Particle System-Based Multi-Hierarchy Dynamic Visualization of Ocean Current Data

Abstract

In three-dimensional (3D) digital Earth environment, there are many problems when using the existing methods to express the ocean current, such as uneven distribution of seed points, density leap in scale change and messy visualization. In this paper, a new dynamic visualization method of multi-hierarchy flow field based on particle system is proposed; Specifically, three typical spherical uniform algorithms are studied and compared, and the streamline becoming denser from the equator to the poles on globe is eliminated by placing seed points using Marsaglia polar method as the most efficient. In addition, a viewport-adaptive adjustment algorithm is proposed, which realizes that the density of particles is always suitable to any viewing distance during continuous zooming. To solve the visual representation deficiency, we design a new dynamic pattern to enhance the expression and perception of current, which makes up for the shortcoming of the arrow glyph and streamline methods. Finally, a prototype of GPU parallel and viewport coherence is achieved, whose feasibility and effectiveness are verified by a series of experiments. The results show that our method can not only represent ocean current data clearly and efficiently, but also has outstanding uniformity and hierarchy effect.

Dynamic typhoon visualization based on the integration of vector and scalar fields

“…Shuai (2020) constructed a particle management system, and from the optimization of the particle system data structure, designed a three-layer structure of view Schematic of ray casting. Feng et al 10.3389/fmars.2024.1367702 volume index, flow field data grid, and particles, to quickly retrieve and render the particles in the current view volume, which greatly reduces the volume of particle visualization calculations, and improves the efficiency of the particle system to simulate the flow field (Shi et al, 2021) proposed a new method to visualize multilevel flow field dynamics based on a particle system, researched parallel particle tracking and efficient rendering, and proposed a viewport adaptive tuning algorithm that can efficiently express vector field features in multiscale situations (Zhang et al, 2019) computed the differences between the data at adjacent time points in different frames to change the attributes and introduced a Compute Unified Device Architecture (CUDA) parallel computing model to visualize large-scale particle changes, which reduced the Central Processing Unit (CPU) load and significantly improved the frame rate (Dai et al, 2023) used the smooth particle hydrodynamics (SPH) method to simulate the free surface problem in ocean engineering and reproduced the whole process of submarine landslide propagation and tsunami occurrence. However, with the current particle system visualization technology, more research still stays on the single-moment twodimensional expression effect.…”