Cargando…

Multi-Channel Singular Spectrum Analysis on Geocenter Motion and Its Precise Prediction

Geocenter is the center of the mass of the Earth system including the solid Earth, ocean, and atmosphere. The time-varying characteristics of geocenter motion (GCM) reflect the redistribution of the Earth’s mass and the interaction between solid Earth and mass loading. Multi-channel singular spectru...

Descripción completa

Detalles Bibliográficos
Autores principales: Jin, Xin, Liu, Xin, Guo, Jinyun, Shen, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922311/
https://www.ncbi.nlm.nih.gov/pubmed/33671341
http://dx.doi.org/10.3390/s21041403
_version_ 1783658659871457280
author Jin, Xin
Liu, Xin
Guo, Jinyun
Shen, Yi
author_facet Jin, Xin
Liu, Xin
Guo, Jinyun
Shen, Yi
author_sort Jin, Xin
collection PubMed
description Geocenter is the center of the mass of the Earth system including the solid Earth, ocean, and atmosphere. The time-varying characteristics of geocenter motion (GCM) reflect the redistribution of the Earth’s mass and the interaction between solid Earth and mass loading. Multi-channel singular spectrum analysis (MSSA) was introduced to analyze the GCM products determined from satellite laser ranging data released by the Center for Space Research through January 1993 to February 2017 for extracting the periods and the long-term trend of GCM. The results show that the GCM has obvious seasonal characteristics of the annual, semiannual, quasi-0.6-year, and quasi-1.5-year in the X, Y, and Z directions, the annual characteristics make great domination, and its amplitudes are 1.7, 2.8, and 4.4 mm, respectively. It also shows long-period terms of 6.09 years as well as the non-linear trends of 0.05, 0.04, and –0.10 mm/yr in the three directions, respectively. To obtain real-time GCM parameters, the MSSA method combining a linear model (LM) and autoregressive moving average model (ARMA) was applied to predict GCM for 2 years into the future. The precision of predictions made using the proposed model was evaluated by the root mean squared error (RMSE). The results show that the proposed method can effectively predict GCM parameters, and the prediction precision in the three directions is 1.53, 1.08, and 3.46 mm, respectively.
format Online
Article
Text
id pubmed-7922311
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-79223112021-03-03 Multi-Channel Singular Spectrum Analysis on Geocenter Motion and Its Precise Prediction Jin, Xin Liu, Xin Guo, Jinyun Shen, Yi Sensors (Basel) Article Geocenter is the center of the mass of the Earth system including the solid Earth, ocean, and atmosphere. The time-varying characteristics of geocenter motion (GCM) reflect the redistribution of the Earth’s mass and the interaction between solid Earth and mass loading. Multi-channel singular spectrum analysis (MSSA) was introduced to analyze the GCM products determined from satellite laser ranging data released by the Center for Space Research through January 1993 to February 2017 for extracting the periods and the long-term trend of GCM. The results show that the GCM has obvious seasonal characteristics of the annual, semiannual, quasi-0.6-year, and quasi-1.5-year in the X, Y, and Z directions, the annual characteristics make great domination, and its amplitudes are 1.7, 2.8, and 4.4 mm, respectively. It also shows long-period terms of 6.09 years as well as the non-linear trends of 0.05, 0.04, and –0.10 mm/yr in the three directions, respectively. To obtain real-time GCM parameters, the MSSA method combining a linear model (LM) and autoregressive moving average model (ARMA) was applied to predict GCM for 2 years into the future. The precision of predictions made using the proposed model was evaluated by the root mean squared error (RMSE). The results show that the proposed method can effectively predict GCM parameters, and the prediction precision in the three directions is 1.53, 1.08, and 3.46 mm, respectively. MDPI 2021-02-17 /pmc/articles/PMC7922311/ /pubmed/33671341 http://dx.doi.org/10.3390/s21041403 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jin, Xin
Liu, Xin
Guo, Jinyun
Shen, Yi
Multi-Channel Singular Spectrum Analysis on Geocenter Motion and Its Precise Prediction
title Multi-Channel Singular Spectrum Analysis on Geocenter Motion and Its Precise Prediction
title_full Multi-Channel Singular Spectrum Analysis on Geocenter Motion and Its Precise Prediction
title_fullStr Multi-Channel Singular Spectrum Analysis on Geocenter Motion and Its Precise Prediction
title_full_unstemmed Multi-Channel Singular Spectrum Analysis on Geocenter Motion and Its Precise Prediction
title_short Multi-Channel Singular Spectrum Analysis on Geocenter Motion and Its Precise Prediction
title_sort multi-channel singular spectrum analysis on geocenter motion and its precise prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922311/
https://www.ncbi.nlm.nih.gov/pubmed/33671341
http://dx.doi.org/10.3390/s21041403
work_keys_str_mv AT jinxin multichannelsingularspectrumanalysisongeocentermotionanditspreciseprediction
AT liuxin multichannelsingularspectrumanalysisongeocentermotionanditspreciseprediction
AT guojinyun multichannelsingularspectrumanalysisongeocentermotionanditspreciseprediction
AT shenyi multichannelsingularspectrumanalysisongeocentermotionanditspreciseprediction