Hurricane Wind Radius Prediction with LSTM and SHAP Analysis

Code and data for the manuscript "Estimating Tropical Cyclone Outer Wind Radii from Observations and Reanalysis Using an Interpretable Deep Learning Approach".

This release includes:

• LSTM-based deep learning framework for hurricane wind radius (R34) prediction
• SHAP interpretability analysis for feature importance evaluation
• Three feature group experiments: ERA5 variables, observation variables, and combined features
• Hyperparameter search with 5-fold cross-validation