Multi-view synergistic visual analysis of ocean heat waves

doi:10.11996/JG.j.2095-302X.2025051018

Abstract

Abstract:

Against the background of increasing global warming, the frequency and intensity of ocean heat waves continue to rise, imposing serious impacts on marine ecosystems and coastal economic activities. Existing research methods were found to inadequately capture the complex characteristics of multi-factor coupling and multi-scale interaction of ocean heat waves, especially in the quantitative characterization of the spatio-temporal dynamic evolution. To address this scientific problem, a multi-view synergistic analysis methodology incorporating high-dimensional spatio-temporal features was proposed. Firstly, a feature extraction technique based on spatio-temporal graph convolutional network (ST-GCN) was developed. It realized the accurate portrayal of the spatio-temporal evolution law of ocean heat waves by constructing a multi-dimensional feature matrix containing heat wave intensity, frequency, duration and other indicators, and establishing dynamic spatial adjacencies by combining with the improved Delaunay triangular dissection algorithm. Secondly, a visualization system supporting multi-factor correlation analysis was innovatively designed. Multi-dimensional scaling method and the HDBSCAN clustering algorithm were adopted to deeply analyze the nonlinear coupling relationship between the ocean-heat-wave events and the key environmental drivers, such as sea-surface-temperature anomalies and wind-speed field. The system enabled researchers to intuitively explore the spatial and temporal distribution patterns of ocean heat waves and their driving mechanisms through the synergistic interaction of multiple views.

Key words: marine heat wave, multi-view, spatio-temporal map convolution, visual analysis system, collaborative interaction

CLC Number:

TP183
P71

HE Qi, XIE Qiuhan, HUANG Dongmei, CHEN Kuo, WANG Jian. Multi-view synergistic visual analysis of ocean heat waves[J]. Journal of Graphics, 2025, 46(5): 1018-1027.

Figures/Tables 14

Fig. 1 Multi-view collaborative visual analysis flow chart of ocean heat waves

Fig. 2 MWHVIS system interface ((a) Parameter selector; (b) Heat wave characterization view; (c) Heat wave distribution view; (d) Spatio-temporal modal analysis view; (e) Multi-dimensional linkage view; (f) Causal linkage view)

Fig. 3 Multi-view collaborative analysis framework flowchart

Fig. 4 Three types of spatial distribution patterns of heat waves in the Bohai-North Yellow Sea

Fig. 5 Cumulative frequency distribution plot

Fig. 6 Average intensity distribution map

Fig. 7 Maximum intensity distribution map

Fig. 8 Average duration distribution plot

Fig. 9 Heat wave season trend chart

Fig. 10 Multidimensional linkage view

Fig. 11 Correlation analysis view

Fig. 12 Heatwave causal elements analysis chart

Fig. 13 Comparison chart of system task processing efficiency

Fig. 14 Analysis accuracy improvement graph

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