This research has been sponsored in part by the Office of Naval Research, Marine Meteorology Program. The authors acknowledge valuable comments from Prof. R. Elsberry, Prof. C. Wash, Prof. K. Wall, and the anonymous reviewers.
Adams, C. R., and Berri D. J. , cited. 2004: The economic cost of hurricane evacuations, 1999. First U.S. Weather Research Program Science Symposium. [Available online at http://box/mmm.ucar.edu/uswrp/abstracts/Adams_Christopher.html.].
Adams, R. M., Bryant K. J. , McCarl B. A. , Legler D. M. , O’Brien J. J. , Solow A. , and Weiher R. , 1995: Value of improved long-range weather information. Contemp. Econ. Policy, 13 , 10–19.
Brown, B. G., Katz R. W. , and Murphy A. H. , 1986: On the economic value of seasonal precipitation forecasts: The fallowing/planting problem. Bull. Amer. Meteor. Soc., 67 , 833–841.
Carr L. E. III, , Elsberry R. L. , and Peak J. E. , 2001: Beta test of the systematic approach expert system prototype as a tropical cyclone track forecasting aid. Wea. Forecasting, 16 , 355–368.
Considine, T. J., Jablonowski C. , Posner B. , and Bishop C. H. , 2004: The value of hurricane forecasts to oil and gas producers in the Gulf of Mexico. J. Appl. Meteor., 43 , 1270–1281.
Crutcher, H. L., Neumann C. J. , and Pelissier J. M. , 1982: Tropical cyclone forecast errors and the multimodal bivariate normal distribution. J. Appl. Meteor., 21 , 978–987.
Dow, K., and Cutter S. , 1998: Crying wolf: Repeat responses to hurricane evacuation orders. Coastal Manage., 26 , 237–252.
Epstein, E. S., and Murphy A. H. , 1988: Use and value of multiple-period forecasts in a dynamic model of the cost–loss ratio situation. Mon. Wea. Rev., 116 , 746–761.
Goerss, J. S., 2000: Tropical cyclone track forecasts using an ensemble of dynamical models. Mon. Wea. Rev., 128 , 1187–1193.
Gross, J. M., DeMaria M. , Knaff J. A. , and Sampson C. R. , 2004: A new method for determining tropical cyclone wind forecast probabilities. Preprints, 26th Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 425–426.
Jarrell, J., and Brand S. , 1983: Tropical cyclone strike and wind probability applications. Bull. Amer. Meteor. Soc., 64 , 1050–1056.
Jarrell, J., and DeMaria M. , 1999: An examination of strategies to reduce the size of hurricane warning areas. Preprints, 23d Conf. on Hurricanes and Tropical Meteorology, Dallas, TX, Amer. Meteor. Soc., 50–52.
Jarrell, J., Mayfield M. , Rappaport E. N. , and Landsea C. W. , 2001: The deadliest, costliest, and most intense United States hurricanes from 1900 to 2000. NOAA Tech. Memo. NWS TPC-1. [Available online at http://www.aoml.noaa.gov/hrd/Landsea/deadly/index.html.].
Jarvinen, B. R., Neumann C. J. , and Davis M. A. S. , 1984: A tropical cyclone data tape for the North Atlantic: Contents, limitations, and uses. NOAA Tech. Memo. NWS NHC 22, 21 pp.
Katz, R. W., 1993: Dynamic cost–loss ratio decision-making model with an autocorrelated climate variable. J. Climate, 6 , 151–160.
Katz, R. W., and Murphy A. H. , 1990: Quality/value relationships for imperfect weather forecasts in a prototype multistage decision-making model. J. Forecasting, 9 , 75–86.
Katz, R. W., Murphy A. H. , and Winkler R. L. , 1982: Assessing the value of frost forecasts to orchardists: A dynamic decision-making approach. J. Appl. Meteor., 21 , 518–531.
Katz, R. W., Brown B. G. , and Murphy A. H. , 1987: Decision-analytic assessment of the economic value of weather forecasts: The fallowing/planting problem. J. Forecasting, 6 , 77–89.
McAdie, C. J., and Lawrence M. B. , 2000: Improvements in tropical cyclone track forecasting in the Atlantic basin, 1970–98. Bull. Amer. Meteor. Soc., 81 , 989–997.
Mjelde, J. W., and Dixon B. L. , 1993: Valuing the lead time of periodic forecasts in dynamic production systems. Agric. Syst., 42 , 41–55.
Murphy, A. H., and Katz R. W. , 1985: Probability, Statistics, and Decision Making in the Atmospheric Sciences. Westview Press, 545 pp.
Murphy, A. H., and Ye Q. , 1990: Optimal decision making and the value of information in a time-dependent version of the cost-loss ratio situation. Mon. Wea. Rev., 118 , 939–949.
Powell, M. D., and Aberson S. D. , 2001: Accuracy of United States tropical cyclone landfall forecasts in the Atlantic basin (1976–2000). Bull. Amer. Meteor. Soc., 82 , 2749–2767.
Roulston, M. S., and Smith L. A. , 2004: The boy who cried wolf revisited: The impact of false alarm intolerance on cost–loss scenarios. Wea. Forecasting, 19 , 391–397.
Sheets, R. C., 1985: The National Weather Service hurricane probability program. Bull. Amer. Meteor. Soc., 66 , 4–13.
Stedge, G. D., 2000: Arsenic in drinking water rule economic analysis. EPA 815-R-00-026, Environmental Protection Agency, 257 pp.
Stewart, T. R., Katz R. W. , and Murphy A. H. , 1984: Value of weather information: A descriptive study of the fruit-frost problem. Bull. Amer. Meteor. Soc., 65 , 126–137.
Viscusi, W. K., and Aldy J. E. , 2003: The value of a statistical life: A critical review of market estimates throughout the world. J. Risk Uncertainty, 27 , 5–76.
Whitehead, J. C., 2003: One million dollars per mile? The opportunity costs of hurricane evacuation. Ocean Coastal Manage., 46 , 1069–1083.
Wilks, D. S., 1991: Representing serial correlation of meteorological events and forecasts in dynamic decision-analytic models. Mon. Wea. Rev., 119 , 1640–1662.
Wilks, D. S., and Hamill T. M. , 1995: Potential economic value of ensemble-based surface weather forecasts. Mon. Wea. Rev., 123 , 3555–3575.