Published 2024
| Version v2
Dataset
Open
Code and dataset for Barthel et. al. (2024)
Authors/Creators
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1.
Massachusetts Institute of Technology
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2.
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)
| Name | Size | Download all |
|---|---|---|
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md5:f132ec1b3d318adf82a3594ebd14103f
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7.0 MB | Preview Download |
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md5:a19ebea60ae014954f55e88d0f510ee3
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11.2 GB | Preview Download |