Correction and Evaluation of Sea Surface Temperature from HY-1C in Southeast Asia and its Adjacent Seas
Yuanchi Jiang, Weifu Suti, Lei Chen, Jie Zhang
Abstract
Yuanchi Jiang, Weifu Suti, Lei Chen, Jie Zhang
Abstract
The Chinese HY-1C satellite was launched on September 7, 2018, equipped with the Chinese ocean color and temperature scanner (COCTS). The COCTS was designed for sea surface temperature (SST) and ocean color detection. In this paper, the accuracy of SST derived from COCTS onboard HY-1C in Southeast Asia and its adjacent seas is evaluated using Argo observations. And SST product from VIIRS onboard NPP is considered as a comparison. The bias, standard deviation (STD), and root mean square error (RMSE) of the SST difference between HY-1C and Argo data are 1.76°C, 1.60°C, and 2.38°C for daytime. The precision of HY-1C SST is significantly lower than that of VIIRS. HY-1C COCTS SST is corrected using VIIRS SST. The bias, STD, and RMSE of the SST difference between the corrected HY-1C and Argo data are 0.17°C, 1.21°C, and 1.22°C, which are better than the results before correction.
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The Chinese HY-1C satellite was launched on September 7, 2018, equipped with the Chinese ocean color and temperature scanner (COCTS). The COCTS was designed for sea surface temperature (SST) and ocean color detection. In this paper, the accuracy of SST derived from COCTS onboard HY-1C in Southeast Asia and its adjacent seas is evaluated using Argo observations. And SST product from VIIRS onboard NPP is considered as a comparison. The bias, standard deviation (STD), and root mean square error (RMSE) of the SST difference between HY-1C and Argo data are 1.76°C, 1.60°C, and 2.38°C for daytime. The precision of HY-1C SST is significantly lower than that of VIIRS. HY-1C COCTS SST is corrected using VIIRS SST. The bias, STD, and RMSE of the SST difference between the corrected HY-1C and Argo data are 0.17°C, 1.21°C, and 1.22°C, which are better than the results before correction.
Key concepts: Argo, Sea surface temperature, Climatology, Environmental science, Satellite, Mean squared error, Daytime, Root mean square