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Wang Guosong,Wang Xidong,Wang Hui,Hou Min,Li Yan,Fan Wenjing,Liu Yulong. 2020. Evaluation on monthly sea surface wind speed of four reanalysis data sets over the China seas after 1988. Acta Oceanologica Sinica, 39(1):83-90
Evaluation on monthly sea surface wind speed of four reanalysis data sets over the China seas after 1988
基于四种再分析资料的1988-2015年中国近海月均风速特征评估
Received:September 28, 2018  
DOI:10.1007/s13131-019-1525-0
Key words:monthly sea surface wind speeds  China Sea  reanalysis data  inhomogeneity  evaluation  trend analysis
中文关键词:  月均海面风速  中国海域  再分析  均一化  评估  趋势分析
基金项目:The National Key R&D Program of China under contract No. 2016YFC1401905; the National Natural Science Foundation of China under contract No. 41776004; the Fundamental Research Funds for the Central Universities under contract No. 2016B12514.
Author NameAffiliationE-mail
Wang Guosong College of Oceanography Hohai University, Nanjing 210098, China
National Marine Data and Information Service, Tianjin 300171, China 
 
Wang Xidong College of Oceanography Hohai University, Nanjing 210098, China  
Wang Hui National Marine Data and Information Service, Tianjin 300171, China wh_cherry@126.com 
Hou Min Tianjin Binhai New Area Meteorology Administration, Tianjin 300457, China  
Li Yan National Marine Data and Information Service, Tianjin 300171, China  
Fan Wenjing National Marine Data and Information Service, Tianjin 300171, China  
Liu Yulong National Marine Data and Information Service, Tianjin 300171, China  
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Abstract:
      This study investigates the long-term changes of monthly sea surface wind speeds over the China seas from 1988 to 2015. The 10-meter wind speeds products from four major global reanalysis datasets with high resolution are used:Cross-Calibrated Multi-Platform data set (CCMP), NCEP climate forecast system reanalysis data set (CFSR), ERA-interim reanalysis data set (ERA-int) and Japanese 55-year reanalysis data set (JRA55). The monthly sea surface wind speeds of four major reanalysis data sets have been investigated through comparisons with the long-term and homogeneous observation wind speeds data recorded at ten stations. The results reveal that (1) the wind speeds bias of CCMP, CFSR, ERA-int and JRA55 are 0.91 m/s, 1.22 m/s, 0.62 m/s and 0.22 m/s, respectively. The wind speeds RMSE of CCMP, CFSR, ERA-int and JRA55 are 1.38 m/s, 1.59 m/s, 1.01 m/s and 0.96 m/s, respectively; (2) JRA55 and ERA-int provides a realistic representation of monthly wind speeds, while CCMP and CFSR tend to overestimate observed wind speeds. And all the four data sets tend to underestimate observed wind speeds in Bohai Sea and Yellow Sea; (3) Comparing the annual wind speeds trends between observation and the four data sets at ten stations for 1988-1997, 1988-2007 and 1988-2015, the result show that ERA-int is superior to represent homogeneity monthly wind speeds over the China seaes.
中文摘要:
      本文基于四种高分辨率月均海面风速产品(CCMP、CFSR、ERA-interim和JRA55),探究1988年至2015年期间中国近海风速的变化特征评估。通过将四种分析/再分析数据插值得到的10 m高度风速与中国近海海洋站和气象站长期均一化处理后的风速观测资料进行比较,得出如下结论:1.与观测值相比,CCMP,CFSR,ERA-int和JRA55的月均风速偏差分别为0.91 m/s,1.22 m/s,0.62 m/s和0.22 m/s,月均风速RMSE分别为1.38 m/s,1.59 m/s,1.01 m/s和0.96 m/s;2. JRA55和ERA-int的月均风速数据更接近观测,而CCMP和CFSR的风速误差较大。在四种海面风场数据中,渤海和黄海的风速误差都较低;3. 1988-1997,1988-2007和1988-2015三个时间段的年均风速趋势对比发现,在四种数据中,ERA-int再分析最能代表中国近海均一化的月均风速特征。
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