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A BRIEF CLUSTERING ANALYSIS OF THE MEXICO CITY LOCAL WIND STATES OCCURRED DURING THE MILAGRO CAMPAIGN

机译:墨西哥城当地风势的简要集群分析在Milagro竞选期间发生

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A clustering analysis of the Mexico City local wind events that occurred during the MILAGRO field campaign was carried out for identifying their main characteristics and patterns. This study was performed with the hourly wind data provided by the official atmospheric monitoring network for March 2006. The local winds of the period were described with a meso-P scale lattice wind model endowed with a wind state concept defined by the wind velocity horizontal components and the wind's divergence and vorticity. The wind states produced by the lattice wind model were analyzed through their occurrence frequencies and hierarchical cluster analysis. This procedure revealed wind patterns very similar to those already described by other authors. However, new and interesting features were also revealed such as a strongly stable cluster composed by wind states befallen from sunrise to midafternoon, and that the 4-group clustering revealed itself as the more stable wind states organization, while those with 6 and 8 clusters resulted the less stable ones. A Fourier transform analysis of the wind states time series evidenced wind patterns driven by the diurnal cycle of incoming solar radiation, and other patterns that may be associated with the urban heat island phenomenon.
机译:对Milagro Field Campaign期间发生的墨西哥城市当地风赛的聚类分析,用于识别其主要特征和模式。该研究进行了2006年3月由官方大气监测网络提供的每小时风数据进行。随着由风速水平分量限定的风状态概念的Meso-P比例晶格风模型描述了该期间的本地风和风的分歧和漩涡。通过其出现频率和分层集群分析分析了由格风模型产生的风状态。该程序揭示了与其他作者已经描述的风模式非常相似。然而,新的和有趣的特征也被揭示,例如被风状态从日出到中午的风状态组成的强烈稳定的集群,并且4组聚类揭示了自己更稳定的风状态组织,而那些有6和8个集群的群体稳定的稳定性。风态时间序列的傅里叶变换分析证明了由传入太阳辐射的昼夜循环驱动的风图案,以及可能与城市热岛现象相关的其他模式。

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