利用卫星重力数据反演地球重力场需要解决重力场模型的高效计算问题.分析了最小二乘直接法求解重力场模型涉及的密集型计算任务,基于OpenMP实现了卫星重力场模型直接求解的并行算法.利用30天、5秒采样间隔的沿轨扰动位7和径向扰动重力梯度Trr数据,分别反演了60阶次的卫星重力场模型,计算结果表明,OpenMP并行算法能够有效提高直接法求解卫星重力场模型的计算效率,并具有很好的稳定性.%The massive satellite data presents a significant computational challenge to estimate the gravity field. Analyzing the computing-intensive tasks in recovering the earth gravity field model based on the direct least -squares algorithms, on applying parallel computing techniques capable of rigorously inverting geopotential coefficients using direct method on the basis of OpenMP is focused. Eventually, the earth' s gravity fields complete to degree and order 60 are recovered respectively on the basis of monthly along track disturbing potential observations and gravity gradient observations (with 5 s sampling interval). The simulation shows that introducing the parallel algorithms based on OpenMP into determination of the earth' s gravity field model can be more effective, and is of great reliability.
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