chore: update external product types reference

[github-actions]

Update external product-types reference from daily fetch. See Python API User Guide / Collections discovery

Changed file

eodag/resources/ext_product_types.json

commit 29048a8e53284315fbd2f73a83599d556ca3c8a8

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Note: Detailed diffs are available in the job summary.

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Changes grouped by JSON paths:

abstract
2 product_type(s) affected (cop_marine)

Click to expand for detailed diffs

cop_marine - product_types_config - MULTIOBS_GLO_PHY_SSS_L4_MY_015_015

--- old
+++ new
@@ -1,5 +1,5 @@
 {
-    "abstract": "The product MULTIOBS_GLO_PHY_SSS_L4_MY_015_015 is a reformatting and a simplified version of the CATDS L4 product called \u201cSMOS-OI\u201d. This product is obtained using optimal interpolation (OI) algorithm, that combine, ISAS in situ SSS OI analyses to reduce large scale and temporal variable bias, SMOS satellite image, SMAP satellite image, and satellite SST information.\n\nKolodziejczyk Nicolas, Hamon Michel, Boutin Jacqueline, Vergely Jean-Luc, Reverdin Gilles, Supply Alexandre, Reul Nicolas (2021). Objective analysis of SMOS and SMAP Sea Surface Salinity to reduce large scale and time dependent biases from low to high latitudes. Journal Of Atmospheric And Oceanic Technology, 38(3), 405-421. Publisher's official version: https://doi.org/10.1175/JTECH-D-20-0093.1, Open Access version: https://archimer.ifremer.fr/doc/00665/77702/\n\n**DOI (product):** \nhttps://doi.org/10.48670/mds-00369\n\n**References:**\n\n* Kolodziejczyk Nicolas, Hamon Michel, Boutin Jacqueline, Vergely Jean-Luc, Reverdin Gilles, Supply Alexandre, Reul Nicolas (2021). Objective analysis of SMOS and SMAP Sea Surface Salinity to reduce large scale and time dependent biases from low to high latitudes. Journal Of Atmospheric And Oceanic Technology, 38(3), 405-421. Publisher's official version : https://doi.org/10.1175/JTECH-D-20-0093.1, Open Access version : https://archimer.ifremer.fr/doc/00665/77702/\n",
+    "abstract": "The product MULTIOBS_GLO_PHY_SSS_L4_MY_015_015 is a reformatting and a simplified version of the CATDS L4 product called \u201cSMOS-OI\u201d. This product is obtained using optimal interpolation (OI) algorithm, that combine, ISAS in situ SSS OI analyses to reduce large scale and temporal variable bias, SMOS satellite image, SMAP satellite image, and satellite SST information.\n\n**DOI (product):** \nhttps://doi.org/10.48670/mds-00369\n\n**References:**\n\n* Kolodziejczyk Nicolas, Hamon Michel, Boutin Jacqueline, Vergely Jean-Luc, Reverdin Gilles, Supply Alexandre, Reul Nicolas (2021). Objective analysis of SMOS and SMAP Sea Surface Salinity to reduce large scale and time dependent biases from low to high latitudes. Journal Of Atmospheric And Oceanic Technology, 38(3), 405-421. Publisher's official version : https://doi.org/10.1175/JTECH-D-20-0093.1, Open Access version : https://archimer.ifremer.fr/doc/00665/77702/\n",
     "doi": "10.48670/mds-00369",
     "instrument": null,
     "keywords": "coastal-marine-environment,global-ocean,in-situ-observation,level-4,marine-resources,marine-safety,multi-year,multiobs-glo-phy-sss-l4-my-015-015,near-real-time,none,oceanographic-geographical-features,satellite-observation,sea-surface-density,sea-surface-salinity,sea-surface-temperature,sea-water-conservative-temperature,weather-climate-and-seasonal-forecasting",

