Benefits of the future sea surface salinity measurements from SMOS: Generation and characteristics of SMOS geophysical products
|Author(s)||Obligis E1, Boone C1, Larnicol G1, Philipps S1, Tranchant B2, Le Traon Pierre-Yves3|
|Affiliation(s)||1 : Collecte Localisat Satellites, Space Oceanog Div, F-31520 Ramonville St Agne, France.
2 : CERFACS, F-31057 Toulouse 01, France.
3 : Inst Francais Rech Exploitat Mer, F-29280 Plouzane, France.
|Source||IEEE Transactions on Geoscience and Remote Sensing (0196-2892) (IEEE), 2008-03 , Vol. 46 , N. 3 , P. 746-753|
|WOS© Times Cited||1|
|Keyword(s)||Soil Moisture and Ocean Salinity SMOS, Sea surface salinity SSS, Remote sensing, Optimal interpolation, Microwave radiometry, Brightness temperatures|
|Abstract||Soil Moisture and Ocean Salinity (SMOS) level 2 and level 3 products are simulated and characterized over a one-year time period. A simulator is first used to evaluate the sea surface salinity (SSS) error of level 2 SMOS products. An optimal interpolation method is then adapted to map the surface salinity in order to simulate a level 3 SMOS product. The quality of the simulated products is satisfactory. The mean error of the SSS at pixel scale is around 1 psu, and the error on the final gridded product fits the Global Ocean Data Assimilation Experiment requirements (0.2 psu).|