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Persistent upwelling in the Mid-Atlantic Bight detected using gap-filled, high-resolution satellite SST
Remote Sensing of Environment ( IF 11.1 ) Pub Date : 2021-05-21 , DOI: 10.1016/j.rse.2021.112487
Sarah C. Murphy , Laura J. Nazzaro , James Simkins , Matthew J. Oliver , Josh Kohut , Michael Crowley , Travis N. Miles

This study applied a Spike-Filter (SF) method to identify and remove rapidly moving clouds over the coastal ocean in GOES-16 satellite sea surface temperature fields (SST). These images were then gap-filled to capture upwelling in the Mid Atlantic Bight (MAB), a critical process that impacts ecosystems and atmospheric processes in the region and is important to coastal regions around the world. During the 2019 upwelling season, the default Quality Filter (QF) provided to identify and remove clouds from GOES SST consistently removed upwelling pixels, resulting in ~15% MAB coastal SST coverage. The Spike Filter (SF) method increased MAB coastal SST coverage to 30% and maintained overall accuracy. GOES SF DINEOF SST approximately doubled the number of detected upwelling days compared to MUR SST. The longest upwelling event detected in GOES SF DINEOF persisted for over 17 days, which is longer than upwelling events previously observed in the MAB (Glenn et al., 2004).This suggests that the MAB can have persistent, rather than episodic upwelling as previously thought. Clear detection of the timing and duration of upwelling events is important as it provides estimates for ecological and physical responses in the MAB and coastal regions around the world. GOES-16 SST has the potential to improve upwelling detection and should be further studied for application in ocean and atmospheric modeling.



中文翻译:

使用充满缝隙的高分辨率卫星SST检测到大西洋中部的持续上升流

这项研究应用了Spike-Filter(SF)方法来识别和去除GOES-16卫星海面温度场(SST)中沿海岸快速移动的云。然后,这些图像被填满以捕获中大西洋海岸线(MAB)的上升流,这是一个影响该地区生态系统和大气过程的关键过程,对世界各地的沿海地区都很重要。在2019年上升季节中,提供了默认的质量过滤器(QF)来识别和清除GOES SST中的云,并持续去除上升流像素,导致约15%的MAB沿海SST覆盖率。峰值滤波(SF)方法将MAB沿海SST覆盖率提高到30%,并保持了总体准确性。与MUR SST相比,SF DINEOF SST的探测上升天数大约增加了一倍。在GOES SF DINEOF中检测到的最长上升流事件持续​​了超过17天,这比之前在MAB中观测到的上升流事件要长(Glenn等,2004),这表明MAB可以持续存在,而不是像以前那样是偶发的上升流想法。清楚地检测上升事件的时间和持续时间很重要,因为它可以估算人与生物圈以及世界各地沿海地区的生态和自然响应。GOES-16 SST具有改善上升流探测的潜力,应进一步研究以用于海洋和大气模拟。清楚地检测上升事件的时间和持续时间很重要,因为它可以估算人与生物圈以及世界各地沿海地区的生态和自然响应。GOES-16 SST具有改善上升流探测的潜力,应进一步研究以用于海洋和大气模拟。清楚地检测上升事件的时间和持续时间很重要,因为它可以估算人与生物圈以及世界各地沿海地区的生态和自然响应。GOES-16 SST具有改善上升流探测的潜力,应进一步研究以用于海洋和大气模拟。

更新日期:2021-05-22
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