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How emergency managers (mis?)interpret forecasts

dc.contributor.authorWernstedt, Kris
dc.contributor.authorRoberts, Patrick S.
dc.contributor.authorArvai, Joseph
dc.contributor.authorRedmond, Kelly
dc.date.accessioned2019-01-15T20:24:20Z
dc.date.available2020-03-03T21:29:35Zen
dc.date.issued2019-01
dc.identifier.citationWernstedt, Kris; Roberts, Patrick S.; Arvai, Joseph; Redmond, Kelly (2019). "How emergency managers (mis?)interpret forecasts." Disasters 43(1): 88-109.
dc.identifier.issn0361-3666
dc.identifier.issn1467-7717
dc.identifier.urihttps://hdl.handle.net/2027.42/146849
dc.publisherWiley
dc.subject.otheruncertainty
dc.subject.othercognitive
dc.subject.otherdecision‐making
dc.subject.otheremergency management
dc.subject.otherrisk
dc.titleHow emergency managers (mis?)interpret forecasts
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelEconomics
dc.subject.hlbtoplevelBusiness and Economics
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146849/1/disa12293.pdf
dc.identifier.doi10.1111/disa.12293
dc.identifier.sourceDisasters
dc.identifier.citedreferencePeerbolte, S.L. and M.L. Collins ( 2013 ) ‘ Disaster management and the critical thinking skills of local emergency managers: correlations with age, gender, education, and years in occupation ’. Disasters. 37 ( 1 ). pp. 48 – 60.
dc.identifier.citedreferencePeters, E. et al. ( 2006 ) ‘ Numeracy and decision making ’. Psychological Science. 17 ( 5 ). pp. 407 – 413.
dc.identifier.citedreferencePielke, R.A., Jr. and C.N. Landsea ( 1999 ) ‘ La Niña, El Niño, and Atlantic hurricane damages in the United States ’. Bulletin of the American Meteorological Society. 80 ( 10 ). pp. 2027 – 2034.
dc.identifier.citedreferencePielke, R.A., Jr. and R.A. Pielke, Sr. ( 1997 ) ‘ Vulnerability to hurricanes along the U.S. Atlantic and Gulf coasts: considerations of the use of long‐term forecasts ’. In H.F. Diaz and R.S. Pulwarty (eds.) Hurricanes: Climate and Socioeconomic Impacts. Springer‐Verlag, Berlin. pp. 147 – 184.
dc.identifier.citedreferencePulwarty, R.S. and T.S. Melis ( 2001 ) ‘ Climate extremes and adaptive management on the Colorado River: lessons from the 1997–1998 ENSO event ’. Journal of Environmental Management. 63 ( 3 ). pp. 307 – 324.
dc.identifier.citedreferenceReyna, V.F. and C.J. Brainerd ( 2008 ) ‘ Numeracy, ratio bias, and denominator neglect in judgments of risk and probability ’. Learning and Individual Differences. 18 ( 1 ). pp. 89 – 107.
dc.identifier.citedreferenceRoberts, P.S. ( 2013 ) Disasters and the American State: How Politicians, Bureaucrats, and the Public Prepare for the Unexpected. Cambridge University Press, New York, NY.
dc.identifier.citedreferenceRoberts, P.S. and K. Wernstedt ( 2016 ) ‘ Using climate forecasts across a state’s emergency management network ’. Natural Hazards Review. 17 ( 3 ). https://ascelibrary.org/doi/full/10.1061/%28ASCE%29NH.1527-6996.0000222 (last accessed on 24 April 2018).
dc.identifier.citedreferenceScoggins, J.R. and W.W. Vaughan ( 1971 ) ‘ How some nonmeteorological professionals view meteorology and weather forecasting ’. Bulletin of the American Meteorological Society. 52 ( 10 ). pp. 974 – 980.
dc.identifier.citedreferenceSilver, A. ( 2015 ) ‘ Watch or warning? Perceptions, preferences, and usage of forecast information by members of the Canadian public ’. Meteorological Applications. 22 ( 2 ). pp. 248 – 255.
dc.identifier.citedreferenceSink, S.A. ( 1995 ) ‘ Determining the public’s understanding of precipitation forecasts: results of a survey ’. National Weather Digest. 19. pp. 9 – 15.
