paper
2022
Post-processing & calibration
Extremes & hazards New model or method
Classical ML (trees, GP, linear, kernels) Journal
2022-01-01
008
Jan 2022
Yoshihiko Ide, Takumi KORA, Masaru YAMASHIRO et al.
Journal of Japan Society of Civil Engineers Ser B3 (Ocean Engineering)
A neural network corrects empirical typhoon model wind fields toward JMA mesoscale model output, enabling more realistic storm surge simulation for Typhoon 10 (2020).
STUDY ON CORRECTION METHOD OF WIND FIELD FOR EMPIRICAL TYPHOON MODEL USING NEURAL NETWORK
In one sentence. A neural network corrects empirical typhoon model wind fields toward JMA mesoscale model output, enabling more realistic storm surge simulation for Typhoon 10 (2020).
Labels
- Topic
- Post-processing & calibration, Extremes & hazards
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.2208/jscejoe.78.2_i_475 OpenAlex:W4312647315
- Added
- 2026-10-22
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