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The Development of a Gridded Weather...

Lee, Cameron C.

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The Development of a Gridded Weather Typing Classification Scheme.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Development of a Gridded Weather Typing Classification Scheme./
Author:	Lee, Cameron C.
Description:	265 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-08(E), Section: A.
Contained By:	Dissertation Abstracts International75-08A(E).
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3618946
ISBN:	9781303875038

The Development of a Gridded Weather Typing Classification Scheme.
Lee, Cameron C.

The Development of a Gridded Weather Typing Classification Scheme. - 265 p.

Source: Dissertation Abstracts International, Volume: 75-08(E), Section: A.

Thesis (Ph.D.)--Kent State University, 2014.

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

Since their development in the 1990s, gridded reanalysis data sets have proven quite useful for a broad range of synoptic climatological analyses, especially those utilizing a map pattern classification approach. However, their use in broad-scale, surface weather typing classifications and applications have not yet been explored. This research details the development of such a gridded weather typing classification (GWTC) scheme using North American Regional Reanalysis data for 1979-2010 for the continental United States.

ISBN: 9781303875038Subjects--Topical Terms:

524010
Geography.

The Development of a Gridded Weather Typing Classification Scheme.
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100 1 $a Lee, Cameron C. $3 3177159
245 1 4 $a The Development of a Gridded Weather Typing Classification Scheme.
300 $a 265 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-08(E), Section: A.
500 $a Adviser: Scott Sheridan.
502 $a Thesis (Ph.D.)--Kent State University, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a Since their development in the 1990s, gridded reanalysis data sets have proven quite useful for a broad range of synoptic climatological analyses, especially those utilizing a map pattern classification approach. However, their use in broad-scale, surface weather typing classifications and applications have not yet been explored. This research details the development of such a gridded weather typing classification (GWTC) scheme using North American Regional Reanalysis data for 1979-2010 for the continental United States.
520 $a Utilizing eight-times daily observations of temperature, dew point, pressure, cloud cover, u-wind and v-wind components, the GWTC categorizes the daily surface weather of 2,070 locations into one of 11 discrete weather types, nine core types and two transitional types, that remain consistent throughout the domain. Due to the use of an automated deseasonalized z-score initial typing procedure, the character of each type is both geographically and seasonally relative, allowing each core weather type to occur at every location, at any time of the year. Diagnostic statistics reveal a high degree of spatial cohesion among the weather types classified at neighboring locations, along with an effective partitioning of the climate variability of individual locations (via a Variability Skill Score metric) into these 11 weather types. Daily maps of the spatial distribution of GWTC weather types across the United States correspond well to traditional surface weather maps, and comparisons of the GWTC with the Spatial Synoptic Classification are also favorable.
520 $a While the potential future utility of the classification is expected to be primarily for the resultant calendars of daily weather types at specific locations, the automation of the methodology allows the classification to be easily repeatable, and therefore, easily transportable to other locations, atmospheric levels, and data sets (including output from gridded general circulation models). Further, the enhanced spatial resolution of the GWTC may also allow for new applications of surface weather typing classifications in mountainous and rural areas not well represented by airport weather stations.
590 $a School code: 0101.
650 4 $a Geography. $3 524010
650 4 $a Environmental science. $3 677245
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Meteorology. $3 542822
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Physical geography. $3 516662
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710 2 $a Kent State University. $b Geography. $3 3177160
773 0 $t Dissertation Abstracts International $g 75-08A(E).
790 $a 0101
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3618946