| 利用解析法有效快速估计将来GRACE Follow-On地球重力场的精度 |
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| 引用本文： | 郑伟,许厚泽,钟敏,员美娟,周旭华,彭碧波.利用解析法有效快速估计将来GRACE Follow-On地球重力场的精度[J].地球物理学报,2010,53(4):796-806. |
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| 作者姓名： | 郑伟 许厚泽 钟敏 员美娟 周旭华 彭碧波 |
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| 作者单位： | 1.中国科学院测量与地球物理研究所动力大地测量学重点实验室， 武汉 430077;2.日本京都大学防灾研究所，京都 611-0011;3.武汉科技大学应用物理系，武汉 430081 |
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| 基金项目： | 中国科学院知识创新工程重要方向项目（KZCX2-YW-143）, 国家高技术研究发展计划(863)（2009AA12Z138）, 国家自然科学基金（40974045）, 中国科学院动力大地测量学重点实验室开放基金（L09-14）, 湖北省自然科学基金（2009CDB187）和日本JSPS基盘研究项目（B19340129）联合资助. |
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| 摘 要： | 本文首次利用解析法有效快速估计了将来GRACE（Gravity Recovery and Climate Experiment） Follow-On地球重力场的精度. 第一，基于功率谱原理分别建立了新的GRACE Follow-On卫星激光干涉星间测量系统星间速度、GPS接收机轨道位置和轨道速度以及加速度计非保守力误差影响累计大地水准面的单独和联合解析误差模型. 第二，利用提出的GRACE卫星关键载荷匹配精度指标和美国喷气推进实验室（JPL）公布的GRACE Level 1B实测精度指标的一致性，以及估计的GRACE累计大地水准面精度和德国波兹坦地学研究中心（GFZ）公布的EIGEN-GRACE02S地球重力场模型实测精度的符合性，验证了本文建立的解析误差模型是可靠的. 第三，论证了GRACE Follow-On卫星不同关键载荷匹配精度指标和轨道高度对地球重力场精度的影响. 在360阶处，利用轨道高度250 km、星间距离50 km、星间速度误差1×10-9m/s、轨道位置误差3×10-5m、轨道速度误差3×10-8m/s和非保守力误差3×10-13m/s2，基于联合解析误差模型估计累计大地水准面的精度为1.231×10-1 m. 本文的研究不仅为当前GRACE和将来GRACE Follow-On地球重力场精度的有效快速确定提供了理论基础和计算保证，同时对国际将来GRAIL（Gravity Recovery and Interior Laboratory）月球卫星重力测量计划的成功实施具有重要的参考意义.
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| 关 键 词： | GRACE Follow-On 解析法 误差模型 卫星跟踪卫星模式 地球重力场 |
| 收稿时间： | 2009-11-18 |
| 修稿时间： | 2010-03-04 |
Efficient and rapid estimation of the accuracy of future GRACE Follow-On Earth's gravitational field using the analytic method |
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| ZHENG Wei,HU Hou-Ze,ZHONG Min,YUAN Mei-Juan,ZHOU Xu-Hua,BANG Bi-Bei.Efficient and rapid estimation of the accuracy of future GRACE Follow-On Earth''s gravitational field using the analytic method[J].Chinese Journal of Geophysics,2010,53(4):796-806. |
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| Authors: | ZHENG Wei HU Hou-Ze ZHONG Min YUAN Mei-Juan ZHOU Xu-Hua BANG Bi-Bei |
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| Affiliation: | 1.Key Laboratory of Dynamic Geodesy, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China;2.Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto 611-0011, Japan;3.Department of Applied Physics, Wuhan University of Science and Technology, Wuhan 430081, China |
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| Abstract: | The accuracy of Earth′s gravitational field from the Gravity Recovery and Climate Experiment (GRACE) Follow-On satellite mission is efficiently and rapidly estimated for the first time based on the analytic method. Firstly, the new single and combined analytic error models of cumulative geoid height influenced by four error sources including the intersatellite range-rate of interferometric laser ranging system, orbital position and velocity of GPS receiver and nonconservative force of accelerometer from GRACE Follow-On satellites are established using the power spectrum principle, respectively. Secondly, the dependability of analytic error model is validated according to the consistency of the matching accuracy indexes of GRACE key payloads from the single analytic error models and the GRACE Level 1B provided by the American Jet Propulsion Laboratory (JPL), and the conformity of GRACE cumulative geoid height errors from the combined analytic error model and the Earth′s gravitational field model EIGEN-GRACE02S released by the German GeoForschungsZentrum Potsdam (GFZ). Finally, the influences of different matching accuracy indexes of key payloads and orbital altitudes from GRACE Follow-On satellites on the accuracies of Earth′s gravitational field are demonstrated contrastively. At the 360 degree, cumulative geoid height error is 1.231×10-1 m using combined analytic error model based on orbital altitude 250 km, intersatellite range 50 km, intersatellite range-rate error 1×10-9 m/s, orbital position error 3×10-5 m, orbital velocity error 3×10-8 m/s and nonconservative force error 3×10-13 m/s2. This work not only can provide the theoretical foundation and calculational guarantee for the efficient and rapid determination of the accuracies of current GRACE and future GRACE Follow-On Earth′s gravitational field, but also has some reference significance to the successful execution of the future Gravity Recovery and Interior Laboratory (GRAIL) lunar satellite gravity exploration mission. |
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| Keywords: | GRACE Follow-On Analytic method Error model Satellite-to-satellite tracking model Earth&prime s gravitational field |
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