MW-Nowcast: Six-hour ensemble nowcasting of extreme precipitation
physics.ao-ph, cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Comments: 62 pages, 31 figures, 4 tables; includes Extended Data Figures and Supplementary Information
Code: https://github.com/microsoft/MW-Nowcast
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
- Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
- PreDiff: Precipitation Nowcasting with Latent Diffusion Models
- Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification
- FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching
- StormDiT: A generative AI model bridges the 2-6 hour 'gray zone' in precipitation nowcasting
- CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
- DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
Related papers
- NORi: An ML-Augmented Ocean Boundary Layer Parameterization
- A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling
- On the Predictive Skill of Artificial Intelligence-based Weather Models for Extreme Events using Uncertainty Quantification
- A Mechanism-Coupled Split Window Network for Medium- to High-Resolution Land Surface Temperature Retrieval
- Composable multi-satellite precipitation estimation for evolving observing systems
- Towards accurate extreme event likelihoods from diffusion model climate emulators