- Zuletzt aktualisiert
- 4. März 2025
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Beschreibung
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.
Ressourcen
- XLS Snowline estimates 2023/2024
- XLS Snowline estimates 2022/2023
- XLS Randomly sampled subset of grid points from 1...
- XLS Natural avalanches 2023/2024
- XLS Natural avalanches 2022/2023
- ZIP Model predictions (raw data)
- ZIP Model predictions (interpolated)
- XLS Human-triggered avalanches 2023/2024
- XLS Human-triggered avalanches 2022/2023
- XLS GPS data and human-triggered avalanches
- XLS Avalanche forecast
Showcases
Zusätzliche Informationen
- Identifier
- f821b651-245a-47b6-95d4-64c5497b8b21@envidat
- Publikationsdatum
- 19. August 2024
- Änderungsdatum
- 4. März 2025
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- Englisch
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- https://www.envidat.ch/#/metadata/comparing-human-forecasts-with-model-predictions
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