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| Titel |
A comparison of regionalisation methods for catchment model parameters |
| VerfasserIn |
J. Parajka, R. Merz, G. Blöschl |
| 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 ; 9, no. 3 ; Nr. 9, no. 3 (2005-08-09), S.157-171 |
| Datensatznummer |
250006862
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| Publikation (Nr.) |
 copernicus.org/hess-9-157-2005.pdf |
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| Zusammenfassung |
| In this study we examine the relative performance of a range of methods for
transposing catchment model parameters to ungauged catchments. We calibrate
11 parameters of a semi-distributed conceptual rainfall-runoff model to
daily runoff and snow cover data of 320 Austrian catchments in the period
1987-1997 and verify the model for the period 1976-1986. We evaluate the
predictive accuracy of the regionalisation methods by jack-knife
cross-validation against daily runoff and snow cover data. The results
indicate that two methods perform best. The first is a kriging approach
where the model parameters are regionalised independently from each other
based on their spatial correlation. The second is a similarity approach
where the complete set of model parameters is transposed from a donor
catchment that is most similar in terms of its physiographic attributes
(mean catchment elevation, stream network density, lake index, areal
proportion of porous aquifers, land use, soils and geology). For the
calibration period, the median Nash-Sutcliffe model efficiency ME of daily
runoff is 0.67 for both methods as compared to ME=0.72 for the at-site
simulations. For the verification period, the corresponding efficiencies are
0.62 and 0.66. All regionalisation methods perform similar in terms of
simulating snow cover. |
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