| enhancementofthepredictionaccuracyofpolecoordinateswithempiricalmodedecomposition |
| Zhao Danning; Lei Yu; Cai Hongbing
|
| 2018
|
发表期刊 | 天文研究与技术
|
ISSN | 1672-7673
|
卷号 | 15期号:2页码:140 |
摘要 | This paper is aimed at separation treatment of low- and high-frequency components in polar motion forecasting and then improving time-series predictions. For the purpose,the empirical mode decomposition(EMD)is employed as a filter to extract low- and high-frequency signals from original pole coordinate data. The decomposition of the pole motion observations between 1986 and 2015 from the International Earth Rotation and Reference Systems Service(IERS)C04 series illustrates that the low-frequency fluctuations including inter-decadal,inter-annual,Chandler and annual wobbles and shorter-period high-frequency oscillations can be separated from the observed timeseries by the EMD. On the basis of separation,the least-squares(LS)extrapolation of models for annual and Chandler wobbles and for the linear trend are used for deterministic prediction of the lowfrequency fluctuations,while the autoregressive(AR)technology is applied to forecasting the highfrequency oscillations plus LS fitting residuals. Pole coordinate forecasts are calculated as the sum of LS extrapolation and AR predictions(LS+AR). We have evaluated the accuracy of our long-term predictions(up to 1 year in the future)in comparison with the IERS official predictions in terms of year-by-year statistics of 5 years. It is shown that the accuracy of the LS + AR method can be significantly improved using a combination of the EMD and LS+AR(EMD+LS +AR). Also,the proposed prediction strategy overall outperforms the IERS solutions. In addition,the predictions are compared with those from the Earth Orientation Parameters Prediction Comparison Campaign(EOP PCC). The comparison demonstrates that the developed scheme is a very accurate approach to predict polar motion. According to this study,it is concluded that polar motion predictions may be enhanced through separation treatment of different time-scale fluctuations and thus such processing seems to be necessary in pole coordinate prediction. |
语种 | 英语
|
文献类型 | 期刊论文
|
条目标识符 | http://210.72.145.45/handle/361003/9793
|
专题 | 守时理论与方法研究室
|
作者单位 | 中国科学院国家授时中心
|
第一作者单位 | 中国科学院国家授时中心
|
推荐引用方式 GB/T 7714 |
Zhao Danning,Lei Yu,Cai Hongbing. enhancementofthepredictionaccuracyofpolecoordinateswithempiricalmodedecomposition[J]. 天文研究与技术,2018,15(2):140.
|
APA |
Zhao Danning,Lei Yu,&Cai Hongbing.(2018).enhancementofthepredictionaccuracyofpolecoordinateswithempiricalmodedecomposition.天文研究与技术,15(2),140.
|
MLA |
Zhao Danning,et al."enhancementofthepredictionaccuracyofpolecoordinateswithempiricalmodedecomposition".天文研究与技术 15.2(2018):140.
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论