{"total":14,"rows":[{"id":"2308.05732","title":"PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers","created":"2023-08-10","cited_by_count":216,"area":"diffusion"},{"id":"2306.01984","title":"DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting","created":"2023-06-03","cited_by_count":109,"area":"diffusion"},{"id":"2307.10422","title":"PreDiff: Precipitation Nowcasting with Latent Diffusion Models","created":"2023-07-19","cited_by_count":98,"area":"diffusion"},{"id":"2503.22600","title":"Generative Latent Neural PDE Solver using Flow Matching","created":"2025-03-28","cited_by_count":28,"area":"diffusion"},{"id":"2310.19822","title":"FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model","created":"2023-10-25","cited_by_count":22,"area":"diffusion"},{"id":"2302.00170","title":"Diffusion Models for High-Resolution Solar Forecasts","created":"2023-02-01","cited_by_count":17,"area":"diffusion"},{"id":"2404.06517","title":"DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations","created":"2024-04-04","cited_by_count":9,"area":"diffusion"},{"id":"2503.00951","title":"Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models","created":"2025-03-02","cited_by_count":9,"area":"diffusion"},{"id":"2407.21314","title":"State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics","created":"2024-07-31","cited_by_count":8,"area":"diffusion"},{"id":"2509.13523","title":"AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions","created":"2025-09-16","cited_by_count":8,"area":"diffusion"},{"id":"2506.09193","title":"LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting","created":"2025-06-10","cited_by_count":6,"area":"diffusion"},{"id":"2604.03303","title":"Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models","created":"2026-03-30","cited_by_count":2,"area":"diffusion"},{"id":"2510.16958","title":"Quantile Regression, Variational Autoencoders, and Diffusion Models for Uncertainty Quantification: A Spatial Analysis of Sub-seasonal Wind Speed Prediction","created":"2025-10-19","cited_by_count":0,"area":"diffusion"},{"id":"2602.11807","title":"PuYun-LDM: A Latent Diffusion Model for High-Resolution Ensemble Weather Forecasts","created":"2026-02-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}