Snow profile alignment and similarity assessment for aggregating, clustering, and evaluating of snowpack model output for avalanche forecasting
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Snow profile alignment and similarity assessment for aggregating, clustering, and evaluating of snowpack model output for avalanche forecasting ; year:2020 ; pages:1-28
Geoscientific model development discussions ; (2020), 1-28
- Creator
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Herla, Florian
Horton, Simon
Mair, Patrick
Haegeli, Pascal
- DOI
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10.5194/gmd-2020-171
- URN
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urn:nbn:de:101:1-2020081305455486758271
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:52 AM CEST
Data provider
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Associated
- Herla, Florian
- Horton, Simon
- Mair, Patrick
- Haegeli, Pascal
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Snow profile alignment and similarity assessment for aggregating, clustering, and evaluating snowpack model output for avalanche forecasting
On the importance of snowpack stability, the frequency distribution of snowpack stability, and avalanche size in assessing the avalanche danger level
Combining modelled snowpack stability with machine learning to predict avalanche activity
Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations
Using snow depth observations to provide insight into the quality of snowpack simulations for regional-scale avalanche forecasting
Using snow depth observation to provide insight into the quality of regional-scale snowpack simulations for avalanche forecasting
Spatial snowpack properties in a snow-avalanche release area: An extreme dry-slab avalanche case on Mt. Nodanishoji, Japan, in 2021
Aggregating Algorithm for prediction of packs
On the importance of snowpack stability, its frequency distribution, and avalanche size in assessing the avalanche danger level: a data-driven approach
A Large-scale Validation of Snowpack Simulations in Support of Avalanche Forecasting Focusing on Critical Layers
A large-scale validation of snowpack simulations in support of avalanche forecasting focusing on critical layers
A quantitative module of avalanche hazard—comparing forecaster assessments of storm and persistent slab avalanche problems with information derived from distributed snowpack simulations
Snow profile alignment and similarity assessment for aggregating, clustering, and evaluating snowpack model output for avalanche forecasting
On the importance of snowpack stability, the frequency distribution of snowpack stability, and avalanche size in assessing the avalanche danger level
Combining modelled snowpack stability with machine learning to predict avalanche activity
Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations
Using snow depth observations to provide insight into the quality of snowpack simulations for regional-scale avalanche forecasting
Using snow depth observation to provide insight into the quality of regional-scale snowpack simulations for avalanche forecasting
Spatial snowpack properties in a snow-avalanche release area: An extreme dry-slab avalanche case on Mt. Nodanishoji, Japan, in 2021
Aggregating Algorithm for prediction of packs
On the importance of snowpack stability, its frequency distribution, and avalanche size in assessing the avalanche danger level: a data-driven approach
A Large-scale Validation of Snowpack Simulations in Support of Avalanche Forecasting Focusing on Critical Layers
A large-scale validation of snowpack simulations in support of avalanche forecasting focusing on critical layers