When viewing the Technical Program schedule, on the far righthand side
is a column labeled "PLANNER." Use this planner to build your own
schedule. Once you select an event and want to add it to your personal
schedule, just click on the calendar icon of your choice (outlook
calendar, ical calendar or google calendar) and that event will be
stored there. As you select events in this manner, you will have your
own schedule to guide you through the week.
You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.
Data Intensive Uncertainty Quantification: Applications to Climate Modeling
SESSION: Research Poster Reception
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):John R. Tannahill, Don D. Lucas, David M. Domyancic, Scott T. Brandon, Richard I. Klein
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: In October of 2009, LLNL began a three-year Strategic Initiative, “The Advance of Uncertainty Quantification Science with Application to Climate Modeling, Inertial Confinement Fusion Design, and Stockpile Stewardship Science”. The goal of the project is to advance the Uncertainty Quantification (UQ) of multi-physics simulations with large collections of uncertain input parameters. The initial focus is on the UQ of global climate model simulations. This work will allow the uncertainty in climate simulations to be characterized, thereby reducing the uncertainties in the predictions of future climate change.
Already, using two of the most widely-used community climate models, the most comprehensive set of U.S. ensemble-based UQ simulations of present-day climate has been produced: over 46,000 simulated years have been run and some 61 TB of data generated. This poster presents the approach and challenges associated with the generation and analysis of such a large ensemble data set, as well as the key role that the LLNL UQ Pipeline software plays.
Bernd Mohr (Chair) - Juelich Supercomputing Centre
John R. Tannahill - Lawrence Livermore National Laboratory
Don D. Lucas - Lawrence Livermore National Laboratory
David M. Domyancic - Lawrence Livermore National Laboratory
Scott T. Brandon - Lawrence Livermore National Laboratory
Richard I. Klein - Lawrence Livermore National Laboratory