paper
2023
Hybrid physics-ML & parameterization
Climate emulation New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annualMet Office Journal
2023-10-01
051
Oct 2023
Steven C. Hardiman, Adam A. Scaife, Van Niekerk et al.
Artificial Intelligence for the Earth Systems
Met Office
Neural network emulates the Met Office nonorographic gravity wave scheme using only two of six inputs, and reproduces QBO and ENSO-linked gravity wave variability in a climate model.
Hybrid physics-ML & parameterization
Machine Learning for Nonorographic Gravity Waves in a Climate Model
In one sentence. Neural network emulates the Met Office nonorographic gravity wave scheme using only two of six inputs, and reproduces QBO and ENSO-linked gravity wave variability in a climate model.
Labels
- Topic
- Hybrid physics-ML & parameterization, Climate emulation
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Global
- Data
- Other, CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0081.1 OpenAlex:W4387343040
- Added
- 2026-10-22
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