paper
2020
Climate analysis & attribution
Extremes & hazards Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)Climate projections / centennialColumbia University (LEAP, Lamont-Doherty)NSF NCAR / UCAR Journal
2020-09-03
051
Sep 2020
Sloan Coats, Jason E. Smerdon, Samantha L. Stevenson et al.
Journal of Climate
Columbia University (LEAP, Lamont-Doherty), NSF NCAR / UCAR
Machine learning identifies three-dimensional drought events in tree-ring reconstructions and CMIP simulations, suggesting models underestimate the range of future hydroclimate states.
Climate analysis & attribution
Paleoclimate Constraints on the Spatiotemporal Character of Past and Future Droughts
In one sentence. Machine learning identifies three-dimensional drought events in tree-ring reconstructions and CMIP simulations, suggesting models underestimate the range of future hydroclimate states.
Labels
- Topic
- Climate analysis & attribution, Extremes & hazards
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output, Other
- Status
- Research
- Identifiers
- DOI:10.1175/jcli-d-20-0004.1 OpenAlex:W3083573135
- Added
- 2026-10-22
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