Towards understanding the processes that influence global mean temperature
2011 Fall. Includes bibliographical references. Global mean surface temperature variability is largely determined by the global mean surface energy budget, which is driven by many natural and anthropogenic forcings. In theory, if all natural sources of global mean temperature variability could be re...
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ftcolostateunidc:oai:mountainscholar.org:10217/70816 2023-06-11T04:16:30+02:00 Towards understanding the processes that influence global mean temperature Mullin, Kathryn A. Thompson, David Denning, Scott Klein, Julia 2007-01-03T08:22:04Z born digital masters theses application/pdf http://hdl.handle.net/10217/70816 English eng eng Colorado State University. Libraries 2000-2019 - CSU Theses and Dissertations Mullin_colostate_0053N_10839.pdf ETDF2011400314ATMS http://hdl.handle.net/10217/70816 Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. climate variability sea ice global mean temperature Text 2007 ftcolostateunidc 2023-05-04T17:37:26Z 2011 Fall. Includes bibliographical references. Global mean surface temperature variability is largely determined by the global mean surface energy budget, which is driven by many natural and anthropogenic forcings. In theory, if all natural sources of global mean temperature variability could be removed from the global mean temperature time series the anthropogenic signal would be clearer. Previous studies have exploited this reasoning to remove the signature of volcanoes, the El-Niño Southern Oscillation (ENSO), and dynamic variability from the global mean temperature time series. This thesis extends previous work by 1) examining the linkages between global mean temperature and natural variability as a function of timescale; and 2) examining the two-way coupling between area-averaged surface temperatures and sea ice concentration. The results reveal a series of unique spatial structures in surface temperatures that drive intraannual, interannual, and decadal variability in global mean temperature. The results confirm the apparent role of hemispheric mean temperatures in driving sea ice variability, and also point to a possible feedback between wintertime sea ice concentration and springtime surface temperatures over the Northern Hemisphere. Linkages between sea ice concentration and surface temperature in the Southern Hemisphere are much weaker, and it can be argued that the hemispheric difference in these linkages may aid in explaining the different trends in sea ice between the two hemispheres. Text Sea ice Digital Collections of Colorado (Colorado State University) |
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Open Polar |
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Digital Collections of Colorado (Colorado State University) |
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ftcolostateunidc |
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English |
topic |
climate variability sea ice global mean temperature |
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climate variability sea ice global mean temperature Mullin, Kathryn A. Towards understanding the processes that influence global mean temperature |
topic_facet |
climate variability sea ice global mean temperature |
description |
2011 Fall. Includes bibliographical references. Global mean surface temperature variability is largely determined by the global mean surface energy budget, which is driven by many natural and anthropogenic forcings. In theory, if all natural sources of global mean temperature variability could be removed from the global mean temperature time series the anthropogenic signal would be clearer. Previous studies have exploited this reasoning to remove the signature of volcanoes, the El-Niño Southern Oscillation (ENSO), and dynamic variability from the global mean temperature time series. This thesis extends previous work by 1) examining the linkages between global mean temperature and natural variability as a function of timescale; and 2) examining the two-way coupling between area-averaged surface temperatures and sea ice concentration. The results reveal a series of unique spatial structures in surface temperatures that drive intraannual, interannual, and decadal variability in global mean temperature. The results confirm the apparent role of hemispheric mean temperatures in driving sea ice variability, and also point to a possible feedback between wintertime sea ice concentration and springtime surface temperatures over the Northern Hemisphere. Linkages between sea ice concentration and surface temperature in the Southern Hemisphere are much weaker, and it can be argued that the hemispheric difference in these linkages may aid in explaining the different trends in sea ice between the two hemispheres. |
author2 |
Thompson, David Denning, Scott Klein, Julia |
format |
Text |
author |
Mullin, Kathryn A. |
author_facet |
Mullin, Kathryn A. |
author_sort |
Mullin, Kathryn A. |
title |
Towards understanding the processes that influence global mean temperature |
title_short |
Towards understanding the processes that influence global mean temperature |
title_full |
Towards understanding the processes that influence global mean temperature |
title_fullStr |
Towards understanding the processes that influence global mean temperature |
title_full_unstemmed |
Towards understanding the processes that influence global mean temperature |
title_sort |
towards understanding the processes that influence global mean temperature |
publisher |
Colorado State University. Libraries |
publishDate |
2007 |
url |
http://hdl.handle.net/10217/70816 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
2000-2019 - CSU Theses and Dissertations Mullin_colostate_0053N_10839.pdf ETDF2011400314ATMS http://hdl.handle.net/10217/70816 |
op_rights |
Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. |
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