Impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain
This dissertation presents a multidisciplinary approach to climate change research. It explores the limitations of the current scenario-building framework used by the Intergovernmental Panel on Climate Change (IPCC) and presents new strategies for better understanding climate futures. Using Pathfind...
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ftinsu:oai:HAL:tel-04262686v1 2024-04-28T08:12:23+00:00 Impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain Objectifs climatiques définis en termes d’impacts : obtention de faisceaux de trajectoires d’activités anthropiques compatibles par inversion de la chaine causale Bossy, Thomas Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Université Paris-Saclay Philippe Bousquet Philippe Ciais 2023-10-02 https://theses.hal.science/tel-04262686 https://theses.hal.science/tel-04262686/document https://theses.hal.science/tel-04262686/file/128898_BOSSY_2023_archivage.pdf en eng HAL CCSD NNT: 2023UPASJ022 tel-04262686 https://theses.hal.science/tel-04262686 https://theses.hal.science/tel-04262686/document https://theses.hal.science/tel-04262686/file/128898_BOSSY_2023_archivage.pdf info:eu-repo/semantics/OpenAccess https://theses.hal.science/tel-04262686 Global Changes. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPASJ022⟩ Climate models Paris Agreement Climate impacts Carbon cycle Emissions scenarios Modèles climatiques Accords de Paris Impacts climatiques Cycle du carbone Scénarios d'émissions [SDE.MCG]Environmental Sciences/Global Changes [SDE.ES]Environmental Sciences/Environment and Society [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation info:eu-repo/semantics/doctoralThesis Theses 2023 ftinsu 2024-04-05T00:27:42Z This dissertation presents a multidisciplinary approach to climate change research. It explores the limitations of the current scenario-building framework used by the Intergovernmental Panel on Climate Change (IPCC) and presents new strategies for better understanding climate futures. Using Pathfinder, a simple model focused on climate and the carbon cycle, this research fills a gap in the range of existing simple climate models by incorporating the latest data and providing a backward, temperature-driven examination of climate change scenarios.Prospects for improvement are then identified by discussing the representation of the ocean in Pathfinder, focusing on the Ocean Heat-Carbon Nexus and its critical role in the global carbon cycle and the response of Earth's climate to cumulative CO2 emissions. A comparison is made between the representations of the Ocean Heat-Carbon Nexus in Pathfinder and state-of-the-art Earth system models, highlighting the significant discrepancies and potential implications for future warming scenarios.After introducing Pathfinder, my research first examines the CO2 emission reductions physically required to meet the 1.5C global warming target, emphasizing the importance of CO2 emissions from land use and non-CO2 forcing. We then reverse the causal chain to link environmental impacts to anthropogenic activities, which is a unique approach. The study maps the spaces of anthropogenic activities compatible with planetary boundaries and introduces a modeling framework that accounts for global warming, ocean acidification, sea level rise, and Arctic sea ice melt.Furthermore, this thesis examines the role of Integrated Assessment Models (IAMs) in understanding the costs associated with these climate scenarios. It explores the impact of conceptual choices in these models on the identification of robust mitigation pathways and examines the effects of physical uncertainty and intergenerational equity.This manuscript concludes with an appreciation of the key contributions of my doctoral ... Doctoral or Postdoctoral Thesis Arctic Climate change Global warming Ocean acidification Sea ice Institut national des sciences de l'Univers: HAL-INSU |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
Climate models Paris Agreement Climate impacts Carbon cycle Emissions scenarios Modèles climatiques Accords de Paris Impacts climatiques Cycle du carbone Scénarios d'émissions [SDE.MCG]Environmental Sciences/Global Changes [SDE.ES]Environmental Sciences/Environment and Society [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation |
spellingShingle |
Climate models Paris Agreement Climate impacts Carbon cycle Emissions scenarios Modèles climatiques Accords de Paris Impacts climatiques Cycle du carbone Scénarios d'émissions [SDE.MCG]Environmental Sciences/Global Changes [SDE.ES]Environmental Sciences/Environment and Society [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Bossy, Thomas Impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain |
topic_facet |
Climate models Paris Agreement Climate impacts Carbon cycle Emissions scenarios Modèles climatiques Accords de Paris Impacts climatiques Cycle du carbone Scénarios d'émissions [SDE.MCG]Environmental Sciences/Global Changes [SDE.ES]Environmental Sciences/Environment and Society [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation |
description |
This dissertation presents a multidisciplinary approach to climate change research. It explores the limitations of the current scenario-building framework used by the Intergovernmental Panel on Climate Change (IPCC) and presents new strategies for better understanding climate futures. Using Pathfinder, a simple model focused on climate and the carbon cycle, this research fills a gap in the range of existing simple climate models by incorporating the latest data and providing a backward, temperature-driven examination of climate change scenarios.Prospects for improvement are then identified by discussing the representation of the ocean in Pathfinder, focusing on the Ocean Heat-Carbon Nexus and its critical role in the global carbon cycle and the response of Earth's climate to cumulative CO2 emissions. A comparison is made between the representations of the Ocean Heat-Carbon Nexus in Pathfinder and state-of-the-art Earth system models, highlighting the significant discrepancies and potential implications for future warming scenarios.After introducing Pathfinder, my research first examines the CO2 emission reductions physically required to meet the 1.5C global warming target, emphasizing the importance of CO2 emissions from land use and non-CO2 forcing. We then reverse the causal chain to link environmental impacts to anthropogenic activities, which is a unique approach. The study maps the spaces of anthropogenic activities compatible with planetary boundaries and introduces a modeling framework that accounts for global warming, ocean acidification, sea level rise, and Arctic sea ice melt.Furthermore, this thesis examines the role of Integrated Assessment Models (IAMs) in understanding the costs associated with these climate scenarios. It explores the impact of conceptual choices in these models on the identification of robust mitigation pathways and examines the effects of physical uncertainty and intergenerational equity.This manuscript concludes with an appreciation of the key contributions of my doctoral ... |
author2 |
Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Université Paris-Saclay Philippe Bousquet Philippe Ciais |
format |
Doctoral or Postdoctoral Thesis |
author |
Bossy, Thomas |
author_facet |
Bossy, Thomas |
author_sort |
Bossy, Thomas |
title |
Impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain |
title_short |
Impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain |
title_full |
Impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain |
title_fullStr |
Impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain |
title_full_unstemmed |
Impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain |
title_sort |
impact-defined climate targets : estimating ensembles of pathways of compatible anthropogenic drivers through inversion of the cause-effect chain |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://theses.hal.science/tel-04262686 https://theses.hal.science/tel-04262686/document https://theses.hal.science/tel-04262686/file/128898_BOSSY_2023_archivage.pdf |
genre |
Arctic Climate change Global warming Ocean acidification Sea ice |
genre_facet |
Arctic Climate change Global warming Ocean acidification Sea ice |
op_source |
https://theses.hal.science/tel-04262686 Global Changes. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPASJ022⟩ |
op_relation |
NNT: 2023UPASJ022 tel-04262686 https://theses.hal.science/tel-04262686 https://theses.hal.science/tel-04262686/document https://theses.hal.science/tel-04262686/file/128898_BOSSY_2023_archivage.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1797579271749763072 |