Streamflow variability and the role of snowmelt in a marginal snow environment

ABSTRACT

Snowmelt in alpine regions supports hydroelectric power generation, water supply, and agricultural production. These regions are warming, and the impact on streamflow of changes in precipitation and the proportion falling as snow is of interest. We investigate the seasonality and interannual variability of streamflow in the Australian Alps, a key location due to the marginal snowpack with winter air temperatures close to 0°C, and focus on a small subalpine catchment with properties representative of an important part of the broader snow-affected region. Streamflow was highly responsive to precipitation inputs with little autocorrelation observed. Water years were divided into four hydrological seasons based on the mean properties of normalized cumulative inflows. The spring snowmelt season accounted for the greatest proportion of annual inflows (mean = 39 percent). However, correlations between seasonal and annual inflows were only significant in the other three seasons, and winter inflows were the most important contributor to annual variability. The present snowpack is highly variable and sensitive to synoptic-scale influences. Although significant future reductions in snow-covered area have been predicted, we find that water resources are more susceptible to observed declines in total precipitation and likely increases in evapotranspiration than to a shift to proportionally less snowfall.

KEYWORDS:

• Australian Alps
• marginal snowpack
• snowmelt
• streamflow

Acknowledgments

We thank Mic Clayton for his assistance with data collection and verification. Streamflow data were provided by Llyod Smith and potential evapotranspiration data were supplied by the Australian Bureau of Meteorology. We are grateful to the Associate Editor, Nick Pepin, and to three anonymous reviewers for their constructive comments that improved the article. We also acknowledge the support of Snowy Hydro Ltd. and the NSW National Parks and Wildlife Service.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Snowy Hydro Ltd. SPB received an Australian Government Research Training Program Scholarship.