paper
2020
Applications & impacts
Extremes & hazards Application study
Classical ML (trees, GP, linear, kernels)Climate projections / centennial Journal
2020-05-28
008
May 2020
Chi‐Ying Lin, Eun Jeong
Natural Hazards Review
Neural networks project future hurricane parameters under RCP8.5 for southeastern US coast, showing economic losses rising sharply under climate change.
Hurricane Risk Assessment for Residential Buildings in the Southeastern US Coastal Region in Changing Climate Conditions Using Artificial Neural Networks
In one sentence. Neural networks project future hurricane parameters under RCP8.5 for southeastern US coast, showing economic losses rising sharply under climate change.
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:10.1061/(asce)nh.1527-6996.0000390 OpenAlex:W3029718617
- Added
- 2026-10-22
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