Topographic and Geographic Influences on Near-surface Temperature under Different Seasonal Weather Types in Southwestern Alberta ...

Near-surface temperature variability is influenced by geographic and terrain characteristics. My research examines how these influences vary by weather type. This knowledge is used to determine the best methods for modelling temperature in the mountains and prairies in southwestern Alberta, using da...

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Main Author: Wood, Wendy Helen
Format: Article in Journal/Newspaper
Language:English
Published: Graduate Studies 2017
Subjects:
Online Access:https://dx.doi.org/10.11575/prism/28465
https://prism.ucalgary.ca/handle/11023/3686
id ftdatacite:10.11575/prism/28465
record_format openpolar
spelling ftdatacite:10.11575/prism/28465 2023-11-05T03:39:40+01:00 Topographic and Geographic Influences on Near-surface Temperature under Different Seasonal Weather Types in Southwestern Alberta ... Wood, Wendy Helen 2017 https://dx.doi.org/10.11575/prism/28465 https://prism.ucalgary.ca/handle/11023/3686 en eng Graduate Studies University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Geography Atmospheric Sciences FOS Earth and related environmental sciences weather Alberta temperature article doctoral thesis CreativeWork Other 2017 ftdatacite https://doi.org/10.11575/prism/28465 2023-10-09T10:53:25Z Near-surface temperature variability is influenced by geographic and terrain characteristics. My research examines how these influences vary by weather type. This knowledge is used to determine the best methods for modelling temperature in the mountains and prairies in southwestern Alberta, using data collected as part of the Foothills Climate Array (FCA) study. A weather classification system was developed for the area using multivariate statistical analysis, and six weather patterns were identified. Missing temperature data in the FCA are gap-filled using regression equations generated using the most closely correlated station for each site, where correlations are calculated by seasonal weather type. Seasonal weather type correlations improve estimates by ~7% over monthly correlations. The biggest improvements (10 to 20%) occur for chinook and cool-wet days. Cold Arctic air days and hot anticyclonic days in summer show the lowest improvement, indicating strong within-type variability for these weather ... Article in Journal/Newspaper Arctic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Geography
Atmospheric Sciences
FOS Earth and related environmental sciences
weather
Alberta
temperature
spellingShingle Geography
Atmospheric Sciences
FOS Earth and related environmental sciences
weather
Alberta
temperature
Wood, Wendy Helen
Topographic and Geographic Influences on Near-surface Temperature under Different Seasonal Weather Types in Southwestern Alberta ...
topic_facet Geography
Atmospheric Sciences
FOS Earth and related environmental sciences
weather
Alberta
temperature
description Near-surface temperature variability is influenced by geographic and terrain characteristics. My research examines how these influences vary by weather type. This knowledge is used to determine the best methods for modelling temperature in the mountains and prairies in southwestern Alberta, using data collected as part of the Foothills Climate Array (FCA) study. A weather classification system was developed for the area using multivariate statistical analysis, and six weather patterns were identified. Missing temperature data in the FCA are gap-filled using regression equations generated using the most closely correlated station for each site, where correlations are calculated by seasonal weather type. Seasonal weather type correlations improve estimates by ~7% over monthly correlations. The biggest improvements (10 to 20%) occur for chinook and cool-wet days. Cold Arctic air days and hot anticyclonic days in summer show the lowest improvement, indicating strong within-type variability for these weather ...
format Article in Journal/Newspaper
author Wood, Wendy Helen
author_facet Wood, Wendy Helen
author_sort Wood, Wendy Helen
title Topographic and Geographic Influences on Near-surface Temperature under Different Seasonal Weather Types in Southwestern Alberta ...
title_short Topographic and Geographic Influences on Near-surface Temperature under Different Seasonal Weather Types in Southwestern Alberta ...
title_full Topographic and Geographic Influences on Near-surface Temperature under Different Seasonal Weather Types in Southwestern Alberta ...
title_fullStr Topographic and Geographic Influences on Near-surface Temperature under Different Seasonal Weather Types in Southwestern Alberta ...
title_full_unstemmed Topographic and Geographic Influences on Near-surface Temperature under Different Seasonal Weather Types in Southwestern Alberta ...
title_sort topographic and geographic influences on near-surface temperature under different seasonal weather types in southwestern alberta ...
publisher Graduate Studies
publishDate 2017
url https://dx.doi.org/10.11575/prism/28465
https://prism.ucalgary.ca/handle/11023/3686
genre Arctic
genre_facet Arctic
op_rights University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
op_doi https://doi.org/10.11575/prism/28465
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