Stacking Ensemble Learning with Geomagnetic and Meteorological Features for Atmospheric Electric Field Forecasting

sure, wind speed, precipitation, solar radiation, and ultraviolet index, owing to their influence on atmospheric conductivity, ionization processes, cloud electrification, and charge transport mechanisms. In addition, geo- magnetic field measurements were incorporated because of their relationship w...

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Guardado en:
Autores principales: Adán Godoy, Benjamín A. Urra Pacheco, Carlos E. Saavedra Vasconez, Eduardo Vigo, Elías M. Ovalle Miranda, E. Carrasco, Enrique Daniel Rojo Sepúlveda, Jackson Edgardo Perez Carpio, Joel H. Fernandez, Juan Jesús Soria-Quijaite, Manuel Bravo, Orlando Poma Porras, Pedro Quispe, Sulamita M. Ramos Chipa
Formato: Ponencia
Lenguaje:inglés
Publicado: 2026
Materias:
geomagnetic field
meteorological features
stacking ensemble
space weather
ionospheric disturbances
Faraday's law
atmospheric conductivity
ionization mechanisms
cloud electrification
feature importance
SHAP
XGBoost
LightGBM
random forest
ridge regression
elastic net
temporal feature engineering
atmospheric monitoring
Lightning and Electromagnetic Phenomena
Earthquake Detection and Analysis
Ionosphere and magnetosphere dynamics
Acceso en línea:Enlace permanente (DOI o Handle)

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Internet

https://doi.org/10.5281/zenodo.23417747

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