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


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 | EF: Editorial file upload
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
AR by Hui Wan on behalf of the Authors (09 Mar 2022)
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.