TY - GEN
T1 - WRF nature run
AU - Michalakes, John
AU - Hacker, Josh
AU - Loft, Richard
AU - McCracken, Michael O.
AU - Snavely, Allan
AU - Wright, Nicholas J.
AU - Spelce, Tom
AU - Gorda, Brent
AU - Walkup, Robert
PY - 2007
Y1 - 2007
N2 - 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. (c) 2007 ACM.
AB - 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. (c) 2007 ACM.
KW - High performance computing
KW - Weather research
UR - https://www.scopus.com/pages/publications/56749165140
U2 - 10.1145/1362622.1362701
DO - 10.1145/1362622.1362701
M3 - Conference contribution
AN - SCOPUS:56749165140
SN - 9781595937643
T3 - Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, SC'07
BT - Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, SC'07
T2 - 2007 ACM/IEEE Conference on Supercomputing, SC'07
Y2 - 10 November 2007 through 16 November 2007
ER -