Key papers

• Aurora Hunter: A Two-Stage Framework for Probabilistic Visibility Forecasting (2026)
  Zongyuan Ge and Chenwaner Zhang and Haoyang Li and Hantai Zhang and Wei Zhou and Wenxin Gu and Zhaoming Wang
  1.83
• Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning (2026)
  Mert Can Turkmen et al.
  1.78
• Forecasting Thermospheric Density with Transformers for Multi-Satellite Orbit Management (2025)
  Cedric B\"os et al.
  1.50
• PRESOL: a web-based computational setting for feature-based flare forecasting (2025)
  Chiara Curletto et al.
  1.44
• Graph-based Neural Space Weather Forecasting (2025)
  Daniel Holmberg et al.
  1.39
• CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension (2025)
  Jiahui Hu and Wenjun Dong
  1.22
• ARCANE -- Early Detection of Interplanetary Coronal Mass Ejections (2025)
  H. T. R\"udisser et al.
  1.17
• Beacon2Science: Enhancing STEREO/HI beacon data with machine learning for efficient CME tracking (2025)
  Justin Le Lou\"edec et al.
  1.06
• Forecasting Local Ionospheric Parameters Using Transformers (2025)
  Daniel J. Alford-Lago et al.
  1.00
• Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning (2025)
  Khalid A. Alobaid et al.
  0.94
• Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data (2022)
  Hannah T. R\"udisser et al.
  —
• Global geomagnetic perturbation forecasting using Deep Learning (2022)
  Vishal Upendran et al.
  —
• Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting (2022)
  Chetraj Pandey et al.
  —
• Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory (2022)
  John C. Dorelli et al.
  —
• Prediction of solar wind speed by applying convolutional neural network to potential field source surface (PFSS) magnetograms (2023)
  Rong Lin et al.
  —
• Probabilistic Solar Proxy Forecasting with Neural Network Ensembles (2023)
  Joshua D. Daniell and Piyush M. Mehta
  —
• LSTM-Based Forecasting Model for GRACE Accelerometer Data (2023)
  Neda Darbeheshti and Elahe Moradi
  —
• Probabilistic solar flare forecasting using historical magnetogram data (2023)
  Kiera van der Sande et al.
  —
• MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach (2023)
  Kimberly Moreland et al.
  —
• Transformer-based Atmospheric Density Forecasting (2023)
  Julia Briden et al.
  —
• Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning (2024)
  Spiridon Kasapis et al.
  —
• Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches (2024)
  Sabrina Guastavino et al.
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• Predicting the energetic proton flux with a machine learning regression algorithm (2024)
  Mirko Stumpo et al.
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• Enhancing Solar Driver Forecasting with Multivariate Transformers (2024)
  Sergio Sanchez-Hurtado et al.
  —
• Wavelet analysis of possible association between sunspot number and rainfall over Kerala, India: A case study (2024)
  Elizabeth Thomas et al.
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• Solaris: A Foundation Model of the Sun (2024)
  Harris Abdul Majid et al.
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• De-Biasing Structure Function Estimates From Sparse Time Series of the Solar Wind: A Data-Driven Approach (2024)
  Daniel Wrench et al.
  —