摘要
利用IERS(International Earth Rotation and Reference Systems Service)发布的EOP 14 C04产品中1984~2022年LOD实测值进行频谱分析及周期项提取,并采用最小二乘外推模型联合多项式曲线拟合模型方法将提取到的周期项应用于对LOD序列的拟合。实验结果表明,相比于单一的LS外推模型拟合,新方法拟合序列的RMSE从0.0003 s下降至0.0001 s,且新方法将确定系数从0.80提高到0.97左右。该研究结果可为LOD序列的预报研究提供参考。
We use the measured LOD values of EOP 14 C04 from 1984 to 2022 released by the International Earth Rotation and Reference Systems Service(IERS)for spectrum analysis and period item extraction.We then use the method of least square extrapolation model combined with polynomial curve model to apply the extracted period term to the fitting of LOD sequence.The experimental results show that,compared with the single LS extrapolation model fitting,the RMSE of the fitting sequence decreases from 0.0003 seconds to 0.0001 seconds.The deterministic coefficient is increased from 0.8 to 0.97 by the new method.These results can provide reference for the prediction of LOD sequence.
作者
魏二虎
白小宇
李岩林
刘经南
WEI Erhu;BAI Xiaoyu;LI Yanlin;LIU Jingnan(School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China;School of Geography and Information Engineering,China University of Geosciences,388 Lumo Road,Wuhan 430079,China;GNSS Research Centre,Wuhan University,129 Luoyu Road,Wuhan 430079,China)
出处
《大地测量与地球动力学》
CSCD
北大核心
2023年第4期339-344,共6页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(41874036)
国家重点研发计划(2018YFC1503600)。
关键词
日长
频谱分析
周期提取
最小二乘外推模型
多项式曲线拟合模型
length of day(LOD)
spectrum analysis
periodic extraction
least square extrapolation model
polynomial curve fitting model
