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Whose Probabilities? Predicting Climate Change with Ensembles of Models

Published online by Cambridge University Press:  01 January 2022

Abstract

Today's most sophisticated simulation studies of future climate employ not just one climate model but a number of models. I explain why this “ensemble” approach has been adopted—namely, as a means of taking account of uncertainty—and why a comprehensive investigation of uncertainty remains elusive. I then defend a middle ground between two camps in an ongoing debate over the transformation of ensemble results into probabilistic predictions of climate change, highlighting requirements that I refer to as ownership, justification, and robustness.

Type
Research Article
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

Thanks to Lenny Smith and Reto Knutti for helpful discussion. This material is based on work supported by the National Science Foundation under grant 0824287.

References

Frame, David J., et al. 2007. “Probabilistic Climate Forecasts and Inductive Problems.” Philosophical Transactions of the Royal Society A 365:1971–92.Google ScholarPubMed
Furrer, Reinhard, et al. 2007. “Multivariate Bayesian Analysis of Atmosphere-Ocean General Circulation Models.” Environmental and Ecological Statistics 14:249–66.CrossRefGoogle Scholar
IPCC (Intergovernmental Panel on Climate Change). 2007. “Summary for Policymakers.” In Climate Change 2007: The Physical Science Basis; Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, ed. Solomon, Susan et al., 118. New York: Cambridge University Press.Google Scholar
Kandlikar, Milind, Risbey, James, and Dessai, Suraje. 2005. “Representing and Communicating Deep Uncertainty in Climate Change Assessments.” Comptes Rendus Geoscience 337:443–55.CrossRefGoogle Scholar
Knutti, Reto, et al. 2008. “A Review of Uncertainties in Global Temperature Projections over the Twenty-first Century.” Journal of Climate 21:2651–63.CrossRefGoogle Scholar
Meehl, Gerald A., et al. 2007. “Global Climate Projections.” In Climate Change 2007: The Physical Science Basis; Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, ed. Solomon, Susan et al., 747845. New York: Cambridge University Press.Google Scholar
Murphy, James M., et al. 2004. “Quantification of Modelling Uncertainties in a Large Ensemble of Climate Change Simulations.” Nature 430:768–72.CrossRefGoogle Scholar
Murphy, James M.. 2007. “A Methodology for Probabilistic Predictions of Regional Climate Change from Perturbed Physics Ensembles.” Philosophical Transactions of the Royal Society A 365:19932028.Google ScholarPubMed
Parker, Wendy S. 2006. “Understanding Pluralism in Climate Modeling.” Foundations of Science 11:349–68.CrossRefGoogle Scholar
Risbey, James, and Kandlikar, Milind. 2007. “Expressions of Likelihood and Confidence in the IPCC Uncertainty Assessment Process.” Climatic Change 85:1931.CrossRefGoogle Scholar
Roe, Gerard H., and Baker, Marcia B.. 2007. “Why Is Climate Sensitivity So Unpredictable?Science 318:629–32.CrossRefGoogle ScholarPubMed
Rougier, Jonathan C. 2007. “Probabilistic Inference for Future Climate Using an Ensemble of Climate Model Evaluations.” Climatic Change 81:247–64.CrossRefGoogle Scholar
Smith, Leonard A. 2002. “What Might We Learn from Climate Forecasts?Proceedings of the National Academy of Sciences 99:2487–92.CrossRefGoogle ScholarPubMed
Stainforth, David A., et al. 2005. “Uncertainty in Predictions of the Climate Response to Rising Levels of Greenhouse Gases.” Nature 433:403–6.CrossRefGoogle ScholarPubMed
Stainforth, David A.. 2007. “Confidence, Uncertainty and Decision-Support Relevance in Climate Predictions.” Philosophical Transactions of the Royal Society A 365:2145–61.Google ScholarPubMed
Tebaldi, Claudia, et al. 2005. “Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach.” Journal of Climate 18:1524–40.CrossRefGoogle Scholar
Tebaldi, Claudia, and Knutti, Reto. 2007. “The Use of the Multi-model Ensemble in Probabilistic Climate Projections.” Philosophical Transactions of the Royal Society A 365:2053–75.Google ScholarPubMed