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Published February 4, 2024 | Version 1.0
Software Open

EyringMLClimateGroup/behrens24james_SPCESM2_ML_ensembles: Improving Atmospheric Processes in Earth System Models with Deep Learning Ensembles and Stochastic Parameterizations

Creators

  • 1. ROR icon German Aerospace Center
  • 2. ROR icon University of Bremen
  • 3. ROR icon University of Lausanne
  • 4. ROR icon University of California, Irvine

Description

This repository contains the Juypter Notebooks and python files to reproduce the main results of the submitted paper "Improving Atmospheric Processes in Earth System Models with Deep Learning Ensembles and Stochastic Parameterizations".

It complements the published version on the github page of the EyringMLClimateGroup.

Essential information how to use the code can be found in the README.

This repository is released under MIT License. See LICENSE for more information.

Files

GunnarBehrens/behrens24james_SPCESM2_stoch_deter_ML_ensembles-version_1.0.zip

Files (431.3 MB)

Additional details

Related works

Is supplement to
Software: https://github.com/EyringMLClimateGroup/behrens24james_SPCESM2_ML_ensembles (URL)