Scientists Successfully Predict When and Where Dangerous Solar Storms Are Likely to Happen
Breakthrough forecasting method validated by surprise solar eruptions on the far side of the Sun

(source: NASA https://x.com/nasagoddard/status/2019495176759124227?s=43; https://science.nasa.gov/blogs/solar-cycle-25/)
Mexico City, Mexico – February 14, 2026. A team of scientists from around the world has created the first system that can predict when and where extremely powerful solar storms, called superflares, are most likely to happen. These storms can disrupt power grids, communications, and satellites, and even pose dangers to astronauts in space.
Instead of trying to predict the exact moment a solar storm will erupt (which is nearly impossible), this new approach identifies extended windows of time—ranging from several months to a year—when the Sun is more likely to produce these extreme events. The method also pinpoints which regions of the Sun are most at risk. The research has been published in the Journal of Geophysical Research: Space Physics.
How the Forecasting System Works
The scientists analyzed nearly 50 years of data (1975–2025) from satellites that monitor the Sun's X-ray emissions. They discovered two key patterns:
1. They identified specific zones on the Sun where magnetic energy builds up over time, making those areas more likely to produce powerful eruptions.
2. They found a rhythmic pattern in solar activity based on two natural cycles: a 1.7-year cycle and a 7-year cycle. When these cycles line up in certain ways, the risk of superflares increases significantly.
Using advanced mathematical techniques and machine learning, the team combined these patterns to forecast high-risk time periods and locations on the Sun. For the current solar cycle (Solar Cycle 25), their model predicts two main danger windows:
• Mid-2025 through mid-2026 (focused on the Sun's southern hemisphere, between 5°S–25°S latitude)
• Early-to-mid 2027 (focused on the Sun's northern hemisphere, between 10°N–30°N latitude)
Real-World Implications
Lead researcher Dr. Victor M. Velasco Herrera, from the National Autonomous University of Mexico, explained:
“Traditional solar forecasting struggles with these extreme events because they happen so quickly and unpredictably. Our method gives space weather operators and satellite managers one to two years of advance warning about when conditions are most dangerous. This critical lead time allows them to prepare and protect communications systems, power grids, and astronaut safety.”
Dr. Velasco Herrera also noted the relevance for space missions:
“NASA is right to postpone the Artemis II mission to the Moon until March, but given how active the Sun is right now, our forecasts suggest that delaying the launch until the end of 2026 may be a much safer decision.”
Surprise Validation from the Far Side of the Sun
The team got an unexpected confirmation of their model's accuracy during the research process itself. After they submitted their paper for publication (between October and December 2025), other scientists using the Solar Orbiter spacecraft discovered a series of massive superflares that had erupted on the far side of the Sun—the side we can't see from Earth. These eruptions included an X11.1 class on May 14, 2024, an X9.5 and X9.7 on May 15, 2024 and an X16.5 class on May 20, 2024, as reported coincidentally on the same day by a NASA study.
Remarkably, these newly discovered far-side events matched the patterns the team had predicted, even though they had no knowledge of these storms when developing their forecasting system.
“This was pure luck, but also very revealing,” said Dr. Velasco Herrera. “We created our forecast without knowing about these far-side superflares. When they were discovered during our paper review process, they aligned perfectly with our predicted patterns. This shows that our physics-based approach works across the entire Sun, not just the side facing Earth.”
Co-author Dr. Willie Soon, from the Center for Environmental Research and Earth Sciences (CERES), added:
“Nature gave us the perfect test. These far-side discoveries essentially validated our method in real time, proving that the underlying patterns we identified are reliable and work everywhere on the Sun's surface.”
Why This Matters
Solar superflares are the most powerful eruptions the Sun can produce. A direct hit from one of these storms could cause widespread power outages, damage satellites, disrupt GPS navigation, interfere with radio communications, and create radiation hazards for astronauts and airline passengers at high altitudes.
By providing advance warning of when and where these events are most likely to occur, this new forecasting system gives utilities, satellite operators, and space agencies valuable time to take protective measures—such as adjusting satellite orbits, preparing backup systems, or rescheduling space missions.
As Solar Cycle 25 continues to show strong activity, this breakthrough offers a significant improvement in our ability to prepare for and mitigate the impacts of extreme space weather.
The research paper, titled 'A New Method for Probabilistic Spatiotemporal Forecasts of Solar Soft X-ray S-Class (> X10) Superflares,' is now published in the Journal of Geophysical Research: Space Physics (American Geophysical Union), https://doi.org/10.1029/2025JA034977.
The author team includes scientists from Mexico, the United States, Hungary, Turkey, Russia, Czech Republic, and China.
Publication Details
V. M. Velasco Herrera, G. Velasco Herrera, W. Soon, A. Özgüç, N. Babynets, A. Tlatov, M. Švanda, S. Qiu, S. Baliunas, B. Kotan, G. González González, L. A. Bautista Flores, M. Pazos (2026). “A New Method for Probabilistic Spatiotemporal Forecasts of Solar Soft X-Ray “S-Class” (>X10) Superflares“. Journal of Geophysical Research: Space Physics. 131 (2), e2025JA034977. https://doi.org/10.1029/2025JA034977




This superflare forecasting breakthrough is exciting, especially because far-side eruptions are so hard to observe and validate. If scientists can spot precursors earlier, power grids and satellites may get crucial warning time. I follow space weather as a hobby, and it’s fascinating how rare, high-impact events often hide in subtle patterns. When I need a break from reading papers, I enjoy endless word-ladder puzzles on Poople Unlimited—no daily cap and no download. You can explore the poople answer archive anytime.
This forecasting breakthrough is genuinely exciting. If we can anticipate superflares from far-side eruptions, satellites, grids, and astronauts could get vital warning time. Validating the method with surprise solar activity makes it more convincing than a pure simulation. Space weather feels abstract until you realize how connected our tech is to the Sun. For a lighter exploration break, I also enjoy World Guesser multiplayer—random street views make you think about our planet the same way. Great read.
Fascinating read. The idea that we can now forecast superflares before they hit — and validate it against surprise eruptions on the far side of the Sun — is a real leap for space weather preparedness. I do wonder about lead time, though: satellites and power grids need hours of warning, not minutes. Slightly off-topic, but I unwind from heliophysics papers with low-poly racers, and I finally grasped the mechanics properly after reading drifting in PolyTrack explained. Oddly calming after a day of solar storms.
Genuine question that this thread answered for me, so restating it for the next person searching: no, there is no shadow removal in Canva as of now, and the feature requests for it go back years. The tutorials claiming otherwise are all describing either the brightness sliders or Magic Eraser on a plain background. This is the clearest writeup of the workaround I've found. Use something else for the photo, keep Canva for the design.
hindi varnmala mein kitne swar hote hain seekhne ke liye yeh article kaafi informative hai. Language bhi easy aur samajhne mein simple hai.