Articles | Volume 16, issue 13
Methods for assessment of models
13 Jul 2023
Methods for assessment of models |  | 13 Jul 2023

Evaluating precipitation distributions at regional scales: a benchmarking framework and application to CMIP5 and 6 models

Min-Seop Ahn, Paul A. Ullrich, Peter J. Gleckler, Jiwoo Lee, Ana C. Ordonez, and Angeline G. Pendergrass


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2022-1106', Hong Yan, 24 Feb 2023
    • AC1: 'Reply on CC1', Min-Seop Ahn, 20 Apr 2023
  • RC1: 'Comment on egusphere-2022-1106', Anonymous Referee #1, 23 Mar 2023
    • AC2: 'Reply on RC1', Min-Seop Ahn, 20 May 2023
  • RC2: 'Comment on egusphere-2022-1106', Anonymous Referee #2, 12 May 2023
    • AC3: 'Reply on RC2', Min-Seop Ahn, 20 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Min-Seop Ahn on behalf of the Authors (22 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (07 Jun 2023) by Sophie Valcke
AR by Min-Seop Ahn on behalf of the Authors (08 Jun 2023)  Author's response   Manuscript 
Short summary
We introduce a framework for regional-scale evaluation of simulated precipitation distributions with 62 climate reference regions and 10 metrics and apply it to evaluate CMIP5 and CMIP6 models against multiple satellite-based precipitation products. The common model biases identified in this study are mainly associated with the overestimated light precipitation and underestimated heavy precipitation. These biases persist from earlier-generation models and have been slightly improved in CMIP6.