Retrieval And Validation Of Sea Surface Temperature From HY-1B/COCTS

Sea surface temperature (SST) is an important parameter of Ocean-Atmospheresystem and it’s an indicator of climate changing. In this paper, the SST was retrievedfrom Chinese ocean color&temperature scanner (COCTS) on board Hai-yang-1B(HY-1B) satellite based on Non-linear SST (NLSST) algorithm and improved clouddetection. The SST was validated with buoy data.Firstly, the HY-1B/COCTS Level-2B (L2B) SST products were compared withbuoy SST and NOAA Advanced Very High Resolution Radiometer (AVHRR) SSTproducts. The study area was in10°N-50°N latitude and105°E-145°E longitude. Thecomparisons between HY-1B/COCTS L2B SST data and buoy data from North-EastAsian Regional Global Ocean Observing System (Near-GOOS), showed the bias andstandard deviation were1.35°C and2.23°C respectively. The results indicatedrelatively large error in HY-1B/COCTS L2B SST data.To improve the accuracy of the SST, the HY-1B/COCTS L1B BrightTemperature (BT) data were used to retrieve SST data based on new NLSSTalgorithm and improved cloud detection. The retrieved SST data were comparedwith Near-GOOS buoy data. The bias and standard deviation were0.04°C and1.36°C.And the SST data were closer to the AVHRR SST data. The error sources wereanalyzed. The results showed the accuracy of the new SST data was improved..