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Numerical simulation of Preferential Deposition of Snow over 3D-hills

Authors

Yu,  Yang
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Shao,  Yaping
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Zhang,  Jie
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Huang,  Ning
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Yu, Y., Shao, Y., Zhang, J., Huang, N. (2023): Numerical simulation of Preferential Deposition of Snow over 3D-hills, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3738


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020805
Abstract
Snow distribution patterns affected strongly by topography and near surface wind, is an important input quantity for the hydrological model. Earlier numerical studies on preferential deposition of snow mostly focused on two-dimensional terrains, and few on three-dimensional (3D) terrains. In this work, a 3D-hill is considered as the basic element of complex terrains, and the preferential deposition of snow over 3D-hills with varying obstacle Reynolds numbers are simulated using the large-eddy simulation model ARPS (Advanced Regional Prediction System). The results showed that the strength of the wind structure on leeward slope is the mean factor influence snow deposition pattern over 3D-hills; the PDF of the snow deposit intensity over 3D-hills follows Gaussian distribution which changes with obstacle Reynolds number; and the average snow deposit intensity has exponential relationship with obstacle Reynolds number. This work provides the necessary knowledge of snow accumulation over three-dimensional terrains, valuable for the estimation of large-scale snow patterns and albedo parameterization.