Forecasting Ionospheric foF2 Using Bidirectional LSTM and Attention Mechanism
Jun Tang,
Dengpan Yang,
Mingfei Ding
Abstract:The critical frequency of ionospheric F2 layer (foF2) is an important ionospheric characteristic parameter. In this paper, a deep learning model based on Bidirectional long short‐term memory (BiLSTM) and attention mechanism is implemented for predicting the foF2 parameter. The inputs of models are the foF2 of globally available ionospheric ionosonde stations, geographic longitude and latitude, world time (UT), geomagnetic activity index, and solar activity index from 2015 to 2017. The superiority of the model … Show more
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