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| Titel |
A framework to assess the realism of model structures using hydrological signatures |
| VerfasserIn |
T. Euser, H. C. Winsemius, M. Hrachowitz, F. Fenicia, S. Uhlenbrook, H. H. G. Savenije |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 5 ; Nr. 17, no. 5 (2013-05-21), S.1893-1912 |
| Datensatznummer |
250018878
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| Publikation (Nr.) |
 copernicus.org/hess-17-1893-2013.pdf |
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| Zusammenfassung |
| The use of flexible hydrological model structures for hypothesis testing
requires an objective and diagnostic method to identify whether a
rainfall-runoff model structure is suitable for a certain catchment. To
determine if a model structure is realistic, i.e. if it captures the relevant
runoff processes, both performance and consistency are important. We define
performance as the ability of a model structure to mimic a specific part of
the hydrological behaviour in a specific catchment. This can be assessed
based on evaluation criteria, such as the goodness of fit of specific
hydrological signatures obtained from hydrological data. Consistency is
defined as the ability of a model structure to adequately reproduce several
hydrological signatures simultaneously while using the same set of parameter
values. In this paper we describe and demonstrate a new evaluation Framework
for Assessing the Realism of Model structures (FARM). The evaluation
framework tests for both performance and consistency using a principal
component analysis on a range of evaluation criteria, all emphasizing
different hydrological behaviour. The utility of this evaluation framework is
demonstrated in a case study of two small headwater catchments (Maimai, New
Zealand, and Wollefsbach, Luxembourg). Eight different hydrological signatures
and eleven model structures have been used for this study. The results
suggest that some model structures may reveal the same degree of performance
for selected evaluation criteria while showing differences in consistency.
The results also show that some model structures have a higher performance
and consistency than others. The principal component analysis in combination
with several hydrological signatures is shown to be useful to visualise the
performance and consistency of a model structure for the study catchments.
With this framework performance and consistency are evaluated to identify
which model structure suits a catchment better compared to other model
structures. Until now the framework has only been based on a qualitative analysis
and not yet on a quantitative analysis. |
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