Abstract
Understanding and monitoring solar active regions is essential for operational space-weather forecasting and better solar dynamo modeling. This requires comprehensive 360\(^\circ\) observations of the Sun. While space-weather forecasting has long relied successfully on high-quality observations of the Earth-facing hemisphere, a critical gap in global magnetic context remains due to the lack of direct, continuous magnetic field measurements of far-side active regions, specifically magnetic field strength, polarity configurations, and related parameters. We present a methodology for inferring magnetic field distributions of active regions in helioseismic maps of the far hemisphere. The crux of the analysis is the ability to realistically surmise the signs of the magnetic polarities of opposing components of a helioseismic signature. We present a method for stable, continuous polarity assignment of large-scale magnetic structures, derived from substructures that helioseismic signatures reliably resolve in strong active regions–particularly those that become space-weather hazards as solar rotation brings them into Earth’s view. Polarity boundaries are identified by analyzing the bi-modal longitudinal variance profile of the seismic signal within each region, after which Hale’s polarity rule is applied to establish east–west ordering consistent with the solar cycle. The method yields polarity-resolved far-side magnetograms that are suitable for integration with near-side observations, enabling the construction of full-Sun magnetic boundary conditions for coronal and solar-wind modeling, and providing a critical step toward improved heliospheric simulations and operational forecasting.
Data availability
The GONG helioseismic phase-shift maps used in this study are publicly available through the National Solar Observatory (https://gong.nso.edu ). The SO/PHI line-of-sight magnetograms were obtained from the Solar Orbiter archive and are available upon request through the ESA Solar Orbiter data portal (https://soar.esac.esa.int ). The far-side active region masks, remapped magnetic maps, and derived analysis products generated in this study are available from the corresponding author upon reasonable request.
References
Jain, K. et al. Seismic monitoring of the sun’s far hemisphere: A crucial component in future space weather forecasting. Bull. Am. Astron. Soc. 55, 189. https://doi.org/10.3847/25c2cfeb.795201ef. arXiv:2210.01291 (2023) .
Upton, L. A., Ugarte-Urra, I., Warren, H. P. & Hathaway, D. H. The advective flux transport model: Improving the far side with active regions observed by STEREO 304 Å. Astrophys. J. 968, 114. https://doi.org/10.3847/1538-4357/ad40a5. arXiv:2404.04280 (2024) .
Lindsey, C. & Braun, D. Seismic imaging of the Sun’s far hemisphere and its applications in space weather forecasting. Sp. Weather 15, 761–781. https://doi.org/10.1002/2016SW001547 (2017).
Harvey, J. W. et al. The Global Oscillation Network Group (GONG) Project. Science 272, 1284–1286. https://doi.org/10.1126/science.272.5266.1284 (1996).
Jain, K., Tripathy, S. C., Hill, F. & Pevtsov, A. A. Continuous solar observations from the ground-assessing duty cycle from GONG observations. Pub. Astron. Soc. Pac. 133, 105001. https://doi.org/10.1088/1538-3873/ac24d5 (2021) arXiv:2110.06319.
Scherrer, P. H. et al. The helioseismic and magnetic imager (HMI) investigation for the solar dynamics observatory (SDO). Solar Phys. 275, 207–227. https://doi.org/10.1007/s11207-011-9834-2 (2012).
González Hernández, I., Hill, F., Scherrer, P. H., Lindsey, C. & Braun, D. C. On the success rate of the farside seismic imaging of active regions. Sp. Weather 8, 06002. https://doi.org/10.1029/2009SW000560 (2010).
Liewer, P. C., Qiu, J. & Lindsey, C. Comparison of helioseismic far-side active region detections with STEREO far-side EUV observations of solar activity. Sol. Phys. 292, 146. https://doi.org/10.1007/s11207-017-1159-3 (2017) arXiv:1709.07801.
Zhao, J., Hing, D., Chen, R. & Hess Webber, S. Imaging the sun’s far-side active regions by applying multiple measurement schemes on multiskip acoustic waves. Astrophys. J. 887, 216. https://doi.org/10.3847/1538-4357/ab5951 (2019) arXiv:1912.06736.
