The researchers used ensemble Kalman filter data assimilation to improve forecasts in shallow water models. They compared this method with another data assimilation technique and found that ensemble Kalman filter successfully controlled estimation errors and enhanced model state predictions. The experiments demonstrated the effectiveness of ensemble Kalman filter in dynamical systems, showing improved forecasting accuracy.