For life on Earth, the Sun is the most important astrophysical object in the universe. It is the overwhelming source of energy to the Earth, and it has a potentially threatening effect on Earth. This occurs in the form of space weather, caused by the interplanetary magnetic field originating from the Sun, the fast solar wind, and coronal mass ejections, which affect not only our natural environment, but also sensitive technical systems such as satellites and communications, or the power grid. On longer time scales, the changes in solar irradiance influence the Earth’s atmosphere and may contribute to global climate variability.
The variability and activity of the Sun are caused by the Sun’s highly structured and strongly dynamic magnetic field. The field is responsible for the appearance of dark sunspots and bright faculae, for the high temperature and shape of the corona, and for the acceleration of the solar wind. It produces massive flares and coronal mass ejections. The magnetic field and its cycle is also the driver of the variations in solar irradiance. However, the solar magnetic field remains ill-understood.
The interactions of the magnetic field with the turbulent convection acting in and below the solar atmosphere structure the field on a wide range of spatial scales. Similarly, the field is very dynamic and evolves rapidly. Hence, to get to the heart of the causes of solar activity and variability, the magnetic field must be precisely and reliably measured, not just at the solar surface, but also in the next higher layer, the chromosphere, the most enigmatic part of the solar atmosphere. At the same time, it is necessary to complement such measurements with the best techniques to extract information from the data and the insights gained from numerical simulations.
The purpose of the SOLMAG project is to elucidate the physics underlying the structure and dynamics of the solar magnetic field responsible for the Sun’s activity and variability. This goal will be achieved by following an innovative integral approach, combining novel instruments, the next generation of techniques for data analysis and state-of-the-art 3D numerical simulations.