Instant Response of Tibetan Plateau Surface Albedo to Snow Coverage and Depth in Snow Season

被引:4
|
作者
Miao, Xin [1 ,2 ]
Guo, Weidong [1 ]
Li, Wenkai [3 ]
Cao, Yipeng [1 ]
Ge, Jun [1 ]
Qiu, Bo [1 ]
机构
[1] Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
[2] Nanjing Univ, Frontiers Sci Ctr Crit Earth Mat Cycling, Nanjing, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
PARAMETERIZATION; CLIMATE; MODEL; VARIABILITY; VALIDATION; FRACTION; WESTERN; SCHEME;
D O I
10.1029/2023GL108010
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Tibetan Plateau (TP) snow cover is featured by sub-seasonal changes, affecting weather and climate in surrounding and downstream areas. Previous studies emphasize the effect of background atmospheric circulation on rapid changes of TP snow cover as a whole. However, spatial discrepant changes of snow cover over the TP with complex topography and uneven snowfall remain unaddressed. Our research indicates that snow cover fraction dominates the rapid changes of surface albedo across the TP, and snow depth also significantly influences surface albedo changes through modulating snow albedo in central and eastern TP with shallow snow. However, the excessive snow amount and empirical snow cover fraction schemes introduce spatially divergent biases of surface albedo changes in simulations. Our research highlights the instant response of TP surface albedo to both snow coverage and depth in snow season, and provides a promising perspective for improving TP snow and surface albedo simulations. Tibetan Plateau (TP) snow cover is characterized not only by obvious seasonal changes, but also by rapid sub-seasonal changes, which has a significant impact on the weather and climate of the downstream areas by affecting the surface albedo over the TP. Previous studies have generally concluded that the background atmospheric circulation dominates rapid changes of overall TP snow cover. However, rapid changes of snow cover exhibit spatial discrepancies over the TP with complex topography and uneven snowfall. Our study finds that snow coverage and depth both contribute to rapid changes of surface albedo and energy budget over the TP, which further lead to rapid changes of snow cover. However, current numerical models tend to overestimate the snow and fail to simulate spatial different changes of snow coverage and depth, leading to spatially divergent simulation biases in surface albedo, surface energy balance and local atmospheric circulation over the TP. Therefore, there is an urgent need to improve the snow parameterization in models to enhance the intra-seasonal simulation of snow cover and surface albedo over the TP. Observed surface albedo over the Tibetan Plateau (TP) has significant weekly scale fluctuations during winter Snow cover fraction and snow depth jointly dominate observed rapid changes of surface albedo over the TP Excessive snow amount and empirical snow cover fraction schemes lead to spatially divergent bias of surface albedo change
引用
收藏
页数:10
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