1 / 8

Simulating Supercell Storms and Tornaodes in Unprecedented Detail and Accuracy

Simulating Supercell Storms and Tornaodes in Unprecedented Detail and Accuracy. Bob Wilhelmson bw@ncsa.uiuc.edu Professor, Atmospheric Sciences Chief Scientist, NCSA Atmospheric Science Storm Group (DAS) Advanced Visualization Laboratory (NCSA).

talmai
Download Presentation

Simulating Supercell Storms and Tornaodes in Unprecedented Detail and Accuracy

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Simulating Supercell Storms and Tornaodes in Unprecedented Detail and Accuracy Bob Wilhelmson bw@ncsa.uiuc.edu Professor, Atmospheric Sciences Chief Scientist, NCSA Atmospheric Science Storm Group (DAS) Advanced Visualization Laboratory (NCSA)

  2. Animation from simulation data ( ~ 1 terabyte) Nominated for an Academy Award, 1989

  3. NCSA’s Stereo 4K and Stereo HD Theater with Video Playback

  4. NOVA Supercell and Tornado Evolution Imaginations unbound

  5. PRAC: Understanding Tornadoes and Their Parent Supercells Through Ultra-High Resolution Simulation/Analysis Bob Wilhelmson (UIUC), et al • Goal • Simulate development, structure, & demise of large damaging tornadoes in supercells at resolution sufficient to capture low-level tornado inflow, thin precipitation shaft that forms “hook echo” adjacent to tornado, and other smaller scale structures • Approach • Simulate storms with model that solves (using finite differences) the equations of motion for air and water substances (droplets, rain, ice, …)

  6. Tornadoes (cont’d) • Approach continued: • Explore new numerical algorithms that will more effectively use multicore architecture of Blue Waters • Address load balancing issues that arise from the fact that the microphysics only operates in regions where clouds are forming or are present • In-situ data analysis will be carried out whenever possible due to large data volumes • Grids ranging from 5,000 x 5,000 x 1,000 to 10,000 x 10,000 x 2,000 grid points, the latter with 10 m uniform resolution within the storm • Sustained petascale simulation will require > 3 days on full system Simulated tornado-like path with a 50 mb pressure drop extending from the ground to a height of 6 km using 100 m horizontal resolution

  7. Tornadoes (cont’d) • Application Code • CM1 (Cloud Model, from George Bryan, NCAR) Fortran, MPI/OpenMP • Bottlenecks to Scalability • Load imbalance in the microphysics as some cells have cloud and others do not • Sound wave propagation algorithm takes small steps, few FLOPS per memory fetch • Percentage of Peak • 6.25% on Power 6; 92% parallel efficiency from 32 to 512 cores • Development Plan for Application Improvements • Improve performance of dynamics code and scale advection scheme or change some of the algorithms for better scaling • Add dynamic load balancing of microphysics • Overlap computation with communication • Perform on-the-fly data analysis/visualization including use of trajectories to deal with the 10’s of petabytes of data from a single simulation

More Related