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| Titel |
Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model |
| VerfasserIn |
A. Atencia, L. Mediero, M. C. Llasat, L. Garrote |
| 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 ; 15, no. 12 ; Nr. 15, no. 12 (2011-12-21), S.3809-3827 |
| Datensatznummer |
250013058
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| Publikation (Nr.) |
 copernicus.org/hess-15-3809-2011.pdf |
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| Zusammenfassung |
| The performance of a hydrologic model depends on the rainfall input data,
both spatially and temporally. As the spatial distribution of rainfall exerts
a great influence on both runoff volumes and peak flows, the use of a
distributed hydrologic model can improve the results in the case of
convective rainfall in a basin where the storm area is smaller than the basin
area. The aim of this study was to perform a sensitivity analysis of the
rainfall time resolution on the results of a distributed hydrologic model in
a flash-flood prone basin. Within such a catchment, floods are produced by
heavy rainfall events with a large convective component. A second objective
of the current paper is the proposal of a methodology that improves the radar
rainfall estimation at a higher spatial and temporal resolution. Composite
radar data from a network of three C-band radars with 6-min temporal and
2 × 2 km2 spatial resolution were used to feed the RIBS
distributed hydrological model. A modification of the Window Probability
Matching Method (gauge-adjustment method) was applied to four cases of heavy
rainfall to improve the observed rainfall sub-estimation by computing new Z/R
relationships for both convective and stratiform reflectivities. An advection
correction technique based on the cross-correlation between two consecutive
images was introduced to obtain several time resolutions from 1 min to
30 min. The RIBS hydrologic model was calibrated using a probabilistic
approach based on a multiobjective methodology for each time resolution. A
sensitivity analysis of rainfall time resolution was conducted to find the
resolution that best represents the hydrological basin behaviour. |
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