基于实测数据的FY-3A海表温度业务化算法研究

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-3AVIRR数据，建立了适于FY-3AVIRR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0．78oC，RMSE为0．93．...

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Published in红外与毫米波学报 Vol. 33; no. 2; pp. 200 - 205
Main Author 赵冬至 王祥 杨建洪
Format Journal Article
LanguageChinese
Published 国家海洋环境监测中心海洋遥感室,辽宁大连,116023 2014
Subjects
分裂窗算法
可见光红外扫描辐射计
海表温度
风云三号A星
风云三号A星
FY-3A satellite
分裂窗算法
VIRR
split window algorithm
可见光红外扫描辐射计
海表温度
sea surface temperature
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ISSN1001-9014
DOI10.3724/SP.J.1010.2014.00200

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Summary: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-3AVIRR数据，建立了适于FY-3AVIRR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0．78oC，RMSE为0．93．
Bibliography: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.
ZHAO Dong-Zhi, WANG Xiang, YANG Jian-Hong （Division of Ocean Remote Sensing, National Marine Environmental Monitoring Center,Dalian 116023, China）
31-1577/TN
FY-3A satellite, split window algorithm, VIRR, sea surface temperature
ISSN:1001-9014
DOI:10.3724/SP.J.1010.2014.00200