Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2111-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-2111-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
18 May 2021
Data description paper |
| 18 May 2021
| 18 May 2021
A new global gridded sea surface temperature data product based on multisource data
Mengmeng Cao
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
School of Physics and Electronic-Engineering, Ningxia University,
Yinchuan, 750021, China
Yibo Yan
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
Jiancheng Shi
National Space Science Center, Chinese Academy of Sciences,
Beijing, 100190, China
Han Wang
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
Tongren Xu
State Key Laboratory of Remote Sensing Science, Jointly Sponsored
by the Aerospace Information Research Institute of Chinese Academy of
Sciences and Beijing Normal University, Beijing, 100101, China
School of Earth Sciences and Resources, China University of
Geosciences, Beijing, 100083, China
Zijin Yuan
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
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Cited
11 citations as recorded by crossref.
- Ocean water quality monitoring using remote sensing techniques: A review F. Mohseni et al. 10.1016/j.marenvres.2022.105701
- Python Programming for Degree Heating Weeks Estimation using Sea Surface Temperature Data from The Google Earth Engine Dataset as Coral Bleaching Analysis Tools H. Triwibowo et al. 10.1088/1755-1315/1350/1/012035
- Evaluation of SST Data Products from Multi-Source Satellite Infrared Sensors in the Bohai-Yellow-East China Sea C. Feng et al. 10.3390/rs15102493
- Estimation of sea surface salinity from MODIS-Aqua data in the northern South China Sea H. Ye et al. 10.1016/j.rsma.2024.103684
- A global process-oriented sea surface temperature anomaly dataset retrieved from remote sensing products C. Xue et al. 10.1080/20964471.2021.1988426
- Spatial disparity of fishing activities overlapping the abrupt shifts for marine net primary production Y. Zhao & Y. Li 10.1007/s11160-023-09778-3
- Multiscale hydrodynamics modeling reveals the temperature moderating role of the Northern Red Sea Islands A. Eladawy et al. 10.1016/j.marpolbul.2023.115241
- A Daily High-Resolution Sea Surface Temperature Reconstruction Using an I-DINCAE and DNN Model Based on FY-3C Thermal Infrared Data Z. Li et al. 10.3390/rs16101745
- Dataset of daily near-surface air temperature in China from 1979 to 2018 S. Fang et al. 10.5194/essd-14-1413-2022
- Leveraging Transfer Learning and U-Nets Method for Improved Gap Filling in Himawari Sea Surface Temperature Data Adjacent to Taiwan D. Putra & P. Hsu 10.3390/ijgi13050162
- A new global gridded sea surface temperature data product based on multisource data M. Cao et al. 10.5194/essd-13-2111-2021
10 citations as recorded by crossref.
- Ocean water quality monitoring using remote sensing techniques: A review F. Mohseni et al. 10.1016/j.marenvres.2022.105701
- Python Programming for Degree Heating Weeks Estimation using Sea Surface Temperature Data from The Google Earth Engine Dataset as Coral Bleaching Analysis Tools H. Triwibowo et al. 10.1088/1755-1315/1350/1/012035
- Evaluation of SST Data Products from Multi-Source Satellite Infrared Sensors in the Bohai-Yellow-East China Sea C. Feng et al. 10.3390/rs15102493
- Estimation of sea surface salinity from MODIS-Aqua data in the northern South China Sea H. Ye et al. 10.1016/j.rsma.2024.103684
- A global process-oriented sea surface temperature anomaly dataset retrieved from remote sensing products C. Xue et al. 10.1080/20964471.2021.1988426
- Spatial disparity of fishing activities overlapping the abrupt shifts for marine net primary production Y. Zhao & Y. Li 10.1007/s11160-023-09778-3
- Multiscale hydrodynamics modeling reveals the temperature moderating role of the Northern Red Sea Islands A. Eladawy et al. 10.1016/j.marpolbul.2023.115241
- A Daily High-Resolution Sea Surface Temperature Reconstruction Using an I-DINCAE and DNN Model Based on FY-3C Thermal Infrared Data Z. Li et al. 10.3390/rs16101745
- Dataset of daily near-surface air temperature in China from 1979 to 2018 S. Fang et al. 10.5194/essd-14-1413-2022
- Leveraging Transfer Learning and U-Nets Method for Improved Gap Filling in Himawari Sea Surface Temperature Data Adjacent to Taiwan D. Putra & P. Hsu 10.3390/ijgi13050162
1 citations as recorded by crossref.
Latest update: 20 Jan 2025
Short summary
We constructed a temperature depth and observation time correction model to eliminate the sampling depth and temporal differences among different data. Then, we proposed a reconstructed spatial model that filters and removes missing pixels and low-quality pixels contaminated by clouds from raw SST images and retrieves real sea surface temperatures under cloud coverage based on multisource data to generate a high-quality unified global SST product with long-term spatiotemporal continuity.
We constructed a temperature depth and observation time correction model to eliminate the...
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