Results 201 to 210 of about 7,951 (302)

Terrestrial Space Weather Protection Through Human‐Produced Mass‐Loading

open access: yesSpace Weather, Volume 24, Issue 6, June 2026.
Abstract While humans become more reliant on Earth's space environment, the potential for significant harm from severe space weather continues to grow. As structures from the sun reach Earth's magnetosphere and space environment, they deposit energy that fuels geomagnetic storms.
B. M. Walsh, D. T. Welling, Z. Huang
wiley   +1 more source

Prediction Efficiency Skill Scores for Event Detection Analysis

open access: yesSpace Weather, Volume 24, Issue 6, June 2026.
Abstract Prediction efficiency (PE) is a skill score that compares the data‐model metric of mean square error against the variance of the observations (i.e., using the average of the observed values as the “reference model” in the general skill score formula).
Michael W. Liemohn   +3 more
wiley   +1 more source

A Major Update to the PyIRI Model

open access: yesSpace Weather, Volume 24, Issue 6, June 2026.
Abstract This paper presents a major update to the PyIRI model, a fully vectorized Python implementation of the International Reference Ionosphere (IRI). The update reformulates the IRI core coefficients using spherical harmonics in Quasi‐Dipole (QD) latitude and Magnetic Local Time coordinates, replacing the legacy geographic‐coordinate‐based basis ...
Nina Servan‐Schreiber   +6 more
wiley   +1 more source

High‐Latitude GPS Position Error During Substorms

open access: yesSpace Weather, Volume 24, Issue 6, June 2026.
Abstract Substorms produce rapid fluctuations in Global Navigation Satellite System (GNSS) signals, leading to degraded positioning performance at high latitudes. This study investigates the correlation of auroral structures on Global Positioning System (GPS) Precise Point Positioning (PPP) error during three substorm events with different strengths ...
Weixuan Liao   +6 more
wiley   +1 more source

ST‐TFFM‐Observer: A Global Ionospheric TEC Prediction Model Based on Dynamic System Theory With Enhanced Time‐Frequency Dependence Modeling

open access: yesSpace Weather, Volume 24, Issue 6, June 2026.
Abstract ST‐Observer is a novel proposed spatiotemporal prediction model based on dynamic system theory, which has been proven to be superior to existing models in multiple spatiotemporal prediction tasks. However, its structural design results in weak time dependent modeling capabilities and a lack of frequency dependent modeling capabilities.
Liwei Sun   +6 more
wiley   +1 more source

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