Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Chinese Journal of Geophysics》 2016-09
Add to Favorite Get Latest Update

Thermosphere mass density derivation using on-board accelerometer observations from GRACE satellites

LI Wen-Wen;LI Min;SHI Chuang;ZHAO Qi-Le;Research Center of GNSS,Wuhan University;Collaborative Innovation Center for Geospatial Technology;  
This paper mainly discusses the thermosphere mass density derivation using the GRACE on-board accelerometer data.The precision of the accelerometer calibration as well as the satellite aerodynamics model have significant impact on the derivation.In this paper the accelerometer calibration is realized through precise orbit determination(POD)process by using the on-board GPS and accelerometer data,while the aerodynamic coefficients of the GRACE twin satellites are calculated using the Sentman equations.The GRACE accelerometer data during year2007—2009are processed and the densities along the satellites′orbit during this period areobtained.To assess the precision of the accelerometer-derived densities,densities from the GRACE-A satellite during 2007—2009are compared to the results from Doornbos(2012),as well as the empirical NRLMSISE00 and HASDM models.The results indicate that the densities from this paper are systematically about 8%larger than those from Doornbos(2012),while the STD between these two independent dataset is under 10%.Their differences are mainly attributed to the different strategies adopted for accelerometer calibration and aerodynamic coefficients calculation.The accelerometer-derived densities in this paper are systematically larger than the HASDM model with a bias about 4%,while the densities from Doornbos are 4%~7%lower.The STDs of the derived densities and the results of Doornbos with respect to HASDM model are both around 30%.The bias and STD between the accelerometer-derived densities and the empirical NRLMSISE00 model are 30%~40% and around 30%,respectively.
【Fund】: 国家自然科学基金项目(41274049 41375041 41274049 41375041 41231174);; 国家高技术研究发展计划(2014AA123101);; 地球空间环境与大地测量教育部重点实验室开放研究基金(15-02-05)资助
【CateGory Index】: P228;P353
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved