Merge pull request ProjectPythia#14 from hrhampapura/harsha

Updated notebook 02

Author: hrhampapura

notebooks/02_era5_anomaly.ipynb

@@ -8,6 +8,37 @@
     "# Access ERA5 data from NCAR's Research Data Archive and compute anomaly"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e4d88a5a-5b58-4d10-a370-fcf0a2507bd6",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "\n",
+    "ERA-5 Dataset is available from NCAR's RDA in netcdf format as hourly files. A subset of this dataset is processed into Zarr format and available from NCAR RDA endpoints. To learn how you can create Zarr files from NCAR RDA netcdf files, please see [this notebook](./05_data_preprocessing.ipynb).\n",
+    "\n",
+    "\n",
+    "In this notebook, \n",
+    "* We will read data zarr stores from NCAR's RDA endpoint \n",
+    "* Compute temperature anomaly for the years 1940-2023"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "af77df62-68f8-436f-bf02-482b837ec65c",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Intro to Xarray](https://foundations.projectpythia.org/core/xarray.html) | Necessary | |\n",
+    "| [Intro to Intake](https://projectpythia.org/intake-cookbook/notebooks/intake_introduction.html) | Necessary | |\n",
+    "| [Understanding of Zarr](https://zarr.readthedocs.io/en/stable/) | Helpful | |\n",
+    "\n",
+    "- **Time to learn**: 30 minutes"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "c023bced-f8b9-46c7-b4b6-c92567b7cca1",
@@ -2253,9 +2284,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:uxarray-geometry] *",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "conda-env-uxarray-geometry-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -2267,7 +2298,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

notebooks/03_hvplot.ipynb

@@ -365,7 +365,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

notebooks/05_data_preprocessing.ipynb

@@ -24,6 +24,22 @@
     "- Otherwise, please run this script once to generate the annual means.\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d677da99-1aa9-4a78-843f-a2ca4b297fe2",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Intro to Xarray](https://foundations.projectpythia.org/core/xarray.html) | Necessary | |\n",
+    "| [Intro to Intake](https://projectpythia.org/intake-cookbook/notebooks/intake_introduction.html) | Necessary | |\n",
+    "| [Understanding of Zarr](https://zarr.readthedocs.io/en/stable/) | Helpful | |\n",
+    "\n",
+    "- **Time to learn**: 30 minutes"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "741a7ddb-1343-4807-9ed2-0150c350d73d",
@@ -4042,7 +4058,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,