1 IPCC. Climate Change 2007: The Physical Science Basis. Summary for Policymakers. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland: Intergovernmental Panel on Climate Change
; 2007; 18.
2 Ascher, W. Scientific information and uncertainty: challenges for the use of science in policymaking. Sci Eng Ethics 2004; 10: 437–455.
3 CCSP. %22Impacts of climate change and variability on transportation systems and infrastructure: Gulf Coast study, phase I.%22 In: Savonis, MJ, Burkett, VR, Potter, JR, eds. A Report by the US Climate Change Science Program and the Subcommittee on Global Change Research. Washington, DC: Department of Transportation
; 2008; 445.
4 Lempert, RJ, Popper, SW. High‐performance government in an uncertain world. Presented at Conference of the Pardee‐RAND‐Graduate‐School on High‐Performance Government, Santa Monica, CA, March 2004.
5 NRC. Evaluating Progress of the U.S. Climate Change Science Program: Methods and Preliminary Results. Washington, DC: National Research Council of the National Academies
6 Weart, SR. The Discovery of Global Warming. Cambridge, MA: Harvard University Press
7 Arrhenius, S. On the influence of carbonic acid in the air upon the temperature of the ground. Philos Mag 1896; 41: 237–276.
8 Callendar, GS. The artificial production of carbon dioxide and its influence on climate. Quart J R Meteor Soc 1938; 64: 223–240.
9 Budyko, M. The future climate. EOS Trans Am Geophys Union 1972; 53: 868–874.
10 Manabe, S. Climate and ocean circulation. I. Atmospheric circulation and hydrology of Earth`s surface. Mon Weather Rev 1969; 97: 739.
11 Farber, DA. Climate Models: A Users Guide. Berkeley: University of California
12 Lahsen, M. Seductive simulations? Uncertainty distribution around climate models. Soc Stud Sci 2005; 35: 895–922.
13 Palmer, TN, Doblas‐Reyes, FJ, Hagedorn, R, Weisheimer, A. Probabilistic prediction of climate using multi‐model ensembles: from basics to applications. Philos Trans R Soc B Biol Sci 2005; 360: 1991–1998.
14 Giorgi, F. Climate change prediction. Clim Change 2005; 73: 239–265.
15 Palmer, TN. Predicting uncertainty in forecasts of weather and climate. Rep Prog Phys 2000; 63: 71–116.
16 Palmer, TN, Doublas‐Reyes, FJ, Weisheimer, A, Rodwell, MJ. Toward seamless prediction: calibration of climate change projection using seasonal forecasts. Bull Am Meteor Soc 2008; 89: 459–470.
17 Shackley, S, Wynne, B. Representing uncertainty in global climate change science and policy: boundary‐ordering devices and authority. Sci Tech Human Values 1996; 21: 275–303.
18 Kandlikar, M, Risbey, J, Dessai, S. Representing and communicating deep uncertainty in climate‐change assessments. Comptes Rendus Geosci 2005; 337: 443–455.
19 USGCRP. In: Karl, TR, Melillo, JM, Peterson, TC, eds. Global Climate Change Impacts in the United States. New York: Cambridge University Press
; 2009; 192 pp. Available at: http://downloads.globalchange.gov/usimpacts/pdfs/climate‐impacts‐report.pdf
20 Pollack, HN. Uncertain Climate … Uncertain World. Cambridge, UK: Cambridge University Press
21 Kopp, RE, Simons, FJ, Mitrovica, JX, Maloof, AC, Oppenheimer, M. Probabilistic assessment of sea level during the last interglacial stage. Nature 2009; 462: 863–867.
22 Hempel, L. Environmental Governance: The Global Challenge. Washington, DC: Island Press
23 Hartmann, HC, Pagano, TC, Sorooshian, S, Bales, R. Confidence builders: evaluating seasonal climate forecasts from user perspectives. Bull Am Meteorol Soc 2002; 8: 683–698.
24 Pagano, TC, Hartmann, HC, Sorooshian, S. Factors affecting seasonal forecast use in Arizona water management: a case study of the 1997‐98 El Nino. Clim Res 2002; 21: 259–269.
25 Lemos, MC. A tale of two policies: the politics of seasonal climate forecast use in Ceará, Brazil. Policy Sci 2003; 32: 101–123.
26 McNie, EC. Reconciling the supply of scientific information with user demands: an analysis of the problem and review of the literature. Environ Sci Policy 2007; 10: 17–38.
27 Lemos, MC, Morehouse, B. The co‐production of science and policy in integrated climate assessments. Glob Environ Change 2005; 15: 57–68.
28 Ingram, KT, Roncoli, C, Kirshen, PH. Opportunities and constraints for farmers of west Africa to use seasonal precipitation forecasts with Burkina Faso as a case study. Agric Syst 2002; 74: 331–349.
