Mesoscale wind climate analysis: identification of anemological regions and wind regimes

Mesoscale wind climate analysis: identification of anemological regions and wind regimes
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DOI:
10.1002/joc.1561
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发表时间:
2008-04-30
期刊:
INTERNATIONAL JOURNAL OF CLIMATOLOGY
影响因子:
--
通讯作者:
Ratto, C. F.
Ratto, C. F.
中科院分区:
其他
文献类型:
--
作者:
Burlando, M.;Antonelli, M.;Ratto, C. F.

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根据物理量的气候学研究应旨在了解其平均状态以及其动力学特征的思想,聚类分析已被应用于研究科西嘉(法国)的风气候,以确定风速区(平均状态)和风态(天气变率),其沿海地区的特点。分析是基于一个3年的时间序列的风速测量从11个风速站位于沿着周边的岛屿。由于本研究是对随后评估科西嘉风力潜力的初步分析,因此我们只研究了风力强度。然而,在我们的分析结束时,我们也考虑了风向对结果的最终解释。通过比较15种不同的聚类技术,从三个距离措施和五个凝聚的方法相结合,确定了风速区域。根据地理因素,结果确定了三个不同的风速区:东部地区(ER),西北地区(NWR),西南地区(SWRI)。的风制度是通过一个两阶段的分类方案的基础上的分层聚类分析,然后分区聚类。最后的分类确定了八个制度:四个风制度对应的主要天气模式的西欧,提出了Plaut和Simonnet,以及另外四个集群对应微风制度。版权所有(c)2007皇家气象学会。
Following the idea that the climatological study of a physical variable should aim at the comprehension of its mean state as well as the characterization of its dynamics, cluster analysis has been applied to study the wind climate of Corsica (France) in order to identify the anemological regions (mean state) and the wind regimes (weather variability) which characterize its coastal areas. The analysis is based on a 3-year long time-series of measurements of the wind velocity from 11 anemometric stations located along the perimeter of the island. Since the present study was an analysis preliminary to the subsequent assessment of the wind potential of Corsica, we have worked only with wind intensities. Nevertheless, at the end of our analysis, we have also considered wind directions for the final interpretation of the results. The anemological regions are defined through the comparison of 15 different clustering techniques resulting from the combination of three distance measures and five agglomerative methods. As confirmed by geographical considerations, the results identify three distinct anemological regions: the eastern region (ER), the north-western region (NWR), the south-western region (SWRI. The wind regimes are identified by means of a two-stage classification scheme based on a hierarchical cluster analysis followed by a partitional clustering. The final classification identifies eight regimes: the four wind regimes corresponding to the main weather patterns of Western Europe, as proposed by Plaut and Simonnet, and another four clusters corresponding to breeze regimes. Copyright (c) 2007 Royal Meteorological Society.