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| Titel |
Application of rainfall estimates using radar-raingauge merging techniques for hydrological simulations |
| VerfasserIn |
Nergui Nanding, Miguel Angel Rico-Ramirez, Dawei Han |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250104643
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| Publikation (Nr.) |
 EGU/EGU2015-5257.pdf |
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| Zusammenfassung |
| Rainfall estimates by weather radar have become an important alternative to raingauge
measurements for hydrological modelling over poorly gauged catchments, due to its
capability for providing spatially distributed rainfall with a high resolution in space and time.
However, the potential of radar rainfall estimates has often been limited by a variety of source
of errors. More recently, research has proven that by combining radar rainfall estimates with
raingauge measurements it is possible to obtain better rainfall estimates that are also able to
capture the spatial precipitation variability. However, the impact of using merged rainfall
products as compared with conventional raingauge inputs, with respect to various
hydrological model structures and catchment areas, remains unclear and yet to be
addressed. In the study presented by this paper, we analysed the flow simulations of
different sized catchments across Northern England using rainfall inputs from different
radar-raingauge merging techniques, such as Kriging with radar-based correction
(KRE) and Kriging with external drift (KED). Rainfall was estimated at an hourly
timescale and therefore rainfall estimates obtained from different radar-gauge merging
techniques at hourly resolution are incorporated into hydrological models so that direct
comparison of streamflows can be explored. The main purpose of this paper is to
examine whether these merged rainfall estimates are useful as input to rainfall-runoff
models over rural catchment areas, focusing on the improvement of rainfall estimates
by radar-raingauge merging techniques for runoff predictions rather than on the
rainfall estimates themselves in relation to the catchments sizes and storm events. |
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