In-Situ visualization for analyzing ensemble data of plume dispersion simulations

Yano, Midori  ; Kawamura, Takuma ; Shimomura, Kazuya ; Sugihara, Kenta ; Idomura, Yasuhiro   

In the field of computational fluid dynamics (CFD), ensemble simulations, which are initialized including random initial errors, are important for evaluating uncertainties of the simulation results. Recently, many in-situ visualization techniques that visualize simulations at runtime have been developed because of limitations on the performance of data I/O, data transfer, and visualization for a large amount of ensemble data generated from extreme-scale CFD simulations. This study proposes an in-situ ensemble visualization, applies it to ensemble data of a real-time plume dispersion simulation, and analyzes pollutant concentrations statistically.