共查询到19条相似文献，搜索用时 906 毫秒
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重力恢复和气候实验(gravity recovery and climate experiment,GRACE)任务受限于卫星的低轨极地轨道性质和编队模式,确定的重力场模型C20项存在不足。与之相比,全球定位系统(global positioning system,GPS)卫星为倾斜轨道,卫星数量多,将GPS卫星的精密轨道数据作为伪观测值,使用动力学方法进行C20项确定的可行性研究。结果显示,2017年C20项时间序列的平均值比GRACE更接近卫星激光测距(satellite laser ranging,SLR)的结果,且不存在明显的约160 d的周期信号,表明利用GPS卫星解算C20项具有可行性。同时估计了光压模型P1参数,与GAMIT软件解算结果接近,进一步验证C20项解算结果的可靠性。 相似文献
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根据UTCSR发布的GRACE卫星资料,计算了汶川及其周边地区的卫星时变重力场,并利用小波多尺度分析方法对卫星重力场进行分解,得到了反映不同深度的重力场细节和逼近。通过研究各个细节和逼近成分的重力场变化,结合区域构造运动的特点,对GRACE观测的时变重力场及汶川地震的动力机制进行了初步解释和讨论。结果表明,4阶细节和4阶逼近较好地揭示了汶川地区构造形变和深部物质流动引起的重力变化,而且这种震前重力变化特征满足地震孕育发生的条件。 相似文献
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《武汉大学学报(信息科学版)》2016,(4)
重力场是反映地球介质密度变化和在各种环境(固体地球潮汐、内部热流、固体和液体之间质量的交换、表面负荷和地震构造运动等)下动力学特征的最基本和最直接的物理量。GRACE(Gravity Recovery and Climate Experiment)卫星作为探测全球重力场的工具已经为科研工作者提供了超过10a的全球时变重力场数据。由于GRACE数据存在固有误差,GRACE数据产品需要进行后处理对局部重力场进行研究。回顾整理了GRACE数据后处理中的处理方法,包括高斯滤波法及非各向同性滤波法,位系数去相关法,主成分分析法,小波分解法,Slepian方法,以及顾及先验信息的改进算法等,并对GRACE后处理算法的后续改进和发展进行了展望。 相似文献
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GRACE模式确定重力场的关键技术探讨 总被引：11，自引：2，他引：11
美德合作的GRACE计划可以利用卫星跟踪卫星技术 (SST)获取有关地球重力场、大气和海洋等方面有史以来最为全面的信息。它们为广泛开展相关领域的科学研究提供了前所未有的丰富资料。其中 ,GRACE提供的稳态的和时变的地球重力场数据可以反映地球内部构造、地表水体运动等地球物理信息 ,是GRACE目标的最重要的方面。本文深入探讨了GRACE卫星有效载荷对于研究地球重力场的贡献 ,并给出相应结论。 相似文献
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利用GRACE反演长江流域水储量变化 总被引：3，自引：0，他引：3
利用GRACE重力卫星2003年1月～2006年9月共计43个月的时变重力场数据,反演了长江流域水储量的变化.结果显示,基于GRACE数据的反演结果和CPC模型符合得相当好;若考虑低阶项的影响,对GRACE的反演结果有很明显的改进. 相似文献
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《武汉大学学报(信息科学版)》2016,(8)
基于2003~2012年的GRACE卫星重力资料,采用最小二乘拟合的方法,构建了时变重力场统一模型IGG-TVG2013。该模型以球谐系数的形式表达,在考虑趋势项和周期项等经验参数的基础上,还考虑了加速度项和潮汐模型误差、大地震等因素的影响。将IGG-TVG2013模型与GRACE资料进行了比较分析,在全球92%以上的区域二者符合精度优于±1ugal;利用该模型外推预测了2013年1~6月的重力场变化,结果与GRACE实测数据符合较好。这表明IGG-TVG2013模型不但能较好地描述重力场的连续时空变化,而且具有一定的短期预测能力。 相似文献
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Statistically optimal estimation of Greenland Ice Sheet mass variations from GRACE monthly solutions using an improved mascon approach 总被引：1，自引：0，他引：1
We present an improved mascon approach to transform monthly spherical harmonic solutions based on GRACE satellite data into mass anomaly estimates in Greenland. The GRACE-based spherical harmonic coefficients are used to synthesize gravity anomalies at satellite altitude, which are then inverted into mass anomalies per mascon. The limited spectral content of the gravity anomalies is properly accounted for by applying a low-pass filter as part of the inversion procedure to make the functional model spectrally consistent with the data. The full error covariance matrices of the monthly GRACE solutions are properly propagated using the law of covariance propagation. Using numerical experiments, we demonstrate the importance of a proper data weighting and of the spectral consistency between functional model and data. The developed methodology is applied to process real GRACE level-2 data (CSR RL05). The obtained mass anomaly estimates are integrated over five drainage systems, as well as over entire Greenland. We find that the statistically optimal data weighting reduces random noise by 35–69%, depending on the drainage system. The obtained mass anomaly time-series are de-trended to eliminate the contribution of ice discharge and are compared with de-trended surface mass balance (SMB) time-series computed with the Regional Atmospheric Climate Model (RACMO 2.3). We show that when using a statistically optimal data weighting in GRACE data processing, the discrepancies between GRACE-based estimates of SMB and modelled SMB are reduced by 24–47%. 相似文献
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本文利用2002年4月至2010年10月的Lageos1和Lageos2两颗激光卫星观测数据、GRACE以及地球物理模型三种独立的方法计算地球低阶重力场系数J 的变化,根据大气压强数据计算 J 时分别按反变气压计（IB）和非反变气压计(NIB)两种假设进行计算。通过分析 J 的季节特性表明,大气在NIB假设下得到的周年振幅比在IB假设下得到的振幅大3倍左右,相位相差47°;大气和陆地水的质量变化对 J 周年变化的贡献占主导地位,海洋的影响最小;大气、海洋和陆地水得到 J 半年振幅和相位值与SLR得到的振幅和相位值吻合较差,尤其是在IB假设下大气得到的结果与SLR结果相差最大; SLR、GRACE和地球物理模型三种独立方法得到的 J 周年项之间吻合相对较好,GRACE得到的周年振幅比SLR得到的周年振幅大50%左右, SLR观测得到的 J 周年振幅介于在NIB和IB两种假设下地球物理模型得到的结果之间;GRACE与SLR得到的 J 半年项的振幅相同,在IB假设下AOW得到的 J 半年振幅和相位与SLR结果差异最大。 相似文献
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Decorrelated GRACE time-variable gravity solutions by GFZ,and their validation using a hydrological model 总被引：14，自引：6，他引：8
We have analyzed recent gravity recovery and climate experiment (GRACE) RL04 monthly gravity solutions, using a new decorrelating
post-processing approach. We find very good agreement with mass anomalies derived from a global hydrological model. The post-processed
