Articles | Volume 15, issue 8
https://doi.org/10.5194/gmd-15-3205-2022
https://doi.org/10.5194/gmd-15-3205-2022
Development and technical paper
 | 
19 Apr 2022
Development and technical paper |  | 19 Apr 2022

CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM)

Hui Wan, Kai Zhang, Philip J. Rasch, Vincent E. Larson, Xubin Zeng, Shixuan Zhang, and Ross Dixon

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Latest update: 24 Jul 2024
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Short summary
This paper describes a tool embedded in a global climate model for sampling atmospheric conditions and monitoring physical processes as a numerical simulation is being carried out. The tool facilitates process-level model evaluation by allowing the users to select a wide range of quantities and processes to monitor at run time without having to do tedious ad hoc coding.