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  • SH21F: Monitoring and Forecasting Space and Terrestrial Weather with Ground-Based Measurements of Cosmic Rays Poster
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Primary Convener:
Viacheslav Sadykov, Georgia State University

Convener:
XIaochun He, Georgia State University
Nikola Veselinović, Institute of Physics Belgrade
Akeem Babatunde Rabiu, National Space Research and Development Agency
Enosh Herath Mudiyanselage, Georgia State University

Early Career Convener:
Enosh Herath Mudiyanselage, Georgia State University

Chair:
Viacheslav Sadykov, Georgia State University
XIaochun He, Georgia State University
Nikola Veselinović, Institute of Physics Belgrade
Enosh Herath Mudiyanselage, Georgia State University

Cosmic rays are modulated by and thus provide insight into dynamic processes in space and terrestrial environments such as long-term and transient solar activities, geomagnetic disturbances, terrestrial weather patterns, etc. Interpreting cosmic ray observations can deepen our understanding of solar-terrestrial coupling and its effects on both space and Earth’s weather systems, as well as on technological infrastructure. Established and newly-emerging ground-based neutron and muon detector networks provide near-real-time observations of cosmic ray intensity and anisotropy and offer unique opportunities to study these interactions. This session aims to bring together researchers working on network development and the use of ground-based cosmic ray observations and their connection to in-situ measurements to monitor and forecast space and terrestrial weather, therefore highlighting the progress in this interdisciplinary field. We welcome contributions involving instrument development, observational advances, data analysis and assimilation, and physics-based and statistical modeling in the area of cosmic rays and their modulation.

Index Terms
0350 Pressure, density, and temperature
2716 Energetic particles: precipitating
7599 General or miscellaneous
7999 General or miscellaneous

Cross-Listed:
NG - Nonlinear Geophysics
A - Atmospheric Sciences
SM - SPA-Magnetospheric Physics

Neighborhoods:
4. Beyond Earth

Suggested Itineraries:
Space Weather
Machine Learning and AI

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