Abstract
Abstract. Drifting snowstorms are an important aeolian process that reshape alpine
glaciers and polar ice shelves, and they may also affect the climate system and
hydrological cycle since flying snow particles exchange considerable mass and
energy with air flow. Prior studies have rarely considered full-scale
drifting snowstorms in the turbulent boundary layer; thus, the transportation
feature of snow flow higher in the air and its contribution are largely
unknown. In this study, a large-eddy simulation is combined with a subgrid-scale velocity model to simulate the atmospheric turbulent boundary layer,
and a Lagrangian particle tracking method is adopted to track the
trajectories of snow particles. A drifting snowstorm that is hundreds of
meters in depth and exhibits obvious spatial structures is produced. The snow
transport flux profile at high altitude, previously not observed, is quite
different from that near the surface; thus, the extrapolated transport flux
profile may largely underestimate the total transport flux. At the same time,
the development of a drifting snowstorm involves three typical stages,
rapid growth, gentle growth, and equilibrium, in which
large-scale updrafts and subgrid-scale fluctuating velocities basically
dominate the first and second stages, respectively. This research provides an
effective way to gain an insight into natural drifting snowstorms.
Funder
National Natural Science Foundation of China
Subject
Earth-Surface Processes,Water Science and Technology
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