We now evaluate COAWST model simulations using MIROC5 CMIP5 model for both its input and boundary conditions for an entire year (October 2003 October 2004) and will evaluate its ability to simulation both seasonal precipitation patterns and weak mesoscale-organized convection in the Central Andes. Model validation will compare COAWST model output against ECMWF-interim analysis and the TRMM 3B42 precipitation product. To elucidate the impact of two-way ocean coupling, another simulation featuring one way feedback (ocean to atmosphere) was also completed. Both simulations successfully reproduced the seasonal cycle of precipitation in the Central Andes and in the Western Amazon and reproduced most of the key features that characterize the South American climate (i.e., Bolivian High, Argentinian Low, low-level jet, etc.). Precipitation associated with the monsoon trough however tended to be too weak due to an overabundance of upwelling along the equatorial zone, especially in the two-way coupled simulation where SSTs were up to 4K colder than in ECMWF-interim analysis. Unlike in Northeastern Brazil, COAWST simulations produced reasonable estimates of overall accumulated precipitation (as compared to TRMM) and also for the diurnal and seasonal cycles in the Central Andes. Accurate simulations in the Central Andes indicate COAWST did likely reproduce the key Rossby Wave response between strong convection in the Western Amazon and the strength of the Bolivian High which is a key moisture transport mechanism for the Central Andes. When evaluated at particular points throughout the Central Andes, COAWST simulated precipitation days (days with > 5 mm/day) generally was within 30 days of that shown in TRMM 3B42. Finally, probability and cumulative distribution functions of precipitation over Tropical South America demonstrates COAWST simulated precipitation during the wet season was generally too light, but over higher terrain regions including the Central Andes rainfall histograms more closely resembled TRMM and was likely associated with more accurate simulations of orographically-forced precipitation.