Influences of tidal and slower (subtidal) oceanic flows over the continental shelf and slope off Oregon are studied using a high-resolution ocean circulation model and comparative model-data analyses. The model is based on the Regional Ocean Modeling System (ROMS), a fully nonlinear, three-dimensional model (using hydrostatic and Boussinesq approximations). The...
A 1-km-horizontal-resolution model based on the Regional Ocean Modeling System is implemented along the Oregon coast to study average characteristics and intermittency of the M₂ internal tide during summer upwelling. Wind-driven and tidally driven flows are simulated in combination, using realistic bathymetry, atmospheric forcing, and boundary conditions. The study period...
Internal tides on the continental shelf can be intermittent as a result of changing hydrographic conditions
associated with wind-driven upwelling. In turn, the internal tide can affect transports associated with upwelling.
To study these processes, simulations in an idealized, alongshore uniform setup are performed utilizing
the hydrostatic Regional Ocean Modeling...
Moored observations are used to investigate the seasonal change in vertical structure of the cross-shelf
circulation at a midshelf location in the northern California Current System. A streamwise–normal coordinate
system is employed to eliminate meander- and eddy-induced biases in the cross-shelf flow that are unaccounted
for with an alternative, commonly...
The Columbia River delivers the greatest amount of freshwater to the coastal ocean along the U.S. Pacific coast. This freshwater forms the Columbia River plume, a mesoscale plume with significant implications on coastal ocean physical, biological, chemical, and geological processes. The plume is transported south and offshore during the upwelling...
Currently, forecasts produced by the Oregon-Washington (OR-WA) Coastal Ocean Forecast System are constrained by assimilation of only surface observations. The 4-dimensional variational (4DVAR) data assimilation (DA) algorithm is utilized to combine the model and the data, with the time-independent forecast ("background'') error covariance B. In this study, two possible improvements...