The Retrieve and Data Fusion of the Sea Surface Temperature with FengYun Geostationary Satellite Data
Journal of Water Resources and Ocean Science
Volume 5, Issue 4, August 2016, Pages: 53-63
Received: Jul. 12, 2016; Accepted: Jul. 22, 2016; Published: Aug. 6, 2016
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Wang Wei, Tianjin Institute of Meteorological Science, Tianjin, China
Wu Danzhu, Tianjin Institute of Meteorological Science, Tianjin, China
Qu Pin, Tianjin Institute of Meteorological Science, Tianjin, China
Li Yi, Tianjin Institute of Meteorological Science, Tianjin, China
Liu Lili, Tianjin Institute of Meteorological Science, Tianjin, China
Wu Bingui, Tianjin Institute of Meteorological Science, Tianjin, China
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The numerical weather prediction (NWP) model about marine meteorological disasters requires sea surface temperature (SST) data which represents the parameters of marine dynamic process. However, the SST data of high spatial-temporal resolution are scarce in Huang Bohai sea in China. In order to acquire the high resolution SST data, the authors try to retrieve the high resolution SST data in Huang Bohai sea with FY2G-based satellite data. Moreover, the data differences of the satellite retrieval data with both buoys observation SST and NCEP optimal interpolation SST are compared, respectively, in terms of the statistical analysis method. Meanwhile the statistical equations are determined about the satellite retrieval SST with observed SST and of optimal interpolation SST. The equations are referred as a standard of data quality control equations when the differences of the revised values of the statistical equations and satellite inversion are calculated. While the data fusion is done, authors retain the data that the differences of the satellite retrieval SST and the statistical equation are less than 3.0°C. Above method could make that the satellite SST space characteristic information is merged into weekly average optimal interpolation SST data, and it improves SST spatial-temporal resolution in Huang Bohai sea. The work lays a foundation for numerical models using the high resolution SST in Huang Bohai area.
FY Geostationary Satellite, SST, Inversion Data, Data Fusion
To cite this article
Wang Wei, Wu Danzhu, Qu Pin, Li Yi, Liu Lili, Wu Bingui, The Retrieve and Data Fusion of the Sea Surface Temperature with FengYun Geostationary Satellite Data, Journal of Water Resources and Ocean Science. Vol. 5, No. 4, 2016, pp. 53-63. doi: 10.11648/j.wros.20160504.12
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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