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In this paper an attempt is made to verify the hypothesis on the role of geomagnetic disturbances as a factor determining the intensity of traveling ionospheric disturbances (TIDs). To improve the statistical validity of the data, we have…

Records of geomagnetic measurements have been analyzed looking for evidences of possible precursors for magnetic storms. With this objective, the main magnetic storms in the period 1998-2002 have been located in Dst index record. Periods…

Geophysics · Physics 2007-05-23 Andres R. R. Papa , Lilian P. Sosman

Geomagnetic storms (GS) occur when solar winds disrupt Earth's magnetosphere. GS can cause severe damages to satellites, power grids, and communication infrastructures. Estimate of direct economic impacts of a large scale GS exceeds $40…

Machine Learning · Computer Science 2024-01-22 Iris Yan

Geomagnetic storms, disturbances of Earth's magnetosphere caused by masses of charged particles being emitted from the Sun, are an uncontrollable threat to modern technology. Notably, they have the potential to damage satellites and cause…

Machine Learning · Computer Science 2022-04-13 Kyle Domico , Ryan Sheatsley , Yohan Beugin , Quinn Burke , Patrick McDaniel

Solar radio flux along with geomagnetic indices are important indicators of solar activity and its effects. Extreme solar events such as flares and geomagnetic storms can negatively affect the space environment including satellites in…

We review the recurrence intervals as a function of ground motion amplitude at several terrestrial locations, and make the first interplanetary comparison with measurements on the Moon, Mars, Venus and Titan. This empirical approach gives…

Earth and Planetary Astrophysics · Physics 2017-12-06 Ralph Lorenz , Mark Panning

In exploration seismology, seismic inversion refers to the process of inferring physical properties of the subsurface from seismic data. Knowledge of physical properties can prove helpful in identifying key structures in the subsurface for…

Signal Processing · Electrical Eng. & Systems 2019-06-07 Ahmad Mustafa , Motaz Alfarraj , Ghassan AlRegib

The problem of prediction of a given time series is examined on the basis of recent nonlinear dynamics theories. Particular attention is devoted to forecast the amplitude and phase of one of the most common solar indicator activity, the…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Stefano Sello

Many systems used by society are extremely vulnerable to space weather events such as solar flares and geomagnetic storms which could potentially cause catastrophic damage. In recent years, many works have emerged to provide early warning…

Machine Learning · Computer Science 2020-11-24 Charles Topliff , Morris Cohen , William Bristow

We propose a novel method for analyzing precursory seismic data before an earthquake that treats them as a Markov process and distinguishes the background noise from real fluctuations due to an earthquake. A short time (on the order of…

Earthquake occurrence is notoriously difficult to predict. While some aspects of their spatiotemporal statistics can be relatively well captured by point-process models, very little is known regarding the magnitude of future events, and it…

Geophysics · Physics 2026-04-29 Neri Berman , Oleg Zlydenko , Oren Gilon , Yossi Matias , Yohai Bar-Sinai

We provide a Wavelet analysis of Big Data in Solar Terrestrial Physics. In order to explain and predict the dynamics of the geomagnetic phenomena we analyze high frequency time series data from different sources: 1. The Interplanetary…

Space Physics · Physics 2019-06-02 Bozhidar Srebrov , Ognyan Kounchev , Georgi Simeonov

Geomagnetic storms, caused by solar wind energy transfer to Earth's magnetic field, can disrupt critical infrastructure like GPS, satellite communications, and power grids. The disturbance storm-time (Dst) index measures storm intensity.…

Artificial Intelligence · Computer Science 2025-10-17 Md Abrar Jahin , M. F. Mridha , Zeyar Aung , Nilanjan Dey , R. Simon Sherratt

The vertical component (Z) of the geomagnetic field observed by ground-based observatories of the INTERMAGNET network has been used to analyze the effects of the movement of electrically conducting sea water through the geomagnetic field…

Space Physics · Physics 2011-08-25 Virginia Klausner , Margarete O. Domingues , Odim Mendes , Andres R. R. Papa

We discuss a prediction of the solar activity on a short time-scale applying the method based on a combination of a nonlinear mean-field dynamo model and the artificial neural network. The artificial neural network which serves as a…

Context. Far-side helioseismology is a technique used to infer the presence of active regions in the far hemisphere of the Sun based on the interpretation of oscillations measured in the near hemisphere. A neural network has been recently…

Solar and Stellar Astrophysics · Physics 2021-08-25 E. G. Broock , T. Felipe , A. Asensio Ramos

The forecasting of local GIC effects has largely relied on the forecasting of dB/dt as a proxy and, to date, little attention has been paid to directly forecasting the geoelectric field or GICs themselves. We approach this problem with…

Geophysics · Physics 2022-02-17 R. L. Bailey , R. Leonhardt , C. Möstl , C. Beggan , M. A. Reiss , A. Bhaskar , A. J. Weiss

Although space weather events may not directly affect human life, they have the potential to inflict significant harm upon our communities. Harmful space weather events can trigger atmospheric changes that result in physical and economic…

Solar and Stellar Astrophysics · Physics 2024-05-07 Shlesh Sakpal

Coronal holes (CHs) are the source of high-speed streams (HSSs) in the solar wind, whose interaction with the slow solar wind creates corotating interaction regions (CIRs) in the heliosphere. Whenever the CIRs hit the Earth, they can cause…

Solar and Stellar Astrophysics · Physics 2023-01-18 Simona Nitti , Tatiana Podladchikova , Stefan J. Hofmeister , Astrid M. Veronig , Giuliana Verbanac , Mario Bandić

The ground motion prediction equation is commonly used to predict the seismic intensity distribution. However, it is not easy to apply this method to seismic distributions affected by underground plate structures, which are commonly known…

Computer Vision and Pattern Recognition · Computer Science 2022-08-17 Koyu Mizutani , Haruki Mitarai , Kakeru Miyazaki , Ryugo Shimamura , Soichiro Kumano , Toshihiko Yamasaki