paper
2022
Extremes & hazards
Post-processing & calibration New model or method
CNN / U-NetRNN / LSTM / ConvLSTM3–15 days Journal
2022-09-06
012
Sep 2022
Hung Ming Cheung, Chang-Hoi Ho, Minhee Chang
Artificial Intelligence for the Earth Systems
Hybrid CNN-RNN-MLP network post-processes GEFS western North Pacific tropical cyclone tracks at 2–6 day leads, reducing track error and correcting speed and direction bias.
Hybrid Neural Network Models for Postprocessing Medium-Range Forecasts of Tropical Cyclone Tracks over the Western North Pacific
In one sentence. Hybrid CNN-RNN-MLP network post-processes GEFS western North Pacific tropical cyclone tracks at 2–6 day leads, reducing track error and correcting speed and direction bias.
Labels
- Topic
- Extremes & hazards, Post-processing & calibration
- Type
- New model or method
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Time scale
- 3–15 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-21-0003.1 OpenAlex:W4294845118
- Added
- 2026-10-22
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