Results 171 to 180 of about 126,546 (328)
Abstract We developed a deep convolutional neural network‐based program code that automatically detects equatorial plasma bubbles (EPBs), segments EPB morphologies, and then extracts their features (including EPBs' northernmost foot latitudes and zonal drift velocities) from OI 630 nm airglow images.
Jia Zhong+7 more
wiley +1 more source
Abstract In this paper, we developed an efficient regional three‐dimensional data assimilation model focused on the middle‐to‐high latitude ionosphere in the Northern Hemisphere. The model employed the Empirical Canadian High Arctic Ionospheric Model (E‐CHAIM) as the background, which was specifically optimized for high‐latitude applications and has ...
Ling‐Xin Zhao+12 more
wiley +1 more source
Experimental and theoretical studies of the behaviour of slow electrons in air. II. Ionospheric and other applications [PDF]
L.G.H. Huxley
openalex +1 more source
Abstract The enhanced variation of the magnetic field during severe to extreme geomagnetic storms induces a large geoelectric field in the subsurface. Grounded infrastructure can be susceptible to geomagnetically induced currents (GICs) during these events.
C. D. Beggan+12 more
wiley +1 more source
Global Sporadic‐E Prediction and Climatology Using Deep Learning
Abstract Sporadic‐E Es $\left({E}_{s}\right)$ is an ionospheric phenomenon defined by strong layers of plasma which may interfere with radio wave propagation. In this work, we develop deep learning models to improve the understanding of Es ${E}_{s}$, including the presence, intensity and height of the layers. We developed three separate models.
J. A. Ellis, D. J. Emmons, M. B. Cohen
wiley +1 more source
Solar Cycle and Seasonal Dependences of Field‐Aligned Currents
Abstract Enhancements of Birkeland field‐aligned currents (FACs) have been reported during magnetospheric substorms and geomagnetic storms. While FACs related to geomagnetic disturbances have been extensively studied, the long‐term variations of FACs remain less explored.
Rajkumar Hajra+5 more
wiley +1 more source
Abstract Traveling ionospheric disturbances (TIDs) driven by a large number of internal and external sources are detectable with dense networks of ground‐based Global Navigation Satellite System (GNSS) receivers' measurements of total electron content (TEC).
P. A. Inchin+6 more
wiley +1 more source
Finite difference time domain simulation of the Earth-ionosphere resonant cavity: Schumann resonances [PDF]
Craddock, IJ+5 more
core +1 more source