Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 16
Articles | Volume 15, issue 16
https://doi.org/10.5194/gmd-15-6429-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6429-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 16
Model description paper
 | 
29 Aug 2022
Model description paper |  | 29 Aug 2022

Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

Océane Hames, Mahdi Jafari, David Nicholas Wagner, Ian Raphael, David Clemens-Sewall, Chris Polashenski, Matthew D. Shupe, Martin Schneebeli, and Michael Lehning

Data sets

10-meter (m) meteorological flux tower measurements (Level 1 Raw), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September 2020 C. Cox, M. Gallagher, M. Shupe, O. Persson, A. Solomon, B. Blomquist, I. Brooks, D. Costa, D. Gottas, J. Hutchings, J. Osborn, and S. Morris Preusser, A., and Uttal, T. https://doi.org/10.18739/A2VM42Z5F

Terrestrial Laser Scans of the Snow 2 area of the Multidisciplinary drifting Observatory for the Study of Arctic Climate from November 6 and 13 2019 David Clemens-Sewall https://doi.org/10.18739/A2DZ03304

Model code and software

snowBedFoam 1.0. Océane Hames, Mahdi Jafari, and Michael Lehning https://doi.org/10.16904/envidat.223

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Short summary
This paper presents an Eulerian–Lagrangian snow transport model implemented in the fluid dynamics software OpenFOAM, which we call snowBedFoam 1.0. We apply this model to reproduce snow deposition on a piece of ridged Arctic sea ice, which was produced during the MOSAiC expedition through scan measurements. The model appears to successfully reproduce the enhanced snow accumulation and deposition patterns, although some quantitative uncertainties were shown.
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