Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms

الملخص EN

An important topic in the study of the time series behavior and, in particular, meteorological time series is the long-range dependence.

This paper explores the behavior of rainfall variations in different periods, using long-range correlations analysis.

Semivariograms and Hurst exponent were applied to historical data in different pluviometric stations of the Río Bravo-San Juan watershed, at the hydrographic RH-24 Mexico region.

The database was provided by the Water National Commission (CONAGUA).

Using the semivariograms, the Hurst exponent was obtained and used as an input to perform a cluster analysis of rainfall stations.

Groups of homogeneous samples that might be useful in a regional frequency analysis were obtained through the process.