2005
DOI: 10.1002/joc.1215
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Extracting long‐period climate fluctuations from tree‐ring chronologies over timescales of centuries to millennia

Abstract: For a long time, tree-rings have been thought of as containing almost no variation at timescales of centuries and millennia, i.e. at low frequencies. Here, we show that this might be an issue of data analysis rather than an actual lack of variability. A data set of subfossil and living Scots pines from northern Fennoscandia was examined by means of their ring-width time series. The premise was that the growth trends of individual time series could be quantitatively determined and decomposed into their differen… Show more

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Cited by 57 publications
(57 citation statements)
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References 43 publications
(78 reference statements)
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“…Moreover, NAOindex, which describes the oscillation of atmospheric mass between the Arctic (Iceland) and the subtropical Atlantic (Azores), was used because it markedly dictates winter climate in northwest Europe (Hurrell et al 2001). The reconstructed NAO-index of Luterbacher et al (2002) since 1659 and two types of tree-ring chronologies of Scots pine (Pinus sylvestris L.) from northern Fennoscandia were used: tree-ring width chronology of Helama et al (2005) and maximum density chronology of Briffa et al (1990). These three datasets were integrated into one palaeoclimatic model using a linear regression to reconstruct annual mean temperature (in Celsius) in the study region (Helle & Helama 2007).…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, NAOindex, which describes the oscillation of atmospheric mass between the Arctic (Iceland) and the subtropical Atlantic (Azores), was used because it markedly dictates winter climate in northwest Europe (Hurrell et al 2001). The reconstructed NAO-index of Luterbacher et al (2002) since 1659 and two types of tree-ring chronologies of Scots pine (Pinus sylvestris L.) from northern Fennoscandia were used: tree-ring width chronology of Helama et al (2005) and maximum density chronology of Briffa et al (1990). These three datasets were integrated into one palaeoclimatic model using a linear regression to reconstruct annual mean temperature (in Celsius) in the study region (Helle & Helama 2007).…”
Section: Methodsmentioning
confidence: 99%
“…This effect is confirmed by the RC's of the pines analyzed in this study, where also the wet micro-site shows less wood production compared to the dry site. The flat wet_RC mimics characteristics of suppressed growth in closed canopy stands (Helama et al 2005). …”
Section: Growth Rate Differencesmentioning
confidence: 99%
“…Contrasting the new palaeoclimate information with existing tree-ring based summer temperature reconstructions from northern Finland and Fennoscandia (Helama et al, 2009a(Helama et al, , 2009b(Helama et al, , 2010aEsper et al, 2012) enables the north-south comparison of temperature variations on annual resolution. It outlines the spatial palaeoclimate variations in the region where previous palaeoclimate research have highlighted notable climatic shifts through the Medieval Climate Anomaly to Little Ice Age (Grudd et al, 2002;Helama et al, 2005bHelama et al, , 2009aHelama et al, , 2009bHelama et al, , 2010aGunnarson et al, 2011;Esper et al, 2012) during the past thirteen centuries.…”
Section: Introductionmentioning
confidence: 99%