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A Study on Reconstruction of Surface Wind Speed in China Due to Various Climate Variabilities

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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.

wind speedwind energycorrelation methodclimate variabilityEuropean Centre for Medium-Range Weather Forecasts Reanalysis V5 (ERA5)

Li Yancong、Li Xichen、Sun Yankun、Xu Jinhua

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College of Resources and Environment, Northeast Agricultural University, Harbin 150030, China

International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

International Center for Climate and Environment Sciences,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China

Gaoan Meteorological Bureau of Jiangxi Province, Gaoan 330800, Jiangxi, China

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2024

东北农业大学学报(英文版)
东北农业大学

东北农业大学学报(英文版)

影响因子：0.075
ISSN：1006-8104
年,卷(期)：2024.31(2)