salvaRC/erdm
[NeurIPS 2025] Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
This project helps meteorologists and climate scientists generate highly accurate probabilistic weather forecasts. By inputting current and historical weather data, it outputs predictions that include the likelihood of various weather outcomes, offering a more complete picture than single-value forecasts. It's designed for professionals who need to understand the range of possibilities for future weather events.
Use this if you need advanced, probabilistic weather forecasts that quantify uncertainty and provide a full spectrum of potential future weather scenarios.
Not ideal if you only require simple, deterministic weather predictions without considering the probability distribution of outcomes.
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Jan 08, 2026
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