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Short-term prediction methods and realization of Earth rotation parameters
|Authors:||Yan Feng; Yao Yibin|
|Author Affiliations:||Primary: |
Wuhan University, School of Geodesy and Geomatics, Wuhan, China
|Volume Title:||Dadi Celiang yu Diqiu Dongli Xue Journal of Geodesy and Geodynamics|
|Source:||Dadi Celiang yu Diqiu Dongli Xue = Journal of Geodesy and Geodynamics, 32(4), p.71-75. Publisher: Gai Kan Bianjibu, Wuhan, China. ISSN: 1671-5942|
|Note:||In Chinese with English summary. 9 refs.; illus., incl. 1 table|
|Summary:||According to the respective characteristics of polar motion and length of day, combining LS and AR model, a suitable prediction model for the Earth Rotation Parameter(ERP) was builded. In order to reduce the strong correlation, the difference before establishing AR model was down and ERP 1-10 days were predicted. The results show that the prediction accuracy has reached an international leading level.|
|Subjects:||Correlation coefficient; Earth; Geodesy; Prediction; Regression analysis; Rotation; Statistical analysis|
|Copyright Information:||GeoRef, Copyright 2021 American Geosciences Institute.|
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