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| Titel |
A snowmelt runoff forecasting model coupling WRF and DHSVM |
| VerfasserIn |
Q. Zhao, Z. Liu, B. Ye, Y. Qin, Z. Wei, S. Fang |
| 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 ; 13, no. 10 ; Nr. 13, no. 10 (2009-10-15), S.1897-1906 |
| Datensatznummer |
250012025
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| Publikation (Nr.) |
 copernicus.org/hess-13-1897-2009.pdf |
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| Zusammenfassung |
| This study linked the Weather Research and Forecasting
(WRF) modelling system and the Distributed Hydrology Soil Vegetation Model
(DHSVM) to forecast snowmelt runoff. The study area was the 800 km2
Juntanghu watershed of the northern slopes of Tianshan Mountain Range. This
paper investigated snowmelt runoff forecasting models suitable for
meso-microscale application. In this study, a limited-region 24-h Numeric
Weather Forecasting System was formulated using the new generation
atmospheric model system WRF with the initial fields and lateral boundaries
forced by Chinese T213L31 model. Using the WRF forecasts, the DHSVM
hydrological model was used to predict 24 h snowmelt runoff at the outlet of
the Juntanghu watershed. Forecasted results showed a good similarity to the
observed data, and the average relative error of maximum runoff simulation
was less than 15%. The results demonstrate the potential of using a
meso-microscale snowmelt runoff forecasting model for forecasting floods.
The model provides a longer forecast period compared with traditional models
such as those based on rain gauges or statistical forecasting. |
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