Investigation of the impact of token embeddings in Transformer-based models on short-term tropical cyclone track and intensity predictions

Tropical cyclones (TCs) are destructive meteorological phenomena, necessitating accurate predictions of TC track and intensity to reduce risks to human life. This study evaluates three Transformer-based models – vanilla Transformer (Transformer), inverted Transformer (iTransformer), and temporal-var...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Yuan-Jiang Zeng, Yi-Qing Ni, Zheng-Wei Chen, Guang-Zhi Zeng, Jia-Yao Wang, Pak-Wai Chan
Format: Artikel
Sprache:Englisch
Veröffentlicht: Taylor & Francis Group 2025-12-01
Schriftenreihe:Engineering Applications of Computational Fluid Mechanics
Schlagworte:
Online-Zugang:https://www.tandfonline.com/doi/10.1080/19942060.2025.2538180
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!