29 Cash, D, Buizer, J. Knowledge‐action Systems for Seasonal to Interannual Climate Forecasting: Summary of a Workshop. Roundtable on Science and Technology for Sustainability, Policy and Global Affairs
. Washington, DC: National Research Council of the National Academies; 2005.
30 Lemos, MC. What influences innovation adoption by water managers? Climate information use in Brazil and the US. J Am Water Resour Assoc 2008; 44: 1388–1396.
31 Rayner, S, Lach, D, Ingram, H. Weather forecasts are for wimps: why water resource managers do not use climate forecasts. Clim Change 2005; 69: 197–227.
32 Lemos, MC, Dilling, L. Equity in forecasting climate: can science save the world`s poor? Sci Pub Policy 2007; 34: 109–116.
33 Ingram, H, Feldman, DL, Jacobs, KL, Mantua, N, Lemos, MC, Morehouse, B, Waple, AM, Beller‐Simms, N. %22Looking toward the future.%22 In: Beller‐Simms, N, Ingram, H, Feldman, D, Mantua, N, Jacobs, KL, Waple, AM, eds. Decision‐support Experiments and Evaluations Using Seasonal‐to‐interannual Forecasts and Observational Data: A Focus on Water Resources A Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research. Asheville, NC: NOAA`s National Climatic Data Center
; 2008; 141–154.
34 Dilling, L, Moser, S. Creating a Climate for Change: Communicating Climate Change and Facilitating Social Change. Cambridge, UK: Cambridge University Press
35 Hulme, M, Dessai, S. Negotiating future climates for public policy: a critical assessment of the development of climate scenarios for the UK. Environ Sci Policy 2008; 11: 54–70.
36 Christine, K. Integrating Science and Policy: Climate Change Assessments and Water Resources Management
. Unpublished PhD Dissertation, School of Natural Resources and Environment, University of Michigan; 2010.
37 Agrawala, S, Broad, K, Guston, DH. Integrating climate forecasts and societal decision making: challenges to an emergent boundary organization. Sci Technol Human Values 2001; 26: 454–477.
38 Weiss, CH. %22Improving the linkage between social research and public policy.%22 In: Lynn LE,, ed. Knowledge and Policy: The Uncertain Connection. Washington, DC: National Academy of Sciences
39 NRC. Informing Decisions in a Changing Climate—Panel on Strategies and Methods for Climate‐related Decision Support. Washington, DC: National Research Council of the National Academies
40 Lemos, MC, Finan, T, Fox, R, Nelson, D, Tucker, J. The use of seasonal climate forecasting in policymaking: lessons from Northeast Brazil. Clim Change 2002; 55: 479–507.
41 Pressman, JL, Wildavsky, AB. Implementation: How Great Expectations in Washington Are Dashed in Oakland: Or, Why It`s Amazing that Federal Programs Work At All, This Being a Saga of the Economic Development Administration as Told by Two Sympathetic Observers Who Seek to Build Morals on a Foundation Of Ruined Hopes. Berkeley: University of California Press
42 Skjaerseth, JB. The ‘successful’ ozone‐layer negotiations are there any lessons to be learned? Glob Environ Change 1992; 4: 292–300.
43 Sarewitz, D, Pielke, R Jr.
Breaking the global‐warming gridlock. Atl Mon 2000; 286: 54–64.
44 Hulme, M. Why We Disagree About Climate Change: Understanding Controversy, Inaction and Opportunity. Cambridge, UK: Cambridge University Press
45 van Kerkhoff, L, Lebel, L. Linking knowledge and action for sustainable development. Ann Rev Environ Resour 2006; 31: 445–477.
46 Bedritsky, AI. From prediction to action: meteorology and the war on climate change. Harvard Int Rev 2008; Summer: 52–56.
47 Shukla, J, Hagedorn, R, Hoskins, B, Kinter, J, Marotzke, J, Miller, M, Palmer, TN, Slingo, J. Revolution in climate prediction is both necessary and possible: a declaration at the world modelling summit for climate prediction. Bull Am Meteorol Soc 2009; 90: 175–178.
48 Grundmann, R. Ozone and climate—scientific consensus and leadership. Sci Technol Hum Values 2006; 31: 73–101.
49 Freudenburg, WR, Gramling, R, Davidson, DJ. Scientific certainty argumentation methods (SCAMs): science and the politics of doubt. Sociol Inq 2008; 78: 2–38.
50 CCSP. In: Beller‐Simms, N, Ingram, H, Feldman, D, Mantua, N, Jacobs, KL, Waple, AM, eds. Decision‐support Experiments and Evaluations using Seasonal‐to‐interannual Forecasts and Observational Data: A Focus on Water Resources. A Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research. Asheville, NC: NOAA`s National Climatic Data Center
; 2008; 192.
51 Schenk, NJ, Lensink, SM. Communicating uncertainty in the IPCC`s greenhouse gas emissions scenarios. Clim Change 2007; 82: 293–308.