dc.identifier.citedreferenceSlovic, P., J. Monahan, and D.G. MacGregor ( 2000 ) ‘ Violence risk assessment and risk communication: the effects of using actual cases, providing instruction, and employing probability versus frequency formats ’. Law and Human Behavior. 24 ( 3 ). pp. 271 – 296.
dc.identifier.citedreferenceSorensen, J.H. and D.S. Mileti ( 1987 ) ‘ Decision‐making uncertainties in emergency warning system organizations ’. International Journal of Mass Emergencies and Disasters. 5 ( 1 ). pp. 33 – 61.
dc.identifier.citedreferenceStewart, T.R., P.J. Roebber, and L.F. Bosart ( 1997 ) ‘ The importance of the task in analyzing expert judgment ’. Organizational Behavior and Human Decision Processes. 69 ( 3 ). pp. 205 – 219.
dc.identifier.citedreferenceStokoe, R.M. ( 2016 ) ‘ Putting people at the centre of tornado warnings: how perception analysis can cut fatalities ’. International Journal of Disaster Risk Reduction. 17. pp. 137 – 153.
dc.identifier.citedreferenceUnited States Office of Management and Budget ( 2010 ) Federal Register. 75 ( 123 ). 28 June. https://www.gpo.gov/fdsys/pkg/FR-2010-06-28/pdf/2010-15605.pdf (last accessed on 4 May 2018).
dc.identifier.citedreferenceWeaver, J. et al. ( 2013 ) ‘ An overview of a demographic study of United States emergency managers ’. Bulletin of the American Meteorological Society. 95 ( 2 ). pp. 199 – 203.
dc.identifier.citedreferenceWerner, K., K. Averyt, and G. Owen ( 2013 ) ‘ River forecast application for water management: oil and water? ’. Weather, Climate, and Society. 5 ( 3 ). pp. 244 – 253.
dc.identifier.citedreferenceWernstedt, K. and R. Hersh ( 2002 ) ‘ Climate forecasts in flood planning: promise and ambiguity ’. Journal of the American Water Resources Association. 38 ( 6 ). pp. 1703 – 1714.
dc.identifier.citedreferenceWernstedt, K. and R. Hersh ( 2004 ) ‘ Climate forecasts and flood planning under the reign of ENSO ’. Natural Hazards Review. 5 ( 2 ). pp. 97 – 105.
dc.identifier.citedreferenceZabini, F., V. Grasso, R. Magno, F. Meneguzzo, and B. Gozzini ( 2015 ) ‘ Communication and interpretation of regional weather forecasts: a survey of the Italian public ’. Meteorological Applications. 22 ( 3 ). pp. 495 – 504.
dc.identifier.citedreferenceAdams, C.R. and J.H. Golden ( 2000 ) ‘ The tornado problem: forecast, warning, and response ’. Natural Hazards Review. 1 ( 2 ). pp. 107 – 118.
dc.identifier.citedreferenceArvai, J. and R. Gregory ( 2003 ) ‘ Testing alternative decision approaches for identifying cleanup priorities at contaminated sites ’. Environmental Science and Technology. 37 ( 8 ). pp. 1469 – 1476.
dc.identifier.citedreferenceBarnston, A.G. et al. ( 1994 ) ‘ Long‐lead seasonal forecasts—where do we stand? ’. Bulletin of the American Meteorological Society. 75 ( 11 ). pp. 2097 – 2114.
dc.identifier.citedreferenceChangnon, S.A. ( 1999 ) ‘ Impacts of 1997–98 El Niño‐generated weather in the United States ’. Bulletin of the American Meteorological Society. 80 ( 9 ). pp. 1819 – 1828.
dc.identifier.citedreferenceCoventry, W.L. and L.I. Dalgleish ( 2015 ) ‘ Differences between the single‐event and frequency formats of seasonal‐climate‐forecast probability ’. International Journal of Climatology. 35 ( 3 ). pp. 444 – 451.
dc.identifier.citedreferenceDemeritt, D. and S. Nobert ( 2014 ) ‘ Models of best practice in flood risk communication and management ’. Environmental Hazards. 13 ( 4 ). pp. 313 – 328.
