40.811222 -73.917519 8.2361e+15 1.3273e+15 0\n", @@ -6121,7 +6284,7 @@ "no FV: averaged time 2024-08-06 15:07:59.611722+00:00, NO2 trop col 7.2021e+15, unc 1.3785e+15\n", "no negative: averaged time 2024-08-06 15:07:59.611722+00:00, NO2 trop col 7.2021e+15, unc 1.3785e+15\n", "no Small: averaged time 2024-08-06 15:07:59.611722+00:00, NO2 trop col 7.2021e+15, unc 1.3785e+15\n", - "177649779_TEMPO_NO2_L2_V04_20240806T160742Z_S008G03_subsetted.nc\n", + "224531299_TEMPO_NO2_L2_V04_20240806T160742Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.831997 -73.933685 5.6696e+15 1.3140e+16 0\n", " 6 660 40.811131 -73.939919 3.4684e+15 7.1696e+14 0\n", @@ -6131,7 +6294,17 @@ "no FV: averaged time 2024-08-06 16:08:01.545324+00:00, NO2 trop col 4.2962e+15, unc 2.0038e+15\n", "no negative: averaged time 2024-08-06 16:08:01.545324+00:00, NO2 trop col 4.2962e+15, unc 2.0038e+15\n", "no Small: averaged time 2024-08-06 16:08:02.975622+00:00, NO2 trop col 6.5195e+15, unc 2.9949e+15\n", - "177649781_TEMPO_NO2_L2_V04_20240806T180742Z_S010G03_subsetted.nc\n", + "224531300_TEMPO_NO2_L2_V04_20240806T170742Z_S009G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 659 40.822269 -73.939194 9.8672e+15 2.2774e+15 0\n", + " 6 660 40.801395 -73.945427 1.3047e+16 7.7965e+15 0\n", + " 7 659 40.820122 -74.001030 8.4772e+15 5.2055e+15 0\n", + " 7 660 40.798695 -74.007576 1.3971e+16 6.5053e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-06 17:08:01.409182+00:00, NO2 trop col 1.0670e+16, unc 4.4759e+15\n", + "no negative: averaged time 2024-08-06 17:08:01.409182+00:00, NO2 trop col 1.0670e+16, unc 4.4759e+15\n", + "no Small: averaged time 2024-08-06 17:08:01.409182+00:00, NO2 trop col 1.0670e+16, unc 4.4759e+15\n", + "224531301_TEMPO_NO2_L2_V04_20240806T180742Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 658 40.833805 -73.891800 7.0836e+15 4.7322e+15 0\n", " 5 659 40.812813 -73.898125 -1.0000e+30 -1.0000e+30 -9999\n", @@ -6141,17 +6314,17 @@ "no FV: averaged time 2024-08-06 18:08:00.544687+00:00, NO2 trop col 1.2065e+16, unc 8.8498e+15\n", "no negative: averaged time 2024-08-06 18:08:00.544687+00:00, NO2 trop col 1.2065e+16, unc 8.8498e+15\n", "no Small: averaged time 2024-08-06 18:07:59.430885+00:00, NO2 trop col 1.0242e+16, unc 6.9382e+15\n", - "177649780_TEMPO_NO2_L2_V04_20240806T170742Z_S009G03_subsetted.nc\n", + "224531297_TEMPO_NO2_L2_V04_20240806T140742Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.822269 -73.939194 9.8672e+15 2.2774e+15 0\n", - " 6 660 40.801395 -73.945427 1.3047e+16 7.7965e+15 0\n", - " 7 659 40.820122 -74.001030 8.4772e+15 5.2055e+15 0\n", - " 7 660 40.798695 -74.007576 1.3971e+16 6.5053e+15 0\n", + " 5 659 40.821537 -73.914009 1.0152e+16 1.2619e+15 0\n", + " 5 660 40.800587 -73.920303 6.2719e+15 7.6863e+14 0\n", + " 6 659 40.818321 -73.976349 5.9547e+15 6.9833e+14 0\n", + " 6 660 40.797672 -73.982437 6.2345e+15 1.0020e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-06 17:08:01.409182+00:00, NO2 trop col 1.0670e+16, unc 4.4759e+15\n", - "no negative: averaged time 2024-08-06 17:08:01.409182+00:00, NO2 trop col 1.0670e+16, unc 4.4759e+15\n", - "no Small: averaged time 2024-08-06 17:08:01.409182+00:00, NO2 trop col 1.0670e+16, unc 4.4759e+15\n", - "177649782_TEMPO_NO2_L2_V04_20240806T190742Z_S011G03_subsetted.nc\n", + "no FV: averaged time 2024-08-06 14:07:59.624628+00:00, NO2 trop col 6.9654e+15, unc 8.3989e+14\n", + "no negative: averaged time 2024-08-06 14:07:59.624628+00:00, NO2 trop col 6.9654e+15, unc 8.3989e+14\n", + "no Small: averaged time 2024-08-06 14:07:59.624628+00:00, NO2 trop col 6.9654e+15, unc 8.3989e+14\n", + "224531302_TEMPO_NO2_L2_V04_20240806T190742Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.825073 -73.933762 1.0323e+16 4.2735e+15 0\n", " 6 660 40.804173 -73.940010 1.3310e+16 1.1910e+16 0\n", @@ -6161,7 +6334,7 @@ "no FV: averaged time 2024-08-06 19:08:01.654548+00:00, NO2 trop col 1.1226e+16, unc 7.8294e+15\n", "no negative: averaged time 2024-08-06 19:08:01.654548+00:00, NO2 trop col 1.1226e+16, unc 7.8294e+15\n", "no Small: averaged time 2024-08-06 19:08:01.654548+00:00, NO2 trop col 1.1226e+16, unc 7.8294e+15\n", - "177649783_TEMPO_NO2_L2_V04_20240806T200742Z_S012G03_subsetted.nc\n", + "224531303_TEMPO_NO2_L2_V04_20240806T200742Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 658 40.832855 -73.912285 1.0638e+16 1.1853e+16 0\n", " 6 659 40.811913 -73.918571 1.1993e+16 8.6398e+15 0\n", @@ -6171,7 +6344,7 @@ "no FV: averaged time 2024-08-06 20:08:02.586831+00:00, NO2 trop col 1.6410e+16, unc 1.0736e+16\n", "no negative: averaged time 2024-08-06 20:08:02.586831+00:00, NO2 trop col 1.6410e+16, unc 1.0736e+16\n", "no Small: averaged time 2024-08-06 20:08:02.586831+00:00, NO2 trop col 1.6410e+16, unc 1.0736e+16\n", - "177649784_TEMPO_NO2_L2_V04_20240806T210742Z_S013G03_subsetted.nc\n", + "224531304_TEMPO_NO2_L2_V04_20240806T210742Z_S013G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.822598 -73.914055 2.3334e+16 8.7957e+15 0\n", " 6 660 40.801670 -73.920326 2.7140e+16 7.7163e+15 0\n", @@ -6181,7 +6354,7 @@ "no FV: averaged time 2024-08-06 21:08:02.641902+00:00, NO2 trop col 3.0348e+16, unc 8.8301e+15\n", "no negative: averaged time 2024-08-06 21:08:02.641902+00:00, NO2 trop col 3.0348e+16, unc 8.8301e+15\n", "no Small: averaged time 2024-08-06 21:08:02.641902+00:00, NO2 trop col 3.0348e+16, unc 8.8301e+15\n", - "jobID = 2be89567-ae09-4f36-9ed6-1d85092c2f05\n" + "jobID = 6112cac4-a7d4-4c1c-b853-9fdfb21769cc\n" ] }, { @@ -6195,32 +6368,32 @@ "name": "stdout", "output_type": "stream", "text": [ - "./177649973_TEMPO_NO2_L2_V04_20240807T120738Z_S003G03_subsetted.nc\n", - "./177649971_TEMPO_NO2_L2_V04_20240807T104728Z_S001G03_subsetted.nc\n", - "./177649974_TEMPO_NO2_L2_V04_20240807T124743Z_S004G03_subsetted.nc\n", - "./177649972_TEMPO_NO2_L2_V04_20240807T112733Z_S002G03_subsetted.nc\n", - "./177649975_TEMPO_NO2_L2_V04_20240807T132748Z_S005G03_subsetted.nc\n", - "./177649977_TEMPO_NO2_L2_V04_20240807T150756Z_S007G03_subsetted.nc\n", - "./177649976_TEMPO_NO2_L2_V04_20240807T140756Z_S006G03_subsetted.nc\n", - "./177649978_TEMPO_NO2_L2_V04_20240807T160756Z_S008G03_subsetted.nc\n", - "./177649979_TEMPO_NO2_L2_V04_20240807T170756Z_S009G03_subsetted.nc\n", - "./177649981_TEMPO_NO2_L2_V04_20240807T190756Z_S011G03_subsetted.nc\n", - "./177649980_TEMPO_NO2_L2_V04_20240807T180756Z_S010G03_subsetted.nc\n", - "./177649983_TEMPO_NO2_L2_V04_20240807T210756Z_S013G03_subsetted.nc\n", - "./177649982_TEMPO_NO2_L2_V04_20240807T200756Z_S012G03_subsetted.nc\n", - "./177649984_TEMPO_NO2_L2_V04_20240807T220756Z_S014G03_subsetted.nc\n", + "./224531649_TEMPO_NO2_L2_V04_20240807T112733Z_S002G03_subsetted.nc\n", + "./224531648_TEMPO_NO2_L2_V04_20240807T104728Z_S001G03_subsetted.nc\n", + "./224531650_TEMPO_NO2_L2_V04_20240807T120738Z_S003G03_subsetted.nc\n", + "./224531652_TEMPO_NO2_L2_V04_20240807T132748Z_S005G03_subsetted.nc\n", + "./224531651_TEMPO_NO2_L2_V04_20240807T124743Z_S004G03_subsetted.nc\n", + "./224531654_TEMPO_NO2_L2_V04_20240807T150756Z_S007G03_subsetted.nc\n", + "./224531653_TEMPO_NO2_L2_V04_20240807T140756Z_S006G03_subsetted.nc\n", + "./224531655_TEMPO_NO2_L2_V04_20240807T160756Z_S008G03_subsetted.nc\n", + "./224531656_TEMPO_NO2_L2_V04_20240807T170756Z_S009G03_subsetted.nc\n", + "./224531657_TEMPO_NO2_L2_V04_20240807T180756Z_S010G03_subsetted.nc\n", + "./224531658_TEMPO_NO2_L2_V04_20240807T190756Z_S011G03_subsetted.nc\n", + "./224531659_TEMPO_NO2_L2_V04_20240807T200756Z_S012G03_subsetted.nc\n", + "./224531661_TEMPO_NO2_L2_V04_20240807T220756Z_S014G03_subsetted.nc\n", + "./224531660_TEMPO_NO2_L2_V04_20240807T210756Z_S013G03_subsetted.nc\n", "Number of result files: 14\n", - "177649973_TEMPO_NO2_L2_V04_20240807T120738Z_S003G03_subsetted.nc\n", + "224531649_TEMPO_NO2_L2_V04_20240807T112733Z_S002G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 657 40.823269 -73.894089 7.2905e+15 1.2302e+15 0\n", - " 6 658 40.802376 -73.900314 9.0437e+15 1.1766e+15 0\n", - " 7 657 40.821270 -73.955276 1.0982e+16 1.4020e+15 0\n", - " 7 658 40.799992 -73.961716 8.0422e+15 1.5653e+15 0\n", + " 6 659 40.818607 -73.892029 6.5265e+15 1.1953e+15 0\n", + " 6 660 40.797710 -73.898270 5.8339e+15 1.0704e+15 0\n", + " 7 659 40.816391 -73.954369 5.0682e+15 1.0205e+15 0\n", + " 7 660 40.795116 -73.960815 5.9370e+15 8.5386e+14 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-07 12:07:59.629410+00:00, NO2 trop col 1.0230e+16, unc 1.4077e+15\n", - "no negative: averaged time 2024-08-07 12:07:59.629410+00:00, NO2 trop col 1.0230e+16, unc 1.4077e+15\n", - "no Small: averaged time 2024-08-07 12:07:59.629410+00:00, NO2 trop col 1.0230e+16, unc 1.4077e+15\n", - "177649971_TEMPO_NO2_L2_V04_20240807T104728Z_S001G03_subsetted.nc\n", + "no FV: averaged time 2024-08-07 11:27:54.750269+00:00, NO2 trop col 5.1262e+15, unc 1.0250e+15\n", + "no negative: averaged time 2024-08-07 11:27:54.750269+00:00, NO2 trop col 5.1262e+15, unc 1.0250e+15\n", + "no Small: averaged time 2024-08-07 11:27:54.750269+00:00, NO2 trop col 5.1262e+15, unc 1.0250e+15\n", + "224531648_TEMPO_NO2_L2_V04_20240807T104728Z_S001G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 659 40.835537 -73.891869 3.9317e+15 8.6797e+14 1\n", " 6 660 40.814541 -73.898193 5.7820e+15 7.1712e+14 1\n", @@ -6230,27 +6403,17 @@ "no FV: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no negative: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649974_TEMPO_NO2_L2_V04_20240807T124743Z_S004G03_subsetted.nc\n", + "224531650_TEMPO_NO2_L2_V04_20240807T120738Z_S003G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 650 40.817101 -73.927055 1.0148e+16 1.3398e+15 0\n", - " 6 651 40.796089 -73.933342 8.5054e+15 1.1835e+15 0\n", - " 7 650 40.813980 -73.989273 7.4617e+15 1.6183e+15 0\n", - " 7 651 40.793240 -73.995369 1.2231e+16 2.1340e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-07 12:48:03.060978+00:00, NO2 trop col 9.0942e+15, unc 1.4392e+15\n", - "no negative: averaged time 2024-08-07 12:48:03.060978+00:00, NO2 trop col 9.0942e+15, unc 1.4392e+15\n", - "no Small: averaged time 2024-08-07 12:48:03.060978+00:00, NO2 trop col 9.0942e+15, unc 1.4392e+15\n", - "177649972_TEMPO_NO2_L2_V04_20240807T112733Z_S002G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 659 40.818607 -73.892029 6.5265e+15 1.1953e+15 0\n", - " 6 660 40.797710 -73.898270 5.8339e+15 1.0704e+15 0\n", - " 7 659 40.816391 -73.954369 5.0682e+15 1.0205e+15 0\n", - " 7 660 40.795116 -73.960815 5.9370e+15 8.5386e+14 0\n", + " 6 657 40.823269 -73.894089 7.2905e+15 1.2302e+15 0\n", + " 6 658 40.802376 -73.900314 9.0437e+15 1.1766e+15 0\n", + " 7 657 40.821270 -73.955276 1.0982e+16 1.4020e+15 0\n", + " 7 658 40.799992 -73.961716 8.0422e+15 1.5653e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-07 11:27:54.750269+00:00, NO2 trop col 5.1262e+15, unc 1.0250e+15\n", - "no negative: averaged time 2024-08-07 11:27:54.750269+00:00, NO2 trop col 5.1262e+15, unc 1.0250e+15\n", - "no Small: averaged time 2024-08-07 11:27:54.750269+00:00, NO2 trop col 5.1262e+15, unc 1.0250e+15\n", - "177649975_TEMPO_NO2_L2_V04_20240807T132748Z_S005G03_subsetted.nc\n", + "no FV: averaged time 2024-08-07 12:07:59.629410+00:00, NO2 trop col 1.0230e+16, unc 1.4077e+15\n", + "no negative: averaged time 2024-08-07 12:07:59.629410+00:00, NO2 trop col 1.0230e+16, unc 1.4077e+15\n", + "no Small: averaged time 2024-08-07 12:07:59.629410+00:00, NO2 trop col 1.0230e+16, unc 1.4077e+15\n", + "224531652_TEMPO_NO2_L2_V04_20240807T132748Z_S005G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 643 40.818569 -73.939079 4.8729e+15 1.2328e+15 0\n", " 6 644 40.797653 -73.945297 6.8247e+15 1.4238e+15 0\n", @@ -6260,7 +6423,17 @@ "no FV: averaged time 2024-08-07 13:28:07.425810+00:00, NO2 trop col 5.3389e+15, unc 1.3188e+15\n", "no negative: averaged time 2024-08-07 13:28:07.425810+00:00, NO2 trop col 5.3389e+15, unc 1.3188e+15\n", "no Small: averaged time 2024-08-07 13:28:07.425810+00:00, NO2 trop col 5.3389e+15, unc 1.3188e+15\n", - "177649977_TEMPO_NO2_L2_V04_20240807T150756Z_S007G03_subsetted.nc\n", + "224531651_TEMPO_NO2_L2_V04_20240807T124743Z_S004G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 650 40.817101 -73.927055 1.0148e+16 1.3398e+15 0\n", + " 6 651 40.796089 -73.933342 8.5054e+15 1.1835e+15 0\n", + " 7 650 40.813980 -73.989273 7.4617e+15 1.6183e+15 0\n", + " 7 651 40.793240 -73.995369 1.2231e+16 2.1340e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-07 12:48:03.060978+00:00, NO2 trop col 9.0942e+15, unc 1.4392e+15\n", + "no negative: averaged time 2024-08-07 12:48:03.060978+00:00, NO2 trop col 9.0942e+15, unc 1.4392e+15\n", + "no Small: averaged time 2024-08-07 12:48:03.060978+00:00, NO2 trop col 9.0942e+15, unc 1.4392e+15\n", + "224531654_TEMPO_NO2_L2_V04_20240807T150756Z_S007G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 627 40.825886 -73.911079 1.4851e+15 1.9889e+15 0\n", " 5 628 40.804935 -73.917336 3.5151e+15 1.6075e+15 0\n", @@ -6270,7 +6443,7 @@ "no FV: averaged time 2024-08-07 15:08:13.729001+00:00, NO2 trop col 2.6043e+15, unc 1.1622e+15\n", "no negative: averaged time 2024-08-07 15:08:13.729001+00:00, NO2 trop col 2.6043e+15, unc 1.1622e+15\n", "no Small: averaged time 2024-08-07 15:08:13.443305+00:00, NO2 trop col 2.7577e+15, unc 1.2236e+15\n", - "177649976_TEMPO_NO2_L2_V04_20240807T140756Z_S006G03_subsetted.nc\n", + "224531653_TEMPO_NO2_L2_V04_20240807T140756Z_S006G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 634 40.833405 -73.935593 1.9900e+15 8.4350e+14 0\n", " 5 635 40.812542 -73.941788 4.2193e+15 1.5654e+15 0\n", @@ -6280,7 +6453,7 @@ "no FV: averaged time 2024-08-07 14:08:12.387891+00:00, NO2 trop col 4.1393e+15, unc 1.5737e+15\n", "no negative: averaged time 2024-08-07 14:08:12.387891+00:00, NO2 trop col 4.1393e+15, unc 1.5737e+15\n", "no Small: averaged time 2024-08-07 14:08:12.387891+00:00, NO2 trop col 4.1393e+15, unc 1.5737e+15\n", - "177649978_TEMPO_NO2_L2_V04_20240807T160756Z_S008G03_subsetted.nc\n", + "224531655_TEMPO_NO2_L2_V04_20240807T160756Z_S008G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 5 621 40.817917 -73.931786 2.2027e+15 5.8116e+15 0\n", " 5 622 40.796890 -73.938087 -3.8592e+15 5.7927e+15 0\n", @@ -6290,7 +6463,7 @@ "no FV: averaged time 2024-08-07 16:08:12.806380+00:00, NO2 trop col 1.0964e+15, unc 5.7213e+15\n", "no negative: averaged time 2024-08-07 16:08:12.806535+00:00, NO2 trop col 1.7365e+15, unc 5.8262e+15\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649979_TEMPO_NO2_L2_V04_20240807T170756Z_S009G03_subsetted.nc\n", + "224531656_TEMPO_NO2_L2_V04_20240807T170756Z_S009G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 616 40.825523 -73.911682 9.5801e+14 1.4066e+15 0\n", " 6 617 40.804588 -73.917946 6.9829e+14 5.3770e+15 0\n", @@ -6300,17 +6473,7 @@ "no FV: averaged time 2024-08-07 17:08:16.693281+00:00, NO2 trop col -4.4050e+15, unc 5.8970e+15\n", "no negative: averaged time 2024-08-07 17:08:14.949243+00:00, NO2 trop col 8.2815e+14, unc 3.3918e+15\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649981_TEMPO_NO2_L2_V04_20240807T190756Z_S011G03_subsetted.nc\n", - "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 7 619 40.831074 -73.894737 1.5633e+15 3.1851e+15 0\n", - " 7 620 40.810139 -73.901031 -2.7393e+13 4.6210e+15 0\n", - " 8 619 40.829388 -73.957756 1.3351e+14 3.1148e+15 0\n", - " 8 620 40.808346 -73.964081 -1.1223e+15 2.1857e+15 0\n", - "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-07 19:08:20.470674+00:00, NO2 trop col -5.2566e+14, unc 2.9259e+15\n", - "no negative: averaged time 2024-08-07 19:08:19.511668+00:00, NO2 trop col 8.4839e+14, unc 3.1499e+15\n", - "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649980_TEMPO_NO2_L2_V04_20240807T180756Z_S010G03_subsetted.nc\n", + "224531657_TEMPO_NO2_L2_V04_20240807T180756Z_S010G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 615 40.821125 -73.896492 -2.3865e+14 1.6373e+15 0\n", " 6 616 40.800247 -73.902733 1.2410e+14 2.8864e+14 0\n", @@ -6320,17 +6483,17 @@ "no FV: averaged time 2024-08-07 18:08:17.510093+00:00, NO2 trop col -1.4515e+15, unc 2.5846e+15\n", "no negative: averaged time 2024-08-07 18:08:16.464327+00:00, NO2 trop col 5.5172e+14, unc 1.1926e+15\n", "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", - "177649983_TEMPO_NO2_L2_V04_20240807T210756Z_S013G03_subsetted.nc\n", + "224531658_TEMPO_NO2_L2_V04_20240807T190756Z_S011G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", - " 6 633 40.828850 -73.912476 9.2318e+15 6.7448e+15 0\n", - " 6 634 40.807980 -73.918724 7.2508e+15 4.8781e+15 0\n", - " 7 633 40.826691 -73.975128 8.2676e+15 3.8752e+15 0\n", - " 7 634 40.806183 -73.981133 9.2189e+15 4.3320e+15 0\n", + " 7 619 40.831074 -73.894737 1.5633e+15 3.1851e+15 0\n", + " 7 620 40.810139 -73.901031 -2.7393e+13 4.6210e+15 0\n", + " 8 619 40.829388 -73.957756 1.3351e+14 3.1148e+15 0\n", + " 8 620 40.808346 -73.964081 -1.1223e+15 2.1857e+15 0\n", "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", - "no FV: averaged time 2024-08-07 21:08:16.621602+00:00, NO2 trop col 7.9443e+15, unc 4.3938e+15\n", - "no negative: averaged time 2024-08-07 21:08:16.621602+00:00, NO2 trop col 7.9443e+15, unc 4.3938e+15\n", - "no Small: averaged time 2024-08-07 21:08:16.621602+00:00, NO2 trop col 7.9443e+15, unc 4.3938e+15\n", - "177649982_TEMPO_NO2_L2_V04_20240807T200756Z_S012G03_subsetted.nc\n", + "no FV: averaged time 2024-08-07 19:08:20.470674+00:00, NO2 trop col -5.2566e+14, unc 2.9259e+15\n", + "no negative: averaged time 2024-08-07 19:08:19.511668+00:00, NO2 trop col 8.4839e+14, unc 3.1499e+15\n", + "no Small: averaged time 1980-01-06 00:00:00.100000+00:00, NO2 trop col -1.0000e+00, unc -1.0000e+00\n", + "224531659_TEMPO_NO2_L2_V04_20240807T200756Z_S012G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 624 40.835407 -73.887711 6.9186e+15 4.1352e+15 0\n", " 6 625 40.814453 -73.894020 7.6555e+15 5.2588e+15 0\n", @@ -6340,7 +6503,7 @@ "no FV: averaged time 2024-08-07 20:08:17.713691+00:00, NO2 trop col 4.1859e+15, unc 3.6549e+15\n", "no negative: averaged time 2024-08-07 20:08:17.713691+00:00, NO2 trop col 4.1859e+15, unc 3.6549e+15\n", "no Small: averaged time 2024-08-07 20:08:15.955401+00:00, NO2 trop col 7.4337e+15, unc 4.3933e+15\n", - "177649984_TEMPO_NO2_L2_V04_20240807T220756Z_S014G03_subsetted.nc\n", + "224531661_TEMPO_NO2_L2_V04_20240807T220756Z_S014G03_subsetted.nc\n", "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", " 6 647 40.818630 -73.905060 1.2753e+16 7.8101e+15 0\n", " 6 648 40.797680 -73.911354 9.2755e+15 4.3454e+15 0\n", @@ -6349,7 +6512,17 @@ "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", "no FV: averaged time 2024-08-07 22:08:17.178346+00:00, NO2 trop col 1.7120e+16, unc 5.6070e+15\n", "no negative: averaged time 2024-08-07 22:08:17.178346+00:00, NO2 trop col 1.7120e+16, unc 5.6070e+15\n", - "no Small: averaged time 2024-08-07 22:08:17.178346+00:00, NO2 trop col 1.7120e+16, unc 5.6070e+15\n" + "no Small: averaged time 2024-08-07 22:08:17.178346+00:00, NO2 trop col 1.7120e+16, unc 5.6070e+15\n", + "224531660_TEMPO_NO2_L2_V04_20240807T210756Z_S013G03_subsetted.nc\n", + "scanl pixel latitude longitude tropNO2_col tropNO2_col_unc tropNO2_col_QF\n", + " 6 633 40.828850 -73.912476 9.2318e+15 6.7448e+15 0\n", + " 6 634 40.807980 -73.918724 7.2508e+15 4.8781e+15 0\n", + " 7 633 40.826691 -73.975128 8.2676e+15 3.8752e+15 0\n", + " 7 634 40.806183 -73.981133 9.2189e+15 4.3320e+15 0\n", + "POI ManhattanNY-CCNY at 40.8153 -73.9505 found\n", + "no FV: averaged time 2024-08-07 21:08:16.621602+00:00, NO2 trop col 7.9443e+15, unc 4.3938e+15\n", + "no negative: averaged time 2024-08-07 21:08:16.621602+00:00, NO2 trop col 7.9443e+15, unc 4.3938e+15\n", + "no Small: averaged time 2024-08-07 21:08:16.621602+00:00, NO2 trop col 7.9443e+15, unc 4.3938e+15\n" ] } ], @@ -6399,7 +6572,7 @@ ", avg_time_noneg, trop_NO2_column_noneg, trop_NO2_column_unc_noneg\\\n", ", avg_time_noSmall, trop_NO2_column_noSmall, trop_NO2_column_unc_noSmall= get_local_tropNO2(POI, fn)\n", "\n", - "# os.remove(fn)\n", + " os.remove(fn)\n", "\n", " print(f'no FV: averaged time {glp.gps_millis_to_datetime(avg_time_noFV*1.e+3)}, NO2 trop col {trop_NO2_column_noFV:11.4e}, unc {trop_NO2_column_unc_noFV:11.4e}')\n", " print(f'no negative: averaged time {glp.gps_millis_to_datetime(avg_time_noneg*1.e+3)}, NO2 trop col {trop_NO2_column_noneg:11.4e}, unc {trop_NO2_column_unc_noneg:11.4e}')\n", @@ -6451,7 +6624,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -6468,7 +6641,7 @@ "source": [ "# reading TEMPO file that was created at the previous step\n", "# only read POI information from the header and first 8 columns of data:\n", - "# yyyy, mm, dd, hh, mn, ss, HCHO column, and its incertainty\n", + "# yyyy, mm, dd, hh, mn, ss, NO2 trop column, and its incertainty\n", "ts_fname_noFV = out_Q+'_noFV_'+datestamp_ini+'_'+datestamp_fin+'_'+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1]))\n", "ts_fname_noneg = out_Q+'_noneg_'+datestamp_ini+'_'+datestamp_fin+'_'+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1]))\n", "ts_fname_noSmall = out_Q+'_noSmall_'+datestamp_ini+'_'+datestamp_fin+'_'+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1]))\n", @@ -6480,7 +6653,7 @@ "if len(time_series_TEMPO_noFV) == 0:\n", " print('Standard TEMPO time series is empty')\n", "if len(time_series_TEMPO_noneg) == 0:\n", - " print('TEMPO time series excluding negative HCHO retrievals is empty')\n", + " print('TEMPO time series excluding negative NO2 trop retrievals is empty')\n", "\n", "if len(time_series_TEMPO_noFV) == len(time_series_TEMPO_noneg):\n", " print('\\nTEMPO standard and \"no negative\" are of equal length')\n", @@ -6499,7 +6672,7 @@ " print('TEMPO standard and \"no negative\" are different')\n", "\n", "if len(time_series_TEMPO_noSmall) == 0:\n", - " print('TEMPO time series excluding small HCHO retrievals is empty')\n", + " print('TEMPO time series excluding small NO2 trop retrievals is empty')\n", "\n", "if len(time_series_TEMPO_noSmall) == len(time_series_TEMPO_noneg):\n", " print('\\nTEMPO \"no small\" and \"no negative\" are of equal length')\n", @@ -6529,38 +6702,21 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 23, "metadata": { "id": "lI10qQGc9U-U" }, "outputs": [], "source": [ - "Pandora_out = open(out_Q+'_Pandora_'+datestamp_ini+'_'+datestamp_fin+'_'\\\n", - "+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1])), 'r')\n", - "Pandora_data_lines = Pandora_out.readlines()\n", - "Pandora_out.close()\n", + "ts_fname_Pandora = out_Q+'_Pandora_'+datestamp_ini+'_'+datestamp_fin+'_'\\\n", + "+POI_name_+'_'+str('%08.4fN_%08.4fW.txt' %(POI[0], -POI[1]))\n", + "time_series_Pandora, dt0, dt_fin = read_timeseries(ts_fname_Pandora, yyyy_ini, mm_ini, dd_ini, yyyy_fin, mm_fin, dd_fin)\n", "\n", - "time_series_Pandora = np.empty([0, 3])\n", "time_series_Pandora_noneg = np.empty([0, 3])\n", "\n", - "for line in Pandora_data_lines:\n", - " split = line.split()\n", - " yyyy = int(split[0])\n", - " mm = int(split[1])\n", - " dd = int(split[2])\n", - " hh = int(split[3])\n", - " mn = int(split[4])\n", - " ss = float(split[5])\n", - " us = int((ss - int(ss))*1000000) # microseconds\n", - "# dt below is time since the beginning of the period of interest in hours\n", - " dt = (datetime(yyyy, mm, dd, hh, mn, int(ss), us) - dt0).total_seconds()/86400.