paper
2023
Observations & remote sensing
Extremes & hazardsClimate analysis & attribution Benchmark or dataset
CNN / U-Net Journal
2023-04-07
016
Apr 2023
Jing‐Yi Zhuo, Zhe‐Min Tan
Journal of Climate
Transfer-learned deep networks estimate western North Pacific tropical cyclone size from infrared imagery, producing a 1981–2017 DeepTCSize record with R of 0.76–0.85.
A Deep-Learning Reconstruction of Tropical Cyclone Size Metrics 1981–2017: Examining Trends
In one sentence. Transfer-learned deep networks estimate western North Pacific tropical cyclone size from infrared imagery, producing a 1981–2017 DeepTCSize record with R of 0.76–0.85.
Labels
- Topic
- Observations & remote sensing, Extremes & hazards, Climate analysis & attribution
- Type
- Benchmark or dataset
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Satellite, Other
- Status
- Research
- Identifiers
- DOI:10.1175/jcli-d-22-0714.1 OpenAlex:W4362698469
- Added
- 2026-10-22
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