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Wavelet variance scale-dependence as a dynamics discriminating tool in high-frequency urban wind speed time series

Author

Listed:
  • Guignard, Fabian
  • Mauree, Dasaraden
  • Kanevski, Mikhail
  • Telesca, Luciano

Abstract

High frequency wind time series measured at different heights from the ground (from 1.5 to 25.5 meters) in an urban area were investigated by using the variance of the coefficients of their wavelet transform. Two ranges of scales were identified, sensitive to two different dynamical behavior of the wind speed: the lower anemometers show higher wavelet variance at smaller scales, while the higher ones are characterized by higher wavelet variance at larger scales. Due to the relationship between wavelet scale and frequency, the results suggest the existence of two frequency ranges, where the wind speed variability change according to the position of the anemometer from the ground.

Suggested Citation

  • Guignard, Fabian & Mauree, Dasaraden & Kanevski, Mikhail & Telesca, Luciano, 2019. "Wavelet variance scale-dependence as a dynamics discriminating tool in high-frequency urban wind speed time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 771-777.
    • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:771-777
    DOI: 10.1016/j.physa.2019.04.021
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    References listed on IDEAS

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    1. Dasaraden Mauree & Silvia Coccolo & Amarasinghage Tharindu Dasun Perera & Vahid Nik & Jean-Louis Scartezzini & Emanuele Naboni, 2018. "A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    2. Perera, A.T.D. & Coccolo, Silvia & Scartezzini, Jean-Louis & Mauree, Dasaraden, 2018. "Quantifying the impact of urban climate by extending the boundaries of urban energy system modeling," Applied Energy, Elsevier, vol. 222(C), pages 847-860.
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