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| Titel |
Catchments as space-time filters – a joint spatio-temporal geostatistical analysis of runoff and precipitation |
| VerfasserIn |
J. O. Skøien, G. Blöschl |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 10, no. 5 ; Nr. 10, no. 5 (2006-09-26), S.645-662 |
| Datensatznummer |
250008191
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| Publikation (Nr.) |
 copernicus.org/hess-10-645-2006.pdf |
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| Zusammenfassung |
| In this paper catchments are conceptualised as linear space-time filters.
Catchment area A is interpreted as the spatial support and the catchment
response time T is interpreted as the temporal support of the runoff
measurements. These two supports are related by T~Aκ which
embodies the space-time connections of the rainfall-runoff process from a
geostatistical perspective. To test the framework, spatio-temporal
variograms are estimated from about 30 years of quarter hourly precipitation
and runoff data from about 500 catchments in Austria. In a first step,
spatio-temporal variogram models are fitted to the sample variograms for
three catchment size classes independently. In a second step, variograms are
fitted to all three catchment size classes jointly by estimating the
parameters of a point/instantaneous spatio-temporal variogram model and
aggregating (regularising) it to the spatial and temporal scales of the
catchments. The exponential, Cressie-Huang and product-sum variogram models
give good fits to the sample variograms of runoff with dimensionless errors
ranging from 0.02 to 0.03, and the model parameters are plausible. This
indicates that the first order effects of the spatio-temporal variability of
runoff are indeed captured by conceptualising catchments as linear
space-time filters. The scaling exponent κ is found to vary between 0.3 and
0.4 for different variogram models. |
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