Improving the Accuracy of Polar Motion Prediction by Combining Least Squares and the iTransformer Model

Abstract Polar motion prediction is an important means to study the dynamics of Earth's rotation and detect the internal structure of the Earth. This paper proposes an LS + iTransformer method that combines the least squares (LS) method with the iTransformer deep learning model. Using IERS EOP 20 C0...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Huizhong Zhu, Yi Yang, Chunhua Jiang, Wenfeng Nie, Zhenyu Luo, Zhangzhen Sun
Format:	Artigo
Jezik:	Inglês
Izdano:	American Geophysical Union (AGU) 2026-05-01
Serija:	Earth and Space Science
Teme:	polar motion iTransformer singular spectrum analysis (SSA)
Online dostop:	https://doi.org/10.1029/2025EA004962
Oznake:	Označite Brez oznak, prvi označite!