paper
2020
Sub-seasonal to seasonal
Climate analysis & attribution New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annualUniversity of Chicago Journal
2020-10-19
022
Oct 2020
Abby Stevens, Rebecca M. Willett, Antonios Mamalakis et al.
Journal of Climate
University of Chicago
Graph-guided regularized regression on Pacific sea surface temperatures improves seasonal winter precipitation prediction in the southwestern US over benchmark regularizers and teleconnection models.
Graph-Guided Regularized Regression of Pacific Ocean Climate Variables to Increase Predictive Skill of Southwestern U.S. Winter Precipitation
In one sentence. Graph-guided regularized regression on Pacific sea surface temperatures improves seasonal winter precipitation prediction in the southwestern US over benchmark regularizers and teleconnection models.
Labels
- Topic
- Sub-seasonal to seasonal, Climate analysis & attribution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1175/jcli-d-20-0079.1 OpenAlex:W3108142464
- Added
- 2026-10-22
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