52 CCSP. In: Morgan, G, Dowlatabadi, H, Henrion, M, Keith, D, Lempert, R, McBrid, S, Small, M, Wilbanks, T, eds. Best Practice Approaches for Characterizing, Communicating, and Incorporating Scientific Uncertainty in Decision Making. Washington, DC: National Oceanic and Atmospheric Administration
53 Hulme, M, Dessai, S. Ventures should not overstate their aims just to secure funding. Nature 2008; 453: 979.
54 Vogel, C, O`Brien, K. Who can eat information? Examining the effectiveness of seasonal climate forecasts and regional climate‐risk management strategies. Clim Res 2006; 33: 111–122.
55 Meinke, H, Nelson, R, Kokic, P, Stone, R, Selvaraju, R, Baethgen, W. Actionable climate knowledge: from analysis to synthesis. Clim Res 2008; 33: 101–110.
56 Broad, K, Pfaff, A, Taddei, R, Sankarasubramanian, A, Lall, U, de Souza, FD. Climate, stream flow prediction and water management in northeast Brazil: societal trends and forecast value. Clim Change 2007; 84: 217–239.
57 Harrison, M. The development of seasonal and inter‐annual climate forecasting. Clim Change 2005; 70: 201–220.
58 Johnston, PA, Archer, ERM, Vogel, CH, Bezuidenhout, CN, Tennant, WJ, Kuschke, R. Review of seasonal forecasting in South Africa: producer to end‐user. Clim Res 2004; 28: 67–82.
59 Roncoli, C, Jost, C, Kirshen, P, Sanon, M, Ingram, KT, Woodin, M, Some, L, Ouattara, F, Sanfo, BJ, Sia, C, Yaka, P, Hoogenboom, G. From accessing to assessing forecasts: an end‐to‐end study of participatory climate forecast dissemination in Burkina Faso (West Africa). Clim Change 2009; 92: 433–460.
60 Zebiak, S, Cane, MA. A model El Niño/Southern oscillation. Mon Weather Rev 1987; 115: 2262–2278.
61 Gilles, JL, Valdivia, C. Local forecast communication in the Altiplano. Bull Am Meteorol Soc 2009; 90: 85–91.
62 Broad, K, Pfaff, ASP, Glantz, MH. Effective and equitable dissemination of seasonal‐to‐interannual climate forecasts: policy implications from the Peruvian fishery during El Niño 1997‐98. Clim Change 2002; 54: 415–438.
63 Patt, AG, Ogallo, L, Hellmuth, M. Sustainability—learning from 10 years of climate outlook forums in Africa. Science 2007; 318: 49–50.
64 Klopper, E, Vogel, CH, Landman, WA. Seasonal climate forecasts—potential agricultural‐risk management tools? Clim Change 2006; 76: 73–90.
65 Adger, WN, Vincent, K. Uncertainty in adaptive capacity. C R Geoscience 2005; 337: 399–410.
66 Dessai, S, Hulme, M. Does climate adaptation policy need probabilities? Clim Policy 2004; 4: 107–128.
67 Lempert, R, Nakicenovic, N, Sarewitz, D, Schlesinger, M. Characterizing climate‐change uncertainties for decision‐makers—an editorial essay. Clim Change 2004; 65: 1–9.
68 Lempert, RJ, Collins, MT. Managing the risk of uncertain threshold responses: comparison of robust, optimum, and precautionary approaches. Risk Anal 2007; 27: 1009–1026.
69 Betz, G. Probabilities in climate policy advice: a critical comment. Clim Change 2007; 85: 1–9.
70 Dessai, S, Hulme, M. Assessing the robustness of adaptation decisions to climate change uncertainties: a case study on water resources management in the East of England. Glob Environ Change (Human Policy Dimens) 2007; 17: 59–72.
71 Hulme, M. Why We Disagree About Climate Change: Understanding Controversy, Inaction and Opportunity. Cambridge, UK: Cambridge University Press
72 Johnston, PA, Archer, ERM, Vogel, CH, Bezuidenhout, CN, Tennant, WJ, Kuschke, R. Review of seasonal forecasting in South Africa: producer to end‐user. Clim Research 2004; 28: 67–82.
73 Lempert, R, Nakicenovic, N, Sarewitz, D, Schlesinger, M. Characterizing climate‐change uncertainties for decision‐makers—an editorial essay. Clim Change 2004; 65: 1–9.
74 Nelson, DR. The Public and Private Sides of Persistent Vulnerability to Drought: An Applied Model for Public Planning in Ceará, Brazil. Unpublished PhD Dissertation, Department of Anthropology, University of Arizona, Tucson, AZ; 2005.
75 Pielke, R Jr. The Honest Broker: Making Sense of Science in Policy and Politics. Cambridge, UK: Cambridge University Press
76 Vogel, C, Moser, SC, Kasperson, RE, Dabelko, GD. Linking vulnerability, adaptation, and resilience science to practice: pathways, players, and partnerships. Glob Environ Change (Human Policy Dimens) 2007; 17: 349–364.