Articles | Volume 20, issue 10
Hydrol. Earth Syst. Sci., 20, 4341–4357, 2016
https://doi.org/10.5194/hess-20-4341-2016

Special issue: Modeling hydrological processes and changes

Hydrol. Earth Syst. Sci., 20, 4341–4357, 2016
https://doi.org/10.5194/hess-20-4341-2016

Research article 26 Oct 2016

Research article | 26 Oct 2016

Multivariate hydrological data assimilation of soil moisture and groundwater head

Donghua Zhang et al.

Data sets

HOBE project website HOBE http://hobe.dk/

HydroCast Hydrological Forecasting and Data Assimilation http://hydrocast.dhigroup.com/

Hydrological model forcing data Danish Meteorological Institute https://www.dmi.dk/vejr/arkiver/vejrarkiv/

Soil moisture data International Soil Moisture Network (ISMN) https://ismn.geo.tuwien.ac.at/networks/hobe/

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Short summary
We present a method to assimilate observed groundwater head and soil moisture profiles into an integrated hydrological model. The study uses the ensemble transform Kalman filter method and the MIKE SHE hydrological model code. The proposed method is shown to be more robust and provide better results for two cases in Denmark, and is also validated using real data. The hydrological model with assimilation overall improved performance compared to the model without assimilation.