Benefits of the future sea surface salinity measurements from SMOS: Generation and characteristics of SMOS geophysical products
| Type | Article | ||||||||
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| Date | 2008-03 | ||||||||
| Language | English | ||||||||
| 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. |
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| Source | IEEE Transactions on Geoscience and Remote Sensing (0196-2892) (IEEE), 2008-03 , Vol. 46 , N. 3 , P. 746-753 | ||||||||
| DOI | 10.1109/TGRS.2007.914802 | ||||||||
| 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). | ||||||||
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