Chierichini, S. orcid.org/0009-0005-6746-2917, Francisco, G. orcid.org/0000-0003-3694-7813, Mugatwala, R. orcid.org/0000-0003-4443-9966 et al. (7 more authors) (2024) A Bayesian approach to the drag-based modelling of ICMEs. Journal of Space Weather and Space Climate, 14. 1. ISSN 2115-7251
Abstract
Coronal Mass Ejections (CMEs) are huge clouds of magnetised plasma expelled from the solar corona that can travel towards the Earth and cause significant space weather effects. The Drag-Based Model (DBM) describes the propagation of CMEs in an ambient solar wind as analogous to an aerodynamic drag. The drag-based approximation is popular because it is a simple analytical model that depends only on two parameters, the drag parameter and the solar wind speed . DBM thus allows us to obtain reliable estimates of CME transit time at low computational cost. Previous works proposed a probabilistic version of DBM, the Probabilistic Drag Based Model (P-DBM), which enables the evaluation of the uncertainties associated with the predictions. In this work, we infer the “a-posteriori” probability distribution functions (PDFs) of the and parameters of the DBM by exploiting a well-established Bayesian inference technique: the Monte Carlo Markov Chains (MCMC) method. By utilizing this Bayesian method through two different approaches, an ensemble and an individual approach, we obtain specific DBM parameter PDFs for two ensembles of CMEs: those travelling with fast and slow solar wind, respectively. Subsequently, we assess the operational applicability of the model by forecasting the arrival time of CMEs. While the ensemble approach displays notable limitations, the individual approach yields promising results, demonstrating competitive performances compared to the current state-of-the-art, with a Mean Absolute Error (MAE) of 9.86 ± 4.07 h achieved in the best-case scenario.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2024 S. Chierichini et al., Published by EDP Sciences. This is an Open Access article distributed 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. |
Keywords: | Coronal Mass Ejections; Drag Based Model; Space weather |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 955620 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/M000826/1 EUROPEAN COMMISSION - HORIZON 2020 824135 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Mar 2024 12:34 |
Last Modified: | 22 Mar 2024 12:34 |
Status: | Published |
Publisher: | EDP Sciences |
Refereed: | Yes |
Identification Number: | 10.1051/swsc/2023032 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:210733 |