Height bias and scale effect induced by antenna gravitational deformations in geodetic VLBI data analysis

被引:34
|
作者
Sarti, Pierguido [1 ]
Abbondanza, Claudio [1 ]
Petrov, Leonid [2 ]
Negusini, Monia [1 ]
机构
[1] Ist Nazl Astrofis INAF, Ist Radioastron IRA, I-40129 Bologna, Italy
[2] NASA, Goddard Space Flight Ctr, ADNET Syst Inc, Greenbelt, MD 20771 USA
关键词
VLBI; ITRF; Reference frames; Signal path variation; Antenna gravitational deformation; INTERFEROMETRY; ASTROMETRY;
D O I
10.1007/s00190-010-0410-6
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The impact of signal path variations (SPVs) caused by antenna gravitational deformations on geodetic very long baseline interferometry (VLBI) results is evaluated for the first time. Elevation-dependent models of SPV for Medicina and Noto (Italy) telescopes were derived from a combination of terrestrial surveying methods to account for gravitational deformations. After applying these models in geodetic VLBI data analysis, estimates of the antenna reference point positions are shifted upward by 8.9 and 6.7 mm, respectively. The impact on other parameters is negligible. To simulate the impact of antenna gravitational deformations on the entire VLBI network, lacking measurements for other telescopes, we rescaled the SPV models of Medicina and Noto for other antennas according to their size. The effects of the simulations are changes in VLBI heights in the range [-3, 73] mm and a net scale increase of 0.3-0.8 ppb. The height bias is larger than random errors of VLBI position estimates, implying the possibility of significant scale distortions related to antenna gravitational deformations. This demonstrates the need to precisely measure gravitational deformations of other VLBI telescopes, to derive their precise SPV models and to apply them in routine geodetic data analysis.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 50 条
  • [21] Analysis on the scale effect in the fully mechanized mining panel width with large mining height and dip angle
    Fan Z.-Z.
    Mao D.-B.
    Xu G.
    Wang D.-P.
    Fan, Zhi-Zhong (fanzhizhong@tdkcsj.com), 1600, China Coal Society (41): : 581 - 585
  • [22] Analysis of Negative Bias Illumination Stress Induced Effect on LTPS and a-IGZO TFT
    Agrawal, Khushabu S.
    Patil, Vilas S.
    Cho, Eun-Chel
    Yi, Junsin
    ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY, 2020, 9 (10)
  • [23] Effect of antenna-medium coupling in the analysis of ground-penetrating radar data
    Lambot, Sebastien
    Andre, Frederic
    Slob, Evert
    Vereecken, Harry
    NEAR SURFACE GEOPHYSICS, 2012, 10 (06) : 631 - 639
  • [24] "Non-geodetic" approaches in the analysis of terrestrial CDGPS data for the retrieval of the atmospheric precipitable water at local scale during severe weather phenomena
    Umberto, Tammaro
    Umberto, Riccardi
    Valeria, Sorrentino
    Irene, Forte
    Paolo, Capuano
    2014 IEEE WORKSHOP ON ENVIRONMENTAL ENERGY AND STRUCTURAL MONITORING SYSTEMS (EESMS), 2014, : 169 - 174
  • [25] A scale-space clustering method: Mitigating the effect of scale in the analysis of zone-based data
    Mu, Lan
    Wang, Fahui
    ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS, 2008, 98 (01) : 85 - 101
  • [26] Map of deep seated gravitational slope deformations susceptibility in central Italy derived from SRTM DEM and spectral mixing analysis of the Landsat ETM plus data
    Taramelli, A.
    Melelli, L.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (02) : 357 - 387
  • [27] SPATIAL SCALE EFFECT ON VEGETATION PHENOLOGICAL ANALYSIS USING REMOTE SENSING DATA
    Wang, Yiting
    Xie, Donghui
    Hu, Ronghai
    Yan, Guangjian
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 1329 - 1332
  • [28] Monitoring of millimeter-scale deformations in Tallinn using repeated leveling and PS-InSAR analysis of Sentinel-1 data
    Oja, Tonis
    Gruno, Anti
    ADVANCES IN GEODESY AND GEOINFORMATION, 2023, 72 (01)
  • [29] Ecological regression analysis of environmental benzene exposure and childhood leukaemia: sensitivity to data inaccuracies, geographical scale and ecological bias
    Best, N
    Cockings, S
    Bennett, J
    Wakefield, J
    Elliott, P
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2001, 164 : 155 - 174
  • [30] The M-Value: A Simple Sensitivity Analysis for Bias Due to Missing Data in Treatment Effect Estimates
    Mathur, Maya B.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2023, 192 (04) : 612 - 620