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| Titel |
Investigation of the transferability of hydrological models and a method to improve model calibration |
| VerfasserIn |
G. Hartmann, A. Bárdossy |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Proceedings of the 8th Workshop for Large Scale Hydrological Modelling - Oppurg 2004 ; Nr. 5 (2005-12-16), S.83-87 |
| Datensatznummer |
250002171
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| Publikation (Nr.) |
 copernicus.org/adgeo-5-83-2005.pdf |
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| Zusammenfassung |
| In order to find a model parameterization such that the hydrological model
performs well even under different conditions, appropriate model performance
measures have to be determined. A common performance measure is the Nash
Sutcliffe efficiency. Usually it is calculated comparing observed and
modelled daily values. In this paper a modified version is suggested in
order to calibrate a model on different time scales simultaneously (days up
to years). A spatially distributed hydrological model based on HBV concept
was used. The modelling was applied on the Upper Neckar catchment, a
mesoscale river in south western Germany with a basin size of about 4000 km2.
The observation period 1961-1990 was divided into four
different climatic periods, referred to as "warm", "cold", "wet" and
"dry". These sub periods were used to assess the transferability of the
model calibration and of the measure of performance. In a first step, the
hydrological model was calibrated on a certain period and afterwards applied
on the same period. Then, a validation was performed on the climatologically
opposite period than the calibration, e.g. the model calibrated on the cold
period was applied on the warm period. Optimal parameter sets were
identified by an automatic calibration procedure based on Simulated
Annealing. The results show, that calibrating a hydrological model that is
supposed to handle short as well as long term signals becomes an important
task. Especially the objective function has to be chosen very carefully. |
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