EGU23-17086
https://doi.org/10.5194/egusphere-egu23-17086
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Statistical analysis of CME-flare relationship in Solar Cycle 24

Luca Giovannelli, Francesco Berrilli, and Dario Del Moro
Luca Giovannelli et al.
  • Department of Physics, University of Rome Tor Vergata, Rome, Italy

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.

How to cite: Giovannelli, L., Berrilli, F., and Del Moro, D.: Statistical analysis of CME-flare relationship in Solar Cycle 24, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-17086, https://doi.org/10.5194/egusphere-egu23-17086, 2023.