Articles | Volume 15, issue 8
Geosci. Model Dev., 15, 3205–3231, 2022
https://doi.org/10.5194/gmd-15-3205-2022
Geosci. Model Dev., 15, 3205–3231, 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 et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-331', Anonymous Referee #1, 07 Dec 2021
  • RC2: 'Comment on gmd-2021-331', Anonymous Referee #2, 21 Dec 2021
  • CC1: 'Comment on gmd-2021-331', Sean Santos, 05 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Hui Wan on behalf of the Authors (03 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (07 Mar 2022) by Axel Lauer
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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.