时空气候数据分析中的信号处理方法

B. Reljin, I. Reljin, G. Jovanović
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引用次数: 3

摘要

气候数据场的特点是信息量大(通常具有许多非主导模式)、多变率和非线性性质。在分析这些数据时采用了几种统计和信号处理方法,其中一些方法用于分析塞尔维亚和黑山地区的气候。与厄尔尼诺-南方涛动(ENSO)和北大西洋涛动(NAO)这两个全球气候变率的主要产生源有遥相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Signal processing methods in analyzing of spatial-temporal climate data
Climate data fields are characterized by a large amount of information (having, usually, many non-dominant patterns), multivariability, and non-linear nature. Several statistical and signal processing methods are applied in analyzing such of data - some of them are used here in analyzing of climate in the region of Serbia and Montenegro. The teleconnection with the two major generators of the global climate variability: the ENSO (El Nino Southern Oscillation) and the NAO (North Atlantic Oscillation) is approved.
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