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A climatology of tornado outbreak environments derived from unsupervised learning methods

Tornado outbreaks (TO) occur every year across the continental United States and are a result of various synoptic scale, mesoscale, and climatological patterns. This study looks to find what patterns exist among the various scales and how that relates to the climatology of the TOs. In order to find these patterns, principal component analysis (PCA) and a cluster analysis were conducted to differentiate the patterns of data. Four distinct clusters of TOs were found with varying synoptic and mesoscale patterns as well as distinct climatological patterns. An interesting result from this study includes the shifting of TO characteristics over time to a more synoptically forced pattern that has becoming stronger and shifted eastward from the Great Plains.

Identiferoai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-6085
Date30 April 2021
CreatorsBowles, Justin Alan
PublisherScholars Junction
Source SetsMississippi State University
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceTheses and Dissertations

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