paper
2026
Probabilistic & ensemble forecasting
Global medium-range NWPExplainability, uncertainty & physics New model or method
Physics-informed / physics-constrainedTransformer / ViT3–15 daysChina Meteorological Administration (CMA)Fudan University (FuXi)Institute of Atmospheric Physics, Chinese Academy of Sciences Journal
2026-03-27
055
Mar 2026
Bo Qin, G. Dai, M. Mu et al.
Quarterly Journal of the Royal Meteorological Society
China Meteorological Administration (CMA), Fudan University (FuXi), Institute of Atmospheric Physics, Chinese Academy of Sciences
Physics-informed VI-CNOP initial perturbations applied to FuXi produce typhoon track ensembles with better spread-skill relationships and reveal the role of subtropical high uncertainty.
Probabilistic & ensemble forecasting
Physics‐informed ensemble forecasts in data‐driven models
In one sentence. Physics-informed VI-CNOP initial perturbations applied to FuXi produce typhoon track ensembles with better spread-skill relationships and reveal the role of subtropical high uncertainty.
Labels
- Topic
- Probabilistic & ensemble forecasting, Global medium-range NWP, Explainability, uncertainty & physics
- Type
- New model or method
- Method
- Physics-informed / physics-constrained, Transformer / ViT
- Time scale
- 3–15 days
- Domain
- Regional
- Data
- ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1002/qj.70183 OpenAlex:W7141743775
- Added
- 2026-10-22
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