GOCE Gravity Field Processing Strategy

A processing strategy and the corresponding software architecture for the processing of GOCE (Gravity field and steady-state Ocean Circulation Explorer) observables is presented and described, with the major objective to compute a high-accuracy, high-resolution spherical harmonic model of the Earth's gravity field. The combination of two numerical solution strategies, i.e. the rigorous solution of the corresponding large normal equation systems applying parallel processing (on a PC cluster) as the core solver, and the fast semianalytic approach as a quick-look gravity field analysis (QL-GFA) tool, is proposed. Such a method fusion benefits from the advantages of the individual components: the rigorous inversion of the system providing also the full variance-covariance information, and the quickness enabling the consecutive production of intermediate gravity field solutions, for the purpose to analyse partial and incomplete data sets and to derive a diagnosis of the performance of the GOCE measurement system. The functionality and operability of the individual components are demonstrated in the framework of a closed loop simulation, which is based on a realistic mission scenario both in terms of the orbit configuration and the coloured measuring noise. Special concern is given to the accuracy of the recovered coefficients, the numerical behaviour, the required computing time, and the particular role of the individual modules within the processing chain. In the case of the core solver, it is demonstrated that the assembling and rigorous solution of large normal equation systems can be handled by using Beowulf clusters within a reasonable computing time. The application of the quick-look tool to partial data sets with short-term data gaps is demonstrated on the basis of several case studies. Additionally, the spectral analysis of the residuals of the adjustment is presented as a valuable tool for the verification of the noise characteristics of the GOCE gradiometer.     

引力位虚拟压缩恢复法

提出了一种将地球表面的引力位虚拟地压缩到地球内部的一个球体表面 ,进而求解在整个地球外部空间 (包括地球边界上 )的重力位场以及重力场的方法     

地球重力场与KBR系统频谱关系的建立与分析

以近极圆形轨道的SST-Ⅱ为研究目标，利用解析的方法分析卫星间精密测距与地球重力场的频谱关系，得出了一般情况下300km高度的SST，星间距离每增加100km，恢复能力提高约10阶次；对于500km卫星高度的SST，星间距离每增加100km，恢复能力提高约5阶次的结论。研究成果可以为我国发展SST探测地球重力场的卫星计划提供参考。     

用遗传算法反演地壳的变密度模型

用青藏高原布格重力异常资料 ,结合亚东 格尔木地学断面得到的Moho面结构 ,反演了青藏高原中部地壳内密度随深度变化的指数分布函数 ,试验得出地壳表层与地幔的密度差约为 - 0 .92 6 g·cm-3 ,地壳的平均密度值为 2 .75 0 g·cm-3 。     

利用现有重力场模型求定CHAMP卫星加速度计修正参数

CHAMP卫星加速度计数据的标定是通过确定其尺度因子和偏差参数来完成的.本文基于能量守恒方程,给出利用现有重力场模型标定CHAMP卫星加速度数据的基本原理和数学模型;提出相邻历元间差分算法,大大简化了观测方程,同时避免积分常量的计算.该算法既能同时解算尺度因子和偏差参数,也可任意求解其中之一.基于实测的CHAMP卫星加速度数据,利用EGM96模型和最新公布的EIGEN-2模型进行计算与比较,验证该方法的有效性.     

地球重力场、重力、重力梯度在三维直角坐标系中的表达式

现代卫星重力测量主要利用星载GPS接收机、加速度计、星载测距仪等来确定重力卫星的轨道 ,削弱非保守力的干扰 ,由此根据卫星的位置、速度及其变率来确定地球重力场。而上述GPS等星载仪器所提供的数据 ,包括卫星轨道坐标及其速率、扰动加速度、星间距离及其变率 ,都是以三维直角坐标 (x ,y ,z)的形式表示的 ,因此 ,地球重力场、重力和重力梯度在三维直角坐标系中的表达式在卫星重力解算中具有实际意义     

基于时空分析的贫困丘陵山区耕地变化机理研究

在地理信息系统技术的支持下 ,利用耕地面积变化时间序列模型、耕地动态度模型、耕地重心变化模型等 ,对湖北省咸宁市耕地的时间变化和空间变化特征进行了定量的研究 ,并应用主成分分析法 ,选择 2 3个因素对其驱动因子进行了相关分析。结果表明 ,耕地变化主要受经济因子、人口、房地产政策及耕地开发强度的影响     

The gravity field and GGOS

The gravity field of the earth is a natural element of the Global Geodetic Observing System (GGOS). Gravity field quantities are like spatial geodetic observations of potential very high accuracy, with measurements, currently at part-per-billion (ppb) accuracy, but gravity field quantities are also unique as they can be globally represented by harmonic functions (long-wavelength geopotential model primarily from satellite gravity field missions), or based on point sampling (airborne and in situ absolute and superconducting gravimetry). From a GGOS global perspective, one of the main challenges is to ensure the consistency of the global and regional geopotential and geoid models, and the temporal changes of the gravity field at large spatial scales. The International Gravity Field Service, an umbrella “level-2” IAG service (incorporating the International Gravity Bureau, International Geoid Service, International Center for Earth Tides, International Center for Global Earth models, and other future new services for, e.g., digital terrain models), would be a natural key element contributing to GGOS. Major parts of the work of the services would, however, remain complementary to the GGOS contributions, which focus on the long-wavelength components of the geopotential and its temporal variations, the consistent procedures for regional data processing in a unified vertical datum and Terrestrial Reference Frame, and the ensuring validations of long-wavelength gravity field data products.