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| Titel |
Evaluation of radar-gauge merging methods for quantitative precipitation estimates |
| VerfasserIn |
E. Goudenhoofdt, L. Delobbe |
| 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. 2 ; Nr. 13, no. 2 (2009-02-18), S.195-203 |
| Datensatznummer |
250011761
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| Publikation (Nr.) |
 copernicus.org/hess-13-195-2009.pdf |
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| Zusammenfassung |
| Accurate quantitative precipitation estimates are of crucial importance for
hydrological studies and applications. When spatial precipitation fields are
required, rain gauge measurements are often combined with weather radar
observations. In this paper, we evaluate several radar-gauge merging methods
with various degrees of complexity: from mean field bias correction to
geostatistical merging techniques. The study area is the Walloon region of
Belgium, which is mostly located in the Meuse catchment. Observations from a
C-band Doppler radar and a dense rain gauge network are used to estimate
daily rainfall accumulations over this area. The relative performance of the
different merging methods are assessed through a comparison against daily
measurements from an independent gauge network. A 4-year verification is
performed using several statistical quality parameters. It appears that the
geostatistical merging methods perform best with the mean absolute error
decreasing by 40% with respect to the original data. A mean field bias
correction still achieves a reduction of 25%. A seasonal analysis shows that
the benefit of using radar observations is particularly significant during
summer. The effect of the network density on the performance of the methods
is also investigated. For this purpose, a simple approach to remove gauges
from a network is proposed. The analysis reveals that the sensitivity is
relatively high for the geostatistical methods but rather small for the
simple methods. The geostatistical merging methods give the best results for all
tested network densities and their relative benefit increases with the network density. |
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