This project intends to take Argo buoy as the research object, and use big data means to build a set of highly reliable Marine observation network data and processing platform. This project intends to use the idea of "space surface filling" to reduce the dimension of multidimensional buoy data. A table structure suitable for Argo buoy set was constructed to realize the diversity retrieval of massive Argo buoy set. By comparing with classical database reading and writing, its high efficiency is tested. The distortion of echo data under different water depths is simulated, and an adaptive matching filter method is proposed to further improve the accuracy of water depth measurement.
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Yubai et al. (2024) studied this question.
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