Hereon-KSN/cygnss-deployment
Web Interface for Wind Speed Prediction
This tool helps meteorologists and oceanographers predict global ocean wind speeds. It takes raw CYGNSS satellite data, processes it through a specialized neural network, and then displays the predicted wind speeds and their errors compared to ERA5 data on an easy-to-use web interface. The output is a visual representation of current wind conditions, making it valuable for maritime forecasting and climate research.
No commits in the last 6 months.
Use this if you need to regularly monitor and visualize global ocean wind speeds using satellite data, with predictions updated daily.
Not ideal if you require real-time, instantaneous wind speed predictions or need to access and modify the core prediction model itself.
Stars
20
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 17, 2023
Commits (30d)
0
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