Chang-Zhi Zhai

Deep learning-based integration of multi-GNSS radio occultation using LSTM for global electron density modeling

A long short-term memory (LSTM)-based framework for global three-dimensional electron density (Ne) modeling, using long-term multi-GNSS radio occultation observations with solar and geomagnetic activity indices is developed, with LSTM yielding the lowest overall error.