期刊名称：Tellus A: Dynamic Meteorology and Oceanography
电子版ISSN：1600-0870
出版年度：2019
卷号：71
期号：1
页码：1-19
DOI：10.1080/16000870.2019.1657767
摘要：This paper presents results of physical retrieval of sea-surface temperature (SST) from the INSAT-3D imager
observations. Radiance measurements from two thermal infrared imager channels are used for retrieving
SST. Prior to their use in the retrieval process, the INSAT-3D radiances are corrected for the biases using a
newly developed algorithm. The physical retrieval of SST is performed using an optimal estimation method.
The optimisation is performed under two scenarios. In the first scenario, the SST retrieval problem is
assumed to be linear while in the second one, the assumption of linearity is relaxed. Further, retrievals are
performed by considering the reduced, as well as, the full state vector. Overall, physical retrieval performs
much better than the regression-based approach. Moreover, in the physical retrieval, the best performance is
obtained in the second scenario with the use of the full state vector. Validation of these retrievals with the
iQuam SST resulted in a standard deviation (bias) of 0.65 (0.19) K while those from the regression-based
method are found to have standard deviation (bias) of 0.68 (–0.17) K.
关键词：sea-surface temperature ; INSAT-3D ; physical retrieval ; RTTOV
