Modelling the Permian-Triassic climate changes: new insights from the multistability framework

The climate is a nonlinear dynamical system driven by the spatially inhomogeneous energy received from the Sun. The redistribution of energy involves a multitude of processes acting at various spatial and temporal scales. These processes are interconnected, leading to the existence of a multitude of...

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Main Author: Ragon, Charline Nicole
Other Authors: Kasparian, Jérôme, Brunetti, Maura, Verard, Christian
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: Université de Genève 2024
Subjects:
Online Access:https://archive-ouverte.unige.ch/unige:178745
https://doi.org/10.13097/archive-ouverte/unige:178745
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spelling ftunivgeneve:oai:unige.ch:aou:unige:178745 2024-09-09T20:07:52+00:00 Modelling the Permian-Triassic climate changes: new insights from the multistability framework Ragon, Charline Nicole Kasparian, Jérôme Brunetti, Maura Verard, Christian 2024 https://archive-ouverte.unige.ch/unige:178745 https://doi.org/10.13097/archive-ouverte/unige:178745 eng eng Université de Genève https://archive-ouverte.unige.ch/unige:178745 unige:178745 doi:10.13097/archive-ouverte/unige:178745 urn:nbn:ch:unige-1787454 info:eu-repo/semantics/openAccess info:eu-repo/classification/ddc/500.2 info:eu-repo/classification/ddc/333.7-333.9 info:eu-repo/semantics/doctoralThesis Dissertation Thèse 2024 ftunivgeneve https://doi.org/10.13097/archive-ouverte/unige:178745 2024-07-18T23:35:54Z The climate is a nonlinear dynamical system driven by the spatially inhomogeneous energy received from the Sun. The redistribution of energy involves a multitude of processes acting at various spatial and temporal scales. These processes are interconnected, leading to the existence of a multitude of feedback loops that can amplify or compensate each other until a steady state is reached, when a balance between the input of energy, dissipation and feedbacks occurs. Because of the presence of several feedbacks, there are different ways for these mechanisms to equilibrate. Thus, in general, there is not a unique resulting steady state under the same forcing, and the final state depends on the initial conditions, a situation referred to as ‘multistability’. The study of alternative steady states is relevant for deep-time climate modelling, where large uncertainties exist on forcing, boundary, and initial conditions. The Permian-Triassic boundary (ca. 252 Ma) is a period marked by a huge magmatic activity in the Siberian Traps and one of the largest mass extinction, followed by oscillations in climatic conditions during the Early Triassic. The sequence of events that led to the mass extinction of marine and terrestrial species, as well as changes in vegetation distribution and the subsequent variations in the climate, are still unclear. This thesis considers methods and concepts derived from the theory of dynamical systems to construct a numerical procedure which is well adapted to the study of deep-time climates. The multistability framework is used in the case of the Permian-Triassic paleogeography, by performing climate simulations with the MIT (Massachusetts Institute of Technology) general circulation model in a coupled atmosphere-ocean-sea ice-land configuration. Results show the relevance of the multistability framework in the study of deep-time climates. The steady states that we obtain for the Permian-Triassic paleogeography open the possibility of interpreting climate oscillations in the geological ... Doctoral or Postdoctoral Thesis Sea ice Université de Genève: Archive ouverte UNIGE
institution Open Polar
collection Université de Genève: Archive ouverte UNIGE
op_collection_id ftunivgeneve
language English
topic info:eu-repo/classification/ddc/500.2
info:eu-repo/classification/ddc/333.7-333.9
spellingShingle info:eu-repo/classification/ddc/500.2
info:eu-repo/classification/ddc/333.7-333.9
Ragon, Charline Nicole
Modelling the Permian-Triassic climate changes: new insights from the multistability framework
topic_facet info:eu-repo/classification/ddc/500.2
info:eu-repo/classification/ddc/333.7-333.9
description The climate is a nonlinear dynamical system driven by the spatially inhomogeneous energy received from the Sun. The redistribution of energy involves a multitude of processes acting at various spatial and temporal scales. These processes are interconnected, leading to the existence of a multitude of feedback loops that can amplify or compensate each other until a steady state is reached, when a balance between the input of energy, dissipation and feedbacks occurs. Because of the presence of several feedbacks, there are different ways for these mechanisms to equilibrate. Thus, in general, there is not a unique resulting steady state under the same forcing, and the final state depends on the initial conditions, a situation referred to as ‘multistability’. The study of alternative steady states is relevant for deep-time climate modelling, where large uncertainties exist on forcing, boundary, and initial conditions. The Permian-Triassic boundary (ca. 252 Ma) is a period marked by a huge magmatic activity in the Siberian Traps and one of the largest mass extinction, followed by oscillations in climatic conditions during the Early Triassic. The sequence of events that led to the mass extinction of marine and terrestrial species, as well as changes in vegetation distribution and the subsequent variations in the climate, are still unclear. This thesis considers methods and concepts derived from the theory of dynamical systems to construct a numerical procedure which is well adapted to the study of deep-time climates. The multistability framework is used in the case of the Permian-Triassic paleogeography, by performing climate simulations with the MIT (Massachusetts Institute of Technology) general circulation model in a coupled atmosphere-ocean-sea ice-land configuration. Results show the relevance of the multistability framework in the study of deep-time climates. The steady states that we obtain for the Permian-Triassic paleogeography open the possibility of interpreting climate oscillations in the geological ...
author2 Kasparian, Jérôme
Brunetti, Maura
Verard, Christian
format Doctoral or Postdoctoral Thesis
author Ragon, Charline Nicole
author_facet Ragon, Charline Nicole
author_sort Ragon, Charline Nicole
title Modelling the Permian-Triassic climate changes: new insights from the multistability framework
title_short Modelling the Permian-Triassic climate changes: new insights from the multistability framework
title_full Modelling the Permian-Triassic climate changes: new insights from the multistability framework
title_fullStr Modelling the Permian-Triassic climate changes: new insights from the multistability framework
title_full_unstemmed Modelling the Permian-Triassic climate changes: new insights from the multistability framework
title_sort modelling the permian-triassic climate changes: new insights from the multistability framework
publisher Université de Genève
publishDate 2024
url https://archive-ouverte.unige.ch/unige:178745
https://doi.org/10.13097/archive-ouverte/unige:178745
genre Sea ice
genre_facet Sea ice
op_relation https://archive-ouverte.unige.ch/unige:178745
unige:178745
doi:10.13097/archive-ouverte/unige:178745
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op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.13097/archive-ouverte/unige:178745
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