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| Titel |
Statistical issues about solar–climate relations |
| VerfasserIn |
P. Yiou, E. Bard, P. Dandin, B. Legras, P. Naveau, H. W. Rust, L. Terray, M. Vrac |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1814-9324
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| Digitales Dokument |
URL |
| Erschienen |
In: Climate of the Past ; 6, no. 5 ; Nr. 6, no. 5 (2010-09-08), S.565-573 |
| Datensatznummer |
250003755
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| Publikation (Nr.) |
 copernicus.org/cp-6-565-2010.pdf |
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| Zusammenfassung |
| The relationship between solar activity and temperature variation is a
frequently discussed issue in climatology. This relationships is
usually hypothesized on the basis of statistical analyses of temperature
time series and time series related to solar activity. Recent studies
(Le Mouël et al., 2008, 2009; Courtillot et al., 2010) focus on the
variabilities of temperature and solar activity records to identify their relationships.
We discuss the meaning of such analyses and propose a general framework to test the statistical
significance for these variability-based analyses. This approach is
illustrated using European temperature data sets and geomagnetic field
variations. We show that tests for significant correlation between observed temperature
variability and geomagnetic field variability is hindered by a low
number of degrees of freedom introduced by excessively smoothing the
variability-based statistics. |
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