paper
2021
Extremes & hazards
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels)Seasonal to annualNanjing University of Information Science & Technology (NUIST) Journal
2021-11-17
018
Nov 2021
Md Wahiduzzaman, Jing‐Jia Luo
Natural Hazards
Nanjing University of Information Science & Technology (NUIST)
Generalised additive and machine learning models link North Indian Ocean tropical cyclone activity to boreal summer intraseasonal oscillation; no abstract was available, so this rests on the title.
Modeling of tropical cyclone activity over the North Indian Ocean using generalised additive model and machine learning techniques: role of Boreal summer intraseasonal oscillation
In one sentence. Generalised additive and machine learning models link North Indian Ocean tropical cyclone activity to boreal summer intraseasonal oscillation; no abstract was available, so this rests on the title.
Labels
- Topic
- Extremes & hazards, Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1007/s11069-021-05116-7 OpenAlex:W3213586462
- Added
- 2026-10-22
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