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Characterization and quantification of within-year variation of snow-cover elevation in mountainous regions, eastern Tibet

Characterization and quantification of within-year variation of snow-cover elevation in mountainous regions, eastern Tibet

作     者:Jie Gao XuDong Fu TongLiang Gong GuangQian Wang Hao Wang 

作者机构:State Key Laboratory of Hydroscience and Engineering Tsinghua University Beijing 100084 China Tibet Bureau of Water Resources Lhasa 850000 China Hydropower and Water Resources Planning & Design General Institute Beijing 100120 China 

出 版 物:《Research in Cold and Arid Regions》 (寒旱区科学(英文版))

年 卷 期:2011年第3卷第5期

页      面:400-407页

学科分类:0810[工学-信息与通信工程] 07[理学] 08[工学] 081002[工学-信号与信息处理] 0713[理学-生态学] 

基  金:supported by the National Natural Science Foundation of China under Grant No.50221903 by the Ministry of Science and Technology of China under Grant No.2007BAC06B06 

主  题:fluctuating snow-covered elevation (FSCE) eastem Tibet median of snow-flee period duration of snow-flee period 

摘      要:Fluctuating snow-covered elevation (FSCE) was conceptualized and proposed to characterize within-year variation of the border between snow-covered and snow-free area in mountainous regions. Two parameters, namely median of snow flee period (Tm) and snow free duration (AT), were defined to quantify FSCE. A regression model of FSCE was developed for the Lhasa River Basin, Niyang River Basin, and Changdu region in eastern Tibet. Statistical analysis of the snow-products data with a spatial resolution of 25km×25km shows that: (1) Tm correlates weakly with geographical and topographic factors, having the yearly mean value of July 31; (2) △T correlates significantly with the average elevation of the snow-products cell, having the yearly mean value of nearly five months (i.e., 151 days); (3) the region begins snow disappearance in late April and finishes snow coverage in mid November, being snow-free from late June to mid September and snow-covered from December to March in the next year. In addi- tion, snow-products with higher spatial resolution will be helpful to characterize FSCE in smaller spatial scales.

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