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.