J. Michalakes, J. Hacker, R. Loft, M. O. McCracken, A. Snavely, N. Wright, T. Spelce, B. Gorda, R. Walkup
{"title":"WRF nature run","authors":"J. Michalakes, J. Hacker, R. Loft, M. O. McCracken, A. Snavely, N. Wright, T. Spelce, B. Gorda, R. Walkup","doi":"10.1145/1362622.1362701","DOIUrl":null,"url":null,"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.","PeriodicalId":274744,"journal":{"name":"Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"71","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1362622.1362701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 71
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.