Assimilation of Wave Imaging Radar Observations for Real-Time Wave-by-Wave Forecasting

Alexandra Joyce Simpson1, Merrick C Haller1, David T Walker2, Patrick J Lynett3, Randall Pittman1 and David Honegger4, (1)Oregon State University, Corvallis, OR, United States, (2)SRI International, Ann Arbor, MI, United States, (3)University of Southern California, Los Angeles, CA, United States, (4)Oregon State University, School of Civil and Construction Engineering, Corvallis, OR, United States
Abstract:
It has been shown in various studies that a controls system can dramatically improve Wave Energy Converter (WEC) power production by tuning the device’s oscillations to the incoming wave field, as well as protect WEC devices by decoupling them in extreme wave conditions. A requirement of the most efficient controls systems is a phase-resolved, “deterministic” surface elevation profile, alerting the device to what it will experience in the near future. The current study aims to demonstrate a deterministic method of wave forecasting through the pairing of an X-Band marine radar with a predictive Mild Slope Equation (MSE) wave model. Using the radar as a remote sensing technique, the wave field up to 1-4 km surrounding a WEC device can be resolved. Individual waves within the radar scan are imaged through the contrast between high intensity wave faces and low intensity wave troughs. Using a recently developed method, radar images are inverted into the radial component of surface slope, shown in the figure provided using radar data from Newport, Oregon. Then, resolved radial slope images are assimilated into the MSE wave model. This leads to a best-fit model hindcast of the waves within the domain. The hindcast is utilized as an initial condition for wave-by-wave forecasting with a target forecast horizon of 3-5 minutes (tens of wave periods). The methodology is currently being tested with synthetic data and comparisons with field data are imminent.