SCHEDULE: NOV 12-18, 2011

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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.

Chair/Author Details:

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

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