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Found 3 papers, 1 papers with code
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
WeatherBench 2 is an update to the global, medium-range (1-14 day) weather forecasting benchmark proposed by Rasp et al. (2020), designed with the aim to accelerate progress in data-driven weather modeling.
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models
The dominant approach to representing uncertainty in weather forecasting is to generate an ensemble of forecasts.
A Machine Learning Outlook: Post-processing of Global Medium-range Forecasts
Post-processing typically takes the outputs of a Numerical Weather Prediction (NWP) model and applies linear statistical techniques to produce improve localized forecasts, by including additional observations, or determining systematic errors at a finer scale.
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