Articles | Volume 15, issue 8
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

Data sets

EAMv1 simulation output from CondiDiag1.0 use case examples Hui Wan and Kai Zhang

Model code and software

CondiDiag1.0 implemented in EAMv1 Hui Wan, Kai Zhang, and Philip J. Rasch

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.