Data Assimilation Applications in Hydrology
Tomme: LX (LXIV) Fascicle: 2 | 2014
Pages: 93-102
Abstract text:
In this paper we review some data assimilation applications in hydrology and we investigate the benefits of applying the ensemble Kalman filter methods on a specific hydrodynamic model of a river network using the MIKE 11 software. We explore the efects of assimilating measurements from different locations (generated by a reference model) into a model forced with erroneous boundary conditions and also examine the effect of using coloured noise for describing uncertainty in the upstream boundary conditions.
Key Words:
hydrological systems; Kalman filter; data assimilation.
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