Physically based and spatially distributed modelling of catchment hydr
ology involves the estimation of block or whole-hillslope permeabiliti
es. Invariably these estimates are derived by calibration against rain
fall-runoff response. Rarely are these estimates rigorously compared w
ith parameter measurements made at the small scale. This study uses a
parametrically simple model, TOPMODEL, and an uncertainty framework to
derive permeability at the catchment scale. The utility of expert kno
wledge of the internal catchment dynamics (i.e. extent of saturated ar
ea) in constraining parameter uncertainty is demonstrated. Model-deriv
ed estimates are then compared with core-based measurements of permeab
ility appropriately up-scaled. The observed differences between the pe
rmeability estimates derived by the two methods might be attributed to
the role of intermediate scale features (natural soil pipes). An alte
rnative method of determining block permeabilities at the intermediate
or hillslope scale is described. This method uses pulse-wave tests an
d explicitly incorporates the resultant effects of phenomena such as s
oil piping and kinematic wave migration. The study aims to highlight i
ssues associated with parameterizing or validating distributed models,
rather than to provide a definitive solution. The fact that the perme
ability distribution within the Borneo study catchment is comparativel
y simple, assists the comparisons. The field data were collected in te
rrain covered by equatorial rainforest. Combined field measurement and
modelling programmes are rare within such environments. (C) 1998 John
Wiley gr Sons, Ltd.