Kriging Method Application for the Construction of Storm Fields in Mexico City

Abstract

This paper describes the spatial structure of storms in order to enhance flood estimation along the rainfall runoff process, The general characteristics of the models with which the rainfall data were interpolated are described. With data proceeding from a rain gauge network in Mexico City, a sample of daily rain events, the latter greater than 30 mm, was gathered. The sample is used to compare the models through the frequency and dispersion of error interpolation (crossed validation). The results yielded by the Spline function are overcome by the Kriging method, with which no advantages are found using different adjustment models of the variogram, nor with the introduction of different levels of trend. This leads to suggest that interpolation is insensitive to the variogram selection. The applications of the estimation error (and of the method in general) are discussed, and the steps to be followed to achieve interpolation reinforcement are suggested.