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Monitoring the Greater Agulhas Current With AIS Data Information
Journal of Geophysical Research: Oceans ( IF 3.3 ) Pub Date : 2021-04-29 , DOI: 10.1029/2021jc017228
Le Goff Clément 1 , Boussidi Brahim 1 , Mironov Alexei 1 , Guichoux Yann 1 , Zhen Yicun 2 , Tandeo Pierre 2 , Gueguen Simon 3 , Chapron Bertrand 4
Affiliation  

Over the core region of the Agulhas Current, new estimations of ocean surface velocities are reported using the increasing data set from the Automatic Identification System (AIS), initially designed to monitor vessel traffic. A two‐step strategy is suggested. A first guess is evaluated from the collective behavior of vessels for a given space‐time interval. Individual vessel trajectories are then re‐analyzed and interpolated. Applied during year 2016, these ocean surface current estimates are demonstrated to well determine the intensity of surface currents. The improved spatial resolution helps the decomposition of the optimally interpolated surface current vector field between irrotational ≈80%–90% and divergence‐free components ≈10%–20%, for example, Helmholtz‐Hodge decomposition. Comparisons are performed between in situ drifting‐buoys and represent up to 25% gain in respect of the altimetry gridded current (for the meridional component). Others comparisons with data collected during the Agulhas Current Time‐series experiment, as well as with the mean Doppler‐derived surface currents obtained from satellite synthetic aperture radar measurements also reveal a significant benefit of using the AIS derived estimates. Comparisons with the Sea Surface Temperature from MODIS sensors confirm the occurrence of meandering events for the current path. For the Agulhas Current region, the high density of vessel traffic can provide new means to study and monitor intense upper ocean currents with more detailed resolution and precision.

中文翻译:

使用AIS数据信息监控大Agulhas流

在Agulhas Current的核心区域,使用最初用于监视船只交通的自动识别系统(AIS)不断增加的数据集,报告了海面速度的新估计值。建议采取两步策略。根据给定时空间隔内船只的集体行为来评估第一个猜测。然后,重新分析和插补单个船只的轨迹。这些海面洋流估计数在2016年期间应用后,证明可以很好地确定地表洋流的强度。改进的空间分辨率有助于在非旋转分量≈80%–90%和无散度分量≈10%–20%之间最佳插值的表面电流矢量场的分解,例如,亥姆霍兹-霍奇分解。在原位漂流浮标之间进行比较,并且相对于测高网格电流(对于子午分量)而言,代表高达25%的增益。其他与Agulhas Current时间序列实验期间收集的数据进行比较,以及与从卫星合成孔径雷达测量获得的平均多普勒源地表面电流进行比较,也显示了使用AIS得出的估算值的显着优势。与来自MODIS传感器的海面温度的比较证实了当前路径发生曲折事件的情况。对于Agulhas Current地区,高密度的船只通行可以提供更详细的分辨率和精度来研究和监测强烈的上洋流的新手段。其他与Agulhas Current时间序列实验期间收集的数据进行比较,以及与从卫星合成孔径雷达测量获得的平均多普勒源地表面电流进行比较,也显示了使用AIS得出的估算值的显着优势。与来自MODIS传感器的海面温度的比较证实了当前路径发生曲折事件的情况。对于Agulhas Current地区,高密度的船只通行可以提供更详细的分辨率和精度来研究和监测强烈的上洋流的新手段。其他与Agulhas Current时间序列实验期间收集的数据进行比较,以及与从卫星合成孔径雷达测量获得的平均多普勒源地表面电流进行比较,也显示了使用AIS得出的估算值的显着优势。与来自MODIS传感器的海面温度的比较证实了当前路径发生曲折事件的情况。对于Agulhas Current地区,高密度的船舶通行可以提供更详细的分辨率和精度来研究和监测强烈的上洋流的新手段。以及从卫星合成孔径雷达测量获得的平均多普勒推算表面电流,也显示出使用AIS推导的估计值的显着优势。与来自MODIS传感器的海面温度的比较证实了当前路径发生曲折事件的情况。对于Agulhas Current地区,高密度的船只通行可以提供更详细的分辨率和精度来研究和监测强烈的上洋流的新手段。以及从卫星合成孔径雷达测量获得的平均多普勒推算表面电流,也显示出使用AIS推导的估计值的显着优势。与来自MODIS传感器的海面温度的比较证实了当前路径发生曲折事件的情况。对于Agulhas Current地区,高密度的船只通行可以提供更详细的分辨率和精度来研究和监测强烈的上洋流的新手段。
更新日期:2021-05-11
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