Self-Organizing Maps for the Investigation of Tornadic Near-Storm Environments
Self-Organizing Maps for the Investigation of Tornadic Near-Storm Environments
复制标题
用于调查龙卷风近风暴环境的自组织地图
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Bryan T. Smith
中科院分区：
文献类型：
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作者：
Alexandra K. Anderson;Yvette P. Richardson;A. Dean;Richard L. Thompson;Bryan T. Smith
摘要：本文利用自组织图（SOMs）研究了13年美国大陆14 814次龙卷风事件和44 961次龙卷风预警的有利近风暴环境参数模式。在每个龙卷风事件或警报周围的480公里× 480公里区域内建立9个统计上不同的重要龙卷风参数（STP）空间分布集群，可以单独检查每个集群。对于龙卷风事件，不同的模式更多地与一天中的特定时间、地理位置和一年中的特定时间有关。例如，大平原春季干旱线的原型很容易从数据中显现出来。虽然高STP值往往对应较高的探测概率（POD）和较低的虚警率（FARs），但大多数龙卷风事件发生在均匀较低STP的模式下，具有较高的FAR和较低的POD。总的来说，二维的情节…
AbstractIn this work, self-organizing maps (SOMs) are used to investigate patterns of favorable near-storm environmental parameters in a 13-yr climatology of 14 814 tornado events and 44 961 tornado warnings across the continental United States. Establishing nine statistically distinct clusters of spatial distributions of the significant tornado parameter (STP) in the 480 km × 480 km region surrounding each tornado event or warning allows for the examination of each cluster in isolation. For tornado events, distinct patterns are associated more with particular times of day, geographical locations, and times of year. For example, the archetypal springtime dryline setup in the Great Plains emerges readily from the data. While high values of STP tend to correspond to relatively high probabilities of detection (PODs) and relatively low false alarm ratios (FARs), the majority of tornado events occur within a pattern of uniformly lower STP, with relatively high FAR and low POD. Overall, the two-dimensional plot...