| 联合高低卫-卫跟踪和卫星重力梯度数据恢复地球重力场的谱组合法 |
| |
| 引用本文： | 钟波,罗志才,李建成,汪海洪. 联合高低卫-卫跟踪和卫星重力梯度数据恢复地球重力场的谱组合法[J]. 测绘学报, 2012, 41(5): 735-742 |
| |
| 作者姓名： | 钟波 罗志才 李建成 汪海洪 |
| |
| 作者单位： | 1. 武汉大学测绘学院;2. 武汉大学测绘学院，地球空间环境与大地测量教育部重点实验室;3. 武汉大学 测绘学院; |
| |
| 基金项目： | 国家自然科学基金，中国博士后科学基金，地球空间环境与大地测量教育部重点实验室开放基金，谨以此文祝贺宁津生院士80华诞 |
| |
| 摘 要： | GOCE采用的高低卫-卫跟踪和卫星重力梯度测量技术在恢复重力场方面各有所长并互为补充，如何有效利用这两类观测数据最优确定地球重力场是GOCE重力场反演的关键问题。本文研究了联合高低卫-卫跟踪和卫星重力梯度数据恢复地球重力场的最小二乘谱组合法，基于球谐分析方法推导并建立了卫星轨道面扰动位T和径向重力梯度Tzz、以及扰动位T和重力梯度分量组合{Tzz-Txx-Tyy}的谱组合计算模型与误差估计公式。数值模拟结果表明，谱组合计算模型可以有效顾及各类数据的精度和频谱特性进行最优联合求解。采用61天GOCE实测数据反演的两个180阶次地球重力场模型WHU_GOCE_SC01S（扰动位和径向重力梯度数据求解）和WHU_GOCE_SC02S（扰动位和重力梯度分量组合数据求解），结果显示后者精度优于前者，并且它们的整体精度优于GOCE时域解，而与GOCE空域解的精度接近，验证了谱组合法的可行性与有效性。
|
| 关 键 词： | 谱组合法 地球重力场 卫星重力梯度 高低卫-卫跟踪 球谐分析 GOCE |
| 收稿时间： | 2012-07-17 |
| 修稿时间： | 2012-07-24 |
Spectral Combination Method for Recovering the Earth's Gravity Field from High-low SST and SGG Data |
| |
| ZHONG Bo,LUO Zhicai,LI Jiancheng,WANG Haihong. Spectral Combination Method for Recovering the Earth's Gravity Field from High-low SST and SGG Data[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(5): 735-742 |
| |
| Authors: | ZHONG Bo LUO Zhicai LI Jiancheng WANG Haihong |
| |
| Affiliation: | 1,2 1.School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;2.Key Laboratory of Geospace Environment and Geodesy of Ministry of Education,Wuhan University,Wuhan 430079,China |
| |
| Abstract: | High-low satellite-to-satellite tracking (SST-hl) and satellite gravity gradiometry (SGG) employed in GOCE mission are complementary in determining the Earth’s gravity field, but how to effectively use these two types of data is a key problem for the determination of optimal GOCE gravity filed solution. The least-squares spectral combination method for recovering the Earth’s gravity field from the combination of SST-hl and SGG data is studied. The spectral combination computing models and their error estimation formulae for combining disturbing potential T and radial gravity gradient Tzz data, and for combining disturbing potential T and gravity gradient combined components {Tzz-Txx-Tyy} data are established based on spherical harmonic analysis, respectively. Numerical simulation results indicate that the optimal combined solution can be obtained from the spectral combination computing model, which can effectively take into account the accuracy and spectral characteristics with each type of data. Finally, the feasibility and effectiveness of the spectral combination method is validated from GOCE real data processing. Two Earth’s gravity field models named WHU_GOCE_SC01S and WHU_GOCE_SC02S up to degree 180 are recovered from 61 days of GOCE data, the former is solved from T and Tzz, and the latter is solved from T and {Tzz-Txx-Tyy}. The results show that WHU_GOCE_SC02S model is more accurate than WHU_GOCE_SC01S model, and both of the models are more accurate than GOCE time-wise solution, and their total accuracy are most close to GOCE space-wise solution. |
| |
| Keywords: | spectral combination method Earth's gravity field satellite gravity gradient high-low satellite-to-sat-ellite tracking spherical harmonic analysis GOCE |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《测绘学报》浏览原始摘要信息 |
|
点击此处可从《测绘学报》下载全文 |
