1 citations · 1 across the 3 of their papers we have counts for
7 papers
SEP-PRISM Data: A multi-source dataset for solar energetic particle forecasting
Yian Yu, Yang Chen, Lulu Zhao +3
Solar energetic particle (SEP) event forecasting often involves integrating heterogeneous observations that differ in cadence, temporal coverage, format, and historical availabilit…
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
Realtime forecasting of solar energetic particle event and proton flux using multi-source solar observations and multi-task deep learning
Yian Yu, Yang Chen, Lulu Zhao +3
Solar energetic particle (SEP) events, defined by proton flux exceeding 10 pfu in the > 10 MeV channel, pose major risks to spacecraft operations, astronaut safety, and high-latitu…
Solar Energetic Particle Forecasting with Multi-Task Deep Learning: SEPNET
Yian Yu, Yang Chen, Lulu Zhao +3
Solar energetic particle (SEP) events pose severe threats to spacecraft, astronaut safety, and aviation operations. Accurate SEP forecasting remains a critical challenge in space w…
Simulated Operational Testing of the Prototype Implementation of the SOFIE Model: The 2025 Space Weather Prediction Testbed Exercise
Weihao Liu, Lulu Zhao, Igor V. Sokolov +29
The CLEAR Space Weather Center of Excellence's solar energetic particle (SEP) model, SOlar wind with FIeld lines and Energetic particles (SOFIE), was run and evaluated on-site duri…
Operational and Exploration Requirements and Research Capabilities for SEP Environment Monitoring and Forecasting
Viacheslav Sadykov, Petrus Martens, Dustin Kempton +15
Mitigating risks posed by solar energetic particles (SEPs) to operations and exploration in space and Earth's atmosphere motivates the development of advanced, synergistic approach…