Combined analysis and validation of Earth rotation models and observations

地球自转模型和观测的综合分析和验证

• 批准号: 5456304
• 负责人: Professor Dr.-Ing. Hansjörg Kutterer
• 金额: --
• 依托单位: Deutsches Geodätisches Forschungsinstitut
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5456304?language=en
• 关键词: Combined; analysis; validation; Earth; rotation

Earth orientation parameters (EOP) and low-degree harmonic coefficients of the gravity field of the Earth are fundamental geodetic contributions to the description of global geodynamic processes. Although these time-variable parameters are physically connected by the Earth¿s tensor of inertia, it is still common practice to derive the respective time series separately. This is mainly due to the independent space-geodetic observation techniques in use (geometric techniques for the EOP vs. gravity field satellite missions). Aiming at high precision and physical consistency it is indispensable to mutually validate and to jointly analyze the data. Hence, the final goal of this project is to derive reliable time series for EOP and gravity field coefficients from recent satellite missions by using and merging all available relevant data in a highly consistent way. For this purpose the present amount of inconsistency will be assessed. A proper statistical methodology for the combination of the parameter time series on the data level will be developed and recommended. The results of this project are of particular interest for the consistent combination of EOP and gravity field data on the model level.

地球定向参数（EOP）和地球重力场的低阶调和系数是描述全球地球动力学过程的基本大地测量参数。虽然这些时变参数在物理上是由地球的惯性张量联系在一起的，但通常的做法仍然是分别推导出各自的时间序列。这主要是由于使用了独立的空间大地测量观测技术（EOP与重力场卫星飞行任务的几何技术）。为了达到高精度和物理一致性，必须对数据进行相互验证和联合分析。因此，该项目的最终目标是通过以高度一致的方式使用和合并所有可用的相关数据，从最近的卫星飞行任务中获得可靠的EOP和重力场系数时间序列。为此，将评估目前的不一致程度。将制定和推荐一种适当的统计方法，用于在数据层面上组合参数时间序列。这个项目的结果是特别感兴趣的EOP和重力场数据的一致组合的模型水平。

项目成果

Recursive Adjustment Approach for the Estimation of Physical Earth Parameters from Polar Motion

极移估计物理地球参数的递归调整方法

• DOI: 10.1007/978-3-642-37222-3_60
• 发表时间: 2014
• 作者: Kirschner

Determination of the Earth's pole tide Love number k2 from observations of polar motion using an adaptive Kalman filter approach

• DOI: 10.1029/2012jb009296
• 发表时间: 2012-09
• 期刊: Journal of Geophysical Research
• 作者: F. Seitz;S. Kirschner;D. Neubersch

Combination of gravimetric and altimetric space observations for estimating oceanic polar motion excitations

结合重力和高度空间观测来估计海洋极移激励

• DOI: 10.1029/2012jc007915
• 发表时间: 2012
• 期刊: Journal of Geophysical Research
• 作者: Göttl;M. Schmidt;R. Heinkelmann;R. Savcenko
• 通讯作者: R. Savcenko

Towards the combination of data sets from various observation techniques

结合各种观察技术的数据集

• DOI: 10.1007/978-3-319-10828-5_6
• 发表时间: 2011
• 作者: Schmidt;F. Göttl;R. Heinkelmann
• 通讯作者: R. Heinkelmann