Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-20T00:26:50.909Z Has data issue: false hasContentIssue false
  • English
  • Français

Polar motion from ILS observations with least-squares collocation

Published online by Cambridge University Press:  03 August 2017

R. Verbeiren
R. Verbeiren*
Affiliation:
Royal Observatory of Belgium, Ringlann, 3, B1180 Brussels, Belgium

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Least-squares collocation is a powerful method for combining interpolation, filtering and parameter determination in one single computational step. We show that the method is applicable to the computation of polar motion values from a very large set of basic observational data. In this study, we use the ILS observations from 1900 to 1978.

Type
III. Determination of Earth Rotation Parameters
Information
Symposium - International Astronomical Union , Volume 128: Earth's Rotation and Reference Frames for Geodesy and Geodynamics , 1988 , pp. 215 - 220
Copyright
Copyright © Reidel 1988 

References

[1] Moritz, H.: ‘Advanced Physical Geodesy’ Herbert Wichmann Verlag, Band nr 13, 1980.Google Scholar
[2] Moritz, H.: ‘Statistical foundations of collocation’ Rep. 272, Dep. of Geod. Sci., Ohio State Univ., 1978.Google Scholar
[3] Krarup, T.: ‘A contribution to the mathematical foundation of physical geodesy, Publ. 44, Dan. Geod. Inst., Copenhagen, 1969.Google Scholar
[4] Verbeiren, R.: ‘Computation of Pole Coordinates from the MERIT campaign using Least-Squares Collocation’, XIXth General Assembly of the IAU, New Delhi, Nov. 1985, Prepared for publication in Bull. Geod.Google Scholar
[5] Yumi, S., Yokoyama, K.: ‘Results of the ILS in a homogeneous system’, Central Bureau of the IPMS, Mizusawa, 1980.Google Scholar
[6] Rapp, R.H.: ‘Numerical results from the combination of gravimetric and satellite data using the principle of least-squares collocation’ Rep. 200, Dep. of Geod. Sci., Ohio State Univ., 1973.Google Scholar
[7] Sunkel, H.: ‘Covariance Approximations’, Proc. VIIth Symp. Math. Geod., Comm. Geod. It., 195–214, 1981.Google Scholar
[8] Verbeiren, R.: , 1985.Google Scholar