activity
20102022
most citedSettling and Clustering of Snow Particles in Atmospheric Turbulence

37 citations · 105 across the 7 of their papers we have counts for

collaborators

7 papers

physics.flu-dyn2022★ 10 cited

Imaging-based 3D Particle Tracking System for Field Characterization of Particle Dynamics in Atmospheric Flows

Nathaniel Bristow, Jiaqi Li, Peter Hartford +2

A particle tracking velocimetry apparatus is presented that is capable of measuring three-dimensional particle trajectories across large volumes, of the order of several meters, du…

physics.ao-ph2022★ 1 cited

Snow particle analyzer for simultaneous measurements of snow density and morphology

Jiaqi Li, Michele Guala, Jiarong Hong

The detailed characterization of snow particles is critical for understanding the snow settling behavior and modeling the ground snow accumulation for various applications such as…

physics.flu-dyn2021

Evidence of preferential sweeping during snow settling in atmospheric turbulence

Jiaqi Li, Aliza Abraham, Michele Guala +1

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-scal…

physics.flu-dyn2020★ 37 cited

Settling and Clustering of Snow Particles in Atmospheric Turbulence

Cheng Li, Kaeul Lim, Tim Berk +5

The effect of turbulence on snow precipitation is not incorporated into present weather forecasting models. Here we show evidence that turbulence is in fact a key influence on both…

physics.flu-dyn2020★ 36 cited

On the mixing length eddies and logarithmic mean velocity profile in wall turbulence

Michael Heisel, Charitha M. de Silva, Nicholas Hutchins +2

Since the introduction of the logarithmic law of the wall more than 80 years ago, the equation for the mean velocity profile in turbulent boundary layers has been widely applied to…

physics.flu-dyn2015

Particle growth in turbulent flow under dynamically critical Stokes conditions

Michele Guala, Jiarong Hong

A simple theory, based on observations of snowflake distribution in a turbulent flow, is proposed to model the growth of inertial particles as a result of dynamic clustering at sca…