Modern technological infrastructure in the geospace and on the ground is very sensitive to solar-terrestrial connections leading to space weather events resulting from the magnetosphere-ionosphere-thermosphere coupling. Such events are in turn linked to the high variability of the Sun, eg., long-term, solar activity; middle term, seasons; and short term, IMF By and Bz variations. These phenomena also impact how solar wind and magnetic structures propagate in the interplanetary space, which subsequently affect the solar wind-magnetosphere-ionosphere coupling, leading to different effects in geomagnetic activity.
Recent experimental and modeling studies have shown that solar wind driving with asymmetric conditions such as, e.g., inclined interplanetary shocks and other solar wind structures, can control electromagnetic energy input in the magnetosphere-ionosphere system leading to several asymmetric responses within the system.
The environment in which space weather drivers take place and interact with the Earth’s magnetosphere is very large. For this reason, it is very difficult to grasp a general observational perception of the whole system because spacecraft observations during a single event or short period are very sparse. However, there are three ways these difficulties can be alleviated: first, more satellites are available in the interplanetary space and the geospace for simultaneous observations including causes and the subsequent space weather effects; second, numerical simulations performed with modernized numerical codes and more robust supercoputers can provide better understanding of the general dynamics of the system; and third, deep learning techniques can be applied to large-scale datasets for the improvement of prediction and forecasting tools and methods. Therefore, the goal of this Research Topic is to bring together researchers whose research goals are to address asymmetric effects in space weather drivers and subsequent effects on the magnetosphere-ionosphere-thermosphere system.
This Research Topic focuses on asymmetric effects of space weather drivers and the subsequent geomagnetic activity in space and on the ground. We invite studies that focus on solar activity, including active regions and coronal holes, asymmetric effects in CME propagation and their impacts on prediction and forecasting models, inner magnetosphere response (radiation belt energetic particles, ULF waves and wave-particle interaction) to asymmetric solar wind driving, magnetic field at geosynchronous orbit, ionospheric irregularities, auroral substorms, ground dB/dt variations, neutral mass density enhancements, and many others. This research topic aims to gather original research papers on observations, simulations, and application of deep learning techniques. We also encourage the submission of review papers as well as perspective papers looking into the future of this research area.
Modern technological infrastructure in the geospace and on the ground is very sensitive to solar-terrestrial connections leading to space weather events resulting from the magnetosphere-ionosphere-thermosphere coupling. Such events are in turn linked to the high variability of the Sun, eg., long-term, solar activity; middle term, seasons; and short term, IMF By and Bz variations. These phenomena also impact how solar wind and magnetic structures propagate in the interplanetary space, which subsequently affect the solar wind-magnetosphere-ionosphere coupling, leading to different effects in geomagnetic activity.
Recent experimental and modeling studies have shown that solar wind driving with asymmetric conditions such as, e.g., inclined interplanetary shocks and other solar wind structures, can control electromagnetic energy input in the magnetosphere-ionosphere system leading to several asymmetric responses within the system.
The environment in which space weather drivers take place and interact with the Earth’s magnetosphere is very large. For this reason, it is very difficult to grasp a general observational perception of the whole system because spacecraft observations during a single event or short period are very sparse. However, there are three ways these difficulties can be alleviated: first, more satellites are available in the interplanetary space and the geospace for simultaneous observations including causes and the subsequent space weather effects; second, numerical simulations performed with modernized numerical codes and more robust supercoputers can provide better understanding of the general dynamics of the system; and third, deep learning techniques can be applied to large-scale datasets for the improvement of prediction and forecasting tools and methods. Therefore, the goal of this Research Topic is to bring together researchers whose research goals are to address asymmetric effects in space weather drivers and subsequent effects on the magnetosphere-ionosphere-thermosphere system.
This Research Topic focuses on asymmetric effects of space weather drivers and the subsequent geomagnetic activity in space and on the ground. We invite studies that focus on solar activity, including active regions and coronal holes, asymmetric effects in CME propagation and their impacts on prediction and forecasting models, inner magnetosphere response (radiation belt energetic particles, ULF waves and wave-particle interaction) to asymmetric solar wind driving, magnetic field at geosynchronous orbit, ionospheric irregularities, auroral substorms, ground dB/dt variations, neutral mass density enhancements, and many others. This research topic aims to gather original research papers on observations, simulations, and application of deep learning techniques. We also encourage the submission of review papers as well as perspective papers looking into the future of this research area.