Beyond the Backbone: A Quantitative Review of Deep-Learning Architectures for Tropical Cyclone Track Forecasting

Accurate forecasting of tropical cyclone (TC) tracks is critical for disaster preparedness and risk mitigation. While traditional numerical weather prediction (NWP) systems have long served as the backbone of operational forecasting, they face limitations in computational cost and sensitivity to ini...

ver descrição completa

Detalhes bibliográficos

Principais autores:	He Huang, Difei Deng, Liang Hu, Yawen Chen, Nan Sun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Remote Sensing
Assuntos:	tropical cyclone forecasting deep learning artificial intelligence track prediction tropical cyclone forecasting review
Acesso em linha:	https://www.mdpi.com/2072-4292/17/15/2675
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!