paper
2006
Hybrid physics-ML & parameterization
Global medium-range NWP Position or perspective paper
Classical ML (trees, GP, linear, kernels)NOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2006-03-01
061
Mar 2006
Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz
Neural Networks
NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Discusses hybrid models combining deterministic physics and machine learning components for climate modeling and weather prediction; abstract unavailable.
Hybrid physics-ML & parameterizationClassic
Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction
In one sentence. Discusses hybrid models combining deterministic physics and machine learning components for climate modeling and weather prediction; abstract unavailable.
Labels
- Topic
- Hybrid physics-ML & parameterization, Global medium-range NWP
- Type
- Position or perspective paper
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.neunet.2006.01.002 OpenAlex:W2083307976
- Added
- 2026-10-22
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