cop_marine - product_types_config - SST_BAL_PHY_L3S_MY_010_040

--- old
+++ new
@@ -1,5 +1,5 @@
 {
-    "abstract": "For the Baltic Sea- The DMI Sea Surface Temperature reprocessed analysis provides daily Level 3 Super-Collated fields of the sea surface temperature fields, at 0.02deg. x 0.02deg. horizontal resolution. It is produced by the DMI Optimal Interpolation (DMIOI) system (H\u00f8yer and She, 2007) as the first step prior to providing the high resolution (1/50deg. - approx. 2km grid resolution) daily analysis of the daily average sea surface temperature (SST) at 20 cm depth. It uses satellite data from infra-red radiometers, from the ESA SST_cci v3.0 (Embury et al., 2024) and Copernicus C3S projects, namely L2P data from (A)ATSRs, SLSTR and AVHRR for the period 1982-2021, L3U data from SLSTR and AVHRR for 2022-July 19 2024 and L2P data from SLSTR and AVHRR from July 20 2024 onward. For the Sea Ice Concentration it uses the Baltic high resolution sea ice concentration data from the Copernicus Marine Service SI TAC (SEAICE_BAL_PHY_L4_MY_011_019). \n\n**DOI (product):**   \nhttps://doi.org/10.48670/moi-00312\n\n**References:**\n\n* H\u00f8yer, J. L., Le Borgne, P. and Eastwood, S. 2014. A bias correction method for Arctic satellite sea surface temperature observations, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2013.04.020.\n* H\u00f8yer, J. L. and She, J., Optimal interpolation of sea surface temperature for the North Sea and Baltic Sea, J. Mar. Sys., Vol 65, 1-4, pp., 2007.H\u00f8yer, J. L. and She, J., Optimal interpolation of sea surface temperature for the North Sea and Baltic Sea, J. Mar. Sys., Vol 65, 1-4, pp., 2007.\n* Embury, O., Merchant, C.J., Good, S.A., Rayner, N.A., H\u00f8yer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w\"\n",
+    "abstract": "For the Baltic Sea- The DMI Sea Surface Temperature reprocessed analysis provides daily Level 3 Super-Collated fields of the sea surface temperature fields, at 0.02deg. x 0.02deg. horizontal resolution. It is produced by the DMI Optimal Interpolation (DMIOI) system (H\u00f8yer and She, 2007) as the first step prior to providing the high resolution (1/50deg. - approx. 2km grid resolution) daily analysis of the daily average sea surface temperature (SST) at 20 cm depth. It uses satellite data from infra-red radiometers, from the ESA SST_cci v3.0 (Embury et al., 2024) and Copernicus C3S projects, namely L2P data from (A)ATSRs, SLSTR and AVHRR for the period 1982-2021, L3U data from SLSTR and AVHRR for 2022-July 19 2024 and L2P data from SLSTR and AVHRR from July 20 2024 onward. For the Sea Ice Concentration it uses the Baltic high resolution sea ice concentration data from the Copernicus Marine Service SI TAC. \n\n**DOI (product):**   \nhttps://doi.org/10.48670/moi-00312\n\n**References:**\n\n* H\u00f8yer, J. L., Le Borgne, P. and Eastwood, S. 2014. A bias correction method for Arctic satellite sea surface temperature observations, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2013.04.020.\n* H\u00f8yer, J. L. and She, J., Optimal interpolation of sea surface temperature for the North Sea and Baltic Sea, J. Mar. Sys., Vol 65, 1-4, pp., 2007.H\u00f8yer, J. L. and She, J., Optimal interpolation of sea surface temperature for the North Sea and Baltic Sea, J. Mar. Sys., Vol 65, 1-4, pp., 2007.\n* Embury, O., Merchant, C.J., Good, S.A., Rayner, N.A., H\u00f8yer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w\"\n",
     "doi": "10.48670/moi-00312",
     "instrument": null,
     "keywords": "baltic-sea,coastal-marine-environment,level-3,marine-resources,marine-safety,multi-year,oceanographic-geographical-features,satellite-observation,sea-surface-temperature,sst-bal-phy-l3s-my-010-040,target-application#seaiceforecastingapplication,weather-climate-and-seasonal-forecasting",

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missionStartDate
1 product_type(s) affected (geodes)

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geodes - product_types_config - FLATSIM_INTERFEROGRAM

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@@ -3,7 +3,7 @@
     "instrument": "SAR-C",
     "keywords": "atmospheric-phase-screen,coherence,deformation,flatsim-interferogram,ground-geometry,hydrology,insar,interferogram,interferogram:l2,landslides,radar-geometry,rock-glaciers,sar-c,satellite,sentinel-1,subsidence,tectonics,unwrapped,volcanology,wrapped",
     "license": "Apache-2.0",
-    "missionStartDate": "2014-10-09T23:02:19Z",
+    "missionStartDate": null,
     "platform": "sentinel-1",
     "platformSerialIdentifier": "satellite",
     "processingLevel": "INTERFEROGRAM:L2",

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title
1 product_type(s) affected (fedeo_ceda)

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fedeo_ceda - providers_config - GROUND_TEMPERATURE_L4_AREA4_PP_V05.0_NORTHERN_HEMISPHERE

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@@ -1,4 +1,4 @@
 {
     "productType": "5675b0be944f45a8af0e7ddbeb47a011",
-    "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v5.0 (0)"
+    "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Ground Temperature for the Northern Hemisphere, v5.0 (28)"
 }

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Summary:

• 4 item(s) with changes (providers_config + product_types_config)
• 3 unique path pattern(s)