Wang Xuan, Tandeo Pierre, Fablet Ronan, Husson Romain, Guan Lei, Chen Ge
Qingdao Collaborative Innovation Center of Marine Science and Technology, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China.
Institut Telecom/Telecom Bretagne, UMR LabSTICC, Technopôle Brest-Iroise, Brest 29280, France.
Sensors (Basel). 2016 Nov 25;16(12):2000. doi: 10.3390/s16122000.
The swell propagation model built on geometric optics is known to work well when simulating radiated swells from a far located storm. Based on this simple approximation, satellites have acquired plenty of large samples on basin-traversing swells induced by fierce storms situated in mid-latitudes. How to routinely reconstruct swell fields with these irregularly sampled observations from space via known swell propagation principle requires more examination. In this study, we apply 3-h interval pseudo SAR observations in the ensemble Kalman filter (EnKF) to reconstruct a swell field in ocean basin, and compare it with buoy swell partitions and polynomial regression results. As validated against in situ measurements, EnKF works well in terms of spatial-temporal consistency in far-field swell propagation scenarios. Using this framework, we further address the influence of EnKF parameters, and perform a sensitivity analysis to evaluate estimations made under different sets of parameters. Such analysis is of key interest with respect to future multiple-source routinely recorded swell field data. Satellite-derived swell data can serve as a valuable complementary dataset to in situ or wave re-analysis datasets.
基于几何光学建立的涌浪传播模型在模拟来自远处风暴的辐射涌浪时效果良好。基于这种简单近似，卫星已经获取了大量关于中纬度强烈风暴引起的跨洋盆涌浪的大样本。如何通过已知的涌浪传播原理，利用这些来自太空的不规则采样观测数据常规地重建涌浪场，需要更多的研究。在本研究中，我们将3小时间隔的伪SAR观测数据应用于集合卡尔曼滤波器（EnKF）中，以重建海洋盆地中的涌浪场，并将其与浮标涌浪分区和多项式回归结果进行比较。经现场测量验证，在远场涌浪传播场景中，EnKF在时空一致性方面表现良好。利用这个框架，我们进一步探讨了EnKF参数的影响，并进行了敏感性分析，以评估在不同参数集下的估计结果。这种分析对于未来多源常规记录的涌浪场数据至关重要。卫星衍生的涌浪数据可以作为现场或海浪再分析数据集的宝贵补充数据集。
