id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ispiv-132	Abraham, Aliza; Hong, Jiarong 	Super-large-scale flow visualization using natural snowfall for the study of utility-scale wind turbine flows	2021	2	.pdf	application/pdf	918	32	43	These findings have demonstrated that near wake flows, though highly complex, can be predicted with sub- stantial statistical confidence using information readily available from current utility-scale turbines. Figure 1: Sample images of snow particle patterns used for flow visualization and SLPIV measurements of (a) the bottom blade tip vortices, (b) turbine nacelle wake, (c) tower vortex tubes, (d) atmospheric flow approaching the turbine, (e) near-wake flow at the tower plane, and (f) near-wake flow at the plane normal to the flow direction.	cache/ispiv-132.pdf	txt/ispiv-132.txt