dscheepens/Deep-RNN-for-extreme-wind-speed-prediction
Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".
This project helps meteorologists and climate scientists predict extreme wind speed events. It takes historical wind speed data (U- and V-components) and outputs forecasts for future extreme wind conditions. Researchers studying climate patterns or developing weather models for specific regions would find this useful.
No commits in the last 6 months.
Use this if you need to forecast short-to-medium range extreme wind speed events using a deep learning model.
Not ideal if you need a pre-trained model for immediate use or are not comfortable with Python code and model training.
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16
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7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 10, 2025
Commits (30d)
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