paper
2019
Observations & remote sensing
Climate analysis & attribution New model or method
Other Journal
2019-12-05
016
Dec 2019
Leif Denby
Geophysical Research Letters
An unsupervised neural network finds hierarchical trade-wind cloud organization regimes in 10,000 GOES-16 images, linking regimes to radiative properties for climate model evaluation.
Discovering the Importance of Mesoscale Cloud Organization Through Unsupervised Classification
In one sentence. An unsupervised neural network finds hierarchical trade-wind cloud organization regimes in 10,000 GOES-16 images, linking regimes to radiative properties for climate model evaluation.
Labels
- Topic
- Observations & remote sensing, Climate analysis & attribution
- Type
- New model or method
- Method
- Other
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1029/2019gl085190 OpenAlex:W2991909169
- Added
- 2026-10-22
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