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| Titel |
A flexible open data assimilation framework for hydrological modelling |
| VerfasserIn |
Nils van Velzen, Marc Ridler, Umer Altaf, Henrik Madsen, Arnold Heemink |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250100882
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| Publikation (Nr.) |
 EGU/EGU2014-16896.pdf |
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| Zusammenfassung |
| Traditionally, data assimilation algorithms are implemented in model specific form. This
requires in-depth knowledge of the numerical core and additional programming to perform
data assimilation experiments. We present a more flexible approach to setup a hydrological
forecasting system using a generic coupling between the Open Model Interface
(OpenMI) and the model interface of OpenDA. OpenMI is used for all interactions
between the model and the data assimilation algorithms avoiding the need to alter the
computational core of the hydrological model. OpenDA is an open source data
assimilation toolbox that contains a number of state-of-the-art data assimilation
algorithms to easily set up a forecasting system with data assimilation capabilities. The
developed coupling allows users to run any OpenMI compliant model seamlessly in
OpenDA.
A number of assimilation experiments with the MIKE SHE distributed and integrated
hydrological modeling system is performed to demonstrate the capabilities of the coupled
OpenMI – OpenDA approach. Various ensemble based data assimilation algorithms are used
to improve the forecasted groundwater levels and river discharges. Biases in the
measurements are detected and corrected by the generic bias correction module of OpenDA. |
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