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Volume 10, issue 8
Geosci. Model Dev., 10, 3001-3023, 2017
https://doi.org/10.5194/gmd-10-3001-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 3001-3023, 2017
https://doi.org/10.5194/gmd-10-3001-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 10 Aug 2017

Model description paper | 10 Aug 2017

lumpR 2.0.0: an R package facilitating landscape discretisation for hillslope-based hydrological models

Tobias Pilz et al.
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Cited articles  
Ajami, H., Khan, U., Tuteja, N. K., and Sharma, A.: Development of a computationally efficient semi-distributed hydrologic modeling application for soil moisture, lateral flow and runoff simulation, Environ. Modell. Softw., 85, 319–331, https://doi.org/10.1016/j.envsoft.2016.09.002, 2016.
Band, L. E., Tague, C. L., Brun, S. E., Tenenbaum, D. E., and Fernandes, R. A.: Modelling Watersheds as Spatial Object Hierarchies: Structure and Dynamics, Trans. GIS, 4, 181–196, https://doi.org/10.1111/1467-9671.00048, 2000.
Beven, K.: Linking parameters across scales: Subgrid parameterizations and scale dependent hydrological models, Hydrol. Process., 9, 507–525, https://doi.org/10.1002/hyp.3360090504, 1995.
Beven, K.: Searching for the Holy Grail of scientific hydrology: Qt = (S, R, Δt)A as closure, Hydrol. Earth Syst. Sci., 10, 609–618, https://doi.org/10.5194/hess-10-609-2006, 2006.
Beven, K., Calver, A., and Morris, E. M.: The Institute of Hydrology distributed model, IH Report 98, Institute of Hydrology, Wallingford, UK, 1987.
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Short summary
To discretise and transfer a landscape into a hydrological model, many different algorithms and software implementations exist. These are, however, often model specific, commercial, and allow for only a limited workflow automation. Overcoming these limitations, the software package lumpR was developed. It employs an hillslope-based discretisation algorithm directed at large-scale application. The software is demonstrated in a case study and crucial discretisation parameters are investigated.
To discretise and transfer a landscape into a hydrological model, many different algorithms and...
Citation