Estimación de datos faltantes de precipitaciones en las estaciones metereológicas de la microcuenca del río Tabacay

Abstract

This work applied and compared statistical methodologies to evaluate missing precipitation data series in the operational and monitoring meteorological equipment of the Tabacay River micro basin, to identify a method that provides reliable results for use in different areas of research. For the application and identification of the methodologies involved in the study, the fluviometric records of the meteorological teams of Condoryacu, Nudpud, Llaucay, and Guapán were used, then goodness-of-fit methods were applied, such as the coefficient of determination, Pearson correlation coefficient, standard error of estimation and the "ANOVA" test to accept or discard the reference data sets for the calculation. The results were validated with the elimination of complete data intervals and subsequent filling through the statistical methods, in order to identify the discrepancy between the calculated and eliminated data; therefore, in the selection of the methodology that best fits the real values, different methods were identified and are depending on the meteorological equipment in which it is applied. The application of statistical methods proves to be an essential tool in the data filling; however, some methodologies stand out in the quality of the estimation, this research work seeks to contribute to the filling of reliable precipitation measurements in the meteorological equipment of the Tabacay river micro-basin.