2018-10-182018-10-181024123X10.1155/2015/629254http://hdl.handle.net/11285/630307An 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. © 2015 Francisco Gerardo Benavides-Bravo et al.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0Cluster analysisTime seriesHistorical dataHomogeneous samplesHurst exponentsLong range correlationsLong range dependencePluviometric stationsRainfall variationRegional frequency analysisRain7 INGENIERÍA Y TECNOLOGÍAArtículo2015