Separation of mass signals by common inversion of gravimetric and geometric observations

通过重力和几何观测值的共同反演来分离质量信号

• 批准号: 30183776
• 负责人: Professor Dr.-Ing. Hermann Drewes
• 金额: --
• 依托单位: Deutsches Geodätisches Forschungsinstitut
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2008-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/30183776?language=en
• 关键词: Separation; mass; signals; common; inversion

The integral signals of mass variations observed by GRACE result, e.g., from atmospheric mass changes, ocean variability, variations in continental water storage, seasonal snow cover and ice volume changes. To identify and separate the contributions of each individual process is a fundamental requirement for understanding the procedure of mass transport. The present project will (i) analyse geophysical models which allow for the assessment of mass variations, (ii) derive the most appropriate functional models to describe these mass variations and (iii) estimate the parameters of these models by a common adjustment of all available gravimetric and geometric observations. The last step, an utmost rigorous combination of all precise space techniques, is necessary to account for the mutual interdependencies between observations and geophysical processes which are up to now often disregarded: seasonal mass variations are derived from GRACE data, but seasonal displacements of stations used for satellite tracking are not accounted for. Similar, the orbits of altimeter satellites refer to a reference system which does not include periodic variations, but altimetry is applied to derive such variations. Thus, parts of the mass variations identified today might be apparent effects due to these geometric effects. The present project aims to solve these inconsistencies by separating mass signals from a common inversion of gravimetric and geometric observations.

GRACE观测到的质量变化的积分信号，大气质量变化、海洋变化、大陆储水量变化、季节性积雪和冰量变化。识别和分离每个过程的贡献是理解质量输运过程的基本要求。本项目将（一）分析能够评估质量变化的地球物理模型，（二）推导出描述这些质量变化的最适当的功能模型，（三）通过对所有现有重力和几何观测进行共同调整来估计这些模型的参数。最后一步，所有精确的空间技术的最严格的组合，有必要考虑到观测和地球物理过程之间的相互依存关系，这是迄今为止经常被忽视的：季节性的质量变化来自GRACE数据，但用于卫星跟踪的台站的季节性位移没有考虑在内。类似地，高度计卫星的轨道是指不包括周期性变化的参考系，但高度测量被应用于推导这种变化。因此，今天确定的部分质量变化可能是由于这些几何效应引起的明显效应。本项目旨在通过从重力和几何观测的共同反演中分离质量信号来解决这些不一致性。