Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 845–868, 2018
Wind Energ. Sci., 3, 845–868, 2018

Research article 05 Nov 2018

Research article | 05 Nov 2018

Assessing variability of wind speed: comparison and validation of 27 methodologies

Joseph C. Y. Lee et al.

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Cited articles

Archer, C. L. and Jacobson, M. Z.: Geographical and seasonal variability of the global “practical” wind resources, Appl. Geogr., 45, 119–130,, 2013. 
Baker, R. W., Walker, S. N., and Wade, J. E.: Annual and seasonal variations in mean wind speed and wind turbine energy production, Sol. Energy, 45, 285–289,, 1990. 
Bandi, M. M. and Apt, J.: Variability of the Wind Turbine Power Curve, Appl. Sci., 6, 262,, 2016. 
Bett, P. E., Thornton, H. E., and Clark, R. T.: European wind variability over 140 yr, Adv. Sci. Res., 10, 51–58,, 2013. 
Bodini, N., Lundquist, J. K., Zardi, D., and Handschy, M.: Year-to-year correlation, record length, and overconfidence in wind resource assessment, Wind Energ. Sci., 1, 115–128,, 2016. 
Short summary
To find the ideal way to quantify long-term wind-speed variability, we compare 27 metrics using 37 years of wind and energy data. We conclude that the robust coefficient of variation can effectively assess and correlate wind-speed and energy-production variabilities. We derive adequate results via monthly mean data, whereas uncertainty arises in interannual variability calculations. We find that reliable estimates of wind-speed variability require 10 ± 3 years of monthly mean wind data.