Preprints
https://doi.org/10.5194/egusphere-2025-3035
https://doi.org/10.5194/egusphere-2025-3035
07 Jul 2025
 | 07 Jul 2025

Simulating the effect of natural convection in a tundra snow cover

Mahdi Jafari and Michael Lehning

Abstract. As a straightforward solution to improve the one-dimensional physics-based multi-layer snow model SNOWPACK, a C++ interface is implemented for a tight coupling between SNOWPACK and OpenFOAM with the aim to investigate natural convection in real snow covers. OpenFOAM simulates convection in two dimensions based on SNOWPACK snow profiles and feeds the convective vapor fluxes back to SNOWPACK. Among different snow covers, significant convection events that are well synchronized with cold events are numerically observed by the SNOWPACK-OpenFOAM coupler for a herb tundra permafrost at Bylot Island only if we neglect wind slab formation for surface layers. We find significant sublimation in downward flow regions and that convection generates a low-density path extending vertically almost through the whole snow column. The strong footprint of convection on snow density and temperature with significant lateral variations up to 90 kg m−3 and 5 K respectively makes a consistent representation in the SNOWPACK one-dimensional profile difficult. But the most prominent effect of convection on the snow density profile, namely a low density foot and high density top, corresponds qualitatively to observations. Further work is required to adapt physical parameterizations in conventional snow models to represent this effect and its interaction with snow settling and metamorphism.

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Mahdi Jafari and Michael Lehning

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Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-3035', Kevin Fourteau, 06 Aug 2025
  • RC2: 'Comment on egusphere-2025-3035', Anonymous Referee #2, 05 Sep 2025
Mahdi Jafari and Michael Lehning
Mahdi Jafari and Michael Lehning

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Short summary
We studied how air moves within snow in Arctic regions and how this affects the snow's structure. Using a new method that links two computer models, we found that cold weather can trigger air movement inside the snow, creating vertical channels and changing the snow's density and temperature. These changes are not captured by traditional models, so our work helps improve how snow and climate processes are simulated in cold environments.
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