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ALES: a multi-mission adaptive subwaveform retracker for coastal and open ocean altimetry

机译:aLEs:用于沿海和开放海洋高度测量的多任务自适应亚波形回扫器

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摘要

Satellite altimetry has revolutionised our understanding of ocean dynamics thanks to frequent sampling and global coverage. Nevertheless, coastal data have been flagged as unreliable due to land and calm water interference in the altimeter and radiometer footprint and uncertainty in the modelling of high-frequency tidal and atmospheric forcing.ududOur study addresses the first issue, i.e. altimeter footprint contamination, via retracking, presenting ALES, the Adaptive Leading Edge Subwaveform retracker. ALES is potentially applicable to all the pulse-limited altimetry missions and its aim is to retrack both open ocean and coastal data with the same accuracy using just one algorithm.ududALES selects part of each returned echo and models it with a classic “open ocean” Brown functional form, by means of least square estimation whose convergence is found through the Nelder–Mead nonlinear optimisation technique. By avoiding echoes from bright targets along the trailing edge, it is capable of retrieving more coastal waveforms than the standard processing. By adapting the width of the estimation window according to the significant wave height, it aims at maintaining the accuracy of the standard processing in both the open ocean and the coastal strip.ududThis innovative retracker is validated against tide gauges in the Adriatic Sea and in the Greater Agulhas System for three different missions: Envisat, Jason-1 and Jason-2. Considerations of noise and biases provide a further verification of the strategy. The results show that ALES is able to provide more reliable 20-Hz data for all three missions in areas where even 1-Hz averages are flagged as unreliable in standard products. Application of the ALES retracker led to roughly a half of the analysed tracks showing a marked improvement in correlation with the tide gauge records, with the rms difference being reduced by a factor of 1.5 for Jason-1 and Jason-2 and over 4 for Envisat in the Adriatic Sea (at the closest point to the tide gauge).
机译:由于频繁的采样和全球覆盖,卫星测高彻底改变了我们对海洋动力学的理解。尽管如此,由于海拔高度计和辐射计足迹中的陆地和平静水域干扰以及高频潮汐和大气强迫建模的不确定性,沿海数据被标记为不可靠。 ud ud我们的研究解决了第一个问题,即高度计足迹污染,通过重新跟踪,展示ALES,即自适应前沿子波形重新跟踪器。 ALES可能适用于所有脉冲受限的测高任务,其目标是仅使用一种算法即可以相同的精度重新跟踪海洋和沿海数据。 ud udALES选择每个返回回波的一部分,并使用经典的“ “开放海洋”布朗函数形式,通过最小二乘估计,其收敛是通过Nelder-Mead非线性优化技术找到的。通过避免沿后缘来自明亮目标的回波,与标准处理相比,它能够检索更多的沿海波形。通过根据显着的波高调整估计窗口的宽度,其目的是保持公海和沿海地带的标准处理精度。 ud ud这种创新的跟踪器已针对亚得里亚海的潮汐仪进行了验证在大Agulhas系统中执行三个不同的任务:Envisat,Jason-1和Jason-2。噪声和偏差的考虑因素提供了对该策略的进一步验证。结果表明,ALES能够在标准产品中甚至将1 Hz平均值标记为不可靠的区域中,为所有三个任务提供更可靠的20 Hz数据。使用ALES追踪器后,大约有一半的航迹显示与潮汐仪记录的相关性有了明显改善,对于Jason-1和Jason-2,均方根差减小了1.5倍,Envisat减小了4倍以上在亚得里亚海(离潮汐计最近的地方)。

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