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| Titel |
Non-Climate Long Term Memory in Tree Ring Proxies |
| VerfasserIn |
Huan Zhang, Naiming Yuan, Juerg Luterbacher, Elena Xoplaki, Johannes Werner |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250113644
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| Publikation (Nr.) |
 EGU/EGU2015-13859.pdf |
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| Zusammenfassung |
| Long term memory (LTM) scaling behavior in tree-ring proxies and regional mean
temperature/rainfall reconstructions has been analyzed and compared with the ones found in
instrumental temperature and rainfall records. Detrended fluctuation analysis is employed to
detect LTM, and its scaling exponent α is used to measure LTM. The results show mean
α = 0.8 in tree-ring width records, and mean α = 0.7 in tree-ring maximum density
from 1yr up to 100yrs, while α ≈ 0.6 (α = 0.5) is found in instrumental data of
temperature (rainfall). By comparing the no-memory data (α = 0.5) with data with
artificial LTM (α > 0.5), we demonstrate the potential influences of LTM on climate
reconstructions and call special cautions in the variability analysis of proxy chronologies or
reconstructions, especially in quantifying: i) trends; ii) climate anomalies; iii) extreme events. |
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