Evidence of preferential sweeping during snow settling in atmospheric turbulence
Jiaqi Li, Aliza Abraham, Michele Guala, Jiarong Hong

TL;DR
This study uses advanced particle imaging techniques to demonstrate that snow particles preferentially settle in atmospheric turbulence vortices, significantly enhancing their settling velocity compared to previous observations.
Contribution
It provides direct field evidence of preferential sweeping as a key mechanism for snow settling enhancement in atmospheric turbulence using simultaneous multi-scale imaging.
Findings
Snow particles concentrate on the downward side of vortices.
Snow settling velocity is significantly increased by turbulence.
Preferential sweeping is confirmed as a mechanism for snow settling enhancement.
Abstract
We present a field study of snow settling dynamics based on simultaneous measurements of the atmospheric flow field and snow particle trajectories. Specifically, a super-large-scale particle image velocimetry (SLPIV) system using natural snow particles as tracers is deployed to quantify the velocity field and identify vortex structures in a 22 m 39 m field of view centered 18 m above the ground. Simultaneously, we track individual snow particles in a 3 m 5 m sample area within the SLPIV using particle tracking velocimetry (PTV). The results reveal the direct linkage among vortex structures in atmospheric turbulence, the spatial distribution of snow particle concentration, and their settling dynamics. In particular, with snow turbulence interaction at near-critical Stokes number, the settling velocity enhancement of snow particles is multifold, and larger than what has…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle Dynamics in Fluid Flows · Aeolian processes and effects · Fluid Dynamics and Turbulent Flows
