Retrieval and Evaluation of 20Year Sea Surface Temperature Sequence Data Sets
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Abstract:
Sea Surface Temperature (SST) is a vital physical parameter in studying seaatmosphere exchange on the surface. To build the data sets of longtime sea surface temperature sequences, the differences between satellites, attenuation of the sensors, subjective factors of researchers and so on should be considered in establishing the retrieval model. According to the features of NOAA/AVHRR data from 1989 to 2008， a unified SST retrieval model is devised, and the 20year sequence data sets are established with the spatial resolution reached 1 km. The ship and buoy data, as well as OISST data, are used to evaluate the data sets，with the precision being around 1 ℃ (RMSE).The response of SST anomalies over the West Pacific warm pool to 1997/1998 El Nino is analyzed by using the retrieval data.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.