Issue |
A&A
Volume 694, February 2025
|
|
---|---|---|
Article Number | A247 | |
Number of page(s) | 8 | |
Section | The Sun and the Heliosphere | |
DOI | https://doi.org/10.1051/0004-6361/202452288 | |
Published online | 19 February 2025 |
Extended drag-based model for better predicting the evolution of coronal mass ejections
1
MIDA, Dipartimento di Matematica Università di Genova, Via Dodecaneso 35, 16146 Genova, Italy
2
Osservatorio Astrofisico di Torino, Istituto Nazionale di Astrofisica, Strada Osservatorio 20, 10025 Pino Torinese, Italy
⋆ Corresponding author; mattia.rossi@edu.unige.it
Received:
17
September
2024
Accepted:
17
January
2025
Coronal mass ejections (CMEs) are one of the primary drivers of space weather disturbances, affecting both space-based and terrestrial technologies. The accurate prediction of CME trajectories and their arrival times at Earth is crucial for mitigating potential impacts. In this work, we introduce an extended drag-based model (EDBM) that incorporates an additional acceleration term to better capture the complex dynamics of CMEs as they propagate through the heliosphere. Preliminary results suggest that the EDBM can improve upon the classical drag-based model by providing more reliable estimates of CME travel times, particularly in cases where the CME experiences residual acceleration. However, further validation is required to fully assess the operational potential of the model for space weather forecasting. This study lays the groundwork for future investigations and applications, with the aim of enhancing the accuracy of CME prediction models.
Key words: methods: analytical / methods: data analysis / Sun: coronal mass ejections (CMEs) / Sun: heliosphere / Sun: magnetic fields / solar wind
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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