Multiparametric statistical and dynamical analysis of angular high-frequency wind speed time series

被引：5

作者：

Stosic, Tatijana ^{[1
]}

Telesca, Luciano ^{[2
]}

Stosic, Borko ^{[1
]}

机构：

[1] Univ Fed Rural Pernambuco, Dept Estat & Informat, Rua Dom Manoel de Medeiros S-N, BR-52171900 Recife, PE, Brazil

[2] CNR, Inst Methodol Environm Anal Cda S Loja, I-85050 Tito, Italy

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2021年 / 566卷

关键词：

Wind speed; Persistence dynamics; Detrended fluctuation analysis; Multifractal detrended fluctuation analysis; Fisher-Shannon analysis; LONG-TERM CORRELATIONS; FISHER INFORMATION; DISTRIBUTIONS; COMPLEXITY; RECORDS;

D O I：

10.1016/j.physa.2020.125627

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

High frequency data from the city of Petrolina, Northeast Brazil, are used to find the wind speed projection series at different angles, which are then analyzed by using several statistical tools: detrended fluctuation analysis (DFA), multifractal detrended fluctuation analysis (MFDFA) and Fisher-Shannon analysis (FSA). It is found that alpha, the DFA scaling exponent, varies between 0.6 (indicating weak persistence) and unity (strong persistence), at different time frames and at different projection angles. At lower projection angles wind speed is characterized by higher heterogeneity, lower disorder, higher organization and relative dominance of small fluctuations. The statistical analysis of wind speed with varying the direction could contribute to enrich the knowledge of the dynamics of wind speed. (C) 2020 Elsevier B.V. All rights reserved.

引用

页数：13

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