中文摘要：

摘要利用GRACE重力卫星反演陆地地球物理变化信息时，通常需要对位系数进行截断和空间平均滤波等处理，这将导致监测信息较实际值“缩减”一定的比例，从而造成反演结果可信度降低．针对此，本文提出了一种附加GPS时序约束的GRACE反演陆地水文信息修正法．利用2003—2015年RL05一GRACE月重力场数据，选取前60阶采用扇形滤波与去相关滤波组合法，获得了加州区域由于陆地水储量及地表荷载变化引起的垂向形变时间序列，并利用同时间段多个GPS测站资料获得了同尺度u方向形变时间序列，采用时频分析技术对比分析了两类垂向形变时间序列的振幅与季节性特征，获取了GRACE位系数处理中存在的“缩减系数”，基于此修正并精化了GRACE反演水文变化信息，该信息能有效反映出研究区域较真实的陆地水文变化信息．

英文摘要：

We usually need to truncate and filter the GRACE （Gravity Recovery and Climate Experiment） gravity coefficients that be used to estimate the changes of geophysical signal. However, it will result in reducing the true value. To solve this problem, in this paper we develop a method that additional GPS time series constraint.Comparisons between GRACE-derived loading deformation and GPS monitoring results in seasonal and time-frequency information reveal proportion of these results.We assume the proportion result from dispose of SH （GRACE gravity coefficients） and called the reduction factor.Here we use 13 years（2003-2015） of data form the GRACE mission and PBO（Plate Boundary Observation）to analysis the proportion.Using the proportion derived terrestrial water storage of the Central Valley in the USA,we obtain reasonable results that hydrological information.