项目基于目前国内外地球内核科学前沿，提出系统研究内核径向结构的计划，为未来基于多数据源的内核一维径向各向异性起始模型的确立提供参考。地震学家已经确定内核是各向异性的，但其结构细节仍存在分歧。内核顶部的径向各向异性的证明可以帮助我们区分现有的动力学模型，从而加深我们对内核动力学和凝固过程的理解。内核边界密度差对于我们了解地磁场的产生至关重要。对内核敏感的简正模携带了内核重要的地球物理信息（地震波波速、密度），其中心频率的偏移对于揭示内核径向各向异性结构及介质参数的分布具有重要参考价值。本研究旨在从全球超导重力仪提取简正模中心频率，对地球内核径向各向异性和介质参数进行反演，引进变维数贝叶斯算法并结合传统的最小二乘法，进一步完善内核径向结构计算模型，精密确定简正模频率，给出基于简正模数据集的内核一维径向结构参考模型，探讨地球内核顶部和内内核两个特殊区域的Q值、径向各向异性和介质参数的变化特征。

Based on the scientific frontier of Earth's inner core in China and foreign countries, a plan to investigate the inner core's radial structure systematically is put up in the project. This will provide a reference for the establishment of the one-dimensional radial anisotropy starting model of the inner core based on multiple dataset in the future. Seismologists have established that the inner core is seismically anisotropic, but ambiguities remain in the details of its structure. Proof of radial anisotropy in the top of the inner core can help us discriminate between existing dynamic models and thereby improve our understanding of inner core dynamics and solidification processes. Knowledge of the density contrast across this inner core boundary is crucial to our understanding of the generation of the Earth’s magnetic field. The modes which are sensitive to inner core structure can bring important information of inner core's physical properties such as seismic wave velocity and density. The investigation on central frequencies of normal modes has important reference value for the revel of inner core's radial anisotropy and the distribution of medium parameters. In this project, the central frequencies of normal modes will be extracted from global superconducting gravimeters to inverse the radial anisotropy and medium parameters of inner core. By involving Transdimensional Bayesian method and using traditional least square method, the normal mode frequencies will be precisely estimated based on improved calculation model. Then, one-dimensional radial structure reference model of inner core will be given based on normal mode dataset. The variation characteristics of Q value, radial anisotropy and the medium parameters in inner core will be discussed, especially in the top inner core and the innermost inner core.