Articles | Volume 13, issue 11
Geosci. Model Dev., 13, 5175–5190, 2020
https://doi.org/10.5194/gmd-13-5175-2020
Geosci. Model Dev., 13, 5175–5190, 2020
https://doi.org/10.5194/gmd-13-5175-2020

Model experiment description paper 31 Oct 2020

Model experiment description paper | 31 Oct 2020

Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response

Zebedee R. J. Nicholls et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Zebedee R. Nicholls on behalf of the Authors (22 Jun 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (28 Jun 2020) by Carlos Sierra
RR by Anonymous Referee #1 (13 Jul 2020)
ED: Reconsider after major revisions (15 Jul 2020) by Carlos Sierra
AR by Zebedee R. Nicholls on behalf of the Authors (26 Aug 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (04 Sep 2020) by Carlos Sierra
Download
Short summary
Computational limits mean that we cannot run our most comprehensive climate models for all applications of interest. In such cases, reduced complexity models (RCMs) are used. Here, researchers working on 15 different models present the first systematic community effort to evaluate and compare RCMs: the Reduced Complexity Model Intercomparison Project (RCMIP). Our research ensures that users of RCMs can more easily evaluate the strengths, weaknesses and limitations of their tools.