NoAI: This model, simulation, images, or project may not be utilized within datasets, during the developmental process, or as inputs for generative AI programs.
The interplay between airflow and snow cover exhibits a complex coupling relationship. Over the course of hours or even days, airflow induces snow redistribution, while the redistributed snow, in turn, alters the airflow patterns. This research introduces a dynamic mesh technology that enables real-time updates to depict the evolution of the snow surface during prolonged snow drifting. The study employs a solver called driftScalarDyFoam, based on OpenFOAM, which divides the snow drifting process into stages and utilizes a snow transport equation to predict the spatial distribution of snow. The snow surface evolves based on an erosion-deposition model. The proposed method has been successfully validated through various measured cases, including snow distribution on a flat roof and around a building. The images and data used here are adapted from the work of: Xiaoxiao Chen, Zhixiang Yu in the article titled '[DriftScalarDyFoam: An OpenFOAM-Based Multistage Solver for Drifting Snow and Its Distribution Around Buildings]' published in the journal [Frontiers in Earth Science]. The source of the these can be found at [Link to the Source: https://doi.org/10.3389/feart.2022.822140.s027] . The images and data are licensed under CC BY 4.0 [License Link: https://creativecommons.org/licenses/by/4.0/]."