WRF Performance Analysis and Scalability on Multicore High Performance Computing Systems

Weather Research and Forecast (WRF) is one of the most commonly used numerical weather prediction models that has superior scalability and computational efficiency. The WRF model is one of the most commonly used Numerical Weather Prediction model that is designed to run on a variety of platforms, either serially or in parallel, with or without multi-threading. WRF model performance benchmarking has been done within different environments to demonstrate the scalability of the computational environment and considerations for higher productivity. The chapter discusses WRF performance analysis and scalability on a multicore high performance computing system using a benchmarking configuration. It explains the use of WRF version 3.7 for a tropical domain in Southeast Asia, dominated by convective meteorology conditions.