The OLAM model was developed to extend the capability to represent the global and regional scale phenomena simultaneously. The model presents innovations regarding to the dynamic processes, grid configuration, memory structure, and numerical technique solutions for the prognostics equations. The Navier-Stokes equations are solved using the finite volume technique that conserves mass, momentum, and energy. In this study the OLAM model is described, and results are presented for its application on the climate mode to simulate the monthly prediction of precipitation for South America and numerical weather prediction. The results show that the model is able to represent reasonable the large scale meteorological processes. In general, its performance improves when grids of greater resolution is adopted, for which significant improvements are observed for the monthly precipitation simulation estimates as for the numerical weather prediction.
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