 |
| Titel |
A top-down model to generate ensembles of runoff from a large number of hillslopes |
| VerfasserIn |
P. R. Furey, V. K. Gupta, B. M. Troutman |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1023-5809
|
| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 20, no. 5 ; Nr. 20, no. 5 (2013-09-25), S.683-704 |
| Datensatznummer |
250086049
|
| Publikation (Nr.) |
 copernicus.org/npg-20-683-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| We hypothesize that total hillslope water loss for a rainfall–runoff event is
inversely related to a function of a lognormal random variable, based on
basin- and point-scale observations taken from the 21 km2 Goodwin Creek
Experimental Watershed (GCEW) in Mississippi, USA. A top-down approach is
used to develop a new runoff generation model both to test our
physical-statistical hypothesis and to provide a method of generating
ensembles of runoff from a large number of hillslopes in a basin. The model
is based on the assumption that the probability distributions of a
runoff/loss ratio have a space–time rescaling property. We test this
assumption using streamflow and rainfall data from GCEW. For over 100
rainfall–runoff events, we find that the spatial probability distributions of
a runoff/loss ratio can be rescaled to a new distribution that is common to
all events. We interpret random within-event differences in runoff/loss
ratios in the model to arise from soil moisture spatial variability.
Observations of water loss during events in GCEW support this interpretation.
Our model preserves water balance in a mean statistical sense and supports
our hypothesis. As an example, we use the model to generate ensembles of
runoff at a large number of hillslopes for a rainfall–runoff event in GCEW. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|