Geostatistical simulation of spatial variability of convective storms in Mexico City Valley

0Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free