Articles | Volume 15, issue 24
https://doi.org/10.5194/gmd-15-9031-2022
https://doi.org/10.5194/gmd-15-9031-2022
Methods for assessment of models
 | 
20 Dec 2022
Methods for assessment of models |  | 20 Dec 2022

The E3SM Diagnostics Package (E3SM Diags v2.7): a Python-based diagnostics package for Earth system model evaluation

Chengzhu Zhang, Jean-Christophe Golaz, Ryan Forsyth, Tom Vo, Shaocheng Xie, Zeshawn Shaheen, Gerald L. Potter, Xylar S. Asay-Davis, Charles S. Zender, Wuyin Lin, Chih-Chieh Chen, Chris R. Terai, Salil Mahajan, Tian Zhou, Karthik Balaguru, Qi Tang, Cheng Tao, Yuying Zhang, Todd Emmenegger, Susannah Burrows, and Paul A. Ullrich

Model code and software

E3SM-Project/e3sm_diags: v2.8.0 (v2.8.0) Chengzhu Zhang, Chris Golaz, Ryan Forsyth, Tom Vo, Zeshawn Shaheen, Xylar Asay-Davis, Andrew M. Bradley, and Charles Doutriaux https://doi.org/10.5281/zenodo.7388003

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Short summary
Earth system model (ESM) developers run automated analysis tools on data from candidate models to inform model development. This paper introduces a new Python package, E3SM Diags, that has been developed to support ESM development and use routinely in the development of DOE's Energy Exascale Earth System Model. This tool covers a set of essential diagnostics to evaluate the mean physical climate from simulations, as well as several process-oriented and phenomenon-based evaluation diagnostics.