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| Titel |
An open-source distributed mesoscale hydrologic model (mHM) |
| VerfasserIn |
Luis Samaniego, Rohini Kumar, Matthias Zink, Stephan Thober, Juliane Mai, Matthias Cuntz, David Schäfer, Martin Schrön, Jude Musuuza, Vladyslav Prykhodko, Giovanni Dalmasso, Sabine Attinger, Diana Spieler, Oldrich Rakovec, John Craven, Ben Langenberg |
| 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 |
250089604
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| Publikation (Nr.) |
 EGU/EGU2014-3810.pdf |
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| Zusammenfassung |
| The mesoscale hydrological model (mHM) is based on numerical approximations of
dominant hydrological processes that have been tested in various hydrological models such
as: HBV and VIC. In general, mHM simulates the following processes: canopy interception,
snow accumulation and melting, soil moisture dynamics (n-horizons), infiltration and surface
runoff, evapotranspiration, subsurface storage and discharge generation, deep percolation
and baseflow, and discharge attenuation and flood routing. The main characteristic
of mHM is the treatment of the sub-grid variability of input variables and model
parameters which clearly distinguishes this model from existing precipitation-runoff
models or land surface models. It uses a Multiscale Parameter Regionalization
(MPR) to account for the sub-grid variability and to avoid continuous re-calibration.
Effective model parameters are location and time dependent (e.g., soil porosity).
They are estimated through upscaling operators that link sub-grid morphologic
information (e.g., soil texture) with global transfer-function parameters, which, in
turn, are found through multi-basin optimization. Global parameters estimated with
the MPR technique are quasi-scale invariant and guarantee flux-matching across
scales.
mHM is an open source code, written in Fortran 2003 (standard), fully modular, with high
computational efficiency, and parallelized. It is portable to multiple platforms (Linux, OS X,
Windows) and includes a number of algorithms for sensitivity analysis, analysis of
parameter uncertainty (MCMC), and optimization (DDS, SA, SCE). All simulated
state variables and outputs can be stored as netCDF files for further analysis and
visualization.
mHM has been evaluated in all major river basins in Germany and over 80 US and 250
European river basins. The model efficiency (NSE) during validation at proxy locations is
on average greater than 0.6. During last years, mHM had been used for number
of hydrologic applications such as, for example, a) to investigate the influence of
the antecedent soil moisture on extreme floods in Germany (2002 and 2013), b)
for establishing benchmark agricultural drought events for Germany since 1950.
A 60-year reconstruction of the daily mHM soil moisture fields over Germany
at high resolution 4 x 4 km2 was used for this purpose, and c) to investigate the
potential benefits of a high resolution modeling approach for the drought monitoring
and forecasting system over Pan-EU. We invite the community to take advantage
of this open-source code which is freely available (after nominal registration) at:
http://www.ufz.de/index.php?en=31389. |
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