Articles | Volume 42, issue 2
https://doi.org/10.5194/angeo-42-331-2024
https://doi.org/10.5194/angeo-42-331-2024
Regular paper
 | 
23 Jul 2024
Regular paper |  | 23 Jul 2024

Sensitivity analysis of a Martian atmospheric column model with data from the Mars Science Laboratory

Joonas Leino, Ari-Matti Harri, Mark Paton, Jouni Polkko, Maria Hieta, and Hannu Savijärvi

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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 egusphere-2023-846', Franck Montmessin, 10 Aug 2023
    • AC3: 'Reply on CC1', Joonas Leino, 12 Mar 2024
  • RC1: 'Comment on egusphere-2023-846', Anonymous Referee #1, 13 Feb 2024
    • AC1: 'Reply on RC1', Joonas Leino, 12 Mar 2024
  • RC2: 'Comment on egusphere-2023-846', Anonymous Referee #2, 11 Mar 2024
    • AC2: 'Reply on RC2', Joonas Leino, 12 Mar 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (27 Mar 2024) by Dalia Buresova
AR by Joonas Leino on behalf of the Authors (27 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Apr 2024) by Dalia Buresova
RR by Anonymous Referee #2 (11 Apr 2024)
RR by Anonymous Referee #1 (12 May 2024)
ED: Publish subject to minor revisions (review by editor) (24 May 2024) by Dalia Buresova
AR by Joonas Leino on behalf of the Authors (27 May 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 Jun 2024) by Dalia Buresova
AR by Joonas Leino on behalf of the Authors (13 Jun 2024)  Manuscript 
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Short summary
The 1-D column model has been used extensively in studying the Martian atmosphere. In this study, we investigated the sensitivity of the column model to its initialization. The results of the model were compared with Curiosity rover measurements. The initial value of airborne dust and surface temperature had the greatest influence on the temperature prediction, while the initial atmospheric moisture content and the shape of the initial moisture profile modified the humidity prediction the most.