Arge, C. N. et al. Modeling the corona and solar wind using ADAPT maps that include far-side observations. In Solar Wind 13. American Institute of Physics Conference Series (Zank, G. P. et al. eds.). Vol. 1539. 11–14. https://doi.org/10.1063/1.4810977 (AIP, 2013).
Arge, C. N. et al. Air force data assimilative photospheric flux transport (ADAPT) model. In Twelfth International Solar Wind Conference. American Institute of Physics Conference Series (Maksimovic, M. et al. eds.). Vol. 1216. 343–346. https://doi.org/10.1063/1.3395870 (2010).
Fontenla, J. M., Quémerais, E., González Hernández, I., Lindsey, C. & Haberreiter, M. Solar irradiance forecast and far-side imaging. Adv. Sp. Res. 44, 457–464. https://doi.org/10.1016/j.asr.2009.04.010 (2009).
González Hernández, I., Hill, F. & Lindsey, C. Calibration of seismic signatures of active regions on the far side of the sun. Astrophys. J. 669, 1382–1389. https://doi.org/10.1086/521592 (2007).
MacDonald, G. A. et al. Active region morphologies selected from near-side helioseismic data. Astrophys. J. 807, 21. https://doi.org/10.1088/0004-637X/807/1/21 (2015).
Chen, R. et al. Inferring maps of the sun’s far-side unsigned magnetic flux from far-side helioseismic images using machine learning techniques. Astrophys. J. 941, 197. https://doi.org/10.3847/1538-4357/aca333 (2022) arXiv:2211.12666.
García Marirrodriga, C. et al. Solar orbiter: Mission and spacecraft design. Astron. Astrophys. 646, A121. https://doi.org/10.1051/0004-6361/202038519 (2021).
Müller, D. et al. The solar orbiter mission. Sci. overview Astron. Astrophys. 642, A1. https://doi.org/10.1051/0004-6361/202038467 (2020) arXiv:2009.00861.
Solanki, S. K. et al. The polarimetric and helioseismic imager on solar orbiter. Astron. Astrophys. 642, A11. https://doi.org/10.1051/0004-6361/201935325 (2020) arXiv:1903.11061.
Yang, D. et al. Direct assessment of SDO/HMI helioseismology of active regions on the Sun’s far side using SO/PHI magnetograms. Astron. Astrophys. 674, A183. https://doi.org/10.1051/0004-6361/202346030 (2023) arXiv:2305.01594.
Broock, E. G., Asensio Ramos, A. & Felipe, T. The return of FarNet-II: Generation of solar far-side magnetograms from helioseismic data. Astron. Astrophys. 692, A182. https://doi.org/10.1051/0004-6361/202451625 (2024).
Hamada, A., Creelman, M., Jain, K. & Lindsey, C. FArSide trained active region recognition (FASTARR): A machine learning approach. Astrophys. J. Suppl. 278, 53. https://doi.org/10.3847/1538-4365/add893 (2025).
Yang, D., Heinemann, S. G., Cameron, R. H. & Gizon, L. Combined surface flux transport and helioseismic far-side active region model (FARM). Sol. Phys. 299, 161. https://doi.org/10.1007/s11207-024-02405-9 (2024) arXiv:2411.18701.
Hamada, A., Jain, K., Lindsey, C., Creelman, M. & Oien, N. Far-side active regions based on helioseismic and EUV measurements: A new data set for heliospheric machine learning advancements. Astrophys. J. 977, 85. https://doi.org/10.3847/1538-4357/ad8636 (2024).
Jain, K. & Creelman, M. Application of a neural network for identifying erroneous solar images. Sol. Phys. 300, 134. https://doi.org/10.1007/s11207-025-02554-5 (2025).
Cally, P. S. Dispersion relations, rays and ray splitting in magnetohelioseismology. Philos. Trans. R. Soc. Lond. Ser. A 364, 333–349. https://doi.org/10.1098/rsta.2005.1702 (2006).
