The Development of a Gridded Weather Typing Classification Scheme

The Development of a Gridded Weather Typing Classification Scheme

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Bibliographic Details
Main Author: Lee, Cameron C.
Language:English
Published: Kent State University / OhioLINK 2014
Subjects:
Climate Change
Atmosphere
Atmospheric Sciences
Geography
Environmental Science
Meteorology
Physical Geography
synoptic climatology
climate classification
climate
climatology
weather types
GWTC
reanalysis
air mass
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=kent1389193726
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-kent13891937262021-08-03T06:21:20Z The Development of a Gridded Weather Typing Classification Scheme Lee, Cameron C. Climate Change Atmosphere Atmospheric Sciences Geography Environmental Science Meteorology Physical Geography synoptic climatology climate classification climate climatology weather types GWTC reanalysis air mass 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. 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. 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. 2014-01-15 English text Kent State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=kent1389193726 http://rave.ohiolink.edu/etdc/view?acc_num=kent1389193726 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Climate Change
Atmosphere
Atmospheric Sciences
Geography
Environmental Science
Meteorology
Physical Geography
synoptic climatology
climate classification
climate
climatology
weather types
GWTC
reanalysis
air mass
spellingShingle Climate Change
Atmosphere
Atmospheric Sciences
Geography
Environmental Science
Meteorology
Physical Geography
synoptic climatology
climate classification
climate
climatology
weather types
GWTC
reanalysis
air mass
Lee, Cameron C.
The Development of a Gridded Weather Typing Classification Scheme
author Lee, Cameron C.
author_facet Lee, Cameron C.
author_sort Lee, Cameron C.
title The Development of a Gridded Weather Typing Classification Scheme
title_short The Development of a Gridded Weather Typing Classification Scheme
title_full The Development of a Gridded Weather Typing Classification Scheme
title_fullStr The Development of a Gridded Weather Typing Classification Scheme
title_full_unstemmed The Development of a Gridded Weather Typing Classification Scheme
title_sort development of a gridded weather typing classification scheme
publisher Kent State University / OhioLINK
publishDate 2014
url http://rave.ohiolink.edu/etdc/view?acc_num=kent1389193726
work_keys_str_mv AT leecameronc thedevelopmentofagriddedweathertypingclassificationscheme
AT leecameronc developmentofagriddedweathertypingclassificationscheme
_version_ 1719435195012087808

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