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| Titel |
Connecting European snow cover variability with large scale atmospheric patterns |
| VerfasserIn |
E. Bartolini, P. Claps, P. D'Odorico |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: 11th EGU Plinius Conference on Mediterranean Storms (2009) ; Nr. 26 (2010-09-01), S.93-97 |
| Datensatznummer |
250015988
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| Publikation (Nr.) |
 copernicus.org/adgeo-26-93-2010.pdf |
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| Zusammenfassung |
| Winter snowfall and its temporal variability are important factors
in the development of water management strategies for
snow-dominated regions. For example, mountain regions of Europe
rely on snow for recreation, and on snowmelt for water supply and
hydropower. It is still unclear whether in these regions the snow
regime is undergoing any major significant change. Moreover, snow
interannual variability depends on different climatic variables,
such as precipitation and temperature, and their interplay with
atmospheric and pressure conditions. This paper uses the EASE
Grid weekly snow cover and Ice Extent database from the National
Snow and Ice Data Center to assess the possible existence of
trends in snow cover across Europe. This database provides a
representation of snow cover fields in Europe for the period
1972–2006 and is used here to construct snow cover indices, both
in time and space. These indices allow us to investigate the
historical spatial and temporal variability of European snow cover
fields, and to relate them to the modes of climate variability
that are known to affect the European climate. We find that both
the spatial and temporal variability of snow cover are strongly
related to the Arctic Oscillation during wintertime. In the other
seasons, weaker correlation appears between snow cover and the
other patterns of climate variability, such as the East Atlantic,
the East Atlantic West Russia, the North Atlantic Oscillation, the
Polar Pattern and the Scandinavian Pattern. |
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