A Revised Database of CME Characteristics from In-situ and Remote Observations
Abstract
To address the threats that Space Weather (SWx) represents to our technological society we must understand better SWxevents, such as Coronal Mass Ejections (CME), to increase our ability to forecast them and mitigate their risk accordingly.To do so, empirical data need to be used to assess the relevance of theoretical models or even to build purely data-drivenmodels. The quality and availability of the data is therefore at the core of the problem. We collected both in-situ and remotemeasurements about CMEs, to create a Database (DB) of CME characteristics. We employed the Drag-Based Model (DBM) toassess the quality of such DB and verify the link between in-situ and remote observations. The DBM is an analytical modelwhich assumes the interplanetary propagation of CMEs to be governed mainly by the aerodynamic drag due to the ambientsolar wind. In practice, we investigate how well the DBM describes the CME propagation by using a Monte Carlo approach toexplore the drag parameter γ and the solar wind speed w parameter space. This approach provides new pieces of informationabout CMEs and allow us to verify the initial assumptions about the solar wind speed and re-categorise. Last, this approachpermits a classification between accelerated and decelerated CMEs. This procedure allows us to present a homogeneous,robust and reliable dataset suitable for the study of CME propagation using a Data Driven method.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFMSH12C1459C