Lei submitted a paper to IEEE TGRS today. The paper applies the convolutional long short-term memory (convLSTM)-based machine learning (ML) models to forecast global ionospheric total electron content (TEC) maps with up to 24 hours of lead time at a 1-hour interval.
Full manuscript can be accessed by request at lei.liu@colorado.edu