Articles | Volume 17, issue 17
https://doi.org/10.5194/gmd-17-6775-2024
https://doi.org/10.5194/gmd-17-6775-2024
Model description paper
 | 
12 Sep 2024
Model description paper |  | 12 Sep 2024

openAMUNDSEN v1.0: an open-source snow-hydrological model for mountain regions

Ulrich Strasser, Michael Warscher, Erwin Rottler, and Florian Hanzer

Data sets

Operational and experimental snow observation systems in the upper Rofental: data from 2017 to 2023 M. Warscher et al. https://doi.org/10.5194/essd-2024-45

The Rofental: a high Alpine research basin (1890 m-3770 m a.s.l.) in the Ötztal Alps (Austria) with over 150 years of hydro-meteorological and glaciological observations U. Strasser et al. https://doi.org/10.1594/PANGAEA.876120

Continuous meteorological and snow hydrological measurements for 2013-2023 from three automatic weather stations (AWS) in the upper Rofental, Ötztal Alps, Austria Department of Geography, University of Innsbruck https://doi.org/10.5880/fidgeo.2023.037

Model code and software

openAMUNDSEN U. Strasser et al. https://github.com/openamundsen/openamundsen

openAMUNDSEN v1.0.0 (v1.0.0) F. Hanzer et al. https://doi.org/10.5281/zenodo.11859175

IGSN

The Rofental: a high Alpine research basin (1890 m-3770 m a.s.l.) in the Ötztal Alps (Austria) with over 150 years of hydro-meteorological and glaciological observations U. Strasser et al. https://doi.org/10.1594/PANGAEA.876120

Continuous meteorological and snow hydrological measurements for 2013-2023 from three automatic weather stations (AWS) in the upper Rofental, Ötztal Alps, Austria Department of Geography, University of Innsbruck https://doi.org/10.5880/fidgeo.2023.037

openAMUNDSEN example data (v1.0) F. Hanzer et al. https://doi.org/10.5281/zenodo.13740611

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Short summary
openAMUNDSEN is a fully distributed open-source snow-hydrological model for mountain catchments. It includes process representations of an empirical, semi-empirical, and physical nature. It uses temperature, precipitation, humidity, radiation, and wind speed as forcing data and is computationally efficient, of a modular nature, and easily extendible. The Python code is available on GitHub (https://github.com/openamundsen/openamundsen), including documentation (https://doc.openamundsen.org).