Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024
Haiyang 2B (HY-2B), the second Chinese ocean dynamic environment monitoring satellite, has been operational for nearly six years. The scanning microwave radiometer (SMR) onboard HY-2B provides global sea surface temperature (SST) observations. Comprehensive validation of these data is essential befo...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/2/300 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832587559849426944 |
|---|---|
| author | Ping Liu Yili Zhao Wu Zhou Shishuai Wang |
| author_facet | Ping Liu Yili Zhao Wu Zhou Shishuai Wang |
| author_sort | Ping Liu |
| collection | DOAJ |
| description | Haiyang 2B (HY-2B), the second Chinese ocean dynamic environment monitoring satellite, has been operational for nearly six years. The scanning microwave radiometer (SMR) onboard HY-2B provides global sea surface temperature (SST) observations. Comprehensive validation of these data is essential before they can be effectively applied. This study evaluates the operational SST product from the SMR, covering the period from 1 January 2019 to 31 August 2024, using direct comparison and extended triple collocation (ETC) methods. The direct comparison assesses bias and root mean square error (RMSE), while ETC analysis estimates the random error of the SST measurement systems and evaluates their ability to detect SST variations. Additionally, the spatial and temporal variations in error characteristics, as well as the crosstalk effects of sea surface wind speed, columnar water vapor, and columnar cloud liquid water, are analyzed. Compared with iQuam SST, the total RMSE of SMR SST for ascending and descending passes are 0.88 °C and 0.85 °C, with total biases of 0.1 °C and −0.08 °C, respectively. ETC analysis indicates that the random errors for ascending and descending passes are 0.87 °C and 0.80 °C, respectively. The SMR’s ability to detect SST variations decreases significantly at high latitudes and near 10°N latitude. Error analysis reveals that the uncertainty in SMR SSTs has increased over time, and the presence of crosstalk effects in SMR SST retrieval has been confirmed. |
| format | Article |
| id | doaj-art-3928c3b2e4a948fa8265c6984e47309b |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-3928c3b2e4a948fa8265c6984e47309b2025-01-24T13:48:03ZengMDPI AGRemote Sensing2072-42922025-01-0117230010.3390/rs17020300Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024Ping Liu0Yili Zhao1Wu Zhou2Shishuai Wang3School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, ChinaSchool of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, ChinaNational Satellite Ocean Application Service, Beijing 100081, ChinaFaculty of Information Science and Engineering, College of Marine Technology, Ocean University of China, Qingdao 266100, ChinaHaiyang 2B (HY-2B), the second Chinese ocean dynamic environment monitoring satellite, has been operational for nearly six years. The scanning microwave radiometer (SMR) onboard HY-2B provides global sea surface temperature (SST) observations. Comprehensive validation of these data is essential before they can be effectively applied. This study evaluates the operational SST product from the SMR, covering the period from 1 January 2019 to 31 August 2024, using direct comparison and extended triple collocation (ETC) methods. The direct comparison assesses bias and root mean square error (RMSE), while ETC analysis estimates the random error of the SST measurement systems and evaluates their ability to detect SST variations. Additionally, the spatial and temporal variations in error characteristics, as well as the crosstalk effects of sea surface wind speed, columnar water vapor, and columnar cloud liquid water, are analyzed. Compared with iQuam SST, the total RMSE of SMR SST for ascending and descending passes are 0.88 °C and 0.85 °C, with total biases of 0.1 °C and −0.08 °C, respectively. ETC analysis indicates that the random errors for ascending and descending passes are 0.87 °C and 0.80 °C, respectively. The SMR’s ability to detect SST variations decreases significantly at high latitudes and near 10°N latitude. Error analysis reveals that the uncertainty in SMR SSTs has increased over time, and the presence of crosstalk effects in SMR SST retrieval has been confirmed.https://www.mdpi.com/2072-4292/17/2/300sea surface temperatureHY-2Bscanning microwave radiometeriQuamevaluation |
| spellingShingle | Ping Liu Yili Zhao Wu Zhou Shishuai Wang Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 Remote Sensing sea surface temperature HY-2B scanning microwave radiometer iQuam evaluation |
| title | Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 |
| title_full | Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 |
| title_fullStr | Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 |
| title_full_unstemmed | Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 |
| title_short | Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024 |
| title_sort | evaluation of hy 2b smr sea surface temperature products from 2019 to 2024 |
| topic | sea surface temperature HY-2B scanning microwave radiometer iQuam evaluation |
| url | https://www.mdpi.com/2072-4292/17/2/300 |
| work_keys_str_mv | AT pingliu evaluationofhy2bsmrseasurfacetemperatureproductsfrom2019to2024 AT yilizhao evaluationofhy2bsmrseasurfacetemperatureproductsfrom2019to2024 AT wuzhou evaluationofhy2bsmrseasurfacetemperatureproductsfrom2019to2024 AT shishuaiwang evaluationofhy2bsmrseasurfacetemperatureproductsfrom2019to2024 |