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.
Giovannelli, L., Berrilli, F., DEL MORO, D. (2023). Statistical analysis of CME-flare relationship in Solar Cycle 24. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? EGU General Assembly 2023 [10.5194/egusphere-egu23-17086].
Statistical analysis of CME-flare relationship in Solar Cycle 24
Luca Giovannelli
;Francesco Berrilli;Dario Del Moro
2023-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.