Machine‐Learning (ML)‐Physics Fusion Model Accelerates the Paradigm Shift in Typhoon Forecasting With a CNOP‐Based Assimilation Framework

In this study, we develop an advanced hybrid forecasting system for short‐term (0–120 hr) typhoon predictions, seamlessly integrating the FuXi machine‐learning model with the physics‐based Shanghai Typhoon Model (SHTM). By employing spectral nudging, the hybrid FuXi‐SHTM model leverages FuXi's...

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Bibliographic Details

Published in:	Geophysical research letters Vol. 52; no. 15
Main Authors:	Niu, Zeyi, Wang, Dongliang, Mu, Mu, Huang, Wei, Fan, Xuliang, Yang, Mengqi, Qin, Bo
Format:	Journal Article
Language:	English
Published:	Washington John Wiley & Sons, Inc 16.08.2025 Wiley
Subjects:	Assimilation CNOP Forecasting FuXi model Hurricanes Learning algorithms Machine learning Perturbation method Perturbation methods Physics Satellite observation Typhoon forecasting typhoon forecasts Typhoons
ISSN:	0094-8276, 1944-8007
Online Access:	Get full text
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