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

Download

Final revised paper (published on 28 Aug 2020)
Preprint (discussion started on 13 Feb 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Review comment', Anonymous Referee #1, 06 Mar 2020
- AC1: 'Response to Reviewers' Comments', Andrew Schwartz, 25 May 2020
RC2: 'Review for ‘Quantifying the impact of synoptic weather types and patterns on energy fluxes of a marginal snowpack’, Schwatz et al. 2020', Anonymous Referee #2, 29 Apr 2020
- AC1: 'Response to Reviewers' Comments', Andrew Schwartz, 25 May 2020

Peer-review completion

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

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.