Articles | Volume 20, issue 6
https://doi.org/10.5194/nhess-20-1557-2020
https://doi.org/10.5194/nhess-20-1557-2020
Research article
 | 
02 Jun 2020
Research article |  | 02 Jun 2020

Enhancing the operational value of snowpack models with visualization design principles

Simon Horton, Stan Nowak, and Pascal Haegeli

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (17 Apr 2020) by Margreth Keiler
AR by Simon Horton on behalf of the Authors (23 Apr 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (03 May 2020) by Margreth Keiler
Short summary
Numeric snowpack models currently offer limited value to operational avalanche forecasters. To improve the relevance and interpretability of model data, we introduce and discuss visualization principles that map model data into visual representations that can inform avalanche hazard assessments.
Altmetrics
Final-revised paper
Preprint