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. Can model-based avalanche forecasts match the discriminatory skill of human danger level forecasts? A comparison from Switzerland. Please note that the title of the preprint was Forecasting avalanche danger: human-made forecasts vs. fully automated model-driven predictions, submitted to Natural Hazards Earth System Sciences on 20 Aug 2024. The final manuscript used data from three forecasting seasons (2022/2023, 2023/2024, 2024/2025) , the preprint two forecasting seasons (2022/2023, 2023/2024) . Currently, the repository contains data from two avalanche forecasting seasons in Switzerland. The third season will be added (to be done, 30 June 2025). 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.