Total solar eclipse 2024 modelling with COCONUT
Tinatin Baratashvili, Haopeng Wang, Daria Sorokina, Andrea Lani, Stefaan Poedts

TL;DR
This study validates the COCONUT 3D MHD coronal model by predicting the solar corona during the 2024 total solar eclipse, demonstrating that dynamic simulations yield more accurate results than quasi-steady approaches.
Contribution
It introduces a comprehensive validation of the COCONUT model for eclipse prediction using dynamic and quasi-steady simulations, highlighting the importance of real-time data.
Findings
Dynamic simulations outperform quasi-steady predictions.
Predictions made 18 days in advance are feasible.
Accurate east limb prediction is challenged by active region emergence.
Abstract
Coronal modelling is crucial for a better understanding of solar and helio-physics. Due to the strong brightness of the Sun and the lack of white light observations of the solar atmosphere and low corona (1-1.5R), total solar eclipses have become a standard approach for validating the coronal models. In this study, we validate the COCONUT coronal model by predicting the coronal configuration during the total solar eclipse on April 8, 2024. We aim to predict the accurate configuration of the solar corona during the total solar eclipse on April 8, 2024. We utilise the full 3D MHD model to reconstruct the solar corona from the solar surface to . The upcoming total solar eclipse predictions were conducted in three different regimes: quasi-steady driving of the inner boundary conditions (BCs) with a daily cadence and dynamic driving of the inner BCs with both daily and…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Atmospheric Ozone and Climate · Stellar, planetary, and galactic studies
