Reducing doubt about uncertainty: Guidance for IPCC’s third assessment

It is usually necessary to apply incomplete and uncertain information to inform policy and decision making, creating the need to characterize the state of knowledge and identify when more certain information may be available. After all, some information is better than none and conversely, even perfect information is of no use if it is available only after a decision has been made. In scientific assessments for global change, the challenges are particularly acute because of scientific complexity, long time horizons, and large political and economic stakes, among other factors. Moss and Schneider prepared uncertainty guidelines for the Third Assessment Report (TAR) of the Intergovernmental Panel on Climate Change (IPCC) that recommended a process to make expert judgments of levels of confidence and uncertainty more systematic and transparent. The guidance provided calibrated uncertainty terms to improve communication of findings to users and urged preparation of a traceable account of the authors’ assessment of the evidence for each major finding. This article reviews the recommendations and their effectiveness and highlights ensuing critiques and the evolution of uncertainty guidance for subsequent assessment reports. It discusses emerging challenges in providing science for decision making in the era of increasing model resolution and complexity and burgeoning interest in information to inform adaptation and mitigation at regional and finer scales.

[1]  M. Noguer,et al.  Climate change 2001: The scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2002 .

[2]  Anthony Patt,et al.  Assessing model-based and conflict-based uncertainty , 2007 .

[3]  J. Titus,et al.  Probability of sea level rise , 1995 .

[4]  Shardul Agrawala,et al.  Structural and Process History of the Intergovernmental Panel on Climate Change , 1998 .

[5]  Francis W. Zwiers,et al.  Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties , 2010 .

[6]  Paul K J Han,et al.  Communicating the Uncertainty of Harms and Benefits of Medical Interventions , 2007, Medical decision making : an international journal of the Society for Medical Decision Making.

[7]  A. Patt,et al.  Communicating uncertainty: lessons learned and suggestions for climate change assessment , 2005 .

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

[9]  Myles Allen,et al.  Uncertainty in the IPCC's Third Assessment Report , 2001, Science.

[10]  Jim Giles,et al.  Scientific uncertainty: When doubt is a sure thing , 2002, Nature.

[11]  Anthony Patt,et al.  Using Specific Language to Describe Risk and Probability , 2003 .

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

[13]  medolbec Does climate adaptation policy need probabilities , 2010 .

[14]  R. Prinn,et al.  Uncertainty and Climate Change Assessments , 2001, Science.

[15]  M. Granger Morgan,et al.  Commentary: Uncertainty Analysis in Risk Assessment , 1998 .

[16]  David V. Budescu,et al.  Improving Communication of Uncertainty in the Reports of the Intergovernmental Panel on Climate Change , 2009, Psychological science.

[17]  Martin R. Manning,et al.  The Difficulty of Communicating Uncertainty , 2003 .

[18]  M. G. Morgan,et al.  Subjective judgments by climate experts. , 1995 .

[19]  E. Hawkins,et al.  The potential to narrow uncertainty in projections of regional precipitation change , 2011 .

[20]  Robert J. Lempert,et al.  Climate-change strategy needs to be robust , 2001, Nature.

[21]  Max Henrion,et al.  Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis , 1990 .

[22]  Arthur Petersen,et al.  Agreeing to disagree: uncertainty management in assessing climate change, impacts and responses by the IPCC , 2009 .

[23]  Shardul Agrawala,et al.  Context and Early Origins of the Intergovernmental Panel on Climate Change , 1998 .

[24]  Jim W. Hall,et al.  Imprecise probabilities of climate change: aggregation of fuzzy scenarios and model uncertainties , 2007 .

[25]  Martin Manning,et al.  A Concept Paper for the AR4 Cross Cutting Theme: Uncertainties and Risk , 2003 .

[26]  Jerome R. Ravetz,et al.  Uncertainty and Quality in Science for Policy , 1990 .

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

[28]  A. Petersen Simulating Nature: A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition , 2007 .

[29]  A. Pittock,et al.  Probabilities will help us plan for climate change , 2001, Nature.

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

[31]  Elmar Kriegler,et al.  Utilizing belief functions for the estimation of future climate change , 2005, Int. J. Approx. Reason..

[32]  A. Hense,et al.  Probabilistic climate change predictions applying Bayesian model averaging , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[33]  Mark Mansfield,et al.  Studies in Intelligence , 2010 .

[34]  S. Schneider What is 'dangerous' climate change? , 2001, Nature.

[35]  B. Fischhoff,et al.  The role of social and decision sciences in communicating uncertain climate risks , 2011 .