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Application of parallel algorithms based on OpenMP to satellite gravity field recovery
|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|
|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|
|Copyright Information:||GeoRef, Copyright 2021 American Geosciences Institute.|
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