Solar weather forecast AI model unveiled

IBM and NASA have introduced Surya, an artificial intelligence system designed to predict solar weather with unprecedented accuracy. Named after the Sanskrit word for the Sun, Surya is purported to be a major leap forward in the ability to safeguard technology and infrastructure from the volatile activity of our nearest star. Now available as an open-source model on Hugging Face, Surya claims the title of the world’s first large-scale AI foundation model dedicated specifically to understanding the Sun.

The timing could not be more critical. As society becomes increasingly reliant on satellites, global communication networks, and space-based systems, the risks posed by solar activity are no longer abstract scientific curiosities. They are pressing technological and economic challenges that demand advanced solutions.

Why Solar Weather Matters

The Sun is more than just the source of Earth’s light and warmth; it is also a source of powerful, unpredictable phenomena. Solar storms and coronal mass ejections—massive bursts of plasma and magnetic fields from the Sun’s atmosphere—can reach Earth in hours, sometimes minutes. When they do, the consequences can be immediate and severe.

Solar disruptions have the potential to knock out satellites, disable GPS navigation, and interfere with airline operations. On a larger scale, they can trigger widespread power outages and compromise the stability of energy grids. Astronauts face heightened radiation risks during such events, making solar weather forecasting a critical safety measure for space exploration. Experts estimate that a large-scale solar storm could cause trillions of dollars in damage and take years for society to recover from fully.

The dangers of solar storms are not theoretical. In 1859, the world experienced what is now known as the Carrington Event, the most powerful solar storm ever recorded. Telegraph systems across Europe and North America failed, with operators reporting sparks, fires, and even electric shocks. If an event of similar magnitude occurred today, scientists warn it could disable satellites, cripple global communications, and cause widespread blackouts across entire continents. Estimates suggest the economic impact could run into the trillions of dollars, with recovery taking years. The Carrington Event stands as a stark reminder of why modern forecasting tools like Surya are essential for protecting today’s far more complex and interconnected technological world.

Surya as a Virtual Telescope

Until now, forecasting solar activity has been a challenge of both scale and precision. Traditional models could offer probabilities of whether a solar flare might occur, but they lacked the ability to pinpoint timing and location with fine detail. Surya changes this dynamic entirely.

Trained on nine years of high-resolution solar observations, Surya functions as a kind of virtual telescope. It can analyze enormous datasets of solar imagery and identify patterns invisible to conventional models. For the first time, scientists can predict solar flares visually, two hours in advance, with exact localization. This means forecasts can now include not only whether an event will occur, but also precisely where on the Sun’s surface it will emerge—delivered in the form of high-resolution imagery.

This capability is transformative for industries and communities dependent on accurate space weather information. Aviation operators can reroute flights to avoid navigation disruptions. Communication networks can prepare for potential signal interference. Energy providers can anticipate grid stress and take protective measures. For astronauts and future deep-space missions, the model could literally be a lifeline.

First-of-its-Kind Solar Weather Forecast AI Foundation Model

Surya’s design represents a new era in applying AI to planetary and astrophysical science. As a foundation model, it is built to process vast amounts of data and learn underlying structures rather than focus on narrow predictive tasks. This makes it versatile, adaptable, and capable of generating insights at scales previously unattainable.

Unlike earlier machine learning systems built for binary predictions—such as whether a solar flare might or might not occur—Surya provides contextualized, image-based outputs. This marks the first time solar scientists have access to a model that can combine large-scale pattern recognition with the fine detail required for real-world applications. In effect, Surya brings the sophistication of AI image generation and recognition into the realm of heliophysics.

Building on IBM and NASA’s Partnership

The launch of Surya is not an isolated achievement, but the continuation of a productive collaboration between IBM and NASA. The two organizations have already pioneered the use of AI to analyze Earth’s weather and environmental data, unlocking insights that inform climate science, agriculture, and disaster preparedness. Surya represents the expansion of this expertise beyond Earth, into the realm of space.

By making Surya open-source and hosting it on Hugging Face, IBM and NASA have ensured that the scientific community, industry leaders, and even independent researchers can access and build upon the model. This democratization of technology underscores the urgency of addressing solar weather threats and the belief that collaboration is key to preparing for them.

Looking Ahead

The unveiling of Surya points toward a future in which AI plays a central role in humanity’s relationship with space. As our dependence on satellites and global communications deepens, and as space exploration ventures further into uncharted territory, the need for reliable solar forecasting will only intensify. Surya is more than a technical achievement—it is an essential tool for resilience, safety, and discovery.

At the same time, Surya highlights the potential of foundation models to advance scientific understanding on multiple fronts. Just as AI has revolutionized language, medicine, and image analysis, it now has the potential to transform heliophysics. The Sun, once studied primarily through telescopes and satellites, is becoming more knowable through data-driven intelligence.

IBM and NASA’s message is clear: the frontier of AI is no longer confined to Earth. It extends outward, to the forces that shape our solar system and the future of our civilization. With Surya, humanity gains not only a new lens on the Sun, but also a safeguard against the risks that come with our ever-growing reliance on space.