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Published July 24, 2023 | Version Code and workflow snapshot used to produce initial manuscript submission to JAMES
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Code for "A machine learning parameterization of clouds in a coarse-resolution climate model for unbiased radiation", a manuscript submitted to JAMES

  • 1. Allen Institute for Artificial Intelligence
  • 2. University of Washington
  • 3. Allen Institute for Artificial Intelligence; NOAA Geophysical Fluid Dynamics Laboratory
  • 4. NVIDIA Corporation

Description

Code for "A machine learning parameterization of clouds in a coarse-resolution climate model for unbiased radiation", a manuscript submitted to JAMES. Contains the Python and Fortran code needed to run the FV3GFS model with associated diagnostic radiation scheme, along with all of the machine learning, diagnostic, and other workflow code needed to reproduce the paper results. Also contains Jupyter notebooks that produce the figures in the manuscript. 

Files

radiation-cloud-ML-workflow-main.zip

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