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A modified stochastic model for LS+AR hybrid method and its application in polar motion short-term prediction

Fei Ye Yunbin Yuan

大地测量与地球动力学（英文版）2024，Vol.15Issue(1)：100-105,6.

大地测量与地球动力学（英文版）2024，Vol.15Issue(1)：100-105,6.DOI:10.1016/j.geog.2023.05.005

A modified stochastic model for LS+AR hybrid method and its application in polar motion short-term prediction

Fei Ye ¹Yunbin Yuan²

作者信息

1. State Key Laboratory of Geodesy and Earth's Dynamics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430077,China||BeiDou High-precision Satellite Navigation and Location Service Hunan Engineering Research Center,Hunan Institute of Geomatics Sciences and Technology,Changsha 410007,China||Hunan Continuously Operating Reference Stations(HNCORS)Data Center,Hunan Institute of Geomatics Sciences and Technology,Changsha 410007,China
2. State Key Laboratory of Geodesy and Earth's Dynamics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430077,China
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摘要

关键词

Stochastic model/LS+AR/Short-term prediction/The earth rotation parameter(ERP)/Observation model

Key words

Stochastic model/LS+AR/Short-term prediction/The earth rotation parameter(ERP)/Observation model

引用本文复制引用

Fei Ye,Yunbin Yuan..A modified stochastic model for LS+AR hybrid method and its application in polar motion short-term prediction[J].大地测量与地球动力学（英文版）,2024,15(1):100-105,6.

基金项目

The authors would like to acknowledge the International Earth Rotation and Reference Systems Service(IERS)for providing the related products and support.This work was supported by National Natural Science Foundation of China,China(No.42004016),HuBei Natural Science Fund,China(No.2020CFB329),HuNan Natural Science Fund,China(No.2023JJ60559,2023JJ60560)and the State Key Laboratory of Geodesy and Earth's Dynamics self-deployment project,China(No.S21L6101). （IERS）

大地测量与地球动力学（英文版）

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ISSN：1674-9847

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