paper
2018
Extremes & hazards
Post-processing & calibration New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days3–15 days Journal
2018-03-16
012
Mar 2018
Tirthankar Ghosh, T. N. Krishnamurti
Weather and Forecasting
Generalized regression neural network consensus of dynamical models improves Atlantic tropical storm intensity forecasts over 2012–16, outperforming individual models and the ensemble mean.
Improvements in Hurricane Intensity Forecasts from a Multimodel Superensemble Utilizing a Generalized Neural Network Technique
In one sentence. Generalized regression neural network consensus of dynamical models improves Atlantic tropical storm intensity forecasts over 2012–16, outperforming individual models and the ensemble mean.
Labels
- Topic
- Extremes & hazards, Post-processing & calibration
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days, 3–15 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/waf-d-17-0006.1 OpenAlex:W2790650423
- Added
- 2026-10-22
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