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

TL;DR

This study investigates annual periodic fluctuations in the connectivity density of a wind speed-monitoring network in Switzerland, revealing seasonal patterns linked to climate cycles using correlation-based analysis.

Contribution

It introduces a method to detect seasonal periodicity in network connectivity density using correlogram-based periodogram analysis.

Findings

Annual periodic oscillations are identified in the network.

Oscillation intensity varies with correlation thresholds.

Periodic patterns align with seasonal climate cycles.

Abstract

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.