Quantifying the probability distribution function of the transient climate response to cumulative CO2 emissions

The Transient Climate Response to Cumulative CO _2 Emissions (TCRE) is the proportionality between global temperature change and cumulative CO _2 emissions. The TCRE implies a finite quantity of CO _2 emissions, or carbon budget, consistent with a given temperature change limit. The uncertainty of t...

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Main Authors: Lynsay Spafford, Andrew H MacDougall
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/ab6d7b
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author Lynsay Spafford
Andrew H MacDougall
author_facet Lynsay Spafford
Andrew H MacDougall
author_sort Lynsay Spafford
collection DOAJ
description The Transient Climate Response to Cumulative CO _2 Emissions (TCRE) is the proportionality between global temperature change and cumulative CO _2 emissions. The TCRE implies a finite quantity of CO _2 emissions, or carbon budget, consistent with a given temperature change limit. The uncertainty of the TCRE is often assumed be normally distributed, but this assumption has yet to be validated. We calculated the TCRE using a zero-dimensional ocean diffusive model and a Monte-Carlo error propagation ( n = 10 000 000) randomly drawing from probability density functions of the climate feedback parameter, the land-borne fraction of carbon, radiative forcing from an e-fold increase in CO _2 concentration, effective ocean diffusivity, and the ratio of sea to global surface temperature change. The calculated TCRE has a positively skewed distribution, ranging from 1.1 to 2.9 K EgC ^−1 (5%–95% confidence), with a mean and median value of 1.9 and 1.8 K EgC ^−1 . The calculated distribution of the TCRE is well described by a log-normal distribution. The CO _2 -only carbon budget compatible with 2 °C warming is 1100 PgC, ranging from 700 to 1800 PgC (5%–95% confidence) estimated using a simplified model of ocean dynamics. Climate sensitivity is the most influential Earth System parameter on the TCRE, followed by the land-borne fraction of carbon, radiative forcing from an e-fold increase in CO _2 , effective ocean diffusivity, and the ratio of sea to global surface temperature change. While the uncertainty of the TCRE is considerable, the use of a log-normal distribution may improve estimations of the TCRE and associated carbon budgets.
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spelling doaj.art-01e906ef0dd742cca6582e4c63bc53522023-08-09T15:03:10ZengIOP PublishingEnvironmental Research Letters1748-93262020-01-0115303404410.1088/1748-9326/ab6d7bQuantifying the probability distribution function of the transient climate response to cumulative CO2 emissionsLynsay Spafford0https://orcid.org/0000-0002-9388-8576Andrew H MacDougall1https://orcid.org/0000-0003-1094-6783Department of Environmental Sciences, Memorial University of Newfoundland , St. John’s, Canada; Climate and Environment, Saint Francis Xavier University , Antigonish, CanadaClimate and Environment, Saint Francis Xavier University , Antigonish, CanadaThe Transient Climate Response to Cumulative CO _2 Emissions (TCRE) is the proportionality between global temperature change and cumulative CO _2 emissions. The TCRE implies a finite quantity of CO _2 emissions, or carbon budget, consistent with a given temperature change limit. The uncertainty of the TCRE is often assumed be normally distributed, but this assumption has yet to be validated. We calculated the TCRE using a zero-dimensional ocean diffusive model and a Monte-Carlo error propagation ( n = 10 000 000) randomly drawing from probability density functions of the climate feedback parameter, the land-borne fraction of carbon, radiative forcing from an e-fold increase in CO _2 concentration, effective ocean diffusivity, and the ratio of sea to global surface temperature change. The calculated TCRE has a positively skewed distribution, ranging from 1.1 to 2.9 K EgC ^−1 (5%–95% confidence), with a mean and median value of 1.9 and 1.8 K EgC ^−1 . The calculated distribution of the TCRE is well described by a log-normal distribution. The CO _2 -only carbon budget compatible with 2 °C warming is 1100 PgC, ranging from 700 to 1800 PgC (5%–95% confidence) estimated using a simplified model of ocean dynamics. Climate sensitivity is the most influential Earth System parameter on the TCRE, followed by the land-borne fraction of carbon, radiative forcing from an e-fold increase in CO _2 , effective ocean diffusivity, and the ratio of sea to global surface temperature change. While the uncertainty of the TCRE is considerable, the use of a log-normal distribution may improve estimations of the TCRE and associated carbon budgets.https://doi.org/10.1088/1748-9326/ab6d7btransient climate response to cumulative CO2 emissionscarbon budgetsclimate sensitivityland-borne fraction of carboncarbon-climate feedback
spellingShingle Lynsay Spafford
Andrew H MacDougall
Quantifying the probability distribution function of the transient climate response to cumulative CO2 emissions
Environmental Research Letters
transient climate response to cumulative CO2 emissions
carbon budgets
climate sensitivity
land-borne fraction of carbon
carbon-climate feedback
title Quantifying the probability distribution function of the transient climate response to cumulative CO2 emissions
title_full Quantifying the probability distribution function of the transient climate response to cumulative CO2 emissions
title_fullStr Quantifying the probability distribution function of the transient climate response to cumulative CO2 emissions
title_full_unstemmed Quantifying the probability distribution function of the transient climate response to cumulative CO2 emissions
title_short Quantifying the probability distribution function of the transient climate response to cumulative CO2 emissions
title_sort quantifying the probability distribution function of the transient climate response to cumulative co2 emissions
topic transient climate response to cumulative CO2 emissions
carbon budgets
climate sensitivity
land-borne fraction of carbon
carbon-climate feedback
url https://doi.org/10.1088/1748-9326/ab6d7b
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