Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/27286
Título : An algorithm to retrieve sea surface salinity from SMOS L-band radiometric measurements
Autor : Font, Jordi, Boutin, Jacqueline, Reul, Nicolás, Waldteufel, Philippe, Gabarró, Carolina, Zine, Sonia, Tenerelli, Joseph, Petitcolin, François, Vergely, Jean-Luc, Talone, Marco
Fecha de publicación : 2006
Editor: Universidad de Valencia
Resumen: The European Space Agency Soil Moisture and Ocean Salinity (SMOS) mission, the second of the ESA's Living Planet Program Earth Explorer Opportunity Missions, aims at obtaining global maps of soil moisture and sea surface salinity from space for large scale and climatic studies. This mission, with launch scheduled for early 2008, uses and L-band (1400-1427 MHz protected to human emissions) Microwave Interferometric Radiometer by Aperture Synthesis (MIRAS) to measure brightness temperature at the Earth surface at horizontal Th and vertical Tv polarizations (a fully polarized mode is also implemented and will be tested during the commissioning phase). These radiometric parameters will be be used together to retrieve the two geophysical variables, following specifically designed algorithms that will be applied when the satellite field-of-view is covering land or ocean surfaces. The retrieval of salinity is a complex process that requires the knowledge of the other evironmental information and an accurate processing of the radiometer measurements, due to the narrow range of ocean brightness temperatures and the strong impact in the measured values of different gephysical parameters (as sea state) other than salinity. Here we present the baseline approach chosen by ESA to retrieve sea surface salinity from MIRAS data, as it has been developed and implemented by the joint team of scientists and engineers responsible for the SMOS Ocean Salinity Level 2 Prototype Processor
Descripción : 2nd Recent Advances in Quantitative Remote Sensing (RAQRS'II), 24-29 September 2006, Torrent, Valencia, Spain.-- 6 pages, 2 figures
URI : http://hdl.handle.net/10261/27286
ISBN : 84-370-6533-X
Citación : Proceedings 2nd Recent Advances in Quantitative Remote Sensing: 854-858 (2006)
Appears in Collections:(ICM) Artículos

Files in This Item:
There are no files associated with this item.
Show full item record
 
CSIC SFX LinksSFX Query

Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.