Articles | Volume 14, issue 8
https://doi.org/10.5194/tc-14-2755-2020
https://doi.org/10.5194/tc-14-2755-2020
Research article
 | 
28 Aug 2020
Research article |  | 28 Aug 2020

Quantifying the impact of synoptic weather types and patterns on energy fluxes of a marginal snowpack

Andrew J. Schwartz, Hamish A. McGowan, Alison Theobald, and Nik Callow

Viewed

Total article views: 2,018 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,360 590 68 2,018 70 78
  • HTML: 1,360
  • PDF: 590
  • XML: 68
  • Total: 2,018
  • BibTeX: 70
  • EndNote: 78
Views and downloads (calculated since 13 Feb 2020)
Cumulative views and downloads (calculated since 13 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,018 (including HTML, PDF, and XML) Thereof 1,739 with geography defined and 279 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
This study measured energy available for snowmelt during the 2016 and 2017 snow seasons in Kosciuszko National Park, NSW, Australia, and identified common traits for days with similar weather characteristics. The analysis showed that energy available for snowmelt was highest in the days before cold fronts passed through the region due to higher air temperatures. Regardless of differences in daily weather characteristics, solar radiation contributed the highest amount of energy to snowpack melt.