Predicting the Impact of Solar Energetic Particles - the ADVISOR Research Project
Creators
- 1. National Observatory of Athens
- 2. NASA Goddard Space Flight Center
- 3. NASA Johnson Space Center
- 4. KBR-Wyle Laboratory
Description
A system that is in place to predict the impact of Solar Energetic Particles (SEPs) on the radiation environment is of paramount importance for the upcoming critical space exploration missions. In the coming years, astronauts will be sent to the Moon and Mars, expanding the frontiers of current knowledge. Therefore, reliable prediction systems that will deliver timely warnings on the potential of a solar eruptive event to give rise to an upcoming SEP are much needed. Currently, thorough evaluation, understanding, validation, expansion and optimization of such available predicting systems are taking place. The ADVISOR (OptimizAtion, DeliVery & Installation of the ASPECS tOol for Space WeatheR research within ISEP) project [https://members.noa.gr/atpapaio/advisor/] builds upon the ASPECS (Advanced Solar Particle Event Casting System) tool [http://phobos-srv.space.noa.gr/], a 3-tier system combining the forecasting of flares, the statistical forecast of events on the basis of flare and CME characteristics and physics and analytical modeling for predicting particle flux profiles, leading to the complete time profile of SEPs at respective energies of interest. Taking into account the initial efforts that resulted to the integration of the ASPECS’s outputs to the NASA Community Coordinated Modeling Center (CCMC) SEP Scoreboard [https://ccmc.gsfc.nasa.gov/scoreboards/sep/], with the involvement of NASA SRAG (Space Radiation Analysis Group) and the Moon to Mars (M2M) Space Weather Analysis Office, ADVISOR improves and stabilizes the functionalities and outputs offered by ASPECS. In this work, all technical and scientific refinements and updates are presented.
Files
ELASET2023_ADVISOR_print.pdf
Files
(1.8 MB)
Name | Size | Download all |
---|---|---|
md5:89c6bfaeafa42d37ba3cdde9a09ea065
|
1.8 MB | Preview Download |
Additional details
References
- Papaioannou, Athanasios et al. (2022). The Probabilistic Solar Particle Event foRecasting (PROSPER) Model. arXiv:2205.07325