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首页> 外文期刊>Journal of geographical sciences >Abrupt changes in an 8000-year precipitation reconstruction for Nevada, the Western USA
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Abrupt changes in an 8000-year precipitation reconstruction for Nevada, the Western USA

机译：美国西部内华达州8000年降水重建中的突变

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摘要

A scanning t-test algorithm for detecting multiple time-scale abrupt changes in the level of a time-series was used to analyze an 8000 year time series of annual precipitation which was reconstructed from tree rings for the Nevada Climate Division 3 in the western USA. The tree ring samples were gathered from eight states in the southwestern USA. Twenty-two change-points were identified by the algorithm and these were used to partition the tree-ring series into twenty-three relatively Wet/Normal/Dry episodes. These twenty-three episodes were collaborated by a coherency analysis of abrupt changes between the precipitation reconstruction series and the TIC/δ~(18)O records from cored sediments of Pyramid Lake in Nevada, and by comparison with published results from related studies. These episodes were also compared with studies of the global climate change and with records of climate change in China during the same periods. The results suggest that the precipitation reconstruction series is quite valuable for climate-change research on multi-centurial time-scales in the western USA, and that the scanning t-test and coherency detection algorithms may have a wide use for detecting multiple time-scale abrupt changes in a long time series. As the TIC and δ~(18)O record series are high resolution with unequal sampling intervals ranging between 3 and 14 years, a new algorithm was developed to deal with the unequal time intervals in the series.
机译：用于检测时间序列水平的多个时间尺度突变的扫描t检验算法用于分析年降水量的8000年时间序列，该序列是从年轮重建的，用于美国西部的内华达州气候部门3 。年轮样本是从美国西南部的八个州收集的。该算法确定了22个变化点，这些变化点用于将树环系列划分为23个相对湿/正常/干的事件。通过对降水重建序列与内华达金字塔湖核心沉积物的TIC /δ〜（18）O记录之间的突变进行相干分析，并与相关研究的已发表结果进行比较，对这23个事件进行了协作。这些事件还与全球气候变化研究以及同期中国的气候变化记录进行了比较。结果表明，降水重建系列对于美国西部多个世纪尺度的气候变化研究具有相当的价值，而扫描t检验和相干性检测算法可能在多种尺度上具有广泛的应用。长时间序列中的突然变化。由于TIC和δ〜（18）O记录序列具有较高的分辨率，采样间隔在3至14年之间，因此开发了一种新算法来处理序列中不相等的时间间隔。

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