GMfatcat/ConvLSTM-CNN-for-tropical-cyclone
Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity
This project helps meteorologists and disaster preparedness teams predict tropical cyclone characteristics. By inputting satellite imagery time-series data, it generates predictions for future wind speed and classifies the cyclone's intensity. This tool is designed for professionals focused on weather forecasting and climate analysis.
No commits in the last 6 months.
Use this if you need to forecast tropical cyclone wind speeds or classify their intensity using satellite image sequences.
Not ideal if you don't have access to a GPU, as it is a critical requirement for running the models.
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38
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7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 21, 2022
Commits (30d)
0
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