scholarly journals Earth rotation parameter estimation by GPS observations

2006 ◽  
Vol 9 (4) ◽  
pp. 260-264 ◽  
Author(s):  
Yao Yibin
Keyword(s):  
Parameter Estimation ◽  
Earth Rotation ◽  
Rotation Parameter ◽  
Earth Rotation Parameter ◽  
Gps Observations

scholarly journals Earth rotation parameter and variation during 2005–2010 solved with LAGEOS SLR data

2015 ◽  
Vol 6 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Yi Shen ◽  
Jinyun Guo ◽  
Chunmei Zhao ◽  
Xuemin Yu ◽  
Jiulong Li
Keyword(s):  
Earth Rotation ◽  
Rotation Parameter ◽  
Earth Rotation Parameter

scholarly journals IGS Combined and Contributed Earth Rotation Parameter Solutions

2000 ◽  
Vol 178 ◽  
pp. 277-302
Author(s):  
Jan Kouba ◽  
Gerhard Beutler ◽  
Markus Rothacher
Keyword(s):  
Angular Momentum ◽  
Earth Rotation ◽  
Polar Motion ◽  
Rotation Parameter ◽  
Atmospheric Angular Momentum ◽  
Length Of Day ◽  
Earth Rotation Parameter ◽  
Average Correlation ◽  
Precision Level

AbstractSince January 1995 the International GPS Service (IGS) has been combining and analyzing daily polar motion (PM) series, produced and submitted by seven IGS analysis centers (ACs) for the IGS Final orbit/clock combinations. Since June 30, 1996 the IGS Earth Rotation Parameter (ERP) series that accompany the IGS combined orbits, also include combined PM rates. Furthermore, since March 1997, the IGS LOD (Length of Day) solutions are based on separate combinations of AC LOD solutions calibrated and weighted according to the IERS Bulletin A definite values. Similar to AC orbit solutions, the PM solutions have improved considerably since 1995, so that currently the IGS combined and the best AC PM solutions are at or below the 0.1 mas precision level, although PM biases may exceed .1 mas. Comparisons of AC ERP and PM rate solutions with the IGS Final combined ERP series revealed signals with 7 and 14-day periods for some AC solutions.During 1998, the IGS Final and the best AC PM rate solutions compared with Atmospheric Angular Momentum (AAM) at 0.3 mas/day (rms) with an average correlation of about 0.8 and 0.6 for the PM x and PM y rate components. The correlation varied considerably with time and frequency, though significant correlation already started from 6-day periods and reaching maxima within 10 to 50 day period bands. Most of the remaining signal in the PM rate solutions could likely be accounted for by Ocean Angular Momentum (OAM) as seen from the comparisons of combined OAM and AAM with the IGS PM series during 1995 and early 1996 when also OAM data were made available. During this period the IGS PM rates agreed with the combined OAM + AAM series with 0.3 and 0.2 mas/day (rms) for the PM x and y components and with an average correlation of about 0.8 for both PM components.

ERP (SHA) 87L01 — An Earth rotation parameter series from lageos data

1990 ◽  
Vol 14 (1) ◽  
pp. 75-90
Author(s):  
Zhu Wen-yao ◽  
Feng Chu-gang ◽  
Zhang Hua ◽  
Teng Zhan-ming
Keyword(s):  
Earth Rotation ◽  
Rotation Parameter ◽  
Earth Rotation Parameter

Earth rotation parameters estimation using satellite laser ranging measurements to multiple LEO satellites

2021 ◽  
Author(s):  
Hongmin Zhang ◽  
Keke Zhang ◽  
Yongqiang Yuan ◽  
Qian Zhang ◽  
Jiaqi Wu ◽  
...  
Keyword(s):  
Earth Rotation ◽  
Parameters Estimation ◽  
Laser Ranging ◽  
Step Method ◽  
Earth Rotation Parameters ◽  
Leo Satellites ◽  
One Step ◽  
Rotation Parameters ◽  
The Impact ◽  
Gps Observations

<p>Earth rotation parameters (ERP) are one of the key parameters in realization of the International Terrestrial Reference Frames (ITRF). Currently, the ERP products from International Laser Ranging Service (ILRS) are generated based on SLR observations to LAGEOS and Etalon satellites, which account for only about 9% of total SLR observations to Earth satellites. A large amount of SLR observations for the geodetic and oceanographic LEOs are neglected due to relatively degraded orbit caused by imperfect orbit models. However, thanks to the recent refinement of both dynamic and observation models, the quality of LEO orbits has been improved significantly, which makes it worthwhile to investigate the potential of these LEOs in the ERP estimation. In this study, we focus on the contribution of SLR observations from multiple LEO satellites to ERP estimation. The SLR observations of current seven LEO satellites (Swarm-A/B, GRACE-C/D, Sentinel-3A/B and Jason-3) as well as LAGEOS are used. Several strategies are designed to investigate the impact of the LEO orbit altitude, inclination and the number of LEO satellites. We also discuss the contribution of the application of ambiguity-fixed orbits and consider the simultaneous processing of SLR and GPS observations. The three-day solutions are selected and all the results are evaluated by the comparison with IERS Bulletin A.</p><p>The results show that for the single-LEO solutions, there is no evident relationship between the accuracy of ERP and the LEO orbit altitude and inclination. The best consistency with the IERS products is achieved by the Jason-3 solutions, with RMS values of 1.9mas, 1.8mas and 93us for X pole, Y pole and length of day (LOD) respectively. The multi-LEO solution results indicate that the accuracy of ERP can be improved gradually with the increase of LEO satellites. Compared with the single-LEO solution, the accuracy of X pole and Y pole of the 7-LEO solution is improved by 39.27% and 53.84% respectively. This result can be easily understood by the evident increase of SLR observations with the increase of LEO satellites. We also find the ERP estimation can benefit from the application of the ambiguity-fixed orbit.</p><p>In addition, apart from the solutions with LEO orbits fixed (two-step method), we also jointly process the onboard GPS observations and SLR measurements to obtain LEO orbits and ERP simultaneously (one-step method). The result indicates that the ERP of the one-step solution present a better accuracy than that of the two-step solution. Moreover, the LEO orbits can also benefit from the integrated processing.</p>

Sign in / Sign up

Export Citation Format

Share Document