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| Titel |
Seasonal snowmelt modelling for the Sieber catchment (Harz Mountains, Germany) by means of WRF-downscaled analysis data including different process parameterizations for microphysics and snowmelt |
| VerfasserIn |
Kristian Förster, Günter Meon, Ulrich Strasser |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250091062
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| Publikation (Nr.) |
 EGU/EGU2014-5329.pdf |
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| Zusammenfassung |
| Physically based snowmelt modelling at the catchment scale requires adequate strategies to
derive basin scale meteorological data fields. These meteorological data fields must fulfil
two major requirements for distributed hydrological modelling with a focus on
snowmelt and flood prediction: (i) high spatial and temporal resolution, and (ii) all
surface variables including precipitation, temperature, humidity, wind speed, and
radiation have to be physically consistent in space and time. Local atmospheric models
using atmospheric (re-) analysis data meet these prerequisites. We use the Weather
Research and Forecast Model (WRF) and NCEP analysis data to derive hourly
meteorological data fields of surface meteorological variables with a spatial resolution of
1.1 km for the Sieber catchment (44 km2) in the Harz Mountains, Germany. At
first, the performance of several model runs including three different downscaling
approaches and four different microphysics parameterizations is evaluated for the winter
season 2005/06 using observations from the station network. Then we carry out the
hydrological simulations with the hydrological modelling system PANTA RHEI
including four independent snowmelt parameterizations. The passively coupled
modelling system consisting of WRF and PANTA RHEI performed well (r > 0.8)
which holds also for an independent validation period. In conclusion it can be stated
that local atmospheric models are suitable tools to provide boundary conditions
respectively meteorological data fields for snowmelt modelling at the catchment scale.
The presented approach can also be useful for water management in ungauged
basins. |
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