Deep learning framework predicts solar EUV irradiance during flares

Researchers have developed FlareEUV, a new deep learning framework designed to predict daily solar extreme ultraviolet (EUV) irradiance. This framework utilizes multi-instrument observations from NASA's Solar Dynamics Observatory (SDO), specifically focusing on data from eight AIA EUV/UV and five HMI magnetic/continuum products. FlareEUV employs a lightweight attention-based architecture to learn the connection between magnetic structures and coronal emissions, demonstrating superior performance over baseline methods in short-term EUV irradiance forecasting during significant solar flares. AI

IMPACT This framework could improve short-term forecasting of solar events, aiding in space weather prediction and satellite operations.

RANK_REASON This is a research paper detailing a new deep learning framework for a scientific application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• FlareEUV
• Jason T. L. Wang
• Nasa
• Solar cycle 24
• Solar Dynamics Observatory

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →