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| Titel |
Gauging the ungauged basin: how many discharge measurements are needed? |
| VerfasserIn |
J. Seibert, K. J. Beven  |
| 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 ; 13, no. 6 ; Nr. 13, no. 6 (2009-06-22), S.883-892 |
| Datensatznummer |
250011903
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| Publikation (Nr.) |
 copernicus.org/hess-13-883-2009.pdf |
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| Zusammenfassung |
| Runoff estimation in ungauged catchments is probably one of the most basic
and oldest tasks of hydrologists. This long-standing issue has received
increased attention recently due to the PUB (Prediction in Ungauged Basins)
initiative. Given the challenges of predicting runoff for ungauged
catchments one might argue that the best course of action is to take a few
runoff measurements. In this study we explored how implementing such a
procedure might support predictions in an ungauged basin. We used a number
of monitored Swedish catchments as hypothetical ungauged basins where we
pretended to start with no runoff data and then added different sub-sets of
the available data to constrain a simple catchment model. These sub-sets
consisted of a limited number of single runoff measurements; in other words
these data represent what could be measured with limited efforts in an
ungauged basin. We used a Monte Carlo approach and predicted runoff as a
weighted ensemble mean of simulations using acceptable parameter sets. We
found that the ensemble prediction clearly outperformed the predictions
using single parameter sets and that surprisingly little runoff data was
necessary to identify model parameterizations that provided good results for
the "ungauged" test periods. These results indicated that a few runoff
measurements can contain much of the information content of continuous
runoff time series. However, the study also indicated that results may
differ significantly between catchments and also depend on the days chosen
for taking the measurements. |
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