Using European Centre for Medium-Range Weather Forecasts Reanalysis V5(ERA5)reanalysis data,this study investigated the reconstruction effects of various climate variabilities on surface wind speed in China from 1979 ...Using European Centre for Medium-Range Weather Forecasts Reanalysis V5(ERA5)reanalysis data,this study investigated the reconstruction effects of various climate variabilities on surface wind speed in China from 1979 to 2022.The results indicated that the reconstructed annual mean wind speed and the standard deviation of the annual mean wind speed,utilizing various climate variability indices,exhibited similar spatial modes to the reanalysis data,with spatial correlation coefficients of 0.99 and 0.94,respectively.In the reconstruction of six major wind power installed capacity provinces/autonomous regions in China,the effects were notably good for Hebei and Shanxi provinces,with the correlation coefficients for the interannual regional average wind speed time series being 0.65 and 0.64,respectively.The reconstruction effects of surface wind speed differed across seasons,with spring and summer reconstructions showing the highest correlation with reanalysis data.The correlation coefficients for all seasons across most regions in China ranged between 0.4 and 0.8.Among the reconstructed seasonal wind speeds for the six provinces/autonomous regions,Shanxi Province in spring exhibited the highest correlation with the reanalysis,with a coefficient of 0.61.The large-scale climate variability indices showed good reconstruction effects on the annual mean wind speed in China,and could explain the interannual variability trends of surface wind speed in most regions of China,particularly in the main wind energy provinces/autonomous regions.展开更多
在利用MODIS卫星的云产品资料对CFSR(Climate Forecast System Reanalysis)再分析资料云产品质量进行检验评估的基础上,采用CFSR资料对1979—2009年全球总云量及低、中、高云量的平均分布及其随纬度的变化进行了分析;用经验模态分解(EMD...在利用MODIS卫星的云产品资料对CFSR(Climate Forecast System Reanalysis)再分析资料云产品质量进行检验评估的基础上,采用CFSR资料对1979—2009年全球总云量及低、中、高云量的平均分布及其随纬度的变化进行了分析;用经验模态分解(EMD)方法分析了近30年全球云量的变化趋势,结果表明:(1)全球近30年平均总云量约为59%,全球总云量及低云量、中云量都有明显的纬向分布特征,全球总云量有3个峰值带和3个低值带。(2)低云量的海陆分布差异较明显,陆地上的低云量明显低于海洋上的,除了两个极圈附近,南半球各纬度的低云量都比北半球相应纬度上的都要多;高云量的高值、低值中心均集中在赤道附近到南、北半球30°之间的中低纬度,并且低值中心主要分布在大洋的东部。(3)总云量的总变化趋势为增长,具体表现为随时间呈现先略减少后大幅增加趋势,其突变点大致在1993年,在1993年之后,总云量显著增多。低云量和高云量均呈现增长趋势,中云量则相反,呈减少趋势。低云量增幅最明显,接近2%,中、高云量则增减幅度较小。展开更多
基金the National Natural Science Foundation of China(42176243)。
文摘Using European Centre for Medium-Range Weather Forecasts Reanalysis V5(ERA5)reanalysis data,this study investigated the reconstruction effects of various climate variabilities on surface wind speed in China from 1979 to 2022.The results indicated that the reconstructed annual mean wind speed and the standard deviation of the annual mean wind speed,utilizing various climate variability indices,exhibited similar spatial modes to the reanalysis data,with spatial correlation coefficients of 0.99 and 0.94,respectively.In the reconstruction of six major wind power installed capacity provinces/autonomous regions in China,the effects were notably good for Hebei and Shanxi provinces,with the correlation coefficients for the interannual regional average wind speed time series being 0.65 and 0.64,respectively.The reconstruction effects of surface wind speed differed across seasons,with spring and summer reconstructions showing the highest correlation with reanalysis data.The correlation coefficients for all seasons across most regions in China ranged between 0.4 and 0.8.Among the reconstructed seasonal wind speeds for the six provinces/autonomous regions,Shanxi Province in spring exhibited the highest correlation with the reanalysis,with a coefficient of 0.61.The large-scale climate variability indices showed good reconstruction effects on the annual mean wind speed in China,and could explain the interannual variability trends of surface wind speed in most regions of China,particularly in the main wind energy provinces/autonomous regions.
文摘在利用MODIS卫星的云产品资料对CFSR(Climate Forecast System Reanalysis)再分析资料云产品质量进行检验评估的基础上,采用CFSR资料对1979—2009年全球总云量及低、中、高云量的平均分布及其随纬度的变化进行了分析;用经验模态分解(EMD)方法分析了近30年全球云量的变化趋势,结果表明:(1)全球近30年平均总云量约为59%,全球总云量及低云量、中云量都有明显的纬向分布特征,全球总云量有3个峰值带和3个低值带。(2)低云量的海陆分布差异较明显,陆地上的低云量明显低于海洋上的,除了两个极圈附近,南半球各纬度的低云量都比北半球相应纬度上的都要多;高云量的高值、低值中心均集中在赤道附近到南、北半球30°之间的中低纬度,并且低值中心主要分布在大洋的东部。(3)总云量的总变化趋势为增长,具体表现为随时间呈现先略减少后大幅增加趋势,其突变点大致在1993年,在1993年之后,总云量显著增多。低云量和高云量均呈现增长趋势,中云量则相反,呈减少趋势。低云量增幅最明显,接近2%,中、高云量则增减幅度较小。