GRACE solutions exhibit only little amplitude damping and an almost negligible phase shift and period distortion for relevant
hydrological basins. Furthermore, these post-processed GRACE solutions have been inspected in terms of data fit with respect
to the original inter-satellite ranging and to SLR and GPS observations. This kind of comparison is new. We find variations
of the data fit due to solution post-processing only within very narrow limits. This confirms our suspicion that GRACE data
do not firmly ‘pinpoint’ the standard unconstrained solutions. Regarding the original Kusche (J Geod 81:733–749, 2007) decorrelation
and smoothing method, a simplified (order-convolution) approach has been developed. This simplified approach allows to realize
a higher resolution—as necessary, e.g., for generating computed GRACE observations—and needs far less coefficients to be stored. 相似文献
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For science applications of the gravity recovery and climate experiment (GRACE) monthly solutions, the GRACE estimates of \(C_{20}\) (or \(J_{2}\)) are typically replaced by the value determined from satellite laser ranging (SLR) due to an unexpectedly strong, clearly non-geophysical, variation at a period of \(\sim \)160 days. This signal has sometimes been referred to as a tide-like variation since the period is close to the perturbation period on the GRACE orbits due to the spherical harmonic coefficient pair \(C_{22}/S_{22}\) of S2 ocean tide. Errors in the S2 tide model used in GRACE data processing could produce a significant perturbation to the GRACE orbits, but it cannot contribute to the \(\sim \)160-day signal appearing in \(C_{20}\). Since the dominant contribution to the GRACE estimate of \(C_{20}\) is from the global positioning system tracking data, a time series of 138 monthly solutions up to degree and order 10 (\(10\times 10\)) were derived along with estimates of ocean tide parameters up to degree 6 for eight major tides. The results show that the \(\sim \)160-day signal remains in the \(C_{20}\) time series. Consequently, the anomalous signal in GRACE \(C_{20}\) cannot be attributed to aliasing from the errors in the S2 tide. A preliminary analysis of the cross-track forces acting on GRACE and the cross-track component of the accelerometer data suggests that a temperature-dependent systematic error in the accelerometer data could be a cause. Because a wide variety of science applications relies on the replacement values for \(C_{20}\), it is essential that the SLR estimates are as reliable as possible. An ongoing concern has been the influence of higher degree even zonal terms on the SLR estimates of \(C_{20}\), since only \(C_{20}\) and \(C_{40}\) are currently estimated. To investigate whether a better separation between \(C_{20}\) and the higher-degree terms could be achieved, several combinations of additional SLR satellites were investigated. In addition, a series of monthly gravity field solutions (\(60\times 60\)) were estimated from a combination of GRACE and SLR data. The results indicate that the combination of GRACE and SLR data might benefit the resonant orders in the GRACE-derived gravity fields, but it appears to degrade the recovery of the \(C_{20}\) variations. In fact, the results suggest that the poorer recovery of \(C_{40}\) by GRACE, where the annual variation is significantly underestimated, may be affecting the estimates of \(C_{20}\). Consequently, it appears appropriate to continue using the SLR-based estimates of \(C_{20}\), and possibly also \(C_{40}\), to augment the existing GRACE mission. 相似文献
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为探究重力场恢复与气候实验(gravity recovery and climate experiment,GRACE)卫星与全球定位系统(global positioning system,GPS)两种独立技术获取的因陆地水储量变化引起的地壳垂向季节性位移的一致性,选取澳大利亚27个GPS站点5～10 a的高程时间序... 相似文献
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Seasonal global mean sea level change from satellite altimeter, GRACE, and geophysical models 总被引：2，自引：1，他引：2
J. L. Chen C. R. Wilson B. D. Tapley J. S. Famiglietti Matt Rodell 《Journal of Geodesy》2005,79(9):532-539
We estimate seasonal global mean sea level changes using different data resources, including sea level anomalies from satellite
radar altimetry, ocean temperature and salinity from the World Ocean Atlas 2001, time-variable gravity observations from the
Gravity Recovery and Climate Experiment (GRACE) mission, and terrestrial water storage and atmospheric water vapor changes
from the NASA global land data assimilation system and National Centers for Environmental Prediction reanalysis atmospheric
model. The results from all estimates are consistent in amplitude and phase at the annual period, in some cases with remarkably
