Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3447-2022
https://doi.org/10.5194/gmd-15-3447-2022
Review and perspective paper
 | 
04 May 2022
Review and perspective paper |  | 04 May 2022

Empirical values and assumptions in the convection schemes of numerical models

Anahí Villalba-Pradas and Francisco J. Tapiador

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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-2021-61', Anonymous Referee #1, 02 Jun 2021
  • RC2: 'Comment on gmd-2021-61', Anonymous Referee #2, 23 Jul 2021
  • AC1: 'Comment on gmd-2021-61', Anahí Villalba-Pradas, 17 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anahí Villalba-Pradas on behalf of the Authors (30 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 Oct 2021) by Chiel van Heerwaarden
RR by Anonymous Referee #2 (02 Feb 2022)
ED: Reconsider after major revisions (02 Feb 2022) by Chiel van Heerwaarden
AR by Anahí Villalba-Pradas on behalf of the Authors (07 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (23 Mar 2022) by Chiel van Heerwaarden
AR by Anahí Villalba-Pradas on behalf of the Authors (31 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Apr 2022) by Chiel van Heerwaarden
AR by Anahí Villalba-Pradas on behalf of the Authors (07 Apr 2022)  Author's response    Manuscript
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Short summary
The paper provides a comprehensive review of the empirical values and assumptions used in the convection schemes of numerical models. The focus is on the values and assumptions used in the activation of convection (trigger), the transport and microphysics (commonly referred to as the cloud model), and the intensity of convection (closure). Such information can assist satellite missions focused on elucidating convective processes and the evaluation of model output uncertainties.