Model output for "SNOWstorm (v1.0) - a deep-learning based model for near-surface winds and drifting snow in mountain environments"

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Authors: Manuel Saigger, Brigitta Goger, Thomas Mölg
Cited by: 0

Abstract

Meso-scale simulations with the Weather Research and Forecasting model used to drive the Large-eddy simulations and predictions with the machine-learning model in the publications "SNOWstorm (v1.0) - a deep-learning based model for near-surface winds and drifting snow in mountain environments", submitted to Geoscientific Model Development and "A novel framework to investigate wind-driven snow redistribution over an Alpine glacier: combination of high-resolution terrestrial laser scans and large-eddy simulations", https://doi.org/10.5194/tc-18-849-2024.

Fields of Study & Subjects

Cryospheric studies and observations Meteorological Phenomena and Simulations Wind and Air Flow Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026
Document type
Dataset