The Prediction of Low-Level Jet Using Machine Learning Based on Turbulence Observations and Remote Sensing

Low-level jets (LLJs) are common strong wind structures in the atmospheric boundary layer. They have important impacts on aviation safety, wind energy utilization and pollutant dispersion. However, the formation mechanisms of LLJs are complex. Traditional parameterization schemes and numerical model...

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Bibliografische gegevens

Hoofdauteurs:	Minghao Chen, Yan Ren, Hongsheng Zhang, Wei Wei, Weiqi Tang, Jiening Liang, Xianjie Cao, Pengfei Tian, Lei Zhang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2026-02-01
Reeks:	Remote Sensing
Onderwerpen:	low-level jets (LLJs) multi-source data fusion machine learning SHAP
Online toegang:	https://www.mdpi.com/2072-4292/18/3/470
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