Articles | Volume 17, issue 10
https://doi.org/10.5194/gmd-17-4433-2024
https://doi.org/10.5194/gmd-17-4433-2024
Development and technical paper
 | 
29 May 2024
Development and technical paper |  | 29 May 2024

WRF-PDAF v1.0: implementation and application of an online localized ensemble data assimilation framework

Changliang Shao and Lars Nerger

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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 egusphere-2023-2311', Anonymous Referee #1, 10 Dec 2023
    • AC1: 'Reply on RC1', Changliang Shao, 13 Dec 2023
  • RC2: 'Comment on egusphere-2023-2311', Anonymous Referee #2, 10 Mar 2024
    • AC2: 'Reply on RC2', Changliang Shao, 14 Mar 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Changliang Shao on behalf of the Authors (14 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 Mar 2024) by Yuefei Zeng
RR by Anonymous Referee #1 (28 Mar 2024)
RR by Anonymous Referee #2 (03 Apr 2024)
ED: Publish as is (07 Apr 2024) by Yuefei Zeng
AR by Changliang Shao on behalf of the Authors (10 Apr 2024)  Author's response   Manuscript 
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Short summary
This paper introduces and evaluates WRF-PDAF, a fully online-coupled ensemble data assimilation (DA) system. A key advantage of the WRF-PDAF configuration is its ability to concurrently integrate all ensemble states, eliminating the need for time-consuming distribution and collection of ensembles during the coupling communication. The extra time required for DA amounts to only 20.6 % per cycle. Twin experiment results underscore the effectiveness of the WRF-PDAF system.