Cargando…
Impact of the terrestrial reference frame on the determination of the celestial reference frame
Currently three up-to-date Terrestrial Reference Frames (TRF) are available, the ITRF2014 from IGN, the DTRF2014 from DGFI-TUM, and JTRF2014 from JPL. All use the identical input data of space-geodetic station positions and Earth orientation parameters, but the concept of combining these data is fun...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613332/ https://www.ncbi.nlm.nih.gov/pubmed/36081598 http://dx.doi.org/10.1016/j.geog.2018.11.001 |
_version_ | 1783605468128608256 |
---|---|
author | Karbon, Maria Belda, Santiago Nilsson, Tobias |
author_facet | Karbon, Maria Belda, Santiago Nilsson, Tobias |
author_sort | Karbon, Maria |
collection | PubMed |
description | Currently three up-to-date Terrestrial Reference Frames (TRF) are available, the ITRF2014 from IGN, the DTRF2014 from DGFI-TUM, and JTRF2014 from JPL. All use the identical input data of space-geodetic station positions and Earth orientation parameters, but the concept of combining these data is fundamentally different. The IGN approach is based on the combination of technique solutions, while the DGFI is combining the normal equation systems. Both yield in reference epoch coordinates and velocities for a global set of stations. JPL uses a Kalman filter approach, realizing a TRF through weekly time series of geocentric coordinates. As the determination of the CRF is not independent of the TRF and vice versa, the choice of the TRF might impact on the CRF. Within this work we assess this effect. We find that the estimated Earth orientation parameter (EOP) from DTRF2014 agree best with those from ITRF2014, the EOP resulting from JTRF2014 show besides clear yearly signals also some artifacts linked to certain stations. The estimated source position time series however, agree with each other better than ±1 μas. When fixing EOP and station positions we can see the maximal effect of the TRF on the CRF. Here large systematics in position as well as proper motion arise. In case of ITRF2008 they can be linked to the missing data after 2008. By allowing the EOP and stations to participate in the adjustment, the agreement increases, however, systematics remain. |
format | Online Article Text |
id | pubmed-7613332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-76133322022-09-07 Impact of the terrestrial reference frame on the determination of the celestial reference frame Karbon, Maria Belda, Santiago Nilsson, Tobias Geod Geodyn Article Currently three up-to-date Terrestrial Reference Frames (TRF) are available, the ITRF2014 from IGN, the DTRF2014 from DGFI-TUM, and JTRF2014 from JPL. All use the identical input data of space-geodetic station positions and Earth orientation parameters, but the concept of combining these data is fundamentally different. The IGN approach is based on the combination of technique solutions, while the DGFI is combining the normal equation systems. Both yield in reference epoch coordinates and velocities for a global set of stations. JPL uses a Kalman filter approach, realizing a TRF through weekly time series of geocentric coordinates. As the determination of the CRF is not independent of the TRF and vice versa, the choice of the TRF might impact on the CRF. Within this work we assess this effect. We find that the estimated Earth orientation parameter (EOP) from DTRF2014 agree best with those from ITRF2014, the EOP resulting from JTRF2014 show besides clear yearly signals also some artifacts linked to certain stations. The estimated source position time series however, agree with each other better than ±1 μas. When fixing EOP and station positions we can see the maximal effect of the TRF on the CRF. Here large systematics in position as well as proper motion arise. In case of ITRF2008 they can be linked to the missing data after 2008. By allowing the EOP and stations to participate in the adjustment, the agreement increases, however, systematics remain. 2019-01 /pmc/articles/PMC7613332/ /pubmed/36081598 http://dx.doi.org/10.1016/j.geog.2018.11.001 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Karbon, Maria Belda, Santiago Nilsson, Tobias Impact of the terrestrial reference frame on the determination of the celestial reference frame |
title | Impact of the terrestrial reference frame on the determination of the celestial reference frame |
title_full | Impact of the terrestrial reference frame on the determination of the celestial reference frame |
title_fullStr | Impact of the terrestrial reference frame on the determination of the celestial reference frame |
title_full_unstemmed | Impact of the terrestrial reference frame on the determination of the celestial reference frame |
title_short | Impact of the terrestrial reference frame on the determination of the celestial reference frame |
title_sort | impact of the terrestrial reference frame on the determination of the celestial reference frame |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613332/ https://www.ncbi.nlm.nih.gov/pubmed/36081598 http://dx.doi.org/10.1016/j.geog.2018.11.001 |
work_keys_str_mv | AT karbonmaria impactoftheterrestrialreferenceframeonthedeterminationofthecelestialreferenceframe AT beldasantiago impactoftheterrestrialreferenceframeonthedeterminationofthecelestialreferenceframe AT nilssontobias impactoftheterrestrialreferenceframeonthedeterminationofthecelestialreferenceframe |