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Application of parallel algorithms based on OpenMP to satellite gravity field recovery

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Authors:Zhou Hao; Zhong Bo; Luo Zhicai; Zhang Kun
Author Affiliations:Primary:
Wuhan University, School of Geodesy and Geomatics, Wuhan, China
Volume Title:Dadi Celiang yu Diqiu Dongli Xue Journal of Geodesy and Geodynamics
Source:Dadi Celiang yu Diqiu Dongli Xue = Journal of Geodesy and Geodynamics, 31(5), p.123-127. Publisher: Gai Kan Bianjibu, Wuhan, China. ISSN: 1671-5942
Publication Date:2011
Note:In Chinese with English summary. 14 refs.
Summary:Massive satellite data presents a significant computational challenge to estimate a gravity field. Analyzing computing-intensive tasks in recovering the earth gravity field model based on direct least-squares algorithms, applying parallel computing techniques capable of rigorously inverting the geopotential coefficients using a direct method based on OpenMP is discussed. Eventually, the Earth's gravitational fields complete to degree and order 60 are recovered monthly along a track that disturbs potential observations and gravity gradient observations (with a 5 s sampling interval). The simulation shows that introducing parallel algorithms based on OpenMP into the determination of the Earth's gravity field model can make the modelmore effective, and has great reliability.
Subjects:Algorithms; Applications; Geodesy; Gravity field; Least-squares analysis; Remote sensing; Satellite methods; Statistical analysis
Record ID:788497-27
Copyright Information:GeoRef, Copyright 2021 American Geosciences Institute.
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