Results 81 to 90 of about 425 (190)

Comprehensive Validation of Novel Deep Learning Architectures to Forecast Geomagnetic Substorms

Space Weather, Volume 24, Issue 6, June 2026.
Abstract Magnetic substorms are disturbances in the terrestrial magnetosphere that can have significant space weather impacts, although forecasting their onset accurately remains an open problem. In this study, we develop multiple novel machine learning architectures based on convolutional neural networks, long short‐term memory networks, extreme ...
A. Essop, N. Mbatha, J. A. E. Stephenson
wiley   +1 more source

An HHT–ANN Framework for Short‐Term Kp Forecasting

Space Weather, Volume 24, Issue 6, June 2026.
Abstract The geomagnetic activity index Kp is an important indicator of solar wind–magnetosphere coupling, and accurate 3‐hr‐ahead forecasting is important for space‐weather monitoring and warning. Because upstream solar wind and interplanetary magnetic field (IMF) signals are strongly nonlinear and nonstationary, methods based only on conventional ...
P. Yang, H. S. Fu, H. Lan, C. X. Du, W. D. Fu, J. B. Cao   +5 more
wiley   +1 more source

Ionospheric disturbances in Japan detected by ALOS-2 subband azimuth offset

Earth, Planets and Space
Global Navigation Satellite Systems (GNSS) and synthetic aperture radar (SAR) are valuable tools for observing ionospheric disturbances. While GNSS provides continuous temporal data with limited spatial resolution, SAR offers high-resolution spatial ...
Yu Morishita, Ryu Sugimoto, Toru Kouyama, Chiaki Tsutsumi   +3 more
doaj   +1 more source

Space Weather Disrupts Low‐Latitude Network RTK: Evidence From LSTIDs During June 2025 Geomagnetic Storm

Space Weather, Volume 24, Issue 6, June 2026.
Abstract The geomagnetic storm on 1 June 2025 generated pronounced large‐scale traveling ionospheric disturbances (LSTIDs) over China, captured by dense GNSS networks. It has been unclear whether network real‐time kinematic (NRTK) positioning, which relies on spatial interpolation from multiple reference stations, remains effective under such extreme ...
Tong Liu, Jianghe Chen, Wenfeng Nie, Zhibin Yu, Rui Song, Wu Chen, Pan Xiong, Tianhe Xu, Bo Chen   +8 more
wiley   +1 more source

Measuring Power of Earth Disturbances Using Radio Wave Phase Imager. [PDF]

J Imaging, 2023
Sharif RNK, Herring RA.
europepmc   +1 more source

Three‐Dimensional Characterization of Global Ionospheric Disturbances During the 15 January 2022 Tonga Volcanic Eruption

Geophysical Research Letters
The global 3‐dimensional structure of the concentric traveling ionospheric disturbances (CTIDs) triggered by 2022 Tonga volcano was reconstructed by using the 3‐dimensional computerized ionospheric tomography (3DCIT) technique and extensive global ...
Changzhi Zhai, Shun‐Rong Zhang, Yibin Yao, Wenjun Dong, Ercha Aa, Jian Kong, Dongjie Yue, Yutian Chen, Wenjie Peng, Tingting Yu   +9 more
doaj   +1 more source

Prospects for meteotsunami detection in earth's atmosphere using GNSS observations. [PDF]

GPS Solut, 2023
Vergados P, Krishnamoorthy S, Martire L, Mrak S, Komjáthy A, Morton YTJ, Vilibić I.   +6 more
europepmc   +1 more source

Analysis of Ionospheric Disturbances in China During the December 2023 Geomagnetic Storm Using Multi-Instrument Data

Remote Sensing
This study investigates the ionospheric response over China during the geomagnetic storm that occurred on 1–2 December 2023. The data used include GPS measurements from the Crustal Movement Observation Network of China, BDS-GEO satellite data from IGS ...
Jun Tang, Sheng Wang, Jintao Wang, Mingxian Hu, Chaoqian Xu   +4 more
doaj   +1 more source

Generation of equatorial plasma bubble after the 2022 Tonga volcanic eruption. [PDF]

Sci Rep, 2023
Shinbori A, Sori T, Otsuka Y, Nishioka M, Perwitasari S, Tsuda T, Kumamoto A, Tsuchiya F, Matsuda S, Kasahara Y, Matsuoka A, Nakamura S, Miyoshi Y, Shinohara I.   +13 more
europepmc   +1 more source

Morphology and Climatology of Nighttime Periodic Ionospheric TEC Disturbances Associated With MSTIDs Over China

Space Weather
In this study, the morphology and climatology of the nighttime periodic disturbances associated with medium‐scale traveling ionospheric disturbances (MSTIDs) are investigated over the entire China sector from January 2014 to August 2017, using data from ...
Ke Li, Donghe Zhang, Yi Zeng, Yaoyu Tian, Guanglin Yang, Yongqiang Hao   +5 more
doaj   +1 more source