A New AI Tool Predicts Space Radiation Hazards Up to 2031

By Space.Fan Editorial DeskSeptember 28, 2026 at 11:01 PM UTC

Researchers have built a smart computer model that uses solar data to forecast dangerous cosmic rays that could affect astronauts and satellites.

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The Drop

Space is filled with high-energy particles called galactic cosmic rays. These particles travel through the solar system and can be harmful to sensitive electronics on satellites or even the health of astronauts on long missions. Because space weather changes based on the activity of our Sun, keeping track of how many of these rays are hitting our neighborhood is a difficult task for scientists. To solve this, a team of researchers has created a powerful new computer model that acts like a weather forecast for space radiation. By feeding the model data about the Sun and records from ground-based sensors called neutron monitors, the team can predict how the amount of space radiation will change over time. The model works in two parts. First, it looks at how the Sun changes over long periods. Second, it uses that information to estimate the specific flow of proton particles as measured by the Alpha Magnetic Spectrometer, a famous instrument currently attached to the International Space Station. The new tool is very accurate, with errors of only about 2 percent. Thanks to this, scientists can now make educated guesses about space radiation levels all the way through the year 2031.

Why It Matters

Knowing when cosmic radiation will be at its peak helps space agencies plan safer missions. If we can accurately predict these radiation flows, we can better protect expensive satellites and keep astronauts safe during their time in space by choosing the best times for spacewalks or long-duration missions.

The Catch

While the model is highly accurate, it relies on making predictions based on our current understanding of solar patterns. Because the Sun is a dynamic and sometimes unpredictable , the long-term forecast could change if the Sun enters a period of unusual or unexpected activity that the computer model has not been trained to recognize.

Put That in Perspective

Scientists have tracked solar activity and cosmic rays for decades using ground stations. By combining these long-term records with modern, high-precision data from space, researchers are bridging the gap between old-school observation and cutting-edge artificial intelligence.

Source September 28, 2026

Qiyun Li, Yi-lun Du, Weiwei Xu, Xiaojian Song, Xi Luo, Duxin Zheng, Qing Chang, Yuji Zhu, Jianqi Yan, Jie Feng

Shandong Institute of Advanced Technology, Nanjing Normal University, Sun Yat-sen University·The Astrophysical Journal·10.3847/1538-4357/aea218

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