Parallel weather modeling with the advanced regional prediction system

The Center for Analysis and Prediction of Storms has developed a regional weather prediction model called the advanced regional prediction system. The massively parallel implementation of the model has been tested in an operational setting each spring, since the spring of 1995. The model has been quite successful in predicting individual storms and storm clusters during these real-time operations which were made possible by the use of massively parallel machines.     

pPOM: A nested,scalable, parallel and Fortran 90 implementation of the Princeton Ocean Model

In this work we describe the development of a parallel implementation of the Princeton Ocean Model (POM2k) with a nested-domain feature. Parallelization has been handled using the Run-Time System Library (RSL) and the Fortran Loop Index Converter (FLIC), avoiding a direct use of the MPI library. Modularity and flexibility have been added through advanced Fortran 90 features, such as modules, dynamic memory allocation, pointers and recursion. The “seamount problem”, either in a nested and non-nested configuration, is used as a test bed for showing results scalability.