Applicability Study of Euler–Lagrange Integration Scheme in Constructing Small-Scale Atmospheric Dynamics Models

The atmospheric flow field and weather processes exhibit complex and variable characteristics at small scales, involving interactions between terrain features and atmospheric physics. To investigate the mechanisms of these process further, this study employs a Lagrangian particle motion model combin...

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Bibliographic Details
Published in:Atmosphere 2024-06, Vol.15 (6), p.644
Main Authors: Wei, Xiangqian, Liu, Yi, Guo, Jun, Chang, Xinyu, Li, Haochuan
Format: Article
Language:English
Subjects:
Accuracy
Atmospheric dynamics
atmospheric flow field
Atmospheric physics
Atmospheric pressure
Computation
Computing time
Convective precipitation
Emergency communications systems
Euler–Lagrange hybrid model
Flow simulation
Particle motion
Physics
Precipitation processes
Simulation
Terrain
Wind
Wind fields
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Summary:The atmospheric flow field and weather processes exhibit complex and variable characteristics at small scales, involving interactions between terrain features and atmospheric physics. To investigate the mechanisms of these process further, this study employs a Lagrangian particle motion model combined with a Euler background field approach to construct a small-scale atmospheric flow field model. The model streamlines the modeling process by combining the benefits of the Lagrangian dynamics model and the Eulerian integration scheme. To verify the effectiveness of the Euler–Lagrange hybrid model, experiments using the Fluent wind field model were conducted for comparison. The results show that both models have their advantages in handling terrain-induced wind fields. The Fluent model excels in simulating the general characteristics of wind fields under specific terrain, while the Euler–Lagrange hybrid model is better at capturing the upstream and downstream disturbances of the terrain on the atmospheric flow field. These findings provide powerful tools for in-depth diagnostic analysis of atmospheric flow simulation and convective precipitation processes. Notably, the Euler–Lagrange hybrid model demonstrates excellent computational efficiency, with an average computation time of approximately 2 s per time step in a Python environment, enabling rapid simulation of 40 time steps within approximately 90 s.
ISSN:2073-4433
2073-4433
DOI:10.3390/atmos15060644