What's New

For 2026, we again employ a data-assimilative, continuously running prediction model updated in near real time, as described by Downs et al. (2025). To drive the time-evolving model, we assimilate photospheric magnetic field data from the HMI instrument aboard SDO into the High performance Flux Transport (HipFT) surface flux transport model to produce full-Sun maps that approximate the state of the solar surface magnetic field as a function of time. This sequence of maps is used to drive the Magnetohydrodynamic Algorithm outside a Sphere (MAS) time-dependent coronal and heliospheric models. As in 2024, we show a continuously updated prediction of the coronal appearance in white light for eclipse day, along with simulated EUV imaging for SDO AIA, and coronal imaging for STEREO COR2, SOHO LASCO C2, and Solar Orbiter Metis.

Exciting New Advances

NRT HMI Vector Data
NRT HMI Vector Data

We assimilate HMI Vector magnetograms in near-real time. We infer the radial field (Br) by combining vector data in strong field regions with line-of-sight data in weaker field regions

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ACKNOWLEDGEMENTS

This research is funded by NASA and NSF. We are grateful to Instituto de Astrofísica de Canarias (IAC) for providing a dedicated allocation at the LaPalma supercomputer and proud to support the North African Telescope Eclipse (NATE) project, led by IAC. We also acknowledge dedicated resources from the ACCESS program and Expanse supercomputer at the San Diego Supercomputer Center (SDSC). We thank NASA's Advanced Supercomputing Division (NAS) for allocations on the Athena supercomputer that enabled many of the visualizations on this page to be produced rapidly in real-time. We also thank the SDO/HMI team of the Solar Physics Group at Stanford University for their support in providing timely access to HMI vector magnetograph data. Lastly, we are particularly excited to work with the Solar Orbiter PHI team, to conduct the farside assimilation experiment in near-real-time.