paper
2020
Climate analysis & attribution
New model or method
OtherClimate projections / centennialETH ZurichSwiss Data Science Center (SDSC) Journal
★ Highlight 2020-01-02
064
Jan 2020
Sebastian Sippel, Nicolai Meinshausen, Erich M. Fischer et al.
Nature Climate Change
ETH Zurich, Swiss Data Science Center (SDSC)
Machine-learning-based detection indicates the climate change signal is identifiable from a single day of global weather; abstract unavailable, so classification is tentative.
1
Climate analysis & attribution★ Highlight
Climate change now detectable from any single day of weather at global scale
Why it matters. ML detects the climate change signal in a single day of global weather; influential, widely cited detection and attribution result.
In one sentence. Machine-learning-based detection indicates the climate change signal is identifiable from a single day of global weather; abstract unavailable, so classification is tentative.
Labels
- Topic
- Climate analysis & attribution
- Type
- New model or method
- Method
- Other
- Time scale
- Climate projections / centennial
- Domain
- Global
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1038/s41558-019-0666-7 OpenAlex:W2998677958
- Added
- 2026-10-22
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