Learn more about Data-set for prediction of natural dry-snow avalanche activity and avalanche size using physics-based snowpack simulations, a dataset from Swiss Federal Institute for Forest, Snow and Landscape Research, on Open Net Zero

Data-set for prediction of natural dry-snow avalanche activity and avalanche size using physics-based snowpack simulations

L o a d i n g

Organization

Swiss Federal Institute for Forest, Snow and Landscape Research - view all

Update frequencyunknown

Last updated2 years ago

Format

CSV

Overview

The data set contained in this repository was used in the analysis by Mayer et al. (2023): Mayer, S. I., Techel, F., Schweizer, J., and van Herwijnen, A.: Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations, EGUsphere, https://doi.org/10.5194/egusphere-2023-646, 2023.

AVALANCHE AVALANCHE SIZE MACHINE LEARNING NATURAL AVALANCHES SNOWPACK MODEL

Additional Information

KeyValue

Harvest Object Id48031da9-4933-499e-9a56-46daafe50007

Harvest Source Id8fc5dcf9-738c-468f-985c-d55347a92f88

Harvest Source TitleEnviDat

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Assuranceunknown

Data Sensitivity Classunknown

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Files

dataForAvalancheDayModelDevelopment.csv
CSV
1.6MDownload
dataForAvalancheSizeModelDevelopment.csv
CSV
423.7kDownload
dataForValidationWithDangerLevels.csv
CSV
34.6MDownload
dataForValidationDavos.csv
CSV
74.4kDownload