paper
2022
Climate analysis & attribution
Application study
Classical ML (trees, GP, linear, kernels)DecadalColumbia University (LEAP, Lamont-Doherty) Journal
2022-03-31
022
Mar 2022
Qinxue Gu, Melissa Gervais
Geophysical Research Letters
Columbia University (LEAP, Lamont-Doherty)
Applies time-evolving self-organizing maps to a CESM pre-industrial run, tracing a 10-year transition from positive NAO to AMV and weak negative NAO in North Atlantic SST.
Climate analysis & attribution
Diagnosing Two‐Way Coupling in Decadal North Atlantic SST Variability Using Time‐Evolving Self‐Organizing Maps
In one sentence. Applies time-evolving self-organizing maps to a CESM pre-industrial run, tracing a 10-year transition from positive NAO to AMV and weak negative NAO in North Atlantic SST.
Labels
- Topic
- Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Decadal
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1029/2021gl096560 OpenAlex:W4220996068
- Added
- 2026-10-22
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