Examining the operational use of avalanche problems with decision trees and model-generated weather and snowpack variables

Horton, Simon; Towell, Moses; Haegeli, Pascal

doi:https://doi.org/10.5194/nhess-20-3551-2020

Articles | Volume 20, issue 12

https://doi.org/10.5194/nhess-20-3551-2020

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

https://doi.org/10.5194/nhess-20-3551-2020

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

Articles | Volume 20, issue 12

Research article

|

18 Dec 2020

Research article |

| 18 Dec 2020

Examining the operational use of avalanche problems with decision trees and model-generated weather and snowpack variables

Simon Horton, Moses Towell, and Pascal Haegeli

Data sets

Avalanche problem decision trees (code and data) Simon Horton, Moses Towell, and Pascal Haegeli https://doi.org/10.17605/OSF.IO/YPZHE

Model code and software

Avalanche problem decision trees (code and data) Simon Horton, Moses Towell, and Pascal Haegeli https://doi.org/10.17605/OSF.IO/YPZHE

Short summary

We investigate patterns in how avalanche forecasters characterize snow avalanche hazard with avalanche problem types. Decision tree analysis was used to investigate both physical influences based on weather and on snowpack variables and operational practices. The results highlight challenges with developing decision aids based on previous hazard assessments.