Research on UT1-UTC and LOD Prediction Algorithm Based on Denoised EAM Dataset

Research on UT1-UTC and LOD Prediction Algorithm Based on Denoised EAM Dataset

The components of EAM are strongly correlated with LOD and play an important role in UT1-UTC and LOD prediction. However, the EAM dataset is prone to be noisy. In this study, we propose a hybrid method to reduce the noise of the EAM data and improve the accuracy of UT1-UTC and LOD predictions. We us...

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Bibliographic Details
Main Authors: Xishun Li, Yuanwei Wu, Dang Yao, Jia Liu, Kai Nan, Langming Ma, Xuan Cheng, Xuhai Yang, Shougang Zhang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
UT1-UTC
LOD
EAM
GAM
LS
AR
Online Access:https://www.mdpi.com/2072-4292/15/19/4654

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