Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
The Cryosphere, 11, 989-996, 2017
https://doi.org/10.5194/tc-11-989-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
20 Apr 2017
Process-level model evaluation: a snow and heat transfer metric
Andrew G. Slater et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'A very useful and concise paper', Anonymous Referee #1, 13 Dec 2016 Printer-friendly Version 
AC1: 'Response to Reviewer Comments', David Lawrence, 15 Mar 2017 Printer-friendly Version Supplement 
 
RC2: 'Nice paper and a useful model diagnostic', Anonymous Referee #2, 23 Dec 2016 Printer-friendly Version 
AC2: 'Response to Reviewer Comments', David Lawrence, 15 Mar 2017 Printer-friendly Version Supplement 
 
RC3: 'Review of Slater et al.', Anonymous Referee #3, 27 Dec 2016 Printer-friendly Version 
AC3: 'Response to Reviewer Comments', David Lawrence, 15 Mar 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by David Lawrence on behalf of the Authors (15 Mar 2017)  Author's response  Manuscript
ED: Publish as is (16 Mar 2017) by Martin Schneebeli  
CC BY 4.0
Publications Copernicus
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Short summary
This work defines a metric for evaluation of a specific model snow process, namely, heat transfer through snow into soil. Heat transfer through snow regulates the difference in air temperature versus soil temperature. Accurate representation of the snow heat transfer process is critically important for accurate representation of the current and future state of permafrost. Utilizing this metric, we can clearly identify models that can and cannot reasonably represent snow heat transfer.
This work defines a metric for evaluation of a specific model snow process, namely, heat...
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