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Blended SMOS-SMAP SSS product in marginal seas

AuthorsMartínez, Justino CSIC ORCID ; Olmedo, Estrella CSIC ORCID ; González Gambau, Verónica ; Turiel, Antonio CSIC ORCID ; Yueh, Simon
Issue Date2017
PublisherInstitute of Electrical and Electronics Engineers
Citation2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 2931-2934 (2017)
AbstractA new debiased non-Bayesian methodology has demonstrated to be very effective for the retrieval of Sea Surface Salinity (SSS) from brightness temperature (TB) measured by Soil Moisture and Ocean Salinity (SMOS) interferometric radiometer. Applying this methodology it is possible to retrieve SSS values in marginal seas or cold waters where the operational retrieval does not. Another important improvement is the possibility of defining a SMOS-based climatology to characterize spatial biases. Recently, using data from the Soil Moisture Active Passive (SMAP) mission, JPL has started to produce a new 9-km resolution TB product. The existence of such product offers the possibility of increasing the spatial resolution and quality of the mentioned SMOS SSS product using fusion techniques. The aim of this work is to produce high resolution SSS maps in marginal seas derived from the fusion of SMAP 9-km TB and SMOS non-Bayesian debiased SSS products
Description2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23-28 July 2017, Fort Worth, TX, USA.-- 4 pages
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