Ryan McGranaghan

New Capabilities for Prediction of High‐Latitude Ionospheric Scintillation: A Novel Approach With Machine Learning

Ryan McGranaghan, A. J. Mannucci, Brian Wilson et al. · Space Weather · 2018 · 72 citations · Full text

Engineering, Machine Learning, Global Navigation Satellite System +17

Modes of high‐latitude auroral conductance variability derived from DMSP energetic electron precipitation observations: Empirical orthogonal function analysis

Ryan McGranaghan, D. J. Knipp, Tomoko Matsuo et al. · Journal of Geophysical Research Space Physics · 2015 · 58 citations · Full text

Geophysics, Meteorology, Pedersen Conductance Variability +15

A Comprehensive Analysis of Multiscale Field‐Aligned Currents: Characteristics, Controlling Parameters, and Relationships

Ryan McGranaghan, A. J. Mannucci, C. Forsyth · Journal of Geophysical Research Space Physics · 2017 · 47 citations · Full text

Device Modeling, Geophysics, Electrical Engineering +14

Self‐Consistent Modeling of Electron Precipitation and Responses in the Ionosphere: Application to Low‐Altitude Energization During Substorms

Yiqun Yu, V. K. Jordanova, Ryan McGranaghan et al. · Geophysical Research Letters · 2018 · 42 citations · Full text

Upper Atmosphere, Engineering, Recurrent Substorm Injections +18

Optimal interpolation analysis of high‐latitude ionospheric Hall and Pedersen conductivities: Application to assimilative ionospheric electrodynamics reconstruction

Ryan McGranaghan, D. J. Knipp, Tomoko Matsuo et al. · Journal of Geophysical Research Space Physics · 2016 · 41 citations · Full text

Numerical Analysis, Engineering, Optimal Interpolation Analysis +18