Precipitation is one of the main components of the hydrological cycle and knowledge of its spatial distribution is fundamental for the prediction of other closely related environmental variables, for example, runoff, flooding and aquifer recharge. Most of the precipitation in Mexico City is due to convective storms characterized by a high spatial variability, implying that modeling its behavior is very complex. In this work stochastic simulation techniques with a geostatistical approach were applied to model the spatial variability of the rainfall of three convective storms. The analysis of the results shows that using the proposed methodology spatial distributions of rain are obtained that reproduce the statistical characteristics present in the available information.
Méndez-Venegas, J., Díaz-Viera, M. A., Herrera, G. S., & Valdés-Manzanilla, A. (2013). Geostatistical simulation of spatial variability of convective storms in Mexico City Valley. Geofisica Internacional, 52(2), 111–120. https://doi.org/10.1016/S0016-7169(13)71466-1