tonyzyl/ladcast
Latent Diffusion model for ensemble weather forecasting
LaDCast helps meteorologists and climate scientists generate highly detailed, long-range weather forecasts. It takes historical weather data, including atmospheric variables like temperature and wind, and produces ensemble forecasts showing potential future weather conditions and cyclone tracks. This tool is designed for professionals who need to predict weather patterns and extreme events with greater accuracy.
Use this if you need to create ensemble weather forecasts and track severe weather phenomena like typhoons over a 10-day period with high spatial resolution.
Not ideal if you require real-time, short-range local weather updates or are looking for a simple, consumer-facing weather application.
Stars
24
Forks
3
Language
Python
License
—
Category
Last pushed
Mar 04, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/tonyzyl/ladcast"
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