Transfer function-based 2D/3D interactive spatiotemporal visualizations of mesoscale eddies

Tian, Feng; Cheng, Lingqi; Ge, Chunhua

doi:10.1080/17538947.2018.1543364

Cited by 8 publications

(3 citation statements)

References 40 publications

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“…Karrasch and Schilling (2019) proposed an efficient Lagrangian coherent structure software package that is written in the programming language Julia to perform parallel identification of candidate regions, which detected vortices faster than previous methods. Moreover, massively parallel multiprocessors have been used to handle arbitrarily complex oceanic geometries (Marshall et al 1997;Smith et al 1992), while CPU parallel technology has been applied to detect and track Eulerian eddies (Liu et al 2016;Tian et al 2020a), and GPU programming technology has been used to visualize ocean data (Tian et al 2018). To overcome the high computation time needed to compute dense particles in visualization work, GPU kernels are parallelized to integrate ordinary differential equations (ODEs) and particle trajectories (Enmyren and Kessler 2010;Murray 2011).…”

Section: Related Workmentioning

confidence: 99%

SLA-Based Orthogonal Parallel Detection of Global Rotationally Coherent Lagrangian Vortices

Tian

Wang

Liu

et al. 2022

Journal of Atmospheric and Oceanic Technology

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In this paper, we present a highly effective orthogonal parallel algorithm for identifying global rotationally coherent Lagrangian vortices (RCLVs) in heterogeneous systems and a long-time-scale global SLA-based RCLVs product. First, a manycore parallel computing method is used to accelerate the Lagrangian-averaged vorticity deviation (LAVD) computing process. The computation is approximately 8000 times faster than that of a previous method. Second, the global LAVD field is divided into several regions. These regions are searched with a multiprocess CPU parallel pool to identify simultaneously RCLVs. All the identified RCLVs in these regions are merged seamlessly into a global eddy map. The algorithm improves the global RCLV identification efficiency, making the proposed method approximately 20 times faster than a single-threaded method. The LAVD manycore computing method and the RCLV multiprocess parallel method are orthogonally combined. The resulting algorithm is at least 500 times faster than previous nonparallel methods, making the computing of global RCLVs feasible. Third, the advection of Lagrangian particles in RCLVs and Eulerian eddies is analyzed to demonstrate the material coherence of RCLVs and the reliability of our algorithm. Finally, a global RCLVs product from 1993 to 2019 containing 52,567 eddies is produced with a 90-day time interval. This is the first time that a long-time-scale global Lagrangian eddy product has been presented.

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Section: Related Workmentioning

confidence: 99%

SLA-Based Orthogonal Parallel Detection of Global Rotationally Coherent Lagrangian Vortices

Tian

Wang

Liu

et al. 2022

Journal of Atmospheric and Oceanic Technology

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“…In terms of visualization, Jobard and Lefer [9] proposed an algorithm for uniformly placed streamlines in two-dimensional stable fields in 1997 and extended this algorithm to the visualization of multi-resolution unstable fields in 2000, after which several improved algorithms emerged based on this approach; Weiskopf et al [10] proposed a framework in 2005 that combines particle and texture for time-varying flow field visualization, and they used Radial Basis Functions (RBFs) proposed by Pighin et al to maintain the dynamic uniform distribution of lines; Jue He et al [11] and Tian et al [12] applied the visualization framework and radial basis functions of Weiskopf et al to oceanic flow fields [13] .…”

Section: Introductionmentioning

confidence: 99%

Research on 3D structure information extraction and visualization technology of ocean mesoscale eddies

Song,

Meng,

et al. 2024

Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023)

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As a widespread mesoscale phenomenon in the ocean, the study of mesoscale eddies has received much attention and focus. Scientists have been using data sources such as real measurements, satellite remote sensing data, and reanalysis/numerical prediction products to automatically identify and synthesize the 3D structure of mesoscale eddies locally, but at present, the 3D structure of mesoscale eddies is mostly portrayed in the form of 2D flat expressions such as static images, which has certain limitations for the expression of mesoscale eddies with multi-dimensional and dynamic characteristics, and fails to show the complete 3D structure of mesoscale eddies. The three-dimensional structure of the mesoscale vortex is not shown. In this paper, based on the flow field vector geometry feature vortex identification algorithm, with the help of Unreal Engine 4 (UE4) 3D engine and particle system technology, we developed a 3D structure information extraction and visualization algorithm for mesoscale eddies, and constructed a 3D dynamic display and analysis model, which breaks through the traditional 2D display form of mesoscale eddies and realizes the 3D dynamic visual representation and analysis of ocean mesoscale eddies. It provides a dynamic, intuitive and convenient means to study the 3D structural characteristics of mesoscale eddies, and also provides an effective support to investigate the dynamic changes of mesoscale eddies and their interactions with other ocean processes.

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“…Scientific flow visualization is used to show the distribution of various data, such as water level, water depth, flow velocity, and pollutant concentration. Particle tracking, streamline rendering, and contour surface rendering are most commonly used to present flow conditions [17][18][19][20][21]. Visual flow effects are used to simulate water surface changes using computer graphics technology, enhancing the sense of reality in a virtual geographic environment [22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Flow Modeling and Rendering to Support 3D River Shipping Based on Cross-Sectional Observation Data

Zhang

Liu

et al. 2020

IJGI

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The flow in meandering rivers is characterized by rapid changes in flow velocity and water level, especially in flooded environments. Accurate cross-sectional observation data enable continuous monitoring of flow conditions, which is important for river navigation. In this paper, cross-sectional data based flow modeling and rendering methods are studied to build an interactive hybrid flow environment for three-dimensional river shipping. First, the sparse cross-sectional data are extrapolated and interpolated to provide dense sampling points. Then, the data are visualized separately by dynamic texture mapping, particle tracking, streamline rendering, and contour surface rendering. Finally, the rendering models are integrated with ship animation to build a comprehensive hybrid river navigation scenario. The proposed methods are tested by visualizing measured cross-sectional data in the Yangtze River using an open-source software, called World Wind. The experimental results demonstrate that the hybrid flow rendering achieves comprehensive visual effect and the rendering frame rate is greater than 30. The interactive hybrid flow visualization is beneficial to support river shipping analysis.

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Transfer function-based 2D/3D interactive spatiotemporal visualizations of mesoscale eddies

Cited by 8 publications

References 40 publications

SLA-Based Orthogonal Parallel Detection of Global Rotationally Coherent Lagrangian Vortices

SLA-Based Orthogonal Parallel Detection of Global Rotationally Coherent Lagrangian Vortices

Research on 3D structure information extraction and visualization technology of ocean mesoscale eddies

Flow Modeling and Rendering to Support 3D River Shipping Based on Cross-Sectional Observation Data

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