Articles | Volume 16, issue 4
https://doi.org/10.5194/gmd-16-1277-2023
https://doi.org/10.5194/gmd-16-1277-2023
Model description paper
 | 
22 Feb 2023
Model description paper |  | 22 Feb 2023

A new precipitation emulator (PREMU v1.0) for lower-complexity models

Gang Liu, Shushi Peng, Chris Huntingford, and Yi Xi

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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-2022-144', Anonymous Referee #1, 05 Aug 2022
  • RC2: 'Comment on gmd-2022-144', Anonymous Referee #2, 14 Aug 2022
  • AC1: 'Response to reviewers', S. Peng, 30 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by S. Peng on behalf of the Authors (30 Nov 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (19 Dec 2022) by Fabien Maussion
RR by Anonymous Referee #1 (07 Jan 2023)
ED: Publish subject to minor revisions (review by editor) (13 Jan 2023) by Fabien Maussion
AR by S. Peng on behalf of the Authors (23 Jan 2023)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (31 Jan 2023) by Fabien Maussion
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Short summary
Due to computational limits, lower-complexity models (LCMs) were developed as a complementary tool for accelerating comprehensive Earth system models (ESMs) but still lack a good precipitation emulator for LCMs. Here, we developed a data-calibrated precipitation emulator (PREMU), a computationally effective way to better estimate historical and simulated precipitation by current ESMs. PREMU has potential applications related to land surface processes and their interactions with climate change.