Analysis of the applicability of CLDAS wind field data in Liaoning province in 2020
Using the 10 m wind field data from 286 meteorological stations in Liaoning province in 2020 and the 10 m wind field data from the Land Data Assimilation System(CLDAS)of the China Meteorological Administra-tion,the correlation coefficient(COR),mean bias(ME),root mean square error(RMSE)and mean absolute er-ror(MAE)between the hourly wind speed data from CLDAS interpolated to the stations and the observed wind speed data at the stations were calculated to analyze and evaluate the applicability of the CLDAS wind field data in Liaoning province.The results show that the CLDAS gridded data with a 1 km resolution is closer to the observed data than those with a 5 km resolution,and the biases of the nearest neighbor interpolation method are smaller than those of the bilinear interpolation method.For the 286 stations in Liaoning province,the hourly CLDAS wind field data has a correlation coefficient below 0.95 with the observed data for only 1.7％of the total stations.The biases between the CLDAS and the observed wind speeds are larger in the coastal low-lying areas and northern Liaoning than in other inland areas.The mean biases between the CLDAS and the observed wind speeds are negative.A-mong the seasons,the mean bias is smallest in autumn,followed by summer and winter,and largest in spring.For the diurnal variation,the biases are smallest at night in summer and autumn,followed by winter,and largest in spring.During the daytime,the bias is smallest in winter,followed by summer and autumn,and largest in spring.Case studies of 3 strong wind events in Liaoning province all indicate that the CLDAS wind field data has good ap-plicability.
万方数据
维普
