Dynamic TOPMODEL : a new implementation in R and its sensitivity to time and space steps

Metcalfe, Peter and Beven, Keith John and Freer, Jim (2015) Dynamic TOPMODEL : a new implementation in R and its sensitivity to time and space steps. Environmental Modelling and Software, 72. pp. 155-172. ISSN 1364-8152

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Abstract

In 2001, Beven and Freer introduced a “dynamic” variant of TOPMODEL that addressed some of the limitations of the original model whilst retaining its computational and parametric efficiency. The original assumption of a quasi-steady water table was replaced by time-dependent kinematic routing within hydrological similar areas. The new formulation allows a more flexible discretisation, variable upslope drainage areas and spatially variable physical properties. There has, however, never been a freely distributable version of dynamic TOPMODEL. Here, we describe a new, open source, version developed in the R environment. It incorporates handling of geo-referenced spatial data that allows it to integrate with modern GIS. It makes use of data storage and vectorisation features of the language that will allow efficient scaling of the problem domain. The implementation is evaluated with data from a small catchment. The formulation of the model in terms of a flow distribution matrix is described and its use illustrated for treatment of surface and subsurface flow routing. The model uses an improved implicit solution for updating the subsurface storages and fluxes. The paper focuses on the robustness of the predicted output variables to changes in the time and space discretisations.

Item Type:
Journal Article
Journal or Publication Title:
Environmental Modelling and Software
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2300
Subjects:
?? dynamic topmodelrgwyplynlimondistributed hydrological modelgeneral environmental scienceecological modellingenvironmental science(all) ??
ID Code:
81255
Deposited By:
Deposited On:
22 Aug 2016 15:02
Refereed?:
Yes
Published?:
Published
Last Modified:
11 Sep 2024 14:01