Cargando…
High Frequency Variations of Earth Rotation Parameters from GPS and GLONASS Observations
The Earth's rotation undergoes changes with the influence of geophysical factors, such as Earth's surface fluid mass redistribution of the atmosphere, ocean and hydrology. However, variations of Earth Rotation Parameters (ERP) are still not well understood, particularly the short-period va...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367342/ https://www.ncbi.nlm.nih.gov/pubmed/25635416 http://dx.doi.org/10.3390/s150202944 |
_version_ | 1782362518767796224 |
---|---|
author | Wei, Erhu Jin, Shuanggen Wan, Lihua Liu, Wenjie Yang, Yali Hu, Zhenghong |
author_facet | Wei, Erhu Jin, Shuanggen Wan, Lihua Liu, Wenjie Yang, Yali Hu, Zhenghong |
author_sort | Wei, Erhu |
collection | PubMed |
description | The Earth's rotation undergoes changes with the influence of geophysical factors, such as Earth's surface fluid mass redistribution of the atmosphere, ocean and hydrology. However, variations of Earth Rotation Parameters (ERP) are still not well understood, particularly the short-period variations (e.g., diurnal and semi-diurnal variations) and their causes. In this paper, the hourly time series of Earth Rotation Parameters are estimated using Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), and combining GPS and GLONASS data collected from nearly 80 sites from 1 November 2012 to 10 April 2014. These new observations with combining different satellite systems can help to decorrelate orbit biases and ERP, which improve estimation of ERP. The high frequency variations of ERP are analyzed using a de-trending method. The maximum of total diurnal and semidiurnal variations are within one milli-arcseconds (mas) in Polar Motion (PM) and 0.5 milli-seconds (ms) in UT1-UTC. The semidiurnal and diurnal variations are mainly related to the ocean tides. Furthermore, the impacts of satellite orbit and time interval used to determinate ERP on the amplitudes of tidal terms are analyzed. We obtain some small terms that are not described in the ocean tide model of the IERS Conventions 2010, which may be caused by the strategies and models we used or the signal noises as well as artifacts. In addition, there are also small differences on the amplitudes between our results and IERS convention. This might be a result of other geophysical excitations, such as the high-frequency variations in atmospheric angular momentum (AAM) and hydrological angular momentum (HAM), which needs more detailed analysis with more geophysical data in the future. |
format | Online Article Text |
id | pubmed-4367342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-43673422015-04-30 High Frequency Variations of Earth Rotation Parameters from GPS and GLONASS Observations Wei, Erhu Jin, Shuanggen Wan, Lihua Liu, Wenjie Yang, Yali Hu, Zhenghong Sensors (Basel) Article The Earth's rotation undergoes changes with the influence of geophysical factors, such as Earth's surface fluid mass redistribution of the atmosphere, ocean and hydrology. However, variations of Earth Rotation Parameters (ERP) are still not well understood, particularly the short-period variations (e.g., diurnal and semi-diurnal variations) and their causes. In this paper, the hourly time series of Earth Rotation Parameters are estimated using Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), and combining GPS and GLONASS data collected from nearly 80 sites from 1 November 2012 to 10 April 2014. These new observations with combining different satellite systems can help to decorrelate orbit biases and ERP, which improve estimation of ERP. The high frequency variations of ERP are analyzed using a de-trending method. The maximum of total diurnal and semidiurnal variations are within one milli-arcseconds (mas) in Polar Motion (PM) and 0.5 milli-seconds (ms) in UT1-UTC. The semidiurnal and diurnal variations are mainly related to the ocean tides. Furthermore, the impacts of satellite orbit and time interval used to determinate ERP on the amplitudes of tidal terms are analyzed. We obtain some small terms that are not described in the ocean tide model of the IERS Conventions 2010, which may be caused by the strategies and models we used or the signal noises as well as artifacts. In addition, there are also small differences on the amplitudes between our results and IERS convention. This might be a result of other geophysical excitations, such as the high-frequency variations in atmospheric angular momentum (AAM) and hydrological angular momentum (HAM), which needs more detailed analysis with more geophysical data in the future. MDPI 2015-01-28 /pmc/articles/PMC4367342/ /pubmed/25635416 http://dx.doi.org/10.3390/s150202944 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wei, Erhu Jin, Shuanggen Wan, Lihua Liu, Wenjie Yang, Yali Hu, Zhenghong High Frequency Variations of Earth Rotation Parameters from GPS and GLONASS Observations |
title | High Frequency Variations of Earth Rotation Parameters from GPS and GLONASS Observations |
title_full | High Frequency Variations of Earth Rotation Parameters from GPS and GLONASS Observations |
title_fullStr | High Frequency Variations of Earth Rotation Parameters from GPS and GLONASS Observations |
title_full_unstemmed | High Frequency Variations of Earth Rotation Parameters from GPS and GLONASS Observations |
title_short | High Frequency Variations of Earth Rotation Parameters from GPS and GLONASS Observations |
title_sort | high frequency variations of earth rotation parameters from gps and glonass observations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367342/ https://www.ncbi.nlm.nih.gov/pubmed/25635416 http://dx.doi.org/10.3390/s150202944 |
work_keys_str_mv | AT weierhu highfrequencyvariationsofearthrotationparametersfromgpsandglonassobservations AT jinshuanggen highfrequencyvariationsofearthrotationparametersfromgpsandglonassobservations AT wanlihua highfrequencyvariationsofearthrotationparametersfromgpsandglonassobservations AT liuwenjie highfrequencyvariationsofearthrotationparametersfromgpsandglonassobservations AT yangyali highfrequencyvariationsofearthrotationparametersfromgpsandglonassobservations AT huzhenghong highfrequencyvariationsofearthrotationparametersfromgpsandglonassobservations |