Daily Predictions of F10.7 and F30 Solar Indices With Deep Learning
Year: 2026
Type: article
DOI: 10.1029/2025ja034868
Authors: Zhenduo Wang, Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Yan Xu, Vasyl Yurchyshyn, Vincent Oria, Khalid A. Alobaid, Xiaoli Bai
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: closed
Awards: G1143023922, Collaborative Research: OAC Core: Cyberinfrastructure for AI-Enabled Multimodal Prediction of Extreme Events in Space Weather, Collaborative Research: ANSWERS: Prediction of Geoeffective Solar Eruptions, Geomagnetic Indices, and Thermospheric Density Using Machine Learning Methods, SHINE: Exploring the Initiations of Solar Flares using Deep Learning Methods, Collaborative Research: CyberTraining: Pilot: Cyberinfrastructure-Enabled Machine Learning for Understanding and Forecasting Space Weather, G3955448758, CAIG: AI-Driven Generation of Vector Magnetograms in the Chromosphere and Photosphere with Application to Explainable Solar Eruption Predictions, SHINE: Prediction of Coronal Mass Ejections and Interplanetary Magnetic Fields Using Advanced Artificial Intelligence Techniques, G8904645850
OpenAlex ID: W7128169034