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《Acta Geodaetica et Cartographica Sinica》 2015-08
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MPI Parallel Algorithm in Satellite Gravity Field Model Inversion on the Basis of Least Square Method

ZHOU Hao;LUO Zhicai;ZHONG Bo;LU Biao;School of Geodesy and Geomatics,Wuhan University;Key Lab of Geospace Environment and Geodesy,Ministry of Education,Wuhan University;  
In order to solve the intensive computing tasks and high memory demand problem in satellite gravity field model inversion on the basis of huge amounts of satellite gravity observations,the parallel algorithm for high truncated order and degree satellite gravity field model inversion with least square method on the basis of MPI was introduced.After analyzing the time and space complexity of each step in the solving flow,the parallel I/O,block-organized storage and block-organized computation algorithm on the basis of MPI are introduced to design the parallel algorithm for building design matrix,establishing and solving normal equation,and the simulation results indicate that the parallel efficiency of building design matrix,establishing and solving normal equation can reach to 95%,68%and 63%respectively.In addition,on the basis of GOCE simulated orbits and radial disturbance gravity gradient data(518 400 epochs in total),two earth gravity models truncated to degree and order 120,240 are inversed,and the relative computation time and memory demand are only about 40 minutes and 7hours,290 MB and 1.57 GB respectively.Eventually,a simulation numerical calculation for earth gravity field model inversion with the simulation data,which has the equivalent noise level with GRACE and GOCE mission,is conducted.The accuracy of inversion model has a good consistent with current released model,and the combined mode can complement the spectral information of each individual mission,which indicates that the parallel algorithm in this paper can be applied to inverse the high truncated degree and order earth gravity model efficiently and stably.
【Fund】: 国家973计划(2013CB733302);; 国家自然科学基金(41104014;41131067);; 地理信息工程国家重点实验室开放基金(SKLGIE2013-M-1-3);; 大地测量与地球动力学国家重点实验室开放基金(SKLGED2015-1-3-E);; 地球空间环境与大地测量教育部重点实验室开放基金(13-02-05)~~
【CateGory Index】: P223.4
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