Weather forecasting is a crucial aspect of modern life, enabling efficient planning and logistics, while also protecting life and property through timely warnings of severe conditions. But accurate, long-range weather prediction is extremely complex, often involving enormous data sets and requiring code that is optimized to leverage the most advanced computer hardware features available.
The Weather Research and Forecasting (WRF) Model is a numerical weather prediction (NWP) system designed for both atmospheric research and operational forecasting needs. It is made up of about a half million lines of code, predominantly in Fortran*.
This guide is intended to help Intel® compiler customers use the latest version of the Intel® Fortran Compiler with the numerical weather prediction code WRF 2.2 on Intel® architecture systems running Linux* or Mac OS* X.
Building WRF and WPS with the Intel® Compilers on Linux and improving performance on Intel® architecture.This article is dedicated to help you with building the WRF and WPS by Intel® Compilers for Linux* in serial, parallel and distributed modes.
This note explains how to configure the Weather Research & Forecasting (WRF) run-time environment in order to achieve best performance and scalability on Intel® architecture with Intel® software tools.
The following article explains on using Intel® MKL with Numpy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
For more complete information about compiler optimizations, see our Optimization Notice.