Reasoning about climate uncertainty

This paper argues that the IPCC has oversimplified the issue of uncertainty in its Assessment Reports, which can lead to misleading overconfidence. A concerted effort by the IPCC is needed to identify better ways of framing the climate change problem, explore and characterize uncertainty, reason about uncertainty in the context of evidence-based logical hierarchies, and eliminate bias from the consensus building process itself.

[1]  D. Sornette Dragon-Kings, Black Swans and the Prediction of Crises , 2009 .

[2]  G. Guyatt,et al.  GRADE: an emerging consensus on rating quality of evidence and strength of recommendations , 2008, BMJ : British Medical Journal.

[3]  Milind Kandlikar,et al.  Expressions of likelihood and confidence in the IPCC uncertainty assessment process , 2007 .

[4]  Thomas Kelly,et al.  Disagreement, Dogmatism, and Belief Polarization , 2008 .

[5]  Jim W. Hall,et al.  Influence Diagrams for Representing Uncertainty in Climate-Related Propositions , 2005 .

[6]  B. Wynne Uncertainty and environmental learning: reconceiving science and policy in the preventive paradigm. , 1992 .

[7]  Peter J. Webster,et al.  Climate Science and the Uncertainty Monster , 2011 .

[8]  Mason Inman The climate change game , 2009 .

[9]  David J Spiegelhalter,et al.  Don't know, can't know: embracing deeper uncertainties when analysing risks , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[10]  Milind Kandlikar,et al.  Representing and communicating deep uncertainty in climate-change assessments , 2005 .

[11]  J. A. Wardekker,et al.  Frame-based guide to situated decision-making on climate change , 2009 .

[12]  Marshall F Chalverus,et al.  The Black Swan: The Impact of the Highly Improbable , 2007 .

[13]  G. Hegerl,et al.  Comment on “Climate Science and the Uncertainty Monster” J. A. Curry and P. J. Webster , 2011 .

[14]  C. Brooks Climatic Change , 1913, Nature.

[15]  D. Spiegelhalter A statistical view of uncertainty in expert systems , 1986 .

[16]  J. Annan,et al.  On the generation and interpretation of probabilistic estimates of climate sensitivity , 2011 .

[17]  W. Walker,et al.  Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support , 2003 .

[18]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[19]  Mitchell J. Small,et al.  Best Practice Approaches for Characterizing, Communicating, and Incorporating Scientific Uncertainty in Decision Making , 2009 .

[20]  Jeroen P. van der Sluijs,et al.  Beyond consensus : reflections from a democratic perspective on the interaction between climate politics and science , 2010 .

[21]  Brian C. O'Neill,et al.  The Limits of Consensus , 2007, Science.

[22]  S. Funtowicz,et al.  Combining Quantitative and Qualitative Measures of Uncertainty in Model‐Based Environmental Assessment: The NUSAP System , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[23]  Gabriele Bammer,et al.  Uncertainty and Risk: Multidisciplinary Perspectives , 2008 .

[24]  Nebojsa Nakicenovic,et al.  Identifying dangers in an uncertain climate , 2001, Nature.

[25]  D A Stainforth,et al.  Confidence, uncertainty and decision-support relevance in climate predictions , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[26]  Gregor Betz,et al.  Underdetermination, Model-ensembles and Surprises: On the Epistemology of Scenario-analysis in Climatology , 2009 .

[27]  D. Sornette Dragon-Kings, Black Swans and the Prediction of Crises , 2009, 0907.4290.

[28]  Klaus Hasselmann,et al.  The climate change game , 2010 .

[29]  Alexander M. Millkey The Black Swan: The Impact of the Highly Improbable , 2009 .

[30]  Andrew P. Sage,et al.  Uncertainty in Artificial Intelligence , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[31]  van der J.P. Sluijs,et al.  Room for climate debate : perspectives on the interaction between climate politics, science and the media , 2010 .

[32]  W. Cui,et al.  Interval probability theory for evidential support , 1990, Int. J. Intell. Syst..