2009
DOI: 10.1029/2008gl036457
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Complementary observational constraints on climate sensitivity

Abstract: [1] A persistent feature of empirical climate sensitivity estimates is their heavy tailed probability distribution indicating a sizeable probability of high sensitivities. Previous studies make general claims that this upper heavy tail is an unavoidable feature of (i) the Earth system, or of (ii) limitations in our observational capabilities. Here we show that reducing the uncertainty about (i) oceanic heat uptake and (ii) aerosol climate forcing can-in principlecut off this heavy upper tail of climate sensiti… Show more

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Cited by 33 publications
(27 citation statements)
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“…1, middle panel). Our analysis suggests that the net anthropogenic RF did not cause a global cooling as is observed (Trenberth et al, 2007) during this period. The posterior RF for the total aerosol effect is weaker than the prior assumptions (Fig.…”
Section: Main Analysismentioning
confidence: 65%
“…1, middle panel). Our analysis suggests that the net anthropogenic RF did not cause a global cooling as is observed (Trenberth et al, 2007) during this period. The posterior RF for the total aerosol effect is weaker than the prior assumptions (Fig.…”
Section: Main Analysismentioning
confidence: 65%
“…Similar to Yohe et al (2004) we account for the positive correlation between estimates of climate sensitivity and the vertical ocean diffusivity (cf. Urban and Table 1 and text), the correlation between the vertical ocean diffusivity K v and climate sensitivity ( Keller 2009) using a nonlinear mapping between climate sensitivity and ocean diffusivity derived from a model fit to the observations.…”
Section: Climate Sensitivitymentioning
confidence: 99%
“…One concern that some climate scientists are beginning to discuss is how ignoring such low probability, high impact events in models, a quite commonplace practice in climate modeling, can result in research being biased towards overconfident climate change projections (Mastrandrea and Schneider 2004;Schneider 2001;Urban and Keller 2009;Goes et al. forthcoming).…”
Section: Integrated Assessment Modelsmentioning
confidence: 97%