A simulation of a large-scale drifting snowstorm in the turbulent boundary layer

Author:

Wang ZhengshiORCID,Jia Shuming

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

Publisher

Copernicus GmbH

Subject

Earth-Surface Processes,Water Science and Technology

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3