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

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).