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

Autor: Fabian Guignard, Dasaraden Mauree, Michele Lovallo, Mikhail Kanevski, Luciano Telesca
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Entropy, Vol 21, Iss 1, p 47 (2019)
Druh dokumentu: article
ISSN: 1099-4300
DOI: 10.3390/e21010047
Popis: 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.
Databáze: Directory of Open Access Journals
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