Determination of satellite-based sea surface temperature (SST) dates back to the 1970s, and it was derived using measured brightness temperature (BT) of 11 and 12 μm channels only. Although triple-window algorithm (TWA) including shortwave infrared (SWIR) channel/s is a proven better option for SST retrieval, generation of linear coefficients including shortwave channels during daylight hours is extremely challenging due to the highly nonlinear contribution of solar reflection and scattering. On the other hand, SWIR channel/s can be easily incorporated in physical deterministic SST (PDSST) retrieval method. A successful implementation of SWIR channels for daytime SST retrieval in operational environment from MODIS-AQUA using PDSST method is discussed here. The performances of newly developed PDSST are validated by two different ways using: a) collocated in-situ measurements (buoys/Argos) quantitively and b) microwave SST from AMSR2 qualitatively. This study mainly focuses on the Indian Ocean region that is known to be a most oceanographic dynamic region among all Oceans. Also, the performances of newly developed PDSST are compared with the quality of the currently NASA-distributed MODIS-AQUA SST, obtained from Physical Oceanography Distributed Active Archive Center (PO.DAAC). An enormous improvement in the quality and coverage for daytime SST data by PDSST using SWIR channels as compared to currently operational PO.DAAC SST product that is regression based without SWIR channels is reported in this paper.
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