paper
2022
Climate analysis & attribution
Extremes & hazards Application study
Decadal Journal
2022-11-22
008
Nov 2022
Li‐Huan Hsu, Yi‐chao Wu, Chou-Chun Chiang et al.
Asia-Pacific Journal of Atmospheric Sciences
Deep-learning weather typing analyses interdecadal and interannual variability of autumn extreme rainfall in Taiwan; abstract unavailable, scope inferred from title.
Climate analysis & attribution
Analysis of the Interdecadal and Interannual Variability of Autumn Extreme Rainfall in Taiwan Using a Deep-Learning-Based Weather Typing Approach
In one sentence. Deep-learning weather typing analyses interdecadal and interannual variability of autumn extreme rainfall in Taiwan; abstract unavailable, scope inferred from title.
Labels
- Topic
- Climate analysis & attribution, Extremes & hazards
- Type
- Application study
- Time scale
- Decadal
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1007/s13143-022-00303-3 OpenAlex:W4309879857
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.