Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3879-2024
https://doi.org/10.5194/gmd-17-3879-2024
Development and technical paper
 | 
15 May 2024
Development and technical paper |  | 15 May 2024

Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta)

Byoung-Joo Jung, Benjamin Ménétrier, Chris Snyder, Zhiquan Liu, Jonathan J. Guerrette, Junmei Ban, Ivette Hernández Baños, Yonggang G. Yu, and William C. Skamarock

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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-2023-131', Anonymous Referee #1, 27 Jul 2023
    • AC1: 'Reply on RC1', Byoung-Joo Jung, 18 Nov 2023
  • RC2: 'Comment on gmd-2023-131', Anonymous Referee #2, 13 Sep 2023
    • AC2: 'Reply on RC2', Byoung-Joo Jung, 18 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Byoung-Joo Jung on behalf of the Authors (18 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Dec 2023) by Shu-Chih Yang
RR by Anonymous Referee #1 (26 Dec 2023)
RR by Anonymous Referee #2 (08 Jan 2024)
ED: Publish subject to minor revisions (review by editor) (26 Jan 2024) by Shu-Chih Yang
AR by Byoung-Joo Jung on behalf of the Authors (06 Feb 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (24 Mar 2024) by Shu-Chih Yang
AR by Byoung-Joo Jung on behalf of the Authors (02 Apr 2024)  Author's response   Manuscript 
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Short summary
We describe the multivariate static background error covariance (B) for the JEDI-MPAS 3D-Var data assimilation system. With tuned B parameters, the multivariate B gives physically balanced analysis increment fields in the single-observation test framework. In the month-long cycling experiment with a global 60 km mesh, 3D-Var with static B performs stably. Due to its simple workflow and minimal computational requirements, JEDI-MPAS 3D-Var can be useful for the research community.