iarai/weather4cast
Code accompanying our IARAI Weather4cast Challenge
This project helps meteorologists, climate scientists, and weather prediction modelers predict short-term weather conditions. By analyzing satellite imagery showing temperature, rainfall, tropopause folding probability, and cloud cover, you can generate precise forecasts for these variables up to 8 hours ahead, in 15-minute intervals, across various geographical regions. The output is a series of predicted weather images ready for assessment.
No commits in the last 6 months.
Use this if you need to develop or benchmark models for short-range, high-resolution weather forecasting using multi-sensor satellite data.
Not ideal if you are looking for long-range climate projections or need to forecast weather variables not covered by cloud-top temperature, skin temperature, convective rainfall rate, tropopause folding probability, or cloud mask.
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Jupyter Notebook
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Last pushed
Mar 29, 2022
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