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

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.

Automated summary

High frequency data from the city of Petrolina in Northeast Brazil is used to analyze wind speed projection series at different angles using statistical tools such as DFA, MFDFA, and FSA. The study found that wind speed characteristics vary at different projection angles, with lower angles showing higher heterogeneity, lower disorder, higher organization, and dominance of small fluctuations. Analyzing wind speed with varying direction can contribute to enriching the knowledge of wind speed dynamics.