Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas
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 q...
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MDPI AG
2023-09-01
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| Online Access: | https://www.mdpi.com/1424-8220/23/18/7692 |
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| author | Weifu Sun Chalermrat Sangmanee Yuanchi Jiang Yi Ma Jiang Li Yujia Zhao |
| author_facet | Weifu Sun Chalermrat Sangmanee Yuanchi Jiang Yi Ma Jiang Li Yujia Zhao |
| author_sort | Weifu Sun |
| collection | DOAJ |
| description | 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 <i>bias</i>, <i>Std</i>, and <i>RMSE</i> of the daytime SST data for HY-1C were −0.73 °C, 1.38 °C, and 1.56 °C, respectively, while the <i>bias</i>, <i>Std</i>, and <i>RMSE</i> 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 <i>Std</i> and <i>RMSE</i> approaching 1 °C. After correction, the <i>RMSE</i> of the daytime SST and nighttime SST data decreased by 32.52% and 42.04%, respectively. |
| first_indexed | 2024-03-10T22:03:43Z |
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| id | doaj.art-d6d2fbfe08ba428ea2aa85292c45b9e1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T22:03:43Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
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| spelling | doaj.art-d6d2fbfe08ba428ea2aa85292c45b9e12023-11-19T12:52:52ZengMDPI AGSensors1424-82202023-09-012318769210.3390/s23187692Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia SeasWeifu Sun0Chalermrat Sangmanee1Yuanchi Jiang2Yi Ma3Jiang Li4Yujia Zhao5Lab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaOceanography and Environment Division, Phuket Marine Biological Center, Phuket 830000, ThailandCollege of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, ChinaLab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaCollege of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, ChinaCollege of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, ChinaChina’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 <i>bias</i>, <i>Std</i>, and <i>RMSE</i> of the daytime SST data for HY-1C were −0.73 °C, 1.38 °C, and 1.56 °C, respectively, while the <i>bias</i>, <i>Std</i>, and <i>RMSE</i> 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 <i>Std</i> and <i>RMSE</i> approaching 1 °C. After correction, the <i>RMSE</i> of the daytime SST and nighttime SST data decreased by 32.52% and 42.04%, respectively.https://www.mdpi.com/1424-8220/23/18/7692SSTHY-1CSST data evaluationSST data correction |
| spellingShingle | Weifu Sun Chalermrat Sangmanee Yuanchi Jiang Yi Ma Jiang Li Yujia Zhao Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas Sensors SST HY-1C SST data evaluation SST data correction |
| title | Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas |
| title_full | Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas |
| title_fullStr | Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas |
| title_full_unstemmed | Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas |
| title_short | Quality Analysis and Correction of Sea Surface Temperature Data from China HY-1C Satellite in Southeast Asia Seas |
| title_sort | quality analysis and correction of sea surface temperature data from china hy 1c satellite in southeast asia seas |
| topic | SST HY-1C SST data evaluation SST data correction |
| url | https://www.mdpi.com/1424-8220/23/18/7692 |
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