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20182020
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stat.AP2020

Spatio-temporal evolution of global surface temperature distributions

Federico Amato, Fabian Guignard, Vincent Humphrey +1

Climate is known for being characterised by strong non-linearity and chaotic behaviour. Nevertheless, few studies in climate science adopt statistical methods specifically designed…

stat.AP2019

Analysis of air pollution time series using complexity-invariant distance and information measures

Federico Amato, Mohamed Laib, Fabian Guignard +1

Air pollution is known to be a major threat for human and ecosystem health. A proper understanding of the factors generating pollution and of the behavior of air pollution in time…

stat.AP2018

Fisher-Shannon complexity analysis of high-frequency urban wind speed time series

Fabian Guignard, Dasaraden Mauree, Michele Lovallo +2

1Hz wind time series recorded at different levels (from 1.5 to 25.5 meters) in an urban area are investigated by using the Fisher-Shannon (FS) analysis. FS analysis is a well known…

stat.AP2018

Wavelet variance scale-dependence as a dynamics discriminating tool in high-frequency urban wind speed time series

Fabian Guignard, Dasaraden Mauree, Mikhail Kanevski +1

High frequency wind time series measured at different heights from the ground (from 1.5 to 25.5 meters) in an urban area were investigated by using the variance of the coefficients…

stat.AP2018

Analysis of temporal properties of wind extremes

Luciano Telesca, Fabian Guignard, Mohamed Laib +1

The 10-minute average wind speed series recorded at 132 stations distributed rather homogeneously in the territory of Switzerland are investigated. Wind extremes are defined on the…

stat.AP2018

Linearity versus non-linearity in high frequency multilevel wind time series measured in urban areas

Luciano Telesca, Mohamed Laib, Fabian Guignard +2

In this paper, high frequency wind time series measured at different heights from the ground (from 5.5 to 25.5 meters) in an urban area were investigated. The spectrum of each seri…