Results 121 to 130 of about 13,117,941 (259)

Faint Diffuse 557.7‐nm Emissions Equatorward of the Auroral Oval: Conjugate Observations by Ground Airglow Imagers and the Arase Satellite

Journal of Geophysical Research: Space Physics, Volume 131, Issue 10, October 2026.
Abstract At subauroral latitudes, discrete auroras, such as strong thermal emission velocity enhancement and stable auroral red arcs, have been extensively studied. On the other hand, diffuse emissions at subauroral latitudes have not been studied well.
M. Gomi, K. Shiokawa, Y. Miyoshi, Y. Otsuka, S. Oyama, M. Connors, A. Shinbori, T. Hori, C.‐W. Jun, K. Yamamoto, I. Shinohara, K. Asamura, S. Kasahara, K. Keika, S. Yokota, F. Tsuchiya, A. Kumamoto, Y. Kasahara, S. Matsuda, Y. Kazama, S.‐Y. Wang, S. W. Y. Tam, T.‐F. Chang, B.‐J. Wang, A. Matsuoka, M. Teramoto   +25 more
wiley   +1 more source

Convection Velocity Covariance Estimated From SuperDARN Observations

Journal of Geophysical Research: Space Physics, Volume 131, Issue 10, October 2026.
Abstract An examination of the spatial covariance of the high‐latitude plasma convection velocity is presented. The covariance was calculated from patterns of plasma convection estimated from Super Dual Auroral Radar Network observations. The convection patterns were calculated on a magnetic latitude—magnetic local time grid from 55° ${}^{\circ}$ to 88.
W. A. Bristow, M. F. Wilcox
wiley   +1 more source

Geomagnetic data and the new national models for inclinometry of horizontal oil and gas wells in the Far North and Arctic shelf regions

Записки Горного института
This article addresses the important challenge of ensuring accurate inclinometer measurements during the construction of directional and horizontal wells in the Far North and Arctic shelf of Russia.
Vyacheslav N. Glinskikh, Petr G. Dyadkov, Oleg V. Zhdaneev, Aleksandr V. Zaitsev, Dmitry V. Kudin, Anatoly A. Soloviev   +5 more
doaj  

Recurrent neural network trained with the extended Kalman filter to forecast the geomagnetic secular variation for IGRF-14

Earth, Planets and Space
This study proposes a neural network approach for predicting the geomagnetic secular variation (SV) to improve the accuracy and efficiency of short-term geomagnetic forecasts. The International Geomagnetic Reference Field (IGRF), updated every five years,
Sho Sato, Shin’ya Nakano, Vincent Lesur, Masaki Matsushima, Takuto Minami, Hiroaki Toh   +5 more
doaj   +1 more source

Advancements in low Earth orbit satellite magnetic field measurements and global geomagnetic field modeling

地球与行星物理论评
Low Earth orbit (LEO) satellites have emerged as a primary tool for global geomagnetic field detection and model refinement, owing to their wide coverage, high resolution, and absence of geographical limitations.
Yanyan Yang, Jie Wang, Zhima Zeren, Xuhui Shen, Bin Zhou, Shigeng Yuan, Yuanqing Miao, Yue Xu   +7 more
doaj   +1 more source

Modeling regionally the geomagnetic field

, 2003
The geomagnetic field above the Earth's surface in current free region may be expressed as the gradient of a scalar potential solving Laplace equation. For regions with a fairly dense coverage of data at different altitudes, a regional model ought to offer a better spatial resolution of the regional field over the volume under study than a global field
openaire   +1 more source

On regional modelling of the main geomagnetic field [PDF]

Geofizika, 2007
In this study I applied Spherical Cap Harmonic Analyses, SCHA, with physical regularization (Korte and Holme, 2003) to synthetic series obtained from the Comprehensive model CM4 (Sabaka et al., 2004), at 46 European observatory locations and additionally 11 'virtual observatories' chosen to improve the initial data distribution. The main purpose was to
openaire   +1 more source

A Time‐Continuous Model of the 3D Ionospheric Current System and Associated Magnetic Fields in the Diurnal Variation Band

Journal of Geophysical Research: Space Physics, Volume 131, Issue 10, October 2026.
Abstract Ionospheric currents and their associated magnetic perturbations are difficult to predict due to the high variability of their driving mechanisms. In addition, the 3D structure of the currents is challenging to unravel due to the lack of direct observations within the current flow region, particularly in the E $E$‐layer.
P. Alken, G. D. Egbert, A. Maute, A. D. Richmond, G. Lu, K. Pham, M. Fillion   +6 more
wiley   +1 more source

Mathematical Model of the Geomagnetic Field

, 2006
First comes a description of a mathematical model of the geomagnetic field. Then some discussion of the classical non-uniqueness results of Backus. Further we look at more recent results concerning reconstruction of the geomagnetic field from intensity and the normal component of the field. New stability estimate for this reconstruction is obtained.
openaire   +1 more source

A Hierarchical Bayesian Model for the Global Holocene Geomagnetic Field

Journal of Geophysical Research: Solid Earth
Abstract We present a hierarchical Bayesian model of the global geomagnetic field for the last 8,000 years. The model is built solely with thermoremanent records, which include archeomagnetic and volcanic data. Building upon previous work, this model includes fewer approximations and treats model hyperparameters as probabilistic ...
Maximilian Arthus Schanner, Sanja Panovska, Monika Korte   +2 more
openaire   +2 more sources