The panelists' Visualization Showcase submissions will be shown with each panelist providing insights into the process of creating cutting edge outreach visualizations. The remainder of the session will be an open floor for discussion giving audience members the opportunity to engage panelists.
Hurricane Odile HWRF Simulation
Panelist: Matt Rehme
When Hurricane Odile made landfall on the Baja California Peninsula in September 2014 as a category 3 storm, it inflicted widespread damage, flooding and power outages in Mexico and the Southwestern United States. Researchers at the National Center for Atmospheric Research (NCAR) in Boulder, CO, created this simulation using the Hurricane Weather Research Forecast, an advanced hurricane prediction system developed by the National Oceanic and Atmospheric Administration (NOAA).
Using advanced computing and storage resources at NCAR and NOAA, the simulation combines dropsonde data, conventional observations and satellite data into a 3-D grid with 3KM horizontal resolution and 61 vertical levels providing a highly detailed glimpse into the processes and evolution of this hurricane over a 6-day period. The system, now deployed for real-time storm tracking, fills gaps in previous weather simulations to provide a more accurate assessment of intensity, structure and expected rainfall for severe storms.
Viewing Link (YouTube): https://youtu.be/NYWgCuaeXrw
Download Link (DropBox): https://dl.dropboxusercontent.com/u/97834010/odile1920x1080_01.mp4
El Niño: 1997 Compared with 2015
Panelist: Matt Rehme
This visualization was created using advanced computing resources at NCAR, including the NCAR Command Language (NCL), a programming language designed specifically for scientific data processing and visualization; and Geyser, a large-memory node system used for large-scale analysis and post-processing tasks, operated by NCAR’s Computational & Information Systems laboratory. The animation depicts a comparison of changes in sea surface temperature (SST) anomalies between the major El Niño event of 1997-98 and the El Niño event which emerged in 2015.
The data visualized are from the NOAA 1/4° daily Optimum Interpolation Sea Surface Temperature (OISST) database. These data sets are combined from sources such as satellites, buoy networks, and ships. They are named for the key satellite sensor used: in this case, the Advanced Very High Resolution Radiometer (AVHRR).
Visualization of Storm Simulations for Data Mining Tornadogenesis Precursors
Panelist: Greg Foss
This video is a sample of animations resulting from an in-progress XSEDE ECSS project investigating the use of 3D visualization techniques as a possible data mining method exploring large (approximately 5TB) and complex supercell thunderstorm simulation data. The goal is finding factors (referred to as objects) that distinguish tornadogenesis (tornado formation) from "tornado failure" (failure of a storm containing strong low-level rotation to produce a tornado) in a series of simulated storms.The animations will be used to help develop the object definitions for the data mining, to ensure automatically extracted objects match subjectively (visually) identified ones,and to develop definitions for new objects. This submission's material results from the project's first dataset and visualizes hook echoes, BWERs, updrafts, cold pools, vertical pressure perturbation gradients, and helicity/vorticity properties. In addition to consultants from TACC's visualization staff, XSEDE resources include HPC systems Maverick (TACC), and Stampede (TACC)for the visualizations, and Darter (NICS) for the storm simulations.
Visualization of simulated white dwarf collisions as a primary channel for type Ia supernovae
Panelist: David Bock
Type Ia supernovae are an important and significant class of supernovae. While it is known that these events result from thermonuclear explosions of white dwarfs, there is currently no satisfactory scenario to achieve such explosions. Direct collisions of white dwarfs are simulated to study the possibility that the resulting explosions are the main source of type Ia supernovae. An adaptive mesh refinement grid simulates the varying levels of detail and a custom volume renderer is used to visualize density, temperature, and the resulting nickel production during the collision.
Link: http://lantern.ncsa.illinois.edu/~dbock/Vis/XSEDE/XSEDE16/Bock_Kushnir.mov Visualization: David Bock, National Center for Supercomputing Applications Principal Investigator: Doron Kushnir, Institute for Advanced Study
Orbiting Black Holes Magnetohydrodynamics
Panelist: Mark Van Moer
This visualization shows a simulation of two orbiting black holes generated by the HARM3d magnetohydrodynamics package. The focus will be on showing the behavior of magnetic field lines emanating from just above the black holes, perpendicular to the orbital plane. The completed video will highlight the field line entrainment and encirclement of the orbital axis along with volume rendering of the particle density in order to show their correspondence.
The rough cut of the video can be downloaded from:
We anticipate having more timesteps available by the time of the conference with correspondingly longer sequences.
ParaView + OSPRay: High-Fidelity Ray Tracing for Scientific Visualization
Panelist: Paul Navratil
This visualization demonstrates an integration of the Intel OSPRay ray tracing engine with ParaView, a VTK-based visualization toolkit. By using ray tracing, researchers can produce visualizations with photorealistic shading more easily than with rasterization-based methods. In addition, ray tracing is more efficient than rasterization when rendering many views of high-resolution geometry. This video demonstrates the capabilities of the current pvOSPRay implementation and compares the visualization results against standard ParaView rendering. pvOSPRay is available on TACC high-performance computing systems and available for download at https://tacc.github.io/pvOSPRay/ .
The movie is available for download at https://utexas.box.com/v/XSEDE16Vis
Thursday July 21, 2016 10:30am - 12:00pm EDT
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