Cally, P. S. & Bogdan, T. J. Simulation of f- and p-mode interactions with a stratified magnetic field concentration. Astrophys. J. Lett. 486, L67–L70. https://doi.org/10.1086/310833 (1997).
Lindsey, C. & Braun, D. C. Basic principles of solar acoustic holography -(invited review). Solar Phys. 192, 261–284. https://doi.org/10.1023/A:1005227200911 (2000).
Charbonneau, P. Dynamo models of the solar cycle. Living Rev. Solar Phys. 17, 4. https://doi.org/10.1007/s41116-020-00025-6 (2020).
Hayakawa, H. et al. The solar and geomagnetic storms in 2024 May: A flash data report. Astrophys. J. 979, 49. https://doi.org/10.3847/1538-4357/ad9335 (2025) arXiv:2407.07665.
Lekshmi, B., Tripathy, S., Jain, K. & Pevtsov, A. Dynamics of subsurface flows in solar active regions during the 2024 May storm. Astrophys. J. 987, 134. https://doi.org/10.3847/1538-4357/ade2e3 (2025) arXiv:2506.08141.
Zirin, H. & Liggett, M. A. Delta spots and great flares. Solar Phys. 113, 267–283. https://doi.org/10.1007/BF00147707 (1987).
Toriumi, S. & Wang, H. Flare-productive active regions. Living Rev. Solar Phys. 16, 3. https://doi.org/10.1007/s41116-019-0019-7 (2019) arXiv:1904.12027.
Acknowledgements
AH and KJ were partially supported by the NSF Windows of the Universe - Multi-Messenger Astrophysics (WoU-MMA) grant to the National Solar Observatory. KJ also acknowledges partial support from NASA-DRIVE Center award 80NSSC20K0602 to Stanford. This work utilizes GONG data obtained by the NSO Integrated Synoptic Program, managed by the National Solar Observatory, which is operated by the Association of Universities for Research in Astronomy (AURA), Inc. under a cooperative agreement with the National Science Foundation and with a contribution from the National Oceanic and Atmospheric Administration. The GONG network of instruments is hosted by the Big Bear Solar Observatory, High Altitude Observatory, Learmonth Solar Observatory, Udaipur Solar Observatory, Instituto de Astrofísica de Canarias, and Cerro Tololo Inter-American Observatory. Solar Orbiter is a space mission of international collaboration between ESA and NASA, operated by ESA. We are grateful to the ESA SOC and MOC teams for their support. The German contribution to SO/PHI is funded by the BMWi through DLR and by MPG central funds. The Spanish contribution is funded by AEI/MCIN/10.13039/501100011033/ (RTI2018-096886-C5, PID2021-125325OB-C5) and ERDF “A way of making Europe”; “Center of Excellence Severo Ochoa” awarded to IAA-CSIC (SEV-2017-0709, CEX2021-001131-S). The French contribution is funded by CNES.
Funding
KJ was partially supported by the NASA DRIVE Center award 80NSSC20K0602 to Stanford University. The German contribution to SO/PHI is funded by the BMWi through DLR and by MPG central funds. The Spanish contribution is funded by AEI/MCIN/10.13039/501100011033/ (RTI2018-096886-C5, PID2021-125325OB-C5) and ERDF “A way of making Europe”; “Center of Excellence Severo Ochoa” awarded to IAA-CSIC (SEV-2017-0709, CEX2021-001131-S). The French contribution is funded by CNES.
Author information
Authors and Affiliations
Contributions
K.J. designed the project and generated far-side helioseismic maps. H.S. and D.O.S calibrated SO/PHI data, selected the far side SO/PHI LoS magnetograms and remapped them to Carrington coordinates. A.H. developed the methodology, conducted the analysis and drafted the manuscript. A.H., K.J., and C.L. discussed the results and contributed to the manuscript. All authors reviewed and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Hamada, A., Jain, K., Strecker, H. et al. Polarity-resolved far-side magnetograms based on helioseismic measurements. Sci Rep (2026). https://doi.org/10.1038/s41598-026-42917-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-026-42917-x