- H23C-04: Quantifying the Local and Economic Value of Hydrometeorological Forecasts in Support of Forecast-Informed Reservoir Operations (FIRO)
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NOLA CC
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Denali Pinto, Scripps Institution of Oceanography (First Author, Presenting Author)
Thomas Corringham, University of California San Diego
F Ralph, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego
Sarah Ogle, Carleton College
Cary Talbot, US Army Corps of Engineers, Engineer Research and Development Center
Elissa Yeates, US Army Corps of Engineers, Coastal and Hydraulics Laboratory
Donald Nelson, University of Georgia
Marshall Shepherd, The University of Georgia
Reservoirs store water for dry periods and help protect communities from floods. The decision to release or hold water requires an understanding of how much rain or runoff is coming. Forecast-Informed Reservoir Operations (FIRO) uses improved weather and water forecasts to provide additional flexibility to reservoir managers in making such decisions.In this study, we examine how better forecasts can reduce flood risk and improve water availability. We use maps of flood-prone areas and property locations to identify which homes and buildings could be affected by flooding downstream of major reservoirs. We then estimate how forecasts could reduce the amount of damage these floods might cause.
We also consider how improved forecasts could help store more water during dry years, providing additional value during droughts. Our analysis helps answer practical questions, such as: What's the economic value of an additional day of lead time?
By connecting weather forecasts to real-world outcomes, like fewer flooded homes and more reliable water supplies, this study shows how forecasts can help communities become safer and more resilient in both wet and dry times.
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