paper
2021
Extremes & hazards
Observations & remote sensing New model or method
Classical ML (trees, GP, linear, kernels) Journal
2021-10-07
016
Oct 2021
Timothy L. Olander, Anthony Wimmers, Christopher S. Velden et al.
Weather and Forecasting
Simple machine learning models refine satellite-based advanced Dvorak technique features, cutting global tropical cyclone wind RMSE by 23–30% over 2017–2018 test years.
Investigation of Machine Learning Using Satellite-Based Advanced Dvorak Technique Analysis Parameters to Estimate Tropical Cyclone Intensity
In one sentence. Simple machine learning models refine satellite-based advanced Dvorak technique features, cutting global tropical cyclone wind RMSE by 23–30% over 2017–2018 test years.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1175/waf-d-20-0234.1 OpenAlex:W3202987464
- Added
- 2026-10-22
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