Articles | Volume 20, issue 6
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

Benjamin, S. G., Brown, J. M., Brunet, G., Lynch, P., Saito, K., and Schlatter, T. W.: 100 years of progress in forecasting and NWP applications, Meteorol. Monogr., 59, 13.1–13.67,, 2019. a, b, c
Birch, J.: Worldwide prevalence of red-green color deficiency, J. Opt. Soc. Am,, 29, 313–320,, 2012. a
Blackwell, A. F.: Pictorial representation and metaphor in visual language design, J. Vis. Lang. Comput., 12, 223–252,, 2001. a
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,, 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,, 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.
Final-revised paper