47 citations · 48 across the 5 of their papers we have counts for
Showing physics.space-phShow all
2 papers · 1 filter
physics.space-ph2025★ 1 cited
Forecasting Local Ionospheric Parameters Using Transformers
Daniel J. Alford-Lago, Christopher W. Curtis, Alexander T. Ihler +2
We present a novel method for forecasting key ionospheric parameters using transformer-based neural networks. The model provides accurate forecasts and uncertainty quantification o…
physics.space-ph2022
Scale-Separated Dynamic Mode Decomposition and Ionospheric Forecasting
Daniel J. Alford-Lago, Christopher W. Curtis, Alexander T. Ihler +1
We present a method for forecasting the foF2 and hmF2 parameters using modal decompositions of ionospheric electron density profile time series. Our method is based on the Dynamic…