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.

Data e Risorse

Snowline estimates 2023/2024XLS
Daily snowline estimates provided by observers for North (aspect = 0) and...
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Model predictions (interpolated)ZIP
The zip file contains csv-files the interpolated model predictions for three...
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Human-triggered avalanches 2022/2023XLS
The file contains the reported human-triggered avalanches. The variables are...
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Human-triggered avalanches 2023/2024XLS
The file contains the reported human-triggered avalanches. The variables are...
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GPS data and human-triggered avalanchesXLS
Contains (1) the subset of points extracted from GPS tracks recorded during...
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Model predictions (raw data)ZIP
Model predictions (raw data) for three models, in nowcast and forecast mode....
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Natural avalanches 2022/2023XLS
Natural avalanche observation (dry avalanches). 2022-2023 forecasting season.
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Randomly sampled subset of grid points from 1 ...XLS
Contains the randomly sampled subset of grid points from 1 km DEM. Three...
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Natural avalanches 2023/2024 XLS
Natural avalanche observation (dry avalanches). 2023/2024 forecasting season.
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Avalanche forecastXLS
Data contains forecasts relating to dry-snow avalanche conditions only....
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Snowline estimates 2022/2023XLS
Daily snowline estimates provided by observers for North (aspect = 0) and...
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- Download

Informazioni aggiuntive

Identificatore

f821b651-245a-47b6-95d4-64c5497b8b21@envidat

Titolo per l’URL del dataset

evaluating-the-predictive-performance-of-human-avalanche-forecasts-and-model-predictions-in-swi

Pianificare la pubblicazione del dataset

Data di pubblicazione

Agosto 19, 2024

Data ultima modifica

Agosto 21, 2024

Conforme a

Intervallo di aggiornamento

Copertura temporale

Dataset Information

EnviDat

Punti di contatto

Lingue

Inglese

Url

https://www.envidat.ch/#/metadata/comparing-human-forecasts-with-model-predictions

Beziehungen

Spaziale

Set di dati relativi

Documentazione

Parole chiave

Condizioni d'uso

https://opendata.swiss/terms-of-use#terms_by

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