Influence of Slope-Scale Snowmelt on Catchment Response Simulated With the Alpine3D Model

被引:44
作者
Brauchli, Tristan [1 ,2 ]
Trujillo, Ernesto [1 ,2 ]
Huwald, Hendrik [1 ]
Lehning, Michael [1 ,2 ]
机构
[1] Ecole Polytech Fed Lausanne, Sch Architecture Civil & Environm Engn, Lausanne, Switzerland
[2] WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland
基金
瑞士国家科学基金会;
关键词
CLIMATE-CHANGE; WATER EQUIVALENT; ENERGY-BALANCE; SPATIAL VARIABILITY; POTENTIAL IMPACTS; SURFACE PROCESSES; SNOWPACK MODEL; SIERRA-NEVADA; COVER; RUNOFF;
D O I
10.1002/2017WR021278
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Snow and hydrological modeling in alpine environments remains challenging because of the complexity of the processes affecting the mass and energy balance. This study examines the influence of snowmelt on the hydrological response of a high-alpine catchment of 43.2 km(2) in the Swiss Alps during the water year 2014-2015. Based on recent advances in Alpine3D, we examine how snow distributions and liquid water transport within the snowpack influence runoff dynamics. By combining these results with multiscale observations (snow lysimeter, distributed snow depths, and streamflow), we demonstrate the added value of a more realistic snow distribution at the onset of melt season. At the site scale, snowpack runoff is well simulated when the mass balance errors are corrected (R-2 = 0.95 versus R-2 = 0.61). At the subbasin scale, a more heterogeneous snowpack leads to a more rapid runoff pulse originating in the shallower areas while an extended melting period (by a month) is caused by snowmelt from deeper areas. This is a marked improvement over results obtained using a traditional precipitation interpolation method. Hydrological response is also improved by the more realistic snowpack (NSE of 0.85 versus 0.74), even though calibration processes smoothen out the differences. The added value of a more complex liquid water transport scheme is obvious at the site scale but decreases at larger scales. Our results highlight not only the importance but also the difficulty of getting a realistic snowpack distribution even in a well-instrumented area and present a model validation from multiscale experimental data sets.
引用
收藏
页码:10723 / 10739
页数:17
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