paper
2023
Extremes & hazards
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels)Physics-informed / physics-constrainedChina Meteorological Administration (CMA) Journal
2023-10-31
022
Oct 2023
Jing Xu, Yuqing Wang, Chi Yang
Journal of the Atmospheric Sciences
China Meteorological Administration (CMA)
ML-derived ventilation parameters in a simple dynamical model show deep-layer vertical wind shear dominates tropical cyclone weakening across basins during 1982–2021.
Quantifying the Environmental Effects on Tropical Cyclone Intensity Change Using a Simple Dynamically Based Dynamical System Model
In one sentence. ML-derived ventilation parameters in a simple dynamical model show deep-layer vertical wind shear dominates tropical cyclone weakening across basins during 1982–2021.
Labels
- Topic
- Extremes & hazards, Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels), Physics-informed / physics-constrained
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1175/jas-d-23-0058.1 OpenAlex:W4388043931
- Added
- 2026-10-22
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