paper
2022
Hybrid physics-ML & parameterization
New model or method
OtherClimate projections / centennialMétéo-France (incl. CNRM) Journal
2022-04-12
055
Apr 2022
Blanka Balogh, David Saint‐Martin, Aurélien Ribes
Geophysical Research Letters
Météo-France (incl. CNRM)
Proposes ML parameterizations with parameters as inputs, calibrated online against long-term statistics, which significantly reduces long-term biases in two simple dynamical systems.
Hybrid physics-ML & parameterization
How to Calibrate a Dynamical System With Neural Network Based Physics?
In one sentence. Proposes ML parameterizations with parameters as inputs, calibrated online against long-term statistics, which significantly reduces long-term biases in two simple dynamical systems.
Labels
- Topic
- Hybrid physics-ML & parameterization
- Type
- New model or method
- Method
- Other
- Time scale
- Climate projections / centennial
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1029/2022gl097872 OpenAlex:W4223520325
- Added
- 2026-10-22
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