Cosmos Week
Scientists Can Now Spot Hidden Sunspots on the Solar Far Side
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Scientists Can Now Spot Hidden Sunspots on the Solar Far Side

Unlike the Moon, the Sun is constantly rotating from our perspective - but we still only see half of it at any given time.

Original source cited and editorially framed by Cosmos Week. Universe Today
Editorial signatureCosmos Week Editorial Desk
Published26 Oct 2026 18: 39 UTC
Updated2026-10-26
Coverage typeScience journalism
Evidence levelJournalistic coverage
Read time4 min read

Key points

  • Focus: Unlike the Moon, the Sun is constantly rotating from our perspective - but we still only see half of it at any given time
  • Detail: Science reporting: verify primary technical documentation
  • Editorial reading: science reporting; whenever possible, verify the cited primary source.
Full story

Unlike the Moon, the Sun is constantly rotating from our perspective - but we still only see half of it at any given time. The science-journalism coverage adds useful context, while the strongest evidential footing still comes from the underlying data, papers or institutional documentation.

It is relevant because Earth science becomes stronger when local observations can be placed inside a broader physical pattern that spans time and geography. The planet operates as a coupled system in which atmospheric, oceanic, cryospheric and solid-Earth processes interact across timescales from days to millions of years. A measurement that captures one variable at one location and one moment has limited interpretive value until it is embedded in the longer series and wider spatial coverage that allow natural variability to be separated from forced change. Since it takes 27 days to complete a full rotation, that leaves plenty of time for changes to happen to the side we can’t see that could directly impact Earth’s own space weather. Helioseismology is similar to traditional seismology on Earth, where geologists use seismic shockwaves from earthquakes to map the interior parts of Earth that we can’t see from.

While that doesn’t sound like much to go on, instruments like the Helioseismic and Magnetic Imager aboard NASA’s Solar Dynamics Observatory and the ground-based Global Oscillation. Fraser talks about the Carrington Event - the strongest solar storm directed toward Earth on record.

To solve the noise problem, Jha and his co-authors turned to historical data from a mission called STEREO. This involved two NASA spacecraft that were placed around the far side of the Sun, but still within direct communication lines of Earth.

Between 2010 and 2014, the mission collected extreme ultraviolet images of what was happening on the far side - the exact type of data needed to build a validation model of what. Luckily, SDO was operating at the same time, so the researchers were able to cross-correlate the ultraviolet images from STEREO with the magnetic readings from SDO, but it wasn’t.

The broader interest lies in linking the observation to climatic, geophysical or environmental dynamics that extend well beyond the immediate event or location. Earth science is unusual in that its most important questions operate on timescales that no single research career can observe directly, making the archival record, whether in ice, sediment, rock or satellite data, as important as any new measurement. Results that can be embedded in that record, and that either confirm or challenge the patterns it reveals, carry disproportionate scientific weight.

Also, when they zoomed out to the entire star, they realized that conventional models had been underestimating the total unsigned magnetic flux by 10-20% of the Sun's total. Turning sound waves into verified magnetic maps of the far side of our star is an excellent step towards coming up with a fully integrated model of how sunspots form, but we’re.

Because this item comes through Universe Today as science journalism, it should be treated as contextual reporting rather than primary evidence. Good science reporting can identify why a result matters, connect it to the wider literature and make technical work readable, but the decisive evidence remains in the original paper, dataset, mission release or technical record. That distinction is especially important when a story is later repeated by aggregators, because repetition increases visibility, not evidential strength.

The next step is to place the result inside longer time series and to compare it with independent instruments and independent sites. Earth system observations gain most of their interpretive power from network density and temporal depth, not from any single measurement however precise. Model simulations that assimilate the new data will help clarify whether the observation fits comfortably within known natural variability or represents a shift that existing models do not reproduce.

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