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| Titel |
Extracting a common high frequency signal from Northern Quebec black spruce tree-rings with a Bayesian hierarchical model |
| VerfasserIn |
J.-J. Boreux, P. Naveau, O. Guin, L. Perreault, J. Bernier |
| 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 ; 5, no. 4 ; Nr. 5, no. 4 (2009-10-14), S.607-613 |
| Datensatznummer |
250002691
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| Publikation (Nr.) |
 copernicus.org/cp-5-607-2009.pdf |
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| Zusammenfassung |
| One basic premise of dendroclimatology is that tree rings can be viewed as climate proxies,
i.e. rings are assumed to contain some hidden information about past climate.
From a statistical perspective, this extraction problem can be understood as the search of a hidden variable which
represents the common signal within a collection of tree-ring width series.
Classical average-based techniques used in dendrochronology
have been applied to estimate the mean behavior of this latent variable.
Still, depending on tree species, regional factors and statistical methods,
a precise quantification of uncertainties associated to the hidden variable distribution is difficult to assess.
To model the error propagation throughout the extraction procedure, we propose and
study a Bayesian hierarchical model that focuses on extracting an inter-annual high frequency signal.
Our method is applied to black spruce (Picea mariana) tree-rings recorded in
Northern Quebec and compared to a classical average-based techniques used by
dendrochronologists (Cook and Kairiukstis, 1992). |
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