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The Cryosphere An interactive open-access journal of the European Geosciences Union
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TC | Volume 13, issue 7
The Cryosphere, 13, 1767–1784, 2019
https://doi.org/10.5194/tc-13-1767-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 1767–1784, 2019
https://doi.org/10.5194/tc-13-1767-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Jul 2019

Research article | 04 Jul 2019

Converting snow depth to snow water equivalent using climatological variables

David F. Hill et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lorena Grabowski on behalf of the Authors (18 Apr 2019)  Author's response
ED: Referee Nomination & Report Request started (30 Apr 2019) by Jürg Schweizer
RR by Adam Winstral (10 May 2019)
ED: Reconsider after major revisions (14 May 2019) by Jürg Schweizer
AR by David Hill on behalf of the Authors (03 Jun 2019)  Author's response    Manuscript
ED: Publish as is (10 Jun 2019) by Jürg Schweizer
Publications Copernicus
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Short summary
We present a new statistical model for converting snow depths to water equivalent. The only variables required are snow depth, day of year, and location. We use the location to look up climatological parameters such as mean winter precipitation and mean temperature difference (difference between hottest month and coldest month). The model is simple by design so that it can be applied to depth measurements anywhere, anytime. The model is shown to perform better than other widely used approaches.
We present a new statistical model for converting snow depths to water equivalent. The only...
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