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Combining ring width, density and stable carbon isotope proxies to enhance the climate signal in tree-rings: an example from the Southern French alps.

机译:将环的宽度,密度和稳定的碳同位素结合起来,以增强树木年轮中的气候信号:以法国南部阿尔卑斯山为例。

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摘要

At present the most powerful tree-ring based climate reconstructions use high numbers of growth proxy series (ring width and density) to produce spatially smoothed estimates, such as average Northern Hemisphere summer temperatures. These single parameter reconstructions might be supplemented with regional climate reconstructions capable of capturing variability in more than one climate variable without lower replication compromising statistical quality, if multiple tree ring proxies were used. Pinus sylvestris and Pinus uncinata latewood density, width and delta 13C series are presented from two sites in the French subalpine zone, east of Briancon. Where two proxies have the same dominant climate control their combination enhances that signal. Where proxies differ in dominant controlling climate variable, combining series allows access to bi-variable calibrations. Using this approach, multi-proxy reconstructions of both temperature and precipitation would better reflect complex synoptic variability in climate on spatially useful scales..
机译:目前,最有力的基于树轮的气候重建利用大量的增长代数序列(轮幅和密度)来产生空间平滑的估计值,例如北半球夏季平均温度。如果使用多个树环代理,则这些单参数重建可能会与区域气候重建相辅相成,该区域气候重建能够捕获多个气候变量中的变化,而不会降低重复性,从而不影响统计质量。来自Briancon以东的法国亚高山带的两个地点介绍了樟子松和松林晚材的密度,宽度和δ13C系列。如果两个代理具有相同的主要气候控制,则它们的组合会增强该信号。在主要控制气候变量的代理不同的情况下,组合序列可以访问双变量校准。使用这种方法,温度和降水的多代理重建将在空间上有用的尺度上更好地反映气候的复杂天气变化。

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