Summaries - Office of Research & Innovation
Back Frameworks for Integration of Atmospheric-Oceanic Science and Forecasting with Operational Decision-Making
|Division||Graduate School of Business & Public Policy|
|Department||Defense Resources Management Institute|
|Investigator(s)||Regnier, Eva D.|
|Sponsor||National Science Foundation (NSF)|
Weather forecasts save lives and provide economic value, but only because people make decisions to respond to the forecasts. Yet the infrastructures for generating forecasts are largely isolated from the infrastructures for responding to those forecasts.
The infrastructures for generating forecasts include weather observation, modeling, and forecast preparation systems, including automated and human forecasting. The infrastructures for using forecasts to mitigate risk and capture economic value include systems for acquiring, storing, analyzing forecast data, and operational models and decision-making processes that use these data, which range from optimization models to decision support systems to judgmental decision-making.
The proposed workshop will bring together atmospheric scientists, operations analysts/decision scientists, operational experts, and information scientists to outline frameworks for end-to-end cooperation and integration of the relevant systems to improve society's ability to reduce risks and extract economic value using weather forecasts.
The primary goals of the proposed workshop are:
- To identify key resource, research, and development requirements for the integration of the relevant infrastructures;
- To identify commonalities and differences in methodologies, language, goals, and constraints of each discipline, increasing the awareness and understanding across disciplinary boundaries;
- To initiate collaborative relationships and create a community of researchers and operational users that can respond to the defined need and future needs that may arise due to natural disasters and/or changes in the atmospheric regime;
- To outline an agenda for moving forward to extract the maximum potential value from current and future weather forecast products to reduce risk to life and health, reduce economic damage of severe weather, and extract value from operational planning for weather.
|Publications||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|