LBM雪堆模型输出与观测结果的比较

IF 3.5 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Seika Tanji, Masaru Inatsu, Yusuke Harada
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引用次数: 0

摘要

本文利用积雪模型进行了相当于一次漂移雪事件的积雪实验。该模型由晶格玻尔兹曼法大涡模拟的计算流体力学部分和典型拉格朗日粒子的常规平流算法的漂移雪部分组成。以特贺镇一次4 h漂移雪事件的垂直风廓线观测作为模型的入流边界条件,将模型估计的积雪量与观测到的积雪分布进行比较。并行化使我们能够在一个真实的域和单次漂移雪事件的时间尺度上模拟积雪分布。我们证明,升级后的模型可以定量地再现观测到的雪堆沿三维围栏中心的高度和位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comparison of the LBM snowdrift model output with the observation results

Comparison of the LBM snowdrift model output with the observation results

In this work, snowdrift experiments which are equivalent to one drifting snow event are performed by the snowdrift model. The model consisted of the computational fluid dynamics part of the large-eddy simulation with the lattice Boltzmann method and the drifting snow part of the conventional advection algorithm for representative Lagrangian particles. The observed vertical wind profile of a 4 h drifting snow event in Teshikaga Town was used as the inflow boundary conditions in the model to compare the results of the snowdrift estimated by the model and the observed snowdrift distribution. Parallelization enabled us to simulate the snowdrift distribution in a realistic domain and on the time scale of a single drifting snow event. We demonstrated that the upgraded model could quantitatively reproduce the height and position of the observed snowdrift along the center of a three-dimensional fence.

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来源期刊
Progress in Earth and Planetary Science
Progress in Earth and Planetary Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
6.50
自引率
5.10%
发文量
59
审稿时长
31 weeks
期刊介绍: Progress in Earth and Planetary Science (PEPS), a peer-reviewed open access e-journal, was launched by the Japan Geoscience Union (JpGU) in 2014. This international journal is devoted to high-quality original articles, reviews and papers with full data attached in the research fields of space and planetary sciences, atmospheric and hydrospheric sciences, human geosciences, solid earth sciences, and biogeosciences. PEPS promotes excellent review articles and welcomes articles with electronic attachments including videos, animations, and large original data files. PEPS also encourages papers with full data attached: papers with full data attached are scientific articles that preserve the full detailed raw research data and metadata which were gathered in their preparation and make these data freely available to the research community for further analysis.
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