Evaluating the predictive performance of human avalanche forecasts and model predictions in Switzerland

This data set was used in the analysis by Techel et al. Forecasting avalanche danger: human-made forecasts vs. fully automated model-driven predictions, submitted to Natural Hazards Earth System Sciences on 20 Aug 2024. The repository contains data from two avalanche forecasting seasons (2022/2023, 2023/2024) in Switzerland.

Interpolated predictions - The .zip file contains the interpolated predictions for the three models in nowcast- and forecast- mode. This data is needed to reproduce the figures and tables in the submitted preprint.

The other data are the raw data underlying the interpolations: - Avalanche forecast by WSL Institute for Snow and Avalanche Research SLF, published at 17.00 local time, valid for the following 24 hours and relating to dry snow avalanche conditions. - Model predictions in nowcast- and forecast-mode for three models (danger level, instability, natural avalanche), valid for 12.00 local time - Subset of points extracted from GPS tracks (courtesy of Skitourenguru GmbH) - Avalanche observations - natural avalanches and human-triggered avalanches - Estimates of the snowline - Randomly chosen subset of grid points used for generating reference distributions

For details regarding the data sets refer to the publication.

Funding Information:

This work was supported by:
  • WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland

Related Publications

Publication: Techel, Frank; Mayer, Stephanie; Purves, Ross S.; Schmudlach, Günter, Winkler, Kurt: Forecasting avalanche danger: human-made forecasts vs. fully automated model-driven predictions, submitted to Natural Hazards Earth System Sciences on 20 Aug 2024

Publications describing the three models: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A35601 https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:32201 https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:30749

Citation:

Techel, Frank; Schmudlach, Günter (2024). Evaluating the predictive performance of human avalanche forecasts and model predictions in Switzerland. EnviDat. doi:10.16904/envidat.535.

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Data and Resources

Metadata

Field Values
DOI 10.16904/envidat.535
Publication State Published
Authors
  • Email: techelfoo(at)slf.ch Given Name: Frank Family Name: Techel
  • Email: schmudlachfoo(at)gmx.ch Given Name: Günter Family Name: Schmudlach Affiliation: Skitourenguru GmbH
Contact Person Given Name: Frank Family Name: Techel Email: techelfoo(at)slf.ch
Subtitles
Publication Publisher: EnviDat Year: 2024
Dates
  • Type: Created Date: 2022-11-01 End Date: 2024-04-30
  • Type: Collected Date: 2022-11-01 End Date: 2024-04-30
Version
Type dataset
General Type Dataset
Language
Location
Content License Creative Commons Attribution Share-Alike (CC-BY-SA)    [Open Data]
Last Updated August 21, 2024, 14:52 (UTC)
Created August 19, 2024, 09:52 (UTC)