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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Minghao Chen, Yan Ren, Hongsheng Zhang, Wei Wei, Weiqi Tang, Jiening Liang, Xianjie Cao, Pengfei Tian, Lei Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-02-01
Serie:	Remote Sensing
Soggetti:	low-level jets (LLJs) multi-source data fusion machine learning SHAP
Accesso online:	https://www.mdpi.com/2072-4292/18/3/470
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!