基于志愿观测船舶和浮标数据的SST日产品质量评价研究
发布时间：2019-02-16 13:37
【摘要】：选用浮标、志愿观测船舶(VOS)数据作为验证数据对MODIS Aqua,MODIS Terra,AVHRR-OI,OSTIA和RTG五种SST日产品进行了时相差异、近海SST偏差和SST偏差区域整体差异分析的质量评价,以期为日产品的后续应用提供依据。结果表明:不同分析方案得到结论基本一致,在时相差异方面,各季节及年度分析显示各日产品优劣特性相近,其中AVHRR-OI最优(年数据分析回归系数为0.973 6,R2为0.976 0,RMSE为0.71℃),RTG、MODIS Aqua和MODIS Terra次之,OSTIA最差(年数据分析回归系数为0.945 4,R2为0.943 7,RMSE为1.08℃);在近海区域,AVHRR-OI比其他日产品能更真实地反映海表温度状况,OSTIA最差(二者Grade分别为30和13);在海洋表面区域整体特性方面,AVHRR-OI日产品质量在研究区海域存在更少的高正值和低负值,且均值和RMSE也更理想(最低仅分别为0.40和0.59℃);而RTG和OSTIA则差于AVHRR-OI。
[Abstract]:Using buoy, (VOS) data of voluntary observation ship as the verification data, the quality evaluation of MODIS Aqua,MODIS Terra,AVHRR-OI,OSTIA and RTG five kinds of SST daily products are carried out, and the overall difference analysis between offshore SST deviation and SST deviation area is made. In order to provide the basis for the follow-up application of Japanese products. The results show that the conclusions of different analysis schemes are basically the same. In terms of time phase difference, each season and year analysis show that the advantages and disadvantages of each day's products are similar, among which AVHRR-OI is the best (the regression coefficient of annual data analysis is 0.973, and the annual data analysis regression coefficient is 0.973). R2 was 0.976 鈩，
本文编号：2424503
[Abstract]:Using buoy, (VOS) data of voluntary observation ship as the verification data, the quality evaluation of MODIS Aqua,MODIS Terra,AVHRR-OI,OSTIA and RTG five kinds of SST daily products are carried out, and the overall difference analysis between offshore SST deviation and SST deviation area is made. In order to provide the basis for the follow-up application of Japanese products. The results show that the conclusions of different analysis schemes are basically the same. In terms of time phase difference, each season and year analysis show that the advantages and disadvantages of each day's products are similar, among which AVHRR-OI is the best (the regression coefficient of annual data analysis is 0.973, and the annual data analysis regression coefficient is 0.973). R2 was 0.976 鈩，
本文编号：2424503
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