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题名: EOP prediction using least square fitting and autoregressive filter over optimized data intervals
作者: Xu, XueQing1; Zhou, YongHong
刊名: ADVANCES IN SPACE RESEARCH
出版日期: 2015-11-15
卷号: 56, 期号:10, 页码:2248-2253
关键词: EOP prediction ; Least squares ; AR model ; Optimized data intervals
DOI: 10.1016/j.asr.2015.08.007
文章类型: Article
英文摘要: This study firstly employs the calculation of base sequence with different length, in 1-90 day predictions of EOP (the UT1-UTC and polar motion), by the combined method of least squares and autoregressive model, and find the base sequence with best result for different prediction spans, which we call as "predictions over optimized data intervals". Compared to the EOP predictions with fixed base data intervals, the "predictions over optimized data intervals" performs better for the prediction of UT1-UTC, and shows a significant improvement for the prediction of polar motion, and particularly promotes our competitive level in the international activity of Earth Orientation Parameters Combination of Prediction Pilot Project. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved.
WOS标题词: Science & Technology ; Physical Sciences
类目[WOS]: Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
研究领域[WOS]: Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
关键词[WOS]: EARTH ORIENTATION PARAMETERS ; ATMOSPHERIC ANGULAR-MOMENTUM ; UNIVERSAL TIME ; KALMAN-FILTER ; MODEL ; COMBINATION ; LENGTH
收录类别: SCI
项目资助者: National Natural Science Foundation of China (NSFC)(11303073 ; Chinese Academy of Sciences(XDB09000000) ; Science & Technology department of Shanghai(06DZ22101) ; 11373057 ; 11133004)
语种: 英语
WOS记录号: WOS:000364251900019
Citation statistics:
内容类型: 期刊论文
URI标识: http://libir.pmo.ac.cn/handle/332002/16067
Appears in Collections:近地天体探测和太阳系天体研究团组_期刊论文

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作者单位: 1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
2.Chinese Acad Sci, Key Lab Planetary Sci, Shanghai 200030, Peoples R China
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