Abstract: Accurate analysis of spatiotemporal variation of near surface wind speed is critical for climate change, evaporation estimation and fog forecast, etc. Using the data of daily near surface wind speed (10 m in height) products provided by ITPCAS reanalyzed dataset from 1979 to 2015 and the daily wind speed data from 110 meteorological stations over China, the applicability of this dataset was analyzed. The wind speed data during the period of 2011-2012 were modified. The spatiotemporal variation of modified wind speed data was analyzed. The results showed that:   ① The ITPCAS reanalyzed dataset could basically meet the application requirements, but partial data needed to be modified. The accuracy of the modified wind speed data was greatly improved, which performed satisfactorily, particularly in cold and arid regions of northwest China. There was a good application prospect of the modified wind speed data;  ② Wind speed decreased visibly in 62.12% regions of China during 1979-2015, and the decrease rate of the annual mean wind speed was -0.073 m·s^-1 every 10 years over China, in which the highest decrease rate (-0.202 m·s^-1) occurred in the drainage basins in the southeastern;   ③ Wind speed in other drainage basins was in a decrease trend except that in the Zhujiang River Basin. The curve of monthly average wind speed over China was unimodal, and the maximum and minimum values appeared in April and December respectively;   ④ Decrease of wind speed over China was the most significant from March to June. The change trend of monthly wind speed in the future would maintain in the drainage basins.

Key words: near surface wind speed')">

near surface wind speed, ITPCAS reanalyzed dataset, spatiotemporal variation, applicability analysis; China