Articles | Volume 15, issue 18
Geosci. Model Dev., 15, 7203–7220, 2022
https://doi.org/10.5194/gmd-15-7203-2022
Geosci. Model Dev., 15, 7203–7220, 2022
https://doi.org/10.5194/gmd-15-7203-2022
Methods for assessment of models
26 Sep 2022
Methods for assessment of models | 26 Sep 2022

Analog data assimilation for the selection of suitable general circulation models

Juan Ruiz et al.

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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-2021-434', Anonymous Referee #1, 11 Mar 2022
    • AC1: 'Reply on RC1', Juan Ruiz, 16 Jun 2022
  • RC2: 'Comment on gmd-2021-434', Anonymous Referee #2, 23 May 2022
    • AC2: 'Reply on RC2', Juan Ruiz, 16 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Juan Ruiz on behalf of the Authors (17 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (29 Jun 2022) by Travis O'Brien
RR by Anonymous Referee #1 (30 Jun 2022)
RR by Anonymous Referee #2 (07 Jul 2022)
ED: Publish subject to minor revisions (review by editor) (15 Jul 2022) by Travis O'Brien
AR by Juan Ruiz on behalf of the Authors (16 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (18 Jul 2022) by Travis O'Brien
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Short summary
We present a new approach to validate numerical simulations of the current climate. The method can take advantage of existing climate simulations produced by different centers combining an analog forecasting approach with data assimilation to quantify how well a particular model reproduces a sequence of observed values. The method can be applied with different observations types and is implemented locally in space and time significantly reducing the associated computational cost.