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| Titel |
Variability of extreme precipitation over Europe and its relationships with teleconnection patterns |
| VerfasserIn |
A. Casanueva, C. Rodríguez-Puebla, M. D. Frias, N. González-Reviriego |
| 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. 2 ; Nr. 18, no. 2 (2014-02-19), S.709-725 |
| Datensatznummer |
250120286
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| Publikation (Nr.) |
 copernicus.org/hess-18-709-2014.pdf |
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| Zusammenfassung |
A growing interest in extreme precipitation has spread through the scientific
community due to the effects of global climate change on the hydrological
cycle, and their threat to natural systems' higher than average climatic values.
Understanding the variability of precipitation indices and their association
to atmospheric processes could help to project the frequency and severity of
extremes. This paper evaluates the trend of three precipitation extremes: the
number of consecutive dry/wet days (CDD/CWD) and the quotient of the
precipitation in days where daily precipitation exceeds the 95th percentile
of the reference period and the total amount of precipitation (or
contribution of very wet days, R95pTOT). The aim of this study is twofold.
First, extreme indicators are compared against accumulated precipitation (RR)
over Europe in terms of trends using non-parametric approaches. Second, we
analyse the geographically opposite trends found over different parts of Europe
by considering their relationships with large-scale processes, using
different teleconnection patterns. The study is accomplished for the four
seasons using the gridded E-OBS data set developed within the EU ENSEMBLES
project.
Different patterns of variability were found for CWD and CDD in winter and
summer, with north–south and east–west configurations, respectively. We
consider physical factors in order to understand the extremes' variability by
linking large-scale processes and precipitation extremes. Opposite
associations with the North Atlantic Oscillation in winter and summer, and
the relationships with the Scandinavian and East Atlantic patterns as well as
El Niño/Southern Oscillation events in spring and autumn gave insight
into the trend differences. Significant relationships were found between the
Atlantic Multidecadal Oscillation and R95pTOT during the whole year. The
largest extreme anomalies were analysed by composite maps using atmospheric
variables and sea surface temperature. The association of extreme
precipitation indices and large-scale variables found in this work could pave
the way for new possibilities regarding the projection of extremes in
downscaling techniques. |
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