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Snow extent and depth over central North America: 1966-2018

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TitleInfo
Title
Snow extent and depth over central North America: 1966-2018
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NamePart (type = family)
Soldo
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Logan
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Logan Soldo
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author
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Robinson
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David A.
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David A. Robinson
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Advisory Committee
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chair
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Rhiney
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Kevon
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Kevon Rhiney
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Advisory Committee
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internal member
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Schneider
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Laura
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Laura Schneider
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Advisory Committee
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internal member
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Rutgers University
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degree grantor
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School of Graduate Studies
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Text
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theses
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2020
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2020-05
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2020
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English
Abstract (type = abstract)
Snow extent and depth climatologies are presented for central North America in a region situated east of the Rocky Mountains from the Texas Panhandle to Southern Alberta. Daily surface observations from United States Cooperative Observer Program (COOP) and the Meteorological Service of Canada’s stations are used over the study period of 1966-2018. Using a quality-controlled gridded database, the spatial characteristics of extremes, season length, and snow depth are examined. Past studies have primarily focused on snow cover extent, with few including depth analyses. Adding depth to the more traditional examinations of extent allows for a more thorough evaluation of the region’s snow climatology and permits a better understanding of snow cover and associated relationships with hydrological, societal and other climatological variables.

Annual average maximum across the study area range between 2 cm to 68 cm, with peak depths varying from December 10th in the south to February 26th in the north. Average season length, defined as the longest run of snow depth of 7.6 cm or greater and at least seven days in length, varies between 10 to 135 days. A snow depth trend analysis for the 52-year period shows decreases in the coldest part of the year with the largest decreases being in the north. The downward trend is most pronounced at greater depths. In most months, depths have a larger percentage decrease than extent. Many analyses of depth are interested in understanding snow water equivalent over mountainous area, but few studies have focused in areas such as central North America, despite being of importance here too. Evaluating depth provides a more complete understanding of the impact of snow cover on the environment than simply looking at extent. This includes a better estimate of surface albedo, insulation of the underlying soil, and the snowpack water content. Thus, knowledge of snow depth contributes to a better understanding of ephemeral snow’s role in North America’s Plains and Prairies climate, as well as earth’s climate, atmospheric circulation, ecological systems, weather forecasting and flood prediction.
Subject (authority = local)
Topic
Climatology
Subject (authority = local)
Topic
Geography
Subject (authority = local)
Topic
Cryosphere
Subject (authority = local)
Topic
Snow
Subject (authority = RUETD)
Topic
Geography
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_10762
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application/pdf
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text/xml
Extent
1 online resource (viii, 56 pages) : illustrations
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = lcsh/lcnaf)
Geographic
North America
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-svb3-ve49
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Soldo
GivenName
Logan
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-04-16 15:58:58
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Name
Logan Soldo
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Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2020-04-30T14:47:01
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2020-04-30T14:48:19
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