2009
DOI: 10.1073/pnas.0805800106
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Setting cumulative emissions targets to reduce the risk of dangerous climate change

Abstract: Avoiding ''dangerous anthropogenic interference with the climate system'' requires stabilization of atmospheric greenhouse gas concentrations and substantial reductions in anthropogenic emissions. Here, we present an inverse approach to coupled climatecarbon cycle modeling, which allows us to estimate the probability that any given level of carbon dioxide (CO 2) emissions will exceed specified long-term global mean temperature targets for ''dangerous anthropogenic interference,'' taking into consideration unce… Show more

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Cited by 279 publications
(214 citation statements)
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“…Forcing from non-CO 2 greenhouse gases, sulfate aerosols, land-use changes, and volcanic events were set to their preindustrial averages throughout these simulations. To explore the effect of carbon cycle feedback strength on the TCRE, the climate sensitivity of the UVic ESCM (to a doubling of CO 2 concentration) was varied to 2.08, 3.28, and 4.58C, following the method of Zickfeld et al (2009). This method takes advantage of the simplified atmospheric model component such that outgoing longwave radiation to space is altered as a function of the change in global mean surface temperature to emulate variable strength of the physical climate feedbacks.…”
Section: B Experiments Designmentioning
confidence: 99%
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“…Forcing from non-CO 2 greenhouse gases, sulfate aerosols, land-use changes, and volcanic events were set to their preindustrial averages throughout these simulations. To explore the effect of carbon cycle feedback strength on the TCRE, the climate sensitivity of the UVic ESCM (to a doubling of CO 2 concentration) was varied to 2.08, 3.28, and 4.58C, following the method of Zickfeld et al (2009). This method takes advantage of the simplified atmospheric model component such that outgoing longwave radiation to space is altered as a function of the change in global mean surface temperature to emulate variable strength of the physical climate feedbacks.…”
Section: B Experiments Designmentioning
confidence: 99%
“…Given that Earth system models expect TCRE to be nearly constant until ]. The most intuitive suspect for that changing factor is the airborne fraction a, which, in models, is known to increase as cumulative carbon emissions rise (e.g., Zickfeld et al 2013). Results from the linear emissions experiments performed with the UVic ESCM help illuminate this problem.…”
Section: A An Exponential Increase In Emissionsmentioning
confidence: 99%
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“…A growing body of evidence indicates that global temperature change is approximately linearly related to cumulative carbon dioxide emissions and largely independent of the pattern of emissions over time [78][79][80][81][82]. Several modelling studies suggest that the most probable cumulative emissions for an average global temperature increase of 2 • C is around 1100 GtC, with a 5-95% uncertainty range of 1-2.5 • C per 1000 GtC [80].…”
Section: Boxmentioning
confidence: 99%
“…Rather, once temperatures have peaked, they would remain almost steady [8][9][10]. Several recent studies have sought to exploit this observation in order to provide a simple link between levels of cumulative emissions and future warming [11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%