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Status: Unchecked ×Keyword: heavy rainfall forecasting ×Clear all

1 claim from 1 paper

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   An online spectral nudging-based correction system: improving physical model forecasts by incorporating large-scale circulations derived from machine learning models

   Su, Wang, Shen et al. · Geoscientific model development · 2026

   The authors built a spectral nudging system that steers the CMA-GFS physical weather model towards FuXi machine-learning forecasts of large-scale circulation, and tested it in a proof-of-concept study.

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   1. UncheckedA hybrid forecast system combining FuXi's large-scale circulation with CMA-GFS physics kept both models' strengths for rainfall and tropical cyclones.“Verification against high-impact weather events, including heavy rainfall and tropical cyclones, demonstrates that the hybrid system integrates the strengths of the FuXi model in forecasting circulation patterns, precipitation distribution and tropical cyclone tracks, while preserving the advantage…”