| 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 |
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| 引用本文： | 王国松,王喜冬,王慧,侯敏,李琰,范文静,刘玉龙.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[J].海洋学报(英文版),2020,39(1):83-90. |
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| 作者姓名： | 王国松 王喜冬 王慧 侯敏 李琰 范文静 刘玉龙 |
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| 作者单位： | 河海大学海洋学院, 南京, 210098;国家海洋信息中心, 天津, 300171,河海大学海洋学院, 南京, 210098,国家海洋信息中心, 天津, 300171,天津滨海新区气象局, 天津, 300457,国家海洋信息中心, 天津, 300171,国家海洋信息中心, 天津, 300171,国家海洋信息中心, 天津, 300171 |
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| 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. |
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| 摘 要： | 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 longterm 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.
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| 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 |
| 收稿时间： | 2018/9/28 0:00:00 |
Evaluation on monthly sea surface wind speed of four reanalysis data sets over the China seas after 1988 |
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| Wang Guosong,Wang Xidong,Wang Hui,Hou Min,Li Yan,Fan Wenjing and Liu Yulong.Evaluation on monthly sea surface wind speed of four reanalysis data sets over the China seas after 1988[J].Acta Oceanologica Sinica,2020,39(1):83-90. |
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| Authors: | Wang Guosong Wang Xidong Wang Hui Hou Min Li Yan Fan Wenjing and Liu Yulong |
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| Institution: | 1.College of Oceanography Hohai University, Nanjing 210098, China2.National Marine Data and Information Service, Tianjin 300171, China3.Tianjin Binhai New Area Meteorology Administration, Tianjin 300457, 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. |
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| Keywords: | monthly sea surface wind speeds China Sea reanalysis data inhomogeneity evaluation trend analysis |
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