paper
2024
Hybrid physics-ML & parameterization
Software, scaling & compression New model or method
OtherFudan University (FuXi) Journal
2024-02-01
051
Feb 2024
Bin Mu, Zi-Jun Zhao, Shi-Jin Yuan et al.
Atmospheric Research
Fudan University (FuXi)
Framework uses incremental learning to replace sub-modules of an Earth system model with AI components without retraining from scratch.
Hybrid physics-ML & parameterization
Developing intelligent Earth System Models: An AI framework for replacing sub-modules based on incremental learning and its application
In one sentence. Framework uses incremental learning to replace sub-modules of an Earth system model with AI components without retraining from scratch.
Labels
- Topic
- Hybrid physics-ML & parameterization, Software, scaling & compression
- Type
- New model or method
- Method
- Other
- Domain
- Global
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1016/j.atmosres.2024.107306 OpenAlex:W4392112243
- Added
- 2026-10-22
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