good agreement. The results provide a good measure of average annual variation of water stored within atmospheric, land, and
ocean reservoirs. We examine how varied treatments of degree-2 and degree-1 spherical harmonics from GRACE, laser ranging,
and Earth rotation variations affect GRACE mean sea level change estimates. We also show that correcting the standard equilibrium
ocean pole tide correction for mass conservation is needed when using satellite altimeter data in global mean sea level studies.
These encouraging results indicate that is reasonable to consider estimating longer-term time series of water storage in these
reservoirs, as a way of tracking climate change. 相似文献
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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。 相似文献
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First GOCE gravity field models derived by three different approaches 总被引：28，自引：10，他引：18
Roland Pail Sean Bruinsma Federica Migliaccio Christoph F?rste Helmut Goiginger Wolf-Dieter Schuh Eduard H?ck Mirko Reguzzoni Jan Martin Brockmann Oleg Abrikosov Martin Veicherts Thomas Fecher Reinhard Mayrhofer Ina Krasbutter Fernando Sans�� Carl Christian Tscherning 《Journal of Geodesy》2011,85(11):819-843
Three gravity field models, parameterized in terms of spherical harmonic coefficients, have been computed from 71 days of GOCE (Gravity field and steady-state Ocean Circulation Explorer) orbit and gradiometer data by applying independent gravity field processing methods. These gravity models are one major output of the European Space Agency (ESA) project GOCE High-level Processing Facility (HPF). The processing philosophies and architectures of these three complementary methods are presented and discussed, emphasizing the specific features of the three approaches. The resulting GOCE gravity field models, representing the first models containing the novel measurement type of gravity gradiometry ever computed, are analysed and assessed in detail. Together with the coefficient estimates, full variance-covariance matrices provide error information about the coefficient solutions. A comparison with state-of-the-art GRACE and combined gravity field models reveals the additional contribution of GOCE based on only 71 days of data. Compared with combined gravity field models, large deviations appear in regions where the terrestrial gravity data are known to be of low accuracy. The GOCE performance, assessed against the GRACE-only model ITG-Grace2010s, becomes superior at degree 150, and beyond. GOCE provides significant additional information of the global Earth gravity field, with an accuracy of the 2-month GOCE gravity field models of 10?cm in terms of geoid heights, and 3?mGal in terms of gravity anomalies, globally at a resolution of 100?km (degree/order 200). 相似文献
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Bramha dutt Vishwakarma Kamal Jain Nico Sneeuw Balaji Devaraju 《Journal of the Indian Society of Remote Sensing》2013,41(3):687-695
Gravity Recovery And Climate Experiment (GRACE) satellites were launched on March 17 2002 to derive with unprecedented accuracy, estimates of the global high resolution model of the earth’s gravity field. Local gravity changes with change in mass or mass redistribution. The mass changes can be due to hydrological events, seismic events or postglacial rebound, majorly. GRACE is sensitive to changes at large spatial scale since the resolution of GRACE is 400 km. Hydrological activities over basins provide sufficient mass changes to be detected by GRACE. In this research paper the discussion would be about two major flooding events in India, one being the 2005 monsoon flooding in Mumbai and nearby states and other being flood experienced by Bihar in 2008. The GRACE data is in the form of matrix consisting spherical harmonic coefficients. These coefficients are processed to obtain mass changes in terms of equivalent water height at a spatial scale of 400 km. The strategy of analysis is also discussed which need to be followed depending upon limitations of GRACE observation and requirement of application, here in this case application is flood induced mass change detection. Time-series and residual plots are generated and they show the flooding events for the concerned area as outliers. Better visualisation is obtained by residual plot, if there is a trend or systematic behaviour in time-series. This work points towards the qualitative capability of GRACE to detect flooding events at large spatial scale. Quantitative analysis requires in-situ data over the period of GRACE which is not possible for the cases discussed here. 相似文献