Interannual variability of Central European mean temperature in January-February and its relation to large-scale circulation
The Central European temperature distribution field, as given by 11 stations [Fano, Hamburg, Potsdam, Jena, Frankfurt, Uccle, Hohenpeissenberg, Praha (Prague), Wien (Vienna), Zurich and Geneve (Geneva)], is analyzed with respect to its year-to-year variability. January-February (JF) average temperat...
| Published in: | Climate Research |
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| Main Authors: | , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
1993
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| Subjects: | |
| Online Access: | http://hdl.handle.net/21.11116/0000-0001-87E4-5 http://hdl.handle.net/21.11116/0000-0001-87E6-3 http://hdl.handle.net/21.11116/0000-0001-87E7-2 |
| Summary: | The Central European temperature distribution field, as given by 11 stations [Fano, Hamburg, Potsdam, Jena, Frankfurt, Uccle, Hohenpeissenberg, Praha (Prague), Wien (Vienna), Zurich and Geneve (Geneva)], is analyzed with respect to its year-to-year variability. January-February (JF) average temperatures are considered for the interval 1901-1980. An Empirical Orthogonal Function (EOF) analysis reveals that the JF temperature variability is almost entirely controlled by one entirely positive EOF. The relationship of the temperature field to large-scale circulation, represented by the North Atlantic/European sea-level pressure (SLP) field, is investigated by means of a Canonical Correlation Analysis (CCA). Two CCA pairs are identified which account for most of the temperature year-to-year variance. The CCA pairs fail, however, to consistently link the long-term temperature trends to changes in the large-scale circulation. -from Authors |
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