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典型文献
A new polar motion prediction method combined with the difference between polar motion series
文献摘要:
After the first Earth Orientation Parameters Prediction Comparison Campaign(1st EOP PCC),the tradi-tional method using least-squares extrapolation and autoregressive(LS+AR)models was considered as one of the polar motion prediction methods with higher accuracy.The traditional method predicts in-dividual polar motion series separately,which has a single input data and limited improvement in prediction accuracy.To address this problem,this paper proposes a new method for predicting polar motion by combining the difference between polar motion series.The X,Y,and Y-X series were predicted separately using LS+AR models.Then,the new forecast value of X series is obtained by combining the forecast value of Y series with that of Y-X series;the new forecast value of Y series is obtained by combining the forecast value of X series with that of Y-X series.The hindcast experimental comparison results from January 1,2011 to April 4,2021 show that the new method achieves a maximum improvement of 12.95%and 14.96%over the traditional method in the X and Y directions,respectively.The new method has obvious advantages compared with the differential method.This study tests the stability and superiority of the new method and provides a new idea for the research of polar motion prediction.
文献关键词:
作者姓名:
Leyang Wang;Wei Miao;Fei Wu
作者机构:
Faculty of Geomatics,East China University of Technology,Nanchang 330013,China;Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake,Ministry of Natural Resources,Nanchang 330013,China
引用格式:
[1]Leyang Wang;Wei Miao;Fei Wu-.A new polar motion prediction method combined with the difference between polar motion series)[J].大地测量与地球动力学(英文版),2022(06):564-572
A类:
LS+AR
B类:
new,polar,motion,prediction,combined,difference,between,series,After,first,Earth,Orientation,Parameters,Prediction,Comparison,Campaign,1st,EOP,PCC,using,least,squares,extrapolation,autoregressive,models,was,considered,one,methods,higher,accuracy,traditional,predicts,dividual,separately,which,has,single,input,data,limited,improvement,To,address,this,problem,paper,proposes,predicting,by,combining,were,predicted,Then,forecast,value,obtained,that,hindcast,experimental,comparison,results,from,January,April,show,achieves,maximum,over,directions,respectively,obvious,advantages,compared,differential,This,study,tests,stability,superiority,provides,idea,research
AB值:
0.48566
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