DOI: 10.1016/j.jag.2013.10.005
Scopus记录号: 2-s2.0-84923605732
论文题名: Global gravity field modeling based on GOCE and complementary gravity data
作者: Fecher T ; , Pail R ; , Gruber T
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 35, 期: PA 起始页码: 120
结束页码: 127
语种: 英语
英文关键词: Combination
; GOCE
; Gravity field model
; High performance computing
英文摘要: A combined high-resolution global gravity field model up to degree/order (d/o) 720, including error estimates in terms of a full variance-covariance matrix, is determined from GOCE (Gravity field and steady-state Ocean Circulation Explorer) and complementary gravity field data. GOCE observations, highly accurate in the low to medium wavelength part (∼d/o 40-220), are supplemented by GRACE (Gravity Recovery and Climate Experiment) with high accuracy in the low wavelength part (∼d/o 2-150), and altimetric and terrestrial gravity field observations to enhance the spectral resolution of the combined gravity field model. The theory of combining different data sets by least-squares techniques, applying optimum weighting strategies, is illustrated. Full normal equation systems are used to enable stochastic modeling of all individual observations. High performance computing techniques are applied in order tohandle normal equations of enormous size (about 2 TB). The quality of the resulting gravity field solutionis analyzed by comparisons with independent gravity field models and GPS/leveling observations, and also in the frame of the computation of a mean dynamic topography. The validation shows that the new combined model TUM2013C achieves the quality level of established high-resolution models. Compared to EGM2008, the improvements due to the inclusion of GOCE are clearly visible. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79484
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Astronomical and Physical Geodesy, Technische Universität München, Arcisstraße 21, München, Germany
Recommended Citation:
Fecher T,, Pail R,, Gruber T. Global gravity field modeling based on GOCE and complementary gravity data[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,35(PA)