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W. Jeffrey Hughes

Researcher at Boston University

Publications -  32
Citations -  1717

W. Jeffrey Hughes is an academic researcher from Boston University. The author has contributed to research in topics: Substorm & Earth's magnetic field. The author has an hindex of 21, co-authored 32 publications receiving 1628 citations.

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On the threshold for triggering substorms

TL;DR: In this article, a new interpretation for the annual and diurnal variations of the level of geomagnetic activity, that are independent of the polarity of the IMF but are due to the BT effect, is presented.
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Modeling radiation belt radial diffusion in ULF wave fields: 1. Quantifying ULF wave power at geosynchronous orbit in observations and in global MHD model

TL;DR: In this paper, the authors used the Lyon-Fedder-Mobarry magnetohydrodynamic (LFM) code to quantify the wave power of the ULF wave in the radiation belt.
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Pi 2 pulsations and the substorm current wedge: Low‐latitude polarization

TL;DR: In this article, the authors compared the mid-latitude observations of substorm-related Pi 2 waves to those at lower latitudes and found that the difference between the two locations can be partially explained by the additional observation of positive H component bays at the low-latitudes stations, which suggests that the ground-based signature of the current wedge increases in longitudinal extent with decreasing latitude.
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Dynamical effects of geomagnetic storms and substorms in the middle‐latitude ionosphere: An observational campaign

TL;DR: In this paper, the penetration of magnetospheric electric field and the following interplays between ionospheric electrodynamics and thermospheric wind perturbations in the midlatitude ionosphere are assessed using multidisagnostic measurements.
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Underestimates of magnetic flux in coupled MHD model solar wind solutions

TL;DR: In this article, the authors quantified the missing flux problem for models used in the coordinated Center for Integrated Space Weather Modeling study of corotating interaction regions, and identified the model parameters most strongly related to the effect.