Results 11 to 20 of about 112 (109)

Variation of Global Ionospheric Scintillation and Its Effect on GPS Kinematic PPP‐AR Performance During Geomagnetic Storms in Solar Cycle 25: A Statistical Analysis

Space Weather, Volume 24, Issue 10, October 2026.
Abstract Enhanced small‐scale ionospheric irregularities during geomagnetic storms can disturb Global Navigation Satellite System (GNSS) carrier‐phase tracking and are associated with reduced stability of ambiguity‐fixed precise point positioning (PPP‐AR), but their impact on kinematic positioning remains insufficiently quantified.
Dongsheng Zhao, Qichen Zhao, Shuanglei Cui, Kefei Zhang, Longjiang Li, Wang Li, Zhongchao Shi, Craig M. Hancock   +7 more
wiley   +1 more source

The association between oral health clusters and oral health‐related quality of life: A population‑based study of 5‑yr‑old children

European Journal of Oral Sciences, Volume 134, Issue 5, October 2026.
Abstract This study aimed to describe oral health clusters that combine dental conditions and perceived oral health and to examine the association of oral health indicators and their clusters with oral health‐related quality of life (OHRQoL) in 5‐yr‐old children.
Pedro Henrique Duarte França de Castro, Maria Augusta Bessa Rebelo, Mario Vianna Vettore   +2 more
wiley   +1 more source

Cosmic Ray Anisotropy Generated by the June 22nd 2015 Interplanetary Events

Journal of Geophysical Research: Space Physics, Volume 131, Issue 9, September 2026.
Abstract On 22 June 2015, the near Earth interplanetary space was perturbed by a series of high‐speed streamers and interplanetary coronal mass ejections associated with an active region and two low‐latitude coronal holes. The interaction of these disturbances gave rise to the complex solar wind structure observed at 1 au.
A. Lara, K. P. Arunbabu, T. Niembro
wiley   +1 more source

Near‐Earth Solar Wind Speed of Fast Coronal Mass Ejections

Journal of Geophysical Research: Space Physics, Volume 131, Issue 8, August 2026.
Abstract Using solar wind and ground magnetometer data for solar cycles 23–25, extreme‐value power‐law models are developed that quantify relationships between near‐Earth solar wind speed and Sun‐to‐Earth transit times of interplanetary coronal mass ejections (ICMEs).
Jeffrey J. Love, Ian G. Richardson, E. Joshua Rigler, Kalevi Mursula   +3 more
wiley   +1 more source

Physics‐Embedded Deep Learning Reveals the Memory Effect of Ionospheric Electron Density in Response to Solar EUV Forcing

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Precise characterization of the electron density profile is crucial for optimizing high frequency communications. Reconstruction models often assume an instantaneous ionospheric response to solar forcing or using time delays, neglecting the time‐integrated cumulative “memory effect” of plasma dynamics.
Hongwei Gong, Hanxian Fang, Die Duan, Chao Xiao, Jintai Li, Chenghao Li, Hongtao Huang, Ganming Ren, Chuyue Zhou, Han Wu   +9 more
wiley   +1 more source

The UK Met Office’s Coronal Mass Ejection (CME) Ensemble Prediction System

Space Weather, Volume 24, Issue 7, July 2026.
Abstract We describe the 24‐member Coronal Mass Ejection (CME) ensemble prediction system that is used operationally at the UK's Met Office Space Weather Operations Center (MOSWOC) to forecast the arrival time of CMEs at Earth. The ensemble system was built on ad‐hoc assumptions and there is the need to investigate whether the technique can be improved
Siegfried Gonzi, D. R. Jackson, F.‐X. Bocquet, V. J. Pizzo, E. Adamson, G. Millward, A. R. Marble, D. Odstrcil, C. N. Arge   +8 more
wiley   +1 more source

A Model for Recommending Historical Similar Events in Forecasting CME Geoeffectiveness

Space Weather, Volume 24, Issue 7, July 2026.
Abstract Coronal mass ejections (CMEs) are among the key solar eruptive activities, triggering space weather disturbances. Thus, forecasting their geoeffectiveness has become a research focus. This study constructs a model to recommend similar events for forecasting the geoeffectiveness of CMEs.
Yurong Shi, Bingxian Luo, Jingjing Wang, Yanhong Chen, Siqing Liu   +4 more
wiley   +1 more source

Solar Energetic Particle Prediction in the Inner Heliosphere Using Deep Learning and PSP/IS⊙IS Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Solar events, such as coronal mass ejections and solar flares, accelerate large numbers of energetic charged particles, producing solar energetic particle (SEP) events that can harm astronauts, damage satellites, and potentially damage infrastructure on Earth.
Tate Hutchins, Spiridon Kasapis, Hameedullah Farooki, Manuel E. Cuesta, Lengying Khoo, Sungmin Pak, Robert Czarnota, Jamie Rankin, Jamey Szalay, Zigong Xu, Georgios Livadiotis, Nikolaos Sarlis, David McComas   +12 more
wiley   +1 more source

How Does the Definition of a Geomagnetic Storm Affect the Contents of the Resulting Storm List?

Space Weather, Volume 24, Issue 5, May 2026.
Abstract A geomagnetic storm is a significant and prolonged disturbance of the Earth's magnetic field caused by an enhancement of the ring current. Storms are typically identified using magnetic field measurements from multiple ground‐based magnetometers, and the corresponding dates and times of multiple storms can be collated to form a storm list ...
Atlas M. Patrick, John C. Coxon, Sarah N. Bentley, Maria‐Theresia Walach, Kyle R. Murphy, I. Jonathan Rae, Isobel S. Lockley   +6 more
wiley   +1 more source

Human‐Interpretable SEP Event Prediction Using White‐Box Explainable AI

Space Weather, Volume 24, Issue 4, April 2026.
Abstract Solar energetic particle (SEP) events pose radiation risks to astronauts and space systems, making their prediction essential. Although various prediction models have been developed, most machine learning (ML)‐based models lack interpretability; that is, it is difficult to explain the reasons behind individual predictions.
Naho Fujita, Yuta Kato, Kanya Kusano, Takashi Yanase, Chihiro Mitsuda   +4 more
wiley   +1 more source