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Predicting the Earth Orientation Parameters by the Least Squares Method

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Abstract

The precision in predicting the Earth Orientation Parameters by the least squares method is statistically analyzed. The prediction involves assessment of the polynomial coefficients approximating the evolution of the polar motion and the irregularity of Earth’s rotation. Optimal approximating polynomials and approximation intervals corresponding to the greatest statistical accuracy of prediction over the specified time interval are determined. The proposed algorithms are analyzed on the basis of historical data regarding the evolution of the Earth Orientation Parameters over many years, and the accuracy levels attained in prediction are identified.

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Authors and Affiliations

  1. Moscow Aviation Institute, Moscow, Russia

    D. A. Kozorez, D. M. Kruzhkov, K. V. Kuznetsov & E. A. Martynov

Authors
  1. D. A. Kozorez
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  2. D. M. Kruzhkov
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  3. K. V. Kuznetsov
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  4. E. A. Martynov
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Corresponding author

Correspondence to D. M. Kruzhkov.

Additional information

Translated by B. Gilbert

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Kozorez, D.A., Kruzhkov, D.M., Kuznetsov, K.V. et al. Predicting the Earth Orientation Parameters by the Least Squares Method. Russ. Engin. Res. 40, 1124–1127 (2020). https://doi.org/10.3103/S1068798X20120357

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  • DOI: https://doi.org/10.3103/S1068798X20120357

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