1.中国石油大学（华东）;2.中国石油大学（华东）、自然资源部海上丝路海洋资源环境组网观测技术创新中心
国家自然科学基金项目（面上项目，重点项目，重大项目）
China University of Petroleum,College Of Oceanocraphiy and Space Information
为获取墨西哥湾区域海水的温度、盐度和比容异常数据,采用地转经验模态GEM方法,通过将墨西哥湾区域的所有历史实测温盐深数据整合在一起,建立一个散点的拉格朗日矩阵,将已有的温盐深数据投影到此二维空间上,从而建立一个传播时间与温度、盐度和比容异常的经验关系。进而结合IES实测的传播时间便可最终反演得到温度、盐度和比容异常,进而得到流速剖面。最后根据构建的墨西哥湾区域的地转经验模态,便可推知墨西哥湾区域的海水传播时延随着温度、盐度和比容异常的变化关系,从而能够更好的研究该海域,为深海温盐流的反演工作提供了有效根据。
In order to obtain the temperature, salinity and specific volume anomalies of seawater in the Gulf of Mexico region, the gravest empirical mode GEM method is used to establish an empirical relationship between the propagation time and the temperature, salinity and specific volume anomalies by integrating all the historical measured temperature and salinity data in the Gulf of Mexico region, building a scattering Lagrangian matrix, and projecting the existing temperature and salinity data onto this two-dimensional space. The temperature, salinity and specific volume anomalies are then inverted by combining with the IES measured propagation times to obtain the flow profiles. Finally, based on the empirical modes of geostrophic rotation in the Gulf of Mexico, the relationship between the propagation time and the temperature, salinity and specific volume anomalies can be deduced, which enables a better study of the area and provides an effective basis for the inversion of deep-sea thermohaline currents.
