Thunderstorm characteristics of importance to wind engineering

The idea that “wind is wind”, irrespective of causal mechanism, allows wind and pressure information collected in wind tunnels to be used in wind load standards. This concept is based on inherently stationary data and validated with field data that are collected from the stationary boundary layer (SBL). Thunderstorms, important events for wind loading, display non-stationary characteristics. Yet thunderstorms are assumed to have the same properties as the SBL, even though differences have been shown, especially in short duration events. In this study, near-surface wind data from thunderstorms which displayed short and rapid wind speed increases (i.e., “ramp-up”) were identified and analyzed. Characteristics of the ramp-up events are detailed and compared with SBL data. Analysis revealed averaging times (moving averages) of 15–60s can be used on ramp-up wind data for comparison to SBL winds and ramp-up events have shorter time scales (1–5min) than those used in wind engineering practice. Within these shorter time scales turbulence spectra was similar to the SBL. Ramp-up vertical wind profiles rapidly evolve, have a downward transfer of momentum, and show differences from the SBL log-profile. Gust factors of ramp-up events differed from those of the SBL at averaging times greater than 60s and may differ between thunderstorm types. Overall, properties of ramp-up events also display considerable variability when compared to the SBL, which may need to be considered in wind load standards. •Shorter time scales than used in wind engineering were found for thunderstorm events which displayed rapid wind speed increases (i.e., ramp-up).•Ramp-up turbulence in the frequency domain was similar to the SBL and turbulence intensities fell within the range of the SBL at 15–60s averaging times.•Vertical ramp-up profiles show evolutionary behavior while maximum gust profiles suggest differences from the SBL.•Gust factors for ramp-up events show that the Durst curve should not be used for averaging times greater than 60s and can be fit to a cubic polynomial.•Thunderstorm events also display considerable variability, which may affect wind load standards.