An Evaluation of Trend and Anomalies of Arctic Sea Ice Concentration, 1979-2006

As a part of the Cyrosphere ecosystem, Arctic sea ice is one of the focal points when studying Arctic climate change. Arctic sea ice image has been documented by remotely sensed data since the 1970s. By examining these data, some climate patterns can be revealed. In this research, Arctic region is d...

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Bibliographic Details
Main Author: Xia, Peiyao
Format: Master Thesis
Language:English
Published: University of Waterloo 2013
Subjects:
Online Access:http://hdl.handle.net/10012/7574
id ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/7574
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spelling ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/7574 2023-05-15T14:29:19+02:00 An Evaluation of Trend and Anomalies of Arctic Sea Ice Concentration, 1979-2006 Xia, Peiyao 2013-05-10 http://hdl.handle.net/10012/7574 en eng University of Waterloo http://hdl.handle.net/10012/7574 Geography Master Thesis 2013 ftunivwaterloo 2022-06-18T22:59:43Z As a part of the Cyrosphere ecosystem, Arctic sea ice is one of the focal points when studying Arctic climate change. Arctic sea ice image has been documented by remotely sensed data since the 1970s. By examining these data, some climate patterns can be revealed. In this research, Arctic region is divided into 9 sections to analyze the regional differences of the ice coverage and variability. Data used are bootstrapped 1979 to 2006 SSM/I and SMMR images from NSIDC to perform a time series analysis to examine the sea ice trends and spatial/temporal anomalies detection by conducting a descending sort of sea ice coverage by years in the sub-regional scale. Then, the temporal mixture analysis developed by Piwowar & LeDrew is applied to the data to reveal the variability within each subregion. Fractional images produced by TMA highlight the temporal signature concentration in the entire Arctic region. And the color-mix image derived from TMA highlights and overlaps temporal signatures that have over 80% concentrations from highest to lowest. The color mix image can reveal the spatial distribution of similar temporal characteristics and the evolution of time series in the same area during the 30-year period. Through this analysis, the spatial and temporal variability of Arctic sea ice can be perceived that in the subpolar regions, Arctic sea ice has a higher seasonal pattern which varies a lot each other. The Arctic sea ice extent endures an overall decline trend, which the decline speed increases every ten years. But this trend is not statistically significant in every subregion. The spatial/temporal anomaly analysis reveals several patterns of Arctic sea ice variability. The seasonal variability of Arctic sea ice in the eastern and western side of the Arctic Basin resemble each other in the long term, which may coincide with the North Atlantic Oscillation. In addition, within a subregion, different areas may have significantly different temporal characteristics, such as the Greenland Sea and Seas of Okhotsk. ... Master Thesis Arctic Basin Arctic Climate change Greenland Greenland Sea North Atlantic North Atlantic oscillation Sea ice University of Waterloo, Canada: Institutional Repository Arctic Greenland Okhotsk
institution Open Polar
collection University of Waterloo, Canada: Institutional Repository
op_collection_id ftunivwaterloo
language English
topic Geography
spellingShingle Geography
Xia, Peiyao
An Evaluation of Trend and Anomalies of Arctic Sea Ice Concentration, 1979-2006
topic_facet Geography
description As a part of the Cyrosphere ecosystem, Arctic sea ice is one of the focal points when studying Arctic climate change. Arctic sea ice image has been documented by remotely sensed data since the 1970s. By examining these data, some climate patterns can be revealed. In this research, Arctic region is divided into 9 sections to analyze the regional differences of the ice coverage and variability. Data used are bootstrapped 1979 to 2006 SSM/I and SMMR images from NSIDC to perform a time series analysis to examine the sea ice trends and spatial/temporal anomalies detection by conducting a descending sort of sea ice coverage by years in the sub-regional scale. Then, the temporal mixture analysis developed by Piwowar & LeDrew is applied to the data to reveal the variability within each subregion. Fractional images produced by TMA highlight the temporal signature concentration in the entire Arctic region. And the color-mix image derived from TMA highlights and overlaps temporal signatures that have over 80% concentrations from highest to lowest. The color mix image can reveal the spatial distribution of similar temporal characteristics and the evolution of time series in the same area during the 30-year period. Through this analysis, the spatial and temporal variability of Arctic sea ice can be perceived that in the subpolar regions, Arctic sea ice has a higher seasonal pattern which varies a lot each other. The Arctic sea ice extent endures an overall decline trend, which the decline speed increases every ten years. But this trend is not statistically significant in every subregion. The spatial/temporal anomaly analysis reveals several patterns of Arctic sea ice variability. The seasonal variability of Arctic sea ice in the eastern and western side of the Arctic Basin resemble each other in the long term, which may coincide with the North Atlantic Oscillation. In addition, within a subregion, different areas may have significantly different temporal characteristics, such as the Greenland Sea and Seas of Okhotsk. ...
format Master Thesis
author Xia, Peiyao
author_facet Xia, Peiyao
author_sort Xia, Peiyao
title An Evaluation of Trend and Anomalies of Arctic Sea Ice Concentration, 1979-2006
title_short An Evaluation of Trend and Anomalies of Arctic Sea Ice Concentration, 1979-2006
title_full An Evaluation of Trend and Anomalies of Arctic Sea Ice Concentration, 1979-2006
title_fullStr An Evaluation of Trend and Anomalies of Arctic Sea Ice Concentration, 1979-2006
title_full_unstemmed An Evaluation of Trend and Anomalies of Arctic Sea Ice Concentration, 1979-2006
title_sort evaluation of trend and anomalies of arctic sea ice concentration, 1979-2006
publisher University of Waterloo
publishDate 2013
url http://hdl.handle.net/10012/7574
geographic Arctic
Greenland
Okhotsk
geographic_facet Arctic
Greenland
Okhotsk
genre Arctic Basin
Arctic
Climate change
Greenland
Greenland Sea
North Atlantic
North Atlantic oscillation
Sea ice
genre_facet Arctic Basin
Arctic
Climate change
Greenland
Greenland Sea
North Atlantic
North Atlantic oscillation
Sea ice
op_relation http://hdl.handle.net/10012/7574
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