Literature DB >> 11961551

Origins and estimates of uncertainty in predictions of twenty-first century temperature rise.

Peter A Stott1, J A Kettleborough.   

Abstract

Predictions of temperature rise over the twenty-first century are necessarily uncertain, both because the sensitivity of the climate system to changing atmospheric greenhouse-gas concentrations, as well as the rate of ocean heat uptake, is poorly quantified and because future influences on climate-of anthropogenic as well as natural origin-are difficult to predict. Past observations have been used to help constrain the range of uncertainties in future warming rates, but under the assumption of a particular scenario of future emissions. Here we investigate the relative importance of the uncertainty in climate response to a particular emissions scenario versus the uncertainty caused by the differences between future emissions scenarios for our estimates of future change. We present probabilistic forecasts of global-mean temperatures for four representative scenarios for future emissions, obtained with a comprehensive climate model. We find that, in the absence of policies to mitigate climate change, global-mean temperature rise is insensitive to the differences in the emissions scenarios over the next four decades. We also show that in the future, as the signal of climate change emerges further, the predictions will become better constrained.

Year:  2002        PMID: 11961551     DOI: 10.1038/416723a

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  13 in total

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6.  Contributions of past and present human generations to committed warming caused by carbon dioxide.

Authors:  Pierre Friedlingstein; Susan Solomon
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7.  The worldwide airline network and the dispersal of exotic species: 2007-2010.

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9.  Weighting climate model projections using observational constraints.

Authors:  Nathan P Gillett
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10.  Predicting future uncertainty constraints on global warming projections.

Authors:  H Shiogama; D Stone; S Emori; K Takahashi; S Mori; A Maeda; Y Ishizaki; M R Allen
Journal:  Sci Rep       Date:  2016-01-11       Impact factor: 4.379

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