Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 21
Articles | Volume 16, issue 21
https://doi.org/10.5194/gmd-16-6355-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6355-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 21
Methods for assessment of models
 | 
08 Nov 2023
Methods for assessment of models |  | 08 Nov 2023

Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations

Shuaiqi Tang, Adam C. Varble, Jerome D. Fast, Kai Zhang, Peng Wu, Xiquan Dong, Fan Mei, Mikhail Pekour, Joseph C. Hardin, and Po-Lun Ma

Supplement

https://doi.org/10.5194/gmd-16-6355-2023-supplement

Data sets

ESMAC Diags data Shuaiqi Tang, Jerome D. Fast, Adam C. Varble, Joseph C. Hardin, and Po-Lun Ma https://doi.org/10.5281/zenodo.7478657

Model code and software

ESMAC Diags code Shuaiqi Tang, Adam C. Varble, Jerome D. Fast, Joseph C. Hardin, and Po-Lun Ma https://doi.org/10.5281/zenodo.7696871

Energy Exascale Earth System Model v2.0 E3SM Project https://doi.org/10.11578/E3SM/dc.20210927.1.

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Short summary
To assess the ability of Earth system model (ESM) predictions, we developed a tool called ESMAC Diags to understand how aerosols, clouds, and aerosol–cloud interactions are represented in ESMs. This paper describes its version 2 functionality. We compared the model predictions with measurements taken by planes, ships, satellites, and ground instruments over four regions across the world. Results show that this new tool can help identify model problems and guide future development of ESMs.
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