Abstract
As one of the key payloads onboard the HY-1C satellite, the Chinese ocean color and temperature scanner (COCTS) was designed for global sea surface temperature (SST) and ocean color detection. In this study, a nonlinear SST algorithm (NLSST) is applied to derive SSTs from the brightness temperatures (BTs) of the two COCTS thermal infrared bands at 10.8 and 12.0 μm. The SST retrieval results from the multichannel SST algorithm (MCSST) are used as the first guess for the input of the NLSST algorithm. The coefficients of both the MCSST and NLSST algorithms are regressed from the matchup datasets of the COCTS BT observations and the measurements from the in situ quality monitor system (iQuam), which were collected from September 10 to December 31, 2018. The retrieval SSTs from January 1, 2019 to March 31, 2020 are evaluated by the in situ measurements from iQuam with root mean square errors of 0.84 °C for daytime and 0.97 °C for nighttime and robust standard deviations (RSDs) of 0.73 °C for daytime and 0.72 °C for nighttime. Daily gridded retrieval SSTs from September 10, 2018 to March 31, 2020 are compared with SSTs from moderate-resolution imaging spectroradiometer (MODIS) onboard Terra satellite. The cross comparison RSDs are 0.56 ± 0.05 °C for daytime and 0.67 ± 0.05 °C for nighttime.
Highlights
S EA surface temperature (SST) is an important measurement for ocean, weather, and climate and can be applied in numerical ocean and atmospheric models, fishery science, and for tactical support of commercial fishing activities, physical oceanographic research, and climate monitoring [1]–[7]
The Chinese ocean color and temperature scanner (COCTS) onboard the HY-1C satellite is designed for global sea surface temperature (SST) and ocean color detection
Both daytime and nighttime SSTs are derived from the brightness temperatures (BTs) of the two thermal infrared (TIR) bands at 10.8 and 12.0 μm of COCTS by the nonlinear SST algorithm (NLSST) algorithm
Summary
S EA surface temperature (SST) is an important measurement for ocean, weather, and climate and can be applied in numerical ocean and atmospheric models, fishery science, and for tactical support of commercial fishing activities, physical oceanographic research, and climate monitoring [1]–[7]. SST can be obtained by space-borne microwave radiometers, infrared (IR) radiometers, buoys, and ships. Buoys and ships measure the water “bulk” temperature at particular points, whereas satellite radiometers continuously measure SST over global water surfaces with a spatial scale of one kilometer to tens of kilometers [8]. Satellite measurements of SST began in the 1970s using IR radiometers onboard the geostationary and polar orbiting. Manuscript received June 30, 2020; revised September 17, 2020; accepted October 13, 2020. Date of publication October 23, 2020; date of current version January 6, 2021.
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