Results 11 to 20 of about 14,958 (244)
The numerical prediction of the Earth’s polar motion based on an advanced multivariate algorithm
Frontiers in Astronomy and Space Sciences, 2023 Since there are complicated changes in the polar motion (PM) from sub-annual to decadal, precisely predicting it is challenging. Here, we provide an advanced multivariate algorithm by combining an iterative oblique singular spectrum analysis (IOSSA) with
Kunpeng Shi +3 more
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Improvement of the prediction accuracy of polar motion using empirical mode decomposition
Geodesy and Geodynamics, 2017 Previous studies revealed that the error of pole coordinate prediction will significantly increase for a prediction period longer than 100 days, and this is mainly caused by short period oscillations.
Yu Lei, Hongbing Cai, Danning Zhao
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Prediction of polar motion and UT1-UTC based on the hybrid EEMD_LSTM model
Geo-spatial Information ScienceAccurate and real-time Earth rotation parameters (ERPs) are crucial for various scientific fields, including astronomy, geoscience, and oceanography.
Chenxiang Wang +3 more
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Earth and Space SciencePolar motion prediction is an important means to study the dynamics of Earth's rotation and detect the internal structure of the Earth. This paper proposes an LS + iTransformer method that combines the least squares (LS) method with the iTransformer deep
Huizhong Zhu +5 more
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Segmented Polar Motion Prediction Based on Varying Effective Angular Momentum Forecast Horizons
UniversePolar motion (PM), a key component of Earth orientation parameters (EOPs), is essential for high-precision satellite orbit determination and deep-space navigation.
Yangyang Cui +7 more
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Improved Prediction of Polar Motions by Piecewise Parameterization
Artificial Satellites, 2022 Abstract On seanonal timescale, the variation of Earth rotation is mainly regulated by angular momentum exchanges between the solid Earth and the fluidal atmosphere, ocean and hydrosphere. In the 2nd EOP PCC, we developed Dill2019’s method for polar motion prediction, using piecewise autoagressive parameters.
Yuanwei Wu, Xin Zhao, Xinyu Yang
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Earth, Planets and Space, 2023 The precise prediction of polar motion parameters is needed for the astrogeodynamics, navigation and positioning of the deep space probe. However, the current prediction methods are limited to predicting polar motion for specific periods, either short ...
Kezhi Wu +5 more
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Earth, Planets and Space, 2023 Earth rotation parameters (ERPs) are essential for transforming between the celestial and terrestrial reference frames, and for high-precision space navigation and positioning.
Chenxiang Wang, Pengfei Zhang
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Predictability of the Earth’s polar motion [PDF]
Bulletin Géodésique, 1985 A comprehensive, experimental study of the predictability of the polar motion using a homogeneous BIH (Bureau International de l'Heure) data set is presented. Based on knowledge of the physics of the annual and the Chandler wobbles, the numerical model for the polar motion is constructed by allowing the wobble periods to vary.
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Neural ODE Differential Learning and Its Application in Polar Motion Prediction
Journal of Geophysical Research: Solid Earth, 2022 AbstractThis paper introduces a new learning algorithm for accurate, physically driven time series prediction. The fundamental assumption behind the method is that the phenomena follow Ordinary Differential Equations. We investigate the general case where the time series follows an ODE of degree .
Mostafa Kiani Shahvandi +2 more
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