Articles | Volume 15, issue 12
Geosci. Model Dev., 15, 4805–4830, 2022
https://doi.org/10.5194/gmd-15-4805-2022
Geosci. Model Dev., 15, 4805–4830, 2022
https://doi.org/10.5194/gmd-15-4805-2022
Model evaluation paper
23 Jun 2022
Model evaluation paper | 23 Jun 2022

An online ensemble coupled data assimilation capability for the Community Earth System Model: system design and evaluation

Jingzhe Sun 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-2021-399', Anonymous Referee #1, 16 Feb 2022
    • AC1: 'Reply on RC1', Yingjing Jiang, 04 May 2022
  • RC2: 'Comment on gmd-2021-399', Anonymous Referee #2, 01 Apr 2022
    • AC2: 'Reply on RC2', Yingjing Jiang, 04 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yingjing Jiang on behalf of the Authors (04 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (07 May 2022) by Charles Onyutha
RR by Anonymous Referee #2 (19 May 2022)
RR by Anonymous Referee #1 (29 May 2022)
ED: Publish subject to minor revisions (review by editor) (29 May 2022) by Charles Onyutha
AR by Yingjing Jiang on behalf of the Authors (30 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Jun 2022) by Charles Onyutha
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Short summary
An online ensemble coupled data assimilation system with the Community Earth System Model is designed and evaluated. This system uses the memory-based information transfer approach which avoids frequent I/O operations. The observations of surface pressure, sea surface temperature, and in situ temperature and salinity profiles can be effectively assimilated into the coupled model. That will facilitate a long-term high-resolution climate reanalysis once the algorithm efficiency is much improved.