Articles | Volume 30, issue 4
Research article
23 Oct 2023
Research article |  | 23 Oct 2023

Comparative study of strongly and weakly coupled data assimilation with a global land–atmosphere coupled model

Kenta Kurosawa, Shunji Kotsuki, and Takemasa Miyoshi


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-887', Zheqi Shen, 16 Jun 2023
    • AC1: 'Reply on RC1', Kenta Kurosawa, 22 Aug 2023
  • RC2: 'Comment on egusphere-2023-887', Anonymous Referee #2, 17 Jun 2023
    • AC2: 'Reply on RC2', Kenta Kurosawa, 22 Aug 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Kenta Kurosawa on behalf of the Authors (22 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 Aug 2023) by Wansuo Duan
RR by Anonymous Referee #2 (24 Aug 2023)
RR by Zheqi Shen (24 Aug 2023)
ED: Publish as is (05 Sep 2023) by Wansuo Duan
AR by Kenta Kurosawa on behalf of the Authors (09 Sep 2023)  Author's response   Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Kenta Kurosawa on behalf of the Authors (19 Oct 2023)   Author's adjustment   Manuscript
EA: Adjustments approved (20 Oct 2023) by Wansuo Duan
Short summary
This study aimed to enhance weather and hydrological forecasts by integrating soil moisture data into a global weather model. By assimilating atmospheric observations and soil moisture data, the accuracy of forecasts was improved, and certain biases were reduced. The method was found to be particularly beneficial in areas like the Sahel and equatorial Africa, where precipitation patterns vary seasonally. This new approach has the potential to improve the precision of weather predictions.