Hydrological modelling & Data Assimilation (at catchment scale)

Speaker: 
Marc Etienne Ridler
Affiliation: 
DHI Group, Copenhagen, Dk
Seminar Date: 
29. June 2017 - 12:30 - 13:00
Location: 
Cinema, Ground Floor, NERSC

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.

In this talk, I will introduce hydrological modelling (in MIKE SHE software) as well as a brief overview of data assimilation using an ensemble based Kalman filter. I will present the results of two research studies: 1) assimilating SMOS soil moisture, and 2) Multi-variate assimilation. This ongoing research is part of the Nordic Center of Excellence “Embla”. https://embla.nersc.no/