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

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Cited articles

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Bovee, M., Srivastava, R. P., and Mak, B.: A conceptual framework and belief – function approach to assessing overall information quality, Int. J. Intell. Syst., 18, 51–74, https://doi.org/10.1002/int.10074, 2003. a
Brun, E., David, P., Sudul, M., and Brunot, G.: A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting, J. Glaciol., 38, 13–22, https://doi.org/10.3189/S0022143000009552, 1992. a
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.
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