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首页> 外文期刊>Tree-Ring Research >ENSEMBLE EMPIRICAL MODE DECOMPOSITION AS AN ALTERNATIVE FOR TREE-RING CHRONOLOGY DEVELOPMENT
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ENSEMBLE EMPIRICAL MODE DECOMPOSITION AS AN ALTERNATIVE FOR TREE-RING CHRONOLOGY DEVELOPMENT

机译：集合经验模式分解作为树木时间表发展的替代方案

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Since its establishment, tree-ring analysis has benefitted several scientific fields. Because of its many advantages, dendrochronology is a first choice to reconstruct past environmental variability. Two major concerns about the current tree-ring reconstruction paradigm are the subjective choices of detrending functions and the lack of fidelity to data of chronology generation methods. It is difficult to recover the original tree-ring data once they have been detrended and standardized. In this study, ensemble empirical mode decomposition (EEMD) is introduced as an objective high-fidelity stand-alone approach for developing tree-ring chronologies. Basic concepts of EEMD, recommended steps in developing chronologies, and available public domain programs are discussed. To demonstrate the potentials of EEMD for chronology development, two examples are provided, one for climate and the other for streamflow reconstructions. In both examples, EEMD chronologies show higher correlations with the instrumental data and have more power in their spectra than the ones developed based on the current tree-ring reconstruction approach. General usage concerns and cautions are also addressed.
机译：自成立以来，树木分析有利于几个科学领域。由于其许多优点，Dentrochronologol是重建过去环境变异性的首选。关于目前的树木重建范式的两个主要问题是争取函数的主观选择以及对年表发电方法的数据缺乏保真度。一旦它们被解脱和标准化，难以恢复原始的树木数据。在本研究中，将集成经验模式分解（EEMD）作为一种用于开发树木时间的客观的高保真独立方法。讨论了EEMD的基本概念，开发时间表的推荐步骤以及可用的公共领域计划。为了展示所eMD对于年表发展的潜力，提供了两个示例，一个用于气候和另一个用于流式流重建的示例。在两个示例中，EEMD时间表与仪器数据显示出更高的相关性，并且它们的光谱比基于当前的树木重建方法开发的乐谱更高。一般使用涉及和注意事项也得到了解决。

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