Reliably Inferring the Sun's Far-Side Magnetic Flux for Operations Using Time-Distance Helioseismic Imaging
Abstract
Solar wind models are highly dependent on global magnetic fields at the solar surface as their inner boundary condition, and the lack of global field data is a significant problem plaguing solar wind modeling. Currently, only near-side magnetic field observations exist and far-side approximations are incapable of predicting growth of existing active regions or new magnetic flux emergence. We therefore plan to develop a method that calibrates far-side helioseismic images, calculated using near-side Doppler observations, to far-side magnetic flux maps to fill this data gap. The calibration will employ machine-learning methods that use EUV 304 Angstrom data as a bridge: a relation will be sought 1) between the near-side AIA 304 Angstrom data and HMI magnetic field data, and 2) between STEREO 304 Angstrom data and far-side helioseismic images obtained from a newly developed time-distance helioseismic far-side imaging method. As an update, progress has been made in establishing the relation between the near-side 304 Angstrom data and magnetic flux data, and some previously-unknown systematics were identified and corrected in the helioseismic far-side images. These systematic-effect-corrected far-side images will then be used to establish a relation with the far-side EUV data.
- Publication:
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Space Weather Workshop 2019 Meeting Abstracts
- Pub Date:
- April 2019
- Bibcode:
- 2019spwe.confE...1H