Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1803-2022
https://doi.org/10.5194/gmd-15-1803-2022
Model evaluation paper
 | 
03 Mar 2022
Model evaluation paper |  | 03 Mar 2022

Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM)

Justus Contzen, Thorsten Dickhaus, and Gerrit Lohmann

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on gmd-2021-225', Qingxiang Li, 24 Sep 2021
  • RC1: 'Comment on gmd-2021-225', Qingxiang Li, 28 Oct 2021
    • AC1: 'Reply on RC1', Justus Contzen, 03 Nov 2021
  • RC2: 'Comment on gmd-2021-225', Anna Kiriliouk, 29 Oct 2021
    • AC2: 'Reply on RC2', Justus Contzen, 03 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Justus Contzen on behalf of the Authors (21 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (10 Jan 2022) by Julia Hargreaves
RR by Anna Kiriliouk (25 Jan 2022)
ED: Publish as is (28 Jan 2022) by Julia Hargreaves
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Short summary
Climate models are of paramount importance to predict future climate changes. Since many severe consequences of climate change are due to extreme events, the accurate behaviour of models in terms of extremes needs to be validated thoroughly. We present a method for model validation in terms of climate extremes and an algorithm to detect regions in which extremes tend to occur at the same time. These methods are applied to data from different climate models and to observational data.