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Trends in Swiss Alpine snow days: The role of local‐ and large‐scale climate variability
Author(s) -
Scherrer Simon C.,
Appenzeller Christof,
Laternser Martin
Publication year - 2004
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2004gl020255
Subject(s) - climatology , north atlantic oscillation , precipitation , snow , environmental science , climate model , altitude (triangle) , climatic variability , scale (ratio) , snow cover , climate change , physical geography , atmospheric sciences , geology , geography , meteorology , oceanography , geometry , mathematics , cartography
Swiss Alpine snow cover is varying substantially on interannual to decadal time scales. In the late 20th century decreases in snow days (SD) have been observed for stations below 1300 m asl. A regression model is used in this work to quantify the importance of mean temperature and precipitation as well as large‐scale climate variability in order to explain the observed trends. Both, local‐ and large‐scale models account for a modest fraction of the observed seasonal variability. Results suggest that the recent decrease in low altitude snow cover can mainly be attributed to an increase in temperature. Differences are found for northern and southern Switzerland concerning the influence of large‐scale climate patterns. In contrast to southern Alpine regions, northern Alpine interannual SD variability is almost unaffected by the North Atlantic Oscillation (NAO). Decadal trends, however, can be explained via temperature only by a model that includes the explanatory variable NAO.