Temperature reconstructions and comparisons with instrumental data from a tree-ring network for the European Alps

被引:100
作者
Frank, D [1 ]
Esper, J [1 ]
机构
[1] Swiss Fed Res Inst WSL, Birmensdorf, Switzerland
关键词
dendrochronology; dendroclimatology; temperature reconstruction; Alps; instrumental data; tree-ring width; maximum latewood density;
D O I
10.1002/joc.1210
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Ring-width and maximum latewood density data from a network of high-elevation sites distributed across the European Alps are used to reconstruct regional temperatures. The network integrates 53 ring-width and 31 density chronologies from stands of four species all located above 1500 in a.s.l. The development and basic climatic response patterns of this network are described elsewhere (Frank and Esper, 2005). The common temperature signal over the study region allowed regional reconstructions to be developed using principal component regression models for average June-August (1600-1988) and April-September (1650-1987) temperatures front ring-width and density records, respectively. Similar climatic histories are derived for both seasons, but with the ring-width and density-based reconstructions seemingly weighted toward carrying more of their variance in the lower and higher frequency dornains, respectively. Distinct warm decades are the 1940s, 1860s, 1800s, 1730s, 1660s and the 16 1 Os, and cold decades, the 1910s, 1810s, 1710s, 1700s and the 1690s. Because of the model fitting and the shorter time spans involved, comparisons between the reconstructions with high-elevation instrumental data during the majority of the 1864-1972 calibration period show good agreement. Yet, prior to this period, from which only a few low elevation temperature records are available, a trend divergence between tree-ring and instrumental records is observed. We present evidence that this divergence may be explained by the ring-width data carrying more of an annual rather than warm-season signal in the lower frequency domain. Other factors such as noise, tree-ring standardization, or the more uncertain nature of low-frequency trends in early instrumental records and their homogenization, might help explain this divergence as well. Copyright (c) 2005 Royal Meteorological Society.
引用
收藏
页码:1437 / 1454
页数:18
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