Modelling the future of the arctic sea ice cover

Record lows in sea ice cover have recently sparked new interest in the small ice cap instability. The change in albedo when sea ice becomes open water introduces a nonlinearity called the ice-albedo feedback. Forcing a joint energy- balance and sea ice model can lead to unstable ice caps in certain...

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Bibliographic Details
Main Author: Myklebust, Erik Bryhn
Format: Master Thesis
Language:English
Published: UiT The Arctic University of Norway 2017
Subjects:
Online Access:https://hdl.handle.net/10037/11619
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author Myklebust, Erik Bryhn
author_facet Myklebust, Erik Bryhn
author_sort Myklebust, Erik Bryhn
collection University of Tromsø: Munin Open Research Archive
description Record lows in sea ice cover have recently sparked new interest in the small ice cap instability. The change in albedo when sea ice becomes open water introduces a nonlinearity called the ice-albedo feedback. Forcing a joint energy- balance and sea ice model can lead to unstable ice caps in certain parameter regimes. When the ice caps are unstable, a small perturbation will initiate a tipping point in the sea ice cover. For tipping points in general, a number of studies have pointed out that increasing variance and autocorrelation in time series can be used to predict abrupt transitions, but that the rise in one alone, can cause false alarms. In this study, we will examine these methods, as well as propose new methods that are specific to the problem at hand, and that are more robust when it comes to predicting the abrupt change in sea ice cover. We further investigate the hysteresis that occurs after an abrupt transition and show that the thermal inertia of the deep ocean may delay the recovery of the sea ice cover by several decades in scenarios where pre-industrial CO2 concentration is restored on century time scale.
format Master Thesis
genre albedo
Arctic
Ice cap
Sea ice
genre_facet albedo
Arctic
Ice cap
Sea ice
geographic Arctic
geographic_facet Arctic
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institution Open Polar
language English
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op_relation https://hdl.handle.net/10037/11619
op_rights Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
openAccess
Copyright 2017 The Author(s)
https://creativecommons.org/licenses/by-nc-sa/3.0
publishDate 2017
publisher UiT The Arctic University of Norway
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/11619 2025-04-13T14:06:19+00:00 Modelling the future of the arctic sea ice cover Myklebust, Erik Bryhn 2017-06-01 https://hdl.handle.net/10037/11619 eng eng UiT The Arctic University of Norway UiT Norges arktiske universitet https://hdl.handle.net/10037/11619 Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) openAccess Copyright 2017 The Author(s) https://creativecommons.org/licenses/by-nc-sa/3.0 VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413 VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413 EOM-3901 Master thesis Mastergradsoppgave 2017 ftunivtroemsoe 2025-03-14T05:17:55Z Record lows in sea ice cover have recently sparked new interest in the small ice cap instability. The change in albedo when sea ice becomes open water introduces a nonlinearity called the ice-albedo feedback. Forcing a joint energy- balance and sea ice model can lead to unstable ice caps in certain parameter regimes. When the ice caps are unstable, a small perturbation will initiate a tipping point in the sea ice cover. For tipping points in general, a number of studies have pointed out that increasing variance and autocorrelation in time series can be used to predict abrupt transitions, but that the rise in one alone, can cause false alarms. In this study, we will examine these methods, as well as propose new methods that are specific to the problem at hand, and that are more robust when it comes to predicting the abrupt change in sea ice cover. We further investigate the hysteresis that occurs after an abrupt transition and show that the thermal inertia of the deep ocean may delay the recovery of the sea ice cover by several decades in scenarios where pre-industrial CO2 concentration is restored on century time scale. Master Thesis albedo Arctic Ice cap Sea ice University of Tromsø: Munin Open Research Archive Arctic
spellingShingle VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413
VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413
EOM-3901
Myklebust, Erik Bryhn
Modelling the future of the arctic sea ice cover
title Modelling the future of the arctic sea ice cover
title_full Modelling the future of the arctic sea ice cover
title_fullStr Modelling the future of the arctic sea ice cover
title_full_unstemmed Modelling the future of the arctic sea ice cover
title_short Modelling the future of the arctic sea ice cover
title_sort modelling the future of the arctic sea ice cover
topic VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413
VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413
EOM-3901
topic_facet VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413
VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413
EOM-3901
url https://hdl.handle.net/10037/11619