Evaluation of nonidentical versus identical twin approaches for observation impact assessments: an ensemble-Kalman-filter-based   ocean assimilation application for the Gulf of Mexico

Yu, Liuqian; Fennel, Katja; Wang, Bin; Laurent, Arnaud; Thompson, Keith R.; Shay, Lynn K.

doi:https://doi.org/10.5194/os-15-1801-2019

Articles | Volume 15, issue 6

https://doi.org/10.5194/os-15-1801-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/os-15-1801-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 6

Research article

|

20 Dec 2019

Research article |

| 20 Dec 2019

Evaluation of nonidentical versus identical twin approaches for observation impact assessments: an ensemble-Kalman-filter-based ocean assimilation application for the Gulf of Mexico

Liuqian Yu, Katja Fennel, Bin Wang, Arnaud Laurent, Keith R. Thompson, and Lynn K. Shay

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Final revised paper (published on 20 Dec 2019)
Preprint (discussion started on 06 Aug 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee comments', Anonymous Referee #1, 10 Sep 2019
- AC1: 'Responses to Referee #1', Liuqian Yu, 16 Oct 2019
RC2: 'DA system evaluation', Anonymous Referee #2, 18 Sep 2019
- AC2: 'Responses to Referee #2', Liuqian Yu, 16 Oct 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Liuqian Yu on behalf of the Authors (29 Oct 2019) Author's response Manuscript

ED: Publish as is (24 Nov 2019) by Eric J.M. Delhez

Short summary

We present a first direct comparison of nonidentical versus identical twin approaches for an ocean data assimilation system. We show that the identical twin approach overestimates the value of assimilating satellite observations and undervalues the benefit of assimilating temperature and salinity profiles. Misleading assessments such as undervaluing the impact of observational assets are problematic and can lead to misguided decisions on balancing investments among different observing assets.