Results 221 to 230 of about 66,786 (325)

Topside Ionization and Effect on Altitudinal Evolution of Nocturnal Ionospheric Irregularities

open access: yesSpace Weather, Volume 24, Issue 1, January 2026.
Abstract Topside ionospheric electron density (Ne) and its control on the variabilities in nocturnal ionospheric irregularities is examined globally using electron density measurements from COSMIC‐2 and Swarm satellite, along with the Swarm satellite‐based Ionospheric Plasma Irregularity (IPIR) index for low and high solar activity (LSA and HSA ...
T. V. Sruthi, G. Manju
wiley   +1 more source

Regional Medium‐Scale Traveling Ionospheric Disturbance Propagation Model Based on BDS GEO Satellites

open access: yesSpace Weather, Volume 24, Issue 1, January 2026.
Abstract Accurate modeling of traveling ionospheric disturbances (TIDs) is essential for characterizing their spatiotemporal variations and mitigating their effects on Global Navigation Satellite System (GNSS) precise positioning. This study develops a regional medium‐scale TID (MSTID) propagation model using BeiDou geostationary orbit (GEO) total ...
Dengkui Mei   +5 more
wiley   +1 more source

The Gannon Storm's Impact on Electric and Magnetic Fields in Italy: A Regional Perspective

open access: yesSpace Weather, Volume 24, Issue 1, January 2026.
Abstract The intense May 2024 geomagnetic storm provided an opportunity to conduct the first analysis of geoelectric hazards in Italy. Data from three geomagnetic observatories and a magnetotelluric station were analyzed to examine the spatiotemporal evolution of storm‐induced variations.
Giulia Pignatiello   +5 more
wiley   +1 more source

Global Ionospheric Slab Thickness Prediction Model Using XGBoost and Ensemble Learning

open access: yesSpace Weather, Volume 24, Issue 1, January 2026.
Abstract The ionospheric equivalent slab thickness is a key parameter for understanding the plasma distribution in the ionosphere, with direct relevance to satellite navigation, communication, and skywave over‐the‐horizon radar. However, traditional prediction methods often suffer from regional biases, limiting their global applicability.
C. Han   +8 more
wiley   +1 more source

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