Measurement and modeling of effects of differential wind stress due to topography and wind sheltering elements on hydrodynamics of augmented lakes and reservoirs

Project ID: 21023
Principal Investigator: Meghan Thiemann
Research Topic: Water Supply Forecasting
Funded Fiscal Years: 2021, 2022 and 2023
Keywords: None

Research Question

This project intends to develop and test a protocol for long-term measurement and modeling of complex wind fields and water movement in augmented reservoirs using a dense network of meteorological stations, a 3D Computational Fluid Dynamics (CFD) wind model, two Acoustic Doppler Profilers (ADPs), and a 3D computational hydrodynamic model. Incorporating effects of spatially varying winds would improve accuracy of efforts to generate frequency distributions of travel time and attenuation needed for IPR-SWA projects. This will improve the body of information for planning as well as resiliency of drought-impacted water supplies. Lake Arrowhead, CA will be used as a case study to develop a varying wind field protocol for application to steep terrain reservoirs.

Need and Benefit

Incorporation of a field-validated gridded wind-field model will improve accuracy of hydrodynamic models developed to predict water movement. This project will develop a protocol to create gridded wind fields for the case study reservoir, Lake Arrowhead, and incorporate it in the S&T 7100 hydrodynamic model, then undertake the first steps to generalize this approach so that improved predictions of water movement could be applied to Reclamation and stakeholder reservoirs.

Contributing Partners

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Research Products

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Last Updated: 6/22/20