Team title: Worst-case scenario for extreme solar events
Team ID: S1-02
Ilya Usoskin (University of Oulu, Finland), email@example.com
Keywords (impact): Climate, Electric power systems, GICs, Satellite/debris drag, Navigation and/or Communications
Keywords (activity type): Understanding, Modeling, Forecasting, Assessment
Solar eruptive events may cause serious consequences for the terrestrial system, including hazards for space-based technologies, human beings and even ground-based systems. The era of direct solar studies covers several decades and does not allow to assess extremes of the solar events and answer questions like: -- What is an extreme event? -- How often can they occur? -- Does Sun have a limit in producing extreme events? These question can be answered using indirect proxy data either in the solar past (cosmogenic proxy on multi-millennial time scales) or a large statistic of sun-like stars. This team will be focused on studying this extreme-value statistic and set up probabilistic scenarios for extreme and worst-case events.
- To study extreme solar events in the past (multi-millennial time scale) using proxy data.
- To estimate super-flare probabilities using the statistic of sun-like stars.
- To provide a probabilistic model for extreme solar event occurrence.
- To set up the worst-case scenario and its parameters.
- To assess the expected impacts of severe events.
- Extreme space weather events and their impacts,
- Impact on human exploration and inter-planetary missions;
- Research on solar activity indices for constraining long-term, extremely hazardous solar variability
- two applications to ISSI International teams (2020-2021) are made on extreme solar events and their impact on the terrestrial environment;
- if the applications fail, biannual meetings (e.g., at European Cosmic Ray Symposium, Nijmegen, July 2020) or telecons on the coordination of efforts in studying extreme events will be arranged;
- bridging solar, terrestrial and stellar community in studying effects of super-flare on planets.
Clusters with overlapping topics:
S1: Long term solar variability,
S3: Solar eruptions,
H3: Radiation Environment in Heliosphere