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Volumn 365, Issue 1857, 2007, Pages 1957-1970

Ensembles and probabilities: A new era in the prediction of climate change

Author keywords

Climate change; Prediction; Probability; Uncertainty

Indexed keywords


EID: 34547225982     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2007.2068     Document Type: Review
Times cited : (163)

References (14)
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    • Frame, D.J.1    Faull, N.E.2    Joshi, M.M.3    Allen, M.R.4
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    • Ensemble climate simulations using a fully coupled ocean-troposphere-stratosphere general circulation model
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    • Huebener, H.1    Cubasch, U.2    Langematz, U.3    Spangehl, T.4    Nierhorster, F.5    Fast, I.6    Kunze, M.7
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    • Probabilistic, climate change predictions applying Bayesian model averaging
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    • Min, S.-K., Simonis, D. & Hense, A. 2007 Probabilistic, climate change predictions applying Bayesian model averaging. Phil. Trans. R. Soc. A 365, 2103-2116. (doi:10.1098/rsta.2007.2070)
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    • Min, S.-K.1    Simonis, D.2    Hense, A.3
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    • A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles
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    • Murphy, J. M., Booth, B. B. B., Collins, M., Harris, G. R., Sexton, D. & Webb, M. 2007 A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles. Phil. Trans. R. Soc. A 365, 1993-2028. (doi:10.1098/rsta.2007.2077)
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    • Murphy, J.M.1    Booth, B.B.B.2    Collins, M.3    Harris, G.R.4    Sexton, D.5    Webb, M.6
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    • Challenges in using probabilistic climate change information for impact assessments: An example from the water sector
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    • New, M., Lopez, A., Dessai, S. & Wilby, R. 2007 Challenges in using probabilistic climate change information for impact assessments: an example from the water sector. Phil. Trans. R. Soc. A 365, 2117-2131. (doi:10.1098/rsta.2007.2080)
    • (2007) Phil. Trans. R. Soc. A , vol.365 , pp. 2117-2131
    • New, M.1    Lopez, A.2    Dessai, S.3    Wilby, R.4
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    • Palmer, T. N. & Hagedorn, R, eds, Cambridge, UK: Cambridge University Press
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  • 9
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    • Inference in ensemble experiments
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