联合卫星重力观测数据和区域地球物理信息直接反演高精度、高时空分辨率局部地表质量变化，是当前卫星重力学研究的前沿和热点问题。本项目以反演高精度、高时空分辨率的局部地表质量变化为目标，结合区域构造运动特征和先验地球物理模型信息，深入研究卫星重力测量反演局部地表质量变化的径向基函数方法、Slepian基函数方法和局部地表质量变化参数最优求解的时空约束方法及Kalman滤波方法，并研制满足工程化应用的局部地表质量变化反演软件系统。预期研究成果不仅可为GRACE及后续GRACE-Follow on计划获取高精度、高时空分辨率的局部地表质量变化提供理论模型、实用算法及软件平台，同时可为我国应对水资源短缺、极端气候变化和重大自然灾害等问题提供科学依据和技术支持，具有重要的科学意义和应用价值。

Inversion of regional surface mass variations with high accuracy and high spatial-temporal resolution from satellite gravity observations and regional geophysical data, is one of the research frontiers and hot issues in satellite gravimetry. This project aims at determining high accuracy and high spatial-temporal resolution regional surface mass variations based on the method of spherical basis functions, which are combined with regional tectonic features and geophysical models. Firstly, the theory and methods of radial basis functions and Slepian basis functions for determining the regional surface mass variations will be systematically studied. Secondly, the data processing methods to obtain the optimal solution based on the spatial and temporal constraints and Kalman filtering will be deeply investigated. Finally, the software system for recovering regional surface mass variations will be developed in line with engineering applications. The anticipated results will provide efficient data processing methods and software platform for determining high accuracy and high spatial-temporal resolution regional surface mass variations from GRACE and future GRACE Follow-on missions. Moreover, it has great scientific significance and practical value for us to deal with water shortages, extreme climate changes, natural disasters and other environmental problems.