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基于实测数据的FY-3A海表温度业务化算法研究 被引量:2

FY-3A operational SST retrieval algorithm based on in-situ measurements
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摘要 建立适于FY-3A卫星的海表温度业务化反演算法并验证其精度.采用覆盖我国渤海及北黄海的长时间序列现场观测数据及相应FY-3A VIRR数据,建立了适于FY-3A VIRR海表温度反演的分裂窗算法.独立样本数据验证表明,算法平均误差为0.78℃,RMSE为0.93. The SST operational retrieval algorithm has been derived and validated for FY-3A. Using long time series of in- situ measurements data and coincide/collocated FY-3A VIRR sensor data collected in the Bohai Sea and northern Yellow Sea, we proposed a split-window algorithm suitable for FY-3A VIRR SST retrieval. Validation against independent data shows the mean deviation between satellite and matchup in-situ meastlrements was 0.78 ℃ with a RMSE of 0.93.
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2014年第2期200-205,共6页 Journal of Infrared and Millimeter Waves
基金 海洋行业公益性专项(200905012 201005030)~~
关键词 风云三号A星 分裂窗算法 可见光红外扫描辐射计 海表温度 FY-3A satellite, split window algorithm, VIRR, sea surface temperature
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