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doi:10.1002/9781119951001.refs

Cited by 2 publications

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“…Total runoff is calculated as the sum of two components (see Figure 2-b); saturation excess overland flow from variable contributing areas, and subsurface flow from 85 the saturated zone of the soil (Uhlenbrook et al, 1999). TOPMODEL uses four basic assumptions to relate down slope flow from a point to discharge at the catchment outlet: the dynamics of the saturated zone are approximated by successive steady state representations; the recharge rate to the water table is spatially homogeneous; the effective hydraulic gradient of the saturated zone is approximated by the local topographic surface gradient S (tanβ is the notation most common in TOPMODEL descriptions, where β is the local slope angle); and the effective down slope transmissivity T of a soil profile at a point is a 90 function of the soil moisture deficit at that point (Beven, 2012). Flow is routed through a delay function, which represents the time spent in the channel system.…”

Section: Description Of the Modelsmentioning

confidence: 99%

Hydrological model assessment for flood early warning in a tropical high mountain basin

Rogelis

Werner

Obregón

et al. 2016

Preprint

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Abstract. A distributed model (TETIS), a semi-distributed model (TOPMODEL) and a lumped model (HEC HMS soil moisture accounting) were used to simulate the discharge response of a tropical high mountain basin characterized by soils with high water storage capacity and high conductivity. The models were calibrated with the Shuffle Complex Evolution algorithm, using the Kling and Gupta efficiency as objective function. Performance analysis and diagnostics were carried out using the signatures of the flow duration curve and through analysis of the model fluxes in order to identify the most appropriate model for the 5 study area for flood early warning. The impact of varying grid sizes was assessed in the TETIS model and the TOPMODEL in order to chose a model with balanced model performance and computational efficiency. The sensitivity of the models to variation in the precipitation input was analysed by forcing the models with a rainfall ensemble obtained from Gaussian simulation.The resulting discharge ensembles of each model were compared in order to identify differences among models structures. The results show that TOPMODEL is the most realistic model of the three tested, albeit showing the largest discharge ensemble 10 spread. The main differences among models occur between HEC HMS soil moisture accounting and TETIS, and HEC HMS soil moisture accounting and TOPMODEL, with HEC HMS soil moisture accounting producing ensembles in a range lower than the other two models. The ensembles of TETIS and TOPMODEL are more similar.

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Section: Description Of the Modelsmentioning

confidence: 99%