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| Titel |
Evaluation of different calibration strategies for large scale continuous hydrological modelling |
| VerfasserIn |
M. Wallner, U. Haberlandt, J. Dietrich |
| 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 14th Workshop on Large-scale Hydrological Modelling ; Nr. 31 (2012-09-10), S.67-74 |
| Datensatznummer |
250017311
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| Publikation (Nr.) |
 copernicus.org/adgeo-31-67-2012.pdf |
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| Zusammenfassung |
For the analysis of climate impact on flood flows and flood frequency in
macroscale river basins, hydrological models can be forced by several sets
of hourly long-term climate time series. Considering the large number of
model units, the small time step and the required recalibrations for
different model forcing an efficient calibration strategy and optimisation
algorithm are essential.
This study investigates the impact of different calibration strategies and
different optimisation algorithms on the performance and robustness of a
semi-distributed model. The different calibration strategies were (a) Lumped, (b) 1-Factor, (c) Distributed and (d) Regionalisation. The latter
uses catchment characteristics and estimates parameter values via transfer
functions. These methods were applied in combination with three different
optimisation algorithms: PEST, DDS, and SCE. In addition to the standard
temporal evaluation of the calibration strategies, a spatial evaluation was
applied. This was done by transferring the parameters from calibrated
catchments to uncalibrated ones and validating the model performance of
these uncalibrated catchments. The study was carried out for five
sub-catchments of the Aller-Leine River Basin in Northern Germany.
The best result for temporal evaluation was achieved by using the
combination of the DDS optimisation with the Distributed strategy. The
Regionalisation method obtained the weakest performance for temporal
evaluation. However, for spatial evaluation the Regionalisation indicated
more robust models, closely followed by the Lumped method. The 1-Factor and
the Distributed strategy showed clear disadvantages regarding spatial
parameter transferability. For the parameter estimation based on catchment
descriptors as required for ungauged basins, the Regionalisation strategy
seems to be a promising tool particularly in climate impact analysis and for
hydrological modelling in general. |
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