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Beyond global mean warming: Pathways to multiple climate targets

Beyond global mean warming: Pathways to multiple climate targets
Beyond global mean warming: Pathways to multiple climate targets
Climate change is a defining issue of the 21st century, impacting weather patterns, sea levels, crop production, ecosystem function and human health. Currently the global aim to limit climate change is framed by an aim to limit warming, specifically by reducing anthropogenic CO2 emissions because these are the main driver of warming. As such, remaining carbon budgets (RCBs) are defined by exploiting the near-linear relationship between cumulative CO2 emissions and warming. This is arguably an incomplete solution. Firstly, although the relationship between warming and cumulative emissions is near-linear, there is uncertainty in the constant of proportionality. There are also aspects of climate change that are not necessarily addressed by limiting global mean warming. These include ocean acidification, which is caused by ocean absorption of CO2 but not linked to warming, and sea level rise, which is caused by warming but has uncertainty and pathway dependence that is not addressed in policy that aims to limit only warming. This thesis explores how other impacts of climate change (beyond global mean warming) can be used to frame RCBs. This is done with a reduced-complexity Earth systems model with a semi-empirical method for calculating sea level rise. In Chapter 2, an RCB is defined using both warming and surface ocean acidification targets. In Chapter 3, the impact on uncertainty of allowing ice melt to vary nonlinearly with warming is explored. In Chapter 4, the model is used to quantify how much CO2 must be removed from the atmosphere to reduce the commitment to sea level rise to zero. Using a reduced-complexity model is computationally cheap, so a large ensemble can be used to assess parametric (related to model parameters) uncertainty in climate projections. When warming and acidification are used together to frame an RCB, uncertainty in the RCB is reduced because the upper end of the uncertainty distribution is lowered. Uncertainty is increased by considering a nonlinear relationship between warming and ice melt, the level of carbon emissions we must remove from the atmosphere to prevent future sea level rise is better constrained than the most recent RCB estimate.
Climate Change, Sea Level Rise, Ocean Acidification, Remaining Carbon Budget, Climate Model
University of Southampton
Avrutin, Sandy
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Avrutin, Sandy
d2ca1dcf-ce52-46bd-8ce3-c6175a14f4ed
Goodwin, Philip
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Ezard, Tom
a143a893-07d0-4673-a2dd-cea2cd7e1374
Haigh, Ivan
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Nicholls, Robert
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Avrutin, Sandy (2024) Beyond global mean warming: Pathways to multiple climate targets. University of Southampton, Doctoral Thesis, 129pp.

Record type: Thesis (Doctoral)

Abstract

Climate change is a defining issue of the 21st century, impacting weather patterns, sea levels, crop production, ecosystem function and human health. Currently the global aim to limit climate change is framed by an aim to limit warming, specifically by reducing anthropogenic CO2 emissions because these are the main driver of warming. As such, remaining carbon budgets (RCBs) are defined by exploiting the near-linear relationship between cumulative CO2 emissions and warming. This is arguably an incomplete solution. Firstly, although the relationship between warming and cumulative emissions is near-linear, there is uncertainty in the constant of proportionality. There are also aspects of climate change that are not necessarily addressed by limiting global mean warming. These include ocean acidification, which is caused by ocean absorption of CO2 but not linked to warming, and sea level rise, which is caused by warming but has uncertainty and pathway dependence that is not addressed in policy that aims to limit only warming. This thesis explores how other impacts of climate change (beyond global mean warming) can be used to frame RCBs. This is done with a reduced-complexity Earth systems model with a semi-empirical method for calculating sea level rise. In Chapter 2, an RCB is defined using both warming and surface ocean acidification targets. In Chapter 3, the impact on uncertainty of allowing ice melt to vary nonlinearly with warming is explored. In Chapter 4, the model is used to quantify how much CO2 must be removed from the atmosphere to reduce the commitment to sea level rise to zero. Using a reduced-complexity model is computationally cheap, so a large ensemble can be used to assess parametric (related to model parameters) uncertainty in climate projections. When warming and acidification are used together to frame an RCB, uncertainty in the RCB is reduced because the upper end of the uncertainty distribution is lowered. Uncertainty is increased by considering a nonlinear relationship between warming and ice melt, the level of carbon emissions we must remove from the atmosphere to prevent future sea level rise is better constrained than the most recent RCB estimate.

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More information

Submitted date: December 2023
Published date: February 2024
Keywords: Climate Change, Sea Level Rise, Ocean Acidification, Remaining Carbon Budget, Climate Model

Identifiers

Local EPrints ID: 487379
URI: http://eprints.soton.ac.uk/id/eprint/487379
PURE UUID: 96afcdd9-8954-4358-bda8-608a6fdb6d03
ORCID for Sandy Avrutin: ORCID iD orcid.org/0000-0002-3064-2712
ORCID for Philip Goodwin: ORCID iD orcid.org/0000-0002-2575-8948
ORCID for Tom Ezard: ORCID iD orcid.org/0000-0001-8305-6605
ORCID for Ivan Haigh: ORCID iD orcid.org/0000-0002-9722-3061

Catalogue record

Date deposited: 20 Feb 2024 03:01
Last modified: 11 Apr 2024 01:57

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Contributors

Author: Sandy Avrutin ORCID iD
Thesis advisor: Philip Goodwin ORCID iD
Thesis advisor: Tom Ezard ORCID iD
Thesis advisor: Ivan Haigh ORCID iD
Thesis advisor: Robert Nicholls

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