Regularized estimation of Euler pole parameters


Creative Commons License

Aktug B., YILDIRIM Ö.

EARTH PLANETS AND SPACE, cilt.65, sa.7, ss.699-705, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 65 Sayı: 7
  • Basım Tarihi: 2013
  • Doi Numarası: 10.5047/eps.2012.10.004
  • Dergi Adı: EARTH PLANETS AND SPACE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.699-705
  • Anahtar Kelimeler: Tectonics, Euler parameters, multicollinearity, GNSS velocities, TERRESTRIAL REFERENCE FRAME, PLATE MOTION MODEL, GPS, DEFORMATION, TOMOGRAPHY, HOTSPOTS
  • Ankara Üniversitesi Adresli: Hayır

Özet

Euler vectors provide a unified framework to quantify the relative or absolute motions of tectonic plates through various geodetic and geophysical observations. With the advent of space geodesy, Euler parameters of several relatively small plates have been determined through the velocities derived from the space geodesy observations. However, the available data are usually insufficient in number and quality to estimate both the Euler vector components and the Euler pole parameters reliably. Since Euler vectors are defined globally in an Earth-centered Cartesian frame, estimation with the limited geographic coverage of the local/regional geodetic networks usually results in highly correlated vector components. In the case of estimating the Euler pole parameters directly, the situation is even worse, and the position of the Euler pole is nearly collinear with the magnitude of the rotation rate. In this study, a new method, which consists of an analytical derivation of the covariance matrix of the Euler vector in an ideal network configuration, is introduced and a regularized estimation method specifically tailored for estimating the Euler vector is presented. The results show that the proposed method outperforms the least squares estimation in terms of the mean squared error.