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A Climatology of Tornado Outbreak Environments Derived from Unsupervised Learning.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Climatology of Tornado Outbreak Environments Derived from Unsupervised Learning./
Author:	Bowles, Justin.
Description:	1 online resource (72 pages)
Notes:	Source: Masters Abstracts International, Volume: 82-11.
Contained By:	Masters Abstracts International82-11.
Subject:	Meteorology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28415973click for full text (PQDT)
ISBN:	9798738629105

A Climatology of Tornado Outbreak Environments Derived from Unsupervised Learning.
Bowles, Justin.

A Climatology of Tornado Outbreak Environments Derived from Unsupervised Learning. - 1 online resource (72 pages)

Source: Masters Abstracts International, Volume: 82-11.

Thesis (M.S.)--Mississippi State University, 2021.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798738629105Subjects--Topical Terms:

542822
Meteorology.
Subjects--Index Terms:

ClimatologyIndex Terms--Genre/Form:

542853
Electronic books.

A Climatology of Tornado Outbreak Environments Derived from Unsupervised Learning.
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100 1 $a Bowles, Justin. $3 3694329
245 1 2 $a A Climatology of Tornado Outbreak Environments Derived from Unsupervised Learning.
264 0 $c 2021
300 $a 1 online resource (72 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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500 $a Source: Masters Abstracts International, Volume: 82-11.
500 $a Advisor: Mercer, Andrew E.
502 $a Thesis (M.S.)--Mississippi State University, 2021.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Meteorology. $3 542822
653 $a Climatology
653 $a Synoptic
653 $a Tornado outbreak
653 $a Unsupervised learning
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0557
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Mississippi State University. $b Geosciences. $3 1018556
773 0 $t Masters Abstracts International $g 82-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28415973 $z click for full text (PQDT)