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Global Surface Mass Variations from Continuous GPS Observations and Satellite Altimetry Data
文献类型：期刊论文
| 作者 | Zhang, Xinggang1; Jin, Shuanggen2; Lu, Xiaochun1
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017-10-01 |
| 卷号 | 9期号:10页码:26 |
| 关键词 | GNSS satellite altimetry time-varying gravity field mass redistribution |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs9101000 |
| 英文摘要 | The Gravity Recovery and Climate Experiment (GRACE) mission is able to observe the global large-scale mass and water cycle for the first time with unprecedented spatial and temporal resolution. However, no other time-varying gravity fields validate GRACE. Furthermore, the C-20 of GRACE is poor, and no GRACE data are available before 2002 and there will likely be a gap between the GRACE and GRACE-FOLLOW-ON mission. To compensate for GRACE's shortcomings, in this paper, we provide an alternative way to invert Earth's time-varying gravity field, using a priori degree variance as a constraint on amplitudes of Stoke's coefficients up to degree and order 60, by combining continuous GPS coordinate time series and satellite altimetry (SA) mean sea level anomaly data from January 2003 to December 2012. Analysis results show that our estimated zonal low-degree gravity coefficients agree well with those of GRACE, and large-scale mass distributions are also investigated and assessed. It was clear that our method effectively detected global large-scale mass changes, which is consistent with GRACE observations and the GLDAS model, revealing the minimums of annual water cycle in the Amazon in September and October. The global mean mass uncertainty of our solution is about two times larger than that of GRACE after applying a Gaussian spatial filter with a half wavelength at 500 km. The sensitivity analysis further shows that ground GPS observations dominate the lower-degree coefficients but fail to contribute to the higher-degree coefficients, while SA plays a complementary role at higher-degree coefficients. Consequently, a comparison in both the spherical harmonic and geographic domain confirms our global inversion for the time-varying gravity field from GPS and Satellite Altimetry. |
| WOS关键词 | SEA-LEVEL ; EARTHS OBLATENESS ; GEOCENTER MOTION ; GRAVITY-FIELD ; TIME-SERIES ; GRACE ; VARIABILITY ; REDISTRIBUTION ; INVERSION |
| 资助项目 | Chinese Academy of Sciences (CAS)[29Y607YR000103] ; Chinese Academy of Sciences, Russia[2BY711HZ000101] ; Chinese Academy of Sciences, Ukraine[2BY711HZ000101] ; National Natural Science Foundation of China (NSFC)[11373059] ; National Natural Science Foundation of China (NSFC)[61501430] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000414650600030 |
| 出版者 | MDPI AG |
| 资助机构 | Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences, Russia ; Chinese Academy of Sciences, Russia ; Chinese Academy of Sciences, Ukraine ; Chinese Academy of Sciences, Ukraine ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences, Russia ; Chinese Academy of Sciences, Russia ; Chinese Academy of Sciences, Ukraine ; Chinese Academy of Sciences, Ukraine ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences, Russia ; Chinese Academy of Sciences, Russia ; Chinese Academy of Sciences, Ukraine ; Chinese Academy of Sciences, Ukraine ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences, Russia ; Chinese Academy of Sciences, Russia ; Chinese Academy of Sciences, Ukraine ; Chinese Academy of Sciences, Ukraine ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) |
| 源URL | [http://210.72.145.45/handle/361003/11465]  |
| 专题 | 中国科学院国家授时中心 |
| 通讯作者 | Zhang, Xinggang; Jin, Shuanggen |
| 作者单位 | 1.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Shaanxi, Peoples R China 2.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xinggang,Jin, Shuanggen,Lu, Xiaochun. Global Surface Mass Variations from Continuous GPS Observations and Satellite Altimetry Data[J]. REMOTE SENSING,2017,9(10):26. |
| APA | Zhang, Xinggang,Jin, Shuanggen,&Lu, Xiaochun.(2017).Global Surface Mass Variations from Continuous GPS Observations and Satellite Altimetry Data.REMOTE SENSING,9(10),26. |
| MLA | Zhang, Xinggang,et al."Global Surface Mass Variations from Continuous GPS Observations and Satellite Altimetry Data".REMOTE SENSING 9.10(2017):26. |
入库方式： OAI收割
来源：国家授时中心
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