paper
2023
Extremes & hazards
Hybrid physics-ML & parameterization New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2023-01-04
008
Jan 2023
Kyoung-Min Kim, Donghyuck Yoon, Dong‐Hyun Cha et al.
Asia-Pacific Journal of Atmospheric Sciences
Machine learning combined with WRF improves western North Pacific tropical cyclone track simulation; the abstract is unavailable, so the gain is unquantified.
Improved Tropical Cyclone Track Simulation over the Western North Pacific using the WRF Model and a Machine Learning Method
In one sentence. Machine learning combined with WRF improves western North Pacific tropical cyclone track simulation; the abstract is unavailable, so the gain is unquantified.
Labels
- Topic
- Extremes & hazards, Hybrid physics-ML & parameterization
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1007/s13143-022-00313-1 OpenAlex:W4313595131
- Added
- 2026-10-22
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