Periodic fluctuations in correlation-based connectivity density time series: Application to wind speed-monitoring network in Switzerland

被引：3

作者：

Laib, Mohamed ^{[1
]}

Telesca, Luciano ^{[2
]}

Kanevski, Mikhail ^{[1
]}

机构：

[1] Univ Lausanne, Fac Geosci & Environm, IDYST, Lausanne, Switzerland

[2] CNR, Ist Metodol Anal Ambientale, Tito, PZ, Italy

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2018年 / 492卷

关键词：

Wind; Correlation network; Connectivity; Time series; Robust periodogram; KULLBACK-LEIBLER-INFORMATION; COMPLEX NETWORKS; CLIMATE NETWORK; DYNAMICS; PREDICTION; REGION;

D O I：

10.1016/j.physa.2017.11.081

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this paper, we study the periodic fluctuations of connectivity density time series of a wind speed-monitoring network in Switzerland. By using the correlogram-based robust periodogram annual periodic oscillations were found in the correlation-based network. The intensity of such annual periodic oscillations is larger for lower correlation thresholds and smaller for higher. The annual periodicity in the connectivity density seems reasonably consistent with the seasonal meteo-climatic cycle. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：1555 / 1569

页数：15

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