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

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

doi:https://doi.org/10.5194/tc-14-2755-2020

Articles | Volume 14, issue 8

https://doi.org/10.5194/tc-14-2755-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-14-2755-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 8

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

Data sets

Synoptic Weather Energy Balance in the Australia's Snowy Mountains H. McGowan, A. Schwartz, and N. Callow https://doi.org/10.14264/uql.2019.691

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.