Reading the Sun before it turns toward Earth

NASA-supported astrophysicists and data scientists have developed a method for predicting storm-producing active regions on the Sun. The work is part of COFFIES—the Consequence Of Fields and Flows in the Interior and Exterior of the Sun project.

Earlier warning of active regions could strengthen space-weather forecasting. That matters for spacecraft, communications and future exploration beyond low Earth orbit.

Active regions are concentrations of magnetic complexity that can produce sunspots, flares and eruptions. Forecasting them before they rotate into direct view could extend the time available to interpret space-weather risk. The COFFIES work looks for subtle signatures in solar observations rather than waiting for a mature sunspot group to become obvious.

The project combines helioseismology—the study of waves moving through the Sun—with magnetic-field measurements and machine learning. Reports on the model describe predictions up to roughly 12 hours before an emerging region becomes visible. That is a research result, not a guarantee that every future active region will be found or that every detected region will produce a major storm.

Operational forecasters would treat such a model as another input alongside direct imagery, magnetic maps and existing physical models. The near-term value is therefore supplementary: a probabilistic early signal that can focus attention. Continued validation across different phases of the solar cycle will determine whether it becomes dependable enough for routine use.

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