paper
2020
Hybrid physics-ML & parameterization
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2020-09-22
012
Sep 2020
Léster Alfonso, José María Zamora
Atmospheric Research
Machine-learning replacement for the autoconversion cloud microphysics process in a two-moment scheme, offered as a faster parameterization for atmospheric models.
Hybrid physics-ML & parameterization
A two-moment machine learning parameterization of the autoconversion process
In one sentence. Machine-learning replacement for the autoconversion cloud microphysics process in a two-moment scheme, offered as a faster parameterization for atmospheric models.
Labels
- Topic
- Hybrid physics-ML & parameterization
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.atmosres.2020.105269 OpenAlex:W3087797646
- Added
- 2026-10-22
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