Primary Convener:
Anshu Kumari, Physical Research Laboratory

Convener:
Bhargav Vaidya, Indian Institute of Technology Indore
Pete Riley, Predictive Science Inc.
K Kilpua, University of Helsinki

Early Career Convener:
Prateek Mayank, SWx TREC, University of Colorado, Boulder

Chair:
Pete Riley, Predictive Science Inc.
Prateek Mayank, SWx TREC, University of Colorado, Boulder

Understanding the life cycle of CMEs—from their initiation at the Sun, their propagation through the heliosphere, to their geoeffective consequences at Earth—is essential for accurate space weather forecasting and mitigation strategies. Observations from multiple vantage points, such as those from PSP, SolO, STEREO, SOHO, Aditya L1, the recent PUNCH mission and the upcoming ESA Vigil mission, along with ground-based radio observatories, enable three-dimensional reconstruction of CME morphology, kinematics, and their interaction with the ambient solar wind. Advances in numerical MHD simulations and the incorporation of AI/ML techniques into these models are revolutionizing space weather prediction. We invite contributions aimed to comprehensively investigate CME evolution using synergistic approach that combines multi-wavelength, multi-vantage point observations, numerical modelling, and AI/ML-based methodologies. A special focus is given to CME-CME interactions, which can lead to complex ejecta with enhanced geoeffective signatures, often resulting in more intense geomagnetic storms. (e.g., May and October 2024 storms).

Index Terms
7509 Corona
7513 Coronal mass ejections
7526 Magnetic reconnection
7599 General or miscellaneous

Neighborhoods:
4. Beyond Earth

Suggested Itineraries:
Space Weather
Machine Learning and AI

Cross-Listed:
SM - SPA-Magnetospheric Physics