dc.identifier.citedreferenceDemeritt, D. et al. ( 2007 ) ‘ Ensemble predictions and perceptions of risk, uncertainty, and error in flood forecasting ’. Environmental Hazards. 7 ( 2 ). pp. 115 – 127.
dc.identifier.citedreferenceDemeritt, D., S. Nobert, H.L. Cloke, and F. Pappenberger ( 2013 ) ‘ The European flood alert system and the communication, perception, and use of ensemble predictions for operational flood risk management ’. Hydrological Processes. 27 ( 1 ). pp. 147 – 157.
dc.identifier.citedreferenceDonner, W.R. ( 2008 ) ‘ Decision making as community adaptation: a case study of emergency managers in Oklahoma ’. Disasters. 32 ( 2 ). pp. 292 – 302.
dc.identifier.citedreferenceDutton, J.A. ( 2002 ) ‘ Opportunities and priorities in a new era for weather and climate services ’. Bulletin of the American Meteorological Society. 83 ( 9 ). pp. 1303 – 1311.
dc.identifier.citedreferenceFrick, J. and C. Hegg ( 2011 ) ‘ Can end‐users’ flood management decision making be improved by information about forecast uncertainty? ’. Atmospheric Research. 100 ( 2 ), pp. 296 – 303.
dc.identifier.citedreferenceGigerenzer, G. ( 1994 ) ‘ Why the distinction between single‐event probabilities and frequencies is important for psychology (and vice versa) ’. In G. Wright and P. Ayton (eds.) Subjective Probability. Wiley, New York, NY. pp. 129 – 161.
dc.identifier.citedreferenceGigerenzer, G. et al. ( 2005 ) ‘ A 30% chance of rain tomorrow: how does the public understand probabilistic weather forecasts? ’. Risk Analysis. 25 ( 3 ). pp. 623 – 629.
dc.identifier.citedreferenceGigerenzer, G. and U. Hoffrage ( 1995 ) ‘ How to improve Bayesian reasoning without instruction: frequency formats ’. Psychological Review. 102 ( 4 ). pp. 684 – 704.
dc.identifier.citedreferenceGregory, R. et al. ( 2012 ) Structured Decision Making: A Practical Guide to Environmental Management Choices. Wiley–Blackwell, Hoboken, NJ.
dc.identifier.citedreferenceGregory, R. and G. Long ( 2009 ) ‘ Using structured decision making to help implement a precautionary approach to endangered species management ’. Risk Analysis. 29 ( 4 ). pp. 518 – 532.
dc.identifier.citedreferenceHapuarachchi, H.A.P., Q.J. Wang, and T.C. Pagano ( 2011 ) ‘ A review of advances in flash flood forecasting ’. Hydrological Processes. 25 ( 18 ). pp. 2771 – 2784.
dc.identifier.citedreferenceHartmann, H.C., T.C. Pagano, S. Sorooshian, and R. Bales ( 2002 ) ‘ Confidence builders: evaluating seasonal climate forecasts from user perspectives ’. Bulletin of the American Meteorological Society. 83 ( 5 ). pp. 683 – 698.
dc.identifier.citedreferenceHoetmer, G.J. ( 1991 ) ‘ Introduction ’. In T.E. Drabek and G.J. Hoetmer (eds.) Emergency Management: Principles and Practice for Local Government. International City Management Association, Washington, DC. pp. xvii – xxxiv.
dc.identifier.citedreferenceHoss, F. and P. Fischbeck ( 2015 ) ‘ Increasing the value of uncertain weather and river forecasts for emergency managers ’. Bulletin of the American Meteorological Society. 97 ( 1 ). pp. 85 – 97.
dc.identifier.citedreferenceHotchkiss, H.L., B.E. Aguirre, and E. Best ( 2013 ) ‘ A critique of the official report on the evacuation of the World Trade Center: continued doubts ’. Disasters. 37 ( 4 ). pp. 695 – 704.
dc.identifier.citedreferenceJensen, J. and G. Youngs ( 2015 ) ‘ Explaining implementation behaviour of the national incident management system (NIMS) ’. Disasters. 39 ( 2 ). pp. 362 – 388.
dc.identifier.citedreferenceJoslyn, S. and J. LeClerc ( 2013 ) ‘ Decisions with uncertainty: the glass half full ’. Current Directions in Psychological Science. 22 ( 4 ). pp. 308 – 315.
