## Abstract Effects of the catchment runoff coefficient on the performance of TOPMODEL in simulating catchment rainfall–runoff relationships are investigated in this paper, with an aim to improve TOPMODEL's simulation efficiency in catchments with a low runoff coefficient. Application of TOPMODEL i
Rainfall-runoff modelling of a humid tropical catchment: the TOPMODEL approach
✍ Scribed by Paul Campling; Anne Gobin; Keith Beven; Jan Feyen
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 570 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0885-6087
- DOI
- 10.1002/hyp.341
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✦ Synopsis
Abstract
TOPMODEL, a semi‐distributed, topographically based hydrological model, was applied to simulate continuously the runoff hydrograph of a medium‐sized (379 km^2^), humid tropical catchment. The objectives were to relate hydrological responses to runoff generation mechanisms operating in the catchment and to estimate the uncertainty associated with runoff prediction. Field observations indicated that water tables were not parallel to the surface topography, particularly at the start of the wet season. A reference topographic index λ~REF~ was therefore introduced into the TOPMODEL structure to increase the weighting of local storage deficits in upland areas. The model adaptation had the effect of deepening water tables with distance from the river channel. The generalized likelihood uncertainty estimation (GLUE) framework was used to assess the performance of the model with randomly selected parameter sets, and to set simulation confidence limits. The model simulated well the fast subsurface and overland flow events superimposed on the seasonal rise and fall of the baseflow. The top ranked parameter sets achieved modelling efficiencies of 0·943 and 0·849 in 1994 and 1995 respectively. The GLUE analysis showed that the exponential decay parameter m, controlling the baseflow and the local storage deficit, was the most sensitive parameter. There was increased uncertainty in the simulations of storm events during the early and late phases of the season, which was due to a combination of: errors in detecting the rainfall depths for convectional rainfall events; the treatment of rainfall as a catchment areal value; and, the strong seasonality in runoff response in the humid tropics. Copyright © 2002 John Wiley & Sons, Ltd.
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