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Found 3 papers, 1 papers with code
Challenges and advances in modeling of the solar atmosphere
In this white paper, we summarize recent numerical achievements to reproduce structure, dynamics, and observed phenomena from the photosphere to the low corona and outline challenges we expect to face for the interpretation of future observations.
Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicists, data providers, expert modelers, and computer/data scientists.
Machine-learning approach to identification of coronal holes in solar disk images and synoptic maps
Identification of solar coronal holes (CHs) provides information both for operational space weather forecasting and long-term investigation of solar activity.
Solar and Stellar Astrophysics
