EGU24-4200, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-4200
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Prediction of the Structure of the Corona for the 2024 Total Solar Eclipse:  A Continuously Updated Model

Jon Linker, Cooper Downs, Ronald Caplan, Emily Mason, Michal Ben-Nun, Ryder Davidson, Roberto Lionello, Erika Palmerio, Andres Reyes, Pete Riley, Viacheslav Titov, Tibor Torok, and James Turtle
Jon Linker et al.
  • San Diego, United States of America (linkerj@predsci.com)

Total solar eclipses offer an unparalleled opportunity to observe the low and middle corona.  As is our tradition, the solar physics team at Predictive Science is predicting the structure of the solar corona for the April 8, 2024 total solar eclipse, using a magnetohydrodynamic (MHD) model of the corona.  The model incorporates thermodynamic transport terms and employs a wave-turbulence-driven (WTD) description of coronal heating and solar wind acceleration.  Our previous coronal predictions employed relaxed MHD solutions corresponding to a boundary condition based on a single photospheric magnetic map, incorporating data that at best was measured 10 to 14 days prior to the eclipse.


This year, we introduce a new paradigm:  A continuously updated prediction based on a time-evolving model.  To accomplish this near-real time description, we have incorporated 3 new elements:  (1) a time-evolving MHD model driven by evolution of the photospheric magnetic field,  (2) an automated method for energizing the non-potential corona near polarity inversion lines that evolve in time, and (3) The Open-source Flux Transport (OFT) model, that assimilates near-real time surface magnetic flux observations from SDO HMI as well as low-latency observations from the Solar Orbiter PHI instrument made away from the Sun–-Earth line.

This presentation will give an overview of the entire prediction effort and describe the time-dependent coronal dynamical features that appear in the solutions.

Research Supported by NASA and NSF.  Computational resources provided by the NSF ACCESS program and the NASA Advanced Supercomputing division at Ames.

How to cite: Linker, J., Downs, C., Caplan, R., Mason, E., Ben-Nun, M., Davidson, R., Lionello, R., Palmerio, E., Reyes, A., Riley, P., Titov, V., Torok, T., and Turtle, J.: Prediction of the Structure of the Corona for the 2024 Total Solar Eclipse:  A Continuously Updated Model, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4200, https://doi.org/10.5194/egusphere-egu24-4200, 2024.