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| Titel |
Effect of meteorological forcing and snow model complexity on hydrological simulations in the Sieber catchment (Harz Mountains, Germany) |
| VerfasserIn |
K. Förster, G. Meon, T. Marke, U. Strasser |
| 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 ; 18, no. 11 ; Nr. 18, no. 11 (2014-11-28), S.4703-4720 |
| Datensatznummer |
250120536
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| Publikation (Nr.) |
 copernicus.org/hess-18-4703-2014.pdf |
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| Zusammenfassung |
| Detailed physically based snow models using energy balance approaches are
spatially and temporally transferable and hence regarded as particularly
suited for scenario applications including changing climate or land use.
However, these snow models place high demands on meteorological input data at
the model scale. Besides precipitation and temperature, time series of
humidity, wind speed, and radiation have to be provided. In many catchments
these time series are rarely available or provided by a few meteorological
stations only. This study analyzes the effect of improved meteorological
input on the results of four snow models with different complexity for the
Sieber catchment (44.4 km2) in the Harz Mountains, Germany. The Weather
Research and Forecast model (WRF) is applied to derive spatial and temporal
fields of meteorological surface variables at hourly temporal resolution for
a regular grid of 1.1 km × 1.1 km. All snow models are
evaluated at the point and the catchment scale. For catchment-scale
simulations, all snow models were integrated into the hydrological modeling
system PANTA RHEI. The model results achieved with a simple temperature-index
model using observed precipitation and temperature time series as input are
compared to those achieved with WRF input. Due to a mismatch between modeled
and observed precipitation, the observed melt runoff as provided by a snow
lysimeter and the observed streamflow are better reproduced by application of
observed meteorological input data. In total, precipitation is simulated
statistically reasonably at the seasonal scale but some single precipitation
events are not captured by the WRF data set. Regarding the model efficiencies
achieved for all simulations using WRF data, energy balance approaches
generally perform similarly compared to the temperature-index approach and
partially outperform the latter. |
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