Large-scale Time-variable Unified Gravity Field Model Using GRACE Data

TU Yi; LU Yang; ZHANG Zizhan; SHI Hongling; DU Zongliang; GAO Chunchun; ZHU Chuandong

doi:10.13203/j.whugis20140303

Volume 41 Issue 8

Aug. 2016

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Geomatics and Information Science of Wuhan University > 2016 > 41(8): 1100-1106. > DOI: 10.13203/j.whugis20140303

TU Yi, LU Yang, ZHANG Zizhan, SHI Hongling, DU Zongliang, GAO Chunchun, ZHU Chuandong. Large-scale Time-variable Unified Gravity Field Model Using GRACE Data[J]. Geomatics and Information Science of Wuhan University, 2016, 41(8): 1100-1106. DOI: 10.13203/j.whugis20140303

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Large-scale Time-variable Unified Gravity Field Model Using GRACE Data

TU Yi^{1, 2,},
LU Yang^{1, 2},
ZHANG Zizhan^{1, 3},
SHI Hongling^{1, 4, 5},
DU Zongliang^{1, 2},
GAO Chunchun^{1, 2},
ZHU Chuandong^{1, 2}

1.
State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China
3.
Center for Space Research, University of Texas at Austin, Austin 78759, USA
4.
Key Laboratory of Geo-Informatics, National Administration of Surveying, Mapping and Geoinformation, Beijing 100830, China
5.
Key Lab for Polar Surveying and Mapping Science, National Administration of Surveying, Mapping and Geoinformation, Wuhan 430079, China

Funds:

The National Key Basic Research Program of China 2013CB733301

the National Natural Science Foundation of China 41274025

the National Natural Science Foundation of China 41174064

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Author Bio:
TU Yi, PhD candidate, specializes in applications of GRACE time-variable gravity field.tuyi0126@163.com
Received Date: January 29, 2016
Published Date: August 04, 2016

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Abstract

Abstract

We established a large-scale time-variable unified gravity field model IGG-TVG2013 based on GRACE satellite data from 2003 to 2012 using the least square method. This model is composed of annual and semi-annual trends and periodic terms, usually of each spherical harmonic coefficient. Besides those empirical parameters, an acceleration term, tidal aliasing error, and large earthquakes are taken into account. Acceleration is a modification to linear trend to detect and express more details in signals. Tidal aliasing error is the residual error in a tide model that must be carefully removed from GRACE solutions; a co-seismic jump in the gravity field may disturb the secular trend. An evaluation of IGG-TVG2013 solutions and corresponding GRACE solutions shows that the RMSE value in 92% of global grids was less than one ugal. Extrapolation results for the first half of 2013 using the IGG-TVG2013 model shows this model has good potential in short-term forecasting. We concluded that the IGG-TVG2103 model can effectively describe the time-space variability of gravity field.
- GRACE,
- time-variable unified gravity filed,
- least square fitting,
- spherical harmonic coefficients,
- acceleration,
- tide model error,
- great earthquake

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References (30)

References

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Large-scale Time-variable Unified Gravity Field Model Using GRACE Data

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