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Analysis of Nonstationary Wind Fluctuations Using the Hilbert-Huang Transform

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分类：O431[机械工程—光学工程;理学—光学;理学—物理] TU435[建筑科学—岩土工程;建筑科学—土工工程]
作者机构：[1]International Center for Climate and Environment Science (ICCES), Institute of Atmospheric Physics, Chinese Academy of Science, Beijing 100029, China, [2]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Phys ics, Chinese Academy of Sciences Beijing 100029, China
相关基金：This research was supported by the National Natu- ral Science Foundation of China （Grant Nos. 91215302 and 41101045） and the ＂One-Three-Five＂ Strategic Planning of the Institute of Atmospheric Physics, Chinese Academy of Sciences （Grant No. Y267014601 ）.

关键词：非平稳, 波动, 希尔伯特, 黄变, 时间尺度, 最大风速, 气候模式, 观测资料, wind variability, spectral analysis, Hilbert-Huangtransform, atmospheric boundary layer, wind power

中文摘要：

在风变化的 Climatological 模式准时， 110 h 的规模在 Yangmeishan 风农场在一根气象学的桅杆被分析，云南省，中国，用 10-min 风速度观察的一个 2 年的时间系列。为分析光谱 nonstationary 的性质在山地面弯屈变化， Hilbert-Huang 变换(HHT ) 被使用调查在风可变性和年的几个变量包括时间之间的 climatological 模式，白天预定，弯屈方向，并且迫使趋势。与那相比为近海地点，在 Yangmeishan 风农场的风可变性有更多不同日报周期和差别不根据方向是不同的，并且对风可变性的摘要的影响更弱。与夏天和秋天相比在春天和冬季有提高的可变性。为从主要方向部门的流动，最大的风可变性在春天被观察。并且当压力趋势正在升起时，严重的风变化是更普通的。

英文摘要：

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 ob- servations. For analyzing the spectral properties of non- stationary wind fluctuations in mountain terrain, the Hil- bert-Huang transform （HHT） is applied to investigate climatological patterns between wind variability and sev- eral 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 vari- ability 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 vari- ability is observed in spring. And the severe wind fluctua- tions are more common when the pressure tendency is rising.