Results 41 to 50 of about 325,702 (157)
Neural network prediction of geomagnetic activity: a method using local Hölder exponents [PDF]
, 2002 Local scaling and singularity properties of solar wind and geomagnetic time series were analysed using Hölder exponents . It was shown that in analysed cases due to the multifractality of fluctuations, α changes from point to point.
D. Jankovičová +3 more
core +2 more sources
Prediction for Geomagnetic Disturbances with the Solar Wind Parameters Based on Neural Computational Technique [PDF]
, 2017 We try to determine what solar wind parameter has an impact on the geomagnetic disturbance based on neural computational method “potential learning (PL)”.
野和田, 基晴 +5 more
core +1 more source
Analysis for the results of geomagnetic storms measured by Macau Science Satellite-1
Earth and Planetary PhysicsStrong flares and/or coronal mass ejections (CMEs) could bring us disastrous space weather, destroy crucial technology in space, and cause a large-scale blackout during some extreme cases.
HaiSheng Ji +4 more
doaj +1 more source
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 10, October 2026.Abstract The Geomagnetic Polarity Time Scale (GPTS) is essential to date geological events in stratigraphic sequences and to reconstruct plate motions. The first GPTSs were based on the record of magnetic anomalies created by seafloor spreading, calibrated by a few radioisotopic dates.
A. Malinverno, S. R. Meyers
wiley +1 more source
Studies of geomagnetic disturbance and allied effects
, 1960 I. Journal of Atmospheric and Terrestrial Physics, 1951, Vol. 1, pp. 223 to 232. Butterworth-Springer, London Geomagnetic " sudden commencements " at Lerwick D. H. McINTosg (Received 12 November 1950) II.
McIntosh, D. H.
core +3 more sources
Analysis on the Impact of Geomagnetic Storm on Reactive Power and Voltage in Extrahigh Voltage Power Grid [PDF]
E3S Web of Conferences, 2019 With the growing scale of the power grid and the improvement of the voltage level, the geomagnetically induced currents (GICs) generated by geomagnetic storms has become one of the leading factors that cause large-scale power outages in power grid ...
Kang Lan +3 more
doaj +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Modeling earthquake clustering in space and time is central to understanding seismicity patterns and improving forecasting. The Epidemic‐Type Aftershock Sequence (ETAS) model, grounded in the Hawkes process, has long been the standard approach for describing aftershock triggering through fixed, empirically defined kernel functions.
Chengxiang Zhan +3 more
wiley +1 more source
The driving mechanisms of particle precipitation during the moderate geomagnetic storm of 7 January 2005 [PDF]
, 2007 International audienceThe arrival of an interplanetary coronal mass ejection (ICME) triggered a sudden storm commencement (SSC) at ~09:22 UT on the 7 January 2005. The ICME followed a quiet period in the solar wind and interplanetary magnetic field (IMF).
N. Longden +7 more
core +2 more sources
Spatial distribution of temperature during geomagnetic disturbances
Solar-Terrestrial Physics, 2018 We propose an index of efficiency of the solar activity effect on the tropospheric temperature, which takes into account the spatial irregularity of the response to this effect.
Karakhanyan A.A., Molodykh S.I.
doaj +1 more source
Deep Neural Networks With Convolutional and LSTM Layers for SYM‐H and ASY‐H Forecasting
Space Weather, 2021 Geomagnetic indices quantify the disturbance caused by the solar activity on a planetary scale or in particular regions of the Earth. Among them, the SYM‐H and ASY‐H indices represent the (longitudinally) symmetric and asymmetric geomagnetic disturbance ...
Armando Collado‐Villaverde +2 more
doaj +1 more source