黄海潮波系统下的GOCI反演及OSU模式海表流场数据适用性研究

黄海呈现独有的地形条件，且该海域的潮波运动独具特征。本文利用静止海洋水色成像仪（Geostationary Ocean Color Imager，GOCI）遥感反演和俄勒冈州立大学（Oregon State University，OSU）潮流模式分别获取了黄海海域的海表流场，基于该海域独特的潮波系统提出并识别潮波干涉区，进而对GOCI反演的流场做潮流提取，并对两种潮流数据作分区可用性评价，通过实测的漂流浮标数据验证评估。结果表明:利用GOCI反演和OSU潮流模式获取的海表流场具有一定程度的可靠性，GOCI反演的海表流场的流速平均相对大小误差值为0.77，OSU潮流模式获取的海表流场流速平均相对大小误差值为0.49；在靠近潮波干涉区的黄海中部海域，GOCI潮流数据与实测数据在方向上的一致性要优于OSU潮流数据，两者平均角度误差值分别为48.45°和63.10°；在远离潮波干涉区的黄海近岸海域，OSU潮流数据与实测数据在速度大小和方向上的一致性要优于GOCI潮流数据。

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The Yellow Sea presents unique topographic conditions, and the tidal wave movement in this area has unique characteristics. In this paper, Geostationary Ocean Color Imager (GOCI) inversion and Oregon State University (OSU) tidal current model are used to obtain the sea surface currents field in the Yellow Sea. Based on the unique tidal wave system in the sea area, the tidal wave interference area is proposed and identified, and then the currents field of GOCI inversion is extracted. And partition of two kinds of trend data usability evaluation, through the validation of the drifting buoy data evaluation. The results show that the sea surface currents field obtained by GOCI inversion and OSU tidal current model has a certain degree of reliability. The AME value of sea surface currents field velocity obtained by GOCI inversion is 0.77, and that obtained by OSU tidal model is 0.49. On the whole, the currents field data obtained by GOCI inversion and OSU tide model are reliable to a certain extent. In the central area of the Yellow Sea near the tidal wave interference area, the consistency between GOCI tidal currents data and OSU tidal currents data is better than that of OSU tidal currents data, and their AAE values are 48.45° and 63.10°, respectively. In the coastal area of the Yellow Sea far from the tidal wave interference area, the consistency between the OSU tidal currents data and the measured data is better than that of the GOCI tidal currents data in terms of velocity magnitude and direction.