Long-range correlations of the wind speed in a northeast region of Brazil

The objective of this work is to analyze the scaling behavior of wind speed in the region of the state of Bahia, northeastern Brazil, in search of long-range correlations and other information about the crossover phenomena. Thus, data from 41 automatic surface stations were used for a period of five...

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Bibliographic Details
Published in:Energy (Oxford) 2022-03, Vol.243, p.122742, Article 122742
Main Authors: Perini de Souza, Noéle Bissoli, Cardoso dos Santos, José Vicente, Sperandio Nascimento, Erick Giovani, Bandeira Santos, Alex Alisson, Moreira, Davidson Martins
Format: Article
Language:English
Subjects:
Archipelagoes
Correlation
Crossover phenomenon
Data analysis
DFA
El Nino
El Niño
Fluctuations
Geographical locations
La Nina
La Niña
Mathematical models
Mesoscale phenomena
Offshore
Oscillations
Simulation
Weather forecasting
Weather patterns
Wind measurement
Wind persistence
Wind power
Wind speed
WRF
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Summary:The objective of this work is to analyze the scaling behavior of wind speed in the region of the state of Bahia, northeastern Brazil, in search of long-range correlations and other information about the crossover phenomena. Thus, data from 41 automatic surface stations were used for a period of five years—between 2015 and 2020—for onshore reading. For offshore readings, data from a surface station located in the Abrolhos Archipelago were used. To achieve this goal, the DFA (detrended fluctuation analysis) technique was used in the analysis of measured data at the stations, along with numerical simulations using the WRF (weather research and forecasting) mesoscale model. The results of the analysis of hourly average wind speed from the measured and simulated data show the existence of scale behavior with the appearance, in most cases, of a double crossover—onshore and offshore. This suggests the phenomenon's dependence on the time period of the analyzed data, and also on the geographic location, showing a strong correlation with the Atlantic and Pacific oscillations (La Niña and El Niño), indicating the influence of local, mesoscale, and macroscale effects in the region of study. For the offshore case, the measured data and simulations presented a subdiffusive behavior (α≥1) before the first crossover, and persistence (0.5
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2021.122742