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

Li, Jiangyu; Zhang, Shaoqing

doi:https://doi.org/10.5194/gmd-13-1035-2020

Articles | Volume 13, issue 3

https://doi.org/10.5194/gmd-13-1035-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-1035-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

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Final revised paper (published on 10 Mar 2020)
Preprint (discussion started on 07 Oct 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review For GMD: “Mitigation of Model Bias influence on wave Data assimilation with multiple Assimilation systems Using WaveWatch III v5.16 and SWAN v41.20” By Li and Zhang', Anonymous Referee #1, 27 Nov 2019
- AC1: 'Interactive comment on “Mitigation of Model Bias Influences on Wave Data Assimilation with Multiple Assimilation Systems Using WaveWatch III v5.16 and SWAN v41.20” from anonymous referee #1', Jiangyu Li, 07 Jan 2020
RC2: 'Mitigation of Model Bias Influences on Wave Data Assimilation with Multiple Assimilation Systems Using WaveWatch III v5.16 and SWAN v41.20', Anonymous Referee #2, 09 Dec 2019
- AC2: 'Interactive comment on “Mitigation of Model Bias Influences on Wave Data Assimilation with Multiple Assimilation Systems Using WaveWatch III v5.16 and SWAN v41.20” from anonymous referee #2', Jiangyu Li, 07 Jan 2020

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

AR by Jiangyu Li on behalf of the Authors (04 Feb 2020)

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.