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Revealing the timing of ocean stratification using remotely-sensed ocean fronts

机译:揭示利用遥感海线进行海洋分层的时机

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Stratification is of critical importance to the circulation, mixing and productivity of the ocean, and is expected to be modified by climate change. Stratification is also understood to affect the surface aggregation of pelagic fish and hence the foraging behaviour and distribution of their predators such as seabirds and cetaceans. Hence it would be prudent to monitor the stratification of the global ocean, though this is currently only possible using in situ sampling, profiling buoys or underwater autonomous vehicles. Earth observation (EO) sensors cannot directly detect stratification, but can observe surface features related to the presence of stratification, for example shelf-sea fronts that separate tidally-mixed water from seasonally stratified water. This paper describes a novel algorithm that accumulates evidence for stratification from a sequence of oceanic front maps, and discusses preliminary results in comparison with in situ data and simulations from 3D hydrodynamic models. In certain regions, this method can reveal the timing of the seasonal onset and breakdown of stratification.
机译:分层对于海洋的环流,混合和生产力至关重要,并且有望随着气候变化而改变。分层也被认为会影响远洋鱼类的表面聚集,从而影响其捕食者(如海鸟和鲸类)的觅食行为和分布。因此,尽管目前只能使用原位采样,轮廓浮标或水下自动驾驶工具来监视全球海洋的分层,但还是要谨慎。地球观测(EO)传感器不能直接检测分层,但是可以观察与分层存在有关的表面特征,例如,将潮汐混合水与季节性分层水分开的架子前海。本文介绍了一种新颖的算法,该算法可从一系列海洋前线地图中积累分层证据,并讨论与原始数据和3D流体动力学模型的模拟相比较的初步结果。在某些地区,这种方法可以揭示季节开始和分层破裂的时间。

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