paper
2019
Hybrid physics-ML & parameterization
New model or method
Journal
2019-11-24
008
Nov 2019
Ashesh Chattopadhyay, Adam Subel, Pedram Hassanzadeh et al.
Bulletin of the American Physical Society
Proposes deep-learning data-driven super-parametrization of turbulent flow for weather and climate models; the abstract is unavailable, so details are limited.
Hybrid physics-ML & parameterization
Data-driven super-parametrization using deep learning for large scale turbulent flow in weather/climate modeling
In one sentence. Proposes deep-learning data-driven super-parametrization of turbulent flow for weather and climate models; the abstract is unavailable, so details are limited.
Labels
- Topic
- Hybrid physics-ML & parameterization
- Type
- New model or method
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- OpenAlex:W2997954543
- Added
- 2026-10-22
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