Journal cover Journal topic
Ocean Science An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.539 IF 2.539
  • IF 5-year value: 3.129 IF 5-year
    3.129
  • CiteScore value: 2.78 CiteScore
    2.78
  • SNIP value: 1.217 SNIP 1.217
  • IPP value: 2.62 IPP 2.62
  • SJR value: 1.370 SJR 1.370
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 48 Scimago H
    index 48
  • h5-index value: 32 h5-index 32
OS | Articles | Volume 15, issue 3
Ocean Sci., 15, 543–563, 2019
https://doi.org/10.5194/os-15-543-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: The Copernicus Marine Environment Monitoring Service (CMEMS):...

Ocean Sci., 15, 543–563, 2019
https://doi.org/10.5194/os-15-543-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.
Viewed  
Total article views: 808 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
615 186 7 808 11 14
  • HTML: 615
  • PDF: 186
  • XML: 7
  • Total: 808
  • BibTeX: 11
  • EndNote: 14
Views and downloads (calculated since 22 Oct 2018)
Cumulative views and downloads (calculated since 22 Oct 2018)
Viewed (geographical distribution)  
Total article views: 662 (including HTML, PDF, and XML) Thereof 660 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 15 Sep 2019
Publications Copernicus
Download
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.
This work deals with the use of sea surface salinity measurements from space in the context of...
Citation