paper
2022
Climate analysis & attribution
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2022-04-08
012
Apr 2022
Elizabeth A. Ramsey, Adam H. Monahan
Journal of the Atmospheric Sciences
Gaussian process regression fits an empirical stochastic model to stable boundary layer inversions at tower sites, revealing bifurcation-like dynamics similar to idealized models.
Climate analysis & attribution
Empirical Low-Dimensional Dynamics of Atmospheric Stable Boundary Layer Temperature Inversions
In one sentence. Gaussian process regression fits an empirical stochastic model to stable boundary layer inversions at tower sites, revealing bifurcation-like dynamics similar to idealized models.
Labels
- Topic
- Climate analysis & attribution
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1175/jas-d-21-0205.1 OpenAlex:W4228999044
- Added
- 2026-10-22
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