Bathymetry is a major factor in determining nearshore and surf zone wave transformation and
currents, yet is often poorly known. This can lead to inaccuracy in numerical model predictions. Here
bathymetry is estimated as an uncertain parameter in a data assimilation system, using the ensemble Kalman
filter (EnKF). The system...
A methodology is described for assimilating observations in a steady state twodimensional
horizontal (2‐DH) model of nearshore hydrodynamics (waves and currents),
using an ensemble‐based statistical estimator. In this application, we treat bathymetry as a
model parameter, which is subject to a specified prior uncertainty. The statistical estimator
uses state augmentation...