Results 91 to 100 of about 13,823 (196)
Correlation study of some solar activity indices in the cycles 21 - 23 [PDF]
The correlation coefficients of the linear regression of six solar indices versus F10,7 were analyzed in solar cycles 21, 22 and 23. We also analyzed the interconnection between these indices and F10,7 with help of the approximation by the polynomials of
Bruevich, E. A., Bruevich, V. V.
core
Meridional Currents of the Equatorial Electrojet
Abstract The equatorial electrojet (EEJ) is a prominent eastward geomagnetic current flowing at the dayside magnetic dip equator, peaking just before noon. Associated meridional currents also flow perpendicular to the main current, predicted through modeling and observed in rocket measurements.
X. G. V. M. Topacio, A. Yoshikawa
wiley +1 more source
A Novel Model for Forecasting Geomagnetic Indices Using Machine Learning
Widely used geomagnetic activity indices like Kp or Dst, derived from the combined data from several observatories distributed worldwide, are crucial to forecasting since solar‐driven geomagnetic activity can significantly affect technology and human ...
Guram Kervalishvili +4 more
doaj +1 more source
Geomagnetic storms are the largest disturbance in the Earth's magnetic field. On May 11, 2024, a geomagnetic storm occurred at the peak of the 25th solar cycle, reaching the highest level (G5) on the planetary scale.
Rudi Čop
doaj +1 more source
Quasi‐Trapped Zebra Stripes: Radial Transport Driven by Dual‐Pulse Electric Fields
Abstract Energetic electron spectra in Earth's inner radiation belt often exhibit regular stripe‐like features, known as “zebra stripes,” which are typically attributed to the drift motion of stably‐trapped electrons disturbed by electric field perturbations.
Ziyang Wang +5 more
wiley +1 more source
Atmospheric neutral density is a crucial component to accurately predict and track the motion of satellites. During periods of elevated solar and geomagnetic activity atmospheric neutral density becomes highly variable and dynamic.
K. Murphy +7 more
doaj +1 more source
Artificial Neural Network (ANN) has proven to be very successful in forecasting a variety of irregular magnetospheric/ionospheric processes like geomagnetic storms and substorms.
Bhaskar Ankush, Vichare Geeta
doaj +1 more source
Sudden Ionospheric Disturbances Generated by Solar Flares—Not so Sudden?
Abstract It is known that solar flares generate instantaneous ionization enhancement, referred to as sudden ionospheric disturbance (SID), that occurs simultaneously across the entire dayside. In this work, we use high‐rate 1‐s data of total electron content (TEC) to analyse ionospheric response to 13 solar flares that occurred in 2003–2023.
B. Maletckii +3 more
wiley +1 more source
Applying Hpo Indices to Empirical Thermospheric Density Models During Geomagnetic Storms
Accurate atmospheric drag modeling is essential for precise orbit determination and prediction of Low Earth Orbit satellites. A key component is the thermospheric density, typically estimated using empirical models driven by geomagnetic activity indices ...
Kemin Zhu +5 more
doaj +1 more source
A Physics‐Informed Neural Network Approach to the Gannon Storm
Abstract Extreme geomagnetic storms, such as the May 2024 Gannon event, pose significant risks to technological infrastructure, requiring robust forecasting models. Here, we apply Physics‐Informed Neural Networks (PINNs) to the Burton equation to model the storm's ring current dynamics by studying the temporal evolution of the SuperMAG SMR index during
M. Lacal +3 more
wiley +1 more source

