Papers

• Flow Matching for Convective-Scale Precipitation Downscaling (2026)
  Tom Wetherell
  1.89
• PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution (2026)
  Onkar Jadhav et al.
  1.83
• Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling (2026)
  Rui Wang et al.
  1.83
• Monthly Diffusion v0.9: A Latent Diffusion Model for the First AI-MIP (2026)
  Kyle J. C. Hall and Maria J. Molina
  1.78
• Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flows (2025)
  Anish Sambamurthy et al.
  1.56
• How to use score-based diffusion in earth system science: A satellite nowcasting example (2025)
  Randy J. Chase et al.
  1.17
• Data-driven Mesoscale Weather Forecasting Combining Swin-Unet and Diffusion Models (2025)
  Yuta Hirabayashi and Daisuke Matsuoka
  1.06
• DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations (2024)
  Jason Stock et al.
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• Generative Diffusion-based Downscaling for Climate (2024)
  Robbie A. Watt and Laura A. Mansfield
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• Towards diffusion models for large-scale sea-ice modelling (2024)
  Tobias Sebastian Finn et al.
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• Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models (2024)
  Zhangyue Ling et al.
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• Stochastic Flow Matching for Resolving Small-Scale Physics (2024)
  Stathi Fotiadis et al.
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• Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models (2024)
  Tianyi Li et al.
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