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  Interannual variability of Central European mean temperature in January-February and its relation to large-scale circulation

Werner, P. C., & Von Storch, H. (1993). Interannual variability of Central European mean temperature in January-February and its relation to large-scale circulation. Climate Research, 3, 195-207. doi:10.3354/cr003195.

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 Creators:
Werner, Peter C.1, Author
Von Storch, Hans2, Author
Affiliations:
1Potsdam-Institut für Klimafolgenforschung, 11412 Potsdam, DE, ou_persistent22              
2MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913545              

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Free keywords: Empirical Orthogonal Function; interannual variability; temperature (1901-1980), Europe
 Abstract: 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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Language(s): eng - English
 Dates: 1993
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3354/cr003195
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Title: Climate Research
  Other : Clim. Res.
Source Genre: Journal
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Publ. Info: Amelinghausen, Germany : Inter-Research
Pages: - Volume / Issue: 3 Sequence Number: - Start / End Page: 195 - 207 Identifier: ISSN: 0936-577X
CoNE: https://pure.mpg.de/cone/journals/resource/954925570857

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Title: Report / Max-Planck-Institut für Meteorologie
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Publ. Info: Hamburg : Max-Planck-Institut für Meteorologie
Pages: - Volume / Issue: 101 Sequence Number: - Start / End Page: - Identifier: -