paper
2022
Climate analysis & attribution
New model or method
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Preprint
2022-01-01
008
Jan 2022
Stephen Po–Chedley
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Software applies ridge, PLS and neural-network regression, trained across leave-one-out CMIP model ensembles, to separate forced from unforced tropospheric warming using surface temperature maps.
Climate analysis & attribution
MSU Disentanglement Analysis Software
In one sentence. Software applies ridge, PLS and neural-network regression, trained across leave-one-out CMIP model ensembles, to separate forced from unforced tropospheric warming using surface temperature maps.
Labels
- Topic
- Climate analysis & attribution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Global
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.11578/dc.20221017.3 OpenAlex:W4391048248
- Added
- 2026-10-22
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