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Merge pull request #14 from hrhampapura/harsha
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Updated notebook 02
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hrhampapura authored Jun 14, 2024
2 parents b29323f + 566b202 commit 758193d
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37 changes: 34 additions & 3 deletions notebooks/02_era5_anomaly.ipynb
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"# 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",
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],
"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": {
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.11.9"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion notebooks/03_hvplot.ipynb
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.11.9"
}
},
"nbformat": 4,
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18 changes: 17 additions & 1 deletion notebooks/05_data_preprocessing.ipynb
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"- 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",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.11.9"
}
},
"nbformat": 4,
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