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Found 4 papers, 1 papers with code
Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning
Prediction of the Solar Energetic Particle (SEP) events garner increasing interest as space missions extend beyond Earth's protective magnetosphere.
Predicting the Emergence of Solar Active Regions Using Machine Learning
To create early warning capabilities for upcoming Space Weather disturbances, we have selected a dataset of 61 emerging active regions, which allows us to identify characteristic features in the evolution of acoustic power density to predict continuum intensity emergence.
Evolution of Subsurface Zonal and Meridional Flows in Solar Cycle 24 from Helioseismological Data
The oscillation period is comparable with a doubled solar-activity-cycle and can be described as an extended solar cycle.
Solar and Stellar Astrophysics
Analysis of Time-Distance Helioseismology for Detection of Emerging Active Regions
The technique is also used to examine pre-emergence signatures of several active regions observed by the Michelson Doppler Imager (MDI) and the Helioseismic Magnetic Imager (HMI).
Solar and Stellar Astrophysics
