paper
2019
Hybrid physics-ML & parameterization
Climate emulation New model or method
OtherUniversity of Washington Journal
2019-07-29
026
Jul 2019
Jeremy McGibbon, Christopher S. Bretherton
Geophysical Research Letters
University of Washington
A neural network trained prognostically on ERA5 emulates northeast Pacific boundary-layer tendencies in single-column runs over 7-day periods, outperforming the underlying forecast model in tracking reanalysis.
Hybrid physics-ML & parameterization
Single‐Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer
In one sentence. A neural network trained prognostically on ERA5 emulates northeast Pacific boundary-layer tendencies in single-column runs over 7-day periods, outperforming the underlying forecast model in tracking reanalysis.
Labels
- Topic
- Hybrid physics-ML & parameterization, Climate emulation
- Type
- New model or method
- Method
- Other
- Domain
- Regional
- Data
- ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1029/2019gl083646 OpenAlex:W2965752768
- Added
- 2026-10-22
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