paper
2025
Sub-seasonal to seasonal
Climate analysis & attribution New model or method
2 weeks–2 monthsFudan University (FuXi) Journal
2025-05-14
051
May 2025
Bin Mu, Yuxuan Chen, Shijin Yuan et al.
Advances in Atmospheric Sciences
Fudan University (FuXi)
Deep learning model for East Asian atmospheric circulation at S2S timescales that explicitly includes multi-sphere (ocean and land) coupling to improve forecast skill.
EAAC-S2S: East Asian Atmospheric Circulation S2S Forecasting with a Deep Learning Model Considering Multi-Sphere Coupling
In one sentence. Deep learning model for East Asian atmospheric circulation at S2S timescales that explicitly includes multi-sphere (ocean and land) coupling to improve forecast skill.
Labels
- Topic
- Sub-seasonal to seasonal, Climate analysis & attribution
- Type
- New model or method
- Time scale
- 2 weeks–2 months
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1007/s00376-024-4223-6 OpenAlex:W4410331164
- Added
- 2026-10-22
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