Articles | Volume 16, issue 17
https://doi.org/10.5194/gmd-16-5049-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5049-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The High-resolution Intermediate Complexity Atmospheric Research (HICAR v1.1) model enables fast dynamic downscaling to the hectometer scale
Institute for Snow and Avalanche Research SLF, Davos, Switzerland
School of Architecture, Civil and Environmental Engineering, Ècole Polytechnique Fèdèrale de Lausanne, Lausanne, Switzerland
Ethan Gutmann
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA
Bert Kruyt
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA
Subzero Research Laboratory, Montana State University, Bozeman, MT, USA
Michael Haugeneder
Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Tobias Jonas
Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Franziska Gerber
Institute for Snow and Avalanche Research SLF, Davos, Switzerland
School of Architecture, Civil and Environmental Engineering, Ècole Polytechnique Fèdèrale de Lausanne, Lausanne, Switzerland
Michael Lehning
Institute for Snow and Avalanche Research SLF, Davos, Switzerland
School of Architecture, Civil and Environmental Engineering, Ècole Polytechnique Fèdèrale de Lausanne, Lausanne, Switzerland
Rebecca Mott
Institute for Snow and Avalanche Research SLF, Davos, Switzerland
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Cited
12 citations as recorded by crossref.
- Snow redistribution in an intermediate-complexity snow hydrology modelling framework L. Quéno et al. https://doi.org/10.5194/tc-18-3533-2024
- Intermediate complexity atmospheric modeling in complex terrain: is it right? D. Reynolds et al. https://doi.org/10.3389/feart.2024.1388416
- Assessing wind dynamics and turbine power at Princess Elisabeth station, Antarctica, using Doppler wind LiDAR and vertical array anemometers B. van Schaik et al. https://doi.org/10.1016/j.enconman.2026.121074
- Seasonal snow–atmosphere modeling: let's do it D. Reynolds et al. https://doi.org/10.5194/tc-18-4315-2024
- Large eddy simulation of near-surface boundary layer dynamics over patchy snow M. Haugeneder et al. https://doi.org/10.3389/feart.2024.1415327
- Ensemble-based data assimilation improves hyperresolution snowpack simulations in forests E. Alonso-González et al. https://doi.org/10.5194/tc-20-209-2026
- Investigating the influence of changing ice surfaces on gravity wave formation impacting glacier boundary layer flow with large-eddy simulations B. Goger et al. https://doi.org/10.5194/wcd-6-345-2025
- Filtering non-urban signals reveals strong urbanization impacts on long-term near-surface wind speed changes over eastern China S. Fu & D. Chen https://doi.org/10.1016/j.accre.2026.06.014
- Resolving three-dimensional wind velocity fields in complex terrain using sequential wind-Doppler LiDAR, CFD and wind turbine measurements - Gotthard Pass, Switzerland B. van Schaik et al. https://doi.org/10.12688/openreseurope.19095.3
- Snow cover over the Iberian mountains in km-scale global climate simulations: Evaluation and projected changes D. García-Maroto et al. https://doi.org/10.1016/j.ejrh.2026.103755
- SNOWstorm (v1.0) – a deep-learning based model for near-surface winds and drifting snow in mountain environments M. Saigger et al. https://doi.org/10.5194/gmd-19-6497-2026
- Resolving three-dimensional wind velocity fields with sequential wind-Doppler LiDAR for wind energy in the complex terrain - Gotthard Pass, Switzerland B. van Schaik et al. https://doi.org/10.12688/openreseurope.19095.2
12 citations as recorded by crossref.
- Snow redistribution in an intermediate-complexity snow hydrology modelling framework L. Quéno et al. https://doi.org/10.5194/tc-18-3533-2024
- Intermediate complexity atmospheric modeling in complex terrain: is it right? D. Reynolds et al. https://doi.org/10.3389/feart.2024.1388416
- Assessing wind dynamics and turbine power at Princess Elisabeth station, Antarctica, using Doppler wind LiDAR and vertical array anemometers B. van Schaik et al. https://doi.org/10.1016/j.enconman.2026.121074
- Seasonal snow–atmosphere modeling: let's do it D. Reynolds et al. https://doi.org/10.5194/tc-18-4315-2024
- Large eddy simulation of near-surface boundary layer dynamics over patchy snow M. Haugeneder et al. https://doi.org/10.3389/feart.2024.1415327
- Ensemble-based data assimilation improves hyperresolution snowpack simulations in forests E. Alonso-González et al. https://doi.org/10.5194/tc-20-209-2026
- Investigating the influence of changing ice surfaces on gravity wave formation impacting glacier boundary layer flow with large-eddy simulations B. Goger et al. https://doi.org/10.5194/wcd-6-345-2025
- Filtering non-urban signals reveals strong urbanization impacts on long-term near-surface wind speed changes over eastern China S. Fu & D. Chen https://doi.org/10.1016/j.accre.2026.06.014
- Resolving three-dimensional wind velocity fields in complex terrain using sequential wind-Doppler LiDAR, CFD and wind turbine measurements - Gotthard Pass, Switzerland B. van Schaik et al. https://doi.org/10.12688/openreseurope.19095.3
- Snow cover over the Iberian mountains in km-scale global climate simulations: Evaluation and projected changes D. García-Maroto et al. https://doi.org/10.1016/j.ejrh.2026.103755
- SNOWstorm (v1.0) – a deep-learning based model for near-surface winds and drifting snow in mountain environments M. Saigger et al. https://doi.org/10.5194/gmd-19-6497-2026
- Resolving three-dimensional wind velocity fields with sequential wind-Doppler LiDAR for wind energy in the complex terrain - Gotthard Pass, Switzerland B. van Schaik et al. https://doi.org/10.12688/openreseurope.19095.2
Saved (final revised paper)
Latest update: 29 Jul 2026
Short summary
The challenge of running geophysical models is often compounded by the question of where to obtain appropriate data to give as input to a model. Here we present the HICAR model, a simplified atmospheric model capable of running at spatial resolutions of hectometers for long time series or over large domains. This makes physically consistent atmospheric data available at the spatial and temporal scales needed for some terrestrial modeling applications, for example seasonal snow forecasting.
The challenge of running geophysical models is often compounded by the question of where to...