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| Titel |
R-HyMOD: an R-package for the hydrological model HyMOD |
| VerfasserIn |
Emanuele Baratti, Alberto Montanari |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250109781
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| Publikation (Nr.) |
 EGU/EGU2015-9718.pdf |
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| Zusammenfassung |
| A software code for the implementation of the HyMOD hydrological model [1] is
presented. HyMOD is a conceptual lumped rainfall-runoff model that is based on the
probability-distributed soil storage capacity principle introduced by R. J. Moore 1985 [2].
The general idea behind this model is to describe the spatial variability of some process
parameters as, for instance, the soil structure or the water storage capacities, through
probability distribution functions.
In HyMOD, the rainfall-runoff process is represented through a nonlinear tank connected
with three identical linear tanks in parallel representing the surface flow and a slow-flow
tank representing groundwater flow. The model requires the optimization of five
parameters: Cmax (the maximum storage capacity within the watershed), β (the degree of
spatial variability of the soil moisture capacity within the watershed), α (a factor
for partitioning the flow between two series of tanks) and the two residence time
parameters of quick-flow and slow-flow tanks, kquick and kslow respectively. Given its
relatively simplicity but robustness, the model is widely used in the literature. The
input data consist of precipitation and potential evapotranspiration at the given time
scale.
The R-HyMOD package is composed by a “canonical” R-function of HyMOD and a fast
FORTRAN implementation. The first one can be easily modified and can be used, for
instance, for educational purposes; the second part combines the R user friendly interface
with a fast processing unit.
[1] Boyle D.P. (2000), Multicriteria calibration of hydrological models, Ph.D. dissertation,
Dep. of Hydrol. and Water Resour., Univ of Arizona, Tucson.
[2] Moore, R.J., (1985), The probability-distributed principle and runoff production at point
and basin scale, Hydrol. Sci. J., 30(2), 273-297. |
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