SMOS: The Challenging Sea Surface Salinity Measurement From Space
نویسندگان
چکیده
منابع مشابه
SMOS: Measuring Sea Surface Salinity from Space
In May 1999, the European Space Agency (ESA) selected SMOS as an Earth Explorer Opportunity mission. One of its goals is the generation of global Sea Surface Salinity (SSS) maps. The sensor embarked is an L-band interferometric radiometer with full-polarimetric capability called MIRAS. The retrieval of SSS from microwave measurements is based on the fact that the brightness temperature (TB) of ...
متن کاملSea Surface Salinity Retrieval within the ESA Soil Moisture and Ocean Salinity (SMOS) Mission
The SMOS (Soil Moisture and Ocean Salinity) mission will provide from 2007 onwards global maps of soil moisture over land and sea surface salinity over ocean. The radiometry group of the Technical University of Catalonia (UPC) in Barcelona has been involved either in the definition of the SMOS single payload, MIRAS (Microwave Imaging Radiometer by Aperture Synthesis), or in the organization of ...
متن کاملAssessment of the Local Oscillator calibration frequency impact on the SMOS Sea Surface Salinity
The MIRAS instrument has a unique reference clock that is distributed to the Control and Monitoring units (CMN) located in the SMOS arms and in the hub. Each CMN uses the clock signal, provided by the Local Oscillator, to generate a reference tone and provide it to a group of six receivers. Although every CMN should generate exactly the same tone, the phase of the tones drifts due to the temper...
متن کاملSea surface salinity under rain cells: SMOS satellite and in situ drifters observations
We study the signature of rainfall on S1cm, the sea surface salinity retrieved from the Soil Moisture and Ocean Salinity (SMOS) satellite mission first by comparing SMOS S1cm with ARGO sea surface salinity measured at about 5 m depth in the Intertropical Convergence Zone (ITCZ) and in the Southern Pacific Convergence Zone; second by investigating spatial variability of SMOS S1cm related to rain...
متن کاملBuilding a Learning Database for the Neural Network Retrieval of Sea Surface Salinity from SMOS Brightness Temperatures
This article deals with an important aspect of the neural network retrieval of sea surface salinity (SSS) from SMOS brightness temperatures (TBs). The neural network retrieval method is an empirical approach that offers the possibility of being independent from any theoretical emissivity model, during the in-flight phase. A Previous study [1] has proven that this approach is applicable to all p...
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ژورنال
عنوان ژورنال: Proceedings of the IEEE
سال: 2010
ISSN: 0018-9219,1558-2256
DOI: 10.1109/jproc.2009.2033096