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| Titel |
Simulation of extreme precipitation in the Rhine basin by nearest-neighbour resampling |
| VerfasserIn |
T. Brandsma, T. A. Buishand |
| 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 ; 2, no. 2/3 ; Nr. 2, no. 2/3, S.195-209 |
| Datensatznummer |
250000348
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| Publikation (Nr.) |
 copernicus.org/hess-2-195-1998.pdf |
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| Zusammenfassung |
| The use of the nonparametric nearest-neighbour resampling technique is studied
for generating time series of daily rainfall and temperature for seven stations in the
German part of the Rhine basin. The emphasis is on the reproduction of extreme N-day
precipitation amounts. The daily temperatures are used to determine snow accumulation and
melt in winter. Two versions of the resampling method, conditional on the atmospheric
circulation and unconditional, show comparable results. For precipitation, the
autocorrelation properties are well reproduced, whereas for temperature the
autocorrelation coefficients are systematically underpredicted. The distributions of the
N-day annual maximum precipitation amounts are adequately preserved. Despite the
systematic underprediction of the temperature autocorrelation, the distributions of N-day
maximum snowmelt are well reproduced. A 1000-year simulation for the seven stations shows
that unprecedented rainfall situations can be generated. |
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