Analyzing the effects of ocean eddies is important in oceanology for gaining insights into transport of energy and biogeochemical particles. We present an application of statistical visualization algorithms for the analysis of the Red Sea eddy simulation ensemble. Specifically, we demonstrate the applications of statistical volume rendering and statistical Morse complex summary maps to a velocity magnitude field for studying the eddy positions in the flow dataset. In statistical volume rendering, we model per-voxel data uncertainty using noise models, such as parametric and nonparametric, and study the propagation of uncertainty into the volume rendering pipeline. In the statistical Morse complex summary maps, we derive histograms charactering uncertainty of gradient flow destinations to understand Morse complex topological variations across the ensemble. We demonstrate the utility of our statistical visualizations for an effective analysis of the potential eddy positions and their spatial uncertainty.

翻译：在海洋学中,分析海洋尘埃的影响对于深入了解能量和生物地球化学粒子的迁移十分重要。我们运用统计可视化算法来分析红海极地模拟合金。具体地说,我们展示了统计量成份和统计摩斯复杂简要地图在速度规模字段中的应用,以研究流数据集中的沉积位置。在统计量分析中,我们利用诸如参数和非参数等噪音模型来模拟每伏克数据不确定性,并研究不确定性在输送管道中的扩散。在统计摩斯复杂摘要地图中,我们得出梯度流动目的地不确定性的直方图,以了解串联的摩斯复杂地形变异。我们展示了我们的统计可视化对于有效分析潜在极地位置及其空间不确定性的有用性。