Spatial controls on the distribution and dynamics of a marginal snowpack in the Australian Alps

被引:15
作者
Bilish, Shane P. [1 ,2 ]
Callow, J. Nikolaus [1 ]
McGrath, Gavan S. [1 ,3 ,4 ]
McGowan, Hamish A. [5 ]
机构
[1] Univ Western Australia, Sch Agr & Environm M087, Crawley, WA, Australia
[2] Snowy Hydro Ltd, POB 332, Cooma, NSW 2630, Australia
[3] Ishka Solut, Nedlands, WA, Australia
[4] TEAGASC, Environm Soils & Land Use Dept, Wexford, Ireland
[5] Univ Queensland, Sch Earth & Environm Sci, St Lucia, Qld, Australia
关键词
Australian Alps; marginal snowpack; point measurements; snowpack dynamics; snowpack variability; Spencers Creek; WATER EQUIVALENT; TOPOGRAPHIC CONTROL; SNOWY MOUNTAINS; CLIMATE-CHANGE; SOIL-MOISTURE; DEPTH; VARIABILITY; MODEL; WIND; SNOWMELT;
D O I
10.1002/hyp.13435
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Seasonal snowpacks in marginal snow environments are typically warm and nearly isothermal, exhibiting high inter- and intra-annual variability. Measurements of snow depth and snow water equivalent were made across a small subalpine catchment in the Australian Alps over two snow seasons in order to investigate the extent and implications of snowpack spatial variability in this marginal setting. The distribution and dynamics of the snowpack were found to be influenced by upwind terrain, vegetation, solar radiation, and slope. The role of upwind vegetation was quantified using a novel parameter based on gridded vegetation height. The elevation range of the catchment was relatively modest (185 m), and elevation impacted distribution but not dynamics. Two characteristic features of marginal snowpack behaviour are presented. Firstly, the evolution of the snowpack is described in terms of a relatively unstable accumulation state and a highly stable ablation state, as revealed by temporal variations in the mean and standard deviation of snow water equivalent. Secondly, the validity of partitioning the snow season into distinct accumulation and ablation phases is shown to be compromised in such a setting. Snow at the most marginal locations may undergo complete melt several times during a season and, even where snow cover is more persistent, ablation processes begin to have an effect on the distribution of the snowpack early in the season. Our results are consistent with previous research showing that individual point measurements are unable to fully represent the variability in the snowpack across a catchment, and we show that recognising and addressing this variability are particularly important for studies in marginal snow environments.
引用
收藏
页码:1739 / 1755
页数:17
相关论文
共 85 条
[1]   Implications of global climate change for snowmelt hydrology in the twenty-first century [J].
Adam, Jennifer C. ;
Hamlet, Alan F. ;
Lettenmaier, Dennis P. .
HYDROLOGICAL PROCESSES, 2009, 23 (07) :962-972
[2]   Time-series clustering - A decade review [J].
Aghabozorgi, Saeed ;
Shirkhorshidi, Ali Seyed ;
Teh Ying Wah .
INFORMATION SYSTEMS, 2015, 53 :16-38
[3]   Insights into the physical processes controlling correlations between snow distribution and terrain properties [J].
Anderson, Brian T. ;
McNamara, James P. ;
Marshall, Hans-Peter ;
Flores, Alejandro N. .
WATER RESOURCES RESEARCH, 2014, 50 (06) :4545-4563
[4]   Evaluation of spatial variability in snow water equivalent for a high mountain catchment [J].
Anderton, SP ;
White, SM ;
Alvera, B .
HYDROLOGICAL PROCESSES, 2004, 18 (03) :435-453
[5]  
[Anonymous], 2018, R PACKAGE VERSION 41
[6]   Combining binary decision tree and geostatistical methods to estimate snow distribution in a mountain watershed [J].
Balk, B ;
Elder, K .
WATER RESOURCES RESEARCH, 2000, 36 (01) :13-26
[7]   Energy balance and snowmelt drivers of a marginal subalpine snowpack [J].
Bilish, Shane P. ;
McGowan, Hamish A. ;
Callow, John Nikolaus .
HYDROLOGICAL PROCESSES, 2018, 32 (26) :3837-3851
[8]  
Blöschl G, 1999, HYDROL PROCESS, V13, P2149, DOI 10.1002/(SICI)1099-1085(199910)13:14/15<2149::AID-HYP847>3.0.CO
[9]  
2-8
[10]  
BLOSCHL G, 1995, HYDROL PROCESS, V9, P251, DOI 10.1002/hyp.3360090305