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

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (02 Jun 2020) by Mark Flanner
AR by Andrew Schwartz on behalf of the Authors (23 Jun 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (26 Jun 2020) by Mark Flanner
RR by Anonymous Referee #2 (17 Jul 2020)
ED: Publish subject to minor revisions (review by editor) (17 Jul 2020) by Mark Flanner
AR by Andrew Schwartz on behalf of the Authors (20 Jul 2020)  Author's response   Manuscript 
ED: Publish as is (23 Jul 2020) by Mark Flanner
AR by Andrew Schwartz on behalf of the Authors (24 Jul 2020)
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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.