Ice Sheets & Ice Cores:Data Analysis & Stochastic Modelling
Since the discovery of the Ice Ages it has been evident that Earth’s climate is liable to undergo dramatic changes. The previous climatic period known as the Last Glacial saw large oscillations in the extent of ice sheets covering the Northern hemisphere. Understanding these oscillations known as Da...
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The Niels Bohr Institute, Faculty of Science, University of Copenhagen
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ftcopenhagenunip:oai:pure.atira.dk:publications/74d12cf8-5a21-4c86-b22d-3b284c89c9f6 2023-05-15T14:02:44+02:00 Ice Sheets & Ice Cores:Data Analysis & Stochastic Modelling Mikkelsen, Troels Bøgeholm 2017 https://curis.ku.dk/portal/da/publications/ice-sheets--ice-cores(74d12cf8-5a21-4c86-b22d-3b284c89c9f6).html https://soeg.kb.dk/permalink/45KBDK_KGL/fbp0ps/alma99122333826705763 eng eng The Niels Bohr Institute, Faculty of Science, University of Copenhagen info:eu-repo/semantics/closedAccess Mikkelsen , T B 2017 , Ice Sheets & Ice Cores : Data Analysis & Stochastic Modelling . The Niels Bohr Institute, Faculty of Science, University of Copenhagen . < https://soeg.kb.dk/permalink/45KBDK_KGL/fbp0ps/alma99122333826705763 > book 2017 ftcopenhagenunip 2021-09-23T18:02:08Z Since the discovery of the Ice Ages it has been evident that Earth’s climate is liable to undergo dramatic changes. The previous climatic period known as the Last Glacial saw large oscillations in the extent of ice sheets covering the Northern hemisphere. Understanding these oscillations known as Dansgaard-Oeschger (DO) events would add to our knowledge of the climatic system and – hopefully – enable better forecasts. Likewise, to forecast possible future sea level rise it is crucial to correctly model the large ice sheets on Greenland and Antarctica. This project is divided into two parts. The first part concerns time series analysis of ice core data obtained from the Greenland Ice Sheet. We analyze parts of the time series where DO-events occur using the so-called transfer operator and compare the results with time series from a simple model capable of switching by either undergoing a bifurcation or by jumping at random. We find that the DO event time series is most consistent with the model undergoing a random transition. In the second part, we use a simple model of an ice sheet subject to constant and fluctuating temperatures, respectively. We find that the steady state volume of the ice sheet is lower for fluctuating temperatures than for a constant temperature. This finding may have implications for future long-range ice sheet projections, as the steady state ice sheet volume could be underestimated in studies using a constant temperature. Book Antarc* Antarctica Greenland ice core Ice Sheet University of Copenhagen: Research Greenland |
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Open Polar |
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University of Copenhagen: Research |
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ftcopenhagenunip |
language |
English |
description |
Since the discovery of the Ice Ages it has been evident that Earth’s climate is liable to undergo dramatic changes. The previous climatic period known as the Last Glacial saw large oscillations in the extent of ice sheets covering the Northern hemisphere. Understanding these oscillations known as Dansgaard-Oeschger (DO) events would add to our knowledge of the climatic system and – hopefully – enable better forecasts. Likewise, to forecast possible future sea level rise it is crucial to correctly model the large ice sheets on Greenland and Antarctica. This project is divided into two parts. The first part concerns time series analysis of ice core data obtained from the Greenland Ice Sheet. We analyze parts of the time series where DO-events occur using the so-called transfer operator and compare the results with time series from a simple model capable of switching by either undergoing a bifurcation or by jumping at random. We find that the DO event time series is most consistent with the model undergoing a random transition. In the second part, we use a simple model of an ice sheet subject to constant and fluctuating temperatures, respectively. We find that the steady state volume of the ice sheet is lower for fluctuating temperatures than for a constant temperature. This finding may have implications for future long-range ice sheet projections, as the steady state ice sheet volume could be underestimated in studies using a constant temperature. |
format |
Book |
author |
Mikkelsen, Troels Bøgeholm |
spellingShingle |
Mikkelsen, Troels Bøgeholm Ice Sheets & Ice Cores:Data Analysis & Stochastic Modelling |
author_facet |
Mikkelsen, Troels Bøgeholm |
author_sort |
Mikkelsen, Troels Bøgeholm |
title |
Ice Sheets & Ice Cores:Data Analysis & Stochastic Modelling |
title_short |
Ice Sheets & Ice Cores:Data Analysis & Stochastic Modelling |
title_full |
Ice Sheets & Ice Cores:Data Analysis & Stochastic Modelling |
title_fullStr |
Ice Sheets & Ice Cores:Data Analysis & Stochastic Modelling |
title_full_unstemmed |
Ice Sheets & Ice Cores:Data Analysis & Stochastic Modelling |
title_sort |
ice sheets & ice cores:data analysis & stochastic modelling |
publisher |
The Niels Bohr Institute, Faculty of Science, University of Copenhagen |
publishDate |
2017 |
url |
https://curis.ku.dk/portal/da/publications/ice-sheets--ice-cores(74d12cf8-5a21-4c86-b22d-3b284c89c9f6).html https://soeg.kb.dk/permalink/45KBDK_KGL/fbp0ps/alma99122333826705763 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland ice core Ice Sheet |
genre_facet |
Antarc* Antarctica Greenland ice core Ice Sheet |
op_source |
Mikkelsen , T B 2017 , Ice Sheets & Ice Cores : Data Analysis & Stochastic Modelling . The Niels Bohr Institute, Faculty of Science, University of Copenhagen . < https://soeg.kb.dk/permalink/45KBDK_KGL/fbp0ps/alma99122333826705763 > |
op_rights |
info:eu-repo/semantics/closedAccess |
_version_ |
1766273153957363712 |