Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-2009-2015
https://doi.org/10.5194/gmd-8-2009-2015
Model description paper
 | 
08 Jul 2015
Model description paper |  | 08 Jul 2015

SPHY v2.0: Spatial Processes in HYdrology

W. Terink, A. F. Lutz, G. W. H. Simons, W. W. Immerzeel, and P. Droogers

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Cited articles

Abbott, M., Bathurst, J., Cunge, J., O'Connell, P., and Rasmussen, J.: An introduction to the European Hydrological System – Systeme Hydrologique Europeen, "SHE", 2: Structure of a physically-based, distributed modelling system, J. Hydrol., 87, 61–77, 1986.
ADB: Consultant's Report Regional Technical Assistance: Water and Adaptation Interventions in Central and West Asia, Tech. rep., 2012.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements, FAO Irrigation and drainage paper, 56, 1998.
Andersson, E.: User guide to ECMWF forecast products. Version 1.1, Tech. rep., ECMWF, available at: http://old.ecmwf.int/products/forecasts/guide/user_guide.pdf (last access: 02 August 2014), 2013.
Bartholomeus, R. P., Witte, J.-P. M., van Bodegom, P. M., van Dam, J. C., and Aerts, R.: Critical soil conditions for oxygen stress to plant roots: Substituting the Feddes-function by a process-based model, J. Hydrol., 360, 147–165, https://doi.org/10.1016/j.jhydrol.2008.07.029, 2008.
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Short summary
This paper introduces the Spatial Processes in HYdrology (SPHY) model (v2.0), its underlying concepts, and some example applications. SPHY has the flexibility to be applied in a wide range of hydrologic applications, on various scales, and can easily be implemented. The most relevant hydrologic processes integrated in the SPHY model are rainfall--runoff, cryosphere processes, evapotranspiration processes, the dynamic evolution of evolution of vegetation cover, and lake/reservoir outflow.