Articles | Volume 17, issue 10
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


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 
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.