paper
2023
Hybrid physics-ML & parameterization
Climate emulation Position or perspective paper
California Institute of Technology (Caltech)Massachusetts Institute of Technology (MIT)NSF NCAR / UCARPrinceton University Journal
2023-09-05
071
Sep 2023
Tapio Schneider, Swadhin Behera, Giulio Boccaletti et al.
Nature Climate Change
California Institute of Technology (Caltech), Massachusetts Institute of Technology (MIT), NSF NCAR / UCAR, Princeton University
Nature Climate Change perspective on combining AI and computing for climate modelling and prediction; abstract absent, judged from title and venue.
Hybrid physics-ML & parameterization
Harnessing AI and computing to advance climate modelling and prediction
In one sentence. Nature Climate Change perspective on combining AI and computing for climate modelling and prediction; abstract absent, judged from title and venue.
Labels
- Topic
- Hybrid physics-ML & parameterization, Climate emulation
- Type
- Position or perspective paper
- Domain
- Global
- Status
- Research
- Identifiers
- DOI:10.1038/s41558-023-01769-3 OpenAlex:W4386465713
- Added
- 2026-10-22
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