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Application of Autospectral and Regression Analysis to the Study of Temporal-Spatial Variation of Winds in Complex Terrain

机译:高光谱和回归分析在复杂地形风时空变化研究中的应用

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How many meteorological stations, where they should be placed and how often the data should be taken to characterize wind flow in complex terrain continues to be a problem for pollution transport studies as well as wind energy prospecting. A two month (June and July 1978) field study was conducted using laser anemometers (Lawrence, et al., 1976) across a windy pass (Patterson Pass) about 60 km east of San Francisco, California. These measurements were supported by data from over 50 meteorological stations throughout the Bay Area and Central Valley. Power spectral analysis was applied to the two month data period (Blackman and Tukey, 1958) for 1152 thirty minute averages and a Tapered Entropy Method (Strand, 1975) for 54 hourly averages at the minimum and maximum of the diurnal sea-breeze cycle). The results of the spectral analysis indicates an approx. 6 and approx. 12 day cycle in summer-sea breeze intensity throughout the region, as well as, pointing out fundamental differences between spacially averaged winds (such as are required by numerical models) and point wind measurements in complex terrain. (ERA citation 04:056363)

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