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NCAR-ASP-2021/s2s_verification_climpred

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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