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| Titel |
Weather regime dependence of extreme value statistics for summer temperature and precipitation |
| VerfasserIn |
P. Yiou, K. Goubanova, Z. X. Li, M. Nogaj |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 15, no. 3 ; Nr. 15, no. 3 (2008-05-06), S.365-378 |
| Datensatznummer |
250012653
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| Publikation (Nr.) |
 copernicus.org/npg-15-365-2008.pdf |
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| Zusammenfassung |
| Extreme Value Theory (EVT) is a useful tool to describe the
statistical properties of extreme events. Its underlying assumptions
include some form of temporal stationarity in the data. Previous
studies
have been able to treat long-term
trends in datasets, to obtain the time dependence of EVT parameters in
a parametric form. Since there is also a dependence of surface
temperature and precipitation to weather patterns obtained
from pressure data,
we determine the EVT parameters of those meteorological variables over
France conditional to the occurrence of North Atlantic weather
patterns in the summer. We use a clustering algorithm on geopotential
height data over the North Atlantic to obtain those patterns. This
approach refines the straightforward application of EVT on climate
data by allowing us to assess the role of atmospheric variability on
temperature and precipitation extreme parameters. This study also
investigates the statistical robustness of this relation. Our results
show how weather regimes can modulate the different behavior of mean
climate variables and their extremes. Such a modulation can be very
different for the mean and extreme precipitation. |
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