Sea Surface Salinity Remote SensingEmmanuel P. Dinnat, Xiaobin Yin This Special Issue gathers papers reporting research on various aspects of remote sensing of Sea Surface Salinity (SSS) and the use of satellite SSS in oceanography. It includes contributions presenting improvements in empirical or theoretical radiative transfer models; mitigation techniques of external interference such as RFI and land contamination; comparisons and validation of remote sensing products with in situ observations; retrieval techniques for improved coastal SSS monitoring, high latitude SSS and the assessment of ocean interactions with the cryosphere; and data fusion techniques combining SSS with sea surface temperature (SST). New instrument technology for the future of SSS remote sensing is also presented. |
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analysis anomalies antenna Aquarius Arctic Ocean areas Argo assessment associated Atlantic atmospheric average bias biases buoy CalCOFI calibration changes coast coastal cold compared comparison computed consistent constant contamination contributions correction corresponding CrossRef Current cycle datasets dependence deviation differences discharge distribution effect errors estimate field Figure freshwater function Geophys global grid HYCOM IEEE impact improved increase indicate L-band land larger latitudes Level locations maps mean measurements microwave mission monthly noise North observed obtained Ocean Pacific performance period present radiometer reference regions Remote Sens REMSS reported resolution respectively retrieval retrieval algorithm river RMSD salinity retrieval satellite scales sea surface salinity seasonal Sensing shown shows signal situ SMAP SSS SMOS SMOSSSS South Space spatial SSSAs standard Table temperature temporal uncertainty validation values variability variations Version wind