Results 51 to 60 of about 1,352 (170)
Early Solar Wind and Dynamo Magnetic Field Topology Predictions for (16) Psyche and Other Asteroids
Abstract Asteroid (16) Psyche is a metal‐rich body that might record an ancient coherent magnetization if some relict crust or mantle is preserved. Herein, we use magnetohydrodynamic simulations to predict (16) Psyche's field topology for several distinct pathways: (i) an early solar wind‐induced magnetization imparted after a larger body was impacted,
Atma Anand +3 more
wiley +1 more source
Calibrating Probabilistic Solar‐Wind Forecasts Driven by the Wang‐Sheeley‐Arge Model
Abstract By spatially perturbing coronal model output within a coupled coronal‐heliospheric model we can generate probabilistic predictions of solar‐wind speed. We apply these spatial perturbations to the Wang‐Sheeley‐Arge (WSA) model output to generate large sets of input conditions for the Heliospheric Upwind eXtrapolation with time dependence (HUXt)
N. O. Edward‐Inatimi +6 more
wiley +1 more source
Extended Lead‐Time Geomagnetic Storm Forecasting With Solar Wind Ensembles and Machine Learning
Abstract Geomagnetic storms are large disruptions of the magnetosphere, which can impact satellites, communications systems, and power grids, causing significant technological and economic impacts. Current forecasting models utilize L1 satellite data, constraining lead time to a few hours, often insufficient for effective mitigation. We investigate how
M. Billcliff +6 more
wiley +1 more source
Abstract The magnetic Prandtl number in the slow solar wind is estimated by using magnetic and velocity Reynolds numbers. The Prandtl number quantifies the ratio of kinetic to magnetic diffusion rates in a plasma, and indicates which process dominates the transport dynamics in a fluid.
T. J. E. Hand +6 more
wiley +1 more source
Whistler‐Mode Waves in the Density Double Ducts
Abstract We report the recent observation of a density duct structure in the equatorial plasmasphere, identified using data from the NASA Van Allen Probes (RBSP). The structure consists of a low‐density duct located above a high‐density duct, forming a “double duct” system capable of simultaneously trapping and guiding multiple whistler‐mode waves at ...
Salman A. Nejad, Anatoly V. Streltsov
wiley +1 more source
A simplified mathematical theory of MHD power generators
We present a simplified version of the Faraday magnetohydrodynamics (MHD) generators theory. The effect of the Loretz force against the fluid ow is neglected, whence it follows the uniform ow of the plasma. We use Lazăr Dragoș’s analytic solution for the
Carabineanu Adrian
doaj +1 more source
Abstract Substorms are often described by a loading‐unloading cycle, where onset follows gradual accumulation of solar wind magnetic flux in the magnetosphere. Yet observations indicate that intense substorms can also be directly driven, though the underlying mechanism remains unresolved.
Yong Ren +8 more
wiley +1 more source
Free boundary skin current MHD (magnetohydrodynamic) equilibria [PDF]
Function theoretic methods in the complex plane are used to develop simple parametric hodograph formulae which generate sharp boundary equilibria of arbitrary shape. The related method of Gorenflo and Merkel is discussed. A numerical technique for the construction of solutions, based on one of the methods is presented.
openaire +2 more sources
Statistical Characteristics of Stormtime Bursty Bulk Flows
Abstract Bursty bulk flows (BBFs) play a significant role in transporting plasma earthward in the magnetotail. While their properties have been extensively studied, their behavior during geomagnetic storms needs further understanding. In this study, we investigate the stormtime characteristics of BBFs, and compare them to non‐stormtime, by performing a
Anusree P. Devanandan +5 more
wiley +1 more source
A Neural Network Model of Equatorial Electric Field Structures in the Inner Magnetosphere
Abstract Enabled by state‐of‐the‐art electric field measurements from the Van Allen Probes and careful calibration of the high‐quality data, we developed the first machine‐learning based inner‐magnetosphere electric field model, which covers L = 2.5–6.0 within 20° ${}^{\circ}$ around the magnetic equator.
M. Hua +6 more
wiley +1 more source

