Sensitivity of Surface Currents to Bathymetry in a Partially Mixed Estuary with Applications to Inverse Modeling

Abstract

An inversion technique was tested for estimating bathymetry from observations of surface currents in a partially mixed estuary, the mouth of the Columbia River (MCR). The methodology uses an iterative ensemble-based assimilation scheme, which is found to have good skill for recovering bathymetry from observations distributed in space and time. However, the inversion skill is highly dependent on the tidal phase, location of the observations, and flow-dependent estuary dynamics. Inversion skill was found to degrade during periods of higher river discharge (up to ∼12 000 m3), or low tidal amplitude, while inversion of depth-averaged velocities instead of surface velocities caused increased skill throughout the domain. These results point to dynamical limits on inversion skill, caused by changes in estuary dynamics that affect the sensitivity of surface velocities to bathymetry. An adjoint sensitivity analysis is used to visualize these effects and is combined with data-denial experiments to explore the flow-dependent inversion skill.