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The effects of short space and time scale current variability on the predictability of passive ichthyoplankton distributions: an analysis based on HF radar observations

机译:短时空尺度电流变化对被动鱼鳞浮游生物分布可预测性的影响:基于HF雷达观测的分析

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The importance of small scale variations in currents on the predictability of spatial distributions of fish eggs is investigated using dense observations of surface currents. The currents were measured with HF radar and used to drive an advection-diffusion model of ichthyoplankton concentration. We first demonstrate that the model produces acceptable agreement with observed egg fields. We then use the predicted egg fields as a basis for comparison with model runs made with currents subsampled in space and filtered in time. Significant error was found for spatial sampling intervals as small as 3 km, even though most of the variance in the currents occurred at much longer length scales. This was primarily due to the loss of the rich small scale variability in horizontal divergence. Nevertheless, most of the error is due to the misfit in the egg fields at larger length scales; that is, small scale forcing is necessary in this system for the larger scale features to be reproduced. This study thus suggests that considerable caution should be exercised before assuming that circulation models, even very sophisticated and detailed ones, capture enough of the variability of marine systems to make accurate forecasts of plankton distributions. [References: 35]
机译:电流的小范围变化对鱼卵空间分布的可预测性的重要性是通过对表面电流的密集观测来研究的。用高频雷达测量电流,并用于驱动浮游鱼类浓度的对流扩散模型。我们首先证明该模型与观察到的卵场产生了可接受的一致性。然后,我们使用预测的卵场作为与在空间中进行二次采样并及时过滤电流的模型运行进行比较的基础。对于小至3 km的空间采样间隔,发现了明显的误差,即使电流的大部分变化发生在更长的长度尺度上。这主要是由于水平发散中丰富的小尺度可变性的丧失。然而,大多数错误是由于较大长度范围内蛋场的不匹配所致。也就是说,在该系统中需要小规模的强制才能再现更大规模的特征。因此,这项研究表明,在假设环流模型(甚至是非常复杂和详细的环流模型)捕获了足够多的海洋系统可变性以做出浮游生物分布的准确预测之前,应谨慎行事。 [参考:35]

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