大地测量与地球动力学2013，Vol.33Issue(4)：69-72,87,5.
基于LS+AR模型的LOD预报及其周期项影响分析
PREDICTION OF LENGTH OF DAY BASED ON LS + AR MODEL AND ACCURACY ANALYSIS OF DIFFERENT CYCLE TERM
摘要
Abstract
After reviewing the prediction of LOD based on the LS + AR model,the influence of different cycle term on prediction accuracy is analyzed by using different combination of the main cycle terms.The results show that long-term cycles of 18.6-year and 9.3-year,the short-term cycle of one-third year have great impact on LOD prediction accuracy.Therefore,it is recommended that the above three cycle terms should be taken into account in high-accuracy LOD prediction except for annual and semi-annual cycle terms.关键词
日长变化/预报/周期/最小二乘/AR模型Key words
length of day / prediction / cycle term / least squares / AR model分类
天文与地球科学引用本文复制引用
孙张振,徐天河..基于LS+AR模型的LOD预报及其周期项影响分析[J].大地测量与地球动力学,2013,33(4):69-72,87,5.基金项目
国家自然科学基金(41174008) （41174008）
全国优秀博士学位论文专项(2007B51) （2007B51）
