bruce-willis/weather4cast-2022
Team "team-name" solution for Weather4cast Challenge
This project offers a sophisticated method for predicting future rainfall patterns using satellite imagery. It takes a sequence of 11-band satellite images, captured over a one-hour period, and generates high-resolution predictions of rain or no-rain events for the next eight hours. This tool is designed for meteorological researchers and forecasters who need to predict localized precipitation using satellite data.
No commits in the last 6 months.
Use this if you need to predict high-resolution, short-term rain events across various European regions based on satellite measurements, especially if you are working with the Weather4cast Challenge dataset.
Not ideal if you require predictions for rain intensity or quantitative precipitation, as this model focuses on binary rain/no-rain classification.
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Jupyter Notebook
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Last pushed
Dec 08, 2022
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