Abstract
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.
Highlights
sea surface temperature (SST) plays a crucial role in the air-sea energy exchange, and is an important factor of affecting weather and climate system (Yu et al 2011; Fisher et al 2004; BOOTH et al 2011)
The retrieval SST with satellite data has the difference of 3°C ~ 4°C between buoy SST and the optimal interpolation SST according to the statistical analysis results of the retrieval SST with satellite data, NCEP optimal interpolation SST and buoy SST
The statistical equation can use as a quality control equation of merging the retrieval SST
Summary
SST plays a crucial role in the air-sea energy exchange, and is an important factor of affecting weather and climate system (Yu et al 2011; Fisher et al 2004; BOOTH et al 2011). Some research results show that the energy exchange and marine advection on the air-sea interface together control the formation, maintain and attenuation of sea surface temperature anomalies. Another results show that SST changes have influence on the typhoon path (EMANUEL et al 1986; RIEHL et al 1950; WANG et al 2012). The SST retrieved by satellite data can provide high resolution SST for numerical weather prediction models, the most of operational retrieval SST use global retrieval algorithms based on a global scale standard that its accuracy is often difficult to meet the application requirement of local sea area (Maul G, 1981; Wentz et al 2000). The aim is to acquire the technology of the daily or half daily average SST with high resolution under the condition of ultra shallow sea
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