WRF nature run

J. Michalakes, J. Hacker, R. Loft, M. O. McCracken, A. Snavely, N. Wright, T. Spelce, B. Gorda, R. Walkup
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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.
WRF自然运行
天气研究与预报(WRF)模式是用于中尺度研究和业务数值天气预报(NWP)的有限区域大气模式。千万亿次问题是WRF的自然运行,它提供了非常高分辨率的“真相”,为了研究可预测性、随机参数化和基本动力学,可以比较更粗糙的模拟或扰动运行。我们利用LLNL BG/L机器的65,536个处理器,在半球上进行了一种理想的高分辨率旋转流体的自然运行,以研究观测大气的k-3到k-5/3动能谱转换的尺度。我们解决了并行I/O和可伸缩性的问题。主要结果不仅是可扩展性和高Tflops数,而且是在高分辨率下理解天气可预测性的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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