Evaluation of sea surface temperature from FY-3C data

被引:7
|
作者
Liao, Zhihong [1 ,2 ]
Dong, Qing [1 ]
Xue, Cunjin [1 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resoures & Environm, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
PRIMITIVE EQUATION MODEL; NORTH-ATLANTIC OCEAN; IN-SITU; HIGH-RESOLUTION; SATELLITE DATA; AMSR-E; ASSIMILATION; SST; ALGORITHMS; CLIMATE;
D O I
10.1080/01431161.2017.1331058
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The daily sea surface temperatures (SSTs) derived from the visible and infrared scanning radiometer (VIRR) and microwave radiation imager (MWRI) aboard the Fengyun-3C (FY-3C) satellite are evaluated against the measurements of in-situ SST and Reynolds optimum interpolation daily 0.25 degrees SST (OISST) products. Statistical results for 2015 reveal a mean bias +/- standard deviation of error (se) for the daytime VIRR SST, night-time VIRR SST, daytime MWRI SST (MWRID), and night-time MWRI SST (MWRIN) of 0.5877 +/- 1.3279 degrees C, -0.4801 +/- 1.2588 degrees C, 0.6044 +/- 3.9064 degrees C, and 0.7653 +/- 3.7307 degrees C, respectively. According to the SST bias performance of each product for different periods and latitudes, it is clear that the SST biases of the VIRR products are the largest at low latitudes and are relatively lower at mid-high latitudes and that negative SST biases in the VIRR increase with varying time. Large abnormal SST biases from MWRI products occur in Time III (the 211th to 319th day of 2015), and the average values of the SST biases are 3.6010 degrees C and 3.7822 degrees C for the MWRID and MWRIN, respectively. We expect that our validation results for VIRR and MWRI products can help algorithm developers further enhance the accuracy of SST retrievals while also helping sensor designers improve the performance of sensors for the next generation of FY satellites.
引用
收藏
页码:4954 / 4973
页数:20
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