Estimation of Energy Budget of the Driven Ionosphere-Thermosphere System
No abstract provided
Meng, Xing↗
Engineering topics
Meng, Xing
Publications and source records attributed to Meng, Xing.
Quantifying Solar Wind and Ionospheric Total Electron Content Coupling Using Information Theory
No abstract provided
Verkhoglyadova, Olga P.↗
Modeling Near-field Co-Seismic Ionospheric Disturbances During the 2015 Illapel Earthquake
No abstract provided
Verkhoglyadova, Olga P.↗
Meso-Scale Modelling of the I-T System Using Local Electron Density Measurements and Two-Dimensional Electric Field Estimates: HIME v.02
No abstract provided
Semeter, Joshua L.↗
Modeling Mesoscale Electrodynamics for the High-latitude Ionosphere
No abstract provided
Semeter, Joshua L.↗
Upper Atmospheric Responses to Impulsive Surface Disturbances
No abstract provided
Verkhoglyadova, Olga↗
Quantifying Contributions of External Drivers to Global Ionospheric Map Variability
UNKNOWN
Verkhoglyadova, Olga↗
Quantifying Contributions of External Drivers to Global Ionospheric Map Variability
UNKNOWN
Verkhoglyadova, Olga↗
Revealing External Drivers of Global Ionospheric Map Using Information Theory
No abstract provided
Verkhoglyadova, Olga↗
GITM simulations with High-latitude Input for Meso-scale Electrodynamics (HIME)
UNKNOWN
Semeter, Josh↗
Current Status and Perspectives to Detect Natural Hazards Using GNSS-Based Ionospheric Measurements
We discuss current status and new directions in detection of natural hazards generated ionospheric signatures using GNSS-based ionospheric measurements. By studying the propagation properties of ionospheric perturbations generated by natural hazards, and applying sophisticated physics-based modeling, we are on track to develop new techniques for detection of natural hazards that can greatly reduce damage to human lives and property. It is also expected that real-time ionospheric monitoring of TEC perturbations might become an integral part of existing natural hazards warning systems.
Komjathy, Attila↗