paper
2022
Applications & impacts
Extremes & hazards Application study
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2022-07-19
008
Jul 2022
Kwangmin Jung, Jonghun Kam, Seungjoon Lee
보험학회지
Random forest predicts typhoon economic losses for Korea by region, projecting 6.5–14.8 times higher losses by 2100 under IPCC scenarios.
Track Clustering of Tropical Cyclones and Regional Loss Prediction Model: The Impact of Climate Change Scenarios and Applications to Machine Learning
In one sentence. Random forest predicts typhoon economic losses for Korea by region, projecting 6.5–14.8 times higher losses by 2100 under IPCC scenarios.
Labels
- Topic
- Applications & impacts, Extremes & hazards
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Climate projections / centennial
- Domain
- Regional
- Data
- CMIP / climate model output, Other
- Status
- Research
- Identifiers
- DOI:10.17342/kij.2022.131.2 OpenAlex:W4285792762
- Added
- 2026-10-22
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