Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

SMOS sea surface salinity prototype processor: Algorithm validation

Abstract : The Soil Moisture and Ocean Salinity (SMOS) mission (launch scheduled for 2008) aims at obtaining global maps of soil moisture and sea surface salinity (SSS). It uses an L-band (1.4 GHz) microwave interferometric radiometer to obtain brightness temperatures (Tb) at the Earth surface at horizontal and vertical polarizations. They will be used to retrieve both geophysical variables, following specifically designed algorithms that will be applied when the satellite field-of-view is covering land or ocean surfaces respectively. The retrieval of salinity is a complex process that requires the knowledge of environmental information and an accurate processing of the radiometer measurements, because of the narrow range of ocean Tb and the strong impact on the measures of geophysical parameters (such as sea state). Here we present the baseline approach chosen to retrieve sea surface salinity from SMOS data, as developed and implemented by the joint team of scientists and engineers responsible for the SMOS Salinity Level 2 Prototype Processor. We present academic tests conducted over homogeneous scenes with the prototype. In these configurations, external perturbation sources (sky radiation, sun glint, ...) are not taken into account. Roughness is the main sea surface signal disturbing SSS retrieval.
Document type :
Conference papers
Complete list of metadata
Contributor : Catherine Cardon Connect in order to contact the contributor
Submitted on : Monday, February 21, 2022 - 4:03:50 PM
Last modification on : Thursday, July 7, 2022 - 3:20:20 AM



Sonia Zine, Jacqueline Boutin, Jordi Font, C. Gabarro, M. Talone, et al.. SMOS sea surface salinity prototype processor: Algorithm validation. 2007 IEEE International Geoscience and Remote Sensing Symposium, Jul 2007, Barcelona, Spain. pp.3955-3958, ⟨10.1109/IGARSS.2007.4423714⟩. ⟨insu-03583112⟩



Record views