Impact of Swot altimetry missions to Ocean analysis and forecast system

Mounir Benkiran (mercator-ocean, France)


Elisabeth Remy (Mercator-ocean, France); Yann Drillet (Mercator-Ocean, France); Pierre-Yves Le Traon (Mercator-Ocean / IFRMER, France)

Event: 2017 Ocean Surface Topography Science Team Meeting

Session: Science III: Mesoscale and sub-mesoscale oceanography

Presentation type: Type Poster

Impact of Swot altimetry missions to Ocean analysis and forecast system

M. Benkiran(1), E. Remy(1), Y. Drillet and P.Y. Le Traon(1,2)
(1) Mercator-ocean Toulouse (2) IFREMER, Brest

In Mercator-Ocean analysis and forecasting systems we assimilate along track sea level anomalies from conventional altimetry missions (Jason2, Envisat, SARAL / Alti-ka, Cryosat-2 ...). Here we will test the assimilation of a new data such as the one that will be provided by the future SWOT mission. The SWOT mission will allow us to obtain for the first time altimetry measurements at high resolution on a swath. It is a mission with great technological and scientific issues.
In this study, an OSSE baseline was used to underline the observing capability of an altimeter constellation including SWOT to better sample mesoscale and submesoscale ocean signal in an assimilation context. A regional assimilation system developed within the team Mercator-Ocean is used for this study. This system is based on a regional model covering the Iberia-Biscay-Ireland region (IBI) at high-resolution (~ 7km) and the assimilation system SAM2 used in Mercator-ocean. The simulated data sets used for these experiments were extracted from the outputs of a higher resolution model NEMO-NATL60 with 1/60° (North Atlantic simulation from LGGE team, Grenoble; Le Sommer & al.). We highlight the improvement of the analysis and prediction scores thanks to the assimilation of the large swath SWOT observations compared to a constellation of conventional nadir altimeters only.

Poster show times:

RoomStart DateEnd Date
Concerto Ballroom Thu, Oct 26 2017,14:00 Thu, Oct 26 2017,18:00
Mounir Benkiran