Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1035-2020
https://doi.org/10.5194/gmd-13-1035-2020
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

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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
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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.