Enhancing the operational value of snowpack  models with visualization design principles

Horton, Simon; Nowak, Stan; Haegeli, Pascal

doi:https://doi.org/10.5194/nhess-20-1557-2020

Articles | Volume 20, issue 6

https://doi.org/10.5194/nhess-20-1557-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-20-1557-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

Snow profile visualization S. Horton, S. Nowak, and P. Haegeli https://doi.org/10.17605/OSF.IO/G5R7K

Model code and software

Snow profile visualization S. Horton, S. Nowak, and P. Haegeli https://doi.org/10.17605/OSF.IO/G5R7K

Enhancing the operational value of snowpack models with visualization design principles S. Horton, S. Nowak, and P. Haegeli https://www.avalancheresearch.ca/pubs/2020_horton_snowpackvis/

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.