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| Titel |
Summarising changes in air temperature over Central Europe by quantile regression and clustering |
| VerfasserIn |
S. M. Barbosa, M. G. Scotto, A. M. Alonso |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 11, no. 12 ; Nr. 11, no. 12 (2011-12-09), S.3227-3233 |
| Datensatznummer |
250009828
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| Publikation (Nr.) |
 copernicus.org/nhess-11-3227-2011.pdf |
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| Zusammenfassung |
| The analysis of trends in air temperature observations is one of the most
common activities in climate change studies. This work examines the changes
in daily mean air temperature over Central Europe using quantile regression,
which allows the estimation of trends, not only in the mean but in all parts of the
data distribution. A bootstrap procedure is applied for assessing uncertainty
on the derived slopes and the resulting distributions are summarised via
clustering. The results show considerable spatial diversity over the central
European region. A distinct behaviour is found for lower (5%) and upper
(95%) quantiles, with higher trends around
0.15 °C decade−1 at the 5% quantile and around
0.20 °C decade−1 at the 95% quantile, the largest trends
(>0.2 °C decade−1) occurring in the Alps. |
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