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| Titel |
SPHY v2.0: Spatial Processes in HYdrology |
| VerfasserIn |
W. Terink, A. F. Lutz, G. W. H. Simons, W. W. Immerzeel, P. Droogers |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 7 ; Nr. 8, no. 7 (2015-07-08), S.2009-2034 |
| Datensatznummer |
250116451
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| Publikation (Nr.) |
 copernicus.org/gmd-8-2009-2015.pdf |
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| Zusammenfassung |
| This paper introduces and presents the Spatial Processes in HYdrology (SPHY)
model (v2.0), its development background, its underlying concepts, and some
example applications. SPHY has been developed with the explicit aim of
simulating terrestrial hydrology on flexible scales, under various
physiographical and hydroclimatic conditions, by integrating key components
from existing and well-tested models. SPHY is a spatially distributed leaky
bucket type of model, and is applied on a cell-by-cell basis. The model is
written in the Python programming language using the PCRaster dynamic
modeling framework. SPHY (i) integrates most hydrologic processes, (ii) has
the flexibility to be applied in a wide range of hydrologic applications, and
(iii) on various scales, and (iv) can easily be implemented. The most
relevant hydrological processes that are integrated into the SPHY model are
rainfall–runoff processes, cryosphere processes, evapotranspiration
processes, the dynamic evolution of vegetation cover, lake/reservoir outflow,
and the simulation of root-zone moisture contents. Studies in which the SPHY
model was successfully applied and tested are described in this paper,
including (i) real-time soil moisture predictions to support irrigation
management in lowland areas, (ii) climate change impact studies in snow- and
glacier-fed river basins, and (iii) operational flow forecasting in
mountainous catchments. |
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