Speaker:
Marc Etienne Ridler
Affiliation:
DHI Group, Copenhagen, Dk
Seminar Date:
29. June 2017 - 12:30 - 13:00
Hydrological models are used extensively to monitor and manage water resources, and provide flood forecasts. These complex, physically based models are inherently uncertain due to imperfect parameterization, meteorological forcing data, initial conditions, and model discretization. Data assimilation offers a means to incorporate information from measurements to both correct model forecasts and, importantly, provides quantitative uncertainty estimates useful for decision makers.