paper
2025
Hybrid physics-ML & parameterization
New model or method
OtherFudan University (FuXi) Journal
2025-11-14
047
Nov 2025
Qinyu Fan, Guoxing Chen, Hongtao Yang et al.
Journal of Geophysical Research Atmospheres
Fudan University (FuXi)
Adding atmospheric stability to a neural cloud fraction scheme cuts RMSE by 6.7–15.5% for cloud types and improves stratocumulus simulation in the FGOALS-f3-L GCM.
Hybrid physics-ML & parameterization
An Improved Neural Network‐Based Scale‐Adaptive Cloud Fraction Scheme: Incorporation of Atmospheric Stability
In one sentence. Adding atmospheric stability to a neural cloud fraction scheme cuts RMSE by 6.7–15.5% for cloud types and improves stratocumulus simulation in the FGOALS-f3-L GCM.
Labels
- Topic
- Hybrid physics-ML & parameterization
- Type
- New model or method
- Method
- Other
- Domain
- Global
- Data
- Satellite, Other
- Status
- Research
- Identifiers
- DOI:10.1029/2025jd044619 OpenAlex:W4416209040
- Added
- 2026-10-22
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