The Altiplano is a semi-arid region in the central Andes, which is characterized by its average altitude of 3,800 m above sea level (masl) (Garreaud et al., 2003). This region plays an important role in the economy and development of Bolivia and Peru, countries with Chile whom share the Altiplano. In the Bolivian Altiplano there are many important cities and productive areas (Clark & Wallis, 2017); however, the climate change is modifying the land use, water availability and agricultural productivity. The sustainable development requires the implementation of renewable energy and adequate plans for agriculture sustainability to reduce poverty and hunger, also to provide affordable and clean energy. To develop these objectives measurement of meteorological variables are fundamental; however, when measurements are deficient, numerical approaches might be an alternative. The computational and technological developments helped to the broad use of Numerical Weather Prediction (NWP) for multiple uses such as: renewable energies forecast, extreme events prediction, climate change impact, and air quality. The NWP consists on solving a simplified Navier-Stokes equations in combination with others physics equations. They are solved in space and time and due to their complexity numerical techniques are needed. Consequently, the simplified equations will have complete resolved processes and another unresolved processes (Bauer et al., 2015). Therefore, these unresolved physics are modeled using parameterizations. The parameterizations play important role for the precise solving of the unresolved physics processes; these physics could be: land surface, radiation, convective, microphysics, planetary boundary layer and others that will be in function of the most important variable to predict, the region of study and the grid size (Cohen et al., 2015;Stensrud, 2007;Stensrud et al., 2015).Weather Research & Forecasting (WRF) model (Skamarock et al., 2008) is one of the most important NWP system designed for both atmospheric research and operational forecasting applications. The WRF model has been broadly used for atmospheric research and lake-breezes in different context (Ruiz et al., 2010;Xu et al., 2016). These studies demonstrate the importance of the of lake-breezes on the transportation of pollutants and particles, ozone concentration, surface temperature, rainfall and other important meteorological variables (Asefi-Najafabady et al., 2010;Keen & Lyons, 1978;Wentworth et al., 2015). However, the parameterization and use of WRF was scarcely performed in the Bolivian Altiplano and around Titicaca Lake.