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Full-Text Articles in Physical Sciences and Mathematics
Predicting Magnetospheric Dynamics With A Coupled Sun‐To‐Earth Model: Challenges And First Results, V. G. Merkin, M. J. Owens, Harlan E. Spence, W. J. Hughes, J. M. Quinn
Predicting Magnetospheric Dynamics With A Coupled Sun‐To‐Earth Model: Challenges And First Results, V. G. Merkin, M. J. Owens, Harlan E. Spence, W. J. Hughes, J. M. Quinn
Physics & Astronomy
[1] Results from the first Sun-to-Earth coupled numerical model developed at the Center for Integrated Space Weather Modeling are presented. The model simulates physical processes occurring in space spanning from the corona of the Sun to the Earth's ionosphere, and it represents the first step toward creating a physics-based numerical tool for predicting space weather conditions in the near-Earth environment. Two 6- to 7-d intervals, representing different heliospheric conditions in terms of the three-dimensional configuration of the heliospheric current sheet, are chosen for simulations. These conditions lead to drastically different responses of the simulated magnetosphere-ionosphere system, emphasizing, on the one …
Separation Of Spatial And Temporal Structure Of Auroral Particle Precipitation, A. Boudouridis, Harlan E. Spence
Separation Of Spatial And Temporal Structure Of Auroral Particle Precipitation, A. Boudouridis, Harlan E. Spence
Physics & Astronomy
[1] Knowledge of the dominant temporal and spatial scales of auroral features is instrumental in understanding the various mechanisms responsible for auroral particle precipitation. Single spacecraft data always suffer from temporal/spatial ambiguity. In an effort to separate the temporal and spatial variations of the aurora, we use electron and ion precipitation data from two co-orbiting satellites, F6 and F8 of the Defense Meteorological Satellite Program (DMSP). The two spacecraft have almost identical polar orbits with a small difference in period. As a result the time difference between the two measurements varies with time. We use two statistical tools in order …
Role Of Coronal Mass Ejections In The Heliospheric Hale Cycle, M. J. Owens, Nathan A. Schwadron, N. U. Crooker, W. J. Hughes, Harlan E. Spence
Role Of Coronal Mass Ejections In The Heliospheric Hale Cycle, M. J. Owens, Nathan A. Schwadron, N. U. Crooker, W. J. Hughes, Harlan E. Spence
Physics & Astronomy
[1] The 11-year solar cycle variation in the heliospheric magnetic field strength can be explained by the temporary buildup of closed flux released by coronal mass ejections (CMEs). If this explanation is correct, and the total open magnetic flux is conserved, then the interplanetary-CME closed flux must eventually open via reconnection with open flux close to the Sun. In this case each CME will move the reconnected open flux by at least the CME footpoint separation distance. Since the polarity of CME footpoints tends to follow a pattern similar to the Hale cycle of sunspot polarity, repeated CME eruption and …
Predicting Magnetopause Crossings At Geosynchronous Orbit During The Halloween Storms, R. E. Lopez, S. Hernandez, M. Wiltberger, Chia-Lin L. Huang, E. L. Kepko, Harlan E. Spence, C. C. Goodrich, J. G. Lyon
Predicting Magnetopause Crossings At Geosynchronous Orbit During The Halloween Storms, R. E. Lopez, S. Hernandez, M. Wiltberger, Chia-Lin L. Huang, E. L. Kepko, Harlan E. Spence, C. C. Goodrich, J. G. Lyon
Physics & Astronomy
[1] In late October and early November of 2003, the Sun unleashed a powerful series of events known as the Halloween storms. The coronal mass ejections launched by the Sun produced several severe compressions of the magnetosphere that moved the magnetopause inside of geosynchronous orbit. Such events are of interest to satellite operators, and the ability to predict magnetopause crossings along a given orbit is an important space weather capability. In this paper we compare geosynchronous observations of magnetopause crossings during the Halloween storms to crossings determined from the Lyon-Fedder-Mobarry global magnetohydrodynamic simulation of the magnetosphere as well to predictions …