Back to list


Henrik  Madsen


Senior Research Scientist


DHI Water - Environment - Health,


Agern Allé 5, 2970 Hřrsholm


+45 45 16 92 42



Research interests:

Hydrological modelling

Uncertainty analysis

Data assimilation

Parameter estimation (inverse modelling)


Extreme value analysis (floods and droughts)

Involvement in research projects:

Integration of modelling, monitoring and optimisation technologies for real-time management of groundwater resources.

Parameter estimation and uncertainty assessment in hydrological modelling.

Use of surrogate modelling techniques in data assimilation, optimisation and uncertainty estimation.

Reservoir optimisation.

Advisor for PhD students:

Roberta Blasone (Parameter and uncertainty estimation in hydrological modelling).

Emiliano Gelati (Optimisation of water resources systems using evolutionary algorithms with surrogate modelling)

Key publications:

Recent publications:

Madsen, H., Wilson, G. and Ammentorp, H.C., 2002, Comparison of different automated strategies for cali-bration of rainfall-runoff models, Journal of Hydrology, 261, 48-59.

Madsen, H., Mikkelsen, P.S., Rosbjerg, D. and Harremoës, P., 2002, Regional estimation of rainfall-intensity-duration-frequency curves using generalised least squares regression of partial duration series sta-tistics, Water Resources Research, 38(11), 1239, doi: 10.1029/2001WR001125.

Madsen, H., 2003, Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives, Advances in Water Resources, 26, 205-216.

Rojas-Palma, C., Madsen, H., Gering, F., Puch, R., Turcanu, C., Astrup, P., Müller, H., Richter, K., Zhelez¬nyak, M., Treebushny, D., Kolomeev, M., Kamaev, D., Wynn, H., 2003, Data assimilation in the decision support system RODOS, Radiation Protection Dosimetry, 104(1), 31-40.

Jakobsen, F. and Madsen, H., 2004, Comparison and further development of parametric tropical cyclone models for storm surge modelling, Journal of Wind Engineering and Industrial Aerodynamics, 92, 375-391.

Mertens, J., Madsen, H., Feyen, L., Jaques, D. and Feyen, J., 2004, Including prior information in the esti-mation of effective soil parameters in unsaturated zone modelling, Journal of Hydrology, 294, 251-269.

Madsen, H. and Jakobsen, F., 2004, Cyclone induced storm surge and flood forecasting in the Northern Bay of Bengal, Coastal Engineering, 51, 277-296.

Sřrensen, J.V.T., Madsen H. and Madsen H., 2004, Efficient sequential techniques for the assimilation of tide gauge data in three dimensional modeling of the North Sea and Baltic Sea system, Journal of Geo-physical Research, 109, 10.1029/2003JC002144.

Sřrensen, J.V.T., Madsen, H. and Madsen, H., 2004, Data assimilation in hydrodynamic modelling: On the treatment of non-linearity and bias, Stochastic Environmental Research and Risk Assessment, 18(4), 228-244.

Butts, M.B., Payne, J.T., Kristensen, M. and Madsen, H., 2004, An evaluation of the impact of model struc-ture and complexity on hydrological modelling uncertainty for streamflow prediction, Journal of Hydrology, 298, 242-266.

Khu, S.T., Madsen, H., 2005, Multi-objective calibration with Pareto preference ordering. An application to rainfall-runoff model calibration, Water Resources Research, 41, 10.1029/2004WR003041.

Madsen, H., and Skotner, C., 2005, Adaptive state updating in real-time river flow forecasting - A combined filtering and error forecasting procedure, Journal of Hydrology, 308, 302-312.

Treebushny, D., Madsen, H., 2005, On the construction of a reduced rank square root Kalman filter for effi-cient uncertainty propagation, Future Generation of Computer Systems, 21, 1047-1055.

Mertens, J., Madsen, H., Kristensen, M., Jaques, D. and Feyen, J., 2005, Sensitivity of soil parameters in unsaturated zone modelling and the relation between effective, laboratory and in-situ estimates, Hydrologi-cal Processes, 19, 1611-1633.

Mikkelsen, P. S., Madsen, H., Arnbjerg-Nielsen, K., Rosbjerg, D. and Harremoës, P., 2005, Selection of re-gional historical rainfall time series as input to urban drainage simulations at ungauged locations, Atmos-pheric Research, 77, 4-17.

Sřrensen, J.V.T., Madsen H. and Madsen H., 2006, Parameter sensitivity of three Kalman filter schemes for assimilation of water levels in shelf sea models, Ocean Modelling, 11, 441- 463.

Drécourt, J.P., Madsen, H., Rosbjerg, D., 2006, Bias aware Kalman filters: Comparison and improvements, Advances in Water Resources, 29, 707-718.

Drécourt, J.P., Madsen, H., Rosbjerg, D., 2006, Calibration framework for a Kalman filter applied to a groundwater model, Advances in Water Resources, 29, 719-734.

Ngo, L.L., Madsen, H., Rosbjerg, D., 2007, Simulation and optimisation modelling approach for operation of the Hoa Binh reservoir, Vietnam, Journal of Hydrology, In Press.

Research School of Water Resources © 2005 Design by