Numerical simulation of seasonal snow in Tianshan Mountains
Numerical simulation of seasonal snow in Tianshan Mountains作者机构:Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China University of Chinese Academy of SciencesBeijing 100049China National Cryosphere Desert Data CenterLanzhou 730000China Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Lanzhou University of TechnologyLanzhou 730050China
出 版 物:《Journal of Mountain Science》 (山地科学学报(英文))
年 卷 期:2021年第18卷第2期
页 面:338-356页
核心收录:
学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学]
基 金:supported by the 13th Five-year Informatization Plan of the Chinese Academy of Sciences,Grant No.XXH13506 and XXH13505-220 Data sharing fundamental program for Construction of the National Science Technology Infrastructure Platform(Grant No.Y719H71006)
主 题:Snow Porous medium Heat and mass transfer Phase change Thermo-hydro-mechanical(THM)coupling Numerical modelling
摘 要:Snowfall in the Tianshan Mountains in China is frequent during winter;thus,avalanches have become a severe issue in snow-covered *** and metamorphosis,as well as hydrothermal exchanges with the environment,considerably affect the stability of snow on ***,a hydrothermal model of snow cover and its underlying surfaces must be developed on the basis of meteorological data to predict and help manage *** study adopted the conceptual model of snow as a porous medium and quantitatively analysed its internal physical processes on the basis of the thermal exchanges amongst its *** effects of local meteorological factors on snow structure and the redistribution of energy and mass inside the snow cover in the Tianshan Mountains were *** results showed that deformation as a result of overlying snow and sublimation of snow cover at the bottom is the main cause of density variation in the vertical profile of snow *** drives water movement in *** low-density area of the bottom snow is the result of temperature *** simulation results of the long-term snow internal mass distribution obtained by the method established in this study are highly consistent with the actual observed trend of *** consistency indicates an accurate simulation of the physical characteristics of snow cover in small and microscale metamorphism in the Tianshan Mountains during the stable period.