Articles | Volume 15, issue 21
Model evaluation paper
11 Nov 2022
Model evaluation paper |  | 11 Nov 2022

Advancing precipitation prediction using a new-generation storm-resolving model framework – SIMA-MPAS (V1.0): a case study over the western United States

Xingying Huang, Andrew Gettelman, William C. Skamarock, Peter Hjort Lauritzen, Miles Curry, Adam Herrington, John T. Truesdale, and Michael Duda


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-111', Anonymous Referee #1, 04 Aug 2022
  • RC2: 'Comment on gmd-2022-111', Anonymous Referee #2, 06 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xingying Huang on behalf of the Authors (25 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 Sep 2022) by Fabien Maussion
RR by Anonymous Referee #1 (29 Sep 2022)
RR by Anonymous Referee #2 (13 Oct 2022)
ED: Publish subject to technical corrections (17 Oct 2022) by Fabien Maussion
Short summary
We focus on the recent development of a state-of-the-art storm-resolving global climate model and investigate how this next-generation model performs for precipitation prediction over the western USA. Results show realistic representations of precipitation with significantly enhanced snowpack over complex terrains. The model evaluation advances the unified modeling of large-scale forcing constraints and realistic fine-scale features to advance multi-scale climate predictions and changes.