fix typo and remove unused import from SST bias POD notebook

Author: wrongkindofdoctor

diagnostics/mar/SST_bias_NOAA_OISSTv2/SST_bias_NOAA_OISSTv2.ipynb

@@ -14,12 +14,17 @@
   {
    "cell_type": "code",
    "id": "50093a3b-2193-4041-8409-de3dc594cf7d",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-24T15:27:45.368831Z",
+     "start_time": "2025-04-24T15:27:45.362743Z"
+    }
+   },
    "source": [
     "\n",
     "\n",
     "# For testing and development purposes, enter a start year, end year, and\n",
-    "# an dora id number to analyze. The value of dora_id can also be a direct\n",
+    "# a dora id number to analyze. The value of dora_id can also be a direct\n",
     "# path to a /pp directory.\n",
     "\n",
     "config = {\n",
@@ -29,10 +34,15 @@
     "}"
    ],
    "outputs": [],
-   "execution_count": null
+   "execution_count": 1
   },
   {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-24T15:27:47.535298Z",
+     "start_time": "2025-04-24T15:27:47.530951Z"
+    }
+   },
    "cell_type": "code",
    "source": [
     "# Make sure this cell is active so that the workflow and Dora can update\n",
@@ -43,17 +53,30 @@
    ],
    "id": "9b94e2fadf0ab2c6",
    "outputs": [],
-   "execution_count": null
+   "execution_count": 2
   },
   {
    "cell_type": "code",
    "id": "cae4343a-ced9-41be-9fa6-3a6b42188886",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-24T15:27:49.675915Z",
+     "start_time": "2025-04-24T15:27:49.668710Z"
+    }
+   },
    "source": [
     "print(str(config))"
    ],
-   "outputs": [],
-   "execution_count": null
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'startyr': None, 'endyr': None, 'dora_id': 'odiv-413'}\n"
+     ]
+    }
+   ],
+   "execution_count": 3
   },
   {
    "cell_type": "markdown",
@@ -64,12 +87,15 @@
    ]
   },
   {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-24T15:28:03.718328Z",
+     "start_time": "2025-04-24T15:27:52.003735Z"
+    }
+   },
    "cell_type": "code",
-   "id": "dfcdc828-ad45-4ef0-92bc-05df9c036270",
-   "metadata": {},
    "source": [
     "import doralite\n",
-    "import glob\n",
     "import momlevel\n",
     "import subprocess\n",
     "import os\n",
@@ -85,20 +111,26 @@
     "\n",
     "from matplotlib.colors import ListedColormap, BoundaryNorm"
    ],
+   "id": "c57e0f8b0c23ad83",
    "outputs": [],
-   "execution_count": null
+   "execution_count": 4
   },
   {
    "cell_type": "code",
    "id": "806241bd-ebea-4640-ab69-cea6edba62de",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-24T15:28:18.455386Z",
+     "start_time": "2025-04-24T15:28:18.133552Z"
+    }
+   },
    "source": [
     "# momgrid will use a directory of pre-computed weights that is used for calculating basic area-weighted statistics later\n",
     "import momgrid\n",
     "os.environ[\"MOMGRID_WEIGHTS_DIR\"] = \"/nbhome/John.Krasting/grid_weights\""
    ],
    "outputs": [],
-   "execution_count": null
+   "execution_count": 5
   },
   {
    "cell_type": "markdown",
@@ -111,7 +143,12 @@
   {
    "cell_type": "code",
    "id": "04229c22-3781-400f-a390-8c5eaaef5189",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-24T15:28:21.109929Z",
+     "start_time": "2025-04-24T15:28:21.014072Z"
+    }
+   },
    "source": [
     "# Define some local variables. These are taken from the doralite object\n",
     "# or they can be defined locally\n",
@@ -136,7 +173,7 @@
     "end = int(end) if end is not None else 9999"
    ],
    "outputs": [],
-   "execution_count": null
+   "execution_count": 6
   },
   {
    "cell_type": "markdown",
@@ -150,8 +187,9 @@
    "cell_type": "code",
    "id": "382835f3-a3d7-419f-a92f-e65808230c59",
    "metadata": {
-    "jupyter": {
-     "is_executing": true
+    "ExecuteTime": {
+     "end_time": "2025-04-24T15:28:28.100167Z",
+     "start_time": "2025-04-24T15:28:27.611343Z"
     }
    },
    "source": [
@@ -198,8 +236,21 @@
     "\n",
     "#_ = [print(x) for x in filelist]"
    ],
-   "outputs": [],
-   "execution_count": null
+   "outputs": [
+    {
+     "ename": "KeyError",
+     "evalue": "'CATALOG_FILE'",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
+      "\u001B[31mKeyError\u001B[39m                                  Traceback (most recent call last)",
+      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[7]\u001B[39m\u001B[32m, line 11\u001B[39m\n\u001B[32m      9\u001B[39m     cat = intake.open_esm_datastore(os.environ[\u001B[33m'\u001B[39m\u001B[33mCATALOG_FILE\u001B[39m\u001B[33m'\u001B[39m])\n\u001B[32m     10\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mKeyError\u001B[39;00m:\n\u001B[32m---> \u001B[39m\u001B[32m11\u001B[39m     \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33mERROR: Could not load catalog file \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[43mos\u001B[49m\u001B[43m.\u001B[49m\u001B[43menviron\u001B[49m\u001B[43m[\u001B[49m\u001B[33;43m'\u001B[39;49m\u001B[33;43mCATALOG_FILE\u001B[39;49m\u001B[33;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m\"\u001B[39m)\n\u001B[32m     13\u001B[39m tos_subset = cat.search(variable_id=\u001B[33m'\u001B[39m\u001B[33mtos\u001B[39m\u001B[33m'\u001B[39m, frequency=frequency)\n\u001B[32m     14\u001B[39m filelist = \u001B[38;5;28msorted\u001B[39m([path \u001B[38;5;28;01mfor\u001B[39;00m path \u001B[38;5;129;01min\u001B[39;00m tos_subset.df[\u001B[33m'\u001B[39m\u001B[33mpath\u001B[39m\u001B[33m'\u001B[39m]])\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m<frozen os>:714\u001B[39m, in \u001B[36m__getitem__\u001B[39m\u001B[34m(self, key)\u001B[39m\n",
+      "\u001B[31mKeyError\u001B[39m: 'CATALOG_FILE'"
+     ]
+    }
+   ],
+   "execution_count": 7
   },
   {
    "cell_type": "markdown",