冬季黄海是否存在持续稳定的暖流目前仍有不少争议，而通过分析静止轨道海洋水色卫星(GOCI)的逐时观测资料可获取大范围、高时空分辨率的海表流场，从而为解决这个问题提供了新的研究途径。本项目拟利用GOCI的逐时遥感观测资料，建立日平均海表环流提取与融合分析方法，以获取长时序、大范围同步的黄、东海海域日平均海表环流数据。在此基础上，对黄海暖流表层流场的多时空尺度变化特征及其规律进行深入的研究。本项目研究不仅可拓展静止海洋水色卫星遥感应用，加深对黄海暖流的动力过程和形成机制的理解，而且可为区域海洋模式验证和数据同化提供大范围同步的高时空分辨率流场数据。因此，本项目对海洋学的理论研究及海洋监测与预报的业务应用等均具有借鉴价值。

Whether the Yellow Sea Warm Current (YSWC) is a persistent or transient flow remains controversial in both observations and model simulations. The sea surface currents with a high spatiotemporal resolution and wide coverage may be derived from the hourly Geostationary Ocean Color Imager (GOCI) observations under cloud-free condition. The unprecedented capability of GOCI satellite provides a new approach to solve this debate. In the proposed project, using the hourly sequential GOCI images, we will develop a robust algorithm for deriving long time series data of daily mean surface currents with wide coverage over the Yellow and East China Seas. Based on these data, we will study the multiple spatiotemporal scale structure and variability of the YSWC surface currents. The proposed project not only can make contribution to the GOCI applications and to understanding the dynamics of the YSWC, but can offer high spatiotemporal current meter measurements to verify the regional ocean circulation models. Consequently, our study is of significant importance for both oceanographic theoretical studies and operational applications of marine monitoring and forecast.