Special Section: Scale Problems in Hydrology
Spatial and temporal variability in the R-5 infiltration data set: Déjà vu and rainfall-runoff simulations
Article first published online: 9 JUL 2010
Copyright 1997 by the American Geophysical Union.
Water Resources Research
Volume 33, Issue 12, pages 2883–2895, December 1997
How to Cite
1997), Spatial and temporal variability in the R-5 infiltration data set: Déjà vu and rainfall-runoff simulations, Water Resour. Res., 33(12), 2883–2895, doi:10.1029/97WR01093., and (
- Issue published online: 9 JUL 2010
- Article first published online: 9 JUL 2010
- Manuscript Accepted: 14 APR 1997
- Manuscript Received: 17 DEC 1996
This paper is a continuation of the event-based rainfall-runoff model evaluation study reported by Loague and Freeze [1985[. Here we reevaluate the performance of a quasi-physically based rainfall-runoff model for three large events from the well-known R-5 catchment. Five different statistical criteria are used to quantitatively judge model performance. Temporal variability in the large R-5 infiltration data set [Loague and Gander, 1990] is filtered by working in terms of permeability. The transformed data set is reanalyzed via geostatistical methods to model the spatial distribution of permeability across the R-5 catchment. We present new estimates of the spatial distribution of infiltration that are in turn used in our rainfall-runoff simulations with the Horton rainfall-runoff model. The new rainfall-runoff simulations, complicated by reinfiltration impacts at the smaller scales of characterization, indicate that the near-surface hydrologic response of the R-5 catchment is most probably dominated by a combination of the Horton and Dunne overland flow mechanisms.