\n", - " col = float(split[6])\n", - " unc = float(split[7])\n", - " time_series_Pandora = np.append(time_series_Pandora,\\\n", - "[[dt, col, unc]], axis = 0)\n", - " if col > 0:\n", - " time_series_Pandora_noneg = np.append(time_series_Pandora_noneg,\\\n", - "[[dt, col, unc]], axis = 0)" + "for line in time_series_Pandora:\n", + " if line[1] > 0:\n", + " time_series_Pandora_noneg = np.append(time_series_Pandora_noneg, [line], axis = 0)" ] }, { @@ -6583,7 +6739,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -6595,7 +6751,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -6639,7 +6795,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -6654,1642 +6810,1669 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.64353 2.708e+16 1.05e+14 1.0000e+00\n", - "0.64663 2.708e+16 1.05e+14\n", + "0.72929 1.089e+16 5.93e+13 1.0000e+00\n", + "0.72975 1.089e+16 5.93e+13\n", + "\n", + "0.81141 1.253e+16 6.04e+13 1.0000e+00\n", + "0.81310 1.253e+16 6.04e+13\n", + "\n", + "0.77408 1.087e+16 6.25e+13 1.0000e+00\n", + "0.77144 1.087e+16 6.25e+13\n", + "\n", + "1.60423 2.202e+16 6.92e+13 1.0000e+00\n", + "1.60497 2.202e+16 6.92e+13\n", + "\n", + "1.64353 2.708e+16 1.05e+14 1.0000e+00\n", + "1.64663 2.708e+16 1.05e+14\n", + "\n", + "1.76743 2.511e+16 1.01e+14 1.4217e-02\n", + "1.77267 2.153e+16 7.84e+13 9.8578e-01\n", + "1.77165 2.158e+16 7.87e+13\n", + "\n", + "1.81025 8.844e+15 5.06e+13 8.1255e-01\n", + "1.81721 3.560e+15 3.71e+13 1.8745e-01\n", + "1.81331 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5.36e+13 3.5571e-01\n", - "25.80099 1.455e+16 6.60e+13 6.4429e-01\n", - "25.79724 1.376e+16 6.16e+13\n", + "26.70931 5.894e+15 5.15e+13 6.1207e-03\n", + "26.71488 9.128e+15 5.80e+13 9.9388e-01\n", + "26.71391 9.109e+15 5.80e+13\n", "\n", - "25.83515 1.142e+16 7.76e+13 5.7335e-02\n", - "25.84069 8.850e+15 1.07e+14 9.4267e-01\n", - "25.83892 8.997e+15 1.05e+14\n", + "26.75282 3.022e+15 5.60e+13 6.1490e-01\n", + "26.75860 5.595e+15 6.35e+13 3.8510e-01\n", + "26.75555 4.013e+15 5.89e+13\n", "\n", - "25.87948 3.929e+16 5.92e+14 9.8103e-01\n", - "25.88469 8.591e+15 1.44e+14 1.8972e-02\n", - "25.88059 3.871e+16 5.84e+14\n", + "26.58748 1.325e+16 6.91e+13 1.0000e+00\n", + "26.58888 1.325e+16 6.91e+13\n", "\n", - "26.63357 6.236e+15 9.15e+13 1.0000e+00\n", - "26.63071 6.236e+15 9.15e+13\n", + "26.79319 1.232e+16 5.36e+13 3.5571e-01\n", + "26.80099 1.455e+16 6.60e+13 6.4429e-01\n", + "26.79724 1.376e+16 6.16e+13\n", "\n", - "26.58811 5.025e+15 1.21e+14 9.8281e-01\n", - "26.59314 5.245e+15 1.10e+14 1.7192e-02\n", - "26.58903 5.029e+15 1.21e+14\n", + "26.83515 1.142e+16 7.76e+13 5.7335e-02\n", + "26.84069 8.850e+15 1.07e+14 9.4267e-01\n", + "26.83892 8.997e+15 1.05e+14\n", "\n", - "26.87951 6.157e+15 1.52e+14 9.8165e-01\n", - "26.88490 4.809e+15 1.54e+14 1.8349e-02\n", - "26.88075 6.132e+15 1.52e+14\n", + "26.87948 3.929e+16 5.92e+14 9.8103e-01\n", + "26.88469 8.591e+15 1.44e+14 1.8972e-02\n", + "26.88059 3.871e+16 5.84e+14\n", + "\n", + "27.63357 6.236e+15 9.15e+13 1.0000e+00\n", + "27.63071 6.236e+15 9.15e+13\n", + "\n", + "27.58811 5.025e+15 1.21e+14 9.8281e-01\n", + "27.59314 5.245e+15 1.10e+14 1.7192e-02\n", + "27.58903 5.029e+15 1.21e+14\n", + "\n", + "27.87951 6.157e+15 1.52e+14 9.8165e-01\n", + "27.88490 4.809e+15 1.54e+14 1.8349e-02\n", + "27.88075 6.132e+15 1.52e+14\n", "\n" ] }, { "data": { - "image/png": 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", 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", 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", 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", + "image/png": 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Wch11TBYsWICWLVsiMjLSbL7+/fvj3r17OHHihKJtUnqc3S5AAspzkYQqofbt2xeXLl3Cvn37BH+7d+9epKWloW/fvgAAPz8/fPTRR6hbty60Wi2GDh0KT09PpKSkWE2DPYFKaGgofH19BZf9zz//QKvVWlQyS01NNfv7/PnzKCsrQ0xMjF3LCwsLw7hx47BhwwZcunQJISEhmDFjhuR1yhEaGoqAgACUlpaiR48egp9atWrJWia33MDAQJw5c8Yhv7Nnv3KCg4MFOw+9fPmyrLRWBE9PT7Rt2xZ79+41C4Q6deqEwsJCrF69GtevX7eoFC5E7e229xjLXYe9x5kj5XpS4scff8TIkSPxxRdfYNCgQXjiiSfw2GOPVUgHtffv30e/fv1w7tw5/PLLL2jSpIngfA8//DDOnTtnURx5+PBh4/dylpmRkYGysjJMmDAB9erVM34OHz6Mc+fOoV69epg2bZpd6+esXr0a/v7+xgYKztCiRQuLF0ZbLeIccUykLNdRx+T69euCL1HFxcUAgJKSEru3CVB+nN0yQGrQoAFGjBiBxYsX49q1a2bfvfPOO/Dx8UFiYqJZ9hwAZGdnY+zYsfD19TU20+dLTU1FdnY2YmNjraaBq10v50al0+nw5JNPYuPGjWbFVdevX8eaNWvw2GOPWdTQnz9/vtnf8+bNA2Boei1neaWlpRZZ8rVq1UJ4eLhFtqW1dcqh0+nw7LPPYt26dYIPups3b8paHker1eLpp5/Gpk2bcPToUYvvxXIIpP7OnuPEadCgAXJycsxyMTMzM7F+/Xo5m1hhOnXqhMOHD2Pnzp3GAKlmzZqIj483voBIyUFSe7vtPcZyKDnOcq4npWnkb+u8efMkF8XYq7S0FM899xwOHjyIH374Ae3btxedd9CgQSgtLcWSJUuM0woLC7F8+XI8+uijxiBT6jKbNWuG9evXW3yaNm2KunXrYv369WZ1t6Sun3Pz5k3s2LEDAwcOrNBWgHzBwcEWL4xcfRohjjgmUpfrqGPSsGFDnDhxwqLX7rVr10Kr1aJ58+Z2bROgznF2m2b+fJMmTcK3336LlJQUs6aIcXFxWLlyJYYPH46HHnoICQkJqFevHtLS0pCUlIRbt25h7dq1aNCggcUyCwoKMGLECLz//vsICgqyuv5WrVoZ0zF06FBUq1YN/fr1M2uWKOTjjz/G9u3b8dhjj2HcuHHw8PDA4sWLUVhYKNg306VLl9C/f3/06tULBw8exKpVqzBs2DC0aNFC1vLu3r2LyMhIDBo0CC1atIC/vz927NiBI0eOWPS9YmudcnzyySfYuXMnHn30Ubzyyito0qQJsrOzcfz4cezYscMsW1aOmTNn4rfffkOXLl0wZswYxMfHIzMzEz/88AP27duH6tWrK/qd3OPEGTp0KN59910MHDgQEyZMwL1797Bw4UI0bNiwQivVStWpUyfMmDED6enpZoFQ586dsXjxYsTExFhkfwtxxHbbe4zlsPc4y7melOjbty++/fZbBAUFoUmTJjh48CB27NihqN6MRqNBly5dsGvXLtF53n77bfz888/o168fsrOzsWrVKrPvR4wYYfz/o48+isGDB+P999/HjRs3EBsbi5UrVxrvuXKXWbNmTTz99NMWaeL63eF/J3X9nP/9738oKSmxWezy9ddf486dO8ZK+Js2bYJerwdgKPrknhFS51PKEcdE6nIddUzeeecdbNmyBZ06dcJrr72GkJAQ/PLLL9iyZQtefvlls2IzRx1nq2S3e6tgps38+UaOHMkACDYzPH36NHv++edZWFgYq1atGqtTpw57/vnnRbtOLyoqYn369GHDhg2TPKTF9OnTWUREBNNqtWbNaW31Mn38+HHWs2dP5u/vz3x9fVm3bt3YgQMHzObhlpGcnMwGDRrEAgICWHBwMHvttddYQUGB7OUVFhayd955h7Vo0YIFBAQwPz8/1qJFC7Omj3LWKbaNQk2Lr1+/zsaPH8+ioqKMx+Lxxx9nS5YssXuZjDF2+fJl9uKLL7LQ0FDm5eXF6tevz8aPH2/RKyyf1N9J2a9Cafvtt99Ys2bNmKenJ2vUqBFbtWqV1Wb+/O0dOXIk8/Pzs0g3v0mt3P0lJDc3l+l0OhYQEMBKSkqM01etWsUAsBdeeMHmMjhStrsijrHcdUg5znxSridraZF6jG/fvs1eeuklVrNmTebv78969uzJ/vnnHxYdHW3WHYDUZv53795lANjQoUOtbl+XLl3Mml3zP3wFBQVs4sSJrE6dOszLy4u1adOGbd26VdEybe0buevntGvXjtWqVcvsfBcSHR0tmlbTfSp1PqUccUzsWS7/t0qPyeHDh1nv3r1ZnTp1WLVq1VjDhg3ZjBkzWHFxsd3LZEz6cbZGw5iKtSLdVFlZGYYNG4b8/HysX78eHh7Oz1ibMmUKpk6dips3b1q0dKlM6ySEVJzNmzejb9++OHXqlNWO/gghblzEpqbExERkZmZi27ZtLhEcEUKII+zcuRNDhw6l4IgQCap8NHD58mUsXbrUok8SrlyUEEIqi9mzZzs7CYS4jSofIEVHR6va9wohhBBC3B/VQSKEEEII4XHLfpAIIYQQQhyJAiRCCCGEEB4KkAghhBBCeChAIoQQQgjhoQCJuJwpU6ZAo9Hg1q1bzk4KIYSQKooCJAIAWLFiBTQaDTQaDfbt22fxPWMMUVFR0Gg06Nu3rxNSqMyCBQuwYsUKi+nJycmYMmWK2WCljpKWlmbcx+vWrbP43jQwvHPnDsLCwtCxY0fBbigOHToErVYrOugyZ9euXXjmmWdQp04deHp6olatWujXrx9++ukni3lzc3MxdepU49hiPj4+aNasGd59913jOFMAMGrUKGg0GjRv3lwwbRqNBq+99hoAw1h8Go0G27ZtE0zfU089haCgILPlq2Xfvn3G/S0UbGdkZGDIkCGoXr06AgMDMWDAAFy8eFHSssvKyrBo0SI8/PDD8Pf3R+3atdG7d28cOHDAbL68vDxMnjwZvXr1Qo0aNaDRaATPQ6B8v/I/jRs3Npvv6tWrGDFiBBo1aoSAgABUr14dbdu2xcqVKy2Oh5xjJVdMTIxgejUaDeLi4ozzFRQUICEhAc2aNUNQUBD8/f3RokULfPnll8ZR2205f/48Bg0ahODgYPj6+uKxxx7Dzp07LeaTug8BwzH87LPPUK9ePXh7e6N58+ZYu3atXcv8888/odFo8J///Mfi9wMGDIBGo8Hy5cstvuvcuTMiIiIk7QNS8ap8P0jEnLe3t3Ekc1O7d++GXq+Hl5eXk1KmzIIFC1CzZk2MGjXKbHpycjKmTp2Krl27IiYmpsLSM23aNDzzzDPQaDSC31evXh1z587F0KFD8c0332DMmDHG70pKSjB27FhER0dj6tSpouuYPHkypk2bhri4OCQmJiI6OhpZWVnYvHkznn32WaxevRrDhg0DAFy8eBE9evTAlStXMHjwYIwZMwaenp44ffo0kpKSsH79eosRt//66y/89NNPePbZZ0XT8Pbbb2PNmjUYN24czpw5Ax8fH+N3P/zwA7Zs2YL58+ebDUqphrKyMrz++uvw8/NDfn6+xfd5eXno1q0bcnJy8MEHH6BatWr4z3/+gy5duuDkyZM2B4N95513MGfOHIwYMQLjxo3DnTt3sHjxYnTp0gX79+9H27ZtAQC3bt3CtGnTULduXbRo0cLqALEA4OXlhaVLl5pN4w92euvWLej1egwaNAh169ZFcXExtm/fjlGjRiElJQUzZ860WK6UYyXX3LlzkZeXZzbt8uXL+PDDD/Hkk08apxUUFODvv//GU089hZiYGGi1Whw4cAD/93//h8OHD2PNmjVW15Oeno727dtDp9PhnXfegZ+fH5YvX44nn3wSv//+Ozp37mw2v5R9CBgGGv/kk0/wyiuvoE2bNti4cSOGDRsGjUaDoUOHylrmI488Al9fX+zbtw//93//ZzbfgQMH4OHhgf379+Oll14yTi8qKsKRI0fQr18/q9tPnMjuUdxIpcINbPnMM8+wmjVrWgwU+Morr7BWrVqx6Oho1qdPH4emxdZgv/Zo2rQp69Kli8X0H374gQFgO3fuVG1dYi5dusQAsIcffpgBYOvWrTP7Xmi7e/fuzYKDg9m1a9eM0z7//HMGgG3evFl0Xdx2DRo0iBUVFVl8v3XrVrZp0ybGGGPFxcWsRYsWzNfXl+3du9di3pycHPbBBx8Y/x45ciTz8fFhDRs2ZM2bN7cY3BkAGz9+vPHvgwcPMq1Wy95//33jtNzcXBYeHs7atWvHSktLRbfDXgsXLmQhISHsjTfeEDyXPv30UwaA/fnnn8ZpZ8+eZTqdziydQoqLi5mPjw8bNGiQ2fSLFy8yAGzChAnGaffv32eZmZmMMcaOHDnCALDly5cLLldsAFup+vbty/z8/MwG55R7rJSaPn06A8D2799vc97XXnuNATDuHzHjxo1jHh4e7J9//jFOy8/PZ1FRUeyRRx4xm1fqPtTr9axatWpm215WVsY6derEIiMjLfahlGV269aN1a5d22zaP//8wwCwYcOGsUaNGpl9d+DAAQaAffnllzaXTZyDitiImeeffx5ZWVnYvn27cVpRURF+/PFHY24D3+eff44OHTogJCQEPj4+aNWqFX788UeL+bjs/A0bNqBZs2bw8vJC06ZNsXXrVsHl3rlzB6NGjUL16tURFBSEl156Cffu3TObZ/ny5ejevTtq1aoFLy8vNGnSBAsXLjSbJyYmBn///Td2795tzB7v2rUrVqxYgcGDBwMAunXrZvyOe8vfuHEj+vTpg/DwcHh5eaFBgwaYPn06SktLzZbftWtXNGvWDMnJyejWrRt8fX0RERGBzz77THC7hg4dioYNG2LatGk2e3FfsGABCgsL8dZbbwEwvE1PmTIFzz33HHr37i36u3//+9+oUaMGli1bhmrVqll837NnT2NR6bp163Dq1ClMmjTJIucQAAIDAzFjxgyzaVqtFh9++CFOnz6N9evXW92Gdu3aYezYsfj888+RnJwMAPjwww9x48YNLFmyBFqtureh7OxsfPjhh5g2bRqqV68uOM+PP/6INm3aoE2bNsZpjRs3xuOPP47vv//e6vKLi4tRUFCA2rVrm02vVasWtFqtWS6Zl5cX6tSpIyv9paWlyM3NlfUbwHCe37t3D0VFRWbT5RwrpdasWYN69eqhQ4cONuflcmzv3Lljdb69e/eiZcuWaNSokXGar68v+vfvj+PHjyM1NdXiN7b24caNG1FcXIxx48YZp2k0Grz66qvQ6/U4ePCg7GU+9thjuH79Os6fP2+ctn//fgQGBmLMmDFISUkxK+rdv3+/8XfENVGARMzExMSgffv2ZmXxW7ZsQU5OjkW2M+fLL79Ey5YtMW3aNMycORMeHh4YPHgwfv31V4t59+3bh3HjxmHo0KH47LPPcP/+fTz77LPIysqymHfIkCG4e/cuZs2ahSFDhmDFihUWRUoLFy5EdHQ0PvjgA3zxxReIiorCuHHjMH/+fOM8c+fORWRkJBo3boxvv/0W3377LSZNmoTOnTtjwoQJAIAPPvjA+F18fDwAQ70sf39/vPXWW/jyyy/RqlUrfPTRR3jvvfcs0nr79m306tULLVq0wBdffIHGjRvj3XffxZYtWyzm1el0+PDDD3Hq1CmbD6yYmBhMnToVa9aswfbt2zFhwgR4eHhg7ty5or9JTU3FP//8g6effhoBAQFWlw8AP//8MwDghRdesDmvqWHDhiEuLk5SoDdr1iyEhoYiMTERx44dw/z58zFx4kSHDJr673//G3Xq1EFiYqLg92VlZTh9+jRat25t8V3btm1x4cIF3L17V3T5Pj4+ePTRR7FixQqsXr0aV65cwenTpzFq1CgEBwebFYfKde/ePQQGBiIoKAg1atTA+PHjLYqxOAUFBbh16xbS0tKwcuVKLF++HO3btzcL0DhyjpW9Tpw4gbNnz4q+SBUVFeHWrVtIT0/H+vXr8fnnnyM6OhqxsbFWl1tYWCi4Tb6+vgCAY8eOmU2Xsg9PnDgBPz8/47XO4YpGT5w4IXuZXKBjWodz//79aNeuHR599FFUq1bNrI7a/v37ERAQgBYtWljdfuJETs7BIi6CK2I7cuQI+/rrr1lAQAC7d+8eY4yxwYMHs27dujHGmGARGzcfp6ioiDVr1ox1797dbDoA5unpyc6fP2+cdurUKQaAzZs3zziNK2oaPXq02e8HDhzIQkJCrK6bMcZ69uzJ6tevbzbNniI2oWUnJiYyX19fdv/+feO0Ll26MADsv//9r3FaYWEhq1OnDnv22WeN07gittmzZ7OSkhIWFxfHWrRoYSz2ECtaLC4uZg8//DCrUaMGA8AWL15skS5TGzduZADYf/7zH6vzcVq2bMmCgoIkzcuYeZHDypUrGQD2008/Gb+HSLHNjz/+yACwGjVqsPr16wvuX6VOnTrFdDod27ZtG2NMeJ/evHmTAWDTpk2z+P38+fMZALPiHCGpqanskUceYQCMn/r161v9na0itvfee4+9++677H//+x9bu3YtGzlyJAPAOnbsaFHkzRhjs2bNMlv/448/zq5cuWI2j73Hyh5vv/02A8CSk5MFv1+7dq1Zelu3bs1Onz5tc7n9+vVj1atXZ7m5uWbT27dvzwCwzz//3DhN6j7s06ePxT2CMUPRHQD23nvvyV5mbm4u0+l0LCEhwTitUaNGbOrUqYwxxtq2bcveeecd43ehoaHsiSeesLn9xHkoB4lYGDJkCAoKCvDLL7/g7t27+OWXX0TfCgGYvd3dvn0bOTk56NSpE44fP24xb48ePdCgQQPj382bN0dgYKBg66GxY8ea/d2pUydkZWWZZXObrjsnJwe3bt1Cly5dcPHiReTk5EjbYAnbdffuXdy6dQudOnXCvXv38M8//5jN6+/vjxEjRhj/9vT0RNu2bUVbRZnmIm3YsMFqOjw8PLBkyRJkZ2ejXbt2eOWVV6zOz+0fKblH3PxS5+UbPny45JyJZ599Fk899RSys7Mxf/58wVwBpSZMmIDevXubVRLmKygoAADBBgfe3t5m84gJCAhA06ZNMX78ePz0009YsGABSkpK8PTTT9vdPcWsWbPwySefYMiQIRg6dChWrFiBGTNmYP/+/YJF1s8//zy2b9+ONWvWGK9Pa+mWc6zkKisrw3fffYeWLVta5MpwunXrhu3bt+OHH37A2LFjUa1aNcEK9Hyvvvoq7ty5g+eeew4nTpzAuXPn8Oabb+Lo0aMAzLdZ6j4sKCiQfPylLjMgIADNmzc35iDdunULKSkpxuLGjh07GovVzp07h5s3b1LxmoujAIlYCA0NRY8ePbBmzRr89NNPKC0txaBBg0Tn/+WXX9CuXTt4e3ujRo0aCA0NxcKFCwUDlLp161pMCw4Oxu3bt23OGxwcDABm8+7fvx89evSAn58fqlevjtDQUHzwwQcAoDhA+vvvvzFw4EAEBQUhMDAQoaGhxiCIv+zIyEiLFmli28UZPnw4YmNjJT2wuLoyrVq1Mq6noKAA165dM/sAhjpDAKwWE5kKDAyUPC8fF+idPHnSZqAHlG+HUPGWUv/73/9w4MABfPHFF1bn4wKzwsJCi+/u379vNo+QkpIS9OjRA0FBQfj6668xcOBAvPrqq9ixYwcuXLiA2bNnK9gKc//3f/8HrVaLHTt2WHwXHR2NHj164Pnnn8fq1atRv3599OjRQzRIknus5Ni9ezcyMjIwfPhw0Xlq166NHj16YNCgQVi4cCH69u2LJ554wnjeiunduzfmzZuHPXv24JFHHkGjRo3w66+/GuvF+fv7W/290D708fGx+/iLLRMwFLNxdY0OHDgAnU6Hdu3aAQA6dOiAY8eOobCwkOofuQkKkIigYcOGYcuWLVi0aBF69+4tWtl179696N+/P7y9vbFgwQJs3rwZ27dvx7BhwwQf+jqdTnA59sx74cIFPP7447h16xbmzJmDX3/9Fdu3bzc2sy0rK5OyqYLu3LmDLl264NSpU5g2bRo2bdqE7du349NPPxVctpztMv0N98DauHGj7DT+73//Q1hYmNkHgLF/lr/++kvScho3boycnBykp6fLTgMgL9BzpHfeeQeDBw+Gp6cn0tLSkJaWZqwAnJ6ebuxrqUaNGvDy8kJmZqbFMrhp1rod2LNnD86cOYP+/fubTY+Li0N8fLzx4acGHx8fhISEIDs72+a8gwYNQnp6Ovbs2SM6j6OO1erVq6HVavH8889L/s2gQYOQl5cn6dx/7bXXcP36dRw4cABHjx7FP//8Y2xm37BhQ6u/FdqHYWFhuHbtmsU+kHL8xZYJlAc8+/fvx/79+/HQQw8ZA7gOHTqgsLAQR44cwb59++Dh4WEMnohron6QiKCBAwciMTERhw4dwv/+9z/R+datWwdvb29s27bNLMtaqFM0tW3atAmFhYX4+eefzXKbhDqQE+tvSGz6rl27kJWVhZ9++smsn5VLly4pTLW5ESNG4OOPP8bUqVMtHri29OzZ06y1Iadhw4Zo1KgRNm7ciC+//NLmG3a/fv2wdu1arFq1Cu+//76sNADlgd6oUaPsCvTUkp6ejjVr1gj2q/PII4+gRYsWOHnyJLRaLR566CFjEY2pw4cPo379+laLHK9fvw4AFq0ZAUMLt5KSEgVbYY4r2g0NDbU5L5dzZC3n1BHHqrCwEOvWrUPXrl1l9WclJb2m/Pz80L59e+PfO3bsgI+PDzp27Gj1d0L78OGHH8bSpUtx9uxZNGnSxDj98OHDxu/lLhMwr6h98OBBs7SFh4cjOjraGDy1bNnSWNGcuCbKQSKC/P39sXDhQkyZMsVqR2Y6nQ4ajcbsYZGWlqZ6Fr7YugHzXJqcnBzB4MzPz0+wObGfnx8Ay6bGQssuKirCggULlCbbYj1cLhLXmkyqsLAw9OjRw+zDmTp1KrKysvDyyy8LPrB/++03/PLLLwAMb/IPPfQQZsyYIdi8+e7du5g0aZLVtIwYMQKxsbFWO650tPXr11t8nnvuOQDAf//7X7NejgcNGoQjR46YBUkpKSn4448/jF0/cP755x9cuXLF+DeXY/Hdd9+ZzXf8+HGkpKSgZcuWstN+//59wWLO6dOngzGGXr16GafdvHlTcBlJSUnQaDR45JFHrK5L7WO1efNm3LlzR7R47datW4K5VVzHi6bFrTk5Ofjnn39sBk0HDhzATz/9hISEBGNOkpx9OGDAAFSrVs3semaMYdGiRYiIiDDWG5KzTMAQBNWrVw+///47jh49atHdQYcOHbBhwwakpKRQ8ZoboBwkImrkyJE25+nTpw/mzJmDXr16YdiwYbhx4wbmz5+P2NhYnD592qHpe/LJJ+Hp6Yl+/fohMTEReXl5+Oabb1CrVi2L4pNWrVph4cKF+PjjjxEbG4tatWqhe/fuePjhh6HT6fDpp58iJycHXl5e6N69Ozp06IDg4GCMHDkSEyZMgEajwbfffuuQIqThw4dj+vTpOHnypGrLfO655/DXX39hxowZOHHiBJ5//nljT9pbt27F77//bsxpqVatGn766Sf06NEDnTt3xpAhQ9CxY0dUq1YNf//9N9asWYPg4GCLvpBM6XQ6TJo0yaynYHuMGjUKK1euxKVLl2T3bP70009bTOP2ae/evVGzZk3j9HHjxuGbb75Bnz59MHHiRFSrVg1z5sxB7dq18fbbb5stIz4+Hl26dDH2j9WqVSs88cQTWLlyJXJzc/Hkk08iMzMT8+bNg4+PD958802z33/99de4c+eOsYhv06ZN0Ov1AIDXX38dQUFBuHbtGlq2bInnn3/eWES6bds2bN68Gb169cKAAQOMy+MqCPfq1Qt169ZFdnY21q1bhyNHjuD111+32WxerWPFWb16Nby8vER76V61ahUWLVqEp59+GvXr18fdu3exbds2bN++Hf369UP37t2N865fvx4vvfQSli9fbuz1/vLlyxgyZAj69++POnXq4O+//8aiRYvQvHlzs17D5ezDyMhIvPnmm5g9ezaKi4vRpk0bbNiwAXv37sXq1auNL0hylsl57LHH8O233wKARe5Whw4djF2oUIDkBiq62RxxTabN/K0RauaflJTE4uLimJeXF2vcuDFbvny5sXm1KYg0KY6OjmYjR440/i3W3J1L46VLl4zTfv75Z9a8eXPm7e3NYmJi2KeffsqWLVtmMd+1a9dYnz59WEBAAANg1uT/m2++YfXr12c6nc6syf/+/ftZu3btmI+PDwsPD2f/+te/2LZt2yy6BejSpQtr2rSpxXaNHDmSRUdHG/82bebPx22b0Hbb2n/W/P7772zAgAGsVq1azMPDg4WGhrJ+/fqxjRs3Wsx7+/Zt9tFHH7GHHnqI+fr6Mm9vb9asWTP2/vvvm/V2LNazcHFxMWvQoIHVdNrqJf3ZZ59lPj4+7Pbt27K2U4y19aWnp7NBgwaxwMBA5u/vz/r27ctSU1Mt5uOfL4wZuoCYNm0aa9KkCfPx8WFBQUGsb9++7MSJExa/j46ONmvebvrhztHbt2+zESNGsNjYWObr68u8vLxY06ZN2cyZMy16Qv/tt99Y3759WXh4OKtWrRoLCAhgHTt2ZMuXL7foKVvJsZIiJyeHeXt7s2eeeUZ0niNHjrDBgwezunXrMi8vL+bn58ceeeQRNmfOHIvuC7jrwLQrhOzsbDZgwABWp04d5unpyerVq8feffddi2b/cvYhY4yVlpaymTNnsujoaObp6cmaNm3KVq1apWiZjDG2ePFiBoBFRERYfHf8+HHjsb9+/broPiOuQcOYE2tVEkKIidq1a+PFF19UtSUYIYTYgwIkQohL+Pvvv9G+fXtcvHjRrDiMEEKcgQIkQgghhBAeasVGCCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCE+VC5D27NmDfv36ITw8HBqNRvaYYffv38eoUaPw0EMPwcPDQ3B4A8AwgOOkSZMQHR0NLy8vxMTEYNmyZco3gBBCCCEOV+XGYsvPz0eLFi0wevRoPPPMM7J/X1paCh8fH0yYMAHr1q0TnW/IkCG4fv06kpKSEBsbi8zMTJSVlSlJOiGEEEIqSJULkHr37o3evXuLfs/l/KxduxZ37txBs2bN8Omnn6Jr164ADKO/L1y4EACwf/9+wRHit27dit27d+PixYuoUaMGAMgeeJMQQgghzlPlithsee2113Dw4EF89913OH36NAYPHoxevXohNTVV8jJ+/vlntG7dGp999hkiIiLQsGFDTJw4EQUFBQ5MOSGEEELUUuVykKy5cuUKli9fjitXriA8PBwAMHHiRGzduhXLly/HzJkzJS3n4sWL2LdvH7y9vbF+/XrcunUL48aNQ1ZWFpYvX+7ITSCEEEKICihAMvHXX3+htLQUDRs2NJteWFiIkJAQycspKyuDRqPB6tWrERQUBACYM2cOBg0ahAULFsDHx0fVdBNCCCFEXRQgmcjLy4NOp8OxY8eg0+nMvvP395e8nLCwMERERBiDIwCIj48HYwx6vR5xcXGqpZkQQggh6qMAyUTLli1RWlqKGzduoFOnTnYvp2PHjvjhhx+Ql5dnDKzOnTsHrVaLyMhItZJLCCGEEAepcpW08/LycPLkSZw8eRIAcOnSJZw8eRJXrlxBw4YNMXz4cLz44ov46aefcOnSJfz555+YNWsWfv31V+MykpOTcfLkSWRnZyMnJ8dseQAwbNgwhISE4KWXXkJycjL27NmDd955B6NHj6biNUIIIcQNaBhjzNmJqEi7du1Ct27dLKaPHDkSK1asQHFxMT7++GP897//RUZGBmrWrIl27dph6tSpeOihhwAYmuxfvnzZYhmmu/Kff/7B66+/jv379yMkJARDhgzBxx9/TAESIYQQ4gaqXIBECCGEEGJLlStiI4QQQgixhQIkQgghhBCeKtGKraysDFevXkVAQAA0Go2zk0MIIYQQCRhjuHv3LsLDw6HVVmyeTpUIkK5evYqoqChnJ4MQQgghdkhPT6/wbnKqRIAUEBAAwLCDAwMDnZwaQgghhEiRm5uLqKgo43O8IlWJAIkrVgsMDKQAiRBCCHEzzqgeQ5W0CSGEEEJ4KEAihBBCCOGhAIkQQgghhIcCJEIIIYQQHgqQCCGEEEJ4KEAihBBCCOGhAIkQQgghhMctAqSYmBhoNBqLz/jx452dNEIIIYRUQm7RUeSRI0dQWlpq/PvMmTN44oknMHjwYCemihBCCCGVlVsESKGhoWZ/f/LJJ2jQoAG6dOnipBQRQgghpDJziyI2U0VFRVi1ahVGjx7tlK7HCSGEEFL5uUUOkqkNGzbgzp07GDVqlOg8hYWFKCwsNP6dm5tbASkjhBBCSGXhdjlISUlJ6N27N8LDw0XnmTVrFoKCgoyfqKioCkwhIYQQQtydhjHGnJ0IqS5fvoz69evjp59+woABA0TnE8pBioqKQk5ODgIDAysiqYQQQghRKDc3F0FBQU55frtVEdvy5ctRq1Yt9OnTx+p8Xl5e8PLyqqBUEUJI5ZCfD/j7G/6flwf4+Tk3PYQ4k9sUsZWVlWH58uUYOXIkPDzcKq4jhBBCiJtxmwBpx44duHLlCkaPHu3spBBCCCGkknObrJgnn3wSblRdihBCCCFuzG1ykAghhBBCKgoFSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPBQgEUIIIYTwUIBECCGEEMJDARIhhBBCCA8FSIQQQgghPG4TIGVkZGDEiBEICQmBj48PHnroIRw9etTZySKEEEJIJeTh7ARIcfv2bXTs2BHdunXDli1bEBoaitTUVAQHBzs7aYQQQgiphNwiQPr0008RFRWF5cuXG6fVq1fPiSkihBBCSGXmFkVsP//8M1q3bo3BgwejVq1aaNmyJb755hvR+QsLC5Gbm2v2IYQQQgiRyi0CpIsXL2LhwoWIi4vDtm3b8Oqrr2LChAlYuXKl4PyzZs1CUFCQ8RMVFVXBKSaEEEKIO9MwxpizE2GLp6cnWrdujQMHDhinTZgwAUeOHMHBgwct5i8sLERhYaHx79zcXERFRSEnJweBgYEVkmZCCHE3+fmAv7/h/3l5gJ+fc9NDSG5uLoKCgpzy/HaLHKSwsDA0adLEbFp8fDyuXLkiOL+XlxcCAwPNPoQQQgghUrlFgNSxY0ekpKSYTTt37hyio6OdlCJCCCGEVGZuESD93//9Hw4dOoSZM2fi/PnzWLNmDZYsWYLx48c7O2mEEEIIqYTcIkBq06YN1q9fj7Vr16JZs2aYPn065s6di+HDhzs7aYQQQgiphNyikrZSzqzkRQgh7oIqaRNXQ5W0CSGEEEJcCAVIhBBCCCE8FCARQgghhPBQgEQIIYQQwiMrQLp37x5OnDiBu3fvWny3f/9+1RJFCCGEEOJMkgOkQ4cOITo6Gn379kXt2rXx8ccfm33fu3dv1RNHCCGEEOIMkgOkt956C19//TUyMjJw6tQp/PLLL3jxxRfB9RJQBXoLIIQQQkgVITlASk5OxnPPPQcAiIuLw65du5CdnY2BAweiqKjIYQkkhLi//HxAozF88vOdnRpCCLFNcoAUFBSEjIwM49/e3t7YsGEDfHx80LNnT5SVlTkkgYQQQgghFU1ygNSjRw8sX77cbJqHhwfWrFmD2NhYFBQUqJ44QgghhBBnkDzUSFFREUpKSuDr6yv4/ZUrV1C3bl1VE6cWGmqEEOeiISzcAx0n4mqc+fz2kDqjp6cnPD09Rb931eCIEEIIIUQuyQGSNfv27cOyZctw8eJF3L5926JFm0ajwalTp9RYFSGEEEKIwykOkObMmYN33nkH3t7eaNSoEWrUqKFGugghhFQwTYYeXZGKVMQBiHR2cghxKsUB0uzZs9GxY0ds2rQJQUFBaqSJEEJIRUtKgs+YMdiJMpRCi5KVS4BxCc5OFSFOo3gstnv37mH48OEUHBFCiLvS64ExY6B50F2LDmXwnJBomE5IFaU4QOrWrRv++usvNdJCCCHEGVJTAV5fdprSUuD8eScliBDnUxwgzZs3D7///js+//xzZGdnq5EmQgghFSkuDtCaPw6YTgfExjopQYQ4n+IAKSoqComJiXjvvfcQGhoKPz8/BAYGmn2o+I0QQlxYZCSwZIkhKAJQAh2KvlpsmE5IFaW4kvZHH32EGTNmICIiAq1bt6ZgiBBC3FFCAgo69cRTjc7jPGKRMjISXs5OEyFOpDhAWrRoEfr06YMNGzZAq1WcIUUIIcRJWEQkdlPzfkIAqFDEVlRUhD59+lBwRAghhJBKQ3FU07dvX+zdu1eNtBBCCCGEuATFAdLkyZORnJyMcePG4dixY7h58yays7MtPoQQQggh7kLD+AOnyWRatKbRaETnKy0tVbIaRZw5GjAhhEaJdxd0nIircebzW5VWbNYCI0IIIYQQd6M4QJoyZYoKySCEVDamuRHXrzs3LYQQIhc1PSOEEEII4VEcIJWUlCA3N1f0+9zcXJSUlChdDSGEEEJIhVEcIE2YMAEdOnQQ/b5jx454++23la6GEEIIIaTCKA6Qtm7dikGDBol+P2jQIGzevFnpagghhBBCKoziAOnq1auIiIgQ/T48PBwZGRlKV0MIIYQQUmEUB0ghISFISUkR/f7s2bPU9xAhhBBC3IriAKlXr15YvHgxTpw4YfHd8ePHsWTJEvTu3VvpagghhBBCKozifpCmT5+OrVu3om3btujfvz+aNm0KADhz5gw2bdqEWrVqYfr06YoTSgghhBBSURQHSOHh4Th69Cjee+89bNy4EevXrwcABAYGYvjw4Zg5cybCw8MVJ5QQQgghpKLYFSB9/vnn6Nu3Lxo3bgwACAsLw8qVK8EYw82bNwEAoaGhNAQJIYQQQtySXXWQPvvsMzRt2hT169fH66+/jq1bt6KwsBAajQa1atVCrVq1VA2OpkyZAo1GY/bhgjNCCCHqo8bHpKqzK0C6fv069u/fjxdeeAEHDx5Enz59EBISgn79+mHRokW4cuWK2ulE06ZNkZmZafzs27dP9XUQQkhVtnJl+f/j44GkJOelhRBn0zDGmNKFXL9+Hb/++iu2bNmC7du34+7du2jSpAn69OmDvn37okOHDtBq7W8wN2XKFGzYsAEnT5606/e5ubkICgpCTk4OdTlASAXhD1Zbu7bh/3l5gJ+f89JFhOn1QHQ0UFZWPk2nA9LSgMhIpyWLVHHOfH6rMlht7dq1MXr0aPzwww+4desWduzYgV69emHTpk3o3LkzatasiaFDh+Lw4cN2ryM1NRXh4eGoX78+hg8f7pBcKkIIqapSU82DIwAoLQXOn3dOeghxNlVykKxJS0vDr7/+is2bN6Nbt26YOHGi7GVs2bIFeXl5aNSoETIzMzF16lRkZGTgzJkzCAgIsJi/sLAQhYWFxr9zc3MRFRVFOUiEVCDKQXIvlINEXJEzc5AcHiA5wp07dxAdHY05c+YgISHB4vspU6Zg6tSpFtMpQCKk4lCA5H4WLADGjzf8X6cDFi8GBG6xhFQYtwqQ7C3aqlu3rl2/E9OmTRv06NEDs2bNsviOcpAIcT4KkNyP6TFLSQEaNnRueghxZoAkux+kmJgYu5rwl5aWyv6NmLy8PFy4cAEvvPCC4PdeXl7w8vJSbX2EEFJVRECPOKQiEnEAqGyNVF2yA6Rly5ZVeAeQEydORL9+/RAdHY2rV69i8uTJ0Ol0eP755ys0HYQQUpl5LFkAPQxlbCxeCyxZQmVspMqSHSCNGjXKAcmwTq/X4/nnn0dWVhZCQ0Px2GOP4dChQwgNDa3wtBBCSKWk18Nz4uvGPzVlZUBiItCzJ9XSJlWS4rHYTOXl5SE9PR0AEBUVBX+uMFuh7777TpXlEEIIEZGaagiKTHHt/ClAIlWQKv0gHTlyBN26dUNwcDCaNWuGZs2aITg4GN27d8fRo0fVWAUhhBBHiosD43foq9MBsbHOSQ8hTqY4B+nw4cPo2rUrPD098fLLLyM+Ph4AcPbsWaxduxadO3fGrl270LZtW8WJJYQQ4iCRkSiatwS68YnwQCmYTgfN4sWUe0SqLMX9IPXo0QNpaWnYt28f6tSpY/bd9evX0bFjR9SrVw/bt29XlFAlaKgRQiqeaZPxEyeAli0N/6dm/q4rPx9o5K9HLM5jc0osfBtScEScy62HGjl8+DASExMtgiPAMATJmDFjcOjQIaWrIYS4GdOBT1u1cl46iDwZiMRudAWLoOCIVG2KAyStVouSkhLR70tLSxUNVEsIcT96PfB6eYMoizG+CCHE1SmOXDp06ID58+fj8uXLFt9duXIFCxYsQMeOHZWuhhDiRoQGPiWEEHeiuJL2zJkz0blzZzRu3BgDBw5Ewwd906ekpGDjxo3w8PAQHA6EEFJ5xcUBWq1wkJSRQUNYEEJcn+IAqWXLljh8+DAmTZqEn3/+Gffu3QMA+Pr6olevXvj444/RpEkTxQklhLiPyEhg3rzygU81GoBrDhIfTx00E0Jcn+JWbKbKyspw8+ZNAEBoaKjL1D2iVmyEVDzTVmz83CSdDkhLoxbkrsb0mFFrQ+IK3GqwWmu0Wi1qc0N2E0LIA9RBMyHE3agSIO3btw/Lli3DxYsXcfv2bfAzpTQaDU6dOqXGqgghbkgoB4k6aCaEuDLFAdKcOXPwzjvvwNvbG40aNUKNGjXUSBchpBL5/HPgrbcM/9fpAOqgmRDi6hTXQQoLC0NcXBw2bdqEoKAgtdKlKqqDREjFM63Pcv06wJW+p6RQKzZXRXWQiKtx65607927h+HDh7tscEQIcS2NGhkexIQQ4soUB0jdunXDX3/9pUZaCCGEEEJcguIAad68efj999/x+eefIzs7W400EUIIIYQ4leIAKSoqComJiXjvvfcQGhoKPz8/BAYGmn2o+I2Qqo16/yCEuBvFrdg++ugjzJgxAxEREWjdujUFQ4QQQghxe4oDpEWLFqFPnz7YsGGDy/ScTQghhBCihOKIpqioCH369KHgiBBCCCGVhuKopm/fvti7d68aaSGEEEIIcQmKA6TJkycjOTkZ48aNw7Fjx3Dz5k1kZ2dbfAghhBBC3IXinrRNi9Y0Go3ofKWlpUpWowj1pE1IxTPtlZmPeml2TdSTNnE1znx+q9KKzVpgRAghhBDibhQHSFOmTFEhGYQQQgghroOanhFCCCGE8FCARAghhBDCQwESIYQQQggPBUiEEEIIITwUIBFCCCGE8FCARAghhBDCQwESIYQQQgiPwwOk7t27Y8SIEUhOTnb0qgghLsTPD2AMuH7d2SkhhBD5HB4g7dq1C2vWrEHz5s3xwgsvOHp1hBBCCCGKOTxAKisrw927d/Hzzz8jLCzM0asjhBBCCFFM8VAjUvj5+eGpp57CU089VRGrI4Tw0CCkhBAij6oBUl5eHm7fvg3GmMV3devWVXNVhBBCCCEOozhAun//PqZOnYqkpCRkZWWJzldaWqp0VYQQQgghFUJxgDRu3DisXLkSTz/9NDp16oTg4GA10iXqk08+wfvvv4833ngDc+fOdei6CCGEEFI1KQ6QfvrpJ7z88stYvHixGumx6siRI1i8eDGaN2/u8HURQgghpOpS3IpNo9HgkUceUSMtVuXl5WH48OH45ptvHJ5LRQghhJCqTXGANGDAAOzYsUONtFg1fvx49OnTBz169LA5b2FhIXJzc80+hBDnWL3a2SkghBD5FAdI//73v3Hx4kWMGTMGx44dw82bN5GdnW3xUeK7777D8ePHMWvWLEnzz5o1C0FBQcZPVFSUovUTQuyj1wMTJ1pOz8io+LQQQogciusgxcXFAQBOnDiBpKQk0fnsbcWWnp6ON954A9u3b4e3t7ek37z//vt46623jH/n5uZSkESIE6SmAmVlltMvXAAaNqz49BBCiFSKA6SPPvoIGo1GjbQIOnbsGG7cuGFWz6m0tBR79uzB119/jcLCQuh0OrPfeHl5wcvLy2FpIoRIExcHaLWWQVKDBs5JDyGESKU4QJoyZYoKyRD3+OOP46+//jKb9tJLL6Fx48Z49913LYIjQojriIwEPv8cMMnQBQBERDgnPYQQBzLtsj8lxe2ziR0+FptSAQEBaNasmdnHz88PISEhaNasmbOTRwixYfhwZ6eAEFIRCpesNP6fxccDVqrduANVhhrZt28fli1bhosXLwoONaLRaHDq1Ck1VkUIqQQyMtz+5ZIQYkqvh+fE141/asrKgMREoGdPQ1ayG1IcIM2ZMwfvvPMOvL290ahRI9SoUUONdFm1a9cuh6+DEOI48fHAkiVAQoKzU0IIUUVqqiEoMlVaCpw/X3UDpNmzZ6Njx47YtGkTgoKC1EgTIaSSqwQvl4QQU3FxYFqteZCk0wGxsc5Lk0KK6yDdu3cPw4cPp+CIECJIrKNI7uWSEFIJREai6PN5xj+ZTgcsXuzWb0CKA6Ru3bpZtDIjhBBAvKNIwO1fLgkhPCVjxiES6eiKnShITnP7MnTFAdK8efPw+++/4/PPP1fcYzYhpHIR6yhSq3X7l0tCiIAMRGI3uoJFuP/FrThAioqKQmJiIt577z2EhobCz88PgYGBZh8qfiOkauI6iuTbudPtXy4rHdMubAghKvWkPWPGDERERKB169YUDBFCjMQ6imzVyjnpIYQQqRQHSIsWLUKfPn2wYcMGaIVeFQkhVdrw4ZYBEiGEuDrFEU1RURH69OlDwREhhBBCKg3FUU3fvn2xd+9eNdJCCCGEEOISFAdIkydPRnJyMsaNG4djx47h5s2byM7OtvgQQgghhLgLxXWQGjVqBAA4efIkFi9eLDpfaWmp0lURQiqSXm9opx8XR+3xCSFVjiqt2DQajRppIYS4iqQkYMwYQydGWi0NnEaqLNPuD/LyAD8/56aHVBzFAdKUKVNUSAZxG5SrUPnp9eXBEUADpxFCqiRqekakS0oCoqOB7t0N/yYlOTtFxBGEur+mgdMIIVUMBUhEGrFcBb3eueki6hPq/poGTiOEVDGKAyStVgudTmfzQ9wc5SpUHZGRhjpH3HVbCUblJoQQuRxSSbu0tBRpaWnYsGEDGjVqhL59+ypdDXE2LlfBNEiiXIXKKyHBUOfo/HnDMabgiBBSxTi0knZmZibatWuHhg0bKl0NcTYuVyEx0ZBzRLkKlV9kJB1fQkiV5dA6SGFhYRg7diymT5/uyNWQipKQAKSlGYZiT0ujZt+EEEIqLcU5SLb4+fnh0qVLjl6NS6gS/WVQrgIhhJAqwKE5SGfOnMFXX31FRWyEVGGV8kWBEFLpKc5BqlevnmBP2nfu3EFOTg58fX2xYcMGpashhBBCnMrfvxKXDhALigOkLl26WARIGo0GwcHBaNCgAYYOHYoaNWooXQ0hhBBCSIVRHCCtWLFChWQQQgghhLgO6kmbEEIIIYRHdg7SlStX7FpR3bp17fodIaTyobochBBXJztAiomJEayUbUtpaans3xBCCCGEOIPsAGnZsmV2BUiEEEIIIe5CdoA0atQoBySDEEIIcT0rV1r+PW6cc9JCKpaqlbTz8vJw9uxZnD17Fnl5eWoumhBCiAMJBQJVnV4PvP66+bQJEwzTSeWnSoB05MgRdOvWDcHBwWjWrBmaNWuG4OBgdO/eHUePHlVjFYQQQhyEAgFhqalAWZn5tNJS4Px556SHVCzF/SAdPnwYXbt2haenJ15++WXEx8cDAM6ePYu1a9eic+fO2LVrF9q2bas4sYQQQtRnLRCoykMvxsUBWq35vtHpgNhY56WJVBzFAdKkSZMQERGBffv2oU6dOmbfTZkyBR07dsSkSZOwfft2pasihBDiABQICIuMBObNA8aPL5/21VdVO2isShQXsR0+fBiJiYkWwREA1K5dG2PGjMGhQ4eUroYQUkHy8wGNxvDJz3d2akhF4AIBUxQIGIwcaf1vUnkpDpC0Wi1KSkpEvy8tLYVWSx12E0KIK6NAgBBziiOXDh06YP78+bh8+bLFd1euXMGCBQvQsWNHpashrkSvB3bupBqchBBCKi3FdZBmzpyJzp07o3Hjxhg4cCAaNmwIAEhJScHGjRvh4eGBWbNmKU4ocRFJScCYMYbKClotsGQJkJDg7FQRF+bnBzBmKK7z93d2agghRBrFOUgtW7bE4cOH0atXL/z888+YNm0apk2bhk2bNqFXr144dOgQWrRooWgdCxcuRPPmzREYGIjAwEC0b98eW7ZsUZp0IpdeXx4cAYZ/ExMpJ4mQSobGySNKZWQ4OwXKKc5BAoAmTZpg/fr1KCsrw82bNwEAoaGhqtU9ioyMxCeffIK4uDgwxrBy5UoMGDAAJ06cQNOmTVVZB5GA2gITQggRYdq5aHy8+xcwKI5gSkpKkJuba1iYVovatWujdu3axuAoNzfXaiVuKfr164ennnoKcXFxaNiwIWbMmAF/f39qHVfRuLbApqgtMJHIz8+QM0EIqXz4nY1WhgIGxQHShAkT0KFDB9HvO3bsiLffflvpaoxKS0vx3XffIT8/H+3btxecp7CwELm5uWYfl+DulZu3bTNUJuFotcDixZR7RAghVVxl7HVccYC0detWDBo0SPT7QYMGYfPmzUpXg7/++gv+/v7w8vLC2LFjsX79ejRp0kRw3lmzZiEoKMj4iYqKUrx+xZKSgOhooHt3w79JSc5OkTxc/SPTAAkAevZ0TnoIIYS4jMpYwKA4QLp69SoiIiJEvw8PD0eGCrW1GjVqhJMnT+Lw4cN49dVXMXLkSCQnJwvO+/777yMnJ8f4SU9PV7x+RSpD5Wah14OyMvd+PSCEEKIKfmejOp37FzAorqQdEhKClJQU0e/Pnj2LwMBApauBp6cnYh+Eoq1atcKRI0fw5ZdfYvHixRbzenl5wcvLS/E6VVMZKjfTWASEEEKsGDmyfFiW5GTgQa8/bktxDlKvXr2wePFinDhxwuK748ePY8mSJejdu7fS1VgoKytDYWGh6st1iMqQ9xgZaWiSoNMZ/q4MrweEEEIcwkrBkttQnIM0ffp0bN26FW3btkX//v2Nze7PnDmDTZs2oVatWpg+fbqidbz//vvo3bs36tati7t372LNmjXYtWsXtm3bpjT5FYMLLhITDTlHzgou9HpDblZcnH3rTkgw1Dk6f94Q3FFwRAghpJJSHCCFh4fj6NGjeO+997Bx40asX78eABAYGIjhw4dj5syZCA8PV7SOGzdu4MUXX0RmZiaCgoLQvHlzbNu2DU888YTS5FccZwcXavWAHRlJgREhhJBKT8MYv1mS/RhjZh1FajQatRatSG5uLoKCgpCTk6NKfSgxpkMpuFRPtHq9oeUcv/5QWhoFO1WEnHPTkeexy14jxOzY5Kfo4ZuhILe5EuEPkVOZzlu1r0dHXN8V9fwWok5X1w9oNBrUqlULtWrVcpngiKBydlBBCHGI0UiCT7wbd0lC7FIZhgZRm6oBEnFRlaGSOCHE4SKgxxKMgcaduyRRWWXuAZ4/NAjFwuYoQKoKqAUaIUSCOKRCB8ptrgoq49AgaqMAqapISDDUOdq50/CvO48gSCoFytJ3PamIQyn/sUC5zQAMuWtdsROajMoRQVDNC9soQKpKIiOBrl0p54g4DWXpu7YMRGIMloBRbrMZj5VJuIxo7ER3Q/2sSnDiUs0L2yhAchBNhpsPTGuLuw+8SyocZem7h2VIQEFyGuU2c/R6eL4+xlj0qKkkJ25lHBpEbRQgOUClbwXi7gPvkgqRnw9oNIZPfj5l6bsTv0aRyG/TlZ6WAJCaWl5pnVNJTtyRI8v/n5xMsTCfQwOkrKwsTJs2TXFP2u6k0rcCqQwD7xKr8vOF/68UZekTtxQXhzKN+Ylbpq0cJ66fH8CY4aPGuGmOunc4i0MDpFu3bmHKlCmYMmWKI1fjUip9KxCxbICDB52THuI2KEufuCM9IpGIJSiBoV5WCXRIZIuhB524lZ3ioUasqVu3Lnbu3OnIVbgcrhWIWZBUmV6TuWwAfpA0dCiQm0t5tMSqyjbaN6n8UlOBpSwBW9ATsTiP84hFBovE8PMU3Fd2Ds1B8vHxQZcuXdClSxdHrsYlcF2sV/pWIFyfSvyyEipqIzJVhtG+K5PK3CGivfLzDVUtAcO9fTe6IgORleqdl4hTLQfpzJkz2Lx5M9LS0gAAMTEx6N27Nx566CG1VuE2liEB85J7wvdqJR31PiEBCAgAnnvOfDpXlFjZtpcQUiWZdkvBqWzvvESc4gCpsLAQiYmJ+Pbbb8EYg/ZBzkJZWRnef/99DB8+HEuXLoWnp6fixLoTFhEJNLT/CnL5QT07dLAsaqPXKkJIJcHvloLzxx9A584Vnx5S8RQXsb377rv473//i1dffRVnz57F/fv3UVhYiLNnz2Ls2LFYtWoV/vWvf6mRVuJKaPgSQlwGv0sFopxQexSA9m9VojgHadWqVXjhhRfw9ddfm01v1KgR5s+fj9zcXKxatQpz585VuiriZBa5WgkJQM+ehmK1SlSU6PK5d4QQhxNrj9KggXPS4wh0r7NOcQ5ScXEx2rVrJ/p9hw4dUFJSonQ1xFXR8CUujctZ4G6ChBBp+N1ScKhxQdWhOEDq2bMntm3bJvr91q1b8eSTTypdDSHECa5edXYKCHGeceOA9HRg82Znp4Q4g+IAafr06bh06RKeeeYZ/P7777h8+TIuX76MHTt2YODAgbh8+TKmT5+O7Oxssw8hxDWtXl3+/1at1BlJJiND+TKUoDo6xF6RkVQpu6pSXAcpPj4eAPDXX39h48aNZt8xxgAATZo0sfhdaWmp0lUTQlSm1wMTJ5b/zXVv1bOn/FJU0ybS8fGGOv1Dh5ZP8/eneg+EENelOED66KOPoNFo1EgLIcTJrA0oKydA4jeR5gKtTp3USSchhDia4gCpKo2zRkhlJ9Ryx57urcQCrQsXlKeREEIqgqpDjeTl5eHs2bM4e/Ys8qjPekLcTmQk8Pnn5X/b270VF2iZ0ukqVxNpQkjlpkqAdOTIEXTr1g3BwcFo1qwZmjVrhuDgYHTv3h1Hjx5VYxVux9+fKoMS9zR8ePn/jx61b/xhfhNpLtCiJtKEEHehuIjt8OHD6Nq1Kzw9PfHyyy8bK22fPXsWa9euRefOnbFr1y60bdtWcWIJIRUrPNz+344cCYwfb/h/cjLQsCG9NBBC3IfiAGnSpEmIiIjAvn37UKdOHbPvpkyZgo4dO2LSpEnYvn270lVVWdTah7g7yjkikuj1hgpscXHU+SxxOsVFbIcPH0ZiYqJFcAQAtWvXxpgxY3Do0CGlq3Ea6j+FVDbO7pOIEEFJSUB0NNC9u+FfNTrgIkQBxQGSVqu1OpRIaWkptPzamsQm0z5khP4mxF7x8fTsIS5GrwfGjClv+sj1C6HXOzddpEpTHLl06NAB8+fPx+XLly2+u3LlChYsWICOHTsqXY1bsreiNr8PGQCYMIHuFUQe04EoTdl69pies5Ul17QybpOanD5mn7UOuAhxEsV1kGbOnInOnTujcePGGDhwIBo2bAgASElJwcaNG+Hh4YFZs2YpTmhVolZnfYSIofOJuBS1OuAidsvIMDSkIOUUB0gtW7bEoUOH8OGHH+Lnn3/GvXv3AAC+vr7o1asXPv74Y8GhRiq7COgRh1RoMuKAhvKeQnSvII5G5xNxKZGRhrFoEhMN0bu9HXARWYSGA7KnWw9HEMsBr0iqVA5q2rQp1q9fj9zcXGRmZiIzMxO5ubn46aefqmRwNBpJuIxo7ER3+MTLr2zI70MGAL76iu4VRB1ynj2Zmeqsk/oFcz8VXpk/IQFISwN27jT86ypP6kpKbDggqspRTlGAdO/ePbRq1QqLFi0yLEyrRe3atVG7du0qWzE7AnoswRjoYMj+0ZSVGSoffv+9rDNv5EjrfzubvQ88ahXofMnJ1p89GzaU/79TJ6rQXVU5pTJ/ZCTQtSu9DVYAqvZlm6IoxtfXF5cuXaLBak3EIdUYHBmVlQHPPef2TVepZV3lYK1PIr0emDix/G+13yopKHYflKNQuYkNB0RF7+UUZ/P06tUL27ZtUyMtlUIq4lAqtlvd+I7jiJZ11B+P6xF7q/zrL+ekhzgX5ShUXmLDAVHmXTnFAdK///1vnDt3Di+88AL27duHjIwMZGdnW3yqigxEYgyWoAQ64Rnc9I6jVnYsv1KgMzLUqJhPnNBbJUCDzFZVVT1HwendHziYadUNW0XvVZHiVmxNmzYFACQnJ2PNmjWi85WWlipdldtYhgRsQ0+0x0F8rx1qqIfEcdM7jlDLOq1W3qaIVQrs2ZPeWlxFcLBlIAzYN1SIn59hiBzThwt/uBxnNC2uXZuG7pFKcuMQvR44cMDw/w4dXPuCljGcSVWqRqDGcECm11RluL4UB0gfffQR1UESkIFI/IjBKJqXC68J7t90lcuO5QYfBQDGgG3bpL91OKx/Jxq/yW25WtNiYk5S45CkJOCVVww3BMCQ5fLNN655UJOSynvs1mqtnnxC1QoA6i+oKtEwxp3VlVdubi6CgoKQk5ODwMBAWb817YvB2lunWJ8NeXmA3229IQqIjZX8AOcvz9lvvGLbp9MZWuRK2Sy93lBPnZ+hJvX3ggv88ktgzhxJNzyOrWMq9Zi7OqvnpD3nsR37gb8vMzKARo3M51F0Dkh044Yh54hz/TpQq5bj1lfRlJ6zdh93oYsaMFyLly+71guLzBvQzp2GYeH4Nm8Gevd2XDIrktr3OjWXV76sXAD2Pb+VUlwH6cqVKygoKBD9vqCgAFeuXFG0jlmzZqFNmzYICAhArVq18PTTTyMlJUXRMiuUCk1XXaFCcwT06IqdiEB5zWw59ZBUrRSYlATUrQt8/jmN3+RGhM4VN62WRwDhbGHAMM3VDqrMipRUH48oDpDq1auH9evXi37/888/o169eorWsXv3bowfPx6HDh3C9u3bUVxcjCeffBL5VaiGrbMHGPVYWd755WVEYzSSEAE9HtfuRCM/+/p3srtSIDewpVDmJz1tXZpQnTU3rZZHAPEoQm4FxYogs127UIe9gDp1daDXG7Ko6GXOpSkOkGyV0BUXFyvuNHLr1q0YNWoUmjZtihYtWmDFihW4cuUKjh07pmi5ahLL4bE354f/O6dmjuj18Hy9vPNLHcqwBK/gMqKxo6w7wtrZ17+T3TcasbdWgJ62Liwjw/KYu3G1PAKUDxFieo/XaAzTXO2gcmnVPWhhLOHkGzcOSE83FKupJinJUNTXvbvb941X2dlVSTs3Nxd37twx/p2VlSVYjHbnzh189913CAsLszuBQnJycgAANWrUEPy+sLAQhYWFZul1NLFMiwULgLlz1Vme0wYYTU01b4kHQAcG4EFwLLE5mmrl03FxhpuwUHD+ySeud2OuwvjdOvDfyJOTqcKr20tIMFz7Bw8a/m7f3nWvQS6tMuqERkYaWneqgsv95lcLcHJT3gjood2dCjSnhi5mmB2mTJnCtFqtpI9Go2EzZsywZzWCSktLWZ8+fVjHjh1F55k8eTL39Db75OTkyF5fXh5jhiex4f9iUlLK5zP9aLWMpafLXq3g8nQ6+5alWHo6K9NqhTfQ9LNzp9XFSN2XkkycaFcapKRD1XQ6kel2mH6sbZM9vxGTnm44//nnsNLl2uP6dfP1Xr9eMeutKErPWTWPe2Wk2j3hjz/svm85Ql4eY6OxlJVAW/7AWrpU0fLUOnfKl5Vj9/NbKbtykJ588kn4+/uDMYZ//etfeP755/HII4+YzaPRaODn54dWrVqhdevWCsO4cuPHj8eZM2ewb98+0Xnef/99vPXWW8a/c3NzERUVpVoahIgVF3F1FeUG5S5VFBEZiaJ5S6AbnwgPlKIEWmjBoOVykLgEVmTR1htvlLdee4DpdNDITIO/v3u3VHNV+fmA0CVXhbpDcytVqb8fpxLqUM6J1QI0GeZjh7pKjparsCtAat++Pdq3bw8AyM/Px7PPPotmzZqpmjAhr732Gn755Rfs2bMHkVYOnpeXF7y8vByeHinUqqvo7KKIkpEJaDC+J2JxHucRi57YhqW6RGjs7N9JcV8iD+oTsERDGkqgw73ZixEUZUgDBT2uSaejIMnViPX3Q4RpMvRAhp39rnH1oBJdo288zXmBsUOdVpfD9SiupD158mSHB0eMMbz22mtYv349/vjjD8Wt4ioS15miXFwvxJxGjZw/LEYGIrEbXZGBSMy6ngBNWpqhJUZamqTmaKoPM5KQgILkNHTFTsQgDfeH29cxnbP3qztQI4dBpzP0zEyEOWsIHGttHoiBn9+DgqOlSfCNV1jBOiHBcM+Uce90FBYrMHYoNXQxUhwgVYTx48dj1apVWLNmDQICAnDt2jVcu3bNav9LroKxytE1D/8BuXo1ZPXvxH9LDSvTY+2Yncg8omzHsIjyoO3qVUWLIlYoHZgYMOSCSuqZmVQosZb6gKEIml4gHhCrYG3PhaFC33hqYBG8sUMV5GiJdTbqztwiQFq4cCFycnLQtWtXhIWFGT//+9//nJ00SVylax5731CFsuDfeUfefcH0LXU0koxdBNSxs4sALmHbJ5V3XNmqlX2LIbapcQ6r0n+MHfLzzXvRJubE+vshPGqN2O1C/PyAJJYAj/Q0Q47WwYNA/fru/0avErcIkBhjgp9Ro0Y5dL1qRcTunmOpxn2Be0uNgHmlQI29b2FJSWDR0Xj6y/KOK6mYwHHc/Rwm1lHOngQyO5p0K5GRwIULQLt21D+TCbcIkNxZZegILy4OiNKYDzMi977AvaXGwUqlQKkeZHVzfTPpUIbFSDQbAoUYCA0PYw/Jo7oT4sIU1fOyo6NJt6Fm8WElQgGSSsQqsdo9nIYLidyWhDTeMCOzZ8u/L4wcCaRChUqBAllaHihFLNw3q9sRhIaHsRflMFQcQ6d9NAyFS3KhCtaqqoTFh2pwSIB07949nDhxAnfv3rX4bv/+/Y5YpVNZaybrrHoXqnnwZqFl5rk1L3Sz7+adAUOlQKbkLUwgq7sEOuTDT1JuSZWodCowPIyUXDa1h8wh8nD183z6uE4xBx17HhepYK2qylx8qIDqAdKhQ4cQHR2Nvn37onbt2vj444/Nvu/du7faq3S6St1MViS3RndJ/psF11Q2icnvIsAML6u7BDp8ixE4hHbG3BKPlc5/sDiVwPAwUnLZ5s8Xnn7hgloJI2JEO+1zcE6SrbqWzhwo21ldH1Q5lbn4UAHVA6S33noLX3/9NTIyMnDq1Cn88ssvePHFF42D2nL/VibWmsmqzd4bht0VzkVya0rrKXyzUPoW9iCru2DzTrTHQbyIb81ySzwnVPHy87g4MIHjdh7ix02vB77+Wvi7Bg3krZ4rclarDlRVYLXTPieSFafRKPXuq7IWHyqg+mM9OTkZzz33HAAgLi4Ou3btQnZ2NgYOHIiioiK1V+cSKnUzWa7HapPcmkQshk+cC7xZREairHNX+CPP4sGicfKDxelvvg+Gh+H6N+GOWwbEj5taOaFckTNXXMTl6t2d6zq5eqtXOzsFlly50z5JlxONUu/+XKj40BWGv1E9QAoKCkKGSaG1t7c3NmzYAB8fH/Ts2RNlLlgWpcbDrFJXYuX1WL0MrvNm4ecHjPrY8sHCXOTB4kwlIxMQgzQMxvcYhjXYhp5W57eWEyqnmCU11dARqGlxkQ5lqP1RomGYhgomVIfm7bddL5NDzU771MLlANbV6q1fTtQKiqjIVYa/UT1A6tGjB5YvX242zcPDA2vWrEFsbKxb9H4tpipXVjTtsdrZTAPac+eA0R+ZP1hKoMP1qVR+npEB9MQ2fIeh+B7PGVuyiZ3H1nJC5Tzv4uKARhrL4iJNWSk0Fyo+V+/QIcO/psV9jBn6xHM1y2AIags2O7+YwzQH8BKLRuQ2KxEytYKqOC5YjClUhUPJ89JV6vWqHiAtXLgQb731lsV0jUaDb775BmlpaWqvssI4s7KikKocsHHOnzdcSNyDhcvlOvGI6+RyOYv+kGUuzmIkIuOw+I3VWk6o1OddZCTw4nTh4iLWwDm5evziPiVdHjhaBgxFx/YG+GrkiPM7dNUyGxEytYKqGG5UjKnkeVmR9XqtUS0J+fn5yMzMRFFREXx9fUXnq1u3rlqrdLi5c83/ruhcY/6AtYADBnx1JhXehGJjyy8k08F05VYqroyEOuVU0l+UnOfdoDeFi4tYRPlDPy/PcI472mMxwoHiYzGu8wbuamR36BoZCXz6afnF6ALFg7a43Qumg4oxHVVfUulQda5Qr1dRgJSWloZx48YhOjoagYGBiIyMRFBQEOrWrYvx48fj0qVLaqWzwun1wL//bTndmbnGGRnm5bIVGbAJBWuKqPQmFBFhuJD4raXcvv8pU3YGkiHtLHNxSqBDyKPy3+rted65SnFRWJ5woBiWT8U/YmR36JqUBLz7ruGmpNEAs2a5ZCsot37BrIBiTLWDRiXJc4l6vcxOGzZsYAEBAUyj0bB69eqxAQMGsBEjRrABAwawevXqMY1Gw/z9/dmGDRvsXYVqcnJyGACWk5Mj+H1eHmOGHnoM/2eMsT/+KJ9m+tFqGUtPt74M0w+3PLH12GL6m19/FV7Hzp3SlhOBdNYVf7AIpEtev1ha7Pm9UXq6YUeaboROJ7xjJaTj/vylrASG5ZVAy0ZjqdX0Xb+u/nGylUa7f7N0afm+0moNf8tIw2gsZcXQMQawYuhs7hux8zglRfJqxbfFynRHyk9JN54f3KcYOpafIu18qyhK9o3pb/nnt61liR1z03OnTKsTP/cUXs9S06b0fHFgMiuGgzZg/nzz55uMW4yR2DmkJHnly7T+/HYkuwKkv//+m3l5ebH4+Hi2Z88ewXn27NnDmjRpwry9vdnff/+tKJFK2RMgCZ2LAGOzZwuvoyICpJQU+68PfhBxf778q0C1m5VY9Ckl0uOlIz8lnZVp5T383CZAUimQjEA664KdLALpNtMj5Ty2a1tsTHcksUCxotNhi6sESBcvlv+fO3eiNOniD06F17PUtCk9TnKT6Yxz1aalSw33AO5eYE80Y0KtmEvovqE0ea4QINlVxDZz5kzUrFkT+/btQ6dOnQTn6dSpE/bu3YuQkBDMmjXL7hwuZxEqA/34Y2DiROekBzAUG33+efnfkos9BIadcGpHiipW6NScF+4xWm5rKaf3WyREpSx107pZtrjMtquMX4nflbqqcBVcMXVATvl9gTt30lmkeHG+m1TQVpJMl6mvpHJnjo4stasM45DaFSDt3LkTCQkJqFGjhtX5atSogdGjR+OPP/6wK3HOxi8DffNNpyTDzPDh5f//9VeJJ6DAsBNqdKRod1ChYrf2LFa4p29ntZZSlZs8eNyFnEDR1akd0Ju28gtpZWjlx6/XJ3rLcJNhKoReeqdOFU+my9ZXUrEzR0feYipDPVC7AqSsrCzExMRImrdevXrIysqyZzVEgGkPwE89JfGiFRh2Qu2OFGW/Yan0JsQiLMdlS4R5aym35SYPHnchNuyJS+YeViD+GHCasjIswSsW3SJYvWW4yTAV/Jfejz4SvofyOyqsbP1ecud8VJR5qQQAfPUV3WI4dgVINWvWlNxC7dKlS6hZs6Y9qyE8GRnmRXySL1qBYSeKvlL+oFX8hqXWm5DJuGyVrvjETR48rs6d+kGqaEJjwOnALLpF+HaW3vql6kLDVIjhv8iJ3UOrUr+XXKkE9wIxqoe8KNDucT7dgF0BUteuXZGUlITs7Gyr82VnZyMpKQldu3a1ZzUux9/fuW+YXKeIpqRetNywE1wdDO/xCYq2xZldDgh6MC6buxaf8G8y/v4mORpu8OCxR0XV6+DnkHAPfFceQFfOvUbpA0pwDDgeD5Ti+TbOiw4ioId2907FNxihe6XQPbQqlW7fuQPcn1/+AuETH+1C5YnOZVeA9MEHHyArKwudO3fGgQMHBOc5cOAAunTpgqysLLz//vuKEumO8vIM9e/V7AjPtFNEjpyLVs06GEqCNWKpshXt+PmVt2cxvQacUa9DKIdESYeZlQ1/DDim1aIMGvN5nBgdcLl/Pn2U9x4ttAlCm8avr1TZSrdNr8MejfWo9pp5EWulKk9UwK4AqUmTJlizZg3S0tLQqVMnNGjQAM888wxGjhyJZ555BrGxsejUqRMuXryIVatWoWnTpmqn222oWb+B6xSR48yLVmmwRqRxdq6lmpxVr0Moh6QEOpyHa52szjzO29ATz2MNBuN7ZB27jFfwjVmR/N3ZzrnR8HP/lJ40/IrD1u6hpvWVKkOLLA7/OmzAUg1DyZiit10ACnrSfuaZZ3D69Gm88sorKCwsxIYNG/Dtt99iw4YNKCgowMsvv4xTp05h0KBBaqa3ynOVi9aVgjUAgN6QBe/KxSZVnWm9Dq6+Q51SvcPvw/wcEq4iv7sWx6rNY6Uhh+YHPIfvMBSeO7dZdItwf7hzbjRCuX9qPryt3UNNc0EbNlRldS6BX79Kdq/pVog1hHBbanWolJOTw/R6vVM6c7JFTkeRpj0GC3V+JdZhGH9ebj6xDtzs7TzQ3s7L5GyLlGWkpIjvNym/53r1tqc3Y4t9YNLbtL09aZtOs+c4WUujlH1z4oRwJ3ZqpUHq8oT2jVqd5XGd0o2GeaelWbOVdXZni1iHmWoebzXI6eDRWseQsjqKTLfsaLVMpxPcR84g1Au6ku6ZXaHzR2enQahzyJc1Jr2my+zhkdse/nVtT2fEQst1u44ihQQGBiIiIgKBgYFqLbLCuGx/Fy6Gv59M/5bT54VpiyKlFQKvHzMfwJGrgHv9mDpvMPZWJJZ7Tl28aN963ElkJLBsmmWF6RrvVUx9h8rUD5Kpq1et/22VSB9prlI/i5/7pySrujK3tpJDqH5Vy6/LcwwLktNkF01EwPK6dmpnxCrxsOdHzZs3lzW/RqPBqVOn7FmVw4nVi+jZ03Ai5eXZd1Fxv7l+XZ10crhsXzVkZEjPOhbaTxMmAOnp8u5V/AtJU1aGsjGJ0HI7XALT4OOVrqn4nVlWwH2563kM/ybSriJI076m4uMNXRHJWY6tc0pI/fry02mL6X5yFUNaWikyqSw1YCuA6bFt1cr8O/7fVj3oI800SBKqn3X1KlCrlh0JVcEyJGAbeiJ183n4PBRbYeeJaUCVklK5itlGjgTGjzf8PznZ8II7fnwkMhAJJqeDR70e2tOp6ICbFte1phJc13blINWoUQMhISE2P8XFxThz5gzOnDmjdrpVI7e/C5fpcl4FcnLL1OgXZOVKIA6WD0htWSluHpS2IH7wkcKEK+CeY7F21+W0q68pE/bsq/BweWm0hb+fpFKr1aVY4wTBJuVUu18WoQDcFP9vqyIjcX2a7fpZrVo5N2c9A4ZuPCryYesOJQtqNAKyu8frpCQg2tC6cC2GulTLR9U4otwuMzOTvfnmm8zHx4d5eHiwl156yRGrkcxaHSRbg/Xx63GIjXYsVt9Dad0WtcqrlY62rHRQQ+73ERAeWf3A99IWJDTg5GgsZaUa4YFIhQaiFKpnM2eOeN0bseXY2lap+0rs2Cg57mIDc9panunI3krSYW2wWtOBY9UYcFNOWmxdo65UB0ms7pq1Y2vPcfv1V/H6WSpV/ZEnPd2wkenpLD/FUFcxAumS6vJZI+deqtYgrkrTUVHLkltnUmgHlUBjNiB0ZaiDpGqAdO3aNfbmm28yX19fVq1aNfbSSy+x8+fPq7kKu9iqpG36UODfry/sLr9ArV0oFREgKblBWHtISH34W9tPtpje1Pkjq7+sWSo70OLfuE5sSmfdNDttHifGhCtEcwNkA8pvjPx9bWtfOSJAEtpPtpZn7TdqBkiA4YF8b/POCnniukuANGSIZdqEzhtbx0nucUtJkb4sOS8KdjFpcME0GlYGzYOHr5a9rFmq0ujwtu+lYkGoGtvvigGS6b1dLBPAjMgOGoTvjYG2etvm5gESl2NkGhhduHBBjUWrwt5WbGzpUlamMW8dJXahOCpAkn3iilCag8RfhmmQIWVb+Dd17o01SpMue5vEAjWpAdy6ddYfAqa5SfZkcPD3ta2bsbUHeATS2b1f/7ArkBDLDRI7XrZyJtQMkCoyGHGHAOnPP4XTptUKH3r+uW76G43G/O/5862vWyigt/deIdaaVxIbkV8xdKyuNt3umFrOvVQoaKysOUh25ZYJ/KgY5q0fq3yAlJmZyd544w1jYDR69Gh28eJFtdKmGjkBkvGgWjkBKioHSc1sXqH0yX3429Ns3JTQA9ueXDEp3TJYW66tHCTT46Q0fVL2j9gbvGmzWXuiY7nHS+0cJKGuHJwRIFkrNnSVAOmLL8TTJ5RrIfaywp0qcu4Z/P3z0Uf23ysUBUgSyg67YKdduThKi73VLAlW8xrgP1/sYXdu2dKlxhsnv2pDlQ6Qrl69yiZMmMB8fHxYtWrVWEJCgksGRhy7AiSRs6a7dmeF1UFSM5tXKH0ff6x8GXKW46jiQm5ZUm88QvWNZs0SfuDYc5HLfUj8+qtleoTqasmNjsWOl7UcBbXqIN2fXx7clZkEdxUdIEkpjnKFAEluDpK1fpDk3DPEAgf+76Ver66agyT3Xmp6HWg0jH32mUBa/7AvZ9fVAiRFL+LphqJyobprVTZA8vHxYVqtlj3yyCPsxx9/ZMeOHbP5cSY1c5Au7BY+a1w9B0mNLGNrRRWzZ8v7vdn2y7zZ8NPBPX+l3HjE7sHvvWe+vIoMkISOTVcoj47tKVa1dowl7wuBzge5lVZ0gCSlQnNFB0hi+4BfB0mjEc+1sBYgyblnSK3wbU+dSePv5FzfJrkSTKMxVnEwzaGwJy27d0vfLzbvu6b1pBTm7Mo93/i/VSNAYszyxchWsaxYmuy6X9hcppsFSBqNxvjRarVWP9w8zmRXgMSYoQ4SLwtR7KBXRB0kJdm8b7yh+Hlr9eEp9qYr9nvj9ttxsxEL9kyny61nw6+3oeQilxsgCe1XR+YgWTvuqgRIVl7XKQdJ/H4jtRUbfxn83/FzSK097KTmINkbIN2fb0cwkZ7O2M6dLD8lXbB1nZIifSn3Uqu5TSq8tbpigKQk568yB0h2dRS5fPly5f0LuIOEBBR06omnGp3HecQiA5H4qoKTwO/Qy57OyvR64CuBhGu16nVTUVYG/PWX9W5KLDq51Jv3gi2pR0UI9ydUWgpcuGA7nXFxhj5DzNIBy78riljvvhkw9CC8GInwQKmqg91J7Z4kL8+Qvtq1y9Pqd1tv6OgpLk40LZn+cagFrVl/VyXQ4aZfLCq6n/3ISODzz4G33qrgFavA3v5phg83317T8Rv5hPbP7Nnq7K8I6OH5uvzrG5GRQGQkWD6QAdjV87mtfsCs3Uvj4gz3RtP+pIzXjLVOziq4Q0TTa1NtcjoRVptL9Xhe4SGZE8jJQeJHvlIja0flIKnxxi32RvTGG/KWYy13Qc4bb16e4WNvMZKSHKT0dPHcIrXeguS8jQnt04sXy/+vpDm8PXWQrL2hXv5IWm7AH39YduUwGkvZzp3OqaRtq46O0jpncknNQZJ63igai01gvUL7y577ldJiYiU5E0pbZIrm3AvkIJU5KQdJ6LjZS6zagj2/lXKf4f/O2jO3UozFVuno9cD330O37ntFIxOLRfj29Mhtb6+p3BuRKa3WvMdouT76yP7fcttu7yjSQm/WpaVAo0a2152aarjkrNHpbC9HDrk93C5ZUv5/R/QgbC1HgY8bdiUCekRME8gNEOhiPC4OWKE1Hw1+pS7BZTvVPXLE2SkAoNej2j51RkHn33OU9P6fl2e4XuzpYT0VhmFMzMjoXVmTYf/I8EL3PDlMr5HkZJOhhiIjgSVLDL1Ew5AzWvSVOjm7zsQ/R+wZQYBvwgR1hmKTNbagyihAEuCxMgmoWxd47jl4j3wOV1AXo6G8n3n+GF9Suq5XcpPg8AcnBAwXQFSU/V3Uc8V+pqxtE7/b/sTE8mIkuQNRKrnhS7lx7tlj//LlEtqWTz4xBCRKj7tSGRnlQbTQEDFi46dw5xs3OOw1XaRapYMOMXZs+f+dMpTQgyEbgp/tjsuIlnSv4YqrpQQvcofJkLNsazIQiaJ5S8rfOOQUEyclwSfeMKC11H1iSuieB0gP+Ez3gVlRk14P1K+P+38cNAb/JSPlDfhoek/391c2TIhaxKotyBlKSu3fu4QKz7NyAjlFbBFIZ2UCZTBcH0hyi9j42Zamf9vMmV261NgaqARaljOnvJ8Juc3k1ah8K6VpsdA22aooy1XEFGshyCfULF7ONtkaVsS0iEuNIjZrWd9C22La/1EJtHZ32W9PEYXpb0zTJrfSuOlyxPqqqqgiNlvH296iBXuZ7oMLu8X7W7O3MjLX/5SUXuWFzhH1KteatGLbuVP+uEQC+8Te+xX3kdM6y4JJg5IyrVZ2qzpuGab3dCUt87h7MHe8b56wvxdLJa2cxSrD2/q91CK2q1fdrBVbRdu9ezfr27cvCwsLYwDY+vXrZf1eToAkWm4OQydlSgIkoY9ocbzATaJUU36TkHsjt5Y+e3p6tlavg79NUpsSb94sbVukDI1g7YZjq05KRQZI/G0RCkTk1nEQS4eUbeIHNqanoGm9ojIbTSql3PxcpRWbvQ8Ge5k+ULprhC8Oa/cajtDx5QfXtsYlrJAASS6RG0YX7JS1TFXHU7MStEneRhWWwd+/pse7TMZDQahOKH8/2VxUejq78b8/WJRGePw+OXWQxF6iAOcGSG5RxJafn48WLVpg/vz5Dl9XKuLANBqL6SXQYXNKrGqjnQM2iuMFWktoWSliYcizVKOMmGPPSNV+fkB6umVxldA2Sa0P8NRT0rKa7R592g0IFWVpnJRXHRFhaOHEMa1XlHU0zaRihjlXaoUi1OjIFkfubn7rqhRmWQ+PAWiNo7KXHQE9lmCM8fzRoQyLkYgI6OVU/XE+gRtGCXQ4D3kbYK3BmWwCC/NA+f24opZhWlWBf7w1dj4UhIqVzepdCXlQLBz6XHdcYsJFoLbqOvKrXch9BlUEtwiQevfujY8//hgDBw50+LoyEImir78xFAw/UAotErEYLEK9ShQ2i+Ml3CTUupHbuq5MT2RT/HJ+sW0Smm/4cGVptsVaXRJnVvrj4x8/oYrrJdBh7RHnPN1Mj9Nvv5XXKyoLd9EKRTz2VNZ1ZDDBf0ZmIBLv4hMwk3k0AGbr3jN0qSCDUHDtgVI00p6v0DpgiuvPCVSETsRi2c39xRqn2HVsuf5BTJRCIy9oUxj48YNrOfUC+fjBienfeXk2mvjzumcxDcRNWbsH87dFzRd+NblFgCRXYWEhcnNzzT5ylIxMwL1/rmAwvsdgfI9oXMYyyKuIZ4vNCF3CTcLeG7nQDUzsuhLrT4Q7+UVbe/Dw51u8WHi+uXOtp10qa30iXbxo/bf166uTBin4xy8DkUg0qbjOHfdh/4rEuXMVly4hdeo4d/324Pr5sca0RaaK3U0JEnpoH0Nr8POs7ck1FAuuv9kZa/1eY+L6dWUVsz1WJuEyyitXe6y0M1sgIQEFyeWtIOXcf7nWvlFRljlIjAHbttmXJEuWJQ1WPbinl2ntC/z4wbW9rYCFgpMJEyQlQTghEM4Js3YPVjV3z5EqvFBPIcB2HaTJkyczGHKqzT5S+0ESq6Mitz8be+vImMpPsexJVnIZMW85XfEHexuzBesoiJXNi9UfklpfiDHb5d38j61hS6Tsa6mD1QpVaFVah4KfvhMn5G3Lq68ywR6E5exzbtlC2ydnm0yvhTNnzK8RKdvEX5cr9oOkdHBiuYQqVdtT70ysDhK//yk59y0lfekIDTFTDJ3ZYMVy2NuwxNb9wa56SFbqRck5j9PTGYvSWF7b1u4Rpr/l16lahpGsjDtnAMZGjrR3U6RflzYq0Uu5lqzVD3OlOkio8DUqJCVAun//PsvJyTF+0tPTbe5gKS20nBEgiS1X1o3cpOVEGW9B3ACQYsGWWMeKctbPr4wntE2mD3IpA3Sa7kehVhRSKmlbq9Cq5CEup9M1obTzR2e365gz8wFj7Wkxw5hhX3HH5p8d5TfAyhogVXRHkdyHH9hIabko1nqIH1xXWIAk8uS9t3mn/GWlp7N7v9r34iLlXix7wG81Kmkz8eDkp5+k/d70mNsbWNsaXkbS9piMmVem09l17xQb/40CJAWkBEh8tlqxMWZ+UMSaBbtSgKSk5QT/kzV6otWfCwVIcnofNr0QtFrGhg+3fDjwH+RyWtzIbYnDPfT5NxehtyB7HphSm8yKHRqxAElWWkTe5uXe0HPmmLeS4W6E7hogCeWouUKAxKWNC2xspUNO6zxb9y3TfaI0B6lUo0IOkklzerEXF2svC9bGYBO7FiWnSyAokLPPrF3zUkhqcS0h+lNljE/emHncOcT939Zx518H3DGlAEkBRwRIQm/8/HNu927r63DZAElKG3srI81ae+ORcrOS0geSUKBy9U/L9Ig1IbYnQBK7uXBNiZU8MMX6aZLa/YHpvrU7LWoUCVgJstwxQBLLMVQjQJKzXVLuFbaWIeWylvKgMg2AS6A1DCdjp/R0xl7WWBbxydqvEotvxIqbbQ0lpGTAb+MKdu5kN09Iy00VIhTASV2G6bmjpEsQVbpjYIyx9HSW9+pEYzpKoWGlMBwAW90OiOW0u1KA5BaVtPPy8nDy5EmcPHkSAHDp0iWcPHkSV65cccj6hJoFd+3qGs0QT5wwnDaSK1L6+9tuxlNWJlo7TqxJ/YNDAcB6E01bzazFWt6E5Tu2tp5YhVa5TYmFCNWRlNP9gem+tUd+PhDZXYXtS001NB02Ibtps4uw1gTeUQN+ClGrCwRbXV2MRnllaZ/4aOELVK9HwETzfRI+LRFrZ9vXlCg1FVjKyruCaI+DuIj68lqzSawA3KCB+M8ZE198aSkwdKj05FiIjAS6KmvFKWeoH2v4IxGUaXTQSGxh4OdnaK2mSJJhxAm/hZ8bzyEtGLQP2mTa6nZAbHgTp/RmL6bCQzI77Ny5kwGWla5HSqiQxpj8HCRrbx9SewZV+oYotkxZHUSa9vxqfBvTslIZGya2TVI7YLMnB0lsYWL1JezJQeJyFITedpW+WfHfEOXWQRLbX3LPGbHtq8gcpPyUdEN2x4Pj6awcJEfmGDImfbuk3iOU5EJJvqZEsqG6a3fKLoLip0cot07SvpWYgyS2LCmDUSsqRnyAPwi5HELHzp4iNtPj3QU7Zfekza8bKoucMl6RIj+xnPbNm83/piI2B1MrQLJyrGUvR+qN2O4u4AVO4BJoWWv8KatHZNMHuK0bj9i+sVUnwDQ91vLArVUolZNlzK+TItRKUO5xEkoD97FSgumwoJorXmmNPy22T842bRsiHGRJCZBGo7xxABclOiNA4vaHo+qcceuQsoyKCJAk101JT2dlAnWGIpAuuxKzraKfYujYio8lPsCXLmVlWvtfXPh1SPn3LVcMkGy9+Eo5b+wpppO6fgtSh0ew8rASqyzOf+ZRgORg7pyDJLU+iwUb3fVLeeuw9pIgpwt/KS8bEUg3tHaxsoMdESApOU78h6K14y92vMRuVkrOGbHWa3KXwx037lxpjT8lVeadP188FyM/xb5ATQmhHLUSaNnb+MzufSy2DjnnjJL7gyo5SIyxyx9ZBsD2VGI2vabEArQhmu8lL/fqn+msm8a+Fxf+9c1v9ODMAMnacbO23/njrgntFyUBkq31WxC5qZdAU96oQ0KFL6HK4vz0HTtGAZJD2QqQpIztBTD22WfW12OtdYqcvmhMl7N1q/Ay//zTelpunpD2xmztorL2kmD6lmbrOrDWl5Lp37ayeflvhnPmCO8zuTdQex9U/IeinAF8xdLN37dS02JkpVhM1nKY+XHjF5nkzBE+4Nx9U+wheW/zTtnpUMp0H0/DJGMlUiXBo7V1WFuGrdxU7iNnHCuhj9RcYq5FJ5fLaG8lZn6urEWA9mB/n51oe+FSgkhr+0dKtw72ME2X6XiNagVIgPiL1PXrtrslkZoOa+egrJzDpUsN5xYMVTc+xURjK7Yu2Cmp9aJQMR9/H2k0FCA5lK0AScro8FJOHqGTX+ykthYMmC5n3TrhtEycaD0t3AVlepMUyqq2dlFZy/nJy5M+SLe1TsH4XQBY64/JWq6VswMksab5tm7mQueMWPok1RP43/8Ef2xa18aeHCSL1jJa4aiPC6pcMQfpbXwm2A+Y3OBRKBiSEiDJqbZh621eykudlAeVUG6LPfhBveHeY7mxpRrb2RRSAiRr+8dWEGrvNjo6QLK2TVJeeLdutb1+a+eNnBwkbjusVVGw91qyTCMFSA6lRg6SlJOHf/Jbq/dgrVdkKQ9eW+kxzZLtgp3szFbhrGpbFzc/C9Teh5tQVqqc0bbFcqG4oFXNAMk0x09qboC1B5/cIhex9NmsJ7B0qWBFMXtzkLhtFMsN+mXiTov5TY+pUC6Gc+sgCVeikxs82hsgSa22wT+3hbzxhvXz1nS6tcDaWq6sVGKB32AIB+s3vreyYUx6MaTQ/pEShMqub2MjXWoFSNZGEPj+VWmNDGy1WxLLDJC7T6QcI3uvJcs0Oi9A8qjwZnMuiGsy6+tbipo1i/ljEgIwjNdUsyZw/774cgoLgejo8r/b4gKKEYVi3nwdcBExMTVFl2W6nNBQ82WaunjRkCYhP/3E/a4m0lATfccC0dGWK8zIAAIDxbdp6FDgs88M/1+/HuDGCy4sNDRdl2r0aOCpp4ArV4C6dQ3jeh0+bBgvScp21atn+Ji2ANZqgZgYwzHh73tr6SsuFt+nz+JHTMNH0KEMpdCi9H/TcH/YIIv5rl0zjPElthxT1tLCT7et9M2cCTz+uMC4aNeuATNmGHauiRLoMBlT4YGaiMZ9m+nhGzoUWPlZPeSjnll3DCXQYfoPMWg6/r5ZWmrWBL75Bpg2Dfgdw9FZ+zg+GnUFXV80HPTCe/eN2yb3HLJXYSHQIfoCilHX4loshRYFiJG1b0yPGTe/0DS+evUM5ytj1pfPGJCdXQ2xscIJ0euBr74ynzYaScZuDEqhxRgsMY5fduGC8OCjej0wcaL5tHfeAQYPljcWnVhXHgfQAaXQWpw35xGLUOmLF3X0qKH7FSlpMcU1J+/ZU50x965eBWrVEv/etGuH69fF52vdWni6Xg+8vSgOzwjsy3z4oSt2IhVxyEAkVq403Gs7dxZeltgwbTt3Aq1alY/Hm5enbEw+JU6ccM56hWgYs3W5ur/c3FwEBQUhJycHgQLRwIIFDMeOXUP//nfg6WkxaDMAw4NcSndC6enlf+tQgghkmA1pyABkIALhUR6iyzNdTmSk+AjHERGAh0CIW1Iiry+JkBBpfbOYpkvK/rBFLJ1i25WbC9y+bT6NS/vdu0B2dvn0GjWAgADh9ZaWCu9ToeMllqD7963f7ExZ21f8cwawfswBoHZtwNubN1EkQTdRE/dgfqeTc+zKyoDb6XmogSzjfmEA7qA6chGEmjUtb6Sm2xQeDlSrJvydGueQFGVlwNV04WN7G8HIRfk9Qe51zs0vdbtycoA7d6wvnzHDS0v9+tVRp04daHg3pJ07ge7dy/+OgB6XEW3x8IxBGjIQiZQU4QCJvxzT6fzAwxq93hAcmgYmEdAjDqlohaP4BO/DA6UogQ6vahZj8pUEq4GJ1L6idDogLc08yBFKixi527lgATB+vOV0rRZYskR4oG7+tpw4AbRsaTmf0LaYprN7d0MQvBiJxn35LUbgRXxrERR/8gnw7rvC23DjBsz6/eIGZ05IME+r2Dkjthwh9gRZwscvF4D489uRqnwOkl4PHD9+Dc8/fwfVq9cC4AuhUZpjYmy/WZaWAgUF5tO8EIJwXIUGhgfLVYQjGDVQvbrh4W5rOdHRwrlW4eGGIEDInTuGt1gA8EARvFCEQniiBJ6iaY+IADzFv7ZIl5T9IUWNGkBmZvnf1raroEB4hOjatQ0XNz/XSWybiost96kHihCEHISh0PIH4eEWV3pRkWF/2FKzpkBujwmhc0bsmHMaNBDYLoEEMQCFaAhf3nGXc+xKC4tQv+AcNDDfuYZzOQh+kYZz2ew3JtvUoIH5uhxxDtnCrZN/LV5DbXgi1GzL5F7nkZGAl5f07SotBc6etZVihujoe7h16wYAICwszOxbroNR7iHSAQcEO1uNxXlkIFK0U0n+cgBJg8FbiIw05Ka+9Zbhb35u1hK8gj/wOA5r2mPyN5E2c21WrpS2Xm70d9PlRUYC8+ZZBjJcwMbltMjdTr0eeO014e/k5Ei1aiU8ffZs8d9yQcsyJGAbeiIW55EPPxxCO4uOT7ehJ9q3F0/E6tXmf0+dWh7Yme73+HjxoM+RpOQAVqQqHyClppaiXz8uOBKJWGB4Y5dy4+S7jXDkoSa8UYj78ELxg4dVZqah+EzoAW66HIucAgDNmglP53DLrImbiMZl4wPhMqJxSyRzW6OxvkyhdKnxcKtTpzxAsrVd/ECCU8wvN3lAbJv46ebvJ36OnyYgwOJAeXsbSrNsdeZ+65YhvhILPoXOGWv7IDpapEjU29vw5eXLxnRfRjRKYDmznGNXVlgEsQyV+riK4oCa8PQ23zhr54kjziFbuHWaXouGop9SVIPWeE1KTdONG+X/T001/NuiRfk0a8uQElQDQI0aPtBqgRs3bqBWrVrQmSzQNAgwBCOvWPxeSq/p/MAGsP6gtmb4cMNyhHosfxWLMQZLcHP6N6hj5Ykrt5dxsSCnRw/zv/kB21jNErRbbD0Xi09KD938YA0A5s41/1soly0VcejWTTwxpj1eZyASGYhEV+wUDYpbtRJellCR6uTJ5T17v/66eTqtBX2zZokmVxGhoJ3/d0Vyi6FGHKleveIHDy9fh62jGJ64Dy944z6qocg4vVAgswIwPxmETgzTIgsh/v6AJ4qMD33A8NCPxmWz9Zvy8rK+TMBwQ2rd2vBxxIPN1naJpVHspiplm6oJ7CfuPsgFGUUCOW+lpbaDI47YcQbM9yn34YpnqqEIAcg1HrNmzQxBtZDSUuDo5VCcQnMU1WuE02guGgzLwby8IfZc0ADwLBPfuGoogiYv15C75SKK4Qkv3Ec8zqIRzqE5TqMmbkr+fVGR8HEXC9KV8PX1fbBsy4WPHGkajJgfoRLokIjFyIAKFWwk4nImhIYOAgAdGGpPFh92Qi6t1lA0JPTwNh01SShgW6JJREJPeemIixOuesERCtb0euDf/xae33QomMuIxvxHkkSHaxIaksieoZKEcme4wM7ad3x6vWXgpwq9HpGpO7Fsmvmx4erAOkOVD5Dq1AGCgwGhYjW58vOBNm0MH9Niopq4ieY4bXFDlvIA52vZ0nZw4ukJNAi4brFFGgDeQkVIbkIogIqONpR+8eomIzradpEhAHjjvuB+uoIoY5BhLcCRwp7jLHTO2AogyzFUQ7FZcGW3ap64jGjRIEls47j0a1PPAadPAzcN57yjg2xbhAJiay8OfNYaVkjBbb9Q4wQ+ft0jPrFg5HmsNVbQtkaskrbcGObcufJcKKEHN0cj9sS1w9mz4sU/zZuXBxRC+0hTVorfPz4oa32RkcDXXwt/x9Xj4QdrYrlOQkHbQjYG08boBfc9l9Nnij8Om5SgWOxF0s9POAgTy6E7cEB0FbLl5xsCzwRNElh0NNC9O178KBqjkYQI6NEVOzG8m/MGZ6vyARJg+0EaFyf/Zs5VEBa7IcdEFEl6gNulqAi+dy0r7DIA9yH8QFMaBDhDkyblOSqm9bms5bTw3YdlDgmDofIuV/RiT4DDqVtXWqBmplj4nLl9w/pDnAtKPC+dszuHRMgthOI0muMaapvlrolGobz0AzAU/blATpJYQCz1xUHsWJrWjZNSHGD6AtW4saRVWxDLRTiI9tJ+LyPXwBrT+fkPbjP2VHASYW2wXq4IEhAP2LouHorsz+WNPi42yOzRo8LBmthg1MIDdJfh3bKPRff9mDGW05ahfGDgGKTZDIrFBqfNzzffZ4B40OcIXMDIDYytKSvDErxSPthy66aOT4QICpAg3GLKlD0PSC7gELsh1/CVdkP+6y/h6RqNRvzj5YWpS5Yg7epVaNq0MX60bdrg4TZeaNNGg7/+OgQA2LRpBdq00aBNm3iLdfzwww/QaDQID4/B0aOGt+cVK1YY16PVahEZGYmXXnoJN0wrZgD45Zdf0KVLFwQEBMDX1xdt2rTBihUrJG2zVGI5KtJzWoAg5Jj9zRWrAUAAchFVR34ga1o0JlYR3xpNofA5k5VRKBpjZF+zDKq4f6NxGZ4Kc5KK4Qn9g1y1FDRCSZPmolGoUPoBuEQULhYQcy8OWVnWfy/l3JJS3Gb64LQ3ALcnF8GUnFwDa/jNsrkH92eYiJIHj5gS6FD4VQU9cVEezGQgEodHLzGmg6NDGYLflVfkl58vPD08XHg6P+jgGII2yyvkVSzGwzs+t/yBFRmIxG50lXTMhY63Vlt+vE0DwORk8Ry6Dh2sFzfKJRQw6sCM0zRObGhPARKs5w5FR9uuvCyEu+mJ3ZCZlbtidrZl/RO+zMxM42fu3LkIDAwsn3b5MiaOGGGcd8f8+cjcsgWZW7bg6pYt2LHlMuLjy5tT+Pr64ebNGzh40DzbOSkpCZGR5WVXZ84YmtNz69Lr9fjmm2+wZcsWvPDCC8b55s2bhwEDBqBjx444fPgwTp8+jaFDh2Ls2LGYyM/Tl4HfxN+0Wb89+Ll7HB1KjcVbta6VFw+ZEnuQ8ovGNFnyc2+KteIPcaEYo6gIyM4UCUpgCJLi6tofnJiei8XwxF0EANXEo0bRektKsuJUUgzzIkMuIOZyC69cUZ7RlZwseMqY0ZUWoXXDXLRuXmRXVwd+fobim1bz5eUimBIquvnqK3kxjF5v6COOLwOReBezEYPLxrRd7lFxTaK4/cMYUHdqAoZjrcU8mjJ1ivyuXhX/btw4Q5N5UxmIxBd42zI9AKrPelcwaDt2TGEiIXy8GQO2bbOc11YO3RdfKE8PVynfWrGss7lmqlyEnKIaPi5DReyGLPaAKSoCCtKF6yyZ1j+qU6eO8RMUFASNRlM+rW5d+MfHG9cZEhSEOjVrok7NmgirWRORNYPh4WF4FTb0U+OBYcOGYdmyZcZ06PV67Nq1C48/Pswsfbduwbiu8PBw9O7dGxMmTMCOHTtQUFCA9PR0vP3223jzzTcxc+ZMNGnSBLGxsXj77bcxe/ZsfPHFFzh8+LDs/SlUOTY93b6HGfdAEsvdi4TePCeGVzwkVlFXqDhVc0V+0dL9Mk9kIcTsnMlCiKGCsUCMcf++cCDOYQC0vvYFJ5os4XPRKqF6S1IrhVUArsgwBcKV2cUyukpLpXdiZ7VE8eZNQ72sc4b6WaZBdMuW0utn6fWGlkdychH4hg83/1usGEmMrWbZpmmLj4doRWTA0Mycq3cSAXUqcwOGB/obAy9bXh8ys8vE+vRp1cr6di1dajntK7whmIuEsjLBoG3/fomJtKFbN/O/GTO0VtPrzYNKW/0XmRb5Ke3YkcsJZVrDSc+0WpSpUCdYDRQgWSGnqAYAVq0q/3/z5sDGjYb/82/IUS1DRW+ARXnC9U8a1y+SVw8qNBS3giwvfn49JK54cfTo0fj+++9x7949AIaitB49eqFGDRu9gQHw8fFBWVkZSkpK8OOPP6K4uFgwpygxMRH+/v5Yu9bybc4WpZVjBZcpkrtnq3hILC1iAZfcRHprixBi0jGjBkAIskSL+3Q6QyCeiTDB7dEj0mqOj6iiImiu2FehmTvny+IaGS4Ge980VMBVjDZtis/lhBULtFAUy+iSe64Jzl9UZOyKgaO5Ir2SuCkpfcbs3Cm9s77r1+V37CdWz0YI13RcqFRLrwdOvGbesms05NUREqXXo/2Gdy2v608+UaXIz9Z2zZ5tOd2Qw/ap5KCN33WBvYRyu5TWnRcqYpTbSeQ29MRzZWuwdfT3KDh7Ga/gG2PRMauI3mRFUICkEu5tjlNWZhgWguvc2NoN2ZSXyEPWS2brs6IiIDPH0Ey4Q0IC/Dt3fvDpgvadLXtibNmyJerXr48ff/wRjDGsWLECL7002uZ6UlNTsWjRIrRu3RoBAQE4d+4cgoKCLDq3AwBPT0/Ur18f586dk7UtgHgxp1i9ACmEcveyUMNm8ZBYWsQCLrmJrFYmfA6EBgifA6WlhqK9MGRadFOgRySuo459zdDv21eh2RiQtPaENsiyDylnkXKftZbRJTdAElyfQHRtb+tSoeDENAdGxTrRosTq2YgRexhfOaDHImbesmsxEhEBveQe60UdOCBcj0XKOEESiW0X10+WkC/wDt7BbGPxErNSM7pNG2DIEGlpsTaKgmkLP05FnCdCuK4CuC4PvsdzeGLZUOT+sM2sAnrBkTMVn7gHKEBSidDbXFmZ/Caz1fyFH7LV/OUVkZjehz+ZuQY/rT6AtauPYuu2Uzh27KTgb0aPHo3ly5dj9+7dyM/Px4ABTz3oAqFczZpATk4O/P394evri0aNGqF27dpYze+iVWWensLl4nq9sjojxpyOWoacsprItggy+E9NsbQUwxMZiDQ7fho7EilUh8davTVvnXBfTmcRj+swdONtV06bt/UKzZWNrSJ1uVWoBHN3HuTQmrJ3n/KDE37fOjtHJFVInWg5xXJiD2Phll2Gjg/dgeh22chh+wITEf2gnlZBcprVrqulBqLWijKd2VrNFNdHlFCXB7U/MgTGXPEsC7NSIcrBKEBSiVgLAbknXqnOMlfjbg359TdMczlCatdHjaiHERbVBI8+GotYkdeF4cOH49ChQ5gyZQpeeOEFeHh4mGWTNmtm6L4gICAAJ0+exJkzZ5Cfn489e/ag4YOBexo2bIicnBxcFcjLLSoqwoULF4zzyuUr0penGo2jNDfM+43iggzWKF7wqSk2OGU+fJW34Komr96aZ6lwTo/pA8euXGpPT7C64hWaKwPTCui5ueLzlZYaKl/LYRFQFRUJvjGxiEi79+moHoYco9Y4YvGg6bRKvY4ZrfHzkzY8iLWHcWiHOJRp5HV8KFmHDmD8ZldaLdBeWncIUoiV1kVGGobssFY9whgIRKgTpVgr8gMMFcfT0w3Fr2lp9g0nIqe+khCujyixfqpcJTCmAAmGayXespW7LEKR+Qcf2B7Qj6+42LLO0rnsUNm5JJ6elmXDturJ1qhRA/3798fu3bsxerSheE2rNfymdevyoEur1SI2Nhb169eHj4+P2TKeffZZVKtWDV8INHNYtGgR8vPz8fzzzxunyek4UOwNXmnjKKG6Q8CD3B+ZfdwXilWWlplIOfXWpOT02NtVPwsRrtCstAWhK+C3OLx35abodSa3iFLwWhOrvOZr57DpSUnwjTfkGB3Co5adRqrYMaMt7doJTzcNzK01HUdkJPK+EO6ywForMUkiI1H0tWmdFp0halEx26R1a/HvEhIMgcj331t/UZEzwLgttg59ZKRhoN6KzjnicBkKQi3YmE6lwFgFFCA9wD2ohUZalso0q/mvv4ABA8r/Nq0gag2X0cCvs2RPLglXPJaTk4WaNa+htPQarl0zfAoLhW/WK1aswK1bt9DYzt7r6tati88++wxz587FpEmT8M8//+DChQuYM2cO/vWvf+Htt9/Go48+ateyxXrSVlrFRawFmK3uGISERVvmutibSKn11qTk9PDiWMl0OqBRM8t02NuC0FWIdeBalCe8UWKd7IkJChKYKFJ5TevjJb93cb0eeOUVY+SrA1PcSksJsWbhx46V5zTYyji+P1y4y4JWrYD588vns2eU+JKRJnVazqapOgqrlN0cGQkMHmz5Em3KVis/tdOkNjktELkMBX5fXkyrQ9FXFTtMjjUUIPGoNRQC/4ah1Upbrtjz2J7KyNx6xo/vgXr1whAWZvjUrRuG3bs3CP7Gx8cHIfb0bmjizTffxPr167F37160bt0azZo1w5o1a7Bw4UJ8zu+IQwEl3TCYKoZ5gAHYLtYSCqi59JjmupQ1q5gWXNpaoSiOF2+6LrdFpimx4NwF+n20W20ID8UjtzGEGMF94+lpWTHY3gh/+nSLcSw0QHmFX23FVi7x8xMOIsU6URRy9apwlwVlZcCECcrTqHZRFkfOAL+mL9G//mr+na2iMalBoTPqFfHrv3mstB3pcfvCtEJ2NEtDkoy+vBzNRh/SpKKJPcj0esPwBEL30lGjRmHUqFEW02NiYsAEWm8UFwOnThn+/+KLo5CQYPlbzptvvok333zT5rr4+vfvj/79+9ucTwklD30+FhIKFhiEtDOGu3we/FEMT9gaMosLlPiK4WnIcVExjbYUlHjirkhuExeg28NRRZvOUg1FqA3hoXiqeQm/M1orYquGInjjPu7D2/bwNKGhhuylwkLDTPYER3q9oYhIwDjMRwoaY/KKWHR7wfYT0vSha09dEjVdvCj+XWlpxaVDLn5fUlIJvfRyRWNKgpvkZNu5dUpwHTwChqBYk2FZ0Vo7IRHo31PyhmQg0hAUM3WCYbVQgORGCgtdpsV05VTNE7dh2QWCXGJBk6MJNJBShaOKNp3Fap2zs2cNG2eS61dUJF4/pCZuGovquG4VvOrWsb5vPD2V7TyRtuNl0OBX9EUGIhFhXym2U3EvbUJ0OucHSVIqostRv77lNGtFY1zF6Bs3rNdttdYLttoyMoCo8wIVrSVEen5+wB9/AN27m0939nE2RUVsKhKr2W/aA7YS7vrGThzP2kNcbWoVbTqLtV7HAVh0gy1Wt1qoHlMk9KhZek2llIoQaDLLAPwLnxmLpqQ+JJW2RhJalj39Fun1wMcfC3+n1RqKjNRKpz34/dypgV/86Kwm93KZBorx8cD3J4QrWkupBCU2HqCroADJTbjzG3tFUKvumLsSe4g3aKB8n/DHnbPWHN4dCNU5s2BSiUisY1CxntM1GQo757IlMhIwGfuQAfgeg/AFDL3X21OJWU32FNtZ6xV8xQpV61TbRSh9XKVk7VV1ulKw2srPRQh1iJww2XLQ5CKJAxMLdTRq2vO4s89lCpDcgLu/sRPHE3uIK811FBp3To0BXZ2NhYSirFlzXEB9m90yeHoCdetazhKAu4K/tWd4GVn0euDbb83W9yzWqzp+WUWz1qGinY1ezSjNKeOnz7RSckiraFWan1Vk0Zi9hALF0lJg0ObyitZFKWnwGic90uN3NMofL86ZKEByMUKjxKtZGZlUTmIPcaXnjiPGwHMZD+qcSRlY17Rhpy/yEYcU49AufAxwbHm4wFPKnXqdFmJtyBJXCBxM08fv/Vljq/mZypyZoyJWJPbQQ4CeRWIX6wrfhsrKCFu1UvRzVVGA5CD2FPmIjRJv1zhaVpie4E4cB5BIIGd091q1DGMtxcWVT1N6fB2VM+VK5AysWx8XEI+zCMJd0eCI1XVwebhQHSQX6lzP3twaOUOWOAOXPqHenyuyU06xLhUqgiOGKuHXnSwrMyw3Pd35LSvp8ehCKvXbugp0OmUdeboLJfWpPD3Lm+CqQShnqm7dylcfrhieYP7WB9aNwhUE47bwUDIwBEfnEQsW4uDycP74FTrX6lyvshPq/dmenhmVBDpKKsQrZRrIqlFvSiiurMB40yoKkFxIVXhbd2Vq9KZeGfH7DVXYj6hLstXSVHPjGmrhhmhwBBjqApWhgloIcONXPBhQq2Ski9furUQsen92l+ZnKjHNIVSjv6XmzYWL7Sq6J3AhFCCpKT8f0GgMHzu6vnZUPRJCiAJFRdBm6K0GR4Dl+HcO5+wBtRzIGTkjcpj2/lyQnOa05mfOLoJSgyOK7dRCAZKLcYe381GjRuHpp592djJc3ooVK1C9enXVl5uWlgaNRoOTJ0+qvmxb1OrTyxVpNBps2LDB8guxsm8TQuPfkcrNUUOXVEVqF9uphQIkF2ftgTRq1ChoNBpoNBp4enoiNjYW06ZNQ0lJidVlVvU+gxwhJiYGc+fOdXYyJNu1axc0Gg3u3LkjOg93fnl4aNCmjeHj4aExnnMxMTEAgK5duxqnmX7Gjh1rXBY37dChQ2brKCwsREhICDQaDXbt2mUxv0ajQVBQEDp27Ig//vjD7Lfp6ekYPXo0wsPD4enpiejoaLzxxhvIEmoKamLJkilo1ephi+mZmZno3bu35Q/Eyr4BQzlAo0bQNG+OmNahdE0pYFp0U6uWczuGdEd5eZVjf7lCq0UOBUhurlevXsjMzERqairefvttTJkyBbNNe9pyQYwxm0Eccb4vv/wSmZmZ0OszsWVLJgAgKWk5MjMzkZmZiSNHjhjnfeWVV4zTuc9nn31mtryoqCgsX77cbNr69evhL1KrfPlyw7r279+PmjVrom/fvrj4YMCuixcvonXr1khNTcXatWtx/vx5LFq0CL///jvat2+P7Oxs2dtbp04deAlV+BMaZBYwTKteHQiwXrmbEA6/hZ+aPZkT9VGA5CgVNO6Dl5cX6tSpg+joaLz66qvo0aMHfv75ZwDAnDlz8NBDD8HPzw9RUVEYN24c8kyaTXBFQNu2bUN8fDz8/f2NARentLQUb731FqpXr46QkBD861//shgAt7CwEBMmTECtWrXg7e2Nxx57zOzhyeVWbNmyBa1atYKXlxf27duHCxcuYMCAAahduzb8/f3Rpk0b7Nixw+r2njp1CmPHdkOXLgEIDg5Eq1atcPToUbPt+eWXX9CoUSP4+vpi0KBBuHfvHlauXImYmBgEBwfjzTcnoNRkwJ/c3NsYNepFBAcHw9fXF3369MaVK+bjXa1btw5NmzaFl5cXYmJi8MUXXxi/69q1Ky5fvoz/+7//M+Z6mLK2fwFg6dKliI+Ph7e3Nxo3bowFCxaYff/nn3+iZcuW8Pb2RuvWrXHixAmr+0inA86e/RZjx7ZG9eoBqFOnDoYNG4YbN24AMBTRdXvQG1twcDA0Go3gAMRBQUGoU6cO6tSpg5o16wAAqlevbpwWatIc3tfX1zid+wQGBpotb+TIkfjuu+9QUFBgnLZs2TKMFGnfza2rWbNmWLhwIQoKCrB9+3YAwPjx4+Hp6YnffvsNXbp0Qd26ddG7d2/s2LEDGRkZmDRpkuAyN21agW++mYpTp04Zc8bOnFkBnc68iI0rxvz+++/RqVMn+NStizZjx+JcWRmO3LmD1omJ8K9XD71798bNmzfN1mHteBYVFeG1115DWFgYvL29ER0djVmzZgmmlbguV6kjVVkCLJfdDlYF5OTkMAAsJyfH4ruCggKWnJzMCgoKlK9o/nzuGDOm1TK2dKnsRZSUMHbkSPmnpER83pEjR7IBAwaYTevfvz975JFHGGOM/ec//2F//PEHu3TpEvv9999Zo0aN2Kuvvmqcd/ny5axatWqsR48e7MiRI+zYsWMsPj6eDRs2zDjPp59+yoKDg9m6detYcnIyS0hIYAEBAWbrnTBhAgsPD2ebN29mf//9Nxs5ciQLDg5mWVlZjDHGdu7cyQCw5s2bs99++42dP3+eZWVlsZMnT7JFixaxv/76i507d459+OGHzNvbm12+fFl0m5s2bcp69x7BfvjhLDt79hz7/vvv2cmTJ82254knnmDHjx9nu3fvZiEhIezJJ59kQ4YMYX///TfbtGkT8/T0ZDNmfGfcx50792fx8fFsz5497OTJk+zJJ3uyqKhYdvBgESspYezo0aNMq9WyadOmsZSUFLZ8+XLm4+PDli9fzhhjLCsri0VGRrJp06axzMxMlpmZKXn/rlq1ioWFhbF169axixcvsnXr1rEaNWqwFStWMMYYu3v3LgsNDWXDhg1jZ86cYZs2bWL169dnANiJEydE91NSUhLbvHkzu3DhAjt48CBr37496927N2OMsZKSErZu3ToGgKWkpLDMzEx2584d0WVxALD169dbTO/SpQt74403JP22efPm7Ntvv2WMMXb58mXm5eXFzp07xwCwnTt3iq4rOzubAWBfffUVy8rKYhqNhs2cOVNwXa+88goLDg5mZWVlFt/du3ePvf3226xp06bGY3Xv3j2LdV66dIkBYI0bN2Zbt25lycnJrF27dqxVq1asa9eubN++fez48eMsNjaWjR071rh8W8dz9uzZLCoqiu3Zs4elpaWxvXv3sjVr1ghuh5x7U15e+a0nL8/m7MQOpvv4+nXa3xXF2vPb0ShAUitASk83BEXlgTBjOp1hugz2BkhlZWVs+/btzMvLi02cOFFw/h9++IGFhIQY/16+fDkDwM6fP2+cNn/+fFa7dm3j32FhYeyzzz4z/l1cXMwiIyON683Ly2PVqlVjq1evNs5TVFTEwsPDjb/jAqQNGzbY3P6mTZuyefPmiX4fEBDAJk9eIbhvhLYnMTGR+fr6srt37xqn9ezZk40Zk8iOHGFs3TrDw3nPnv3G769fv8W8vHzYrFnfs5ISxoYNG8aeeOIJs3W98847rEmTJsa/o6Oj2X/+8x+b6eHv3wYNGlg8IKdPn87at2/PGGNs8eLFLCQkxOz8XLhwoc0Aie/IkSMMgHE/cMfk9u3bkpdhLUCqVq0a8/PzM/usWrXK4rdz585l3bp1Y4wxNnXqVDZw4EB2+/ZtqwFSfn4+GzduHNPpdOzUqVPs0KFDomlhjLE5c+YwAOz69euC30+ePJm1aNHC6vZxAdJSk5ectWvXMgDs999/N06bNWsWa9SokfFvW8fz9ddfZ927dxcM3vgoQHIttI+dw5kBklsVsc2fPx8xMTHw9vbGo48+ij///NPZSSonNkiNg3u7+uWXX+Dv7w9vb2/07t0bzz33HKZMmQIA2LFjBx5//HFEREQgICAAL7zwArKysnDv3j3j7319fdGgQQPj32FhYcaimJycHGRmZuJRk8GQPDw80Lp1a+PfFy5cQHFxMTp27GicVq1aNbRt2xZnz541S6vp7wAgLy/v/9u7+7ga7/8P4K9TOt2dOpVyTqemUiiV25H4EpNu3MxoNDGVhlkNM3Mzv0lhiPmGjDHT1mKWMZvbmVWmNZotbCpKFqMkFKX7z++Pvuda1zmnO9Rx8n4+HteD87k+13W9r8+5Oudzrs/NhQULFsDJyQkmJiYQiUTIyMhAnqrpxP9n/vz5WLXqDSxe7Il169YgJyeHt17xfCQSCWxtbXn9XCQSCQoLb6NPHyA3NwPa2h1459ipU0c4OXVHZWXG/5qrMnjnBwCDBw/GlStXeE11qjRWvqWlpcjJyUFISAhEIhG3rFy5kjuvjIwM9OzZE3r1Ogq7u7s3ekwAOHfuHMaOHYvOnTvDyMgIHh4eANBo2T6JKVOmID09nbe8/PLLSvmmTp2K1NRUXL16FbGxsZg+fXqD+5w8eTJEIhGMjIzwzTffYOfOnejZsye3nik09baG+seTSCQAAFdXV15aS97PoKAgpKeno3v37pgzZw5++OGHVj8H8nQ8s81ApNV0UHcAzbV3717Mnz8f27Ztg5ubG6Kjo+Ht7Y2srCx06tRJ3eH9O/1//UrSE8521Zwh1cOHD8fWrVshFAohk8nQoUPdW3rt2jWMGTMGs2fPxqpVq2BmZobTp08jJCQElZWVMDAwAFBXmalPIBC02hePocKnyoIFC3DixAmsX78eDg4O0NfXx6uvvorKRp6Eunz5cgQEBODw4cM4evQowsPD8dVXX2H8+PEAVJ+PqrTa2lpoa9e9bQJB6408aqx85f3BduzYwaugAYD2EwRUWloKb29veHt7Iz4+HhYWFsjLy4O3t3ejZfskxGIxHJpxrXfs2BFjxoxBSEgIysvL4evriwcPHqjM+9///heenp4Qi8W8/k4ODg4QCATIyMjg3vf6MjIyYGpqytvmcdV//+R9yxTTav/3N9+c97Nv377Izc3F0aNH8eOPP2LSpEnw9PTEvn37njhWoO45YVrJV4CeXZ+NiWQI0WAacwdpw4YNmDFjBoKDg9GjRw9s27YNBgYG+Oyzz9QdWp2nNNtVS4fgGxoawsHBAZ07d+YqR0DdHYTa2lp89NFHGDhwILp164abN2+2KBaxWAxLS0ucOXOGS6uursa5c+e41/b29hAKhUhJSeHSqqqqkJaWhh49ejS6/5SUFAQFBWH8+PFwdXWFVCrFtWvXmoyrW7dueOedd/DDDz9gwoQJSiOjWsLJyQnV1dW8cywqKkJWVhYXv5OTE+/85LF369aN++ITCoVN3k1SJJFIIJPJcPXqVTg4OPAWOzs77tgXLlxAeb25eBSHyivKzMxEUVER1qxZgyFDhsDR0ZG7yyEn/N+oq5bG/DRMnz4dSUlJmDZtWqMVQalUCgcHB6WKTseOHTFy5Eh8/PHHvA7fAJCfn4/4+Hj4+/srdZaXe5z3qjma834CgLGxMfz9/bFjxw7s3bsX33zzzWONuqvP0BBgn+7EDS0b6I9+qW6E3VN4wjwhzzONqCBVVlbi3Llz8PT05NK0tLTg6emJ1NRUNUam4Bma7crBwQFVVVXYvHkzrl69iri4OGzbtq3F+5k7dy7WrFmDb7/9FpmZmXjrrbd4c+cYGhpi9uzZeO+993Ds2DFcunQJM2bMQFlZGUKaOP+uXbti//79SE9Px/nz5xEQEMD9Glfl0aNHCAsLQ1JSEv7++2+kpKQgLS0NTk5OLT6v+jGMGzcOM2bMwOnTp3H+/HlMnToVVlZWGDduHADg3XffxcmTJ7FixQpcvnwZn3/+OWJiYrBgwQJuP7a2tjh16hT++ecf3Llzp9nHj4iIwOrVq7Fp0yZcvnwZFy9exK5du7BhwwYAQEBAAAQCAWbMmIFLly7hyJEjWL9+faP77Ny5M4RCIffef/fdd1ixYgUvj42NDQQCAQ4dOoTCwkLe6MbHUVZWhvz8fN5y7949lXl9fHxQWFiIyMjIxz5eTEwMKioq4O3tjVOnTuH69es4duwYRo4cCSsrK6xatarBbW1tbZGbm4v09HTcuXMHFU/xYYdNvZ8bNmzAnj17kJmZicuXLyMhIQFSqfTJJxS9cQOYOfPfO9ht/IR5Qtojjagg3blzBzU1NVwfADmJRIL8/Hyl/BUVFSgpKeEtbU7Ns1316tULGzZswNq1a+Hi4oL4+PjHGk787rvv4vXXX0dgYCDc3d1hZGSk1KyxZs0a+Pn54fXXX0ffvn2RnZ2N48ePw9TUtNF9b9iwAaamphg0aBDGjh0Lb29v9O3bt8H82traKCoqwrRp09CtWzdMmjQJvr6+iIiIaPF51bdr1y7069cPY8aMgbu7OxhjOHLkCNeU0rdvX3z99df46quv4OLigmXLliEyMpI3ND4yMhLXrl2Dvb19i5p23njjDXz66afYtWsXXF1d4eHhgdjYWO6Og0gkwvfff4+LFy+iT58+WLp0KdauXdvoPi0sLBAbG4uEhAT06NEDa9asUapUWVlZISIiAosXL4ZEIkFYWFizY1Zlx44dsLS05C2TJ09WmVcgEMDc3Jy7i/U4unbtit9++w1dunTBpEmTYG9vj5kzZ2L48OFITU2FmZlZg9v6+fnBx8cHw4cPh4WFBfbs2fPYcShq6v00MjJCVFQUXnzxRfTv3x/Xrl3DkSNHoKX4MKqWUlMfSELaMwFri56OT+jmzZuwsrLCL7/8wuugunDhQiQnJ/OaR4C6fiqqvjSLi4uV5mYpLy9Hbm4u7OzseB1hH0tp6b+PUn/4kHryEUIeW4s+m27cqGtWU+wDee0a9UUiGq2kpARisVjl93dr04g7SObm5tDW1kaBwuxcBQUFkEqlSvmXLFmC4uJibrl+/XpbhUoIIW3P2hrYvv3fjovP0hM/CdFQGlFBEgqF6NevH06ePMml1dbWco8VUKSrqwtjY2Pe0iZoHCghRF1CQuruGCUm1v37rDzxkxANpTHD/OfPn4/AwEC8+OKLGDBgAKKjo1FaWorg4GB1h0YIIc8Ga2u6a0TIU6IxFSR/f38UFhZi2bJlyM/PR+/evXHs2DGljtuEEEIIIU9KYypIABAWFvbEo20IIYQQQpqiEX2Q2oIGDOYjhDxH6DOJEPV67itI8rlu6j+fjBBC1E3+maT4uBpCSNvQqCa21qCtrQ0TExPuUQwGBgYNPqKAEEJaG2MMZWVluH37NkxMTJ7ouXyEkMf33FeQAHBzKSk+r4oQQtTFxMRE5TxvhJC2QRUk1D36wNLSEp06dUJVVZW6wyGEPOd0dHTozhEhakYVpHq0tbXpQ4kQQggh1EmbEEIIIUQRVZAIIYQQQhRQBYkQQgghRMFz0QdJPuFaSUmJmiMhhBBCSHPJv7fVMXHqc1FBKioqAgC88MILao6EEEIIIS314MEDiMXiNj3mc1FBMjMzAwDk5eW1eQE/L0pKSvDCCy/g+vXrMDY2Vnc47Q6Vb+ujMm59VMatqz2WL2MMDx48gEwma/NjPxcVJC2tuq5WYrG43Vw0zypjY2Mq41ZE5dv6qIxbH5Vx62pv5auuGxvUSZsQQgghRAFVkAghhBBCFDwXFSRdXV2Eh4dDV1dX3aG0W1TGrYvKt/VRGbc+KuPWReX7dAmYOsbOEUIIIYQ8w56LO0iEEEIIIS1BFSRCCCGEEAVUQSKEEEIIUUAVJEIIIYQQBc9FBWnLli2wtbWFnp4e3NzccPbsWXWH1G4sX74cAoGAtzg6Oqo7LI116tQpjB07FjKZDAKBAN9++y1vPWMMy5Ytg6WlJfT19eHp6YkrV66oJ1gN1VQZBwUFKV3TPj4+6glWA61evRr9+/eHkZEROnXqhFdeeQVZWVm8POXl5QgNDUXHjh0hEong5+eHgoICNUWsWZpTvsOGDVO6ht988001Ray52n0Fae/evZg/fz7Cw8Px+++/o1evXvD29sbt27fVHVq74ezsjFu3bnHL6dOn1R2SxiotLUWvXr2wZcsWleujoqKwadMmbNu2DWfOnIGhoSG8vb1RXl7expFqrqbKGAB8fHx41/SePXvaMELNlpycjNDQUPz66684ceIEqqqq4OXlhdLSUi7PO++8g++//x4JCQlITk7GzZs3MWHCBDVGrTmaU74AMGPGDN41HBUVpaaINRhr5wYMGMBCQ0O51zU1NUwmk7HVq1erMar2Izw8nPXq1UvdYbRLANiBAwe417W1tUwqlbJ169Zxaffv32e6urpsz549aohQ8ymWMWOMBQYGsnHjxqklnvbo9u3bDABLTk5mjNVdszo6OiwhIYHLk5GRwQCw1NRUdYWpsRTLlzHGPDw82Ny5c9UXVDvRru8gVVZW4ty5c/D09OTStLS04OnpidTUVDVG1r5cuXIFMpkMXbp0wZQpU5CXl6fukNql3Nxc5Ofn865nsVgMNzc3up6fsqSkJHTq1Andu3fH7NmzUVRUpO6QNFZxcTGAfx8afu7cOVRVVfGuY0dHR3Tu3Jmu48egWL5y8fHxMDc3h4uLC5YsWYKysjJ1hKfR2vXDau/cuYOamhpIJBJeukQiQWZmppqial/c3NwQGxuL7t2749atW4iIiMCQIUPw559/wsjISN3htSv5+fkAoPJ6lq8jT87HxwcTJkyAnZ0dcnJy8P7778PX1xepqanQ1tZWd3gapba2FvPmzcPgwYPh4uICoO46FgqFMDEx4eWl67jlVJUvAAQEBMDGxgYymQwXLlzAokWLkJWVhf3796sxWs3TritIpPX5+vpy/+/Zsyfc3NxgY2ODr7/+GiEhIWqMjJDH89prr3H/d3V1Rc+ePWFvb4+kpCSMGDFCjZFpntDQUPz555/UL7GVNFS+M2fO5P7v6uoKS0tLjBgxAjk5ObC3t2/rMDVWu25iMzc3h7a2ttLoiIKCAkilUjVF1b6ZmJigW7duyM7OVnco7Y78mqXruW116dIF5ubmdE23UFhYGA4dOoTExERYW1tz6VKpFJWVlbh//z4vP13HLdNQ+ari5uYGAHQNt1C7riAJhUL069cPJ0+e5NJqa2tx8uRJuLu7qzGy9uvhw4fIycmBpaWlukNpd+zs7CCVSnnXc0lJCc6cOUPXcyu6ceMGioqK6JpuJsYYwsLCcODAAfz000+ws7Pjre/Xrx90dHR413FWVhby8vLoOm6GpspXlfT0dACga7iF2n0T2/z58xEYGIgXX3wRAwYMQHR0NEpLSxEcHKzu0NqFBQsWYOzYsbCxscHNmzcRHh4ObW1tTJ48Wd2haaSHDx/yfuXl5uYiPT0dZmZm6Ny5M+bNm4eVK1eia9eusLOzwwcffACZTIZXXnlFfUFrmMbK2MzMDBEREfDz84NUKkVOTg4WLlwIBwcHeHt7qzFqzREaGordu3fj4MGDMDIy4voVicVi6OvrQywWIyQkBPPnz4eZmRmMjY3x9ttvw93dHQMHDlRz9M++pso3JycHu3fvxqhRo9CxY0dcuHAB77zzDoYOHYqePXuqOXoNo+5hdG1h8+bNrHPnzkwoFLIBAwawX3/9Vd0htRv+/v7M0tKSCYVCZmVlxfz9/Vl2dra6w9JYiYmJDIDSEhgYyBirG+r/wQcfMIlEwnR1ddmIESNYVlaWeoPWMI2VcVlZGfPy8mIWFhZMR0eH2djYsBkzZrD8/Hx1h60xVJUtALZr1y4uz6NHj9hbb73FTE1NmYGBARs/fjy7deuW+oLWIE2Vb15eHhs6dCgzMzNjurq6zMHBgb333nusuLhYvYFrIAFjjLVlhYwQQggh5FnXrvsgEUIIIYQ8DqogEUIIIYQooAoSIYQQQogCqiARQgghhCigChIhhBBCiAKqIBFCCCGEKKAKEiGEEEKIAqogEdKE2NhYCAQCXLt2rc2PfezYMfTu3Rt6enoQCARKz696lgQFBUEkEqnl2ElJSRAIBEhKSmrV4wQFBcHW1rZVj/E0xMXFwdHRETo6OjAxMVF3OIRoJKogkacuNzcXYWFh6NatGwwMDGBgYIAePXogNDQUFy5c4OVdvnw5BAIBtLS0cP36daV9lZSUQF9fHwKBAGFhYQCAYcOGQSAQNLksX768LU631RQVFWHSpEnQ19fHli1bEBcXB0NDQ3WHRZ5xmZmZCAoKgr29PXbs2IHt27c3mPfkyZOYPn0697fapUsXvPHGG7h165bK/L/88gv+85//wMDAAFKpFHPmzMHDhw95edLS0hAWFgZnZ2cYGhqic+fOmDRpEi5fvtxo3FVVVejRowcEAgHWr1+vtL62thZRUVGws7ODnp4eevbsiT179ijla+wzYeTIkby8q1atwssvvwyJRNLoZ0ZWVhbeeecdDBo0iPuxoo4fTKRttftnsZG2dejQIfj7+6NDhw6YMmUKevXqBS0tLWRmZmL//v3YunUrcnNzYWNjw9tOV1cXe/bswcKFC3np+/fvVzrG0qVL8cYbb3Cv09LSsGnTJrz//vtwcnLi0jX9uUNpaWl48OABVqxYAU9PT3WH80wbOnQoHj16BKFQ2KrH2bFjB2pra1v1GE8qKSkJtbW12LhxIxwcHBrNu2jRIty9excTJ05E165dcfXqVcTExODQoUNIT0+HVCrl8qanp2PEiBFwcnLChg0bcOPGDaxfvx5XrlzB0aNHuXxr165FSkoKJk6ciJ49eyI/Px8xMTHo27cvfv31V7i4uKiMZfPmzcjLy2sw1qVLl2LNmjWYMWMG+vfvj4MHDyIgIAACgQCvvfYaly8uLk5p299++w0bN26El5cXL/3//u//IJVK0adPHxw/frzBY6empmLTpk3o0aMHnJycuIe/knZO3c86Ie1HdnY2MzQ0ZE5OTuzmzZtK66uqqtjGjRtZXl4elxYeHs4AsAkTJrDevXsrbTNy5Ejm5+fHALDQ0FCVx01ISGAAWGJi4lM7l/p27drFALDc3NxW2X9DPv/8cwaApaWlNZm3tLS0DSJqXGBgIDM0NFR3GM+9iIgIBoAVFhY2mTc5OZnV1NQopQFgS5cu5aX7+voyS0tL3jO9duzYwQCw48ePc2kpKSmsoqKCt+3ly5eZrq4umzJliso4CgoKmFgsZpGRkQwAW7duHW/9jRs3mI6ODu8zoLa2lg0ZMoRZW1uz6urqRs8zJCSECQQCdv36dV66/G+6sLCQAWDh4eEqty8qKmIlJSWMMcbWrVunls8D0vaoiY08NVFRUSgtLcWuXbtgaWmptL5Dhw6YM2cOXnjhBaV1AQEBSE9PR2ZmJpeWn5+Pn376CQEBAa0ad31//fUXXnrpJejr68Pa2horV65Uecfg4MGDGD16NGQyGXR1dWFvb48VK1agpqaGyxMeHg4dHR0UFhYqbT9z5kyYmJigvLxcZRzDhg1DYGAgAKB///4QCAQICgri1rm4uODcuXMYOnQoDAwM8P777wMAbt++jZCQEEgkEujp6aFXr174/PPPefu+du0a14yxZcsWdOnSBQYGBvDy8sL169fBGMOKFStgbW0NfX19jBs3Dnfv3m12GV69ehXe3t4wNDSETCZDZGQkmMIjH2traxEdHQ1nZ2fo6elBIpFg1qxZuHfvnlK+5cuXQyaTwcDAAMOHD8elS5dga2vLlQegug+SvJwuXbqE4cOHw8DAAFZWVoiKiuIdQ77t119/jVWrVsHa2hp6enoYMWIEsrOzeXkV+yDVL8vt27fD3t4eurq66N+/P9LS0pTKJiEhAT169ICenh5cXFxw4MCBFvVr+vjjj+Hs7AxdXV3IZDKEhoby+qXZ2toiPDwcAGBhYdFkU/PQoUOhpaWllGZmZoaMjAwuraSkBCdOnMDUqVNhbGzMpU+bNg0ikQhff/01lzZo0CClO3ldu3aFs7Mzb5/1LV68GN27d8fUqVNVrj948CCqqqrw1ltvcWkCgQCzZ8/GjRs3kJqa2uA5VlRU4JtvvoGHhwesra1565pb7mZmZjAyMmpWXtJ+UBMbeWoOHToEBwcHuLm5tXjboUOHwtraGrt370ZkZCQAYO/evRCJRBg9evTTDlWl/Px8DB8+HNXV1Vi8eDEMDQ2xfft26OvrK+WNjY2FSCTC/PnzIRKJ8NNPP2HZsmUoKSnBunXrAACvv/46IiMjsXfvXq7/FABUVlZi37598PPzg56enspYli5diu7du2P79u2IjIyEnZ0d7O3tufVFRUXw9fXFa6+9hqlTp0IikeDRo0cYNmwYsrOzERYWBjs7OyQkJCAoKAj379/H3LlzeceIj49HZWUl3n77bdy9exdRUVGYNGkSXnrpJSQlJWHRokXIzs7G5s2bsWDBAnz22WdNlmFNTQ18fHwwcOBAREVF4dixYwgPD0d1dTX3vgLArFmzEBsbi+DgYMyZMwe5ubmIiYnBH3/8gZSUFOjo6AAAlixZgqioKIwdOxbe3t44f/48vL29G6xYKrp37x58fHwwYcIETJo0Cfv27cOiRYvg6uoKX19fXt41a9ZAS0sLCxYsQHFxMaKiojBlyhScOXOmyePs3r0bDx48wKxZsyAQCBAVFYUJEybg6tWr3LkcPnwY/v7+cHV1xerVq3Hv3j2EhITAysqqWeeyfPlyREREwNPTE7Nnz0ZWVha2bt2KtLQ0rsyio6PxxRdf4MCBA9i6dStEIlGLm5ofPnyIhw8fwtzcnEu7ePEiqqur8eKLL/LyCoVC9O7dG3/88Uej+2SMoaCgAM7Ozkrrzp49i88//xynT5+GQCBQuf0ff/wBQ0NDXhM6AAwYMIBb/5///EfltkeOHMH9+/cxZcqURmMkRIma72CRdqK4uJgBYK+88orSunv37rHCwkJuKSsr49bJm9gKCwvZggULmIODA7euf//+LDg4mDHG2qSJbd68eQwAO3PmDJd2+/ZtJhaLlW6p1z8HuVmzZjEDAwNWXl7Opbm7uzM3Nzdevv379zcrXnnTnmITm4eHBwPAtm3bxkuPjo5mANiXX37JpVVWVjJ3d3cmEom4JoLc3FwGgFlYWLD79+9zeZcsWcIAsF69erGqqiouffLkyUwoFPLOS5XAwEAGgL399ttcWm1tLRs9ejQTCoVck8/PP//MALD4+Hje9seOHeOl5+fnsw4dOihdU8uXL2cAWGBgIJeWmJioVKbycvriiy+4tIqKCiaVSpmfn5/Stk5OTrymoY0bNzIA7OLFi7xztLGx4V7Ly7Jjx47s7t27XPrBgwcZAPb9999zaa6ursza2po9ePCAS0tKSmIAePtU5fbt20woFDIvLy9ek1hMTAwDwD777DMurf7f1ONYsWIFA8BOnjzJpcn/xk6dOqWUf+LEiUwqlTa6z7i4OAaA7dy5k5deW1vLBgwYwCZPnswY+7c8FZvYRo8ezbp06aK039LSUgaALV68uMFj+/n5MV1dXXbv3r0G8zTVxFYfNbE9P6iJjTwVJSUlAKBymPewYcNgYWHBLVu2bFG5j4CAAGRnZyMtLY37ty2b144cOYKBAwdyv0qBumYKVb88699VevDgAe7cuYMhQ4agrKyM10w4bdo0nDlzBjk5OVxafHw8XnjhBXh4eDx2rLq6uggODlaKXyqVYvLkyVyajo4ON9IoOTmZl3/ixIkQi8Xca/mdv6lTp6JDhw689MrKSvzzzz/Niq3+3TL56MPKykr8+OOPAOqamcRiMUaOHIk7d+5wS79+/SASiZCYmAigboRVdXU1r1kFAN5+++1mxQHUXY/1m22EQiEGDBiAq1evKuUNDg7mNQ0NGTIEAFTmVeTv7w9TU9MGt7158yYuXrzINUnJeXh4wNXVtcn9//jjj6isrMS8efN4TWIzZsyAsbExDh8+3OQ+muPUqVOIiIjg7iTKPXr0CEDddadIT0+PW69KZmYmQkND4e7uzjUby8XGxuLixYtYu3Zto3E9evSowWPXj09RSUkJDh8+jFGjRtF0B6TFqIJEngp5+7zikF8A+OSTT3DixAl8+eWXje6jT58+cHR0xO7duxEfHw+pVMr7kG5tf//9N7p27aqU3r17d6W0v/76C+PHj4dYLIaxsTEsLCy4L+Li4mIun7+/P3R1dREfH8+tO3ToEKZMmdJgc0JzWFlZKfXzkMev2KdE3izx999/89I7d+7Mey2vLCn2EZOnK/YPUkVLSwtdunThpXXr1g0AuGHRV65cQXFxMTp16sSrOFtYWODhw4e4ffs2L17FkVhmZma8ykhjrK2tlcrZ1NRU5bkolof8GM0576a2behcGkpTJN9e8VoUCoXo0qWL0nv7ODIzMzF+/Hi4uLjg008/5a2T/yCoqKhQ2q68vFxlMzRQ12w9evRoiMVi7Nu3D9ra2ty6kpISLFmyBO+9957KfomKx2/o2PXjU/TNN9+gvLycmtfIY6E+SOSpEIvFsLS0xJ9//qm0Tn5nojnzhgQEBGDr1q0wMjKCv7+/0pf9s+D+/fvw8PCAsbExIiMjYW9vDz09Pfz+++9YtGgRr1O3qakpxowZg/j4eCxbtgz79u1DRUVFg51Rm6uhL4SWqP9l1Zx0ptDR+nHV1taiU6dOXKVRkYWFxVM5DtCyc3mS827tMmtt169fh5eXF8RiMY4cOaLUIVk+6ELV/Ei3bt2CTCZTSi8uLoavry/u37+Pn3/+WSnP+vXrUVlZCX9/f+6z4caNGwDqKpbXrl2DTCaDUCiEpaUlEhMTwRjjVXjl8ag6PlB3t1YsFmPMmDHNLAlC/vXsffsQjTV69GhkZ2fj7Nmzj72PgIAA3Lp1C5cvX27T5jUAsLGxwZUrV5TSs7KyeK+TkpJQVFSE2NhYzJ07F2PGjIGnp2eDdzWmTZuGy5cvIy0tDfHx8ejTp4/KzqpPK37FUXfyJj/FuadaQ21trVKTlHyCQPmIIXt7exQVFWHw4MHw9PRUWnr16sWLV3EkWVFRUbPu6jxLGjqXhtIa2l7xWqysrFQ5r1hLFBUVwcvLCxUVFTh+/LjKEaguLi7o0KEDfvvtN6Xjp6eno3fv3rz08vJyjB07FpcvX8ahQ4fQo0cPpX3m5eXh3r17cHZ2hp2dHezs7LimyQ8//BB2dna4dOkSAKB3794oKytTGgUn70CveHygrvKUmJgIPz8/lc1zhDSFKkjkqVm4cCEMDAwwffp0FBQUKK1vzq9pe3t7REdHY/Xq1by+QG1h1KhR+PXXX3kVvMLCQqU7HfK7BfXPp7KyEh9//LHK/fr6+sLc3Bxr165FcnLyE989asioUaOQn5+PvXv3cmnV1dXYvHkzRCLRE/V5aomYmBju/4wxxMTEQEdHByNGjAAATJo0CTU1NVixYoXSttXV1dyw9REjRqBDhw7YunVrg/vXFDKZDC4uLvjiiy94zdDJycm4ePFik9t7enpCKBRi06ZNvOtu586dKC4ufuyRnqWlpRg1ahT++ecfHDlyRGUTM1B3h9jT0xNffvklHjx4wKXHxcXh4cOHmDhxIpdWU1MDf39/pKamIiEhAe7u7ir3OWfOHBw4cIC3fPLJJwDqplM4cOAA7OzsAADjxo2Djo4O72+MMYZt27bBysoKgwYNUtr/V199hdraWmpeI4+NmtjIU9O1a1fs3r0bkydPRvfu3bmZtBljyM3Nxe7du6GlpaU0F4kixeHoT0o+PDoxMRHDhg1rMN/ChQsRFxcHHx8fzJ07lxvmb2Njw3tEyqBBg2BqaorAwEDMmTMHAoEAcXFxDVYAdXR08NprryEmJgba2tq8TtRP08yZM/HJJ58gKCgI586dg62tLfbt24eUlBRER0e3yTwuenp6OHbsGAIDA+Hm5oajR4/i8OHDeP/997mmMw8PD8yaNQurV69Geno6vLy8oKOjgytXriAhIQEbN27Eq6++ColEgrlz5+Kjjz7Cyy+/DB8fH5w/fx5Hjx6Fubn5E/XhUocPP/wQ48aNw+DBgxEcHIx79+4hJiYGLi4uKvvu1WdhYYElS5YgIiICPj4+ePnll5GVlYWPP/4Y/fv3f+xK95QpU3D27FlMnz4dGRkZvDs0IpEIr7zyCvd61apVGDRoEDw8PDBz5kzcuHEDH330Eby8vODj48Ple/fdd/Hdd99h7NixuHv3rlLfQ3msffv2Rd++fXnr5E1tzs7OvGNbW1tj3rx5WLduHaqqqtC/f398++23+PnnnxEfH6+yiTM+Ph4ymazRv/m4uDj8/fffKCsrA1DXSX3lypUA6qbpkN+ZKy4uxubNmwEAKSkpAOoq6iYmJjAxMeENTCDtiHoGz5H2LDs7m82ePZs5ODgwPT09pq+vzxwdHdmbb77J0tPTeXmbOyQZTzDM/91332UCgYBlZGQ0GfuFCxeYh4cH09PTY1ZWVmzFihVs586dSsN6U1JS2MCBA5m+vj6TyWRs4cKF7Pjx4w3GcfbsWQaAeXl5NRmDXGPD/J2dnVVuU1BQwIKDg5m5uTkTCoXM1dWV7dq1i5enoaHU8uHuCQkJzYpDkXwm7ZycHObl5cUMDAyYRCJh4eHhSrM1M8bY9u3bWb9+/Zi+vj4zMjJirq6ubOHChbxZ2Kurq9kHH3zApFIp09fXZy+99BLLyMhgHTt2ZG+++aZS7IrD/FWVk+JQ/YbOW15O9cuvoWH+imXJGFM5bPyrr75ijo6OTFdXl7m4uLDvvvuO+fn5MUdHR6XtVYmJiWGOjo5MR0eHSSQSNnv2bKXh6y0Z5m9jY8MAqFxUTT3w888/s0GDBjE9PT1mYWHBQkNDuekj5OTTKzS0NKax8qypqWEffvghs7GxYUKhkDk7O/OmtKgvMzOTAWDz589v9HiNxVr/WpLH1dxyIu2DgDEN6UVIyGMaMGAAbGxskJCQoLYYzp8/j969e+OLL77A66+/rrY42oP79+/D1NQUK1euxNKlS9UdzhPr3bs3LCwscOLECXWHQgiph/ogkXatpKQE58+f583irA47duyASCTChAkT1BqHplE1v010dDQANNp08iyqqqpCdXU1Ly0pKQnnz5/XuHMh5HlAfZBIu2ZsbKxy/pS28v333+PSpUvYvn07wsLCYGhoqLZYNNHevXsRGxuLUaNGQSQS4fTp09izZw+8vLwwePBgdYfXIv/88w88PT0xdepUyGQyZGZmYtu2bZBKpXjzzTfVHR4hRAE1sRHSimxtbVFQUABvb2/ExcXRAy9b6Pfff8fChQuRnp6OkpISSCQS+Pn5YeXKlSpnbX+WFRcXY+bMmUhJSUFhYSEMDQ0xYsQIrFmzhvecPULIs4EqSIQQQgghCqgPEiGEEEKIAqogEUIIIYQooAoSIYQQQogCqiARQgghhCigChIhhBBCiAKqIBFCCCGEKKAKEiGEEEKIAqogEUIIIYQooAoSIYQQQoiC/wcBwu1YQb7EgwAAAABJRU5ErkJggg==", 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" ] @@ -8427,7 +8610,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -8439,7 +8622,7 @@ "outputs": [ { "data": { - "image/png": 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L19eXW7dukStXLiZOnGhw/rHWrVuHg4ODppO3MXS5T/EpUaJEnC8tWbNmNTovUz8T0O+56JP/ixcv4g3ko6KiAIiOjjbommKZ8jkbLFV67nwGPu4U/LHOnTsLGxsbUaBAAa0OXLdu3RK2traicOHCcTqivnnzRhQuXFjY2dmJO3fuxJtf7HwFAQEBiZZrwYIFAhAXL16Msy+xOVqaNGkirK2ttTq4Pn/+XDg5OenVKfjSpUt6pRcdHR3vNZUrV06ULVtWrzwTu8ZPO8l27txZWFlZxTuh1afzBOmaphAp0ylYl/v6adnmzp0bpwP106dPhYODQ4Kdgj+93k6dOgl7e/s45fu0s6I+9ysho0aNEra2tiJnzpxi1qxZmu2FChUS+fPnF4B49OhRkunoet0p8YwTEh0dLRo1aiQsLCzE3r17EzzuzJkzceYHCQ8PF3nz5hUVKlTQO81Xr16JHTt2xHkVKVJEeHh4iB07dogrV64YlH+sly9fCgsLC/Hdd98leR+S6hSs630yhdR6JkLo91z0yb9BgwbCyspK+Pn5aW1v0qSJMDMz08ylltzPOTnJYdsmNmrUKNasWYOfn5/WULx8+fKxatUq2rdvT7FixejatSu5cuXiwYMHLFu2jNevX7Nhwwby5MkTJ82wsDA6dOjAiBEjcHZ2TjT/MmXKaMrRpk0bLC0tadiwoWZIXkImTZrEoUOHqFq1Kr169cLCwoJFixYRERHBL7/8Euf4+/fv06hRI+rWrcvp06dZu3Yt7dq1o0SJEnql9/79e3LkyEGLFi0oUaIEDg4OHD58mHPnzvHbb7/plac+pk2bxj///EOFChXo3r07hQsX5u3bt1y4cIHDhw9rVbXrY8qUKfz111/UqFGDHj16UKhQIZ49e8aWLVs4efIkGTJkMOo8fZ9TrDZt2jBs2DCaNm1Kv379CA0NZcGCBeTPnz/eDtCprVq1akyePJlHjx5pNS1Vr16dRYsW4eXlFafqPD7Jcd26PiuVSkWNGjU4evRooun99NNP7N69m4YNG/L27VvWrl2rtb9Dhw4AVKhQgZYtWzJixAhevnxJ3rx5WbVqleZviL5pZsqUiSZNmsQpz6xZswDi7NMn/1ibNm0iOjo60WaIuXPnEhAQoBkUsGfPHh4/fgwoHf9j/+bpep9MIbWeCaDXc9En/yFDhrB//36qVatGnz59cHV15c8//2T//v1069ZN05SUXM85RaRqOJWOJVRDI4TyTRaId+jjlStXRNu2bUW2bNmEpaWlyJo1q2jbtm2CU19HRkaK+vXri3bt2un87e/nn38W2bNnF2ZmZvFOrJfQLLoXLlwQderUEQ4ODsLOzk7UqlVLnDp1SuuY2DSuX78uWrRoIRwdHUXGjBlFnz594p1YL6n0IiIixJAhQ0SJEiU0E8WVKFFCa9ifPnnq8037xYsXonfv3iJnzpyaZ/HVV1+JxYsXG5ymEEI8fPhQdOzYUbi5uQlra2uRO3du0bt37yQnXdP1PF3ua3xl++uvv0TRokWFlZWVKFCggFi7dm2iw7ZTs4YmKChImJubC0dHRxEdHa3ZvnbtWgHo9U1Ql+s29TN+//69AESbNm2SLF+NGjXinRAz9vWxsLAwMXjwYJE1a1ZhbW0typUrJw4cOGBUmvGdm9DSB7rmH6tixYoic+bMWs/wU56engmW8+P7bsw16SutPZPY8+N7Lvo8E19fX1GvXj2RNWtWYWlpKfLnzy8mT54soqKiDE5TCN2ec0pQCZECvd0kg6jVatq1a0dISAg7duzAwiL1K9TGjx/PhAkTePXqVZzRLp9TnpJkjH379tGgQQMuX76c6GR1kiSZTup/QkoJ6tmzJ8+ePePgwYNpIpiRJEk3//zzD23atJHBjCSlIPkpmUY9fPiQpUuXxpn3I7YNVJKktOvXX39N7SJI0hdHBjRplKenZ4rMfSFJkiRJnwPZh0aSJEmSpHRPTqwnSZIkSVK6JwMaSZIkSZLSPRnQSJIkSZKU7smARpIkSZKkdE8GNFKaM378eFQqFa9fv07tokiSJEnphAxoJABWrlyJSqVCpVLFuyK4EIKcOXOiUqk0K4KnJ/Pnz2flypVxtl+/fp3x48fz4MGDZC/DgwcPNPd427ZtcfZ/HMgFBASQLVs2qlSpEu/w/TNnzmBmZsaQIUMSzfPo0aM0a9aMrFmzYmVlRebMmWnYsCHbt2+Pc2xQUBATJkzQrKlla2tL0aJFGTZsmGadHYDOnTujUqkoXrx4vGVTqVT06dMHUNbMUqlUHDx4MN7yffvttzg7O2ulbyonT57U3O/4guMnT57QqlUrMmTIgJOTE40bN+bevXs6pa1Wq1m4cCElS5bEwcGBLFmyUK9ePU6dOqV1XHBwMOPGjaNu3bq4uLigUqni/T2ED/f101fBggW1jnv69CkdOnSgQIECODo6kiFDBsqXL8+qVaviPA99npW+vLy84i2vSqUiX758muPCwsLo2rUrRYsWxdnZGQcHB0qUKMHs2bM1Kz0n5c6dO7Ro0YKMGTNiZ2dH1apV+eeff+Icp+s9BOUZ/vLLL+TKlQsbGxuKFy/Ohg0bDErz7NmzqFQqfv/99zjnN27cGJVKxYoVK+Lsq169OtmzZ9fpHkhJk/PQSFpsbGxYv349VatW1dp+7NgxHj9+jLW1dSqVzDjz588nU6ZMdO7cWWv79evXmTBhAjVr1sTLyyvFyjNx4kSaNWuGSqWKd3+GDBmYNWsWbdq0YcmSJfTo0UOzLzo6mh9++AFPT08mTJiQYB7jxo1j4sSJ5MuXj549e+Lp6cmbN2/Yt28fzZs3Z926dbRr1w6Ae/fu4e3tjb+/Py1btqRHjx5YWVlx5coVli1bxo4dO7h165ZW+v/99x/bt2+nefPmCZbhp59+Yv369fTq1YurV69ia2ur2bdlyxb279/PvHnzNAvjmYparaZv377Y29sTEhISZ39wcDC1atUiMDCQkSNHYmlpye+//06NGjW4dOkSrq6uiaY/ZMgQZs6cSYcOHejVqxcBAQEsWrSIGjVq4OPjQ/ny5QF4/fo1EydOxMPDgxIlSiS5UKW1tTVLly7V2vbpgrSvX7/m8ePHtGjRAg8PD6Kiojh06BCdO3fGz8+PKVOmxElXl2elr1mzZhEcHKy17eHDh4wePZpvvvlGsy0sLIxr167x7bff4uXlhZmZGadOnWLgwIH4+vqyfv36RPN59OgRlSpVwtzcnCFDhmBvb8+KFSv45ptvOHLkCNWrV9c6Xpd7CMoCvtOmTaN79+6UK1eOXbt20a5dO1QqFW3atNErzdKlS2NnZ8fJkycZOHCg1nGnTp3CwsICHx8funTpotkeGRnJuXPnaNiwYaLXL+khtRaRktKW2EX4mjVrJjJlyhRnsbLu3buLMmXKCE9PT1G/fv1kLUtSi2gaokiRIqJGjRpxtm/ZskUA4p9//jFZXgm5f/++AETJkiUFILZt26a1P77rrlevnsiYMaN4/vy5ZtuMGTMEIPbt25dgXrHX1aJFCxEZGRln/4EDB8SePXuEEEJERUWJEiVKCDs7O3HixIk4xwYGBoqRI0dq3nfq1EnY2tqK/Pnzi+LFi8dZNBUQvXv31rw/ffq0MDMzEyNGjNBsCwoKEu7u7qJixYoiJiYmwesw1IIFC4Srq6vo379/vL9L06dPF4A4e/asZtuNGzeEubm5VjnjExUVJWxtbUWLFi20tt+7d08Aol+/fppt4eHh4tmzZ0IIIc6dOycAsWLFinjTTWjxT101aNBA2Nvbay0QqO+zMtbPP/8sAOHj45PksX369BGA5v4kpFevXsLCwkLcvHlTsy0kJETkzJlTlC5dWutYXe/h48ePhaWlpda1q9VqUa1aNZEjR44491CXNGvVqiWyZMmite3mzZsCEO3atRMFChTQ2nfq1CkBiNmzZyeZtqQb2eQkaWnbti1v3rzh0KFDmm2RkZFs3bpV823+UzNmzKBy5cq4urpia2tLmTJl2Lp1a5zjYqu3d+7cSdGiRbG2tqZIkSIcOHAg3nQDAgLo3LkzGTJkwNnZmS5duhAaGqp1zIoVK6hduzaZM2fG2tqawoULs2DBAq1jvLy8uHbtGseOHdNUF9esWZOVK1fSsmVLAGrVqqXZF/steteuXdSvXx93d3esra3JkycPP//8MzExMVrp16xZk6JFi3L9+nVq1aqFnZ0d2bNn55dffon3utq0aUP+/PmZOHFikrNBz58/n4iICAYNGgQo31bHjx9P69atqVevXoLnjRkzBhcXF5YvX46lpWWc/XXq1NE0HW7bto3Lly8zatSoODVzAE5OTkyePFlrm5mZGaNHj+bKlSvs2LEj0WuoWLEiP/zwAzNmzOD69esAjB49mpcvX7J48WLMzEz7Z+jt27eMHj2aiRMnkiFDhniP2bp1K+XKlaNcuXKabQULFuSrr75i8+bNiaYfFRVFWFgYWbJk0dqeOXNmzMzMtGqhrK2tyZo1q17lj4mJISgoSK9zQPk9Dw0NJTIyUmu7Ps/KWOvXrydXrlxUrlw5yWNja0QDAgISPe7EiROUKlWKAgUKaLbZ2dnRqFEjLly4wO3bt+Ock9Q93LVrF1FRUfTq1UuzTaVS8eOPP/L48WNOnz6td5pVq1blxYsX3LlzR7PNx8cHJycnevTogZ+fn1bTp4+Pj+Y8yTRkQCNp8fLyolKlSlptyfv37ycwMDBONWys2bNnU6pUKSZOnMiUKVOwsLCgZcuW7N27N86xJ0+epFevXrRp04ZffvmF8PBwmjdvzps3b+Ic26pVK96/f8/UqVNp1aoVK1eujNPEsmDBAjw9PRk5ciS//fYbOXPmpFevXsybN09zzKxZs8iRIwcFCxZkzZo1rFmzhlGjRlG9enX69esHwMiRIzX7ChUqBCj9ihwcHBg0aBCzZ8+mTJkyjB07luHDh8cp67t376hbty4lSpTgt99+o2DBggwbNoz9+/fHOdbc3JzRo0dz+fLlJD9gvLy8mDBhAuvXr+fQoUP069cPCwsLZs2aleA5t2/f5ubNmzRp0gRHR8dE0wfYvXs3AN99912Sx36sXbt25MuXT6fAbOrUqbi5udGzZ0/Onz/PvHnzGDx4cLIs3jhmzBiyZs1Kz549492vVqu5cuUKZcuWjbOvfPny3L17l/fv3yeYvq2tLRUqVGDlypWsW7cOf39/rly5QufOncmYMaNW86C+QkNDcXJywtnZGRcXF3r37h2nWSdWWFgYr1+/5sGDB6xatYoVK1ZQqVIlrYAqlj7PylAXL17kxo0bCX7xiYyM5PXr1zx69IgdO3YwY8YMPD09yZs3b6LpRkRExHtNdnZ2AJw/f15ruy738OLFi9jb22v+r8eKbSq8ePGi3mnGBiYf90H08fGhYsWKVKhQAUtLS60+Vj4+Pjg6OlKiRIlEr1/SQyrXEElpRGyT07lz58TcuXOFo6OjCA0NFUII0bJlS1GrVi0hhIi3ySn2uFiRkZGiaNGionbt2lrbAWFlZSXu3Lmj2Xb58mUBiDlz5mi2xTa9fP/991rnN23aVLi6uiaatxBC1KlTR+TOnVtrmyFNTvGl3bNnT2FnZyfCw8M122rUqCEAsXr1as22iIgIkTVrVtG8eXPNttgmp19//VVER0eLfPnyiRIlSmiaARJqaouKihIlS5YULi4uAhCLFi2KU66P7dq1SwDi999/T/S4WKVKlRLOzs46HSuEdhX8qlWrBCC2b9+u2U8CzRhbt24VgHBxcRG5c+eO9/4a6/Lly8Lc3FwcPHhQCBH/PX316pUAxMSJE+OcP2/ePAFoNW/E5/bt26J06dIC0Lxy586d6HlJNTkNHz5cDBs2TGzatEls2LBBdOrUSQCiSpUqcZqAhRBi6tSpWvl/9dVXwt/fX+sYQ5+VIX766ScBiOvXr8e7f8OGDVrlLVu2rLhy5UqS6TZs2FBkyJBBBAUFaW2vVKmSAMSMGTM023S9h/Xr14/zN0IIpSkLEMOHD9c7zaCgIGFubi66du2q2VagQAExYcIEIYQQ5cuXF0OGDNHsc3NzE19//XWS1y/pTtbQSHG0atWKsLAw/vzzT96/f8+ff/6Z4LcuQOvb07t37wgMDKRatWpcuHAhzrHe3t7kyZNH87548eI4OTnFO7rkhx9+0HpfrVo13rx5o1Xt+3HegYGBvH79mho1anDv3j0CAwN1u2Adruv9+/e8fv2aatWqERoays2bN7WOdXBwoEOHDpr3VlZWlC9fPsFRMx/X0uzcuTPRclhYWLB48WLevn1LxYoV6d69e6LHx94fXWpnYo/X9dhPtW/fXudv/s2bN+fbb7/l7du3zJs3L95v3cbq168f9erV0+qU+qmwsDCAeDu429jYaB2TEEdHR4oUKULv3r3Zvn078+fPJzo6miZNmhg83cDUqVOZNm0arVq1ok2bNqxcuZLJkyfj4+MTbxNu27ZtOXToEOvXr9f8/0ys3Po8K32p1Wo2btxIqVKl4tR6xKpVqxaHDh1iy5Yt/PDDD1haWsbbYftTP/74IwEBAbRu3ZqLFy9y69YtBgwYwL///gtoX7Ou9zAsLEzn569rmo6OjhQvXlxTQ/P69Wv8/Pw0zW9VqlTRNDPdunWLV69eyeYmE5MBjRSHm5sb3t7erF+/nu3btxMTE0OLFi0SPP7PP/+kYsWK2NjY4OLigpubGwsWLIg3oPDw8IizLWPGjLx79y7JYzNmzAigdayPjw/e3t7Y29uTIUMG3NzcGDlyJIDRAc21a9do2rQpzs7OODk54ebmpglaPk07R44ccUYsJXRdsdq3b0/evHl1+oCJ7etRpkwZTT5hYWE8f/5c6wVKnxcg0WaTjzk5Oel87KdiA7NLly4lGZjBh+uIr7nHWJs2beLUqVP89ttviR4XG0hFRETE2RceHq51THyio6Px9vbG2dmZuXPn0rRpU3788UcOHz7M3bt3+fXXX424Cm0DBw7EzMyMw4cPx9nn6emJt7c3bdu2Zd26deTOnRtvb+8Egxp9n5U+jh07xpMnT2jfvn2Cx2TJkgVvb29atGjBggULaNCgAV9//bXm9zYh9erVY86cORw/fpzSpUtToEAB9u7dq+nX5eDgkOj58d1DW1tbg59/QmmC0uwU21fm1KlTmJubU7FiRQAqV67M+fPniYiIkP1nkokMaKR4tWvXjv3797Nw4ULq1auXYOfKEydO0KhRI2xsbJg/fz779u3j0KFDtGvXLt4PaXNz83jTMeTYu3fv8tVXX/H69WtmzpzJ3r17OXTokGbYpFqt1uVS4xUQEECNGjW4fPkyEydOZM+ePRw6dIjp06fHm7Y+1/XxObEfMLt27dK7jJs2bSJbtmxaL0AzP8Z///2nUzoFCxYkMDCQR48e6V0G0C8wS05DhgyhZcuWWFlZ8eDBAx48eKDpcPro0SPNXDcuLi5YW1vz7NmzOGnEbktsGPnx48e5evUqjRo10tqeL18+ChUqpPmwMgVbW1tcXV15+/Ztkse2aNGCR48ecfz48QSPSa5ntW7dOszMzGjbtq3O57Ro0YLg4GCdfvf79OnDixcvOHXqFP/++y83b97UDJvOnz9/oufGdw+zZcvG8+fP49wDXZ5/QmnChwDFx8cHHx8fihUrpgm4KleuTEREBOfOnePkyZNYWFhogh3JNOQ8NFK8mjZtSs+ePTlz5gybNm1K8Lht27ZhY2PDwYMHtapw45tEytT27NlDREQEu3fv1qrNiW/CrYTme0lo+9GjR3nz5g3bt2/Xmufi/v37RpZaW4cOHZg0aRITJkyI8wGZlDp16miNRouVP39+ChQowK5du5g9e3aS32AbNmzIhg0bWLt2LSNGjNCrDPAhMOvcubNBgZmpPHr0iPXr18c7r0np0qUpUaIEly5dwszMjGLFimmaLD7m6+tL7ty5E22Ce/HiBUCc0W6gjICKjo424iq0xTZ1urm5JXlsbM1MYjWTyfGsIiIi2LZtGzVr1tRrPiFdyvsxe3t7KlWqpHl/+PBhbG1tqVKlSqLnxXcPS5YsydKlS7lx4waFCxfWbPf19dXs1zdN0O4YfPr0aa2yubu74+npqQl2SpUqpenYLJmGrKGR4uXg4MCCBQsYP358ohM/mZubo1KptP64P3jwwORV2gnlDdq1IIGBgfEGU/b29vEOD7W3twfiDh2NL+3IyEjmz59vbLHj5BNbSxM72khX2bJlw9vbW+sVa8KECbx584Zu3brF+wH7119/8eeffwLKN+VixYoxefLkeIervn//nlGjRiValg4dOpA3b95EJ/pLbjt27Ijzat26NQCrV6/WmsW1RYsWnDt3Tiuo8fPz4++//9YM5Y918+ZN/P39Ne9jawQ2btyoddyFCxfw8/OjVKlSepc9PDw83ma/n3/+GSEEdevW1Wx79epVvGksW7YMlUpF6dKlE83L1M9q3759BAQEJNjc9Pr163hrg2Inqvu4+TEwMJCbN28mGeScOnWK7du307VrV01NjT73sHHjxlhaWmr9fxZCsHDhQrJnz67p96JPmqAELbly5eLIkSP8+++/cYavV65cmZ07d+Ln5yebm5KBrKGREtSpU6ckj6lfvz4zZ86kbt26tGvXjpcvXzJv3jzy5s3LlStXkrV833zzDVZWVjRs2JCePXsSHBzMkiVLyJw5c5zmhDJlyrBgwQImTZpE3rx5yZw5M7Vr16ZkyZKYm5szffp0AgMDsba2pnbt2lSuXJmMGTPSqVMn+vXrh0qlYs2aNcnSpNK+fXt+/vlnLl26ZLI0W7duzX///cfkyZO5ePEibdu21cwUfODAAY4cOaKpybC0tGT79u14e3tTvXp1WrVqRZUqVbC0tOTatWusX7+ejBkzxpmL5mPm5uaMGjVKayZUQ3Tu3JlVq1Zx//59vWdubtKkSZxtsfe0Xr16ZMqUSbO9V69eLFmyhPr16zN48GAsLS2ZOXMmWbJk4aefftJKo1ChQtSoUUMzP1GZMmX4+uuvWbVqFUFBQXzzzTc8e/aMOXPmYGtry4ABA7TOnzt3LgEBAZomrz179vD48WMA+vbti7OzM8+fP6dUqVK0bdtW02R48OBB9u3bR926dWncuLEmvdgOqXXr1sXDw4O3b9+ybds2zp07R9++fZMcBm2qZxVr3bp1WFtbJzgL8dq1a1m4cCFNmjQhd+7cvH//noMHD3Lo0CEaNmxI7dq1Ncfu2LGDLl26sGLFCs2s3g8fPqRVq1Y0atSIrFmzcu3aNRYuXEjx4sW1ZkXW5x7myJGDAQMG8OuvvxIVFUW5cuXYuXMnJ06cYN26dZovNPqkGatq1aqsWbMGIE7tUeXKlTVTYsiAJhmk9LAqKW36eNh2YuIbtr1s2TKRL18+YW1tLQoWLChWrFihGS77MRIYIurp6Sk6deqkeZ/Q8OXYMt6/f1+zbffu3aJ48eLCxsZGeHl5ienTp4vly5fHOe758+eifv36wtHRUQBaQ7iXLFkicufOLczNzbWGcPv4+IiKFSsKW1tb4e7uLoYOHSoOHjwYZ5h3jRo1RJEiReJcV6dOnYSnp6fm/cfDtj8Ve23xXXdS9y8xR44cEY0bNxaZM2cWFhYWws3NTTRs2FDs2rUrzrHv3r0TY8eOFcWKFRN2dnbCxsZGFC1aVIwYMUJrNteEZk6NiooSefLkSbScSc0C3bx5c2FrayvevXun13UmJLH8Hj16JFq0aCGcnJyEg4ODaNCggbh9+3ac4z79fRFCGdI/ceJEUbhwYWFrayucnZ1FgwYNxMWLF+Oc7+npqTVc+eNX7O/ou3fvRIcOHUTevHmFnZ2dsLa2FkWKFBFTpkyJM9PzX3/9JRo0aCDc3d2FpaWlcHR0FFWqVBErVqyIMxOwMc9KF4GBgcLGxkY0a9YswWPOnTsnWrZsKTw8PIS1tbWwt7cXpUuXFjNnzowzHD32/8HHQ9vfvn0rGjduLLJmzSqsrKxErly5xLBhw+IM49bnHgohRExMjJgyZYrw9PQUVlZWokiRImLt2rVGpSmEEIsWLRKAyJ49e5x9Fy5c0Dz7Fy9eJHjPJMOohEjFXnySJEkfyZIlCx07djTpSCFJkr4MMqCRJClNuHbtGpUqVeLevXtazUOSJEm6kAGNJEmSJEnpnhzlJEmSJElSuicDGkmSJEmS0j0Z0EiSJEmSlO7JgEaSJEmSpHRPBjSSJEmSJKV7MqCRJEmSJCnd++ICmuPHj9OwYUPc3d1RqVR6rzkUHh5O586dKVasGBYWFvFOtw7Kgm2jRo3C09MTa2trvLy8WL58ufEXIEmSJElSHF/cWk4hISGUKFGC77//nmbNmul9fkxMDLa2tvTr149t27YleFyrVq148eIFy5YtI2/evDx79gy1Wm1M0SVJkiRJSsAXF9DUq1ePevXqJbg/tmZlw4YNBAQEULRoUaZPn07NmjUBZXXmBQsWAODj4xPvCs4HDhzg2LFj3Lt3DxcXFwC9F9qTJEmSJEl3X1yTU1L69OnD6dOn2bhxI1euXKFly5bUrVuX27dv65zG7t27KVu2LL/88gvZs2cnf/78DB48mLCwsGQsuSRJkiR9ub64GprE+Pv7s2LFCvz9/XF3dwdg8ODBHDhwgBUrVmgtVZ+Ye/fucfLkSWxsbNixYwevX7+mV69evHnzhhUrViTnJUiSJEnSF0kGNB/577//iImJIX/+/FrbIyIicHV11TkdtVqNSqVi3bp1ODs7AzBz5kxatGjB/PnzsbW1NWm5JUmSJOlLJwOajwQHB2Nubs758+cxNzfX2ufg4KBzOtmyZSN79uyaYAagUKFCCCF4/Pgx+fLlM1mZJUmSJEmSAY2WUqVKERMTw8uXL6lWrZrB6VSpUoUtW7YQHBysCYRu3bqFmZkZOXLkMFVxJUmSJEn6vy+uU3BwcDCXLl3i0qVLANy/f59Lly7h7+9P/vz5ad++PR07dmT79u3cv3+fs2fPMnXqVPbu3atJ4/r161y6dIm3b98SGBiolR5Au3btcHV1pUuXLly/fp3jx48zZMgQvv/+e9ncJEmSJEnJQCWEEKldiJR09OhRatWqFWd7p06dWLlyJVFRUUyaNInVq1fz5MkTMmXKRMWKFZkwYQLFihUDlCHYDx8+jJPGx7fy5s2b9O3bFx8fH1xdXWnVqhWTJk2SAY0kSZIkJYMvLqCRJEmSJOnz88U1OUmSJEmS9PmRAY0kSZIkSeneFzHKSa1W8/TpUxwdHVGpVKldHEmSJEmSdCCE4P3797i7u2NmlngdzBcR0Dx9+pScOXOmdjEkSZIkSTLAo0ePkpz25IsIaBwdHQHlhjg5OaVyaSRJkiQpnXrwAPr1gz/+gGRYdDlGHcOSC0toV6wdTtZOBAUFkTNnTs3neGK+iIAmtpnJyclJBjSSJEmSpKuQEDh0CJo0Ud4XLw5HjyZLVi+CX9BhVwcO3zvMhbcX2NB8g2afLt1FZKfgNObmzZtUrFgRGxsbSpYsmWz5rFy5kgwZMiRb+pIkSVI6FxwMlStDs2awb1+yZvX3/b8psbAEh+8dxs7Sjrp56+rd51UGNAZ69eoVVlZWhISEEBUVhb29Pf7+/kanO27cOOzt7fHz8+PIkSMmKGn8Wrduza1bt/Q6p2bNmgwYMMDkZZk8eTKVK1fGzs4u3iBr5cqVqFSqeF8vX74E4NmzZ7Rr1478+fNjZmaWLOWUJEn6ojg4KAGNmxvo0ORjiBh1DOP+GYf3am9ehLygiFsRznU/R+eSnfVOSwY0Bjp9+jQlSpTA3t6eCxcu4OLigoeHh9Hp3r17l6pVq+Lp6anXCt/6srW1JXPmzMmWvj4iIyNp2bIlP/74Y7z7W7duzbNnz7RederUoUaNGppriIiIwM3NjdGjR1OiRImULL4kSdLnQ61WamZizZ4NFy+CEesbJuR58HO813gz8fhEBIJupbpxtvtZCrsVNig9GdAY6NSpU1SpUgWAkydPan5OjFqtZuLEieTIkQNra2tKlizJgQMHNPtVKhXnz59n4sSJqFQqxo8fH286NWvWpE+fPvTp0wdnZ2cyZcrEmDFjtJZeePfuHR07diRjxozY2dlRr149bt++rdn/aZPT+PHjKVmyJGvWrMHLywtnZ2fatGnD+/fvAejcuTPHjh1j9uzZmtqRBw8e8O7dO9q3b4+bmxu2trbky5ePFStW6HMrmTBhAgMHDtQsLfEpW1tbsmbNqnmZm5vz999/07VrV80xXl5ezJ49m44dO2qtci5JkiTpKDBQaV5q0gSio5VtVlbg7p4s2ZmpzPB77YeDlQPrmq1jSaMl2FnaGZzeF9Ep2FT8/f0pXrw4AKGhoZibm7Ny5UrCwsJQqVRkyJCBdu3aMX/+/HjPnz17Nr/99huLFi2iVKlSLF++nEaNGnHt2jXy5cvHs2fP8Pb2pm7dugwePFizUnd8Vq1aRdeuXTl79iz//vsvPXr0wMPDg+7duwNKAHL79m12796Nk5MTw4YN49tvv+X69etYWlrGm+bdu3fZuXMnf/75J+/evaNVq1ZMmzaNyZMnM3v2bG7dukXRokWZOHEiAG5ubvTv35/r16+zf/9+MmXKxJ07dwgLC9OkWbNmTby8vFi5cqUhtzxeq1evxs7OjhYtWpgsTUmSpC/ajRtKIHPrlhLEnD8PFSqYPBu1UGOmUupSMttnZnvr7bjYupDfNb/RacuARg/u7u5cunSJoKAgypYti6+vL/b29pQsWZK9e/fi4eGRaBAyY8YMhg0bRps2bQCYPn06//zzD7NmzWLevHlkzZoVCwsLHBwcyJo1a6JlyZkzJ7///jsqlYoCBQrw33//8fvvv9O9e3dNIOPj40PlypUBWLduHTlz5mTnzp20bNky3jTVajUrV67UDI/77rvvOHLkCJMnT8bZ2RkrKyvs7Oy0yubv70+pUqUoW7YsoNSUfMzDw4Ns2bIlfmP1tGzZMtq1aycX+pQkSTKF7duhUyelqSlHDuV9uXImz+ZR4CPabmvLj2V/pH3x9gBUzFHRZOnLJic9WFhY4OXlxc2bNylXrhzFixfn+fPnZMmSherVq+Pl5UWmTJniPTcoKIinT5/GaZqqUqUKN27c0LssFStW1OoBXqlSJW7fvk1MTAw3btzAwsKCCh9F166urhQoUCDRvLy8vLTG+mfLlk3T6TYhP/74Ixs3bqRkyZIMHTqUU6dOae1fvXo1U6dO1ffyEnT69Glu3Lih1dwkSZIkGSAmBkaOhObNlWCmZk2lZiYZgpm9t/ZSclFJfB75MPTwUMKjw02eh6yh0UORIkV4+PAhUVFRqNVqHBwciI6OJjo6GgcHBzw9Pbl27VpqF9NgnzZFqVQq1Gp1oufUq1ePhw8fsm/fPg4dOsRXX31F7969mTFjRrKUcenSpZQsWZIyZcokS/qSJElfhDdvoF07+Osv5f2gQTB9OliYNiyIioli5JGRzDitfCaUyVaGTS02YWNhY9J8QNbQ6GXfvn1cunSJrFmzsnbtWi5dukTRokWZNWsWly5dYl8i4/SdnJxwd3fHx8dHa7uPjw+FC+vfo9vX11fr/ZkzZ8iXLx/m5uYUKlSI6OhorWPevHmDn5+fQXnFsrKyIiYmJs52Nzc3OnXqxNq1a5k1axaLFy82OI/EBAcHs3nzZlk7I0mSZIxLl6BsWSWYsbWF9evht99MHsw8DHhItRXVNMFM3/J98fnehzwueUyaTyxZQ6MHT09Pnj9/zosXL2jcuDEqlYpr167RvHlznfqJDBkyhHHjxpEnTx5KlizJihUruHTpEuvWrdO7LP7+/gwaNIiePXty4cIF5syZw2+//QZAvnz5aNy4Md27d2fRokU4OjoyfPhwsmfPTuPGjfXOK5aXlxe+vr48ePAABwcHXFxcGD9+PGXKlKFIkSJERETw559/UqhQIc05HTt2JHv27Ik2O/n7+/P27Vv8/f2JiYnh0qVLAOTNm1erT9KmTZuIjo6mQ4cO8aYTe15wcDCvXr3i0qVLWFlZGRXESZIkfVbWroUePSAsDHLnhh07lNl/TexN6BtKLy7N27