International Snow Science Workshop Proceedings - Montana State University Library

Item: FROM ZERO TO OPERATIONAL: RAPID DEPLOYMENT OF SNOW COVER SIMULATIONS VIA THE OPEN SOURCE FRAMEWORK AWSOME

• • Title: FROM ZERO TO OPERATIONAL: RAPID DEPLOYMENT OF SNOW COVER SIMULATIONS VIA THE OPEN SOURCE FRAMEWORK AWSOME

    Proceedings: Proceedings, International Snow Science Workshop, Whistler, BC, Canada, 2026

    Authors:

    • Michael Reisecker  [ Avalanche Warning Service Salzburg, GeoSphere Austria ]  [ Alpine Software Mag. Michael Reiseker ]  [ AWSOME Core Team ]
    • Michael Binder  [ Avalanche Warning Service Tirol, Innsbruck, Austria ]  [ Institute of Atmospheric Physics, German Aerospace Center, Oberpfaffenhofen, Germany ]  [ AWSOME Core Team ]
    • Florian Herla  [ Avalanche Research Program, Simon Fraser University, Burnaby, BC, Canada ]  [ The Norwegian Water Resource and Energy Directorate (NVE), Oslo, Norway ]  [ AWSOME Core Team ]
    • Christoph Mitterer  [ Avalanche Warning Service Tirol, Innsbruck, Austria ]  [ AWSOME Core Team ]

    Date: 2026-09-28

    Abstract: The Avalanche Warning Service Operational Meteo Environment (AWSOME) is an open-source framework for seasonal snow-cover modeling in both research and operational avalanche warning. It addresses the recurring technical effort required to connect meteorological data, snow models, post-processing, visualization, and deployment into reproducible workflows. AWSOME provides modular tools for acquiring and harmonizing forcing data, running distributed snowpack simulations, initializing models from observations, deriving instability information, and visualizing results. Workflows can range from small standalone experiments to continuously running operational model chains, while sharing the same interfaces and data structures. Open data sources allow workflows to be transferred between regions with little additional setup. The framework is designed to keep technical complexity inside the system rather than passing it on to the user. In this way, AWSOME aims to lower the barrier to state-of-the-art snow-cover modeling, make research workflows easier to reproduce and operationalize, and provide a common foundation for collaborative development across the snow and avalanche community.

    Object ID: ISSW2026_P3.46.pdf

    DOI: https://doi.org/10.15788/1790099196

    Language of Article: English

    Presenter(s): Michael Reisecker

    Keywords: modeling, forecasting, snowpack, AWSOME

    Page Number(s): 1911 - 1918

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