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A new method to improve the prediction of the celestial pole offsets
Knowledge of the Earth’s changing rotation is fundamental to positioning objects in space and on the planet. Nowadays, the Earth’s orientation in space is expressed by five Earth Orientation Parameters (EOP). Many applications in astronomy, geosciences, and space missions require accurate EOP predic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138696/ https://www.ncbi.nlm.nih.gov/pubmed/30218004 http://dx.doi.org/10.1038/s41598-018-32082-1 |
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author | Belda, Santiago Ferrándiz, José M. Heinkelmann, Robert Schuh, Harald |
author_facet | Belda, Santiago Ferrándiz, José M. Heinkelmann, Robert Schuh, Harald |
author_sort | Belda, Santiago |
collection | PubMed |
description | Knowledge of the Earth’s changing rotation is fundamental to positioning objects in space and on the planet. Nowadays, the Earth’s orientation in space is expressed by five Earth Orientation Parameters (EOP). Many applications in astronomy, geosciences, and space missions require accurate EOP predictions. Operational predictions are released daily by the Rapid Service/Prediction Centre of the International Earth Rotation and Reference Systems Service (IERS). The prediction procedures and performances differ for the three EOP classes: polar motion, rotation angle (UT1-UTC), and the two celestial pole offsets (CPO), dX and dY. The IERS Annual Report 2016 shows Rapid Service CPO predictions errors with respect to IERS 08 C04 observations in 2016 ranging from 120 to 140 μas in 40 days for dX, and 100–160 μas for dY. We test a new method for the CPO prediction based on the recent availability of sophisticated empirical models for the Free Core Nutation, a main component of the CPO variations. We found it allows predicting both CPO with error estimates for the period 2000–2016 lower than the 2016 Rapid Service products, reaching about 85 μas after 40 days and near 90 μas after a year. These results would represent a 35–40% improvement. |
format | Online Article Text |
id | pubmed-6138696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61386962018-09-15 A new method to improve the prediction of the celestial pole offsets Belda, Santiago Ferrándiz, José M. Heinkelmann, Robert Schuh, Harald Sci Rep Article Knowledge of the Earth’s changing rotation is fundamental to positioning objects in space and on the planet. Nowadays, the Earth’s orientation in space is expressed by five Earth Orientation Parameters (EOP). Many applications in astronomy, geosciences, and space missions require accurate EOP predictions. Operational predictions are released daily by the Rapid Service/Prediction Centre of the International Earth Rotation and Reference Systems Service (IERS). The prediction procedures and performances differ for the three EOP classes: polar motion, rotation angle (UT1-UTC), and the two celestial pole offsets (CPO), dX and dY. The IERS Annual Report 2016 shows Rapid Service CPO predictions errors with respect to IERS 08 C04 observations in 2016 ranging from 120 to 140 μas in 40 days for dX, and 100–160 μas for dY. We test a new method for the CPO prediction based on the recent availability of sophisticated empirical models for the Free Core Nutation, a main component of the CPO variations. We found it allows predicting both CPO with error estimates for the period 2000–2016 lower than the 2016 Rapid Service products, reaching about 85 μas after 40 days and near 90 μas after a year. These results would represent a 35–40% improvement. Nature Publishing Group UK 2018-09-14 /pmc/articles/PMC6138696/ /pubmed/30218004 http://dx.doi.org/10.1038/s41598-018-32082-1 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Belda, Santiago Ferrándiz, José M. Heinkelmann, Robert Schuh, Harald A new method to improve the prediction of the celestial pole offsets |
title | A new method to improve the prediction of the celestial pole offsets |
title_full | A new method to improve the prediction of the celestial pole offsets |
title_fullStr | A new method to improve the prediction of the celestial pole offsets |
title_full_unstemmed | A new method to improve the prediction of the celestial pole offsets |
title_short | A new method to improve the prediction of the celestial pole offsets |
title_sort | new method to improve the prediction of the celestial pole offsets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138696/ https://www.ncbi.nlm.nih.gov/pubmed/30218004 http://dx.doi.org/10.1038/s41598-018-32082-1 |
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