Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100776
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorChen, Qen_US
dc.creatorShen, Yen_US
dc.creatorZhang, Xen_US
dc.creatorChen, Wen_US
dc.creatorXu, Hen_US
dc.date.accessioned2023-08-11T03:13:23Z-
dc.date.available2023-08-11T03:13:23Z-
dc.identifier.issn1001-1595en_US
dc.identifier.urihttp://hdl.handle.net/10397/100776-
dc.language.isozhen_US
dc.publisher科学出版社en_US
dc.rights© 2016 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。en_US
dc.rights© 2016 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.en_US
dc.subjectDynamic approachen_US
dc.subjectGRACE static gravity fielden_US
dc.subjectLinearizationen_US
dc.subjectRegularizationen_US
dc.titleGRACE data-based high accuracy global static earth's gravity field modelen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle in Traditional Chinese: 基於GRACE衛星資料的高精度全球靜態重力場模型en_US
dc.description.otherinformationAuthor name used in this publication: 陈秋杰en_US
dc.description.otherinformationAuthor name used in this publication: 沈云中en_US
dc.description.otherinformationAuthor name used in this publication: 张兴福en_US
dc.description.otherinformationAuthor name used in this publication: 陈武en_US
dc.description.otherinformationAuthor name used in this publication: 许厚泽en_US
dc.identifier.spage396en_US
dc.identifier.epage403en_US
dc.identifier.volume45en_US
dc.identifier.issue4en_US
dc.identifier.doi10.11947/j.AGCS.2016.20150422en_US
dcterms.abstractTo recover the highly accurate static earth's gravity field by using GRACE satellite data is one of the hot topics in geodesy. Since linearization errors of dynamic approach quickly increase when extending satellite arc length, we established a modified dynamic approach for processing GRACE orbit and range-rate measurements in this paper, which treated orbit observations of the twin GRACE satellites as approximate values for linearization. Using the GRACE data spanning the period Jan. 2003 to Dec. 2010, containing satellite attitudes, orbits, range-rate, and non-conservative forces, we developed two global static gravity field models. One is the unconstrained solution called Tongji-Dyn01s complete to degree and order 180; the other one is the Tongji-Dyn01k model computed by using Kaula constraint. The comparisons between our models and those latest GRACE-only models (including the AIUB-GRACE03, the GGM05S, the ITSG-Grace2014k and the Tongji-GRACE01) published by different international groups, and the external validations with marine gravity anomalies from DTU13 product and height anomalies from GPS/levelling data, were performed in this study. The results demonstrate that the Tongji-Dyn01s has the same accuracy level with those of the latest GRACE-only models, while the Tongji-Dyn01k model is closer to the EIGEN6C2 than the other GRACE-only models as a whole.en_US
dcterms.abstract应用GRACE卫星数据反演高精度静态地球重力场是大地测量学界的热点之一。考虑到经典动力学法线性化误差随弧长拉长而迅速增长,本文以GRACE卫星轨道观测值为初值的线性化方法,建立了应用GRACE卫星轨道和星间距离变率反演地球重力场的改进动力学法理论模型。利用2003年1月至2010年12月的GRACE卫星姿态、轨道、星间距离变率和非保守力加速度等观测数据,解算了一个180阶次的无约束全球静态重力场模型Tongji-Dyn01s和一个采用Kaula规则约束的全球重力场模型Tongji-Dyn01k。与国际不同机构最新发布的纯GRACE数据解算的重力场模型(包括AIUB-GRACE03S、GGM05S、ITSG-Grace2014k和Tongji-GRACE01)进行比较,并利用DTU13海洋重力异常和GPS/水准高程异常进行外部检核,结果表明,Tongji-Dyn01s与国际最新模型精度处于同一水平,然而Tongji-Dyn01k模型总体上更加靠近EIGEN6C2重力场模型。en_US
dcterms.accessRightsopen accessen_US
dcterms.alternative基于GRACE卫星数据的高精度全球静态重力场模型en_US
dcterms.bibliographicCitation測繪学报 (Acta geodetica et cartographica sinica), Apr. 2016, v. 45, no. 4, p. 396-403en_US
dcterms.isPartOf測繪学报 (Acta geodetica et cartographica sinica)en_US
dcterms.issued2016-04-
dc.identifier.scopus2-s2.0-84969248983-
dc.description.validate202305 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberLSGI-0452-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Basic Research Program of China; National Natural Science Foundation of China; State Key Laboratory of Geodesy and Earth's Dynamics; State Key Laboratory of Geo-information Engineeringen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6643913-
dc.description.oaCategoryVoR alloweden_US
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