paper
2022
Extremes & hazards
Applications & impacts New model or method
Classical ML (trees, GP, linear, kernels)Princeton University Journal
2022-10-28
018
Oct 2022
Joseph W. Lockwood
Journal of Geophysical Research Atmospheres
Princeton University
Software accompanying a study that uses neural networks to predict hurricane storm surge and assess its sensitivity to storm characteristics.
Software for "Using Neural Networks to Predict Hurricane Storm Surge and to Assess the Sensitivity of Surge to Storm Characteristics"
In one sentence. Software accompanying a study that uses neural networks to predict hurricane storm surge and assess its sensitivity to storm characteristics.
Abstract
Software for "Using Neural Networks to Predict Hurricane Storm Surge and to Assess the Sensitivity of Surge to Storm Characteristics"
Labels
- Topic
- Extremes & hazards, Applications & impacts
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.5281/zenodo.7261530 OpenAlex:W4307484986
- Added
- 2026-10-22
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