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Northern Great Plains Blizzards in p...

Trellinger, Alexander Patrick.

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Northern Great Plains Blizzards in past and Future Climates.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Northern Great Plains Blizzards in past and Future Climates./
Author:	Trellinger, Alexander Patrick.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	144 p.
Notes:	Source: Masters Abstracts International, Volume: 80-07.
Contained By:	Masters Abstracts International80-07.
Subject:	Climate Change. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10980396
ISBN:	9780438784406

Northern Great Plains Blizzards in past and Future Climates.
Trellinger, Alexander Patrick.

Northern Great Plains Blizzards in past and Future Climates. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 144 p.

Source: Masters Abstracts International, Volume: 80-07.

Thesis (M.S.)--The University of North Dakota, 2018.

This item must not be sold to any third party vendors.

Areas that reside in the high-latitudes such as the northern United States can experience hazardous conditions during the winter months due to snowstorms. When strong winds exist with falling or freshly fallen snow, blizzard conditions are able create significant personal, societal, and economic impacts for the Northern Great Plains. While the climatology for these extreme snowstorms is known, the frequency and intensity of how these events may change in a warming climate is not certain. In order to determine how extreme snowstorms may change in the future climate, climate models can be used but the horizontal and vertical grid spacing makes identifying blizzard events difficult. Moreover, climate models do not include blowing snow, which means that blizzards that don't have any falling snow are not considered. Therefore, another method must be used in order to identify these extreme snowstorm events. The presented work will use a competitive neural network known as the Self-Organizing Map (SOM) to identify meteorological patterns associated with blizzard events over the Northern Great Plains from 1979-2015. Once these large-scale patterns are identified from observations, they will be identified in the Community Earth System Model (CESM) 4.0 20th Century forcing climate simulations run in support for the Coupled Model Intercomparison Project Phase 5 (CMIP-5). In specific, the methodology will rely on the 'Mother of All Runs' (MOAR) ensemble member, which allows for specific meteorological patterns to be identified. Blizzard events will be identified during historical time periods to determine biases, and then under future emissions scenarios.

ISBN: 9780438784406Subjects--Topical Terms:

894284
Climate Change.

Northern Great Plains Blizzards in past and Future Climates.
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520 $a Areas that reside in the high-latitudes such as the northern United States can experience hazardous conditions during the winter months due to snowstorms. When strong winds exist with falling or freshly fallen snow, blizzard conditions are able create significant personal, societal, and economic impacts for the Northern Great Plains. While the climatology for these extreme snowstorms is known, the frequency and intensity of how these events may change in a warming climate is not certain. In order to determine how extreme snowstorms may change in the future climate, climate models can be used but the horizontal and vertical grid spacing makes identifying blizzard events difficult. Moreover, climate models do not include blowing snow, which means that blizzards that don't have any falling snow are not considered. Therefore, another method must be used in order to identify these extreme snowstorm events. The presented work will use a competitive neural network known as the Self-Organizing Map (SOM) to identify meteorological patterns associated with blizzard events over the Northern Great Plains from 1979-2015. Once these large-scale patterns are identified from observations, they will be identified in the Community Earth System Model (CESM) 4.0 20th Century forcing climate simulations run in support for the Coupled Model Intercomparison Project Phase 5 (CMIP-5). In specific, the methodology will rely on the 'Mother of All Runs' (MOAR) ensemble member, which allows for specific meteorological patterns to be identified. Blizzard events will be identified during historical time periods to determine biases, and then under future emissions scenarios.
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