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Study of Boundary Layer Parameterization Simulation Uncertainties of Sand-Dust Storm Windfield Using High-Resolution Three-Dimensional Doppler Wind Lidar Data

ATMOSPHERIC RESEARCH(2024)

China Meteorol Adm | Key Laboratory of Atmospheric Environment and Extreme Meteorology | Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters | Inner Mongolia Environm Monitoring Ctr

Cited 1|Views20
Abstract
The processes of dust emission, the development, and dissipation of sand and dust storms all exhibit dynamic and rapidly changing characteristics, posing significant challenges for us to accurately represent their complex behaviors in numerical simulations. In the numerical weather prediction model, the selection and optimization of planetary boundary layer (PBL) parameterization schemes have a direct impact on the simulation results of PBL wind fields, primarily due to the significant uncertainty in the fine-grained simulation of PBL wind field structure. To gain a deeper understanding of the sources of uncertainty in simulating sand-dust storms through vertical wind field structure simulations of the PBL, this study utilizes high-resolution 3D Doppler wind lidar (DWL) data. Focusing on sand-dust storm wind fields with distinctive regional characteristics in Inner Mongolia, China, it examines the turbulent momentum equation and assumptions of the PBL. A comprehensive and systematic evaluation was conducted on the characteristics of horizontal and vertical wind fields, wind shear, as well as the dynamic and thermodynamic differences that arise when simulating typical sand-dust storm wind fields using the Weather Research and Forecasting (WRF) Model with various PBL schemes. This evaluation focused on simulating the typical wind field of sand-dust storms during various stages, including dust generation, occurrence, development, and dissipation. The findings indicate that non-adiabatic heating plays a significant role in the sustainability and evolution of sand-dust storms. The wind shear index holds particular importance as it embodies the dynamic factor in the model. The PBL schemes such as Mellor-Yamada Nakanishi and Niino Level 2.5 (MYNN2), A new version of asymmetric convective model (ACM2), and Grenier-Bretherton-McCaa (GBM), which factor in buoyancy effects, demonstrate more accurate wind shear simulations in sand-dust storms. Furthermore, the ACM2 scheme effectively replicates the fundamental variation characteristics of meteorological elements throughout the sand-dust storm lifecycle.
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Key words
Planetary boundary layer,WRF model,Parameterization,Doppler wind lidar,Sand and dust storm
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要点】:本研究通过高分辨率三维多普勒风雷达数据,探究了不同行星边界层参数化方案在模拟沙尘暴风场中的不确定性,发现非绝热加热对沙尘暴的持续和演变有重要作用,且考虑浮力效应的参数化方案能更准确地模拟风切变。

方法】:研究使用了高分辨率3D多普勒风雷达(DWL)数据,针对内蒙古地区具有显著区域特征的沙尘暴风场,对水平与垂直风场特征、风切变以及使用不同行星边界层(PBL)方案模拟沙尘暴风场时的动力学和热力学差异进行了综合评估。

实验】:实验利用Weather Research and Forecasting(WRF)模型,对比了Mellor-Yamada Nakanishi和Niino Level 2.5(MYNN2)、新的不对称对流模型(ACM2)和Grenier-Bretherton-McCaa(GBM)等PBL方案在模拟沙尘暴不同阶段风场的表现。结果显示,考虑浮力效应的方案在模拟风切变方面更为准确,ACM2方案能有效地复制沙尘暴生命周期中气象元素的基本变化特征。