Earth rotation and geodynamics

Bogusz, Janusz; Brzeziński, Aleksander; Kosek, W.; Nastula, Jolanta

doi:10.1515/geocart-2015-0013

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…The findings of this study are significant for marine geoid determination and bathymetry estimation over Malaysian seas. In addition, modelling of geodynamic phenomena like polar motion, Earth rotation, and crustal deformation can be predicted by implementing gravity data into the computations (Bogusz et al 2015).…”

Section: Open Accessmentioning

confidence: 99%

Optimised gravity anomaly fields from along-track multi-mission satellite altimeter over Malaysian seas

Yazid

Din

Omar

et al. 2022

TAO

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Marine gravity anomalies are crucial parameters and elements for determining coastal and ocean geoid, tectonics and crustal structures, as well as offshore studies. This study aims to derive and develop a marine gravity anomaly model over Malaysian seas from multi-mission altimetry data. Universiti Teknologi Malaysia 2020 Mean Sea Surface Model is computed based on along-track data from nine satellite missions, incorporating TOPEX, Jason-1, Jason-2, ERS-2, Geosat Follow on (GFO), Envisat-1, CryoSat-2, SARAL/AltiKa, and Sentinel-3A. The data exploited are from 1993 to 2019 (27 years). Residual gravity anomaly is computed using Gravity Software, and two-dimensional planar Fast Fourier Transformation method is applied. The evaluation, selection, blunder detection, combination, and re-gridding of the altimetry-derived gravity anomalies and Global Geopotential Model data are demonstrated. Cross-validation procedure is employed for data cleaning and quality control using the Kriging interpolation method. Then, cross-validation procedure is applied to the tapering window width 200, which adopting the GECO model denotes the optimum gravity anomaly with root mean square errors in the range of ± 4.2472 mGal to ± 6.0202 mGal. The findings suggest that the estimated marine gravity anomaly is acceptable to be implemented in the marine geoid determination and bathymetry estimation over Malaysian seas. In addition, the results of this study are valuable for geodetic and geophysical applications in marine areas.

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Section: Open Accessmentioning

confidence: 99%

Optimised gravity anomaly fields from along-track multi-mission satellite altimeter over Malaysian seas

Yazid

Din

Omar

et al. 2022

TAO

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“…It is important to note that the relativistic corrections are also applied to the measured distance in SLR as a free-space signal propagation model (Arnold et al, 2019). The data obtained using the SLR technique are widely used for various tasks in satellite geodesy and geodynamics, such as determining the coordinates of laser stations (Guo et al, 2018;Lejba and Schillak, 2011;Zelensky et al, 2014), in the study of the gravitational field of the Earth (Brzeziński et al, 2016a;, determining the parameters of Earth's orientation (Bloßfeld et al, 2018;Brzeziński et al, 2016b;Gourine, 2012;Shen et al, 2015) and rotation (Bogusz et al, 2015), or studying the phenomenon of tides (Jagoda et al, 2016;Jagoda, 2010, 2015;. The SLR technique also supports GNSS systems (Specht, 2022) and participates in the development of GGOS (Sośnica and Bosy, 2019).…”

Section: Introductionmentioning

confidence: 99%

Satellite Laser Ranging technique as a tool for the determination of the Schwarzschild, de Sitter and Lense-Thirring effects

Matyszewski,

Lejba,

Jagoda

et al. 2023

Reports on Geodesy and Geoinformatics

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Satellite Laser Ranging (SLR) is a modern technique used in various research areas and applications related to geodesy and geodynamics. It is commonly used for tasks such as establishing the International Terrestrial Reference Frame (ITRF), monitoring Earth Orientation Parameters (EOP), determining the geocenter, measuring fundamental physical constants, calibrating microwave tracking techniques, conducting time transfer experiments, and studying gravitational and general relativistic effects. Laser measurements of the LARES and LAGEOS satellites are used to determine the relativistic effects acting on these satellites. The objective of the present research is to analyze the perturbing forces of relativistic origin (Schwarzschild, de Sitter and Lense-Thirring effects) acting on the LARES, LAGEOS-1 and LAGEOS-2 satellites. By using data from fifteen SLR measurement stations, the precise orbits of these satellites were determined over a span of 840 hours using the GEODYN II orbital software package. The calculation process used a set of procedures, models of forces, and constants that are currently recommended by the International Earth Rotation and Reference Systems Service (IERS) and the International Laser Ranging Service (ILRS). Based on the precise orbits of the LARES, LAGEOS-1, and LAGEOS-2 satellites, calculations were made to determine the values of relativistic accelerations acting on these satellites. These values oscillate with a period equal to half of the orbital period for the de Sitter and Lense-Thirring effects, and a quarter of the orbital period for the Schwarzschild effect.

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Improving the accuracy of polar motion prediction using a hybrid least squares and long short-term memory model

Wang,

Zhang

2023

Earth Planets Space

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Earth rotation parameters (ERPs) are essential for transforming between the celestial and terrestrial reference frames, and for high-precision space navigation and positioning. Among the ERPs, polar motion (PM) is a critical parameter for analyzing and understanding the dynamic interaction between the solid Earth, atmosphere, ocean, and other geophysical fluids. Traditional methods for predicting the change in ERPs rely heavily on linear models, such as the least squares (LS) and the autoregressive (AR) model (LS + AR). However, variations in ERP partly reflect non-linear effects in the Earth system, such that the predictive accuracy of linear models is not always optimal. In this paper, long short-term memory (LSTM), a non-linear neural network, is employed to improve the prediction of ERPs. Polar motion prediction experiments in this study are conducted using the LSTM model and a hybrid method LS + LSTM model based on the IERS EOP14C04 time series. Compared with Bulletin A, the PMX and PMY prediction accuracy can reach a maximum of 33.7% and 31.9%, respectively, with the LS + LSTM model. The experimental results show that the proposed hybrid model displays a better performance in mid- and long-term (120–365 days) prediction of polar motion. Graphical Abstract

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Earth rotation and geodynamics

Cited by 3 publications

References 34 publications

Optimised gravity anomaly fields from along-track multi-mission satellite altimeter over Malaysian seas

Optimised gravity anomaly fields from along-track multi-mission satellite altimeter over Malaysian seas

Satellite Laser Ranging technique as a tool for the determination of the Schwarzschild, de Sitter and Lense-Thirring effects

Improving the accuracy of polar motion prediction using a hybrid least squares and long short-term memory model

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