  Turbulent signals are known to exhibit burst-like activities, which affect
the turbulence statistics at both large and small scales of the flow. In our
study, we pursue this problem from the perspective of an event-based framework,
where bursting events are studied across multiple scales in terms of both their
size and duration. To illustrate our method and assess any dependence on the
Reynolds number, we use two datasets - from the Melbourne wind tunnel and from
SLTEST - an atmospheric surface layer experiment. We show that an index, namely
the burstiness index, can be used successfully to describe the multi-scale
nature of turbulent bursting while accounting for the small-scale intermittency
effects. Through this index, we demonstrate that irrespective of the Reynolds
number, the presence of large amplitude fluctuations in the instantaneous
velocity variance and momentum flux signals are governed by the coherent
structures in the flow. Concerning small-scale turbulence, a Reynolds
number-dependence is noted while studying the scale-wise evolution of the
burstiness features of second-order streamwise velocity increments. Specific to
the wind-tunnel dataset, the burstiness index of streamwise velocity increment
signal displays a strong dependence on height and also decreases as the scales
increase with the maximum being obtained at scales comparable to the
dissipative structures. However, such features are nearly absent in the
atmospheric flows. To conclude, this research paves a novel way to evaluate the
effect of bursts on the turbulence statistics at any specified scale of the
flow.
