Constraints on climate change from a multi-thousand member ensemble of simulations

The first multi thousand member “perturbed physics” ensemble simulation of present and future climate, completed by the distributed computing project climateprediction.net, is used to search for constraints on the response to increasing greenhouse gas levels among present day observable climate vari...

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Published in:Geophysical research letters 2005-12, Vol.32 (23), p.L23825-n/a
Main Authors: Piani, C., Frame, D. J., Stainforth, D. A., Allen, M. R.
Format: Article
Language:English
Subjects:
Atmospheric Processes
Climate change and variability
Global climate models
Mathematical Geophysics
Probabilistic forecasting
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cited_by cdi_FETCH-LOGICAL-a5379-7c4277eabf75bd9dfb3ba5a6eebb30071d8edc8ba572f10757d638a5b6677c403
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container_issue 23
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container_title Geophysical research letters
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creator Piani, C.
Frame, D. J.
Stainforth, D. A.
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description The first multi thousand member “perturbed physics” ensemble simulation of present and future climate, completed by the distributed computing project climateprediction.net, is used to search for constraints on the response to increasing greenhouse gas levels among present day observable climate variables. The search is conducted with a systematic statistical methodology to identify correlations between observables and the quantities we wish to predict, namely the climate sensitivity and the climate feedback parameter. A sensitivity analysis is conducted to ensure that results are minimally dependent on the parameters of the methodology. Our best estimate of climate sensitivity is 3.3 K. When an internally consistent representation of the origins of model‐data discrepancy is used to calculate the probability density function of climate sensitivity, the 5th and 95th percentiles are 2.2 K and 6.8 K respectively. These results are sensitive, particularly the upper bound, to the representation of the origins of model‐data discrepancy.
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source Wiley-Blackwell Journals; Wiley Online Library AGU 2017
subjects Atmospheric Processes
Climate change and variability
Global climate models
Mathematical Geophysics
Probabilistic forecasting
title Constraints on climate change from a multi-thousand member ensemble of simulations
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