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ENSO probability forecasting by diffusing multi-intelligent models
DOI:10.1016/j.ocemod.2026.102838.png)
Abstract
En 中文
• We propose a diffusion-based ensemble member generating method.
• Ensembles are generated by diffusing multi-Intelligent models predictions.
• Ensembles generate more efficiently and have better uncertainty representation.
• SSR and CRPS metrics are superior than others for ENSO probabilistic forecasting.
• RMSE is reduced by 12% and Niño3.4 correlation is higher than others.
Keywords:
ENSO probability forecasting
Diffusion model
Ensemble members generation
Intelligent model
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2.9
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