SCHEDULE: NOV 10-16, 2007

WRF Nature Run

Session: Gordon Bell Prize

Event Type: Gordon Bell Finalist, Awards

Time: 11:30am - 11:50am

Session Chair: David H Bailey

Author(s): John Michalakes, Josh Hacker, Rich Loft, Michael McCracken, Allan Snavely, Nicholas Wright, Tom Spelce, Brent Gorda, Robert Walkup

Location: A3 / A4

Abstract:
The Weather Research and Forecast (WRF) model is a limited-area model of the atmosphere for mesoscale research and operational numerical weather prediction (NWP). A petascale problem is a WRF nature run that provides very high-resolution "truth" against which more coarse simulations or perturbation runs may be compared for purposes of studying predictability, stochastic parameterization, and fundamental dynamics. We carried out a nature run involving an idealized high resolution rotating fluid on the hemisphere to investigate scales that span the k-3 to k-5/3 kinetic energy spectral transition of the observed atmosphere using 65,536 processors of the BG/L machine at LLNL. We worked through issues of parallel I/O and scalability. The primary result is not just the scalability and high Tflops number, but an important step towards understanding weather predictability at high resolution.

This paper can be found in the ACM Digital Libaries
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Chair/Author Details:

David H Bailey (Chair)
Lawrence Berkeley Lab

John Michalakes
University Consortium for Atmospheric Research

Josh Hacker
University Consortium for Atmospheric Research

Rich Loft
University Consortium for Atmospheric Research

Michael McCracken
San Diego Supercomputer Center

Allan Snavely
San Diego Supercomputer Center

Nicholas Wright
San Diego Supercomputer Center

Tom Spelce
Lawrence Livermore National Laboratory

Brent Gorda
Lawrence Livermore National Laboratory

Robert Walkup
IBM

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