Examples of analysis of NA-CORDEX data publicly available on Amazon S3 (us-west-2 region) using xarray and dask.

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 <install_path> to the conda create command to change the installation folder.