Temporal And Spatial Multiscale Assessment of mass transport by combination of Gravity Observations from GRACE and terrestrial stations

“全球地球动力学项目”（GGP）的超导重力仪（SG）网络与重复的绝对重力测量和永久GPS站的数据相结合，为补充GRACE卫星任务产生的重力场变化提供了独特的机会。由于来自地面观测以及GPS或卫星的重力数据包含有关质量传递特别是水文质量现象的宝贵信息，因此可用于评估和评价水文模型，从而有助于将水文影响与重力信号分离开来。由于重力数据的时空分辨率不同，数据集的组合可以被认为是检索最多信息的最直接的方法。为了使数据集的组合一致，必须弥合地面数据和卫星重力测量之间的差距。一项主要任务将是分离地面数据中的局部和区域影响。该项目的成果将有助于利用重力卫星数据来评价和加强区域到大尺度的质量传递模型。这项研究将首先集中在欧洲，在那里它受益于密集和长期的观测网络，这涵盖了GRACE任务期间。在本研究中为地面和卫星数据的一致结合而制订的程序可应用于世界其他地点。

The network of superconducting gravimeters (SG) of the `Global Geodynamics Project¿ (GGP) in combination with repeated absolute gravity measurements and data from permanent GPS stations offers the unique opportunity to supplement the gravity field variations derived from the GRACE satellite mission. As the gravity data either from terrestrial observations together with GPS or satellites contain valuable information on mass transfers esp. hydrological mass phenomena, it can be used for the assessment and evaluation of hydrological models which in turn can help to separate hydrological influences from the gravity signals. Because of the different spatial and temporal resolution of the gravity data a combination of the data sets can be considered as the most straight forward approach to retrieve a maximum of information. For a consistent combination of the data sets this gap between terrestrial data and gravity measurements from satellites has to be bridged. One major task will be the separation of local and regional influences in the terrestrial data. The outcome of the project will help in the utilisation of gravity satellite data for the evaluation and enhancement of regional to large scale models of mass transfers. The study will first focus on Europe where it benefits from the dense and long-term observation networks, which covers the period of the GRACE mission. The procedure to be developed in this study for a consistent combination of terrestrial and satellite data can be applied to other locations worldwide.