Parameter estimation for Muskingum models

A methodology for parameter estimation for the Muskingum model of streamflow routing is developed. The methodology minimizes the outflow prediction errors subject to the satisfaction of the streamflow-routing equations for all time stages in the routing process. The routing equations incorporate the Muskingum channel storage models. An algorithm is developed for parameter estimation that iteratively solves the governing equations to identify the Muskingum model parameters.