https://github.com/ncar/na-cordex-aws
Examples of analysis of NA-CORDEX data publicly available on Amazon S3 (us-west-2 region) using xarray and dask
https://github.com/ncar/na-cordex-aws
aws dask na-cordex pangeo xarray zarr
Last synced: 22 days ago
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Examples of analysis of NA-CORDEX data publicly available on Amazon S3 (us-west-2 region) using xarray and dask
- Host: GitHub
- URL: https://github.com/ncar/na-cordex-aws
- Owner: NCAR
- Created: 2020-12-08T20:19:27.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-12-14T21:00:11.000Z (over 1 year ago)
- Last Synced: 2025-03-25T01:51:10.476Z (about 1 month ago)
- Topics: aws, dask, na-cordex, pangeo, xarray, zarr
- Language: HTML
- Homepage:
- Size: 18.1 MB
- Stars: 2
- Watchers: 7
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# na-cordex-aws
Examples of analysis of NA-CORDEX data publicly available on Amazon S3 (us-west-2 region) using xarray and dask.
### Installing and Running the Notebook(s)
For those interested in running the notebook(s) in this repo, the file `environment.yml` contains a conda environment description that
should work for running on the NCAR supercomputers. If running outside of NCAR, you should be able to make minor modifications to this file to suit your needs.
If your machine does not have the conda package manager installed, see instructions at https://docs.conda.io/en/latest/miniconda.html for installing conda within your user environment.
To create the environment, assuming conda is available already, clone this repo to your preferred machine for running the notebook, create and then activate the conda environment:
```
# Create your own copy of the files in this repository
git clone https://github.com/NCAR/na-cordex-aws.git
# Change directory into the cloned repo
cd na-cordex-aws
# Create the conda environment
conda env create -f environment.yml
# Activate the conda environment
conda activate aws-na-cordex
```
NOTE: the conda environment installation may require more than 2GB of disk space. Add the option `-p ` to the `conda create` command
to change the installation folder.