The focus of this talk is assimilating observations into a system whose errors are more dominated by forcing than by dynamical chaos. I will discuss my results and experience working with ensemble Kalman filtering on the Chesapeake Bay. Errors in Bay forecasts are driven mostly by errors in the wind and river input fields, which necessitates accounting for these uncertainties. I will also touch on how this work has tied into using EnKF for cardiac models.