Analysis of Nonstationary Wind Fluctuations Using the Hilbert-Huang Transform

作     者：XU Jing-Jing HU Fei 

作者机构：International Center for Climate and Environment Science (ICCES) Institute of Atmospheric Physics Chinese Academy of Science State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC) Institute of Atmospheric Physics Chinese Academy of Sciences 

出 版 物：《Atmospheric and Oceanic Science Letters》 (大气和海洋科学快报（英文版）)

年 卷 期：2014年第7卷第5期

页      面：428-433页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 08[工学] 0807[工学-动力工程及工程热物理] 0706[理学-大气科学] 

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 91215302 and 41101045) the "One-Three-Five" Strategic Planning of the Institute of Atmospheric Physics, Chinese Academy of Sciences (Grant No. Y267014601) 

主　　题：wind variability spectral analysis Hilbert-Huangtransform atmospheric boundary layer wind power 

摘      要：Climatological patterns in wind fluctuations on time scales of 1–10 h are analyzed at a meteorological mast at the Yangmeishan wind farm, Yunnan Province,China, using a 2-yr time series of 10-min wind speed observations. For analyzing the spectral properties of nonstationary wind fluctuations in mountain terrain, the Hilbert-Huang transform(HHT) is applied to investigate climatological patterns between wind variability and several variables including time of year, time of day, wind direction, and pressure tendency. Compared with that for offshore sites, the wind variability at Yangmeishan wind farm has a more distinct diurnal cycle, but the seasonal discrepancies and the differences according to directions are not distinct, and the synoptic influences on wind variability are weaker. There is enhanced variability in spring and winter compared with summer and autumn. For flow from the main direction sector, the maximum wind variability is observed in spring. And the severe wind fluctuations are more common when the pressure tendency is rising.