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Entropy 2019, 21(1), 47; https://doi.org/10.3390/e21010047

Fisher–Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time Series

1
IDYST, Faculty of Geosciences and Environment, University of Lausanne, CH-1015 Lausanne, Switzerland
2
Solar Energy and Building Physics Laboratory, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
3
Agenzia Regionale per la Protezione dell’ Ambiente di Basilicata, 85100 Potenza, Italy
4
National Research Council (CNR), Institute of Methodologies for Environmental Analysis, C.da S.Loja, 85050 Tito (PZ), Italy
*
Author to whom correspondence should be addressed.
Received: 4 December 2018 / Revised: 21 December 2018 / Accepted: 4 January 2019 / Published: 10 January 2019
(This article belongs to the Section Complexity)
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Abstract

One-hertz wind time series recorded at different levels (from 1.5–25.5 m) in an urban area are investigated by using the Fisher–Shannon (FS) analysis. FS analysis is a well-known method to gain insight into the complex behavior of nonlinear systems, by quantifying the order/disorder properties of time series. Our findings reveal that the FS complexity, defined as the product between the Fisher information measure and the Shannon entropy power, decreases with the height of the anemometer from the ground, suggesting a height-dependent variability in the order/disorder features of the high-frequency wind speed measured in urban layouts. Furthermore, the correlation between the FS complexity of wind speed and the daily variance of the ambient temperature shows a similar decrease with the height of the wind sensor. Such correlation is larger for the lower anemometers, indicating that ambient temperature is an important forcing of the wind speed variability in the vicinity of the ground. View Full-Text
Keywords: high-frequency wind speed measurements; Fisher–Shannon complexity; time series; urban areas high-frequency wind speed measurements; Fisher–Shannon complexity; time series; urban areas
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Guignard, F.; Mauree, D.; Lovallo, M.; Kanevski, M.; Telesca, L. Fisher–Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time Series. Entropy 2019, 21, 47.

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