Visualization Method for Mesoscale Eddies Characteristics in Ocean Flow Fields Based on Variable Particle Systems
DOI:
https://doi.org/10.36777/jag2024.3.2.3Keywords:
Ocean flow field, Mesoscale eddies, Variable particles, Mapping, Feature visualizationAbstract
Visualisation of ocean flow fields is a major area of interest in marine science. Existing visualisation methods based on randomly generated particles tend to produce a uniform distribution. Although this approach effectively represents ocean flow fields, it does not adequately convey the characteristic structures within the flow in an intuitive manner. Ocean eddies, as crucial components of ocean dynamics (Patrizio & Thompson, 2021), are key features in the visualisation of ocean flow fields. Mesoscale eddies, which contain 90% of the ocean’s kinetic energy, play a vital role in transporting this energy. These eddies significantly influence local marine environments and are important for understanding the kinetic energy of ocean flow fields, providing valuable insights for fields such as oceanography, meteorology, and climate research. The aim of this study is to establish a method based on variable-particle systems. Initially, a feature set for mesoscale eddies and a parameter set for variable particles are defined. By mapping the feature set to the parameter set, the characteristic structures of mesoscale eddies can be dynamically represented. Using ocean flow-field data, we demonstrate the method’s ability to effectively highlight the characteristic structures of mesoscale eddies within the flow field through qualitative and quantitative evaluation metrics. By analysing and visualising ocean flow fields, we can gain a deeper understanding of their spatiotemporal evolution, thereby revealing patterns and regularities in their movement. This research approach not only facilitates the effective development, utilisation, and sustainable management of marine resources but also meets the requirements of digital ocean technology for visualising marine spatial information.
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