首页> 外文期刊>Palaeogeography, Palaeoclimatology, Palaeoecology: An International Journal for the Geo-Sciences >Tree ring density-based warm-season temperature reconstruction since AD 1610 in the eastern Tibetan Plateau
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Tree ring density-based warm-season temperature reconstruction since AD 1610 in the eastern Tibetan Plateau

机译:自公元1610年以来青藏高原东部基于树轮密度的暖季温度重建

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摘要

Tree-ring samples from purple cone spruce (Picea purpurea) were collected at four sites on the eastern Tibetan Plateau. Maximum latewood density (MXD) was measured by X-ray densitometry and a regional standard chronology was established from the four MXD chronologies using the Regional Curve Standardization (RCS) method. Based on significant correlation between the regional RCS chronology and mean April-September temperature, warm-season (April-September) temperature variability was reconstructed back to 1610 for the eastern Tibetan Plateau. The reconstruction explained 58.5% of the variance in the instrumental period (1961 to 2009). In the past 400 years, there were five cold periods with lower than average and four warm periods with higher than average. The temperature reconstruction captured the unprecedented warming in the 20th century, where the last ten years were the warmest decade in the last 400 years. The Ensemble Empirical Mode Decomposition (EEMD) was used to extract the multi-scale fluctuation of the temperature reconstruction. Four quasi-oscillations with periodicities of 2.2-2.7 years, 5.1-7.9 years, 11.9-15.4 years and 21.8-26.2 years indicated major fluctuations of original temperature. Agreement with other temperature proxies implied a high degree of confidence for our reconstruction and its large-scale spatial representation. The temperature reconstruction showed a warming trend on a longer time scale in the eastern Tibetan Plateau. (C) 2015 Elsevier B.V. All rights reserved.
机译:从青藏高原东部的四个地点采集了紫色锥状云杉(Picea purpurea)的年轮样品。通过X射线光密度法测量最大胶木密度(MXD),并使用区域曲线标准化(RCS)方法从四个MXD年表中建立区域标准年表。基于区域RCS年表与平均4月至9月温度之间的显着相关性,将青藏高原东部的暖季(4月至9月)温度变异性恢复到1610年。重建解释了工具期(1961年至2009年)中58.5%的方差。在过去的400年中,有五个寒冷时期低于平均水平,四个温暖时期高于平均水平。温度重建记录了20世纪前所未有的变暖,过去的十年是过去400年来最温暖的十年。集成经验模式分解(EEMD)用于提取温度重构的多尺度波动。四个准振荡周期为2.2-2.7年,5.1-7.9年,11.9-15.4年和21.8-26.2年,表明原始温度有较大波动。与其他温度代理的协议意味着对我们的重建及其大规模空间表示具有高度的信心。青藏高原东部的温度重建在较长的时间内呈现出变暖的趋势。 (C)2015 Elsevier B.V.保留所有权利。

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