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Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas.
Sun, Weifu; Sangmanee, Chalermrat; Jiang, Yuanchi; Ma, Yi; Li, Jiang; Zhao, Yujia.
Afiliação
  • Sun W; Lab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China.
  • Sangmanee C; Oceanography and Environment Division, Phuket Marine Biological Center, Phuket 830000, Thailand.
  • Jiang Y; College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China.
  • Ma Y; Lab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China.
  • Li J; College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China.
  • Zhao Y; College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China.
Sensors (Basel) ; 23(18)2023 Sep 06.
Article em En | MEDLINE | ID: mdl-37765749
ABSTRACT
China's marine satellite infrared radiometer SST remote sensing observations began relatively late. Thus, it is essential to evaluate and correct the SST observation data of the Ocean Color and Temperature Scanner (COCTS) onboard the China HY-1C satellite in the Southeast Asia seas. We conducted a quality assessment and correction work on the SST of the China COCTS/HY-1C in Southeast Asian seas based on multisource satellite SST data and temperature data measured by Argo buoys. The accuracy evaluation results of the COCTS SST indicated that the bias, Std, and RMSE of the daytime SST data for HY-1C were -0.73 °C, 1.38 °C, and 1.56 °C, respectively, while the bias, Std, and RMSE of the nighttime SST data were -0.95 °C, 1.57 °C, and 1.83 °C, respectively. The COCTS SST accuracy was significantly lower than that of other infrared radiometers. The effect of the COCTS SST zonal correction was most significant, with the Std and RMSE approaching 1 °C. After correction, the RMSE of the daytime SST and nighttime SST data decreased by 32.52% and 42.04%, respectively.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China