paper
2019
Climate analysis & attribution
Extremes & hazards Application study
Classical ML (trees, GP, linear, kernels) Other
2019-12-04
012
Dec 2019
Matthew K. Laffin, Charles Sutton Zender, Sameer Singh et al.
preprint
A machine-learning föhn detector trained on Antarctic weather stations finds föhn-driven melt strongest near Larsen C, with no significant increase over 1979-2018.
Climate analysis & attribution
40 Years of Föhn Winds on the Antarctic Peninsula: Impact on Surface Melt from 1979-2018
In one sentence. A machine-learning föhn detector trained on Antarctic weather stations finds föhn-driven melt strongest near Larsen C, with no significant increase over 1979-2018.
Labels
- Topic
- Climate analysis & attribution, Extremes & hazards
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Station / in-situ, ERA5 / reanalysis, Other
- Status
- Research
- Identifiers
- DOI:10.1002/essoar.10501254.1 OpenAlex:W2996002457
- Added
- 2026-10-22
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