Statistical analysis of CME-flare relationship in Solar Cycle 24 Article Swipe

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Luca Giovannelli , F. Berrilli , D. Del Moro ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.5194/egusphere-egu23-17086

The prediction of both solar flares and coronal mass ejections is of paramount importance for the impact of space weather on our technology-based society. We revise the statistics of CME-flare relationship on Solar Cycle 24 using the GOES database and a CME database recently released. The latter was developed using the Drag-Based Model (DBM) to assess the quality of such a database, distinguishing accelerated and decelerated CMEs. Furthermore we exploit the R* and D parameters based on the magnetic flux measured in the proximity of the Polarity Inversion Lines in active regions to classify flaring regions in different classes. Finally we study the CME-flare relationship for those classes for Solar Cycle 24.

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Coronal Mass Ejection

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Coronal mass ejection Flare Space weather Solar flare Physics Solar cycle 24 Solar cycle 23 Exploit Astrophysics Meteorology Magnetic field Computer science Solar wind Computer security Quantum mechanics

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Type: preprint
Language: en
Landing Page: https://doi.org/10.5194/egusphere-egu23-17086
OA Status: gold
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OpenAlex ID: https://openalex.org/W4322020468

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DOI: https://doi.org/10.5194/egusphere-egu23-17086

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Title: Statistical analysis of CME-flare relationship in Solar Cycle 24

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Type: preprint

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Language: en

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Publication year: 2023

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Publication date: 2023-02-26

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Authors: Luca Giovannelli, F. Berrilli, D. Del Moro

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Landing page: https://doi.org/10.5194/egusphere-egu23-17086

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OA status: gold

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OA URL: https://doi.org/10.5194/egusphere-egu23-17086

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Concepts: Coronal mass ejection, Flare, Space weather, Solar flare, Physics, Solar cycle 24, Solar cycle 23, Exploit, Astrophysics, Meteorology, Magnetic field, Computer science, Solar wind, Computer security, Quantum mechanics

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