Artificial intelligence improves prediction of solar storms

In the current "space weather" study, an international team headed by the Central Institute of Meteorology and Geodynamics (ZAMG) and the Institute for Space Research (IWF) of the Austrian Academy of Sciences was able to create static solar wind models using new machine learning – combining algorithms and thus improving space weather forecasting. June 17, 2021 – Space weather not only ensures remarkable light processes, also known as polar lights, but can also have a huge impact on our modern technologies. So-called geomagnetic storms, for example, can have a significant impact on power supplies, GPS and other communications systems that our modern society depends on. The expansion of our space programs and the increasing human presence in space, such as the International Space Station or soon again on the Moon, require an accurate prediction of the solar wind. The solar wind is a stream of charged particles that spreads from our central star into space and also hits the Earth's magnetic field.