Global Navigation Satellite System (GNSS) observations provide a powerful remote sensing
framework for probing the coupled atmosphere–ionosphere system through measurements
of ionospheric and tropospheric propagation delays. In this seminar, I will present recent
studies utilizing GPS-derived Total Electron Content (TEC) and Integrated/Precipitable
Water Vapor (IWV/PWV) estimates to investigate a broad range of natural and anthropogenic
phenomena, including solar flares, geomagnetic storms, flash floods, earthquakes, and
ballistic missile launches.
Particular emphasis will be placed on the physical interpretation of ionospheric
disturbances associated with extreme space weather events and their temporal evolution
across different spatial scales. In parallel, I will demonstrate how GNSS tropospheric
products can be used to monitor atmospheric moisture transport and rapidly evolving
meteorological conditions related to severe weather and flash-flood-producing systems.
The seminar will further explore emerging approaches that integrate artificial intelligence,
statistical analysis, and multi-sensor electromagnetic observations to improve detection
capability, reduce modeling uncertainty, and enhance understanding of coupled lithosphere–atmosphere–ionosphere interactions. These studies demonstrate the growing
role of GNSS remote sensing as a versatile tool for environmental monitoring, hazard assessment, and geophysical research.
SUMMARY:Integrating AI and Electromagnetic Remote Sensing Across the Atmosphere- Ionosphere System: GPS-Based Monitoring of Space Weather, Natural Hazards, and Anthropogenic Events END:VEVENT END:VCALENDAR