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Analysis of Long-Term Changes in Annual and Seasonal Precipitation in Chile and Related Large-Scale Atmospheric Circulation Patterns

机译:智利年度和季节性降水的长期变化及相关的大规模大气环流模式分析

摘要

The study of empirical teleconnections between annual and seasonal precipitation anomalies and different climate indices i.e. SOI, PDO, MEI, AAO, ONI, TWI, N3.4, TNI, and MJO, is an important approach to describe and analyze spatial and temporal precipitation variability. The objective of this study was to describe and analyze the main features of interannual and seasonal precipitation variability along Chile, and the influence of different ocean-atmospheric oscillations on secular long-term patterns. An exhaustive analysis through Empirical Orthogonal Functions (EOF) allowed determining the significant modes of annual and seasonal precipitation, and the main spatial patterns associated to them. Discrete Fourier Transform (DFT), the Singular Spectrum Analysis (SSA), and the Multichannel Singular Spectrum Analysis (M-SSA) were additionally used to determine the main frequencies and oscillatory components associated with leading climatic modes and precipitation patterns. The results agreed with those obtained by other authors and also when using different datasets. Despite advances on detailed annual and seasonal analysis that were carried out here, more detailed country-based studies are still required to develop a detailed understanding about climatic patterns along a country that is geographically very difficult to investigate.
机译:研究年度和季节降水异常与不同气候指数(如SOI,PDO,MEI,AAO,ONI,TWI,N3.4,TNI和MJO)之间的经验遥相关是描述和分析时空降水变异性的重要方法。 。这项研究的目的是描述和分析智利年际和季节降水变化的主要特征,以及不同的海洋-大气振荡对长期长期格局的影响。通过经验正交函数(EOF)进行的详尽分析可以确定年降水和季节降水的重要模式以及与之相关的主要空间模式。离散傅里叶变换(DFT),奇异频谱分析(SSA)和多通道奇异频谱分析(M-SSA)还被用来确定与主要气候模式和降水模式相关的主要频率和振荡成分。结果与其他作者以及使用不同数据集时获得的结果一致。尽管此处进行了详细的年度和季节分析方面的进展,但仍需要进行更详细的基于国家的研究,才能对地理上非常难以调查的国家的气候模式形成详细的了解。

著录项

  • 作者

    Valdés Rodrigo;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

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