dc.identifier.citedreferenceJoslyn, S.L. and J.E. LeClerc ( 2012 ) ‘ Uncertainty forecasts improve weather‐related decisions and attenuate the effects of forecast error ’. Journal of Experimental Psychology–Applied. 18 ( 1 ). pp. 126 – 140.
dc.identifier.citedreferenceJoslyn, S.L. and R.M. Nichols ( 2009 ) ‘ Probability or frequency? Expressing forecast uncertainty in public weather forecasts ’. Meteorological Applications. 16 ( 3 ). pp. 309 – 314.
dc.identifier.citedreferenceJoslyn, S. and S. Savelli ( 2010 ) ‘ Communicating forecast uncertainty: public perception of weather forecast uncertainty ’. Meteorological Applications. 17 ( 2 ). pp. 180 – 195.
dc.identifier.citedreferenceJoslyn, S., L. Nadav‐Greenberg, and R.M. Nichols ( 2009 ) ‘ Probability of precipitation: assessment and enhancement of end‐user understanding ’. Bulletin of the American Meteorological Society. 90 ( 2 ). pp. 185 – 193.
dc.identifier.citedreferenceJoslyn, S., S. Savelli, and L. Nadav‐Greenberg ( 2011 ) ‘ Reducing probabilistic weather forecasts to the worst‐case scenario: anchoring effects ’. Journal of Experimental Psychology: Applied. 17 ( 4 ). pp. 342 – 353.
dc.identifier.citedreferenceKahneman, D. and A. Tversky ( 1979 ) ‘ Prospect theory: an analysis of decision under risk ’. Econometrica. 47 ( 2 ). pp. 263 – 291.
dc.identifier.citedreferenceKlein, G.A., J.M. Orasanu, and R. Calderwood ( 1993 ) Decision Making in Action: Models and Methods. Ablex, Norwood, NJ.
dc.identifier.citedreferenceKox, T., L. Gerhold, and U. Ulbrich ( 2015 ) ‘ Perception and use of uncertainty in severe weather warnings by emergency services in Germany ’. Atmospheric Research. 158–159 (May). pp. 292 – 301.
dc.identifier.citedreferenceLazo, J.K., A. Bostrom, R.E. Morss, J.L. Demuth, and H. Lazrus ( 2015 ) ‘ Factors affecting hurricane evacuation intentions ’. Risk Analysis. 35 ( 10 ). pp. 1837 – 1857.
dc.identifier.citedreferenceLazo, J.K., R.E. Morss, and J.L. Demuth ( 2009 ) ‘ 300 billion served: sources, perceptions, uses, and values of weather forecasts ’. Bulletin of the American Meteorological Society. 90 ( 6 ). pp. 785 – 798.
dc.identifier.citedreferenceLeClerc, J. ( 2014 ) Communicating Weather and Climate Uncertainty: Exploratory Research in Cognitive Psychology. PhD dissertation. https://digital.lib.washington.edu/researchworks/bitstream/handle/1773/26360/LeClerc_washington_0250E_13285.pdf?sequence=1&isAllowed=y (last accessed on 24 April 2018).
dc.identifier.citedreferenceLeClerc, J. and S. Joslyn ( 2015 ) ‘ The cry wolf effect and weather‐related decision making ’. Risk Analysis. 35 ( 3 ). pp. 385 – 395.
dc.identifier.citedreferenceLin, L., C. Rivera, M. Abrahamsson, and H. Tehler ( 2017 ) ‘ Communicating risk in disaster risk management systems—experimental evidence of the perceived usefulness of risk descriptions ’. Journal of Risk Research. 20 ( 12 ). pp. 1534 – 1553.
dc.identifier.citedreferenceLivezey, R.E. and M.M. Timofeyeva ( 2008 ) ‘ The first decade of long‐lead U.S. seasonal forecasts: insights from a skill analysis ’. Bulletin of the American Meteorological Society. 89 ( 6 ). pp. 843 – 885.
dc.identifier.citedreferenceMarincioni, F. ( 2007 ) ‘ Information technologies and the sharing of disaster knowledge: the critical role of professional culture ’. Disasters. 31 ( 4 ). pp. 459 – 476.
