Results 251 to 260 of about 2,988,122 (284)

Modeling and forecast of the polar motion excitation functions for short-term polar motion prediction

Journal of Geodesy, 2004
Short-term forecast of the polar motion is considered by introducing a prediction model for the excitation function that drives the polar motion dynamics. The excitation function model consists of a slowly varying trend, periodic modes with annual and several sub-annual frequencies (down to the 13.6-day fortnightly tidal period), and a transient decay ...
R S Gross, J O Dickey
exaly   +2 more sources

Multi-parameter Polar Motion Prediction Based on Effective Angular Momentum Function

Chinese Astronomy and Astrophysics, 2022
Shou-Gang Zhang
exaly   +2 more sources

Prediction of polar motion

Bulletin Geodesique, 1982
Based on an analysis of polar motion behavior, we found the possibility of predicting polar motion up to one year in advance. Comparing these predicted polar coordinates with the observed ones (smoothed), the rms of the differences is about 0".02. The differences of the relative polar motion are much smaller.
exaly   +2 more sources

Selecting data for autoregressive modeling in polar motion prediction

Acta Geodaetica Et Geophysica, 2019
The Least-squares extrapolation of harmonic models and autoregressive (LS + AR) prediction is currently considered to be one of the best prediction model for polar motion parameters. In this method, LS fitting residuals are treated as data to train an AR model. But it is readily known that using too many data will result in learning a badly relevant AR
Guobin Chang, Kazhong Deng, Wuyong Tao
exaly   +2 more sources

Long-term polar motion prediction using normal time–frequency transform [PDF]

Journal of Geodesy, 2013
This paper presents normal time–frequency transform (NTFT) application in harmonic/quasi-harmonic signal prediction. Particularly, we use the normal wavelet transform (a special NTFT) to make long-term polar motion prediction. Instantaneous frequency, phase and amplitude of Chandler wobble, prograde and retrograde annual wobbles of Earth’s polar motion
Su, Xiaoqing, Liu, Lintao, Houtse, Hsu, Wang, Guocheng   +3 more
exaly   +2 more sources

Polar motion modeling, analysis, and prediction with time dependent harmonic coefficients

Journal of Geodesy, 2008
A time dependent amplitude model was proposed for the analysis and prediction of polar motion time series. The formulation was implemented to analyze part of the new combined solution, EOP (IERS) C 04, daily polar motion time series of 14 years length using a statistical model with first order autoregressive disturbances. A new solution approach, where
Huseyin Baki Iz
exaly   +2 more sources

El Niño Impact on Polar Motion Prediction Errors

Studia Geophysica et Geodaetica, 2001
The polar motion prediction is computed as a least-squares extrapolation of the polar motion data. The least-squares model consists of a Chandler circle with constant or variable amplitude, annual and semiannual ellipses, and a bias. The model with constant amplitude of the Chandler oscillation is fit to the last three years of polar motion data and ...
W. Kosek, D.D. McCarthy, B.J. Luzum
openaire   +1 more source

Polar motion prediction based on adaptive filtering of variable forgetting factor

2017 Forum on Cooperative Positioning and Service (CPGPS）, 2017
The Polar Motion (PM) is the important parameter of Earth Rotation Parameters (ERP), and the high-precision prediction of PM plays a key role in the applications of autonomous orbit determination, the geodetic survey, navigation and aviation. In this paper, a modified algorithm is proposed to improve the PM prediction accuracy based on combination of ...
Song Jia, Tianhe Xu, Honglei Yang
openaire   +1 more source

Advancing polar motion prediction with derivative information

Journal of Applied Geodesy
Abstract Earth Orientation Parameters (EOP) are essential for monitoring Earth’s rotational irregularities, impacting satellite navigation, space exploration, and climate forecasting. This study introduces a hybrid prediction model combining least-squares (LS) and vector autoregression (VAR) to improve Earth’s Pole Coordinates (x, y ...
Maciej Michalczak, Marcin Ligas, Santiago Belda, José M. Ferrándiz, Sadegh Modiri   +4 more
openaire   +1 more source

Match schemes of the modeled geophysical excitation functions for the Earth's polar motion prediction

2023
The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)
Xu, C., Duan, P., Huang, C., Xu, X., Zhou, Y.   +4 more
openaire   +2 more sources