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| Titel |
The Annual Cycle of Complexity in the Fractal Properties of Japanese Air Temperature Records |
| VerfasserIn |
Reik Donner, Noboru Tanizuka, Takahide Sakamoto |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250043103
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| Zusammenfassung |
| Fractal dimensions have already been extensively used for characterising the properties of long-term temperature records. In this study, we investigate whether different estimators can also be used for the detection of temporally varying dynamical complexity in such time series, in particular, interannual variations of fractality. As a particularly promising approach, we compute dimension estimates based on principal component analysis (PCA) as well as its univariate form, the singular system analysis (SSA), in order to quantify the variable strength of spatial and temporal correlations among a set of temperature records from Japan.
In order to decide whether or not there is a statistically significant relationship between varying fractal properties of the time series and large-scale climatological phenomena acting on considerably longer time scales, we apply different linear as well as nonlinear methods of time series analysis. Our results are critically compared with those obtained from similar data sets covering other regions of the world, providing information about the potential sensitivity of short- and intermediate-term nonlinear climate variability in different regions to corresponding long-term variations. |
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