C3ZLDJwPJGy2laqKnJ8/mYDGj0dPToUcqVK4eNjQ0nTpwgR44cOnd67devH4GBgfz000+8fPmSwoULs3v3bvLly6d3OTp27EhYWBjly5fH3Nyc/v3706NHD83+FStW0L9/fxo0aEBkZCTVq1dn3759CY5w0sXgwYPp1KkThQsXJiwsjPv372NlZcWIESN48OABtra2VKtWjY0bN2rO8ff3T3KF1LFjx7Jq1SrN+1KlSgHwzz//ULNmTc32ZcuW0axZswRnOI49D+D8+fOsX78eT09PHjx4oP/FSlIyePwYbt+GfPmUvpeSlGKiomDwYGUNJoB69WDdOsiYMVmyc7VzpVupbhx9eJRNLTbhlcErWfL5mEp8PHnJZyooKAhnZ2cCAwM/i7WcatasScmSJZk1a1ZqF0WSUl1ISGqXQDerVkHfvsq8ZWZmMGeOMrAkrbO3T+0SSCYREABlysC9ezB6NIwfD+bmJs3i3rt7mKvM8czgCSj9ZwQCK3Mrg9PU5/Nb1tBIkpSuJTJTQpqlVkPv3sorrfv8v/J+ITJkUJqX7t37sNCkCW29vpWuu7tSMFNBTnQ5gZW5FZbmhrcIGEIGNJIkSZL0OVqyRPn3/xOuUry4yfvLhEeH89PBn5j/rzKhrKWZJUERQWSyi38Kk+QkA5p06GgyLd0uSenRx8vOpFVPnkChQkrNTCxzc7h+HbJnT71ySZ+xAweUzr+WllClCiTD4Ijbb27TamsrLj2/BMDwKsOZWGtiitfMxJIBjSRJ6Vp66OORPz8sXgw9eypzmZmbw6JFynZJShZ16kDr1lCypBJNm9iG/zbQ488eBEcGk8kuE2uarqFu3romz0cfslOwJElSCnn8GO7cgbx55SgnKRmcOqU0KcV2LBMCPppR3lSi1dGUX1Kei88vUt2zOuubrSe7U/JUNerz+S0n1pMkSUohOXIos8vLYEYyKSFg1iyoXh26dv3QkzsZghkACzMLNrXYxPga4znS8UiyBTP6kgGNJEmSJKVXoaHQoQMMHKi0Z1paKnPOmNiay2uYdnKa5n0+13yMqzkOC7O003Ml7ZTkMyDnh5EkSZJSzL170LQpXLmidMyaOVOZ7MiENTMhkSH02d+HlZdWokJF7Vy1KZ+9vMnSNyVZQ/MFmzdvHl5eXtjY2FChQgXOnj2b4LFeXl6oVKo4r94fTaSR1DG6pJFS9Ll2Xc8xxT2SJEnSyYEDynpMV65A5szw99/Qr59Jg5lrL69Rfml5Vl5aiZnKjAk1J1AmW9pdGFgGNF+oTZs2MWjQIMaNG8eFCxcoUaIEderU4eXLl/Eef+7cOZ49e6Z5HTp0CICWLVvqfIwuaSSlZs2arFy50pBL1tD32nU9xxT3SJIkKVFCwJQp8O238O4dVKgA588r/WdMloVg+cXllFtSjuuvrpPNIRtHOh5hTI0xmJuZdnZhkxJfgMDAQAGIwMBAo9PasmWLKFq0qLCxsREuLi7iq6++EsHBwUIIIWrUqCH69++vOTY8PFz07dtXuLm5CWtra1GlShVx9uxZzf4aNWqI3r17i969ewsnJyfh6uoqRo8eLdRqteaYmJgYMWXKFOHl5SVsbGxE8eLFxZYtW4y+jvLly4vevXtr5ePu7i6mTp2q0/n9+/cXefLk0SqrvsfoksanatSoIVasWKHz8fEx5NoNOccU90iSJEkjMFCIpk2FUMIaIXr0ECI83OTZ9NjdQzAewXjEN2u+ES+CX5g8D13p8/kta2j08OzZM9q2bcv333/PjRs3OHr0KM2aNUMkMPJ96NChbNu2jVWrVnHhwgXy5s1LnTp1ePv2reaYVatWYWFhwdmzZ5k9ezYzZ85k6dKlmv1Tp05l9erVLFy4kGvXrjFw4EA6dOjAsWPHAFi5ciUqPasYIyMjOX/+PN7e3pptZmZmeHt7c/r0aZ3OX7t2Ld9//32CeSd1jC5pJAdDrt3Qc4y9R5IkSRo3byq1MTt2gJWVMgvwokVgbW3yrMpnL4+5ypwptaewv/1+MttnNnkeySL546vUZ6oamvPnzwtAPHjwIN79H9fQBAcHC0tLS7Fu3TrN/sjISOHu7i5++eUXzfGFChXS+nY+bNgwUahQISGEUsNjZ2cnTp06pZVP165dRdu2bYUQQmzfvl0UKFBAr+t48uSJAOKkO2TIEFG+fPkkz9+0aZMwNzcXT548MfgYXdIQQojJkycLe3t7zcvMzExYW1trbXv48GGSZY5lyLUbco4p7pEkSZIQQogjR4RwdFRqZbJnF+LMGZMmr1arxfP3z7Xe33h1w6R5GEqfz285ykkPJUqU4KuvvqJYsWLUqVOHb775hhYtWpAxnuXX7969S1RUFFWqVNFss7S0pHz58ty4cUOzrWLFilrfzitVqsRvv/1GTEwMd+7cITQ0lK+//lor7cjISEqVKgVA06ZNadq0qakvNVHLli2jXr16uLu7G3yMLmkA/PDDD7Rq1Urzvn379jRv3pxmzZpptiWVRmowxT2SJEkCoEABsLOD0qVh0ybIksVkSQdFBNFjTw9OPz7NxZ4XcbF1QaVSUTBTQZPlkVJkQKMHc3NzDh06xKlTp/jrr7+YM2cOo0aNwtfXl1y5cpk8v+D/L1Kzd+9esn+y4Iu1EdWMmTJlwtzcnBcvXmhtf/HiBVmzZk303IcPH3L48GG2b99u8DG6pBHLxcUFFxcXzXtbW1syZ85M3rx5kzw3PoZcu77nmOIeSZL0hQsPBxsb5efs2eH4cciVS5lnxkQuPLtAqy2tuPvuLhZmFpx4eILGBRubLP2UJvvQ6EmlUlGlShUmTJjAxYsXsbKyYseOHXGOy5MnD1ZWVvj4+Gi2RUVFce7cOQp/tEiYr6+v1nlnzpwhX758mJubU7hwYaytrfH39ydv3rxar5w5cxp8DVZWVpQpU4YjR45otqnVao4cOUKlSpUSPXfFihVkzpyZ+vXrG3yMLmkkF0OuXd9zTHGPJEn6gl2+DEWKwLZtH7blz2+yYEYIwdyzc6m0rBJ3393F09mTE13SdzADyD40+jhz5oyYPHmyOHfunHj48KHYvHmzsLKyEvv27RNCxB3l1L9/f+Hu7i72798vrl27Jjp16iQyZswo3r59qznewcFBDBw4UNy8eVOsX79e2Nvbi4ULF2rSGDVqlHB1dRUrV64Ud+7cEefPnxd//PGHWLlypRDCsD40QgixceNGYW1tLVauXCmuX78uevToITJkyCCeP//QjjpnzhxRu3ZtzfuYmBjh4eEhhg0blmC6SR2jSxofe//+vXj27Fmir+joaB2vWmHItetyjq7Xp+89kCTpCzN8uNJfpnhxIfT8+5aUd2HvRLNNzTSjmBpvaCzehr41aR6mpM/ntwxo9HD9+nVRp04dzTDs/Pnzizlz5mj2fxrQhIWFib59+4pMmTIlOGy7V69e4ocffhBOTk4iY8aMYuTIkVqdhNVqtZg1a5YoUKCAsLS0FG5ubqJOnTri2LFjQgghVqxYIQyNS+fMmSM8PDyElZWVKF++vDjzSUezcePGCU9PT837gwcPCkD4+fklmGZSx+iSxqdlABJ93b9/X6e0Pqbvtetyjq7Xp+89kCTpCxMVJcSoUUK8eWPypH/880fBeITlREsx6/SsND9lhD6f33K17VQkl0qQJEmSePkSpk1TXlZWyZrVu7B3NN/cnOne0ymXvVyy5mUK+nx+y07BkiRJkpRazp6F5s3h8WPl/cyZJk3+bdhbVl9eTf8K/VGpVGS0zcjfnf42aR5phQxoJEmSJCk1LF0KvXtDZKQyNLtHD5Mmf+rRKdpsbcOjoEfYW9rTvUx3k6af1siAJhUdPXo0tYsgSZIkpbSICGUhycWLlfdNmsCqVWCiLhFqoWbGqRmMPDKSGBFDPpd86aJ5yVgyoJEkSZKklPL4MbRoAb6+ysrYkybB8OFgZppZVF6FvKLTzk7sv7MfgLZF27KowSIcrR1Nkn5aJgMaSZIkSUoJx49Dy5ZKJ+CMGWH9eqhb12TJ+/j70GprK56+f4qNhQ1z6s2ha6muX8xacTKgkSRJkqTkJATMmQM//QTR0VC8uLLIZO7cJs0mSh3F8+DnFMxUkM0tNlMsSzGTpp/WyYBGkiRJkpJLaCj07Alr1yrv27VT+s7Y25sk+Rh1DOZm5gDU9KrJ9lbb+Sr3VzhYOZgk/fRELn0gSZIkScmla1clmDE3h99/V342UTDz9/2/KTSvELfe3NJsa1yw8RcZzIAMaPRWs2ZNBgwYkNrFkCRJktKD8eMhb144fBgGDFA6AhspRh3DuH/G4b3am9tvbzP+6Hij0/wcyIBGT9u3b+fnn3/W+fj0GAAlV5mnTZuGSqVKMu3jx4/TsGFD3N3dUalU7Ny5M97jnjx5QocOHXB1dcXW1pZixYrx77//mrzc+pRr/PjxqFQqrVfBggWTrUzxef/+PQMGDMDT0xNbW1sqV67MuXPnkjwvqeszNF1j6Pq7EEvX3zFJSjZCKJPlxSpQAG7cgJo1TZL80/dP8V7jzcTjExEIupXqxtJGS02SdnqXLgKatPAhEcvFxQVHx5Qf/hYZGZnieZrSuXPnWLRoEcWLF0/y2JCQEEqUKMG8efMSPObdu3dUqVIFS0tL9u/fz/Xr1/ntt9/ImDGjwWWsWbMmK1euNKpcAEWKFOHZs2ea18mTJ01ajqR069aNQ4cOsWbNGv777z+++eYbvL29efLkSaLnJXV9hqablMSuV9d7Dvr9jklSsoiMVIZkV64M//zzYbuFabqr/nX3L0ouLMnRB0dxsHJgXbN1LGm0BDtLO5Okn+4l+8pSJjBu3DhRpEgRrRWWX716pfP5plqcUgjtBShr1Kgh+vbtK4YMGSIyZswosmTJIsaNG6c5tlOnTgkupBgTEyOmTJkivLy8hI2NjShevLjYsmWLVj69e/cW/fv3F66urqJmzZqa86ZPny7y5MkjrKysRM6cOcWkSZN0SvPjdHv37i2cnJyEq6urGD16tGaBssTKbKj379+LfPnyiUOHDsVZwDMpgNixY0ec7cOGDRNVq1ZN9Fxd7sfHatSoIVasWGFUucaNGydKlCihUxqmKMenQkNDhbm5ufjzzz+1tpcuXVqMGjVK53Q+vT5d09X3nguh+/UmdM+FMO53TJJMRq0WomNHISwthVi1yqRJH7h9QKjGqwTjESUWlBB+r7+MxW31+fxOFzU0ABYWFmTNmlXzypQpU2oXCYBVq1Zhb2+Pr68vv/zyCxMnTuTQoUMAzJ49m0qVKtG9e3fNt/WcOXMCMHXqVFavXs3ChQu5du0aAwcOpEOHDhw7dkwrbSsrK3x8fFi4cCEAI0aMYNq0aYwZM4br16+zfv16smTJonOaselaWFhw9uxZZs+ezcyZM1m6dGmiZV65cqXBcxn07t2b+vXr4+3tbdD58dm9ezdly5alZcuWZM6cmVKlSrFkyRKtY3S9H6Z2+/Zt3N3dyZ07N+3bt8ff3z9Z8/tYdHQ0MTEx2NjYaG23tbXVu6bIkHRT654nx++YJOksJkb5V6WChQvh9Gno2NGkWdTOVZuKOSryQ5kfONPtDPld85s0/c9CCgRYRhs3bpyws7MT2bJlE7ly5RLt2rUTDx8+TPD48PBwERgYqHk9evQo2WpoPq0lKFeunBg2bFi8x39cPjs7O3Hq1Cmt7V27dhVt27bVnFeqVCmt/UFBQcLa2losWbIkTrl0STM23UKFCmktGT9s2DBRqFChRMu8fft2UaBAgTj5JmXDhg2iaNGiIiwsLMG0E0MC38qtra2FtbW1GDFihLhw4YJYtGiRsLGxEStXrhRC6H4/PmaKGpp9+/aJzZs3i8uXL4sDBw6ISpUqCQ8PDxEUFJRgWpMnTxb29vaal5mZmbC2ttbaltjv+6cqVaokatSoIZ48eSKio6PFmjVrhJmZmcifP7/OacR3fUmla8g9F8L4Ghpjf8ckyWDR0UKMHi1Ew4ZCxMSYPPljD46JyOhIzfvQyFCT55HW6VNDky4CGn0/JMaNGxen2SS5AppevXpp7W/UqJHo0qVLvMfHunr1qgC0PrDs7e2FpaWlKF++vOa8bt26aZ3n6+srAHHv3r045dIlzdh0Py6fEELs3LlTWFhYiOjo6ATLbAh/f3+ROXNmcfnyZa38TRHQWFpaikqVKmlt69u3r6hYsaIQQrf7YUwgkVC5PvXu3Tvh5OQkli5dmuAxb968Ebdv39a8ypcvL6ZPn661LSoqKsm8Yt25c0dUr15dAMLc3FyUK1dOtG/fXhQsWFDnNOK7vqTS1fV30ND7Hl+ZTPE7JkkGeftWiHr1hFC6AQuxb5/Jko6MjhRD/hoiGI8YfHCwydJNj/QJaNLFxHr16tXT/Fy8eHEqVKiAp6cnmzdvpmvXrnGOHzFiBIMGDdK8DwoK0jT1mJqlpaXWe5VKhVqtTvSc4OBgAPbu3Uv27Nm19llbW2t+tv9krgJbW1uj00xJ58+f5+XLl5QuXVqzLSYmhuPHjzN37lwiIiIwNzc3KO1s2bJRuHBhrW2FChVi27ZtgG7344cffqBVq1aa7e3bt6d58+Y0a9ZMs83d3d2g8sXKkCED+fPn586dOwke4+LigouLi+a9ra0tmTNnJm/evAblmSdPHo4dO0ZISAhBQUFky5aN1q1bk9vIWUmTSlfX30FT3vfk/B2TpAT99x80bQp374KtrTJR3kefU8bwD/SnzdY2nH58GoDImEiEEF/M8gXGSBcBzaeS+pCwtrZOtQ/xT1lZWRET2776f4ULF8ba2hp/f39q1Kihc1r58uXD1taWI0eO0K1bN4PT9PX11Xp/5swZ8uXLp/nDH1+ZDfHVV1/x33//aW3r0qULBQsWZNiwYUZ90FSpUgU/Pz+tbbdu3cLT0xPQ7X6YOpCIT3BwMHfv3uW7774zWZq6sre3x97ennfv3nHw4EF++eWXZE1X199BU9735Pwdk6R4bdyoTJYXGgpeXsoSBiVLmiTp3X676byzM+/C3+Fs7czyxstpVqhZ0idKQDoNaFLzQ0JfXl5e+Pr68uDBAxwcHDTDvgcPHszAgQNRq9VUrVqVwMBAfHx8cHJyolOnTvGmZWNjw7Bhwxg6dChWVlZUqVKFV69ece3aNbp27apzmv7+/gwaNIiePXty4cIF5syZw2+//ZZomXft2sWIESO4efOmztfu6OhI0aJFtbbZ29vj6uqqtX3u3Lns2LGDI0eOAMrz/ThYvX//PpcuXcLFxQUPDw8ABg4cSOXKlZkyZQqtWrXi7NmzLF68mMWLF2vyNuQeJ0aXcg0ePJiGDRvi6enJ06dPGTduHObm5rRt2zbRdGNrNwA2btwIwPPnzzXb3NzcdP5wPnjwIEIIChQowJ07dxgyZAgFCxakS5cummM+vee6XF9S6abGPdf1d0ySjBYdDcOGwcyZyvtvvlEWl3R1NTrpyJhIhh0axizfWQCUz16ejc03kitjLs0xjx/D7duQLx/kyGF0lmmfEHpPQpguAhpDPiTSisGDB9OpUycKFy5MWFgY9+/fx8vLi59//hk3NzemTp3KvXv3yJAhA6VLl2bkyJGJpjdmzBgsLCwYO3YsT58+JVu2bPzwww8AOqfZsWNHwsLCKF++PObm5vTv358ePXokWubAwMA4NSKm8vr1a+7evat5/++//1KrVi3N+9jmw06dOmnmKylXrhw7duxgxIgRTJw4kVy5cjFr1izat2+vOc/Qe5wQXcr1+PFj2rZty5s3b3Bzc6Nq1aqcOXMGNze3BNOdMWMGEyZMSDTv2N8bXQQGBjJixAgeP36Mi4sLzZs3Z/LkyVrNo5/ec12uT5d0U+OepyUhIaldAilZvHqFTafWmB9X5paJ/Gk4UWMnKcsZmOCZ3w94zNILykjTfmV/Yny1KViZW2l+nxYvhtheFGZmyjqXBnw/SB+EwHz7FiznziR89yFChO6nqoQQOh8eGhqKn58fefPmjTO5nI+PD1WqVNE9Zz20adOG48ePa31ITJ48mTx58uh0flBQEM7OzgQGBuLk5JQsZUwvatasScmSJZk1a1ZqF0WSPjuym8Pnpyzn2EZzPHjEexzozEq209z0GRXeCtHWcKuh6dNOJ0pwidn0pwbHARjNz0ymH6Db57fONTRnzpyhYcOGWFlZ8e7dO0aOHMno0aM1++vVq0dQUJBhV5GE2Cp4SZIkSUopXVjOfHphQwR+5KcpO7hB4aRPTIpFOHw9BG40gwf/r4G83sL4dNOpTLxiEqPpzhLMEIRiyzSGM5NBQLTO6egc0AwaNIi5c+fSunVrbt++zXfffcetW7dYtWoVKpUKPSp6JEmSPksfdYWS0rv377EtOw6zJxFE129EjsWrOefsbHSyd9/doeOeVlx+eZFsX23nctfbiS5d8OQJFCoEHw+eNTeH69fhk8GE6Y8QWMyfjdWU8agCAwGIbtkWfp7OsBw5GYbSwqLrYFOdm5wyZMhAQECA5n14eDgtWrTAwsKCzZs34+rqyvv37/W9nBQhm5wkSZIkvZ07B3/9BSNGKJ1XjLTx6kZ67OnB+8j3ZLLLxJqma6ibt26S582fD717Kz+bm8OiRcpAq89C+/ZK5+rSpWH2bKhaVWu3Pp/fOgc0np6enDp1Smt+iejoaL777jueP3/O2bNnCUmjPeJkQCNJkiQl6cQJePYMPponyRTCosIYcGAAiy8oozCre1ZnfbP1ZHfSvYrl8WO4cwfy5k3no5xu3VLm7omdG+7xYzh4EDp3VqK1T+jz+a1zyOnt7c2KFSu0tllYWLB+/Xry5s1LWFiYrklJkiRJUtri6wu1ayvDh65cMVmyAeEBVFxWkcUXFqNCxehqoznS8YhewQwoQUzNmuk4mAkMhCFDoGhR+OmnD9tz5FCqm0wwZ5TOfWgWLFhAdHTczjkqlYolS5YwZswYowsjSZIkSamiXDllbhknJ9BxBK0unK2dKZq5KM+Dn7Ou2Tq8c39hC6iq1bBiBYwcCS9fKttCQyEiAkw8Aa5ew7bTK9nkJEmSJMXx8CFkzqw0gQCEhYGNjdHj70OjQomMiSSDTQYA3ke8JzgymGyO2YwscDrj4wP9+8P588r7/Plh1iy9lolIliYnSZIkSfpsHDqkdET98UdlVlpQAhsjg5lrL69Rbkk5Ou/srBn962jt+OUFM1u2KB18z59Xar1++01ZA8tEa17FxyQzBZ88eZLly5dz79493r17F2cIt0ql4vLly6bISpIkSZIMJwRMnw6jRinNIdevK+PtP5ksVv9kBSsvraT3vt6ERYfxLuwdj4Mek9M5eRZGTvO+/RY8PKBOHZg0SakJS2ZGBzQzZ85kyJAh2NjYUKBAAa1F575Ejx494rvvvuPly5dYWFgwZswYWrZsmdrFkiRJkt6/hy5dYNs25X3XrjB3rtLMZITgyGB+3Psja6+sBeCbPN+wpukaMtsn/4d4miCEck83boTNm5Uh7vb2cO0aODikWDGM7kOTLVs28uXLx549e3A2waRDySEl+9A8e/aMFy9eULJkSZ4/f06ZMmW4desW9vb2yZqvJEmSlIhbt6BpU6VGxtJSWRCpRw+jm5iuvLhCqy2t8Hvjh7nKnJ9r/cywqsMwU30hPTouX4YBA+DoUeX96tVgwoWj9fn8NrqGJjQ0lPbt26fZYCalZcuWjWzZlLbSrFmzkilTJt6+fSsDGkmSpNSye7fyIRsUBO7usHUrVKpkdLIx6hhNMJPdMTsbW2ykqkfVpE/8HLx+DWPGKCtnqtVKLdewYdA8Gda50pHRIWStWrX477//TFGWdKFz586oVCpUKhWWlpbkypWLoUOHEh4eHufY8+fPExMTQ86cKd+GOm/ePLy8vLCxsaFChQqcPXs20eMXLFhA8eLFcXJywsnJiUqVKrF//36tY7y8vDTX/vGr9/+nsExqvyRJUopSq2HsWGjcWAlmYjupmiCYATA3M2dF4xU0KdiESz9c+jKCmZgYZUbffPlg4ULlHrduDX5+MH482CW8jEOyE0by9/cXBQsWFL/++qt48+aNsckli8DAQAGIwMBAo9Pq1KmTqFu3rnj27Jnw9/cXO3bsEE5OTmLo0KFax71580YULlxY+Pj4GJ2nvjZu3CisrKzE8uXLxbVr10T37t1FhgwZxIsXLxI8Z/fu3WLv3r3i1q1bws/PT4wcOVJYWlqKq1evao55+fKlePbsmeZ16NAhAYh//vlHp/2SJEkp5u1bIb79Vgilh4cQffsKERFhdLIXnl4Qm69uNkEB06mYGCHKl1fuacmSQhw/nqzZ6fP5bXRAI4QQv//+uzA3NxdmZmbCzs5OODo6ar2cnJxMkY3BTB3QNG7cWGtbs2bNRKlSpTTvw8PDRbVq1cTq1auNzs8Q5cuXF71799a8j4mJEe7u7mLq1Kl6pZMxY0axdOnSBPf3799f5MmTR6jVaoP2S5IkJYtr14TIk0f50LWxEcIEf4vVarWY6ztXWP1sJWwm2Ygrz6+YoKDpxO3bQrx//+G9r68QixcLER2d7Fnr8/ltdB+asWPHMnnyZLJnz07ZsmW/uL40V69e5dSpU3h6egLK0L3OnTtTu3ZtvtOhY9SUKVOYMmVKosdcv34dDw8PncoTGRnJ+fPnGTFihGabmZkZ3t7enD59Wqc0YmJi2LJlCyEhIVRKoGo2MjKStWvXMmjQIFTxdKpLar8kSVKysbWFd+/A0xO2b1fmmzFCQHgA3XZ3Y9sNZXRU4wKN9V66IF0KCoLJk+H332HoUGX4NUD58sorjTE6oFm4cCH169dn586dmJlgNdL04M8//8TBwYHo6GgiIiIwMzNj7ty5APj4+LBp0yaKFy/Ozp07AVizZg3FihWLN60ffviBVkkshOau69rpwOvXr4mJiSFLlixa27NkycLNmzcTPfe///6jUqVKhIeH4+DgwI4dOyhcuHC8x+7cuZOAgAA6d+5s0H5JkiSTEuLDiKVcuWDfPmUJg0yZjEr23JNztN7amvsB97E0s+TXr3+lX4V+n/cXNbVaGa00YgQ8f65su35d+x6nQUYHNJGRkdSvX/+LCWZA6Qi9YMECQkJC+P3337GwsKD5/3t2V61aFbVarXNaLi4uaWbungIFCnDp0iUCAwPZunUrnTp14tixY/EGNcuWLaNevXoJBltJ7ZckSTKZV6+gbVsYOBDq11e2VahgdLJ/+P7B4L8GE6WOIleGXGxqsYly2csZnW6advo09OsH//6rvM+XT6mhib2vaZjRUUiDBg04ceKEKcqSbtjb25M3b15KlCjB8uXL8fX1ZdmyZQalNWXKFBwcHBJ9+fv765xepkyZMDc358WLF1rbX7x4QdasWRM918rKirx581KmTBmmTp1KiRIlmD17dpzjHj58yOHDh+nWrVu86SS1X5IkyaRmz4YjR+CHH5RFD03kbdhbotRRtCjcgos9L37+wcyCBVC5shLMODrCjBlw9Wq6CGbABDU048aNo3Xr1vTq1YuuXbvi4eGBeTzLgKeVWghTMzMzY+TIkQwaNIh27dphG7vImY5M3eRkZWVFmTJlOHLkCE2aNAFArVZz5MgR+vTpo1fZ1Go1EfH8cVixYgWZM2emfgK/5EntlyRJMqmxY+HRI2UeFCNXcI5WR2Nhpnw0jqk+hmKZi9GsULPPu4kpVv36ygy/bdoofWc+6bqQ5hnbA1mlUmleZmZmCb5SU3KPcoqKihLZs2cXv/76q9Hpm8LGjRuFtbW1WLlypbh+/bro0aOHyJAhg3j+/LnmmDlz5ojatWtr3g8fPlwcO3ZM3L9/X1y5ckUMHz5cqFQq8ddff2mlHRMTIzw8PMSwYcPizTup/ZIkSUaLiBBi1iwhoqJMlmSMOkb8cvIXUW5xOREWFWaydNMstVqIbduEGDxYe/vLl6lTngSk+CinLyJyTYSFhQV9+vThl19+4ccff0z1WYFbt27Nq1evGDt2LM+fP6dkyZIcOHBAq6Pw69evuXv3rub9y5cv6dixI8+ePcPZ2ZnixYtz8OBBvv76a620Dx8+jL+/P99//328eSe1X5IkyShPn0KLFkpfj8eP4ddfjU7ydehrOu3sxL7b+wDY8N8GupTqYnS6adaVK8pyBf/8o7xv3FiZdBDAzS3VimUso9dySg9Sci0nSZIkKZmcPAktWyojb5ydYf16ZVVnI5x4eIK229ry5P0TbCxs+KPuH3Qr3e3z/KL+5o3SPBc7w6+NDQwZojTVpdHleVJ0Lafo6GhCQ0MTzCgoKAg7OzssLIzOSpIkSfoSCQHz5yu1CtHRULQo7NgBefManKRaqJl2chpj/xlLjIihgGsBNrfcTPEsxU1X7rQiOlrp8DtunDI/DyiB4S+/gJdXqhbNlIwe5dSvXz8qV66c4P4qVarw008/GZuNJEmS9CUKC4POnaFPH+WDuXVrOHPGqGAGYNihYYz6exQxIobvin/Hvz3+/TyDGYDwcJg2TQlmihdXmpo2b/6sghkwQUBz4MABWrRokeD+Fi1asG/fPmOzkSRJkr40Dx8qfTtWrwYzM2UY8YYNJmke6V2+N9kds7Oi8QpWN12Ng5WDCQqchjx8qDQrATg4wB9/KE1NFy5AzZqpWrTkYnRA8/TpU7JnT3gKaHd3d548eWJsNpIkSdKX5PBhKFNG+QDOlAkOHYKffjJ4ptoYdQyH7x3WvPfK4MWdfnfoXLKziQqcRrx/r8zwmz8/rF37YXvz5tCzJ8QzrcrnwuiAxtXVFT8/vwT337hxQ3bElSRJknQjhNK3o04dpRNr2bJw/jzUrm1wks/eP+Obtd/w9ZqvNSOZAGwsbExR4rQhdrmCAgWU5qXISGWywS+I0QFN3bp1WbRoERcvXoyz78KFCyxevJh69eoZm40kSZL0JRg8WBl1o1ZDly5w4gTouDhvfA7dPUTJRSX5+/7f2FvaExwZbMLCphG+vlCpEnTqBM+eKf2Ldu+GlStTu2Qpyuhh20+fPqVcuXK8fPmSRo0aUaRIEUBZhXrPnj1kzpwZX19fcuTIYZICG0IO25YkSUonrlyBGjVgyhRlKQMDm5ii1dGMPzqeKSemIBAUz1KczS02UyBTARMXOJVNngyjRys/OzrCmDHKWkxGzpicVujz+W2SeWiePXvG8OHD2bVrF0FBQQA4OTnRpEkTpkyZkuoLFMqARpIkKQ17/Bg+/tIbEAAZMhic3JOgJ7Td1pYT/so6gz3L9OT3Or9ja6nf0jTpgo8PVKumjASbMgWSWLMvvUn2eWhmzJhBgwYNKFiwIADZsmVj1apVCCF49eoVAG5ubp/nxESSJEmSaajVMHGi0ufjn3+UZhMwKpgBOOF/ghP+J3C0cmRJwyW0Ltra+LKmBULArl3w5An07q1sq1IF7tyB3LlTt2xpgEF9aH755ReKFClC7ty56du3LwcOHCAiIgKVSkXmzJnJnDmzDGYkSZKkxKlUcP26skL2wYMmS7ZN0TZM/WoqF3pe+HyCmatX4euvoWlTpZ/Rw4cf9slgBjAwoHnx4gU+Pj589913nD59mvr16+Pq6krDhg1ZuHAh/v7+pi6nJEmS9LlRqWD5ctiyBcaPNzgZ/0B/mm9uzsuQl5ptw6sOJ6+LcZPvpQlv30LfvlCypDJqydpaGb7u6praJUtzTNKH5sWLF+zdu5f9+/dz6NAh3r9/T+HChalfvz4NGjSgcuXKmJkZPaDKYLIPjSRJUhqxeTMcOADLlhnc4fdju/1203lnZ96Fv6Nl4ZZsbrnZBIVMA6KjYdEiZe2lt2+Vbc2bK4tx5sqVumVLQSneKfhj0dHRnDhxgn379rFv3z5u3LhBhgwZ+Oabbxg4cCAVKlQwZXY6kQGNJElSKouOhpEjP6yOvX49tG1rcHKRMZEMPzyc38/8DkA593JsarGJXBk/kw97f39lcryICChWDGbNMmounvQqVQOaTz148IC9e/eyb98+atWqxeDBg5Mzu3jJgEaSJCkVvX4Nbdp8mOht6FBluLGBixbff3efNtvacPbJWQAGVhzINO9pWJlbmarEqeP1a2VW5FgzZijLPHTvbvC9Su/SVECTFsiARpIkKZWcPw/Nmik1Dvb2sGKFstKzgc48PkPdtXUJjAgko01GVjZZSaMCjUxY4FQQHAxTp8LMmUrQl8iCz1+aZB22bWiHXw8jZnqUJEmS0qFVq5T1gyIilNlrd+yAokWNSrKwW2Hc7N0o7FaYjS024uGcjj9b1GpYt06ZGfnZM2Xbli0yoDGQ3gGNl5eXQUOyY2Ji9D5HkiRJSociI2HQIJg3T3nfoAGsWWPw/DJPgp7g7uiOSqXCydqJIx2PkM0hG5bmlqYrc0o7exb694czZ5T3uXMrNTSN0nltUyrSO6BZvny5nGNGkiRJit+zZ0qTko+P8n78eGU6fgNHum68upEee3owqfYk+lXoB5C+a2VA6UMU2zna3l5ZumDgwM9muYLUondA07lz52QohiRJkpTunToFLVooQY2zM6xdq9TOGCAsKoyBBwey6PwiAPbc2kOf8n0wU6XeFCAmU7iw8m+nTspyBam8PNDnwqTdpoODg3n06BEAOXPmxMHBwZTJS5IkSWlVRIQykunZMyhSROkvky+fQUn5vfaj1dZWXHlxBRUqRlUbxbia49JnMCME7NmjzLnTsKGyrWNHZaK8kiVTs2SfHZP8dpw7d45atWqRMWNGihYtStGiRcmYMSO1a9fm33//NUUWkiRJUlpmba10cG3XTukXYmAws/bKWsosLsOVF1fIbJ+Zgx0O8nPtn7EwS4fDlq9fhzp1oHFjZeXw4GBlu5mZDGaSgdG/Ib6+vtSsWRMrKyu6detGoUKFALhx4wYbNmygevXqHD16lPLlyxtdWEmSJCkN8feHmzfhm2+U99WqKS8D3Xl7h847OxMjYqjlVYt1zdaRzTGbiQqbgt69U/oOzZsHMTFgZaWshi37nyYro+eh8fb25sGDB5w8eZKsnyxb/uLFC6pUqUKuXLk4dOiQUQU1hpyHRpIkycT8/KBqVQgLA19fpZnJBGacmkFIZAijq4/G3MzcJGmmmOhoWLJE6QT95o2yrWlTZYI8uYCkQZJ1HppP+fr6Mnbs2DjBDECWLFno0aMHP//8s7HZSJIkSWlJnjxQvDgEBICB/SWFEKy8tJJy2ctRNLMyP83gyik/m7zJ/Psv9Oql/Fy0qLJcwVdfpWqRviRGBzRmZmZER0cnuD8mJiZVF6aUJEmSTCQkBCwtlSYUCwtlEjhbW+Wlp+DIYH7c+yNrr6ylUKZC/NvjX+ws7ZKh0MksJEQZeg1QsaLSV6ZoUWVCwS90uYLUYnSkUblyZebNm8fDhw/j7PP392f+/PlUqVLF2GwkSZKk1HTnjvKBPXDgh20uLgYFM1deXKHs4rKsvbIWM5UZHYp3wMbCxoSFTQEhIUrTkocH/H90LwALFkDv3jKYSQVGBzRTpkwhMDCQggUL0q5dO8aPH8/48eNp27YtBQsWJDAwkKlTp5qirABMmzYNlUrFgAEDTJamJEmSlIi9e6FsWbh6FbZvh1evDEpGCMHi84upsLQCfm/8yO6YnaOdjjKy2sj0MyRbCGWl8AIFYNIkePsWVq9O7VJJmKDJqVSpUvj6+jJq1Ch2795NaGgoAHZ2dtStW5dJkyZROHYSISOdO3eORYsWUbx4cZOkJ0mSJCVCrVY+tMePVz7IK1dWmpnc3PROKjQqlK67u7Lx6kYA6uWtx+qmq8lklymJM9OQf/9Vlis4dUp5nysX/PYbNGmSqsWSFCapEytcuDA7duxArVbz6v+Ru5ubm0n7zgQHB9O+fXuWLFnCpEmTTJauJEmSFI/AQGUCuN27lfe9esHvvyv9ZwxgbW7Ns/fPMFeZM/WrqfxU+af0UysDyvUvXKgEdvb2MGqU0vxmk86ayj5jJm3kMzMzI0uWLKZMUqN3797Ur18fb2/vJAOaiIgIIiIiNO+DgoKSpUySJEmfpWvXlOHGt28rE+YtXKjMo6InIQQxIgYLMwvMzcxZ33w9DwMeUilnJdOXObllzKgEM999B1OnQvbsqV0i6RMmCWhOnjzJ8uXLuXfvHu/evePTqW1UKhWXL182OP2NGzdy4cIFzp07p9PxU6dOZcKECQbnJ0mS9MXaulUJXkJCIGdOpc9M2bJ6JxMQHkD3Pd3Jap+VOd/OAcDd0R13x3SwbpEQSr+hbNmgTBll24gRytIFFSumbtmkBBld3zdz5kxq1KjBpk2bCAoKwsXFBVdXV62Xi4uLwek/evSI/v37s27dOmx0rNobMWIEgYGBmtejj3ugS5IkSXHFxMDw4cpK2SEhULs2nD9vUDBz7sk5Si8qzdbrW1l0fhH33t1LhgInkxs3oF49JXjp3VvpRwTKXDsymEnTjJ4pOFu2bOTLl489e/bg7OxsqnJp7Ny5k6ZNm2Ju/mHGyJiYGFQqFWZmZkRERGjti4+cKViSJCkRr19D27Zw+LDyfvBgpVlFz6HHQghm+85m6KGhRKmjyJUhF5tabKJc9nLJUGgTCwhQOj/PnfthuYKBA2HCBKXZTUoVKTpTcGhoKO3bt0+WYAbgq6++4r///tPa1qVLFwoWLMiwYcOSDGYkSZKkJLx5A2fPgp0dLF8OrVvrncTbsLd8v+t7dvntAqB5oeYsbbSUDDYZTFxYE4uJgaVLYfRoJbADZTHJGTMgb97ULZukF6MDmlq1asUJOEzJ0dGRokWLam2zt7fH1dU1znZJkqTkFhLyYaZ/Pz/Inz91y2MSBQrA5s3g7g7Fiul9ulqoqb2qNpdfXMbK3IqZ38ykV7leqNLDYozbtimz+wIULqwsV/D116laJMkwRgc0c+bM4ZtvvmHGjBl8//33RvWXkSQp7QkJSe0SpC2LF3/4uVAhmDMHOnVKvfIYJDISq5GDiW7QBHXN2sq2qnWUfw163mYMqziOMceGsrnVJkpnK22qkiaPqChlCQeA5s3B2xsaNVICm9jtUrpjdB8agFmzZjF48GCEENjY2MRpBlKpVAQGBhqbjcFkHxpJMlx6+JIt6Wc4U5nKSF7iRh7uEoyj/onYvYaMd+FJhQ/bzCMQ0Wm4v0lICPzyC2zcCBcvKk1soIxqkr/oaVKK9qEZO3YskydPJnv27JQtWzbZ+tJIkiRJpjGLAXzNIX5noGHBjMcJaNEWzCNg4SV4//85WWLSaDAjhBLEDB0Kjx8r2zZsgK5dlZ9lMPNZMDqgWbhwIfXr12fnzp1yVW1J+gwFB6d2CdKOJ0+UZqbYkbwA5uZw/Xoan2dNCMz3/0lM3fpgZgbYgjjCRj0/yNVCzW++05jkM5YYEUM+lwJsuBpEQdc0fPHnzyvLFfj4KO89PZXlCpo1S91ySSZndEATGRlJ/fr1ZTAjSZ8pe/vULkHakT+/0memd2/lvbk5LFqUxjsGh4cr0/avWAHjxilDkwHQL5h5GfKSDjs6cOjeIQA6FO/AgvoLcLByMG15TSU6WukTs3y5UkNjZwcjR8KgQQatEC6lfUZHIQ0aNODEiROmKIskSVKa93EH4OvXP7RapEn+/lCtmhLMmJkZHJ3+c/8fSiwswaF7h7C1sGV5o+WsbrI67QYzoMyhExCgBDPt28OtW8r6SzKY+WwZ3Sn49u3btG7dmooVK9K1a1c8PDzinRsmNUc/yU7BkiR9cf7+W5lP5vVrcHVV+pB4exuUVPfd3Vl6cSmF3QqzucVmimQuYuLCmsi+fVCixIf2v4cPlXbCypVTt1ySwfT5/DY6oPm4qSmxOQdiYmKMycYoMqCRJOmLIQTMnKl0gFWroVQpZT0mLy+DkwyNCmXqiakMrzoce6s02AZ586bSlLR/P3ToAGvWpHaJJBNJ8VFO6WLyJEmSpM9dSAh066bUxgB07KislK1nM8uhu4dYc2UNK5usxExlhp2lHT/X/jkZCmykgACYOFHp2BQdrcwh4+4uh2F/oYwOaMZrOphJkiRJqebOHWjaFK5eVfqP/P670ntZjw/2aHU044+OZ8qJKQgEVT2q0qNMj2QstIFiYpTOvqNGwatXyraGDZXRS/nypW7ZpFRjdEAjSZIkpbJ9+5SOrwEBkCULbNmidAbWw+Ogx7Tb1o4T/sogj55levJd8e+SobAmMHs2/PST8nOhQkrwVqdO6pZJSnVyrLUkSVJ6NncuNGigBDMVKyrzrugZzOy/vZ+SC0tywv8EjlaObGi+gYUNFmJrmYZGBH3c3bNbNyhYUFl36fJlGcxIgKyhkSRJSt8qVAArK+jSRfmAt9Zvtt7fT//OoL8GAVAqayk2tdhEPtc01GwTGgq//gonT8JffylNaE5OStNaPCNqpS+XDGgkSZLSm5CQD3PKlCsH//1ncN+RGl41sDK3onvp7sz4ZgY2FjYmLKgRhFCazoYMUebTAThwAOrVU36WwYz0CdnkJEmSlJ5s2wa5cilNS7H0DGb8A/01P5fOVpqbvW8y99u5aSeYuXgRatRQ5tHx9wcPD9i8GerWTe2SSWmYDGgkSZLSCyFg1SplZM/s2XqfHhkTyaCDg8g3Jx/nn34IiHJlzGXKUhouOBh69IAyZeDECWW4+cSJyjwzLVvKodhSomSTkyRJUnqhUsHq1TB/vjJxnh7uv7tPm21tOPvkLACH7x2mjHuZ5Cil4Wxt4exZJXBr1w6mTYOcOVO7VFI6kew1NLVr16ZDhw5cv349ubOSpC/a48fwzz/Kv9Jn5OJFGDHiwyifDBmURRYtdP8+uv3GdkotKsXZJ2fJYJOBna13MqzqsOQpr74OHYKwMOVnc3NYvFjpALxunQxmJL0YvfRBUmKXRjAzM6Nt27asSYUpqeXSB1JaEhJi+jRXrYK+fZWZ7s3MlIlTP15E0VTkytspbO1a6N5dWTF72TL4/nu9Tg+PDmfIX0OYe24uABVzVGRj8414ZvBMjtLq59YtZbmCvXuVZqUxY1K7RFIalKJLHyRFrVYTEhLCsWPHOHr0aHJnJ0mAUktx+7bSVzJHjtQujTaHZF6gWK1WJojt3dv0aSfv1x9JIypKmThuzhzlfb16yizAelp7Za0mmBlaeSiTak/C0tzSlCXVX2Ag/Pwz/PGHcp2Wlsq/kmSkZK+hSQtkDY1hkqMmISWkVG2FoZI7oElOn/9fizTg+XNo1UrpFAswejSMH2/QMGW1UNNxR0faFWvHt/m+NW059RUTAytXKs1lL18q2+rXVxbSzJ8/VYsmpV0putp2eiADGsPIAQWpLzg46WOePFFmf1erP2wzN4fr1yF7dtOWRzY5JbMzZ6B5c3j6FBwdlVWjGzfW+fSwqDB+8fmFwZUHp71VsYcMgRkzlJ8LFFCWK4idU0aSEpBmmpzevHnDvHnzUKlUjJHto5KkN10CiPz5lX6UPXsqX4LNzWHRIvmlN91ZvBj69FGaXwoVgh07lA9+Hfm99qPV1lZceXEF/0B/ljVeloyFNcAPPygjtIYPV9pDraxSu0TSZyZZa2j8/PwoVKgQKpWKmJiY5MomSbKGxjDpsckpJWsrUoI+NSKPHysLLufNm/b6DUmJCA9X2kiXLlXeN2umNM04OuqcxNora/nhzx8IiQrBzc6Ntc3W8k2eb5KnvLoIC1NqY54/h3nzPmyPiNB7aQbpy5Zmamg8PDz4559/kjMLKRmlx+aFL7m2IkcOGcikO48eQYsWytwrZmYweTIMG6Zze29oVCh99/Vl+aXlANT0qsm6Zutwd3RPzlInTAjYulVpXnr4UNn2ww9QrJjyswxmpGQk+9BInyVZWyGleWo1FC0KN26Aiwts2ADf6F6rcvvNbZpuasq1V9dQoWJsjbGMqT4Gc7NUWuPo8mXo3x+OHVPe58ypLCrZqpXskCcZLM3U0EhSapG1FVKaZ2amDF0ePlxZhDGXfssP2Fna8SLkBVkdsrKu2Tpq56qdTAVNwrt3ysR/S5YoQZqtrVLLNGQI2NmlTpmkL5LeNTT+/v5JHxQPDw8Pg84zBVlDI0lSmhAaCteuKStkx4qdX0AHUTFRWvPInHl8hlwZcpHFIYupS6q7gAClTffVK2UxyV9+URaTlCQTSNYaGi8vL1QGVB+mZqdgSZKkVPfsmbJa9MOHcO7chxWydQxm/nvxH622tmJy7ck0K9QMUGb+TRWnTkGlSkpTUoYMSu2MiwtUq5Y65ZEkDAholi9fblBAI0mS9EVzdVVmVbS2hjdvPgQ0SRBCsPTCUvod6Ed4dDhj/xlLk4JNMFMl+1J8cd2+rcxgvGcPbNqk9I8BvebKkaTkondA07lz52QohiRJ0mdIrVZG/pibK/OubN2qDL/TsYNXUEQQPf/sycarGwGol7ceq5qsSvlgJihIGYH1++/KPDkWFnD/fsqWQZKSYNJOwcHBwTx69AiAnDlz4pCe53iXJEkyRlCQsuZGnjwfZsjNlk3n0y8+u0irra248/YO5ipzpnw1hcGVB6dsMKNWK2uJjBgBL14o2+rVUwIbPSb9k6SUYJL/GefOnaNWrVpkzJiRokWLUrRoUTJmzEjt2rX5999/TZGFJElS+nHzJlSoADt3KouJPXig1+kPAx5SaVkl7ry9Q06nnBzvcpyhVYamfM1Mly7KCt8vXigdf/fuhX37ZDAjpUlG19D4+vpSs2ZNrKys6NatG4UKFQLgxo0bbNiwgerVq3P06FHKly9vdGElSZLSvB07lJqZ9++VpqVt28DLS68kPDN40r10dx4GPmRlk5W42LokT1mT0qmTEpSNHavMZiyXK5DSMKMn1vP29ubBgwecPHmSrFmzau178eIFVapUIVeuXBw6dMioghpDDtuWJCnZxcQoH/xTpijva9SAzZshc2adTv/36b+4O7prZvmNionCwswi5QZhhIUpK1/b28OAAR+2BwaCs3PKlEGSPqHP57fR9Ze+vr707NkzTjADkCVLFnr06MGZM2eMzUaSJCntevsW6tf/EMwMGACHDukUzAghmH1mNpWXVabdtnZEq6MBsDS3TJlgRgilFqlwYRg9Wnk9f/5hvwxmpHTC6CYnMzMzoqOjE9wfExODmY7zLEiSJKU7ly9D06bKqB9bW2WRyXbtdDr1bdhbvt/1Pbv8dgHgaudKeHQ4DlYpNKDiyhUl+Ipdcy9HDmVivCypOFGfJBnI6EijcuXKzJs3j4exC5F9xN/fn/nz51OlShVjs5EkSUp71q9XJpi7f19ZuuD0aZ2DmTOPz1BqUSl2+e3CytyKOfXmsLXl1pQJZt68gV69oFQpJZixsVGay27ehLZt5dpLUrpkdB+aixcvUr16daKjo2natCn5/7+ssZ+fH7t27cLCwoITJ05QokQJkxTYELIPjSRJJhUVpaxVNHu28r5OHSW4cUm6865aqJl5eiYjjowgWh1Nnox52NRiE2XcyyRzoT9y+zYUKaJcR8uWSq2Mnh2XJSklpOjilKVKlcLX15dRo0axe/duQkNDAbCzs6Nu3bpMmjSJwoULG5uNJElS2nH/vjLdP8CoUTBhgjJ5ng4ioiNYcWkF0epoWhdpzeKGi3GyToEvWjduwP9HoZIvnzKXTNGiSudlSfoMGF1D8zG1Ws2rV68AcHNzSzN9Z2QNjSRJJrd1qxLENG2q96nXXl7jpP9JepTpkfwdf+/eVZYr2L1bWUOqTArWBEmSkVK0hiY6OprQ0FCcnJwwMzMjyyedyYKCgrCzs8PCwqSTEkuSJKWspUuVGo7YPoEtWuh0mlqomX5yOlbmVvxU+ScAimQuQpHMRZKrpIr37z8sVxAZqSxX4OsrAxrps2V0FUq/fv2oXLlygvurVKnCTz/9ZGw2kiRJqWfZMujeXQliXr/W+bSXIS+pt64eI/8eybDDw/B77ZeMhfy/2OUK8ueH6dOVYOabb5QRTb16JX/+kpRKjA5oDhw4QItEvqm0aNGCffv2GZuNJElS6mndGooXV2bL1aHjL8DRB0cpubAkf939C1sLWxY3XEx+1/zJXFCgUSPo3FmZSyZvXmVl7AMHPvSfkaTPlNHtQE+fPiV79uwJ7nd3d+fJkyfGZiNJkpSyrl5VRgKpVODgAGfPgrV1kqfFqGOYfGIyE45NQC3UFMpUiC0ttyR/E1Oshg3h+HEYMwb69dOpzJL0OTC6hsbV1RU/v4SrUW/cuCE74kqSlH4IAX/8oczR8uuvH7brEBgIIWi0sRHjjo5DLdR0KdmFc93PJV8wEx4OU6fCrl0ftnXrpgzLHjJEBjPSF8XogKZu3bosWrSIixcvxtl34cIFFi9eTL169YzNRpIkKfmFhkLHjtC/P0RHK7U0egwEValU1M1TFztLO1Y3Wc3yxsuxt7I3fTmFUBbBLFwYRo5UyhsWpuwzN5cz/UpfJKOHbT99+pRy5crx8uVLGjVqRJEiyjeRq1evsmfPHjJnzoyvry85cuQwSYENIYdtS1LiHj9WvtTny6fMfv9Fun8fmjWDS5eUoGDGDCVQSGJYdbQ6mmfvn5HTOSeg1NI8CnqEh7NH8pTz6lVluYIjR5T37u7KxHjt2skZfqXPjj6f3yaZh+bZs2cMHz6cXbt2ERQUBICTkxNNmjRhypQpuLu7G5uFUWRAI32JQkJ0O27VKqWvq1oNZmYwZw506pT4OfbJUOmQqv76C9q0gXfvwM1NWSW7Zs0kT3sS9IR229vxJOgJF3peSN4J8t6+VZYnWLBAeVjW1kqz0rBhSh8fSfoMpXhAE0sIoTWxnqkmjFqwYAELFizgwYMHABQpUoSxY8fq3JQlAxrpS5ScX9ZN91cjlQkB06Yps/0KAeXLKytP61BNdeDOAb7b8R2vQ1/jYOXAvnb7qOZZLfnKevgwfP218nPz5kr/nly5ki8/SUoDUnRivY+pVCoyZ85syiQByJEjB9OmTSNfvnwIIVi1ahWNGzfm4sWLmiYuSZIkvbx/r1RF7dihvO/WDebOTbIjbVRMFGP+GcN0n+kAlMxakk0tNiXPkOwnTyB2FKm3t1IjU68e1Kpl+rwkKZ0zaQ1NSnJxceHXX3+la9euSR4ra2ikL5EuTU5PnijTk6jVH7aZm8P16x8+R588gTt3lClNYrel+yYnPz9o0kRZXdrKSglkundP8rRHgY9os60Npx6dAqBX2V78Vuc3bCxsTFu+e/dg8GA4dEjp3JQ1q2nTl6R0ItVqaFJCTEwMW7ZsISQkhEqVKqV2cSQp2enaF8YQ2bMrfWb69YOYGCWY+eOPD4FLQv1rkrNMCTFZELVvn9Jf5v175UK3boWKFXU6dejhoZx6dAonayeWNVpGi8K6LX+gs+BgmDIFfvtNmeHX3Bz+/lvp8CtJUqLSTQ3Nf//9R6VKlQgPD8fBwYH169fz7bffxntsREQEERERmvdBQUHkzJlT1tCkEDlixrTkwBWFyf5SnTypNNlUrqx0/tVjiPPLkJd0292NWXVnkTtjbhMVCCViXLdO6eD77JmyzdsbZs1SJveTpC9UqnUKTk6RkZH4+/sTGBjI1q1bWbp0KceOHaNw4cJxjh0/fjwTJkyIs10GNAkz1TduQ0bMJCXdN28YSQY0CqP+UsX+QsY6fhwqVQJLy0RPexDwgM3XNjO0ylAjMk9CTIwSYJ04obzPkwdmzlRm/JUPX/rCfZYBzae8vb3JkycPixYtirNP1tDoLy3/3Uyfv6GmkxrNO6Bb/5qUZHBge+UKfPedUgNStKjOp+24sYMuu7oQGBHIumbraFcsGZt9fvoJFi+G0aOVOWbkDL+SBHzmfWhiqdVqraDlY9bW1ljLPwjSZyK1aqjy51c+Y3v2/NC/ZtEiZXu6MmaMEtQMGqTMN5OEiOgIhhwawpyzcwCokL0CVXJWMV15IiKUpqQ6daBkSWXb2LFKJ+Bs2UyXjyR9YZI1oHnz5g3z5s1DpVIxZswYg9MZMWIE9erVw8PDg/fv37N+/XqOHj3KwYMHTVjaL1twsPFppLVv9JLxunZVPndjRzmlyz5Ry5Ypw51nzEjy0Ltv79J6a2vOPzsPwOBKg5ny1RQszRNvmtKJELB7t1Ibc/eu0jn56FGletTZWXlJkmSwZG1y8vPzo1ChQqhUKmJiYgxOp2vXrhw5coRnz57h7OxM8eLFGTZsGF/HTjKVBDlsO+UsWxb3G70OI+slyXRevoRNm5TOXHrYeXMnnXZ2IigiCFdbV1Y1WUX9/PVNU6Zr12DgQGUYNijLFUyfDu3bp+32XklKZWmmycnDw4N//vnH6HSWLVtmgtJIKcHU3+jliClJL2fPKrPoPn6sLAfQpYvOp1qbWxMUEUSVnFXY2GIjOZxM8Av39i2MHw/z5ytRvrW1UkMzYoRcrkCSTCzddgrWh6lraFKrk+aXJjlGTEmJS9cjypYtg169lPlbChRQZgAuVCjRUyJjIrEyt9K8P3DnAN65vbEwM9F3vYUL4ccflZ+bNVOWK8htwuHekvSZS5VRTlevXmXfvn2a9Za8vLyoV68exYoVM0XyRjF1QCNriKXPVbr8ehMRoayKHTvisXFjWL0akvi/vu7KOkYcGcHxLsfxyuBluvIEBECGDMrP0dHQoYMyC/FXX5kuD0n6QqRoQBMREUHPnj1Zs2YNQgjM/j/Xg1qtRqVS0b59e5YuXYqVlVUSKSUfGdBIkm7SXUDz5Am0aAFnzij/MX/+WWnO+XjOmU+ERoXSb38/ll1UmrL7V+jPrLqzjC/L/ftK5+OLF5U+MzYmXg5Bkr5AKdqHZtiwYaxevZpevXrRt29f8uTJg0ql4s6dO/zxxx8sWLAAFxcXZs2aZWxWaYYpRgRJiTPFiKn00jS4bp0yYje2aW3GDKWvaGrQ9Z6liaapEyegZUt48UKpEVm/Xlm4MRHXX12n1ZZWXHt1DRUqxlQfw9gaY40rR0gITJ2qPLiICOUX9fhx+OYb49KVJEk/wkiurq6iY8eOCe7v0KGDcHV1NTYbowQGBgpABAYGpmo5JP0sXSqEubkQoPy7dKl+5yv1DfKVHK9UpVYLMXu2EBYWSmGKFRPizp0kT1txcYWwm2wnGI/I8msWceTeEePLsXatENmzf7gxtWsL8d9/xqUrSZKGPp/fRtfQREVFUTGRhd0qV67Mnj17jM1G+gJ9FnOgSKYVGqrMC7B2rfK+bVtYsiTJKqM1l9fQZZcy4sk7tzdrm64li4PuazjFERys1MCcPq28z5VLWa6gcWPZJi1JqcTogKZOnTocPHiQH2N78n/iwIEDfCOrXiUD5chheCCTHpoG5WSEehAC6tdXJqMzN1dGDA0YACpVksP7WxZpyR9n/6BxgcaMqDoCczNz48ri4ACurkogNWqUMseM7DMjSanK6E7Bfn5+tGrVijx58tC7d2/y5s0LwO3bt5k3bx73799n06ZNuLm5aZ3n4uJiTLZ6kRPrSWlZck5GmF76EenKfN8erHt3I3zlRtQ1agHxD+/v2FGw9+5u6uVuoAleomKiDJ/xNyICi0VziW7dQbM6t+qRP1hYILK5m+Ta9JEm+jBJUgpI0VFOZh+NJlB9UtUam/Sn2wGjZg7WlwxoPl+fy8R7jx8nT9Na+m/9EHjxgAfk0myxJ5gQEpuUTkC9vlBhHhwdB0fHG5V/A/5kJoPIxx2W0pXuLDUiPdNId6PRJMlAKTrKaezYsfEGLNKXLSVqBoyZeO/Jkw8BhD5NO8n1zdiYprXPlT3BrKQzNTlKGc7jjydAEsEMgAoyXwW1OUQa/sAKcoNZDKAOyoKWz8jKcaobnJ4kSclLzhQsJYvPNcZNb/9b0nWTU3g4Nl9XxezqFSJWbCCmSfM4h8TXBwlVNFlHV2JNh1lUym7AKtnv3mE1dQIWi+aiiolBWFkR1XcQUYNHgqOj4ddjQrLJSfpSpNpaTsHBwTx69AiAnDlz4iDXKpGkVJWuP/jsbWDndnj6FJsERlLmzw+z5oXSv7c1Qm0OqmiKd5vP38MP4Grnali+P0+H+bOVnxs3RvXbb1jlyUPqTQ0qSZIuTBLQnDt3jqFDh3Ly5EnU//+qZGZmRrVq1fjll18oW7asKbKR0pHkHmGkz+ggfeJqY8r9ufTnSTVqtbKQo0oFEyYo2zw8lFciaje7j9W9xkS99mRU49ZMaNRX/2bw8PAPo5SGDVNmHh41Cr7+Wv/rkCQpVRjd5OTr60vNmjWxsrKiXbt2FPr/YnA3btxgw4YNREZGcvToUcqXL2+SAhtCNjl9nnQdHfRxs0tSgVBSNRoJNeHo0p8nXdeWJLd375Q1j/btU95fuQJ6rAO36eomvDJ4USFHBf3yffhQWa7gzRs4fPjzbSuVpHQqRUc5eXt78+DBA06ePEnWrFm19r148YIqVaqQK1cuDh06ZEw2RpEBzefLkNFBxgyTNubzLr31v0kx//0HTZvC3btKLcmSJUpwk4B3Ye/o+WdPBlQcQOWclQ3LMyQEpk9X5rIJD1ei0H//hVKlDLwISZKSgz6f3wmv4KYjX19fevbsGSeYAciSJQs9evTgzJkzxmYjSfHKkQNq1tSviadrV3jwAP75R/nXVHO+SAbYuBEqVlSCGS8vOHUq0WDG97EvpRaVYsv1LXTe2ZlodbR++QkBGzZAwYLKQpbh4cov0MWLMpiRpHTO6D40ZmZmREcn/EclJiZGa64aSUoLDB0mHV8fGznbrwGio2H4cPjtN+X9N98oi0u6xt+RVy3U/H76d4YfGU60OprcGXOzofkGLMz0+BP27JmymKWPj/Ley0vJv2lT2dQkSZ8BoyONypUrM2/ePB4+fBhnn7+/P/Pnz6dKFQOGTkpSGmRvH/eVPz8sXqwEMfChGSt/fu3jpP979UoJYGKDmeHDlb4zCQQzb0Lf0GhDIwYfGky0OppWRVpxoccFyriX0S/fTJmUvjp2djB5Mty4Ac2ayWBGkj4TRvehuXjxItWrVyc6OpqmTZuSP39+QFkSYdeuXVhYWHDixAlKlChhkgIbQvahkVJCcs32+1k5dw6aN4dHj5ThZytXKu8T8CToCRWXVeRx0GOsza2ZVXcWPcv01G0UU2Sk0mHq++/B2lrZdukSuLnJqjNJSidSdB6aUqVKcebMGUaPHs3u3bsJDQ0FwM7Ojrp16zJp0iQKFy5sbDaSlObJ2X6TsHw59OoFERFK9dWOHZDE3wZ3R3fKupfF1sKWzS03UzJryaTzEUKp8Rk4UBlHHxysjGQCKKnD+ZIkpUsmnSlYrVbz6tUrANzc3NJM3xlZQyNJqczfXwliIiKgUSNYvRqcneM99FXIK2wsbHC0VmblDQgPwFxlrnmfqJs3lUDmwAHlfZYsMHMmtGtnqiuRJCkFpdgop9DQUMqUKcPChQuVxMzMyJIlC1myZEkzwYwkSWmAhwcsXAgTJyo1MwkEM8ceHKPEwhL0/LOnZnHbDDYZkg5mAgJg0CBl7poDB8DSEoYOhVu3ZDAjSV8Io5qc7OzsuH//vlycUpKkuE6eBFtbKPP/zrudOyd4aIw6hiknpjD+2HjUQs3F5xd5F/4OF1sX3fLq1UsZjg1KDdCMGcqUzZIkfTGMrkapW7cuBw8eNEVZJEn6XOzdC7VqKaOI/t8MnZDnwc+ps7YOY4+ORS3UdCrRiX+7/5t0MBMT8+HnsWOheHGldmbXLhnMSNIXyOg+NDdu3KBly5aUKlWKnj17kitXLmxtbeMc5+Ki4zetZCD70EhSCgsMhHLllNqZpUsTHLd+5N4R2m9vz4uQF9hZ2jH/2/l0Ktkp3mM1/P2V5qQMGZRmrFhCyCHYkvSZSdGlDz7uK5NY01PMx9+mUpgMaCQpBbx6pcz1Evt34NP3nwiPDifvH3l58v4JRTMXZXOLzRRyK5Rw+qGhylIF06dDWJjST+bBA3B3N/21SJKUJqTosO2xY8fKPjSS9KU7fBjatFFWy+7TR9nm5pboKTYWNqxpuoYNVzcwq+4s7Czt4j9QCNi8WRl6/eiRsq1GDZg1SwYzkiRpmHTYdlola2gkKZkIodSajBihrP1QqRKcOPFh2uRPHLhzgJDIEJoXTngyPS337inLlp88qbz39FQ6/DZvLpuXJOkLkKKLU/r7+xMWFpbg/rCwMPz9/Y3NRpKktCY4GFq3hmHDlGCmSxf4++94g5lodTQjDo+g3rp6dN7VmTtv7+iWh7MzXLumjJaaOFFZrqBFCxnMSJIUh9EBTa5cudixY0eC+3fv3k2uXLmMzUaSpLTk1i2oUAG2bFH6sixYoCwzYGMT59BHgY+oubIm03ymAdCxeEdyOCUwpXJkpNK8FFtx7OoKmzaBnx+MGaMENpIkSfEwug9NUi1WUVFRcpI9Sfqc7NkDHTpAUBBkywbbtilNTfH489afdNrZibdhb3GydmJpw6W0LNIy/nT371dm+fXzU9ZeatxY2f7118l0IZIkfU4MCmiCgoIICAjQvH/z5k28zUoBAQFs3LiRbNmyGVxAKfU9fqwsiZMvn1yr6IumVsOECUrTD0CVKkoNTTz/v4UQDD00lBmnZwBQJlsZNrXYRB6XPHHTvXVLCWT27VPeZ84M0dHJdRWSJH2mDApofv/9dyb+/4+aSqViwIABDBgwIN5jhRBMmjTJ4AJKphcSovuxq1ZB377KZ5mZGcyZo/TR1EUCU49I6VFAgFIrs3ev8r5PH/jtN7CyivdwlUqlGf3Yr3w/fvn6F6wtrLUPCgyEn3+G2bOVAMbSEvr3h9GjE1waQZIkKSEGjXI6ffo0p06dUr6FDR1K27ZtKV26tHbCKhX29vaUKVOGsmXLmqzAhpCjnLSlVH/Kz3/83Bfi6lVo2hTu3FH6yCxaBB07xntoRHSEJnCJioni2MNjeOf2jj/dGjXg+HHl5/r1lUUk8+dPjiuQJCmdSvZ5aCpVqkSl/7eZh4SE0Lx5c4oWLWpIUpIkpXXPnyvDpz09Yft2+OTLCyiBzNBDQzn39BzHOh/D0twSS3PLuMHMx7P5Dh8OL17A779DvXopcCGSJH3O5Dw0XyBdm5yePIFChZTmpljm5nD9OmTPnvT5ssnpM7Jli7I2U6ZMcXbdfXuX1ltbc/7ZeQD2tN1Dg/wNtA969EgZ3l2unNJfJlZ0NFgYPTZBkqTPVIrOQyOlP/b2ur3y54fFiz9MK2JurrQ25M+v2/lSOvX6tbKo5O3bH7a1bBlvMLPl2hZKLy7N+WfncbF1iRvMhIUpnYgLFFBWw/75Z+2IWgYzkiSZiPxrIiWqa1eoU0fpPpE3rxzl9EXo2xd27ICnT+H06Xg7XYVHhzPo4CAW/LsAgCo5q7Ch+QZyOudUDhACtm6FwYOVxSQBqlVTOgDLaFeSpGQgAxopSTlyyEAmvTDJEPuZM+HZM5g3L8Ee5D329GDNlTUAjKg6ggk1J2BpbqnsvHEDfvjhQ4ffnDmV5QpatpQz/EqSlGxkQCNJJqTPkHhTM3iIfWQk5gf2EtOoqfLeKRvsPar8nMD1DCo7mpMPffjdez7eueoQGQ6R/9+nChHY+fgos/oOH67U0tglsPCkJEmSichOwVKakt4n8UtvFRBZecYWWlIVH9qwgU20if9Ay1DI9Tfc+qh/jFk0qC2wIIqqnOQotTS7xOo1yrBsD49kvgJJkj5nqd4pODQ0lIsXL/L+/fs4+3x8fJIjSykNCgnR7zV/vjIyuHZt5d/58/U7X9JPJU5xnjJUxYcAnHmPY/wHZroB3SpA20bg9c+H7WoLvuEgVyjOYbwpyn8f9n33nQxmJElKUSavoTlz5gwNGzbEysqKd+/eMXLkSEaPHq3Z7+TkRFBQkCmzTJKsoUkdKV1bkRbqGlMrsNJriL0QWCxZgNWwAaiiolAXKkL4hh2IvPnipLvu6ioGHu5FaHQome2ysKLBBmp41EJ15zZWI3/CYt8eJclMbkQsWklMnW8B2e9XkiTTSPaJ9RIzaNAg5s6dS+vWrbl9+zbfffcdt27d4n/t3Xd8zPcfwPHXXbZIEFuMWFHUqFlNtWZVS4sWtRVVP6PUqtEirTZKi2rVKqKqRc22aKnaahe1V2xiVSKJJHL3+f1xcnKZt5LLJe/n43EP7nvf7+fzvq/Ive8zFy1ahEajyXAzSyGcmaM+yBOn2L/7Luh0plPsTTx8CP37Q2io4XmHDmjnzydP3rwmp0XHRzNg/QAWHVkEQJOyTVjSbgnF9HkgeCRMnw6PHhmmXb/3Hppx4/CU7QqEEA5k9xaa/Pnzm2xcGRsby5tvvomrqyvLly+nYMGCqXZFZSZpobEvc8e5JG+tuHbtyfTv5K0Gti7iB9IqAIZ/mzSn2F+6BG+8AQcPGkYNf/45DBuWoint2K1jdPi5AyfvnESr0TLhxQmMaTgGFzRQtSqcOmU4sWVLwyq/lSplzZsTQuQ6Dh1Dky9fPq5du2Z87unpyZo1a/Dy8qJFixbok35iiWzNknEut24ZHmmNaVm0yJCwvPqq4c9Fi0xf9/c3zMqxdhE/Z0pmrl6FLVsMf9pbyZLQqFEqyczmzVCnjiGZKVgQNm40zD5KpV9wz9U9nLxzkuJ5i7O5+2Y+evEjXLQuhiTof/8z/KOsW2fYHVuSGSFENmH3FprevXtTtmxZk3EzYNh1u2/fvsyfPz/LkxppobGOo2fsZJfeSXuOi7Fl9/L0pJnQKWVYA2bUKEOltWvDypWGbDTNSxRT/55Kj0JNKfTxF/DWW9Dq8eymhARDOWnssi2EEPZkyee33ROa+Ph4EhISyJPGuhOXL1+mdBbPfpCExjo5LaGxdkq4o++DOa5cSeM99e4NCxYY/t6zp6FJzcvL5JQjN48wYtMIlr25jAJeBQzjbL78EkJCICbG0CJz4sST5jMhhMgiDulyio6O5saNG8THx6eZzABWJTMhISHUrVsXHx8fihQpQps2bTh9+rQt4QozREWZPk6fNrQqJOXiYjgeHm54JL8mo+tSOz/xYQtrpoQ7szJlYPBgOHPG9D3FvtgC5eZG3NSZhsQmSTKjlGL2gdnU/64+my5sYtSmDwytN1WqwEcfGZKZoCD48UdJZoQQ2Z5NLTQXL15k8uTJrFu3jqtJBgT4+/vTunVrhg8fTtmyZW0O8uWXX+att96ibt26JCQkMGbMGI4dO8aJEyfwNmPwhLTQ2M/8+Sln0vTunXnXJWVJC4s1rSpp/U+wV7KT1sDnAwegRImU5xctal09HjwkjieJS2kucZkyJkliRFwEgzb2ZdXp5QD0c3+Baet0eCauE1WyJEyZAh07OkcTlRAiR8qSLqe1a9fSrVs3oqKiCAgIoHr16vj4+PDgwQOOHj3KxYsX8fb25ocffuD111+36o2k5fbt2xQpUoRt27bxwgsvZHi+JDS2SW220vnzUL68+TOQzL0urZlQGY09SX5dslnIZrG0VciagcipJXZ9+lheTnpcSKAgd7hFsdRPKH4Q2ncAvwugc4U/J/Hq34H8xms8xBOvcSNh5EjnGmkthMiRMj2hOXHiBLVq1aJcuXLMmTOHhg0bpjhnx44d9OvXjwsXLnDw4EGqVKliaTVpOnfuHBUrVuTff//l6aefzvB8SWhsI1/QU2dt22byqdWZcX/bsYJVvJnyhYrroGM7XDXxVLlQnKPbVsHVZwHFB3zOT3Tikkp7wLAQQmSlTE9ounbtytatWzl69Ch+fn5pnnfv3j2qV69O48aNWbx4saXVpEqv1/Paa69x//59du7cmeo5cXFxxMXFGZ9HRkZSqlQpSWisJAlN6iz9n5NWl5m1XVpJW62SctHqOXFSm2or2L2H9xg19ilC1sVSMkrLw8NnoXBhk3OkYUYIkV1k+krBW7ZsoU+fPukmMwB+fn706tWL+fPnW1NNqgYMGMCxY8fSTGbAMIg4ODjYbnXmdrYO0E2PNV1D1oiKsr6rzFKpJSgZdZlZk0T07w+vaX/jq2VFmbq9Lnp9YjeW1mSF4LN3z1LBrwKa8+fxHjaMJb/cNrxQqBDel09CQOHUKxBCCGeirODh4aEWLFhg1rkLFixQHh4e1lSTwoABA1TJkiXVhQsX0j0vNjZWRUREGB9XrlxRgIqIiLBLHMJ+oqIMj9OnldJqlTK0exgeLi6G41FRSs2caXieeHzmTPOuS3xkpaSxmPuw2KNHSo0YYbhYq1VX1h5UW7YodeXKk1P0er36cveXKv9YF3W4x8tKubsbznd1VWrIEKX++89O71gIITJHRESE2Z/fVrXQFCpUiLCwMLPODQsLo1ChQtZUY6SUYtCgQaxevZqtW7dmOHPKw8MDDw8Pm+oUWSOxZSKjvYj694fXXku5rL/ZexjlJHfuGBa727zZ8HzYMEq+Up2SSf433425S8+1Pfnr2G+c+gZKRf5ueKFFC8N2BZUrZ33cQgiRiaweQ7Nlyxb+/fffDMfQVKtWjcaNG/PDDz9YHWT//v358ccfWbt2LZWSLLWeL18+vJItEpYaGRSc9axdxC7dvYgy4brMkNqssIz2qTK7y+nQIWjXzrAvk7e3YW2ZDh1MTtl9ZTdvrXiLK5FX8HDx4MCR+lQ9fB3NtGmGvSdkUJQQwklY9PltTRPQ8ePHlYeHh6pataratWtXqufs2rVLPf3008rDw0MdO3bMmmqMgFQfCxcuNOt6S5qshPmSdukkfcyc+aQbSKt90j2U/JGbfPedaZfZd99ZUUhoqFKenoZCKlRQ6t9/TV7W6XXqm9Vj1KIaGlWlP6rijIrqnxv/KBUZqVRcnF3ehxBCZCVLPr+tXodm1apVdO/enYcPHxIQEECNGjVM1qEJCwvD09OTRYsW8eabqUwfzULSQpM5bP2in132akqLta1M6ZVnVStSfDwMHQozZxqet2oFixdD/vxPzomN5dqEYeSb+i15H8HRGsUou/cMPh4+tgcuhBAOkmV7OV24cIHJkyfz22+/cf36dePx4sWL06pVK0aMGEGFChWsLd5uJKHJHNk5obE0GUltd/CMNpHMkunNN25A+/aQuILv+PEwbtyTvSSUgjVrYNgweDyuLbxGeYrM+wlN3bpZEKAQQmQeh2xOGRkZyYMHD/Dx8cl2SYMkNPaV+OGfPAlYsgSGD09lXZRky/snJgLWJgQZrdtiyY7WiTHYc6sEu9m9G95805DU+PoabnDirteA7shhrvR6g4BDFwwH/P1h8mTo1EnGyQghcgSH7radHUlCY1+Obpmx52d1YizZLqG5c8ew42RMjGGzyDVrDM1Nj4VHhbOqb0P+99NZ4lw1uI4chcuYsbIqnhAiR8n0hfWEyEr2HsuSmqSLB5ozKynTFSpkaG3ZuhUWLjSsQJiQAFevsll/ni6runCvfDiqgStFPgzhzVeGZ1FgQgiRPVmV0FSvXt2i8zUaDUeOHLGmKmFH9to1Ojw85bHr16F2bfN2ks4ojqSvJ+3G0mrhiy/gwuMeltQaIyyJI3ldSTe47NTJUHeit95KmczY634m0ly5DNHRqKcerxHTo7/hodGg/W0z7iMHc/fBTV7peZd4V6hctCr1flpO5UJV7B6LLaSRSAjhCFZ1OTVq1AiNGW30N2/e5PTp02g0GnQ6nVUB2oN0ORnIsIrsqw77Wc8r3Cc/ddlPBPkBKMd5vmA4bVkDwB0vaNoDjl7rA79/BY/yOC7oNOT8TmwhRFbJ9C6nrVu3pvv6zZs3+fzzz5kzZw4uLi5069bNmmqEFbLTN3VhvjDKEo03kfiSlyh0uDCaEIbxJR7Ek4ALM6sWIrh5FP9tngv/dnZ0yEIIka3YdQxNeHg4kyZNYu7cuTx69IiuXbsyduxYypcvb89qRDqyarNHkT6zNvSMiwPjFh2F0Jz/k8Il/Dnz3z08X6iE9uYNAHRNmhP/+XReKuHNC7pYAidWSrtMIYTIpeyS0CS2yCRNZD788EPKlStnj+KFyJAtO4KnNgg4cZmXxB2sZ8xIe+p3ajIcR3LuHLRtC++/D716GY5Vf7xmU8ESxD5VgTv6//hzQEt6frSSPBoNsvuSEM4jKyYzCFM2JTQ3b95k0qRJzJs3j0ePHtGtWzc+/PDDDDePFJnH2g/21LqqUhuQ26WL6Tn372f+jKBr1+D8eShfPu0ybRmImtYGly1aZNL+UOvXG27k/fvw8cfQpAl8/jlMnAgFC7Lu7HpGPH+M88/H4uX+F6/G3KGwd2E7BiCEc3KWLnVL1sLKTpx9QL9Vg4Jv3LhhTGQSEhLo3r07Y8eOzbaJjAwKzpi1A4aVgvnzUyYDvXvbN76skHRrAsiEb1d6PXz6qWG1X6Xg2WehcWP4+muuRuXj1OvDWdE+ijnnPgKgVvFaLHtzGRX8HL/athDZgUxsyFzZcUB/pi+slydPHuLi4qhZsyZjxowxK5GpVauWpdXYjSQ0GbP2F0Vii5A5rSiZIelU67TqtfRbnTktU+lJ9VtORAQefbvjuu4XABKav4z27Gm0F8OYTy/6Mhc9LqDRQeu+9OvtzacvTsHD1cOkGHPer8iYs38Tza0koclcuTKh0SYOMIAMp28rpWTathNI/qGf2rgSYZ3KnGA1banEGeJw5xwVqMoJAPZTm3rsA7RJrtAney7sLTv+4hYZc4Yup2yxMKeVsmOin+nTthcuXGhVYCL7Sv6DnDiupE8fx8STU7zBCkLpSV6iuUwp9lOXN1hFLB58wXA+ZSwpkxdJZoRITXb8wE0urTF5gYGOjiznk72cBJD2N5+zZw2bOJctm/pKu7Z2zyQqWtTya7IzLTo+ZSyj+ByAzTThLZYCMJWhjPftTZiPF1yr78gwsz1bZq+lxxk+GIVzSzomT2Y5WU82p0xGEpqMObpvOukHlznNytOmwaRJpscS34NShuRq/Hh44w3DsTx5Un6IpfWhtmgRvPfek29Xlk7Z5u5dPHu+hcuWPwHQlynLwyNnwNXQILr69AoG/NGbPG7e7O5+mA0rimRYnzM3Y9tCEg8hcjdJaJKRhCZj2SGhSRzw+uqrmVOHJT/pNn27Cg2Ft99+8tzPD44cIbZYIYb9MYxvD3wLQIOSDfi5/c/4+/qbVV9OmU0mhBDmkoQmGUloMpa0VSSnrjac6T/pUVGGZqMvvjCsAqzVQv/+EBzMWXWXDis6cPjmYQA+CPqATxp/gpuLm0VVSDO2ECI3yfRBwSLncfamfa3WkLAkTVqS7rKdqe/v0SP43//g11/h1i3DsaZNYfp0ePppfvr3J/r+1peo+CgK5SnE922+p2XFllZVVbKkJDJCCJEaSWhECpYOxExvDZr0xn5UMnNLotTiST7OZc4cw/HkXTI1a1r2XqwyZIihP8jDwzB6eupUeP11Yz/eL2d+ISo+ioalG/LTGz/h75s1g15k6XUhRG4iXU4i06U19iOxmyujAa9pta6k1v2SZV0yN28aRu8GB8ONG4btC4YNM4yd8fQ0OTUyLpK5B+fyTrUhuGot/w5hzWJ6jlx63dlb+4QQ2UeWj6GJjY1l5cqVHDp0iIiICPTJVmPTaDTMnz/f1mqsJgmN42WUaDjNgNe4OENXUnAwPHwIX31laCpKSDDOYlp8ZDEbL2zk+zbfmyw86eiB11kl539FEkJklSwdQ3Pp0iUaN27MxYsXyZ8/PxEREfj5+XH//n10Oh2FChUib04dZSrMltHYj9697bsZpKUrimbYCqIULht+w/2DIWjDLgCgK1+R+Or10UcDuBL9IJphmwfyw/FQAF4q8xrtKrW35W04pehoaaURQmQ9mxOaESNGEBERwZ49eyhXrhxFihRh2bJlBAUFMWPGDL755hv++OMPe8QqcriMkh5LkhR75tCVOcE03qcFG43H9GgYdr4/XzV+vDBe4ePQvgMUOQF6LWydQPfgdnTPha0VefNKK40QIuvZnND89ddf9O/fn3r16nHv3j3AsH+Th4cHI0aM4OTJkwwZMoR169bZHKxwLvYelOqohr7pDOElNqEADXCPAnRkGX/SHFDwzAJ4ZRC4PYQHxWHFT3DpRccEK4QQuZTNCU1MTAwBAQEA+Pr6otFoiIiIML7eoEEDhg8fbms1IovYa/M3Rw5KtQd3YonHE1AcpgbN+BMtin+oSTtWcZHHO8w3HwlBXxj+fu4lWL0YooukWmZGs8dSGxyt0Rgeer3lqxY7agd0IYRwBJsTmtKlS3P16lVDYa6u+Pv7s2fPHtq1awfAiRMn8Ew260NkX5nRCqLXw4ABhoet7Lm3z7VrsGePYWKSyQwrdJzq9hlFvvgAj4Hv4PrzTwAkvNWVwBlzOJYnj/HcPdfa8uryrxn93HiGDvsA7ey0N5bMaFxJWpvaWTu2KDBQNsQTQuQeNic0TZo0Ye3atYwfPx6Anj17EhISwn///Yder2fx4sV0797d5kCFsFR6A32TtiBpNKDVKPRKgwsJzOFdAn5bgzqwCu3J4yhXV+JDppLQbyAKOHvvNIF+hkV0nvV/juPvhFEsb/EM48mo9evaNSheHP76y3Bu0paVunWtuAEWkDVrhBDOzuZp25cvX2b//v20atUKDw8PYmNjGThwICtXrsTFxYVWrVoxY8YMh06Xlmnb5ncl2dLl5Mw7ZmtJYCmdqMdejlKdhuwkPxHcpCgdWM4OXgCPSGj9DlT6Febuh9tVszzOC4YJVum29lg6wyg7dQ/K7CghRFKyl1MyktDknjVQbPEl7wMwhK/QovibZ3mTFVzHH4ofMsxi8jsPOlf4ZT4ckZZHe8v5v42EEJaw5PM77Q5/M8TExFC7dm1mz55tSzFCOJwGPcOYylFqoEUxm3dpxFauUwLqfQO9GxiSmftlYOEOSWaEECKbsWkMTZ48eQgLCzNZDVVkT/YcTJsote6pJUtg+PAn3RdffAFdupiek1q3gqWDkdN7P2ltpXBy2y1K715KQv/3ku0FpZgxQ/u4m6UnD/cE0u3Z52gde5/+f3Tml7OrAGhVoQ2zXl5AgYkFLAuW9Lvyrl+H2rVTxrt9u2FMTWrs1eWU0bYTQgjhNJSNOnXqpNq2bWtrMZkqIiJCASoiIsLRoeQoT/a3tuyRmqioJ4/Tp5XSak2vcXExHE88JyPffWe4xnCtXn3XfoNSPj6GAxs2KKWUunJFqS3B29SVwCZK3bqVoowpu6YoJqDcPnZTX+35Sun1eltulwXxGp5nFUfWLYQQ6bHk89vmMTQnT56kffv2PPPMM7z77ruULVsWLy+vFOf5+fnZUo1NZAxN6myd2WJtw1xaP3FJ4/njD9v3drp6RXHuhz1UmDuSkhd3Gg7WrQvffgt16kB8PFSrBmfOwMiR8PnnJtfr9Dp6/9KbAXUHUNc/k6cZkYUba2azuoUQIi1ZOihYq30yDCe9riedTmdLNTbJrQlNet0clsxs8fZOvazkx9LqOjlwAEqUMC3PnHiaNbN+YTjN6VO4j3of102/A6AvUpRHH08ioXN30GqfxHD8OCxeDBMncu9RJCE7QpjYZCIerh6WVSiEEMLusjShmTBhglljaBLXqXGE3JrQ2Gtok1LONUtKg54TVOEpThOHO9N4n88YwwN8qcFhqnOU75XpoN7dV3bz1oq3uBJ5hcH1BzP95emOCV4IIYRRlu62PWHCBFuLEMJmWgwtgHpcUGgZxSTeZiHD+JLzVACgM0uYxzu48Qh2lYegIPRKzxe7v2DM5jHolI6KfhXpWbOnA9+JEEIIa9ic0CQVFRXFlStXAChVqhR5HbWboAAgPDz14+Z2DSWKjk5ZljmzmcyVUTwZzdrR7tyO+8jBJPR8h4S+/R8fbQO04QjAo0e4jx2B27dfAZDQ/GWoXJnb0bfpsaYHG85tAKDT052Y02oOPh4+1r0RO5PVe4UQwnx2WVhv//79jBw5kp07d6J//Kmk1Wpp2LAhkydPpk6dOjYHagvpcnJuaf6EXr4MI0bA8uWG5+XLw+nThmwoUXg4dOhgmAMNMHYsBAez/+Yh2ixrw/UH1/F09WTGyzPoU6uPXZYgsMcGn5mxeq+swiuEcDZZOoZm7969NGrUCHd3dzp37kzlypUBw+ynn376ifj4eLZu3Uq9evVsqcYmOSmhseTDMqc0kKX4CY2JgcmTDbOSYmMNn/h9+8LHH0Phwk/O27sX3njDsNiKjw98/z20aQNA2H9hPDPnGYrlLcby9supXrS63eLNromkrMIrhHA2WZrQNGvWjIsXL7Jz506KFStm8lp4eDhBQUGULVuWTZs22VKNTXJSQpNdPywtZclCf4ktC1evwtllh6j4xbuUvHnAcPDFF+Grr6BGDdOL5s2DgQMNU7OfegpWryamfGnyuD3ZKXvv1b1ULVKVvO72zfyy67+RJDRCCGeTpYOC9+7dy7hx41IkMwBFixalb9++fPLJJ7ZWI3KY5N0f6bU8RUcn7YKphZY9zPYbTbev6qFr84Yhg0i8Pi4O92GDcAudZ3jerh2EhvLXnf10ndGE+a/Np2XFlgDUL1nf/m8M21dlltV7hRDCcjYnNFqtloSEhDRf1+l0JmvVCNtkxhYGYPgQrVTJ+uvTiuvatScLtqX3YZxW91hhblGXfaynlfGYHhf63vucvt1Mm0L8ucpK3qA++9CjQfvZp+hGjuCTHRP5eNvHKBSTd0/m5QovZ+p2HbaOVQkMhLlzUy4sGBhon/iEECInsrnLqWXLlvz777/s2rWLMmXKmLx2+fJlgoKCqFatGuvXr7cpUFvkpC4ne0reKmLLmJvUEhpLBrYmr9uNeAbyDeMJZh91eYk/063fmyjOEEgJbnCPAnTiJ0Ijq9N5VWe2XtwKQO9nejOj5QyTbqfsTFbvFULkdlk6huaff/7hhRdeICEhgbZt2xL4+Gvk6dOnWbt2La6uruzYsYMaycc4ZCFJaFKXXcd6tGQ903ifSpwBYB0tacU6IP2A4yZOwWXZEuJ+XMWfmnP0Wd+V2zG38XbzZk6rOXSpbuW8ciGEEA6RpQkNwIkTJxg7diybNm0iJiYGMOzE/dJLLzFx4kSqVKliaxU2yakJja3Tg7PbLKhATjOGTynNFSpyFjceMZoQQumJImW3pRcxFOIOVygNQNQDBXFxnE84Q83ZNVEoahStwfL2ywksKP01iWR9GyGEs8jyhCaRXq/n9u3bABQuXDjbjJ3JjgmNPdYqyW4JiS28iCGEUQxlGnpc0KDHnTjiSLnRKUBpLrGW13HjEc+yhyieLIYXHg5DtvTGw8WD4Oem4unqaXJtZq/HYk359vh5MEdmrG9jDlkDRwhhDYclNNlVdkxosmt3T9bSQ5KWFw36VFtiUlOUmxyiFi7oeImNHK1wA67XhpjH69BodKBc0i8kk1jzPyqn/zzk/N8yQojMYMnnd/ZoQsnA9u3bad26NSVKlECj0bBmzRpHh2SV6OgnD6HoxQKasSnJkYx+HJ98KoZTjFb8Rm3NHo42XwJdW0K7bqB5PNfZQckMmP47J38IIYTIHBZP29ZqtVZNedXpdBZfkyg6OpoaNWrQq1cv2rVrZ3U5jpaTuohsp2EBvenPTP6keYZn+xBJKD35mfYspRMA/+QrCG++BaX2GE66G/i4ZcaxeXp6/85ptVRk1nT8pGR9GyFETmZxQjNu3LgUCc3q1as5fvw4LVq0oNLjxUxOnTrFxo0befrpp2nzeLl5a7Vs2ZKWLVvaVIbIjjR8y4AMz6rEKVbTlsqcohFbWcerPKi0Bdq8DV7/QWw+WLsATjpvspsVY0xkfRshRE5mcUIzYcIEk+dz587l1q1bHDt2zJjMJDp58iRNmjShRGpbOGeiuLg44uLijM8jIyOztP60JP8WnhVdEPbcFTsx3nLlLL1Sj4a0upTSb+0LYgfzeIfKnOYq/ryhXcqD5uOhwXQA6hSrR2irpQR8WNbSoDJk7qKAzqR3b2jRQta3EULkPDYPCq5YsSJvv/02Y8aMSfX1Tz/9lNDQUM6ePWtLNUYajYbVq1en2+ozYcIEgoODUxx35KDg1JKXnNwFpdUakqmHD6HqxXX8+/Eq3mFeiqTGxcWwEXbx4qbXL1uqZ+xY0CstWnR8U/YLXlnak4h8Xry2rhaXHpynX42hjK0fgruLe4bxmJs8ensbHrbMBpIZPUIIYR9ZupfT1atXcXNzS/N1Nzc3rl69ams1Fhk9ejRDhw41Po+MjKRUqVJZGkNyOTl5SUlRXn+WTp0S+zJe4W3C8SCO2GTTsHU6CAoyvTof/xGJLwrDwF49LvQPGwn1H7fmFF8OPteYPaE1szP5nYAhqRkwwPAwh8zoEUKIrGfz6Mmnn36ab7/9lmvXrqV47erVq3z77bdUq1bN1mos4uHhga+vr8lDZB0NOt5hDl5EGY8spFeKZCY11TnCTAYYk5mkpRrdqAVnWtstXntLb5aTzHgSQojMYXMLzbRp02jRogWBgYG0bduWChUqAHD27FnWrFmDUooffvjB5kCdXVbMYkkuOtrQ7TNixJNBoFOmpD2GpmhR+9SrcGUkX1p8XSd+5Dv6cA8/tOjQmyQ1iozG22QX5rbGKSWr9gohhL3YnNA8//zz7N27l48++ojVq1fz8OFDALy8vGjRogXBwcE2t9BERUVx7tw54/OwsDAOHz6Mn58fpUuXtqnsrOKIcRXJP1h1Ohg61PDITlx5xGRG8j7TAdhBVTyL7SIm/DlQrjhTMmOJadPsN2Dbnpx9DJCzxy+EsI5TbH2wdetWGjdunOJ4jx49CA0NzfD67LhScFbI/NVn7ZNoNOVP41o0n2pGMO6V/9DX/Q4i/GHnKNg/0OY6RO4hY5iEyDmydFBwUjExMcTHx6OUSjEQ2JaWlEaNGpFddmhIb+xDdhsXceHCk78vW4Zh1tDj1oBPP4WOHa2Zgp2UJknXkPXJzWaaMZ4JHNVUYc07k6DEIVAaOPw2HOhnS4BCCCFyCZtbaGJjYwkODmb+/PncvXs3zfNsWSnYVokZ3okTEdy86WvTeIWcvudOehqwmymMoCehnKMiAK7Ek0DG06aTe4Of2U0QN0i2RtHzk+DZ6bDqB7jQzA5RZy/h4YY/r1+H2rVTrtp74ABk8bJNKSTvssmMRN2e6yMllzR+6X4Swrll6eaUvXr1YtGiRbRp04aGDRtSoECBVM/rkRVb+qYh8YZoNBEo5WvTLsO5a/r1Exp0XKYMJbnGUjrSiaVWl9WSdaynFbtpQCPXdTzyjoSIMo8r0oPX3SebTOYwSf+3zZ+fctXe3r0dF1tanDmJzyYNu0IIK2VpQpM/f346duzInDlzbCkmUyXeEIgAnHcMTdIuJEvcuAENG6ZsDUhc0O7GDbh4MeNvyMOYQiXO8CET2XPhyZSo1MoHGDUK+vZ9cs6lS+DlBXFh13g2+GXiujahdblN4KJl9Sv78HLNY/W362vX4Px5KF/edFVfW1b7TatMWyR/T1evZv9VeyWhEUI4SpYmNAUKFGDSpEm8++67thSTqXJKQpO1UhsTY/04meJcT9a9pIcmYw0bS3pEwppFcOtpk2tsnepuy2q/WcUZukTs3eWUlZtkOsP9FUKkLUsTmp49exIdHc3PP/9sSzGZKrWExhl3Gc7K7q567GEfz9qhJMUgvmYw06nAeUwTosQEKWdOyzZHbm1BcJbuNiGEY2VpQnP+/Hk6dOhA7dq1effddyldujQuLslXeQU/Pz9bqrFJ4g3RaiPQ632d7hdo4jfk1L4p22sxvOTcieUR7mlsKGkeL2KYw7t04we20IgmbLFjhDmDIxZctERmtnA4Q3ebEMKxsjShSbrWjCadzvbsMsspPNzX6X6BZu4YhuStI/ZpLQkgjFn0w4N4ynKBT/iIBbwNKbY0ENlZbm1BEkJkD1m6Ds24cePSTWSyE39/Q999duHodWuas5GGbCeYCehwRYsOXyK4j22tac3ZyKv8xqusN12jxuM+xPuAkqRGCCGEfdl1peDsypwMzxHJhSOngH/CWD7kMwCOUI2xfMp6XkllU0hLKEYxif/xLWW5mGwvppwru3cb2UIG1QohHMlhKwU7s9y0vowLCfRkEY9w5WsG8THjiCC/TWXm5QGh9OQNVrGFRrkmmQH50BdCiOzALglNbGwsK1eu5NChQ0RERKBPtiCJRqNh/vz59qhK2EwxjC/5l2o0409O85TNJQZymtW0pQoniceNedU84Jgux3Yt5eQWGSGEcFY2JzSXLl2icePGXLx4kfz58xMREYGfnx/3799Hp9NRqFAh8jpB80d2/pCytDsstWX1tVqFXq8BNHxLfyYzEnsM/n2NtSymG7484Kq2CG++6cLeKn+A5gc42t0udWS18PD0W12kRUYIIbIfmxOaESNGEBERwZ49eyhXrhxFihRh2bJlBAUFMWPGDL755hv++OMPe8SaqbLzh5SlsRUpAnM//493R/qiUy64kMCcl9bw1oo3H5/hYzzX1lyzBNfx5QHb81ag/TsXuZUvAS43cNpkBgxT4XP+yDIhhMhZbE5o/vrrL/r370+9evW4d+8eAEopPDw8GDFiBCdPnmTIkCGsW7fO5mBF2q5ehbNnoWKpWEoun0rvzz6jhcrPOSpSoWNtSn41AlJZdt9Ws+lHBPn4uaQLCfneghNvwOpQnDWZSZS8VSw7J7xCCCHskNDExMQQEBAAgK+vLxqNhoiICOPrDRo0YPjw4bZWk2ult6heIpOdi3FjLufpTTSFatdA89EU4qvXISwGYo4bzs+TB5Ytg7Fj7RGhhp/oDKeAhcXhUkOcPZmBlC1XSbskJbkRQojsx+aEpnTp0lx9/FXf1dUVf39/9uzZQ7t27QA4ceIEnp6etlaT7RlbSCrad9E+S7uE9LjwLnP4hdb8cvB1aJOFycWlF7KuriyW9N9BuqOEECL7sTmhadKkCWvXrmX8+PGAYW+nkJAQ/vvvP/R6PYsXL6Z79+42B5oZ7LX2jKM2QfTjLqC4RyGT4zpc+YU2mR8AAHqwYXsEIYQQwh5sXljv8uXL7N+/n1atWuHh4UFsbCwDBw5k5cqVuLi40KpVK2bMmJHhgjiZKa2FeZxhgeMLFwx/xsQ8OVbj6QT6MZuPGcdK2tGX7zIxgvS2QtA/fi373shjxwx/rlwJwcFPks7x4yEoCF56KeWuzwcOQIkSqZcHubfLKbe+byGE42TpXk7OwJkTmuSa8ifTGcLTGAbEHKE69dlDHF6ZWGvu3Q1bPJHzf1MIIbKbLFkpODY2lrVr1xIWFkbBggVp1aoVxYsXt7Y4h7DH2jPXrhn2h0q2lqDdleM8XzKMNqwF4A4F+ZCJfEcfdJm+4LMkM0IIIbI3qz4Jb926xXPPPUdYWBiJDTx58uRhzZo1NGvWzK4BZiZ7NKEHBsLcufDuu6DTGbosZsx4MoYmvXE6RYuaV0dj/mIDLfEgngRc+IaBBDOe+xSw/Q0k48Ij9LigZFyMRbLzwoxCCJEbWNXlNGjQIGbNmsWQIUNo0qQJ586d45NPPsHX15fz589nRpw2saTJylpXr8K5c1ChQuqznFKbBWX2oOSHD/GqXRlVIZC4z6ejKlcB7L//VHGus5I3cCWB+uxJtlGl47qdtFpYu9aQAIaHw2uvmXZ/aDSwaRMUK5by2tTGzrzxRsZ15sljWcKbWecKIURululjaCpVqkRQUBALFiwwHlu2bBmdO3fmxIkTVKpUyfKoM5ElNyQzdt1ObRbUm2+mfb7rwb14fT+HB1PnGZp8AM2tcFThIiYDf5LG6u1tfotP6hQHqUUtDvOfuysvPNOdY3vnITOY7E/GogghhHkyfQzN5cuX+eCDD0yOPf/88yilCA8Pz3YJjSUye9spvR4GDDA8kivOdUIYTQ++B2Dw0meZR9/Hr9qUrZhBw3kqcMi3IJ+8cYrLxZdBRCs41TaT6xVCCCFsZ1VCExcXl2KxvMTnCQkJtkeVy3gQy/tMYyyfkhdDs8sC3uYXXsuyGLTo6MBSiHSBUB3kuQ3RqfTh5BIZbVAphBAie7F6eszFixc5dOiQ8Xnidgdnz54lf/78Kc6vVauWtVVlKXsP7kxtFpRxrZPiCvcNa/GZMAyXS4YFZx7VfpYHn86g1TN1aZVKebZ1KyWJgQQUGvQYNq/UocXYvaRcnDqZCQ9/8vclS2DEiNQHbKdHkhkhhHAuVo2h0Wq1aFJZxEUpleJ44jGdTmd9lDbKikHB6Zk/33QW1Jw50Ls3hsEUzz8Pu3cbVnL7/HPo0iXdBXLsuXbOEKbygmYLY5/35uSOpfYr2MH++st08HXyAduZtU2FEEII+8r0QcGLFi2yOKgeWbEXQBocndBAkg/Vgv9RMsAVfHwMLxw8CKtXw6hRZg3gsXTQssn5SqGJuI/K/3i6t16P9s4t5p/bx5g3WqPXP8mWMloxNzoaypWzLBZraLUpW7e2b4fUljyaO9eQEypluO6LLwz5YVImG3mmcU5my86tP9k5NiFE7iMrBSeTHRIaEhIMn7gffQR9+hg+ebNAYotOXh6wgF6U154kqFNBYjdPh5vPZEkMwnnk/N8GQghnYsnnt8zJzQp//QXPPGOY2nTvHmzebEhwslB+7vOiyyae5jjPuWyH1u9iWFtGCCGEcH6ZvWZ+7hYWZujfWLXK8NzPDz75BPr2BdfMvfWJXU3h4RCvi2finmm8+UsEj1wgtnZd9jVfRpmJhuYbew00FqlLOkgZpFtHCCEygyQ0mWXlSsPgjLg4w8CP/v1hwgRDUpMFfPLqGcfHHM5TnLVd5oP/fggAdg+F0BDq6dztWl9Gs8OuXYPz5w0f5tHRUL48+Pvbp+609tOaOBHeecf0WPJZT1OmpD2Gxl7jbby9JYkRQojMJmNoMsu1a1CpEjRoANOnQ9WqWVMvwP37/FagK61YR6Q7VHgPbrsUgNWL4Exru1WTNIlx9Ad20plkWq1hiNLw4dlnR/Wc/79MCCHsL0t22xbJ7N8P69YZWmHA0Pxw+LChKSKN7Qoyg+b4MTw7taEV59F7ePJ1pwqUKuvD7Io/E1vdn4AAwwyhxYuf7HGUbnkaw4exi4uhxaNjR8Px5AlMZr+v5JLX37s3tGiR/n5aQgghci5pobHVjRswZgyEhhqe//UXNG6c5umZ2WLQnuUspCfePOQiZWjHKv7xLAdxeUHlrNzV3J9aaxOttBZEPHHCuq4yR7dgCSGEM5IWmqwQF2foSpo48UnfS/fuhm6mLOZCAiGMZgRfALCpUAk63TnAXQpBbJaHk61Ym0gEBhpm2SdfEDEw0L7xCSGEsA9JaCylFPz6KwwdahjlClCvnmFN/fr1M7zc3lsrcPs2bj064L59KwCTgmBshXLol3iDE2yrZff7YUfSjSWEEM5DEhpLxcXBwIFw5YphMEridgVa85b0sWvXw8GDPGrzGm5XrxPlBm+3gUr9xnKv7gRcZxr+adOaAZRdZPeumJIlJZERQghnIAmNOe7fB19fQ9Li6QlTp8KhQzB69JMtDLJaaCi6d/viFv+IM37Qu6cfI3stpUlAc5PT/P0zJ5nZtct0+4GICKhd235jToQQQghLyKDg9Oh0MG8efPihoSWmd+/MC9ISe/YYpoMDvwRCt9oNifx1GUSlssGRnWk08M03hmV1kktzE04hhBDCCrKXUzJWJTRbt8LgwXD0qOF548aGGUzZxXvvcVbzHz++Xo4JzcaBcsmUaqKiDN1We/canjdunH4XTPKdrYUQQghrSUKTjEUJzcWLhqVkV6wwPC9QAD7+GPr1y/TtCtL1998sfbifPP4BvFbpNcPg5MdzwM2ZmpzWNOTgYBg//kmrSnAw1Kr1ZCXf7D7GRQghRM4lm1Naa8ECeOopQzKj1Ro2kzx71jAI2IHJTOz3C0hoGESR3oPptbI71yKvmSxok7i0fnqPxGnILo8bchK7hMaONeRwW7YY/hw7Flq2NJwvyYwQuVtAQADTp093dBgii2zduhWNRsP9+/cdHYpVJKFJqmpVwyymJk0Mq/x+8w0ULOjQkI6GH+XNMxN56KK44w0j6w6huI91Y2V69zZNXhLHt5QsCY0aSReRENlZz549mfB4JXKNRsPFixczvc79+/fTt29fs893xg/ERo0aMWTIEJNjFy9eRPP4S+OECRPo2bNn1gfmAM899xw3btwgX758jg7FKrl7ltPBg4bEJfGTvX59OHDA0Ofi4E2AVEwM807+wODfBxPrFssrQ4vw2bs/0yHgBZvKlWnIQghzFS5c2CH1KqXQ6XS4OrKb30o6nQ6NRoPWzKU8LBEfH4+7u303Fk7K3d2dYsWKZVr5mS13ttDcvGlIYurWNUzXuXDhyWu1azs8mdFt/IP7/gVZ8s27xCbE0rJCS1Z/dJyGNiYzQoicJ7FVZPPmzdSpU4c8efLw3HPPcfr0aZPzZs2aRfny5XF3d6dSpUosXrw4w7KTdzlpNBq+++472rZtS548eahYsSK//PILYGjVaPx425cCBQqg0WiMLRt6vZ6QkBDKli2Ll5cXNWrUYEXiOMUk72HDhg3Url0bDw8Pdu7ciV6vZ/LkyVSoUAEPDw9Kly7Np59+arzuypUrdOjQgfz58+Pn58frr79u0nLVs2dP2rRpQ3BwMIULF8bX15d+/foRHx9vfH3btm189dVXaDQaq1q+QkNDyZ8/P7/88gtVqlTBw8ODy5cvExcXx/Dhw/H398fb25v69euzdetWk2vnzZtHqVKlyJMnD23btmXq1Knkz5/f+PqECROoWbMm3333HWXLlsXT0xOA+/fv06dPH+N7atKkCUeOHDFed+TIERo3boyPjw++vr7Url2bAwcOAHDp0iVat25NgQIF8Pb2pmrVqqxfv97k3yFpC9vKlSupWrUqHh4eBAQE8OWXX5q8h4CAAD777DN69eqFj48PpUuXZu7cuRbdQ7tRuUBERIQCVMTt20pNmaKUj49ShmG1SnXrptT1644O0UCvV2ryZKW0WqVArauImrxzstLpdY6OTAjhYD169FDjx49XSikFqLCwMKWUUlu2bFGAql+/vtq6das6fvy4atiwoXruueeM165atUq5ubmpmTNnqtOnT6svv/xSubi4qL/++ivdOsuUKaOmTZtmfA6okiVLqh9//FGdPXtWvffeeypv3rzq7t27KiEhQa1cuVIB6vTp0+rGjRvq/v37SimlJk6cqJ566in1+++/q/Pnz6uFCxcqDw8PtXXrVpP3UL16dbVx40Z17tw5dffuXTVy5EhVoEABFRoaqs6dO6d27Nih5s2bp5RSKj4+XlWuXFn16tVLHT16VJ04cUJ17txZVapUScXFxRnvWd68eVXHjh3VsWPH1G+//aYKFy6sxowZo5RS6v79+6pBgwbqnXfeUTdu3FA3btxQCQkJKiwsTCV+PI4fP1716NEjzXu0cOFC5ebmpp577jm1a9cuderUKRUdHa369OmjnnvuObV9+3Z17tw5NWXKFOXh4aHOnDmjlFJq586dSqvVqilTpqjTp0+rmTNnKj8/P5UvXz5j2ePHj1fe3t7q5ZdfVocOHVJHjhxRSinVrFkz1bp1a7V//3515swZNWzYMFWwYEF19+5dpZRSVatWVV27dlUnT55UZ86cUcuXL1eHDx9WSin16quvqubNm6ujR4+q8+fPq19//VVt27bN5N/hv//+U0opdeDAAaXVatXHH3+sTp8+rRYuXKi8vLzUwoULTX5G/Pz81MyZM9XZs2dVSEiI0mq16tSpU8ZzXnzxxXTvYXqMn98RERmem7sSmnLlniQydesqtXu3o0Mz0kdGqvg32hrje9S9mzpwboejwxJCZHOJH0J//vmn8di6desUoB4+fKiUUuq5555T77zzjsl17du3V6+88kq6ZaeW0Hz44YfG51FRUQpQGzZsMIkl8QNRKaViY2NVnjx51O5kv2979+6tOnXqZHLdmjVrjK9HRkYqDw8PYwKT3OLFi1WlSpWUXq83HouLi1NeXl7qjz/+UEoZEho/Pz8VHR1tPGfWrFkqb968SqczfFF88cUX1eDBg9O9D+lZuHChAowJg1JKXbp0Sbm4uKhr166ZnNu0aVM1evRopZRSHTt2VK+++qrJ6126dEmR0Li5ualbt24Zj+3YsUP5+vqq2NhYk2vLly+v5syZo5RSysfHR4WGhqYab7Vq1dSECRNSfS35v1/nzp1V8+bNTc4ZMWKEqlKlivF5mTJlVNeuXY3P9Xq9KlKkiJo1a5bxWLdu3dSoUaNSrTMjliQ0TtXlNHPmTAICAvD09KR+/frs27fPsgIuXIBixQw7YydZnM7RIo8d5EqVkritXI1yc4Nvv8U1dBG1yz+fZTFcvWoYLHz1apZVKYSwo+rVqxv/XvzxMt63bt0C4OTJkwQFBZmcHxQUxMmTJwFYsmQJefPmNT527NhhVj3e3t74+voa60nNuXPniImJoXnz5iZ1fP/995xP3A/vsTp16hj/fvLkSeLi4mjatGmq5R45coRz587h4+NjLNPPz4/Y2FiTcmvUqEGePHmMzxs0aEBUVBRXrlxJM2ZLubu7m9yXf//9F51OR2BgoMl73rZtmzG206dPU69ePZNykj8HKFOmjMlYpiNHjhAVFUXBggVNyg4LCzOWPXToUPr06UOzZs2YNGmSyf147733mDhxIkFBQYwfP56jiWutpSKtn5uzZ8+i0+mMx5K+d41GQ7FixUx+Jr7//ntCQkLSrMdenGbE1bJlyxg6dCizZ8+mfv36TJ8+nRYtWnD69GmKFCliXiFDhhjWlHHUdgWpOLNoKsX6jaB0rJ4beeHO999QrW36swrMWXfGEosWwaBBhjVqtFr4+mvo0cN+5cv0byEyn5ubm/HviTN09Gbue/Laa69RP8nmuv7p7FeStJ7EutKrJ+rxDrTr1q1LUa6Hh4fJc+8kvyy8vLzSjTkqKoratWuzZMmSFK9l9WBmLy8v4z0HQ2wuLi4cPHgQFxfTRU/z5s1rUdneyX6BRkVFUbx48RTjcQDj+JsJEybQuXNn1q1bx4YNGxg/fjxLly6lbdu29OnThxYtWrBu3To2btxISEgIX375JYMGDbIorqQs/ZnILE6T0EydOpV33nmHt99+G4DZs2ezbt06FixYwKhRo8wrJDg42yQzSqdj77uv8uz8PwA4UNYD1xWrqVmrZYbXWvj/wSJ6vWH5nQED7Fdmzl+6UYjsrXLlyuzatYseSb6p7Nq1iypVqgDg4+ODjx1+NybOwEn67T3pQNkXX3zR7LIqVqyIl5cXmzdvpk+fPiler1WrFsuWLaNIkSLpLrh25MgRHj58aEyQ9uzZQ968eSlVqpQx5qTx2sMzzzyDTqfj1q1bNGzYMNVzKlWqxP79+02OJX+emlq1anHz5k1cXV0JCAhI87zAwEACAwN5//336dSpEwsXLqRt27YAlCpVin79+tGvXz9Gjx7NvHnzUk1oEn9uktq1axeBgYEpErXswCm6nOLj4zl48CDNmjUzHtNqtTRr1oy///47xflxcXFERkaaPLKT/26EcaCevzGZ2dCiHBUOXzYrmRE5l3T7icwyYsQIQkNDmTVrFmfPnmXq1KmsWrWK4cOH27WeMmXKoNFo+O2337h9+zZRUVH4+PgwfPhw3n//fRYtWsT58+c5dOgQX3/9NYsWLUqzLE9PTz744ANGjhxp7J7as2cP8+fPB6BLly4UKlSI119/nR07dhAWFsbWrVt57733uJrkP1F8fDy9e/fmxIkTrF+/nvHjxzNw4EDjtOqAgAD27t3LxYsXuXPnjl1aFgIDA+nSpQvdu3dn1apVhIWFsW/fPkJCQli3bh0AgwYNYv369UydOpWzZ88yZ84cNmzYYNLSk5pmzZrRoEED2rRpw8aNG7l48SK7d+9m7NixHDhwgIcPHzJw4EC2bt3KpUuX2LVrF/v376dy5coADBkyhD/++IOwsDAOHTrEli1bjK8lN2zYMDZv3swnn3zCmTNnWLRoEd98843FPzfdu3dn9OjRFl1jDadooblz5w46nY6iRYuaHC9atCinTp1KcX5ISAjBwcFZFZ5ljh8nulk96t6MIdYVdo7pyssTvs/whzipxy24dpHWlgg5fZdse3fb2Sqzu/3sQboOnVebNm346quv+OKLLxg8eDBly5Zl4cKFNGrUyK71+Pv7ExwczKhRo3j77bfp3r07oaGhfPLJJxQuXJiQkBAuXLhA/vz5qVWrFmPGjEm3vI8++ghXV1fGjRvH9evXKV68OP369QMgT548bN++nQ8++IB27drx4MED/P39adq0qUmLTdOmTalYsSIvvPACcXFxdOrUybhAIcDw4cPp0aMHVapU4eHDh4SFhaXb8mGuhQsXMnHiRIYNG8a1a9coVKgQzz77LK1atQIMY1Fmz55NcHAwH374IS1atOD999/nm2++SbdcjUbD+vXrGTt2LG+//Ta3b9+mWLFivPDCCxQtWhQXFxfu3r1L9+7dCQ8Pp1ChQrRr1874majT6RgwYABXr17F19eXl19+mWnTpqVaV61atVi+fDnjxo3jk08+oXjx4nz88ccWLzR4+fLlTFmXJzmn2Mvp+vXr+Pv7s3v3bhokGcg7cuRItm3bxt7EnRMfi4uLIy4uzvg8MjKSUqVKWb7bdmaYOhWGDeO6nxuRPy7kqRZdHBsPuXOXbAcvNeSUsv9vCiFM9ezZk/v377NmzRpHh2KWd955h1OnTqU7KDu3sWQvJ6dooSlUqBAuLi6Eh4ebHA8PD091VUMPD48Ug80c6U7MHbZf2k67yu3g/fchPp5ivd6mRJGiGV+cBXr3hhYtZJdsIYTISl988QXNmzfH29ubDRs2sGjRIr799ltHh+W0nCKhcXd3p3bt2mzevJk2bdoAhtH7mzdvZuDAgY4NLgN///Mr5wa8xXtN4ij+7g4alGoAo0Zlu8FLuW1LBHt229kqt3b7CZHb7du3j8mTJ/PgwQPKlSvHjBkzUh0ALczjFAkNGObV9+jRgzp16lCvXj2mT59OdHS0cdZTdqNXeibtCKFR1w/pdgV8EnzxHiSDELKL7DQeJHEn9OTdfoGBjo5MCOcWGhrq6BDStXz5ckeHkKM4TULTsWNHbt++zbhx47h58yY1a9bk999/TzFQODu4FX2Lbqu7sfH8Rp59CX7emI+X5mwkT9HqGV8sciXp9hNCCNs4xaBgW1kyqMhW285s4vOZndjgdxcvVy9mvjKTntW6oXHCXWOFEEIIR7Lk8zu7DeVwbjduUKH9u6z49i5t48qx/539vP3M25LMCCGEEJlMEho7UErB7t1Quzb+R8Nw8fTix6BpVC1S1dGhCSGEELmCJDQ22nRuI1O7V0Q1agQ3bkDVqngcOoLnq685OjQhhBBZ5MqVKzRq1IgqVapQvXp1fv75Z0eHlOtIX4iVEvQJTNz4IWVGf86ww48PduhgWKUuMzdbEkIIke24uroyffp0atasyc2bN6lduzavvPJKis0lReaRFhorXIu8RqdpQbTq9TlvHwa9VsOjSZ/B0qWSzAghHKJRo0YMGTLE0WHkWsWLF6dmzZoAFCtWjEKFCnHv3j3HBpXLSEJjod/P/c7AEVX4dtw+6tyAuPx50W7chNsHo2U9fSGEMMP27dtp3bo1JUqUQKPRmL01wcyZMwkICMDT05P69euzb9++FOdcu3aNrl27UrBgQby8vKhWrRoHDhwwvj5r1iyqV6+Or68vvr6+NGjQgA0bNqRbb8+ePdFoNGg0Gtzc3ChbtiwjR44kNjY21fMPHjyITqcz7uidVcy5P0mZey8yKjckJIS6devi4+NDkSJFaNOmDadPn7brezOHJDQWWPRPKH/2b8mKeZEUjoHY6lXxOHwMmjZ1dGhCCOE0oqOjqVGjBjNnzjT7mmXLljF06FDGjx/PoUOHqFGjBi1atODWrVvGc/777z+CgoJwc3Njw4YNnDhxgi+//JICBQoYzylZsiSTJk3i4MGDHDhwgCZNmvD6669z/PjxdOt/+eWXuXHjBhcuXGDatGnMmTOH8ePHpzjv3r17dO/enblz55r93uzBnPuTnDn3wpxyt23bxoABA9izZw+bNm3i0aNHvPTSS0Rn9S7AKheIiIhQgIqIiLC+EJ1OPXyzjVKGPfpUQreuSsXE2C9IIYTIwM8//6yefvpp5enpqfz8/FTTpk1VVFSUUkqpF198UQ0ePNh4bmxsrBo0aJAqXLiw8vDwUEFBQWrfvn3G11988UU1YMAANWDAAOXr66sKFiyoPvzwQ6XX643n6HQ69dlnn6mAgADl6empqlevrn7++We7vidArV69OsPz6tWrpwYMGGASW4kSJVRISIjx2AcffKCef/55i2MoUKCA+u6779J8vUePHur11183OdauXTv1zDPPmByLjY1VDRs2VN9//73FMdjKnPtjjuT3wppyb926pQC1bds2i+pOjSWf39JCk4EjN48Y/qLV4lkuEOXqCjNn4rLoe/DycmxwQohc48aNG3Tq1IlevXpx8uRJtm7dSrt27QzLRqRi5MiRrFy5kkWLFnHo0CEqVKhAixYtTMZ1LFq0CFdXV/bt28dXX33F1KlT+e6774yvh4SE8P333zN79myOHz/O+++/T9euXdm2bRtg2FpAkwVd7fHx8Rw8eJBmzZoZj2m1Wpo1a8bff/9tPPbLL79Qp04d2rdvT5EiRXjmmWeYN29emuXqdDqWLl1KdHQ0DRo0MDueY8eOsXv3btzd3Y3HlFL07NmTJk2a0K1btwzL+Oyzz8ibN2+6j8uXL5sVj7n3Jz2p3Qtry42IiADAz8/PrLrtxub0yQlY00ITlxCn3v/9feX6EerHoz8aDj56pNQ//2ROkEIIkY6DBw8qQF28eDHV15O20ERFRSk3Nze1ZMkS4+vx8fGqRIkSavLkycbzK1eubNIi88EHH6jKlSsrpQytDXny5FG7d+82qad3796qU6dOSimlVq1apSpVqmTT+8KMFppr164pIEUsI0aMUPXq1TM+9/DwUB4eHmr06NHq0KFDas6cOcrT01OFhoaaXHf06FHl7e2tXFxcVL58+dS6devSrb9Hjx7KxcVFeXt7Kw8PDwUorVarVqxYYTxnx44dSqPRqBo1ahgfR48eTbPMu3fvqrNnz6b7ePToUbpxWXp/UpPevbCmXJ1Op1599VUVFBRkVuwZseTzW6ZtpyLsvzDeWt6BFksPsPU8bHzuCFTrBK6u8HgUuxBCZKUaNWrQtGlTqlWrRosWLXjppZd48803TcaHJDp//jyPHj0iKCjIeMzNzY169epx8uRJ47Fnn33WpIWlQYMGfPnll+h0Os6dO0dMTAzNmzc3KTs+Pp5nnnkGgLZt29K2bVt7v1Wr6fV66tSpw2effQbAM888w7Fjx5g9ezY9evQwnlepUiUOHz5MREQEK1asoEePHmzbto0qVaqkWXbjxo2ZNWsW0dHRTJs2DVdXV9544w3j688//zx6vd7sWP38/LK+BSMV1tyL9AwYMIBjx46xc+dOO0eaMelySmbVyVU8M+cZrp45wNA9GoKuQPD9mo4OSwiRy7m4uLBp0yY2bNhAlSpV+Prrr6lUqRJhYWGZUl9UVBQA69at4/Dhw8bHiRMnWLFiRabUmZZChQrh4uJCeHi4yfHw8HCKFStmfF68ePEUH8SVK1dO0XXj7u5OhQoVqF27NiEhIdSoUYOvvvoq3Ri8vb2pUKECNWrUYMGCBezdu5f58+db/Z7s2eVk7v1JTXr3wtJyBw4cyG+//caWLVso6YAddiWheSwuIY5B6wfxxvI3iIiLoHSVZ4n7fgEsXAhvveXo8IQQAo1GQ1BQEMHBwfzzzz+4u7uzevXqFOeVL18ed3d3du3aZTz26NEj9u/fb/KBv3fvXpPr9uzZQ8WKFXFxcaFKlSp4eHhw+fJlKlSoYPLI6unI7u7u1K5dm82bNxuP6fV6Nm/ebDL2JSgoKMV04TNnzlCmTJl0y9fr9cTFxZkdj1arZcyYMXz44Yc8fPjQ7OuS6tevn0mimNqjRIkSZpVl7v0xR9J7YW65SikGDhzI6tWr+euvvyhbtqxFddqNXTq5sjlz+uD+uvCXeqM9qnlX1IiNI1R8QnwWRiiEEOnbs2eP+vTTT9X+/fvVpUuX1PLly5W7u7tav369UirlLKfBgwerEiVKqA0bNqjjx4+rHj16qAIFCqh79+4Zz8+bN696//331alTp9SPP/6ovL291ezZs41ljB07VhUsWFCFhoaqc+fOqYMHD6oZM2YYx6RYO4bmwYMH6p9//lH//POPAtTUqVPVP//8oy5dumQ85+uvv1ZNmjQxPl+6dKny8PBQoaGh6sSJE6pv374qf/786ubNm8Zz9u3bp1xdXdWnn36qzp49q5YsWaLy5MmjfvjhB+M5o0aNUtu2bVNhYWHq6NGjatSoUUqj0aiNGzemGW9qs5wePXqk/P391ZQpUyx+/5nBnPuT/J6acy/MKfd///ufypcvn9q6dau6ceOG8RFjh5nAloyhkYRGKaUSEpT64AOlQMXly6vU5ctZG6AQQmTgxIkTqkWLFsZp2IGBgerrr782vp48oXn48KEaNGiQKlSoUJrTtvv376/69eunfH19VYECBdSYMWNMBgnr9Xo1ffp0ValSJeXm5qYKFy6sWrRoYZyOu3DhQmXN9+ItW7YoIMWjR48exnPGjx+vypQpY3Ld119/rUqXLq3c3d1VvXr11J49e1KU/euvv6qnn35aeXh4qKeeekrNnTvX5PVevXqpMmXKKHd3d1W4cGHVtGnTdJMZpVJPaJRSKiQkRBUuXNg4dd7RMro/ye+pufcio3JT+7cE1MKFC21+T5YkNJrHweRokZGR5MuXj4iICHx9fQF4+OghY/8ay/sVu1Pq3RHw55+Gk4cPh5AQwwBgIYTIoRo1akTNmjWZPn26o0MRIk2pfX6nJVd+ap++c5oOKzqgPXyUESu+hbtxkCcPLFgAHTs6OjwhhBBCWCjXDQpecnQJtefWpvrGo+yeD8XvxkH58rB3ryQzQgghhJPKVS00A9cP5KcTi5n6BwxK3FvrlVdgyRLIn9+RoQkhRJbaunWro0MQwq5yVULz+67F/PULNEyc2j9uHIwfD9pc11AlhBBC5Ci5IqFJHPf8eyhUiIJIHx+YO9fQOvN48SghhBBCZC+RkZEAae5ZllSumOV09erVLF8ISgghhBD2ceXKlQxXH84VCY1er+f69ev4+Phkyc6w5oiMjKRUqVJcuXIlw6lowpTcO+vJvbOe3Dvryb2zXm6/d0opHjx4QIkSJdBmMDwkV3Q5abVah+wrYQ5fX99c+UNqD3LvrCf3znpy76wn9856ufne5cuXz6zzZDSsEEIIIZyeJDRCCCGEcHqS0DiIh4cH48ePx8PDw9GhOB25d9aTe2c9uXfWk3tnPbl35ssVg4KFEEIIkbNJC40QQgghnJ4kNEIIIYRwepLQCCGEEMLpSUIjhBBCCKcnCY0DzJw5k4CAADw9Palfvz779u3L+CLB9u3bad26NSVKlECj0bBmzRpHh+Q0QkJCqFu3Lj4+PhQpUoQ2bdpw+vRpR4flFGbNmkX16tWNC5s1aNCADRs2ODospzNp0iQ0Gg1DhgxxdChOYcKECWg0GpPHU0895eiwsjVJaLLYsmXLGDp0KOPHj+fQoUPUqFGDFi1acOvWLUeHlu1FR0dTo0YNZs6c6ehQnM62bdsYMGAAe/bsYdOmTTx69IiXXnqJ6OhoR4eW7ZUsWZJJkyZx8OBBDhw4QJMmTXj99dc5fvy4o0NzGvv372fOnDlUr17d0aE4lapVq3Ljxg3jY+fOnY4OKVuTadtZrH79+tStW5dvvvkGMOwzVapUKQYNGsSoUaMcHJ3z0Gg0rF69mjZt2jg6FKd0+/ZtihQpwrZt23jhhRccHY7T8fPzY8qUKfTu3dvRoWR7UVFR1KpVi2+//ZaJEydSs2ZNpk+f7uiwsr0JEyawZs0aDh8+7OhQnIa00GSh+Ph4Dh48SLNmzYzHtFotzZo14++//3ZgZCK3iYiIAAwfzMJ8Op2OpUuXEh0dTYMGDRwdjlMYMGAAr776qsnvPWGes2fPUqJECcqVK0eXLl24fPmyo0PK1nLF5pTZxZ07d9DpdBQtWtTkeNGiRTl16pSDohK5jV6vZ8iQIQQFBfH00087Ohyn8O+//9KgQQNiY2PJmzcvq1evpkqVKo4OK9tbunQphw4dYv/+/Y4OxenUr1+f0NBQKlWqxI0bNwgODqZhw4YcO3YMHx8fR4eXLUlCI0QuM2DAAI4dOyb98RaoVKkShw8fJiIighUrVtCjRw+2bdsmSU06rly5wuDBg9m0aROenp6ODsfptGzZ0vj36tWrU79+fcqUKcPy5culqzMNktBkoUKFCuHi4kJ4eLjJ8fDwcIoVK+agqERuMnDgQH777Te2b99OyZIlHR2O03B3d6dChQoA1K5dm/379/PVV18xZ84cB0eWfR08eJBbt25Rq1Yt4zGdTsf27dv55ptviIuLw8XFxYEROpf8+fMTGBjIuXPnHB1KtiVjaLKQu7s7tWvXZvPmzcZjer2ezZs3S3+8yFRKKQYOHMjq1av566+/KFu2rKNDcmp6vZ64uDhHh5GtNW3alH///ZfDhw8bH3Xq1KFLly4cPnxYkhkLRUVFcf78eYoXL+7oULItaaHJYkOHDqVHjx7UqVOHevXqMX36dKKjo3n77bcdHVq2FxUVZfLtJCwsjMOHD+Pn50fp0qUdGFn2N2DAAH788UfWrl2Lj48PN2/eBCBfvnx4eXk5OLrsbfTo0bRs2ZLSpUvz4MEDfvzxR7Zu3coff/zh6NCyNR8fnxRjtLy9vSlYsKCM3TLD8OHDad26NWXKlOH69euMHz8eFxcXOnXq5OjQsi1JaLJYx44duX37NuPGjePmzZvUrFmT33//PcVAYZHSgQMHaNy4sfH50KFDAejRowehoaEOiso5zJo1C4BGjRqZHF+4cCE9e/bM+oCcyK1bt+jevTs3btwgX758VK9enT/++IPmzZs7OjSRg129epVOnTpx9+5dChcuzPPPP8+ePXsoXLiwo0PLtmQdGiGEEEI4PRlDI4QQQginJwmNEEIIIZyeJDRCCCGEcHqS0AghhBDC6UlCI4QQQginJwmNEEIIIZyeJDRCCCGEcHqS0AghhBAiVdu3b6d169aUKFECjUbDmjVrLLo+NjaWnj17Uq1aNVxdXWnTpk2q58XFxTF27FjKlCmDh4cHAQEBLFiwwKK6JKERQgiR7cXFxdGrVy9Kly6Nr68vzz77LH///bejw8rxoqOjqVGjBjNnzrTqep1Oh5eXF++99x7NmjVL87wOHTqwefNm5s+fz+nTp/npp5+oVKmSRXXJ1gdCCCGyvYSEBAICAti5cyclS5Zk+fLltG7dmosXL5I3b15Hh5djtWzZkpYtW6b5emLLyk8//cT9+/d5+umn+fzzz43brHh7exu3Xtm1axf3799PUcbvv//Otm3buHDhAn5+fgAEBARYHKu00AghRCYLDQ1Fo9Fw8eJFR4disewSu7e3N+PGjaN06dJotVreeust3N3dOX36tEPjyu0GDhzI33//zdKlSzl69Cjt27fn5Zdf5uzZs2aX8csvv1CnTh0mT56Mv78/gYGBDB8+nIcPH1oUiyQ0IsfQaDRmPbZu3Wr8JZ3WY8+ePQAm5+3cuTNFnUopSpUqhUajoVWrViavJa/D09OTwMBABg4cSHh4eIqyjh8/TteuXfH398fDw4MSJUrQpUsXjh8/btb7T6zP09OTa9eupXi9UaNGqe5ybGu95ti9ezcTJkxI9duZcE56vZ7ChQszefJkh9R/9uxZ7t27R4UKFRxSv4DLly+zcOFCfv75Zxo2bEj58uUZPnw4zz//PAsXLjS7nAsXLrBz506OHTvG6tWrmT59OitWrKB///4WxSNdTiLHWLx4scnz77//nk2bNqU4XrlyZeO3zY8//piyZcumKCv5L0lPT09+/PFHnn/+eZPj27Zt4+rVq3h4eKQZV2IdsbGx7Ny5k1mzZrF+/XqOHTtGnjx5AFi1ahWdOnXCz8+P3r17U7ZsWS5evMj8+fNZsWIFS5cupW3btmbdh7i4OCZNmsTXX3+d4bn2rDc9u3fvJjg4mJ49e5I/f36byxOOt2/fPu7cucOrr76a5XU/fPiQrl27Mnr0aPLly5fl9QuDf//9F51OR2BgoMnxuLg4ChYsaHY5er0ejUbDkiVLjP+eU6dO5c033+Tbb7/Fy8vLrHIkoRE5RteuXU2e79mzh02bNqU4nlTLli2pU6dOhmW/8sor/Pzzz8yYMQNX1yf/bX788Udq167NnTt3zKqjT58+FCxYkKlTp7J27Vo6derE+fPn6datG+XKlWP79u0ULlzYeO3gwYNp2LAh3bp14+jRo5QrVy7DWGvWrMm8efMYPXo0JUqUSPM8e9drL9HR0Xh7e2dZfcI669evp0yZMlStWjVL63306BHt27enQoUKjBs3LkvrFqaioqJwcXHh4MGDuLi4mLxmybim4sWL4+/vb5KcVq5cGaUUV69epWLFimaVI11OQpihU6dO3L17l02bNhmPxcfHs2LFCjp37mxRWU2aNAEgLCwMgClTphATE8PcuXNNkgqAQoUKMWfOHKKjo81u2h8zZgw6nY5Jkyale569603LhAkTGDFiBABly5Y1dsFdvHiRCRMmoNFoOHHiBJ07d6ZAgQImrWD//PMPLVu2xNfXl7x589K0aVNjd2DS8jUaDadOnaJDhw74+vpSsGBBBg8eTGxsrNVxX7t2jd69e1OiRAk8PDwoW7Ys//vf/4iPjzc5z5wY7S3xPZ85c4auXbuSL18+ChcuzEcffYRSiitXrvD666/j6+tLsWLF+PLLL1OUYWvc69atS9E6k9E9szVuvV5Pt27d0Gg0LFq0CI1GY8XdE/byzDPPoNPpuHXrFhUqVDB5FCtWzOxygoKCuH79OlFRUcZjZ86cQavVUrJkSbPLkYRG5GoRERHcuXPH5HH37t0U5wUEBNCgQQN++ukn47ENGzYQERHBW2+9ZVGd58+fBzA2yf76668EBATQsGHDVM9/4YUXCAgIYN26dWaVX7ZsWbp37868efO4fv16mufZu960tGvXjk6dOgEwbdo0Fi9ezOLFi02SqPbt2xMTE8Nnn33GO++8AxjG9jRs2JAjR44wcuRIPvroI8LCwmjUqBF79+5NUU+HDh2IjY0lJCSEV155hRkzZtC3b1+rYr5+/Tr16tVj6dKldOzYkRkzZtCtWze2bdtGTEyM8TxLY7S3jh07otfrmTRpEvXr12fixIlMnz6d5s2b4+/vz+eff06FChUYPnw427dvt1vcN2/e5J9//uGVV14xHjP3ntkS97vvvsuNGzf4+eefTVpKReaJiori8OHDHD58GDB8ETt8+DCXL18mMDCQLl260L17d1atWkVYWBj79u0jJCTE5PfGiRMnOHz4MPfu3SMiIsKkPIDOnTtTsGBB3n77bU6cOMH27dsZMWIEvXr1Mru7CQAlRA41YMAAldaP+MKFCxWQ6sPDwyPFefv371fffPON8vHxUTExMUoppdq3b68aN26slFKqTJky6tVXX021jj///FPdvn1bXblyRS1dulQVLFhQeXl5qatXr6r79+8rQL3++uvpvpfXXntNASoyMjLNc5LGev78eeXq6qree+894+svvviiqlq1qlJK2bVec0yZMkUBKiwszOT4+PHjFaA6deqU4po2bdood3d3df78eeOx69evKx8fH/XCCy+kKOO1114zub5///4KUEeOHLE43u7duyutVqv279+f4jW9Xm9xjIn/Nsnfv7US33Pfvn2NxxISElTJkiWVRqNRkyZNMh7/77//lJeXl+rRo4fFcacV+/z585WXl5fx/4JS5t0zW+K+ePGiApSnp6fy9vY2PrZv327mXRPW2LJlS6q/JxP/XeLj49W4ceNUQECAcnNzU8WLF1dt27ZVR48eNZZRpkyZVMtI6uTJk6pZs2bKy8tLlSxZUg0dOtTk58sckuKKXG3mzJkpBrQl7wtO1KFDB4YMGcJvv/3Gyy+/zG+//caMGTMyrCP5YlJlypRhyZIl+Pv7c/XqVQB8fHzSLSPx9cjIyAzPBShXrhzdunVj7ty5jBo1iuLFi5u8/uDBg0yp11r9+vUzea7T6di4cSNt2rQxGb9TvHhxOnfuzLx584iMjMTX19f42oABA0zKGDRoEN9++y3r16+nevXqZsei1+tZs2YNrVu3TnV8VWI3hzUx2lufPn2Mf3dxcaFOnTpcvXqV3r17G4/nz5+fSpUqceHCBbvFvX79eho3bmz89mzuPbMl7jJlyqCUMuu+CPtp1KhRuvfdzc2N4OBggoOD0zzHnCn/Tz31lEmXvjUkoRG5Wr169cwaFAxQuHBhmjVrxo8//khMTAw6nY4333wzw+sSkyZXV1eKFi1KpUqV0GoNvb2JSUJigpEWcxOQpD788EMWL17MpEmT+Oqrr0xes7beuLg4/ve///Hnn39y//59qlSpwrRp02jQoIHZcaUm+Uyz27dvExMTk+pKoZUrV0av13PlyhWTAanJBw6WL18erVZr8fopt2/fJjIyMtUp7rbGaG+lS5c2eZ4vXz48PT0pVKhQiuOJXam2xv3o0SM2bdpESEiI8Zi598yWuIXIiCQ0Qligc+fOvPPOO9y8eZOWLVuaNQU5vaQpX758FC9enKNHj6ZbxtGjR/H397fo2365cuXo2rWrsZXGHvVm1mqtFvWTmyk3DBhNrTUxrRZGe7Vu7Ny5k8jISJPxM5ZyRNwi55NBwUJYoG3btmi1Wvbs2WPx7Ka0tGrVirCwsFQX7gPYsWMHFy9eTLFwnzk+/PBDEhIS+Pzzz+1Sr7WrtVqaXBQuXJg8efKkWu6pU6fQarWUKlXK5HjylUnPnTuHXq+3eAn1woUL4+vry7Fjx+weY3Zga9zr1q2jSpUqJvfV3HsmRGaShEYIC+TNm5dZs2YxYcIEWrdubZcyR4wYgZeXF++++26K5vV79+7Rr18/8uTJY5z6bIny5cvTtWtX5syZw82bN+1er7mrtSauK2PuSsEuLi689NJLrF271qTLKDw83LjAYfLWquSb5yUuLJh0H5qYmBhOnTqV7rpBWq2WNm3a8Ouvv3LgwIEUrye2GFgToyVxZBZb4gbD+Jnk07XNvWdCZCbpchK52oYNGzh16lSK488991yai8n16NHDrjFUrFiRRYsW0aVLF6pVq5Zixd47d+7w008/Ub58eavKHzt2LIsXL+b06dMpxpzYUq8lq7XWrl3bGMtbb72Fm5tbhgnhxIkT2bRpE88//zz9+/fH1dWVOXPmEBcXl+raOGFhYbz22mu8/PLL/P333/zwww907tyZGjVqGM/Zt28fjRs3Zvz48UyYMCHNuj/77DM2btzIiy++SN++falcubJxuvDOnTuNXY2WxmhOHBqNhhdffJGtW7eme39sYW3cYWFhnDx50rjZYFLm3jMhMoskNCJXS2ul0YULF2bp6rjt27fnqaeeIiQkxJhMFCxYkMaNGzNmzBizB1umpkKFCnTt2pVFixbZrV5LV2utW7cun3zyCbNnz+b3339Hr9cbFxZMS9WqVdmxYwejR48mJCQEvV5P/fr1+eGHH6hfv36K85ctW8a4ceMYNWoUrq6uDBw4kClTpmQYW2r8/f3Zu3cvH330EUuWLCEyMhJ/f39atmxp3K7CmhgzkriwWPJZafZmbdzr168nX758BAUFpXjN3HsmRGbRKGkLFEJYQK/X07lzZ6Kjo1m9erXDFzibMGECwcHB3L59O8UsGWezfv16WrVqxZEjR6hWrZqjw0nhlVdeIW/evCxfvtzRoQiRgrTQCCEskrha6x9//OHwZCan2bJlC2+99Va2TGbAsCZJWitLC+Fo0kIjhDDbpUuXCAgIwNPT02Sa7YYNGxz2QZeTWmiEENaTr1dCCLPJaq1CiOxKWmiEEEII4fRkHRohhBBCOD1JaIQQQgjh9CShEUIIIYTTk4RGCCGEEE5PEhohhBBCOD1JaIQQQgjh9CShEUIIIYTTk4RGCCGEEE5PEhohhBBCOD1JaIQQQgjh9CShEUIIIYTTk4RGCCGEEE7v/xb0YbpequExAAAAAElFTkSuQmCC", + "image/png": 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", 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", 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", 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", 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", 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" ] @@ -8484,7 +8667,7 @@ "+'and Pandora measurements.\\n'\\\n", "+'The TEMPO science team recommends using only data with QF == 0.\\n'\\\n", "+'Users may overcome the restriction on the quality flag set in section 5.3,\\n'\\\n", - "+'find \"total_HCHO_column_QF_loc == 0\" there. By doing so, users assume risks of using low quality data.\\n'\\\n", + "+'find \"trop_NO2_column_QF_loc == 0\" there. By doing so, users assume risks of using low quality data.\\n'\\\n", "+'There is nothing to plot here, this block is terminated.')\n", " sys.exit()\n", "\n", @@ -8654,7 +8837,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 27, "metadata": { "id": "v-VbL8CNXsLL" }, @@ -8666,7 +8849,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": { "id": "4e1JLotAX9OC" }, @@ -8682,7 +8865,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": { "id": "JVkprHdiYpuS" }, @@ -8698,7 +8881,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [