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Volume 14, issue 5 | Copyright

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

Ocean Sci., 14, 1093-1126, 2018
https://doi.org/10.5194/os-14-1093-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Sep 2018

Research article | 25 Sep 2018

Recent updates to the Copernicus Marine Service global ocean monitoring and forecasting real-time 1∕12° high-resolution system

Jean-Michel Lellouche1, Eric Greiner2, Olivier Le Galloudec1, Gilles Garric1, Charly Regnier1, Marie Drevillon1, Mounir Benkiran1, Charles-Emmanuel Testut1, Romain Bourdalle-Badie1, Florent Gasparin1, Olga Hernandez1, Bruno Levier1, Yann Drillet1, Elisabeth Remy1, and Pierre-Yves Le Traon1,3 Jean-Michel Lellouche et al.
  • 1Mercator Ocean, Ramonville Saint Agne, France
  • 2Collecte Localisation Satellites, Ramonville Saint Agne, France
  • 3IFREMER, 29280, Plouzané, France

Abstract. Since 19 October 2016, and in the framework of Copernicus Marine Environment Monitoring Service (CMEMS), Mercator Ocean has delivered real-time daily services (weekly analyses and daily 10-day forecasts) with a new global 1∕12° high-resolution (eddy-resolving) monitoring and forecasting system. The model component is the NEMO platform driven at the surface by the IFS ECMWF atmospheric analyses and forecasts. Observations are assimilated by means of a reduced-order Kalman filter with a three-dimensional multivariate modal decomposition of the background error. Along-track altimeter data, satellite sea surface temperature, sea ice concentration, and in situ temperature and salinity vertical profiles are jointly assimilated to estimate the initial conditions for numerical ocean forecasting. A 3D-VAR scheme provides a correction for the slowly evolving large-scale biases in temperature and salinity.

This paper describes the recent updates applied to the system and discusses the importance of fine tuning an ocean monitoring and forecasting system. It details more particularly the impact of the initialization, the correction of precipitation, the assimilation of climatological temperature and salinity in the deep ocean, the construction of the background error covariance and the adaptive tuning of observation error on increasing the realism of the analysis and forecasts.

The scientific assessment of the ocean estimations are illustrated with diagnostics over some particular years, assorted with time series over the time period 2007–2016. The overall impact of the integration of all updates on the product quality is also discussed, highlighting a gain in performance and reliability of the current global monitoring and forecasting system compared to its previous version.

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In the coming decades, a strong growth of the ocean economy is expected. Scientific advances in operational oceanography will play a crucial role in addressing many environmental challenges and in the development of ocean-related economic activities. In this context, remarkable improvements have been achieved with the current Mercator Ocean system. 3-D water masses, sea level, sea ice and currents have been improved, and thus major oceanic variables are hard to distinguish from the data.
In the coming decades, a strong growth of the ocean economy is expected. Scientific advances in...
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