Conveners
Poster Session 6.6
- Francesca Zuccarello (Istituto Nazionale di Astrofisica (INAF))
Powerful solar phenomena, such as flares, coronal mass ejections, affect the space environment, the dynamics of near-Earth space. As a rule, sudden disturbances in the near-earth space environment can cause disruptions in the operation of various communication systems, of ground-based electrical energy systems. In this regard, it is relevant to develop recommendations for identifying...
The results of studies the influence of solar phenomena, such as coronal mass ejections (CMEs) and high-speed solar wind streams (HSS), on the characteristics of the ionosphere are presented. A set of space weather parameters (type and speed of coronal mass ejections, X-ray flux, high-speed solar wind velocity) is considered, which made it possible to reveal the dominant physical connections...
One of the main goals of solar physics is the timely identification of eruptive active regions. Space missions such as Solar Orbiter or future Space Weather forecasting missions would largely benefit from the achievement of this goal. Our aim is to show how a physics based technique can provide real time indications that an active region will produce an eruption with a simple green/amber/red...
We study the evolution of stream and co-rotating interaction regions (SIRs and CIRs) as they propagate from Earth to Mars. We incorporate solar wind plasma and magnetic field data from the OMNI database and the Mars Atmosphere and Volatile EvolutioN (MAVEN) spacecraft. Additionally, we use images from the Solar Dynamics Observatory (SDO). The investigation covers the declining phase of solar...
An important aspect in the early evolution of a coronal mass ejection (CME) is its interaction with the magnetic field in the low corona on its way to the heliosphere. This interaction can influence the trajectory and morphology of the eruption, so a better understanding of this field/eruption coupling could lead to better constraints on the inputs into Space Weather forecasting models. Here...