Published 2024 | Version v2
Dataset Open

Code and dataset for Barthel et. al. (2024)

Authors/Creators

  • 1. ROR icon Massachusetts Institute of Technology
  • 2. ROR icon Pacific Northwest National Laboratory

Description

This archive contains data, code, and plotting scripts needed to generate the results described in Barthel et.al. (2024) A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics. The archive includes raw and processed data from simulations of a 2  layer Quasi-Geostrophic model generated using an in-house solver, simulations of DOE's E3SM Atmosphere Model Version 2 (EAMv2), and ERA5 reanalysis data.  A detailed description of the model and simulations can be found in Barthel et. al. (2024).

Files

E3SM_ML_Results.zip

Files (11.2 GB)

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md5:f132ec1b3d318adf82a3594ebd14103f
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md5:a19ebea60ae014954f55e88d0f510ee3
11.2 GB Preview Download