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| Titel |
mRM - multiscale Routing Model for Scale-Independent Streamflow Simulations |
| VerfasserIn |
Stephan Thober, Rohini Kumar, Luis Samaniego, Juliane Mai, Oldrich Rakovec, Matthias Cuntz |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250125270
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| Publikation (Nr.) |
 EGU/EGU2016-4831.pdf |
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| Zusammenfassung |
| Routing streamflow through a river network is a basic step within any
distributed hydrologic model. It integrates the generated runoff and
allows comparison with observed discharge at the outlet of a
catchment.
The Muskingum routing is a textbook river routing scheme that has been
implemented in Earth System Models (e.g., WRF-HYDRO), stand-alone
routing schemes (e.g., RAPID) , and hydrologic models (e.g., the
mesoscale Hydrologic Model - mHM). Two types of implementations are
mostly used. In the first one, the spatial routing resolution is fixed
to that of the elevation model irrespective of the hydrologic modeling
resolution. This implementation suffers from a high computational
demand. In the second one, the spatial resolution is always applied at
the hydrologic modelling resolution. This approach requires a
scale-independent model behaviour which is often not evaluated.
Here, we present the multiscale Routing Model (mRM) that provides
a flexible choice of the routing resolution independent of the
hydrologic modelling resolution. It incorporates a triangular unit
hydrograph for overland flow routing and a Muskingum routing scheme
for river routing. mRM provides a scale-independent model behaviour by
exploiting the Multiscale Parameter Regionalisation (MPR) included in
the open-source mHM (www.ufz.de/mhm). MPR
reflects the structure of the landscape within the parametrisation of
hydrologic processes. Effective model parameters are derived by
upscaling of high-resolution (i.e., landscape resolution) parameters
to the hydrologic modelling/routing resolution as proposed in
Samaniego et al. 2010 and Kumar et al. 2013.
mRM is coupled in this work to the state-of-the-art land surface model
Noah-MP. Simulated streamflow is derived for the Ohio River
($\approx$~525\:000\:$\mathrm{km}^2$) during the period 1990-2000 at resolutions of
0.0625 |
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