FN Archimer Export Format PT J TI Impact on sea surface salinity retrieval of different auxiliary data within the SMOS mission BT AF SABIA, Roberto CAMPS, A VALL ILOSSERA, M REUL, Nicolas AS 1:1;2:1;3:1;4:2; FF 1:;2:;3:;4:PDG-DOP-DCB-OPS-LOS; C1 Univ Politecn Cataluna, Dept Signal Theory & Commun, ES-08034 Barcelona, Spain. IFREMER, Dept Oceanog Phys & Spatiale, F-29280 Plouzane, France. C2 UNIV POLITECN CATALUNA, SPAIN IFREMER, FRANCE SI BREST SE PDG-DOP-DCB-OPS-LOS IN WOS Ifremer jusqu'en 2018 copubli-europe IF 1.752 TC 25 UR https://archimer.ifremer.fr/doc/2006/publication-2011.pdf LA English DT Article DE ;Spatiotemporal averaging;Sea salinity;Microwave radiometry;Auxiliary data AB Aiming to provide sea surface salinity (SSS) maps with a spatiotemporal averaged accuracy of 0.1 psu (practical salinity units), the Soil Moisture and Ocean Salinity (SMOS) community is increasingly focusing on the determination of a robust inversion scheme to enable SSS retrieval from L-band brightness temperature data. In the framework of the Synergetic Aspects and Auxiliary Data Concepts for Sea Surface Salinity Measurements from Space project, efforts have been oriented toward a quantitative analysis of SSS retrieval using different auxiliary data sets. This paper aims to contribute to the assessment of the SMOS salinity retrieval error budget in view of the upcoming SMOS mission ground segment development. Aiming to do that, different models and auxiliary data to simulate and invert the brightness temperature data have been used. An estimation of the different auxiliary parameters' influence has been performed to quantitatively predict at what extent it is reasonable to expect to retrieve salinity once the brightness temperatures are directly measured by the sensor. Statistical distributions of the spatiotemporal averaged errors are provided. PY 2006 PD OCT SO IEEE Transactions on Geoscience and Remote Sensing SN 0196-2892 PU IEEE VL 44 IS 10 UT 000240881000016 BP 2769 EP 2778 DI 10.1109/TGRS.2006.879108 ID 2011 ER EF