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DCT-PLS Gap Filling and DMD Analysis of the Coastal Ocean Surface Current in the Gulf of Thailand

机译:泰国湾沿岸海面洋流的DCT-PLS间隙填充和DMD分析

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The ocean currents are one of the main driving forces for many vital coastal processes. Analyzing ocean current data, especially in coastal areas, can benefit the coastal ocean communities in deriving insight and knowledge on coastal ocean processes and variability. high frequency surface wave radars (HFSWRs) provide comprehensive and long range (30-100 km) observations of sea surface currents with high temporal (typically 0.25-1 hour) and spatial (typically 1-3 km) resolution. The data gathered from HFSWRs can therefore be well used to study eddy dynamics as well as variability in coastal ocean currents. However, high frequency surface wave radar (HFSWRs) are shore based remote sensing systems, and can be prone to environmental interferences resulting in observation failure. To this end, we first apply the Discrete Cosine Transform (DCT-PLS) algorithm to fill gaps in high frequency surface wave radar (HFSWR) data in the Gulf of Thailand from the Geo-Informatics and Space Technology Development Agency (GISTDA), Thailand. The DCT-PLS algorithm uses both time and space information to predict missing values. Finally, we also analyze and reveal dynamics of the coastal ocean circulation via dynamic mode decomposition (DMD) together with sparsity-promoting variant (SPV) approach in order to obtain insight into the dynamics and spatial structures of the ocean currents in the Gulf of Thailand. A comparison with EOF technique is also provided.
机译:洋流是许多重要沿海过程的主要驱动力之一。分析洋流数据,特别是沿海地区的洋流数据,可以使沿海海洋社区受益于对沿海海洋过程和变率的见识和知识。高频表面波雷达(HFSWR)能够以高时间分辨率(通常为0.25-1小时)和空间分辨率(通常为1-3 km)对海面洋流进行全面和远距离(30-100 km)的观测。因此,从高温超高压水堆收集的数据可以很好地用于研究涡流动力学以及沿海洋流的变化性。但是,高频表面波雷达(HFSWR)是基于海岸的遥感系统,并且容易受到环境干扰,导致观测失败。为此,我们首先应用离散余弦变换(DCT-PLS)算法填补泰国湾来自泰国地理信息和空间技术发展局(GISTDA)的高频表面波雷达(HFSWR)数据中的空白。 DCT-PLS算法使用时间和空间信息来预测缺失值。最后,我们还通过动态模式分解(DMD)和稀疏性促进变异(SPV)方法分析并揭示了沿海海洋环流的动态,以便深入了解泰国湾洋流的动态和空间结构。还提供了与EOF技术的比较。

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