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

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 applie...

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Detalles Bibliográficos
Autores principales: Benavides Bravo, Francisco Gerardo, Almaguer Martínez, Francisco Javier, Soto Villalobos, Roberto, Tercero Gómez, Víctor, Morales Castillo, Javier
Formato: Artículo
Lenguaje:inglés
Publicado: 2015
Acceso en línea:http://eprints.uanl.mx/14985/1/149.pdf
Descripción
Sumario: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 R´ıo Bravo-San Juan watershed, at the hydrographic RH-24 Mexico region.The database was provided by theWater 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.