@inproceedings{df9b0830b35b44e287af37c1733ec9b5,
title = "WRF nature run",
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. (c) 2007 ACM.",
keywords = "High performance computing, Weather research",
author = "John Michalakes and Josh Hacker and Richard Loft and McCracken, \{Michael O.\} and Allan Snavely and Wright, \{Nicholas J.\} and Tom Spelce and Brent Gorda and Robert Walkup",
year = "2007",
month = nov,
day = "16",
doi = "10.1145/1362622.1362701",
language = "English",
isbn = "9781595937643",
series = "Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, SC'07",
publisher = "Association for Computing Machinery",
pages = "59",
booktitle = "Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, SC'07",
address = "United States",
note = "2007 ACM/IEEE Conference on Supercomputing, SC 2007 ; Conference date: 10-11-2007 Through 16-11-2007",
}