dc.identifier.citedreferenceMatyas, D. and M. Pelling ( 2015 ) ‘ Positioning resilience for 2015: the role of resistance, incremental adjustment and transformation in disaster risk management policy ’. Disasters. 39 ( S1 ). pp. S1 – S18.
dc.identifier.citedreferenceMiller, C.H., B.J. Adame, and S.D. Moore ( 2013 ) ‘ Vested interest theory and disaster preparedness ’. Disasters. 37 ( 1 ). pp. 1 – 27.
dc.identifier.citedreferenceMillner, A. and R. Washington ( 2011 ) ‘ What determines perceived value of seasonal climate forecasts? A theoretical analysis ’. Global Environmental Change. 21 ( 1 ). pp. 209 – 218.
dc.identifier.citedreferenceMorss, R.E., J.L. Demuth, and J.K. Lazo ( 2008 ) ‘ Communicating uncertainty in weather forecasts: a survey of the US public ’. Weather and Forecasting. 23 ( 5 ), pp. 974 – 991.
dc.identifier.citedreferenceMorss, R.E., J.L. Demuth, A. Bostrom, J.K. Lazo, and H. Lazrus ( 2015 ) ‘ Flash flood risks and warning decisions: a mental models study of forecasters, public officials, and media broadcasters in Boulder, Colorado ’. Risk Analysis. 35 ( 11 ). pp. 2009 – 2028.
dc.identifier.citedreferenceMorss, R.E. and J.L. Demuth ( 2016 ) ‘ Understanding public hurricane evacuation decisions and responses to forecast and warning messages ’. Weather and Forecasting. 31 ( 2 ). pp. 395 – 417.
dc.identifier.citedreferenceMurphy, A.H. and R. Winkler ( 1977 ) ‘ Can weather forecasters formulate reliable forecasts of precipitation and temperature? ’. National Weather Digest. 2. pp. 2 – 9.
dc.identifier.citedreferenceMurphy, A.H., S. Lichtenstein, B. Fischhoff, and R.L. Winkler ( 1980 ) ‘ Misinterpretations of precipitation probability forecasts ’. Bulletin of the American Meteorological Society. 61 ( 7 ). pp. 695 – 701.
dc.identifier.citedreferenceNewson, R. ( 2002 ) ‘ Parameters behind “nonparametric” statistics: Kendall’ tau, Somers’ D and median differences ’. Stata Journal. 2 ( 1 ). pp. 45 – 64.
dc.identifier.citedreferenceNicholls, N. ( 1999 ) ‘ Cognitive illusions, heuristics, and climate prediction ’. Bulletin of the American Meteorological Society. 80 ( 7 ). pp. 1385 – 1397.
dc.identifier.citedreferenceNovak, D.R. et al. ( 2014 ) ‘ Precipitation and temperature forecast performance at the Weather Prediction Center ’. Weather and Forecasting. 29 ( 3 ). pp. 489 – 504.
dc.identifier.citedreferenceO’Lenic, E.A., D.A. Unger, M.S. Halpert, and K.S. Pelman ( 2008 ) ‘ Developments in operational long‐range climate prediction at CPC ’. Weather Forecasting. 23 ( 3 ). pp. 496 – 515.
dc.identifier.citedreferencePagano, T.C. et al. ( 2014 ) ‘ Challenges of operational river forecasting ’. Journal of Hydrometeorology. 15 ( 4 ). pp. 1692 – 1707.
dc.identifier.citedreferencePappenberger, F. et al. ( 2013 ) ‘ Visualizing probabilistic flood forecast information: expert preferences and perceptions of best practice in uncertainty communication ’. Hydrological Processes. 27 ( 1 ). pp. 132 – 146.
dc.identifier.citedreferencePatt, A. and C. Gwata ( 2002 ) ‘ Effective seasonal climate forecast applications: examining constraints for subsistence farmers in Zimbabwe ’. Global Environmental Change. 12 ( 3 ). pp. 185 – 195.
dc.identifier.citedreferencePatt, A., P. Suarez, and C. Gwata ( 2005 ) ‘ Effects of seasonal climate forecasts and participatory workshops among subsistence farmers in Zimbabwe ’. Proceedings of the National Academy of Sciences of the United States of America. 102 ( 35 ). pp. 12623 – 12628.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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