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| Titel |
Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures |
| VerfasserIn |
D. Zhu, Y. Xuan, I. 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 ; 18, no. 1 ; Nr. 18, no. 1 (2014-01-21), S.257-272 |
| Datensatznummer |
250120256
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| Publikation (Nr.) |
 copernicus.org/hess-18-257-2014.pdf |
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| Zusammenfassung |
| Radar rainfall estimates have become increasingly available for hydrological
modellers over recent years, especially for flood forecasting and warning
over poorly gauged catchments. However, the impact of using radar rainfall
as compared with conventional raingauge inputs, with respect to various
hydrological model structures, remains unclear and yet to be addressed. In
the study presented by this paper, we analysed the flow simulations of the
upper Medway catchment of southeast England using the UK NIMROD radar
rainfall estimates, using three hydrological models based upon three very
different structures (e.g. a physically based distributed MIKE SHE model, a
lumped conceptual model PDM and an event-based unit hydrograph model PRTF).
We focused on the sensitivity of simulations in relation to the storm types
and various rainfall intensities. The uncertainty in radar rainfall
estimates, scale effects and extreme rainfall were examined in order to
quantify the performance of the radar. We found that radar rainfall
estimates were lower than raingauge measurements in high rainfall rates; the
resolutions of radar rainfall data had insignificant impact at this
catchment scale in the case of evenly distributed rainfall events but was
obvious otherwise for high-intensity, localised rainfall events with great
spatial heterogeneity. As to hydrological model performance, the distributed
model had consistent reliable and good performance on peak simulation with
all the rainfall types tested in this study. |
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