FN Archimer Export Format PT J TI Benefits of the future sea surface salinity measurements from SMOS: Generation and characteristics of SMOS geophysical products BT AF OBLIGIS, E BOONE, C LARNICOL, G PHILIPPS, S TRANCHANT, B LE TRAON, Pierre-Yves AS 1:1;2:1;3:1;4:1;5:2;6:3; FF 1:;2:;3:;4:;5:;6:PDG-DOP-DCB-OPS-LOS; C1 Collecte Localisat Satellites, Space Oceanog Div, F-31520 Ramonville St Agne, France. CERFACS, F-31057 Toulouse 01, France. Inst Francais Rech Exploitat Mer, F-29280 Plouzane, France. C2 CLS, FRANCE CERFACS, FRANCE IFREMER, FRANCE SI BREST SE PDG-DOP-DCB-OPS-LOS IN WOS Ifremer jusqu'en 2018 copubli-france IF 3.157 TC 1 UR https://archimer.ifremer.fr/doc/2008/publication-3773.pdf LA English DT Article DE ;Soil Moisture and Ocean Salinity SMOS;Sea surface salinity SSS;Remote sensing;Optimal interpolation;Microwave radiometry;Brightness temperatures AB 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). PY 2008 PD MAR SO IEEE Transactions on Geoscience and Remote Sensing SN 0196-2892 PU IEEE VL 46 IS 3 UT 000253734200016 BP 746 EP 753 DI 10.1109/TGRS.2007.914802 ID 3773 ER EF