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| Titel |
Technical Note: Long-term memory effect in the atmospheric CO2 concentration at Mauna Loa |
| VerfasserIn |
C. Varotsos, M.-N. Assimakopoulos, M. Efstathiou |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 7, no. 3 ; Nr. 7, no. 3 (2007-02-09), S.629-634 |
| Datensatznummer |
250004553
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| Publikation (Nr.) |
 copernicus.org/acp-7-629-2007.pdf |
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| Zusammenfassung |
| The monthly mean values of the atmospheric carbon dioxide
concentration derived from in-situ air samples collected at Mauna Loa
Observatory, Hawaii, USA during 1958–2004 (the longest continuous record
available in the world) are analyzed by employing the detrended fluctuation
analysis to detect scaling behavior in this time series. The main result is
that the fluctuations of carbon dioxide concentrations exhibit long-range
power-law correlations (long memory) with lag times ranging from four months
to eleven years, which correspond to 1/f noise. This result indicates that
random perturbations in the carbon dioxide concentrations give rise to
noise, characterized by a frequency spectrum following a power-law with
exponent that approaches to one; the latter shows that the correlation times
grow strongly. This feature is pointing out that a correctly rescaled subset
of the original time series of the carbon dioxide concentrations resembles
the original time series. Finally, the power-law relationship derived from
the real measurements of the carbon dioxide concentrations could also serve
as a tool to improve the confidence of the atmospheric chemistry-transport
and global climate models. |
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