Improved modelling of non-tidal mass variations for optimized gravity field analysis

改进了非潮汐质量变化的建模，以优化重力场分析

• 批准号: 192012918
• 负责人: Dr. Henryk Dobslaw
• 金额: --
• 依托单位: Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum (GFZ)
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2013-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/192012918?language=en
• 关键词: Improved; modelling; non; tidal; mass

High-frequency mass variations cannot be measured adequately from space due to undersampling. They are removed from the measurements beforehand using geophysical models (de-aliasing). Any model error fully propagates into the final gravity field results. Within the IDEAL-GRACE project a procedure has been successfully developed to take atmospheric and oceanic uncertainties into account. The work proposed aims in the improved modeling of non-tidal short-term mass variations (ocean, atmosphere and hydrology) and their uncertainties in order to optimize GRACE, GOCE and next generation gravity field data analysis. In particular the expected results are: (1) Improved geophysical models of global mass variations specifically related to long-term stability and standards applied in these models. (2) Studies on the significance of the use of hydrology models and/or GRACE daily solutions for de-aliasing. (3) Generating a time series of refined de-aliasing coefficients. This includes global solutions to be applied for standard gravity field analysis as well as regional refinements needed by other projects of SPP. (4) Review, extension, speed up of de-aliasing and error-propagation software developed in the IDEAL-GRACE project. Results of IMPLY will lead to improved modelling of high frequency time-variable mass variations and their uncertainties. This not only drives the performance of current gravity field missions, but also is one of the main issues to be solved for next-generation gravity field missions with significantly improved observation accuracy.

由于采样不足，无法从空间充分测量高频质量变化。使用地球物理模型（去混叠）预先将它们从测量中去除。任何模型误差都会完全传播到最终的重力场结果中。在IDEAL-GRACE项目中，成功地制定了一个程序，将大气和海洋的不确定性考虑在内。拟议的工作旨在改进非潮汐短期质量变化（海洋，大气和水文）及其不确定性的建模，以优化GRACE，GOCE和下一代重力场数据分析。特别是预期的结果是：（1）改进全球质量变化的地球物理模型，特别是与长期稳定性和标准适用于这些模型。(2)研究使用水文模型和/或GRACE每日解进行去混叠的重要性。(3)生成细化的去混叠系数的时间序列。这包括用于标准重力场分析的全球解决方案以及SPP其他项目所需的区域改进。(4)评审、扩展、加速IDEAL-GRACE项目中开发的去混叠和误差传播软件。IMPERT的结果将导致改进高频时变质量变化及其不确定性的建模。这不仅推动了当前重力场任务的性能，而且也是下一代重力场任务需要解决的主要问题之一，其观测精度将大大提高。