A Deep Ensemble Transformer Model for Global Ionosphere Prediction and Uncertainty Quantification

# Ionospheric TEC Forecasting with Transformer This repository contains code and scripts for transformer-based ionospheric TEC forecasting. ## Directory Structure config/ Inference configuration files. These files define inference parameters such as analysis center, input features, temporal settings, and data/model paths. data/ Input data used for inference, including TEC maps stored in NumPy (.npy) format. models/ Pre-trained model checkpoints used for inference. script/ Executable scripts. Includes shell scripts for running inference and utilities for converting IONEX files to NumPy format. src/ Source code. Contains the core Python implementation of models, data processing, and inference logic. test/ Test and debugging scripts.