2000
DOI: 10.1029/1999gl011045
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Can we trust proxy‐based NAO index reconstructions?

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Cited by 168 publications
(83 citation statements)
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“…Possible physical causes for time-dependent relationships have also been proposed (Schmutz et al 2000;Cullen et al 2000;LUT). Ancient changes in the locations of the NAO centers, similar to the recent shift of the NAO in the 1970s (Hilmer and Jung 2000), would disturb the stationarity assumption of the NAO-proxy relations.…”
Section: Discussionmentioning
confidence: 99%
“…Possible physical causes for time-dependent relationships have also been proposed (Schmutz et al 2000;Cullen et al 2000;LUT). Ancient changes in the locations of the NAO centers, similar to the recent shift of the NAO in the 1970s (Hilmer and Jung 2000), would disturb the stationarity assumption of the NAO-proxy relations.…”
Section: Discussionmentioning
confidence: 99%
“…[3] Existing NAO reconstructions based on direct instrumental [Jones et al, 1997] and documentary records of atmospheric pressure [Luterbacher et al, 2002], supplemented by proxy records of rainfall and/or temperature variations from tree rings [Cook et al, 1998] and ice cores [Appenzeller et al, 1998;Barlow, 2001;Vinther et al, 2003] extend pre-instrumental NAO behaviour back to 1429 A.D.; however, considerable disagreement exists between reconstructions [Schmutz et al, 1999]. Recently, NAO variability on longer timescales was inferred from westerly transported fine-grained loess deposits that exhibit increased accumulation during glacial periods [e.g., Vandenberghe et al, 2006].…”
Section: Introductionmentioning
confidence: 99%
“…This could imply that European temperature-sensitive proxies are not adequate for NAOI reconstructions. We suggest that this might be one of the reasons for the disagreement among the different NAOI reconstructions put forward in the literature to date [Schmutz et al, 1999]. Table 1 …”
Section: Discussionmentioning
confidence: 95%
“…The possible divergences in the reconstructions caused by the use of annual or monthly means are not considered here [Appenzeller et al, 1998;Cook et al, 1998;Luterbacher et al, 1999].…”
Section: Climate Model and Statistical Modelmentioning
confidence: 99%
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