Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice
In this thesis, the spatial distribution and temporal evolution of snow depth over sub-Arctic landfast first-year sea ice in Hudson Bay, having smooth and rough microscale surface texture forms, was characterized and modeled for the late winter-to-early spring transition period prior to sea ice melt...
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2014
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Online Access: | http://hdl.handle.net/11023/1308 https://doi.org/10.11575/PRISM/27843 |
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ftunivcalgary:oai:prism.ucalgary.ca:11023/1308 2023-08-27T04:07:37+02:00 Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice Peters, Melissa Marie Yackel, John 2014 application/pdf http://hdl.handle.net/11023/1308 https://doi.org/10.11575/PRISM/27843 eng eng Graduate Studies University of Calgary Calgary Peters, M. M. (2014). Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/27843 http://dx.doi.org/10.11575/PRISM/27843 http://hdl.handle.net/11023/1308 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. Atmospheric Sciences Physical Geography Physical Oceanography Snow sea Ice Spatial temporal Statistics semivariogram kriging Arctic Hudson Bay landfast coast master thesis 2014 ftunivcalgary https://doi.org/10.11575/PRISM/27843 2023-08-06T06:24:02Z In this thesis, the spatial distribution and temporal evolution of snow depth over sub-Arctic landfast first-year sea ice in Hudson Bay, having smooth and rough microscale surface texture forms, was characterized and modeled for the late winter-to-early spring transition period prior to sea ice melt. Quantitative and qualitative in situ meteorological, snow depth, and sea ice surface roughness data were acquired and analyzed with descriptive and nonparametric statistics, bivariate linear regression, h-scatterplots, experimental omnidirectional semivariograms, and kriging. Snow cover was characterized as complexly layered. Thin/thick snow was observed over smooth/rough microscale sea ice surfaces, but were not directly correlated. Snow depth was highly variable over spatial and temporal scales, as were spatial autocorrelation decay distances. Snow depth predictions through semivariogram and kriging models were accurate for areas exhibiting gradual snow thickness fluctuations and that were densely sampled. Suggestions for future snow depth modeling were presented. Master Thesis Arctic Hudson Bay Sea ice PRISM - University of Calgary Digital Repository Arctic Hudson Bay Hudson |
institution |
Open Polar |
collection |
PRISM - University of Calgary Digital Repository |
op_collection_id |
ftunivcalgary |
language |
English |
topic |
Atmospheric Sciences Physical Geography Physical Oceanography Snow sea Ice Spatial temporal Statistics semivariogram kriging Arctic Hudson Bay landfast coast |
spellingShingle |
Atmospheric Sciences Physical Geography Physical Oceanography Snow sea Ice Spatial temporal Statistics semivariogram kriging Arctic Hudson Bay landfast coast Peters, Melissa Marie Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice |
topic_facet |
Atmospheric Sciences Physical Geography Physical Oceanography Snow sea Ice Spatial temporal Statistics semivariogram kriging Arctic Hudson Bay landfast coast |
description |
In this thesis, the spatial distribution and temporal evolution of snow depth over sub-Arctic landfast first-year sea ice in Hudson Bay, having smooth and rough microscale surface texture forms, was characterized and modeled for the late winter-to-early spring transition period prior to sea ice melt. Quantitative and qualitative in situ meteorological, snow depth, and sea ice surface roughness data were acquired and analyzed with descriptive and nonparametric statistics, bivariate linear regression, h-scatterplots, experimental omnidirectional semivariograms, and kriging. Snow cover was characterized as complexly layered. Thin/thick snow was observed over smooth/rough microscale sea ice surfaces, but were not directly correlated. Snow depth was highly variable over spatial and temporal scales, as were spatial autocorrelation decay distances. Snow depth predictions through semivariogram and kriging models were accurate for areas exhibiting gradual snow thickness fluctuations and that were densely sampled. Suggestions for future snow depth modeling were presented. |
author2 |
Yackel, John |
format |
Master Thesis |
author |
Peters, Melissa Marie |
author_facet |
Peters, Melissa Marie |
author_sort |
Peters, Melissa Marie |
title |
Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice |
title_short |
Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice |
title_full |
Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice |
title_fullStr |
Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice |
title_full_unstemmed |
Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice |
title_sort |
spatial and temporal evolution of snow cover on landfast first-year sea ice |
publisher |
Graduate Studies |
publishDate |
2014 |
url |
http://hdl.handle.net/11023/1308 https://doi.org/10.11575/PRISM/27843 |
geographic |
Arctic Hudson Bay Hudson |
geographic_facet |
Arctic Hudson Bay Hudson |
genre |
Arctic Hudson Bay Sea ice |
genre_facet |
Arctic Hudson Bay Sea ice |
op_relation |
Peters, M. M. (2014). Spatial and Temporal Evolution of Snow Cover on Landfast First-Year Sea Ice (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/27843 http://dx.doi.org/10.11575/PRISM/27843 http://hdl.handle.net/11023/1308 |
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/27843 |
_version_ |
1775348366942666752 |