Articles | Volume 13, issue 3
Development and technical paper
10 Mar 2020
Development and technical paper |  | 10 Mar 2020

Mitigation of model bias influences on wave data assimilation with multiple assimilation systems using WaveWatch III v5.16 and SWAN v41.20

Jiangyu Li and Shaoqing Zhang


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jiangyu Li on behalf of the Authors (07 Jan 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (15 Jan 2020) by Qiang Wang
RR by Anonymous Referee #1 (23 Jan 2020)
RR by Anonymous Referee #2 (30 Jan 2020)
ED: Publish as is (30 Jan 2020) by Qiang Wang
Short summary
Two assimilation systems developed using two nearly independent wave models are used to study the influences of various error sources including mode bias on wave data assimilation; a statistical method is explored to make full use of the merits of individual assimilation systems for bias correction, thus improving wave analysis greatly. This study opens a door to further our understanding of physical processes in waves and associated air–sea interactions for improving wave modeling.