DATA FUSION OF SST FROM HY-2A SATELLITE RADIOMETER IN CHINA SEA AND ITS ADJACENT WATERS

摘要

This paper focuses on using data fusion method to solve the problem that the global sea is not seamlessly covered by the along-track sea surface temperature (SST) data of scanning microwavernradiometer on board Haiyang-2A (HY-2A), which is the first ocean dynamic environment satellite of China launched on 16th August 2011. The procedure includes following steps. Firstly, the HY-2ArnSST data within 200 km of the coastline were identified and removed, the outliers of the HY-2A SST data and the background SST data were also identified and removed. Secondly, the HY-2A SSTrndata were gridded, filtered and corrected. The background SST data were only filtered. Finally, the HY-2A SST data were merged into background SST data by the inverse distance weighted method.rnNext, the above procedure was tested in the ocean area on the southeast of China. The global 1-km sea surface temperature (G1SST) data were used as the reference data. The results of the procedurernwith and without the second step were made comparisons, and the results implied that the application of median filter and third-order polynomial curve fitting in the second step could help to improvernperformance of the merged SST data. The along-track SST data of HY-2A can be merged into OSTIA SST data successfully by the above procedure, and the gaps between tracks were filled up.