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.

地球重力场的地球取向参数（EOP）和低度谐波系数是对整体地球动力学过程描述的基本大地测量贡献。尽管这些时间变化的参数是通过惯性的地球张量在物理上连接的，但分别得出相关时间序列仍然是常见的实践。这主要是由于使用中的独立空间地理观察技术（EOP与重力场卫星任务的几何技术）。针对高精度和身体一致性，相互验证和共同分析数据是必不可少的。因此，该项目的最终目标是为EOP和重力场兼容性得出可靠的时间序列。从最近的卫星任务中使用并以高度一致的方式使用和合并所有可用的相关数据。为此，将评估目前的不一致性。将开发和推荐用于数据级别参数时间序列组合的适当统计方法。对于模型级别的EOP和重力场数据的一致组合，该项目的结果特别感兴趣。

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

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

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