Articles | Volume 15, issue 3
https://doi.org/10.5194/os-15-543-2019
https://doi.org/10.5194/os-15-543-2019
Research article
 | 
22 May 2019
Research article |  | 22 May 2019

Data assimilation of Soil Moisture and Ocean Salinity (SMOS) observations into the Mercator Ocean operational system: focus on the El Niño 2015 event

Benoît Tranchant, Elisabeth Remy, Eric Greiner, and Olivier Legalloudec

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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 Benoit Tranchant on behalf of the Authors (06 Feb 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Feb 2019) by Ananda Pascual
RR by Anonymous Referee #1 (26 Feb 2019)
RR by Anonymous Referee #2 (26 Feb 2019)
ED: Publish subject to minor revisions (review by editor) (07 Mar 2019) by Ananda Pascual
AR by Benoit Tranchant on behalf of the Authors (19 Mar 2019)  Author's response    Manuscript
ED: Publish as is (30 Mar 2019) by Ananda Pascual
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Short summary
This work deals with the use of sea surface salinity measurements from space in the context of operational oceanography. The salinity plays an important role in the ocean–atmosphere coupling, especially when an El Niño event occurs in the tropical Pacific. However, it is still difficult to use such data in ocean models due to a large extent to large-scales biases. This study shows that from recent data with a suitable bias correction scheme, it is possible to improve our forecast skill.