/s2s_verification_climpred

This is the `s2s_verification_climpred` tutorial of the ASP 2021 summer school.

Primary LanguageJupyter NotebookMIT LicenseMIT

S2S Forecast verification with climpred

This notebook is part of the tutorials in the ASP summer school.

In the S2S verification tutorial, we use climpred https://climpred.readthedocs.io/en/stable/ to verify subseasonal-to-seasonal (S2S) forecasts against observations.

Student projects

Contents

  • 'ASP_data_catalog.yml': intake catalog, see data_access_with_intake.ipynb
  • s2s-climpred.yaml: conda environment file
  • cluster.ipynb: Start a PBS-Cluster on casper, needed for big data (10GB+)
  • climpred_*.ipynb: Jupyter notebooks about climpred and student projects

Environment

It is recommented to use the enviroment s2s-climpred on NCAR_casper.

Else create your own environment:

  conda activate
  conda env create -f s2s-climpred.yaml
  # update existing
  # conda env update -f s2s-climpred.yaml
  conda activate s2s-climpred

Other resources


Usage questions

Consider...

Tutorial leads

  • Aaron Spring
  • Judith Berner
  • Abby Jaye