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Freezing Level Forecast Error Can Consume Reservoir Flood Control Storage: Potentials for Lake Oroville and New Bullards Bar Reservoirs in California

Edwin Sumargo, Forest Cannon, F. Martin Ralph, Brian Henn

2020Water Resources Research17 citationsDOI

Abstract

Abstract The atmospheric freezing level ( Z FL ) determines the rain‐snow transition zone at the surface, how much rainfall is available for runoff, and the flood risk during a precipitation event. An accurate Z FL forecast is thus critical for reservoir operation, especially in mountain watersheds with narrow elevation bands like the Feather and North Fork Yuba in California, where a 500‐m elevation gain can amount to >50% of the watershed area. Using a ±350‐m Z FL forecast error, we find inflow volume uncertainties of <10% to >50% of the flood pool storages at Lake Oroville and New Bullards Bar reservoirs, depending on the Z FL , antecedent moisture condition, and the precipitation event magnitude. The uncertainties can increase by up to >3% per inch (25.4 mm) of precipitation, depending on the Z FL and antecedent moisture condition. This result substantiates the significant impact of Z FL forecast error and the critical need of Z FL forecast accuracy to support reservoir flood control operations in the two watersheds.

Topics & Concepts

Antecedent moistureEnvironmental sciencePrecipitationHydrology (agriculture)Flood controlSurface runoffInflowFlood mythWatershedMoistureSnowMeteorologyRunoff curve numberGeologyGeographyComputer scienceGeotechnical engineeringEcologyMachine learningArchaeologyBiologyMeteorological Phenomena and SimulationsHydrology and Watershed Management StudiesPrecipitation Measurement and Analysis
Freezing Level Forecast Error Can Consume Reservoir Flood Control Storage: Potentials for Lake Oroville and New Bullards Bar Reservoirs in California | Litcius