Environmental Data: Evaluating the predictive performance of human ava...
Description
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 forecast...
Citation
Techel, F., Schmudlach, G. (2024). Evaluating the predictive performance of human avalanche forecasts and model predictions in Switzerland. EnviDat. https://www.doi.org/10.16904/envidat.535.
Resources
Snowline estimates 2023/2024
Daily snowline estimates provided by observers for North (aspect = 0) and South (aspect = 180) slopes for the 2023/2024 season. For aspects in between North and South, values are interpolated. Contains observation date (date), coordinates (Swiss coordinates x, y), snowline elevation (snowline), and aspect.
Snowline estimates 2023/2024Snowline estimates 2022/2023
Daily snowline estimates provided by observers for North (aspect = 0) and South (aspect = 180) slopes for the 2022/2023 season. For aspects in between North and South, values are interpolated. Contains observation date (date), coordinates (Swiss coordinates x, y), snowline elevation (snowline), and aspect.
Snowline estimates 2022/2023Randomly sampled subset of grid points from 1 km DEM
Contains the randomly sampled subset of grid points from 1 km DEM. Three variables: coordinates (x, y) and elevation (elev).
Randomly sampled subset of grid points from 1 km DEMAvalanche forecast
Data contains forecasts relating to dry-snow avalanche conditions only. Forecast issued at 17.00 local time. Contains variables for the warning region (sector_id), publication date (date), danger level - sub-level combination expressed using numeric values (integer value of danger level -0.33 for sub-level minus, -0 for sub-level neutral, +0.33 for sub-level plus, altitude as indicated in the bulletin, and whether aspect (North = 0, Northeast = 45, ...) was indicated in the bulletin (no: 0, yes: 1).
Avalanche forecastGPS data and human-triggered avalanches
Contains (1) the subset of points extracted from GPS tracks recorded during backcountry touring and uploaded to the website skitourenguru.ch and (2) the corresponding subset of human-triggered avalanches. Data (1) was provided by Skitourenguru GmbH and data (2) was collected by SLF. - Variables contained are date, Swiss coordinates (x, y), aspect (N = 0, NE = 45, ...), elevation (ele), and event (event = 1, non-event = 0).
GPS data and human-triggered avalanchesNatural avalanches 2023/2024
Natural avalanche observation (dry avalanches). 2023/2024 forecasting season.
Natural avalanches 2023/2024Natural avalanches 2022/2023
Natural avalanche observation (dry avalanches). 2022-2023 forecasting season.
Natural avalanches 2022/2023Human-triggered avalanches 2022/2023
The file contains the reported human-triggered avalanches. The variables are as follows: id, release date (date), name, Swiss coordinates (x,y), elevation (ele), remark, reported avalanche size expressed using avalanche activity index (sizeAAI), aspect, event type (type), event (yes = 1, no = 0)
Human-triggered avalanches 2022/2023Human-triggered avalanches 2023/2024
The file contains the reported human-triggered avalanches. The variables are as follows: id, release date (date), name, Swiss coordinates (x,y), elevation (ele), remark, reported avalanche size expressed using avalanche activity index (sizeAAI), aspect, event type (type), event (yes = 1, no = 0)
Human-triggered avalanches 2023/2024Model predictions (interpolated)
The zip file contains csv-files the interpolated model predictions for three models, in forecast and nowcast-mode, for the three different data sets, as described in the publication.
Model predictions (interpolated)Model predictions (raw data)
Model predictions (raw data) for three models, in nowcast and forecast mode. Not all models are available for both seasons. - These data are the basis for the interpolated predictions, which can be found in the other zip-folder
Model predictions (raw data)