摘要
利用全国40个地面台站的观测资料对ERA5及ERA5-Land两种不同空间分辨率的再分析资料开展了地面风速误差评估研究,结果表明:ERA5和ERA5-Land资料多年平均风速偏差的平均值分别为0.08 m s^(−1)、-0.06 m s^(−1),偏差的最大值分别为0.46 m s^(−1)、-0.19 m s^(−1),相对偏差的平均值为4.4%、-2.0%,相对偏差的最大值分别为33.0%、-10.1%;月平均风速线性拟合方程的斜率分别为0.93、0.97,截距分别为0.29 m s^(−1)、0.02 m s^(−1),相关系数分别为0.98、0.99;月平均风速均方根误差的平均值分别为0.17 m s^(−1)、0.14 m s^(−1),均方根误差的最大值分别为0.49 m s^(−1)、0.22 m s^(−1),相对均方根误差的平均值为7.4%、5.7%,相对均方根误差的最大值分别为35.2%、13.3%。ERA5-Land高分辨率资料地面风速误差相对较低,有利于提高风能资源评估的准确性。
Observation data from 40 ground stations in China are used to evaluate the ground wind speed error of ERA5 and ERA5-Land reanalysis data with different resolutions.The results show that the mean bias errors(BEs)of the multiyear mean wind speed of ERA5 and ERA5-Land reanalysis data are 0.08 and−0.06 m s^(−1),respectively;the maximum BEs are 0.46 and−0.19 m s^(−1),respectively;the relative BEs(RBEs)are 4.4%and−2.0%,respectively;and the maximum RBEs are 33.0%and−10.1%respectively.Moreover,the slopes of the linear fitting equation of monthly mean wind speed are 0.93 and 0.97,respectively;the intercepts are 0.29 and 0.02 m s^(−1),respectively;the correlation coefficients are 0.98 and 0.99,respectively;the mean root mean square errors(RMSEs)of the monthly mean wind speed are 0.17 and 0.14 m s^(−1),respectively;the maximum RMSEs are 0.49 and 0.22 m s^(−1),respectively;the relative RMSEs(RRMSEs)are 7.4%and 5.7%,respectively;and the maximum RRMSEs are 35.2%and 13.3%,respectively.The above errors in the high-resolution ground wind speed data of ERA5-Land is relatively low,which is conducive to improving the accuracy of wind energy resource assessment.
作者
杨劲
张双益
王海龙
牛凤国
李东辉
袁宗涛
YANG Jin;ZHANG Shuangyi;WANG Hailong;NIU Fengguo;LI Donghui;YUAN Zongtao(Huaneng Hechi Clean Energy Co.,Ltd.,Hechi,Guangxi Province 547110;International Center for Climate and Environment Sciences,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029;Huaneng Renewables Co.,Ltd.,Beijing 100036;Beijing Zhongdian Hengtai Power Engineering Consulting Co.,Ltd.,Beijing 100071)
出处
《气候与环境研究》
CSCD
北大核心
2024年第1期36-44,共9页
Climatic and Environmental Research
基金
中国华能集团公司总部科技项目HNKJ18-H33。
