Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign
文献类型:期刊论文
作者 | Sliwinska-Bronowicz, Justyna20; Kur, Tomasz19; Winska, Malgorzata18; Dobslaw, Henryk17; Nastula, Jolanta20; Partyka, Aleksander20; Belda, Santiago16; Bizouard, Christian1; Boggs, Dale15; Bruni, Sara14 |
刊名 | JOURNAL OF GEODESY
![]() |
出版日期 | 2024-03-01 |
卷号 | 98期号:3页码:34 |
关键词 | Earth Orientation Parameters (EOP) Length-of-day (LOD) UT1-UTC Prediction |
ISSN号 | 0949-7714 |
DOI | 10.1007/s00190-024-01824-7 |
英文摘要 | Predicting Earth Orientation Parameters (EOP) is crucial for precise positioning and navigation both on the Earth's surface and in space. In recent years, many approaches have been developed to forecast EOP, incorporating observed EOP as well as information on the effective angular momentum (EAM) derived from numerical models of the atmosphere, oceans, and land-surface dynamics. The Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) aimed to comprehensively evaluate EOP forecasts from many international participants and identify the most promising prediction methodologies. This paper presents the validation results of predictions for universal time and length-of-day variations submitted during the 2nd EOP PCC, providing an assessment of their accuracy and reliability. We conduct a detailed evaluation of all valid forecasts using the IERS 14 C04 solution provided by the International Earth Rotation and Reference Systems Service (IERS) as a reference and mean absolute error as the quality measure. Our analysis demonstrates that approaches based on machine learning or the combination of least squares and autoregression, with the use of EAM information as an additional input, provide the highest prediction accuracy for both investigated parameters. Utilizing precise EAM data and forecasts emerges as a pivotal factor in enhancing forecasting accuracy. Although several methods show some potential to outperform the IERS forecasts, the current standard predictions disseminated by IERS are highly reliable and can be fully recommended for operational purposes. |
WOS关键词 | SHORT-TERM PREDICTION ; LEAST-SQUARES ; COMBINATION ; FILTER ; GPS ; SLR |
资助项目 | Narodowe Centrum Nauki |
WOS研究方向 | Geochemistry & Geophysics ; Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:001190564900001 |
出版者 | SPRINGER |
资助机构 | Narodowe Centrum Nauki ; Narodowe Centrum Nauki ; Narodowe Centrum Nauki ; Narodowe Centrum Nauki ; Narodowe Centrum Nauki ; Narodowe Centrum Nauki ; Narodowe Centrum Nauki ; Narodowe Centrum Nauki |
源URL | [http://210.72.145.45/handle/361003/14741] ![]() |
专题 | 国家授时中心_高精度时间传递与精密测定轨研究室 |
通讯作者 | Sliwinska-Bronowicz, Justyna |
作者单位 | 1.Observ Paris, SYRTE, Paris, France 2.Chinese Acad Sci, Shanghai Astron Observ, CAS Key Lab Planetary Sci, Shanghai, Peoples R China 3.Chinese Acad Sci, Natl Time Serv Ctr, Xian, Peoples R China 4.Shandong Univ Technol, Zibo, Peoples R China 5.ESA, ESOC, Robert-Bosch-Str 5, Darmstadt, Germany 6.Tech Univ Berlin, Inst Geodesy & Geoinformat Sci, Berlin, Germany 7.Fed Agcy Cartog & Geodesy BKG, Frankfurt, Germany 8.LSE Space GmbH ESA, ESOC, Robert-Bosch-Str 5, Darmstadt, Germany 9.Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Beijing, Peoples R China 10.AGH Univ Krakow, Adama Mickiewicza 30, PL-30059 Krakow, Poland |
推荐引用方式 GB/T 7714 | Sliwinska-Bronowicz, Justyna,Kur, Tomasz,Winska, Malgorzata,et al. Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign[J]. JOURNAL OF GEODESY,2024,98(3):34. |
APA | Sliwinska-Bronowicz, Justyna.,Kur, Tomasz.,Winska, Malgorzata.,Dobslaw, Henryk.,Nastula, Jolanta.,...&Zhou, Zhijin.(2024).Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign.JOURNAL OF GEODESY,98(3),34. |
MLA | Sliwinska-Bronowicz, Justyna,et al."Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign".JOURNAL OF GEODESY 98.3(2024):34. |
入库方式: OAI收割
来源:国家授时中心
浏览0
下载0
收藏0
其他版本
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。