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| Titel |
Investigation of parameter uncertainty and identifiability of the hydrological model WaSiM-ETH |
| VerfasserIn |
G. Wriedt, M. Rode |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Integration of hydrological models on different spatial and temporal scales ; Nr. 9 (2006-09-26), S.145-150 |
| Datensatznummer |
250006584
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| Publikation (Nr.) |
 copernicus.org/adgeo-9-145-2006.pdf |
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| Zusammenfassung |
| The identification of optimum model parameters may be influenced by temporal
or event-specific changes of optimum parameter ranges and the length and
information content of calibration data. These effects were studied for the
hydrological model WaSiM-ETH in a 170 km2 catchment. Based on a
Monte-Carlo simulation including seven model parameters, we investigated
temporal and state dependent changes of parameter identifiability using the
DYNIA algorithm. The effect of data length was studied using a modified
DYNIA approach based on a growing window algorithm. The DYNIA analysis
revealed temporal changes of identifiability for the snow melt runoff
parameter cmelt, which is only identifiable during winter runoff, and for the
drainage density parameter drd. The drd parameter was closely related to observed
discharge (or catchment moisture), when re-ordering the time series by
discharge. Such dependencies probably result from processes not included in
model equations. The growing window analysis shows that more than one year
of data did not result in improved identification of model parameters
cmelt and drd. Using the re-ordered data series, good identifiability of cmelt was bound
to high discharges, while identifiability of drd changed with the addition of
further values in descending or ascending order. The methodology revealed
structural problems with regard to the parameter drd, which are not yet
completely understood and require further investigation. |
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