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Using Geostationary Satellite Ocean Color Data to Map Diurnal Hourly Velocity Field Changes in Oceanic Mesoscale Eddy
IEEE Transactions on Geoscience and Remote Sensing ( IF 7.5 ) Pub Date : 7-15-2024 , DOI: 10.1109/tgrs.2024.3428851
Xiaosong Ding 1 , Xianqiang He 2 , Yan Bai 2 , Jiajia Li 3 , Fang Gong 4
Affiliation  

The mesoscale eddy structure in the upper ocean is difficult to observe with altimeter satellite data due to their coarse spatiotemporal resolution. However, the world’s first Geostationary Ocean Color Imager (GOCI) makes it possible to refine the eddy structure inversion with observations of high spatiotemporal resolution (500 m and 1 h, respectively). In this study, we proposed a new flow field retrieval algorithm recurrent all-pairs field transforms in mesoscale eddy flow retrieval (RAFT-MesoEddy) based on deep current optical flow architecture in the mesoscale eddy surface flow field for GOCI data. The validation results showed that the flow field matched the particle image velocimetry (PIV) data in both quality and spatial distribution, with mean end-to-end point error (MEPE) and mean average angle error (MAAE) of less than 0.07 pixel and 2.57°, respectively. The GOCI-derived flow field showed good consistency with drifting buoy trajectory data, with MEPE and MAAE values less than 0.34 m/s and 18.78°, respectively. The GOCI-retrieved flow field showed agreement with satellite altimeter geostrophic flow data, with the MEPE and MAAE being 0.28 m/s and 10.12°, respectively. The GOCI-retrieved flow field showed an agreement with Ocean Surface Current Analyses Real-time (OSCAR) surface flow field, with the MEPE and MAAE are 0.28 m/s and 9.62°, respectively. In addition, a specific mesoscale eddy to discuss the hourly dynamics of flow field and eddy kinetic energy (EKE) is taken. The significant diurnal dynamics revealed in the hourly GOCI observations suggest caution in mapping mesoscale eddy flow using conventional altimeter satellite data, as the temporal resolution is insufficient to capture diurnal variations.

中文翻译:


利用地球静止卫星海洋颜色数据绘制海洋中尺度涡旋的日时速度场变化



由于时空分辨率较粗糙,上层海洋的中尺度涡流结构很难用高度计卫星数据观测到。然而,世界上第一台对地静止海洋彩色成像仪(GOCI)使得通过高时空分辨率(分别为 500 m 和 1 h)的观测来细化涡流结构反演成为可能。在本研究中,我们基于GOCI数据中尺度涡流表面流场中的深电流光流架构,提出了一种新的流场检索算法——中尺度涡流检索中的循环全对场变换(RAFT-MesoEddy)。验证结果表明,流场在质量和空间分布上与粒子图像测速(PIV)数据匹配,平均端到端点误差(MEPE)和平均平均角度误差(MAAE)均小于0.07像素,分别为2.57°。 GOCI推导的流场与漂流浮标轨迹数据具有良好的一致性,MEPE和MAAE值分别小于0.34 m/s和18.78°。 GOCI反演的流场与卫星高度计地转流数据一致,MEPE和MAAE分别为0.28 m/s和10.12°。 GOCI反演的流场与实时海流分析(OSCAR)表面流场一致,MEPE和MAAE分别为0.28 m/s和9.62°。此外,还采用特定的中尺度涡来讨论流场和涡动能(EKE)的每小时动态。每小时 GOCI 观测中揭示的显着昼夜动态表明,使用传统高度计卫星数据绘制中尺度涡流图时要谨慎,因为时间分辨率不足以捕获昼夜变化。
更新日期:2024-08-19
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