海平面对大气质量变化的时空响应是大气、海洋间相互作用的体现，是全球海平面变化研究及与其相关研究领域的一个重要科学问题。目前对该问题的研究都没有考虑到海洋和陆地（岛屿）之间的水质量交换，其主因是，以前不能准确获得海洋和陆地（岛屿）间的水质量交换数据。近几年，这一情况得到改观，应用GRACE卫星时变重力场数据，经过较好的数据后处理，已经可以获得比较可靠的海洋水质量变化数据-- 洋底压力数据。因此，应用GRACE洋底压力数据，来更准确地研究海平面对大气质量变化的时空响应，成为可能。本研究通过一种EOF重构方法，获取准确的洋底压力数据；再通过耦合SVD方法，获取大气质量、海平面、洋底压力等的共变信号，进而通过建模，从时频域和空域研究海平面对大气质量变化的响应特征，并评估典型气候涛动和风应力旋度对其影响，最终给出该响应对全球和区域海平面变化的影响，促进时变重力场和全球变化的相关研究。

The response of sea level to atmospheric mass change is the interaction between the atmosphere and ocean surface, which denotes a key scientific problem in the research of global sea level and other related research domains. Due to lack of accurate hydrological exchange data between ocean and land (island), the researches for the response of sea level to atmospheric mass change do not take the hydrological exchange data into account seriously till now. In recent years, this case has been changed indeed. By using GRACE temporal variation gravity data, we can acquire the more reliable ocean bottom pressure (OBP) data, i.e. the hydrological exchange data between ocean and land (island), through some useful post-processing data methods. Therefore, we have the chance to using GRACE OBP data to improve the research in response of sea level to the atmospheric mass change. We will use an EOF reconstruction method to acquire the accurate OBP data from GRACE first. Then we will get the covarying data of atmospheric mass change, sea level and OBP etc., by using a coupled SVD method. After that, we can estimate the temporal-spatial features of response of sea level to atmospheric mass change by multi-linear model fitting method, and estimate the impacts of typical climate oscillations and wind stress curl on it. Finally, we will give the global and regional seal level change after considered the effect of the response of sea level to atmospheric mass change. Unquestionably, this research will improve the researches in the related area, such as temporal variation gravity change and global climate change.