paper
1998
Hybrid physics-ML & parameterization
New model or method
Classical ML (trees, GP, linear, kernels)ECMWF Journal
1998-11-01
065
Nov 1998
F. Chevallier, F. Chéruy, N. A. Scott et al.
Journal of Applied Meteorology
ECMWF
Early neural network approach computes longwave radiative budgets quickly and accurately for atmospheric models; abstract unavailable.
Hybrid physics-ML & parameterizationClassic
A Neural Network Approach for a Fast and Accurate Computation of a Longwave Radiative Budget
In one sentence. Early neural network approach computes longwave radiative budgets quickly and accurately for atmospheric models; abstract unavailable.
Labels
- Topic
- Hybrid physics-ML & parameterization
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1175/1520-0450(1998)037<1385:annafa>2.0.co;2 OpenAlex:W2176178328
- Added
- 2026-10-22
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