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| Titel |
Statistical analysis of error propagation from radar rainfall to hydrological models |
| VerfasserIn |
D. Zhu, D. Z. Peng, I. D. Cluckie |
| 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 ; 17, no. 4 ; Nr. 17, no. 4 (2013-04-17), S.1445-1453 |
| Datensatznummer |
250018849
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| Publikation (Nr.) |
 copernicus.org/hess-17-1445-2013.pdf |
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| Zusammenfassung |
| This study attempts to characterise the manner with which inherent error in
radar rainfall estimates input influence the character of the stream flow
simulation uncertainty in validated hydrological modelling. An artificial
statistical error model described by Gaussian distribution was developed to
generate realisations of possible combinations of normalised errors and
normalised bias to reflect the identified radar error and temporal
dependence. These realisations were embedded in the 5 km/15 min UK Nimrod
radar rainfall data and used to generate ensembles of stream flow
simulations using three different hydrological models with varying degrees
of complexity, which consists of a fully distributed physically-based model
MIKE SHE, a semi-distributed, lumped model TOPMODEL and the unit hydrograph
model PRTF. These
models were built for this purpose and applied to the Upper Medway Catchment
(220 km2) in South-East England. The results show that the normalised
bias of the radar rainfall estimates was enhanced in the simulated stream
flow and also the dominate factor that had a significant impact on stream
flow simulations. This preliminary radar-error-generation model could be
developed more rigorously and comprehensively for the error characteristics
of weather radars for quantitative measurement of rainfall. |
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