Results 31 to 40 of about 65,677 (256)

The Influence of Sudden Stratospheric Warming on the Development of Ionospheric Storms: The Alma-Ata Ground-Based Ionosonde Observations

Atmosphere
This paper examines the response of the ionosphere to the impact of two moderate geomagnetic storms observed on January 17 and 26–27, 2013, under conditions of strong sudden stratospheric warming.
Galina Gordiyenko, Artur Yakovets, Yuriy Litvinov, Alexey Andreev   +3 more
doaj   +1 more source

Combination of Soviet-Era Surface Gravity and Modern Satellite Data for Geoid Model Computation: A Case Study for Kazakhstan

Computation
Accurate geoid determination is essential for height system unification and for converting Global Navigation Satellite System (GNSS) ellipsoidal heights to orthometric heights.
Daniya Shoganbekova, Asset Urazaliyev, Serik Nurakynov, Magzhan Kozhakhmetov, Nailya Zhaksygul, Roman Sermiagin   +5 more
doaj   +1 more source

Ionospheric convection and equivalent ionospheric currents in the dayside high‐latitude winter ionosphere [PDF]

Journal of Geophysical Research: Space Physics, 1999
Ionospheric convection inferred from Super Dual Auroral Radar Network (SuperDARN) HF radar measurements is compared with an equivalent ionospheric convection derived from ground magnetometer data in the dayside winter high‐latitude ionosphere. Although there was general agreement between observed convection patterns produced by radars and magnetometers,
W. B. Lyatsky, A. V. Kustov, G. J. Sofko, B. Jacobsen, D. André, L. L. Cogger   +5 more
openaire   +1 more source

Hybrid Geoid Modelling with AI Enhancements: A Case Study for Almaty, Kazakhstan

Algorithms
Developing a high-precision regional geoid model is a key element in modernizing Kazakhstan’s vertical reference framework and ensuring consistent GNSS-based height determination. However, the mountainous terrain of southeastern Kazakhstan, characterized
Asset Urazaliyev, Daniya Shoganbekova, Serik Nurakynov, Magzhan Kozhakhmetov, Nailya Zhaksygul, Roman Sermiagin   +5 more
doaj   +1 more source

Quiet time F2-layer disturbances: seasonal variations of the occurrence in the daytime sector [PDF]

Annales Geophysicae, 2009
Earlier revealed seasonal/latitudinal variations of the occurrence for positive and negative F2-layer Q-disturbances have been interpreted in the framework of the present-day concept of the thermosphere-ionosphere interaction. The basic process is the
A. V. Mikhailov, A. H. Depueva, V. H. Depuev   +2 more
doaj   +1 more source

Bursty Precipitation of Relativistic Electrons Unveiled by CIRBE/REPTile‐2 Measurements and Their Physical Implications

AGU Advances, Volume 7, Issue 1, February 2026.
Abstract Energetic electron precipitation plays a pivotal role in shaping Earth's radiation belt dynamics and drives significant physical and chemical changes in the upper atmosphere. However, the detailed mechanisms governing the loss of relativistic electrons have remained unclear, largely due to the limited energy coverage and coarse resolution of ...
Zheng Xiang, Xinlin Li, Daniel N. Baker, Qianli Ma, Yang Mei, Declan O’Brien, Hong Zhao, David Brennan, Theodore Sarris, Yoshizumi Miyoshi, Yoshiya Kasahara, Takefumi Mitani, Takeshi Takashima, Michael A. Temerin   +13 more
wiley   +1 more source

Association of Ionospheric Signatures to Various Tectonic Parameters During Moderate to Large Magnitude Earthquakes: Case Study [PDF]

, 2021
A. S. Sunil, Mala S. Bagiya, Quentin Blétery, D. S. Ramesh   +3 more
openalex   +1 more source

Forecasting Local Ionospheric Parameters Using Transformers

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract We present a novel method for forecasting key ionospheric parameters using transformer‐based neural networks. The model provides accurate forecasts and uncertainty quantification of the F2‐layer peak plasma frequency (foF2), the F2‐layer peak density height (hmF2), and total electron content for a given geographic location.
D. J. Alford‐Lago, C. W. Curtis, A. T. Ihler, D. P. Drob, K. A. Zawdie   +4 more
wiley   +1 more source

Application of Artificial Intelligence in Landslide Susceptibility Assessment: Review of Recent Progress

Remote Sensing
In the current work, authors reviewed the latest research results in landslide susceptibility mapping (LSM) using artificial intelligence (AI) methods.
Muratbek Kudaibergenov, Serik Nurakynov, Berik Iskakov, Gulnara Iskaliyeva, Yelaman Maksum, Elmira Orynbassarova, Bakytzhan Akhmetov, Nurmakhambet Sydyk   +7 more
doaj   +1 more source

Airborne Ground Penetrating Radar, Field Test

Remote Sensing, 2021
Deployment of a ground penetrating radar (GPR) on a flying machine allows one to substantially extend the application area of this geophysical method and to simplify carrying out large surveys of dangerous and hard-to-reach terrain, where usual ground ...
Dmitry Edemsky, Alexei Popov, Igor Prokopovich, Vladimir Garbatsevich   +3 more
doaj   +1 more source