ST4.6 | Modelling and observations of the near-Earth space weather environment
EDI
Modelling and observations of the near-Earth space weather environment
Convener: Jorge Amaya | Co-conveners: Antoine Resseguier, Melanie Heil

A continuous monitoring of the near-Earth environment is critical for the understanding of the impact of space weather on our technology in space and on the ground. An accurate description of the space weather conditions in which our planet is submerged is only possible if observations and computer models cooperate to build a coherent picture. The goal of this session is to create collaborations and build a community of physicists, computer scientists, and engineers, with the aim to create the tools, models, and procedures that maximize the use of the upcoming ESA space weather missions.

A fleet of spacecraft and instruments is being deployed by the European Space Agency to monitor the space weather activity in the near-Earth environment. The missions Aurora, SWING, SAWA, and SWORD will be launched in the next years to maintain an operational surveillance of the Earth’s ionosphere, auroras, thermosphere, and radiation belts. These new missions will complement an already large number of instruments hosted onboard existing meteorological, oceanographic, and telecommunication satellites (SOSMAG, NGRM, ICARE-NG), and other successful ESA missions like SWARM, Cluster, and Proba-3.

In addition, ESA promotes the development of computer models and machine learning techniques that assimilate data from these, and other, missions, improving our understanding of the impact of space weather on our planet.

Discover the unique capabilities and features of the latest instruments dedicated to monitoring the ionosphere, the thermosphere, the aurora, and the radiation belts, and their interactions. This session will also feature presentations on computer models that transform complex data into valuable understanding, enabling us to anticipate and address the challenges posed by space weather. Join us to be inspired by opportunities for scientific collaboration and see how these innovations support operational monitoring for end users, ultimately helping to safeguard our technology and society.

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