ML4WX

Extremes & hazards

Evaluating the Shanghai Typhoon Model against State-of-the-Art Machine-Learning Weather Prediction Models: A Case Study for Typhoon Danas (2025)

Ze-Yi Niu, Wei Huang, Yu-Hua Yang, Mengqi Yang, L. Deng, Hai-Bo Wang, Hong Li, Xu Zhang

Advances in Atmospheric Sciences · · China Meteorological Administration (CMA), Fudan University (FuXi)

Paper

In one sentence. Compares the Shanghai Typhoon Model with leading ML weather models on Typhoon Danas, assessing relative track and intensity skill for a single case.

Labels

Topic
Extremes & hazards, Global medium-range NWP
Type
Evaluation or intercomparison of existing models
Time scale
3–15 days
Domain
Regional
Data
ERA5 / reanalysis, NWP analysis or forecasts (IFS, GFS, ...)
Status
Research
Identifiers
DOI:10.1007/s00376-025-5464-8 OpenAlex:W4414297327
Added
2026-10-22

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