Global hmF2 Parameter Prediction Modeling Based on COSMIC Satellite Data and SHAP Interpretable Method

Accurately predicting the peak height of the F2 layer (<i>hmF₂</i>) is crucial for radio communications, satellite navigation, and space weather studies, yet traditional empirical models often lack precision. To address this, we developed a global <i>hmF₂</i> prediction model u...

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Detalhes bibliográficos

Principais autores:	Fen Wang, Ming Ou, Bangcheng Zhang, Qinglin Zhu, Jingjing Li, Yuhang Zhang, Longjiang Chen, Xiaorui Chong
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
coleção:	Atmosphere
Assuntos:	COSMIC global <i>hmF<sub>2</sub></i> forecast machine learning SHAP
Acesso em linha:	https://www.mdpi.com/2073-4433/17/4/353
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