Evaluation of Sea Surface Temperatures Derived From the HY-1D Satellite

Ye, Xiaomin; Liu, Jianqiang; Lin, Mingsen; Ding, Jun; Zou, Bin; Song, Qingjun; Teng, Yue

doi:10.1109/jstars.2021.3137230

Cited by 7 publications

(5 citation statements)

References 36 publications

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“…Considering HY-1D COCTS data were improved during the on-orbit testing activity before April 2021 with the improvement of the thermal channels' striping removal [2], a two year period from April 2021 to March 2023 was selected for the cross-calibration study. After selecting the matchups of the thermal infrared data from HY-1D/COCTS and NOAA-20/VIIRS in the South China Sea region for the period April 2021 to March 2023 using the data screening and matching methods described in Section 2.2, a total of 699,479 matchups were obtained.…”

Section: Calibration Results and Discussionmentioning

confidence: 99%

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Cross-Calibration of HY-1D/COCTS Thermal Emissive Bands in the South China Sea

Chen,

Guan,

Liu

et al. 2024

Remote Sensing

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Haiyang-1D (HY-1D) is the second operational satellite in China’s Haiyang-1 series of satellites, carrying the Chinese Ocean Color and Temperature Scanner (COCTS) to provide ocean color and temperature observations. The radiometric calibration is a prerequisite to guarantee the quality of the satellite observations and the derived products, and the radiometric calibration of the thermal emissive bands of HY-1D/COCTS can effectively improve the accuracy of sea surface temperature (SST) derived from the thermal infrared data. In this paper, a study on the regional cross-calibration of the COCTS thermal emissive bands is conducted for high-accuracy SST observations in the South China Sea. The Visible Infrared Imaging Radiometer Suite (VIIRS) on board the NOAA-20 satellite launched by the National Oceanic and Atmospheric Administration (NOAA) is selected as the calibration reference sensor, and a double-difference cross-calibration method is used for HY-1D/COCTS thermal infrared brightness temperature (BT) evaluation. The results show that the bias of the 11 µm and 12 µm thermal emissive bands of COCTS and VIIRS in the South China Sea are 0.101 K and 0.892 K, respectively, and the differences in BTs between the two sensors show temperature dependence. The cross-calibration coefficients are obtained and used to correct the BT of the COCTS thermal emissive bands. The bias of the BT of the 11 µm and 12 µm bands of COCTS are about 0.01 K after cross-calibration. To further validate the results, COCTS post-calibration data were examined using the NOAA-20 Cross-track Infrared Sounder (CrIS) data as a third-party source. The BT is calculated with the spectral response functions of the COCTS thermal emissive bands using the convolution calculation of the CrIS hyperspectral region observations. The comparison shows a small bias between the post-calibration COCTS thermal emissive band observations and CrIS, which is consistent with the comparison between VIIRS and CrIS. The accuracy of the post-calibration COCTS thermal emissive band BT data in the South China Sea has been significantly improved.

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Section: Calibration Results and Discussionmentioning

confidence: 99%

“…It has a swath width of 3000 km and the ability to achieve global data coverage in a single day. HY-1D/COCTS forms a network with the same series of satellites, Haiyang-1C (HY-1C), for both morning and afternoon transit observations [2].…”

Section: Introductionmentioning

confidence: 99%

Cross-Calibration of HY-1D/COCTS Thermal Emissive Bands in the South China Sea

Chen,

Guan,

Liu

et al. 2024

Remote Sensing

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“…The cloud detection processing method for the COCTS is not effective enough for some conditions, such as light cloud covering, so some gridded SSTs of the COCTS become lower. A more effective cloud detection method for the COCTS needs to be developed in the future [ 26 ].…”

Section: Analysis Of the Hy-1c Satellite Sst Data Qualitymentioning

confidence: 99%

Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas

Sun,

Sangmanee,

Jiang

et al. 2023

Sensors

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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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“…The robust standard deviations of the HY-1C/COCTS SST and buoy SST were 0.73°C and 0.72°C for daytime and nighttime (Ye et al, 2020). Compared with the buoy SST, the HY-1D/COCTS SST had daytime and nighttime root-mean-square deviations (RMSEs) of 0.65°C and 0.71°C, and robust standard deviations of 0.51°C and 0.47°C, respectively (Ye et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Sea surface skin temperature retrieval from HY-1D COCTS observations

Li,

Guan,

Chen

2023

Front. Mar. Sci.

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The Haiyang-1D (HY-1D) satellite is an operational satellite for observing the ocean and was launched on 11 June 2020. The Chinese Ocean Color and Temperature Scanner (COCTS) is on board the HY-1D satellite and the 11 μm and 12 μm channel data can be used for sea surface temperature (SST) retrieval. This paper uses the COCTS 11 μm and 12 μm channel brightness temperatures (BTs) for skin SST retrieval based on atmospheric radiative transfer modeling. Representative atmospheric profiles are selected from the global ERA5 atmospheric profiles, and the 11 μm and 12 μm channel BTs are simulated using MODerate resolution atmospheric TRANsmission (MODTRAN) with the selected profiles. The skin SST retrieval algorithm is determined for each latitude band based on the simulated BT and ERA5 sea surface skin temperature. Cloud detection is performed using the visible channel data, 11 μm and 12 μm channel BT, retrieved COCTS SST, and the reference SST. The retrieved COCTS skin SST is validated with the in situ SST and the Visible Infrared Imaging Radiometer Suites (VIIRS) SST. The global COCTS SST from May to July 2021 was retrieved and evaluated. The time window is 1 h, and the spatial window is 0.01°×0.01°. The bias of COCTS SST and in situ SST is -0.11°C, the standard deviation is 0.54°C, the median is -0.08°C, and the robust standard deviation is 0.47°C. The bias of COCTS SST and VIIRS SST is 0.03°C, the standard deviation is 0.53°C, the median is 0.06°C, and the robust standard deviation is 0.49°C. The results demonstrate that the algorithm performs well for the global coverage.

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Evaluation of Sea Surface Temperatures Derived From the HY-1D Satellite

Cited by 7 publications

References 36 publications

Cross-Calibration of HY-1D/COCTS Thermal Emissive Bands in the South China Sea

Cross-Calibration of HY-1D/COCTS Thermal Emissive Bands in the South China Sea

Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas

Sea surface skin temperature retrieval from HY-1D COCTS observations

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