Use of seasonal climate forecasts in rangeland-based livestock operations in West Texas

The potential for west Texas ranchers to increase the profitability of their enterprises by becoming more proactive in their management practices by using seasonal climate forecasts is investigated using a focus group and ecological–economic modeling.

The Value of ENSO Information to Agriculture: Consideration of Event Strength and Trade

The agricultural value of El Nifio-Southern Oscillation (ENSO) phase knowledge is measured in a value-of-information framework using economic models.The authors examine the value of considering the full distribution of ENSO phase strength effects as opposed to average ENSO phase strength effects, as well as the implications of considering ENSO impacts on the rest of the world (ROW).

The Value of Improved ENSO Prediction to U.S. Agriculture

The economic value of long-range weather prediction is measured by the increase in social welfare arising from the use of the prediction in economic decisionmaking. This paper describes a study of the economic value of ENSO prediction to U.S. agriculture. The study involved the analysis of data and models from meteorology, plant science, and economics under a framework based on Bayesian decision analysis.

Dynamic aspects of the impact of the use of perfect climate forecasts in the Corn Belt region

A general equilibrium model is linked to a decision model to determine the impact of perfect growing season forecasts for corn produced in the Corn Belt region over a 10-yr period. Five different timing scenarios are examined to determine the effect of different orderings in the occurrence of good and bad crop years over this period. The use of the climate forecasts is shown to have both positive and negative financial and economic effects depending on the specific year within any given scenario.

Valuing Information When Risk Preferences Are Nonneutral: An Application to Irrigation Scheduling

A method for valuing information when risk attitudes are nonneutral is presented. The procedure uses simulation and generalized stochastic dominance to value information by level of risk aversion. The value of soil water and weather information to irrigators is quantified to illustrate the procedure.

300 Billion Served: Sources, Perceptions, Uses, and Values of Weather Forecasts.

Understanding the public's sources, perceptions, uses, and values of weather forecasts. The authors conducted a nationwide survey with more than 1,500 respondents to assess 1) where, when, and how often they obtain weather forecasts; 2) how they perceive forecasts; 3) how they use forecasts; and 4) the value they place on current forecast information.

Cost Benefits of Weather Information for Winter Road Maintenance

This purpose of this research project is to provide a current benefit-cost assessment for weather information in winter maintenance.

The potential role for cloud-scale numerical weather prediction for terminal area planning and scheduling

A number of operations in the aviation industry, particularly in the terminal area, are weather-sensitive to local conditions in the short-term (3 to 18 hours). The article describes which impacts the inclustion of weather prediction in terminal area planning could have.

Benefit/Cost Study of RWIS and Anti-Icing Technologies

This report describes anti- icing and road weather information systems (RWIS) research, implementation efforts by highway agencies, and summarizes the current practice of anti-icing technology. The benefits and costs of anti-icing and RWIS, as reported in the literature and supplemented with information provided in interviews of highway professionals are outlined. Conclusions and recommendations regarding antiicing and RWIS use are also

Optimal use and economic value of weather forecasts for lettuce irrigation in a humid climate.

The problem of analyzing a sequence of daily irrigation decisions utilizing weather forecast information is formulated for the case of lettuce grown in central New York state, and solved using a stochastic dynamic programming algorithm.