摘要
根据湖北省地貌特征将其划分为8个子区,利用湖北省内76个气象站和ERA5再分析资料近20年(2000-2019年)离地10 m的月平均风速,分析了二者之间的相关性,再结合省内110座测风塔70 m高度风速值,采用多元回归方法,构建由气象站10 m风速、经纬度和海拔高度等因子的70 m高度风速推算方程,并对推算结果进行检验。结果表明,再分析资料能够很好地反映全省风速大小趋势的空间分布,中部高,东西低;再分析资料风速整体比气象站风速偏大,平均偏大0.8 m/s左右;推算结果显示,鄂东北桐柏山和大洪山一带、中部南漳-荆门一带、大别山和幕阜山的高海拔地区为风资源较好的地区;检验结果显示,推算结果整体偏小,尤其是鄂西山区偏小最为明显,位于江汉平原的VⅢ区推算结果较好,尤其是天门一带。
According to the geomorphic characteristics of Hubei province,it is divided into eight sub regions. Based on the monthly average wind speed of 10 m above the ground in 76 meteorological stations and ERA5 reanalysis data in the past 20 years(2000-2019),the correlation between them is analyzed. Combined with the wind speed value of 70 m height of 110 wind measuring towers in the province,the wind speed at 70 m height derived from 10 m wind speed,longitude and latitude and altitude of meteorological stations is constructed by using multiple regression method. The results show that the reanalysis data can well reflect the spatial distribution of the wind speed trend in the whole province,with high in the middle and low in the east and west;The wind speed of the reanalysis data is larger than that of the meteorological station,with an average of about 0.8 m/s;The calculation results show that the Tongbai mountain and Dahongshan area in the northeast of Hubei province,the Nanzhang-Jingmen area in the central part,the Dabie mountain and Mufu the high altitude area of the mountain is the area with better wind resources;The test results show that the overall calculation results are small,especially in the western Hubei mountain area. The calculation results of VⅢ area in Jianghan plain are better,especially in Tianmen area.
作者
贺莉微
孙朋杰
曾琦
HE Li-wei;SUN Peng-jie;ZENG Qi(Hubei Meteorological Service Center,Wuhan 430074,China;Hubei Meteorological Energy Technology Development Center,Wuhan 430074,China)
出处
《湖北农业科学》
2021年第24期70-75,共6页
Hubei Agricultural Sciences
基金
湖北省气象局科技基金项目(2020Q10)。
关键词
再分析资料
风速推算
相关分析
多元回归
reanalysis data
wind speed calculation
correlation analysis
multiple regression
