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中文摘要：
探讨了SST-HL模式下利用卫星均值加速度反演地球重力场的实用解算模型,给出了抑制卫星均值加速度高频误差的滤波方法和具体数据处理方案。采用61d的GOCE几何法轨道和加速度计数据,在Kaula正则化约束条件下求解了100阶次的重力场模型WHU-GOCE-SST01S（RE）,结果表明其整体精度优于EIGEN-CHAMP03S和GO_CONS_GCF_2_TIM_R1模型,验证了所提数据处理方法的有效性。
英文摘要：
The practical mathematical model for gravity field recovery using satellite average accelerations derived from SST-HL mode is discussed. As the numerical differentiation will rapidly amplify the high-frequency noise in orbit-derived accelerations, the filtering method and specific data processing scheme for suppressing the high-frequency noise of satellite aver- age accelerations are presented. As a test, an Earth＇s gravity field model WHU-GOCE- SST01S（RE） up to degree and order 100 is recovered with Kaula regularization constrain from 61-day GOCE kinematic orbits and accelerometer data. The result shows that the total accuracy of WHU-GOCE-SST01S（RE） is more accurate than EIGEN-CHAMP03S model and GO_CONS_GCF 2 TIM_R1 model , which validates the effectiveness of the proposed data processing method.
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