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      Comparison of Gridded and Measured Rainfall Data for Basin-scale Hydrological Studies Translated title: Comparación de Datos de Precipitación Grillados y Medidos para Estudios Hidrológicos a Escala de Cuenca

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          Abstract

          Global gridded climatological (GGC) datasets, including precipitation and temperature, are becoming more and more precise, accessible, and common, but the utility of these datasets and their limits for hydrological research are still not well determined. In this paper, we compare the performance of two hydrological models that are identical in structure but built with two different inputs: rainfall from rain gauge stations and from a GGC dataset. The objective is to evaluate the utility of gridded datasets in water resource availability studies mainly for hydroelectric and agricultural purposes. The Andean basin of the Laja River, located in south-central Chile, was chosen for this study. It was based on an 18-yr simulation, and it was concluded that i) with gridded climatological datasets in a monthly water balance model, it is possible to reproduce the behavior of an Andean basin with good goodness-of-fit, but with worse results than when using inputs from rain gauges; ii) the amount of rainfall in gridded datasets in the Andean area of the Laja basin is underestimated and damped, an effect which is transferred to the simulated flows; and iii) regarding the main activities in the Laja basin, global gridded datasets are useful for hydrological studies with agricultural purposes prior to a treatment that considers the orographic effect. On the other hand, these datasets are useless for hydroelectric purposes due to the large underestimation of peak flows obtained during the rainy season.

          Translated abstract

          Datos grillados a escala mundial como precipitación y temperatura están siendo cada vez más precisos, accesibles y comunes, pero la utilidad de estos datos y sus limitaciones para estudios hidrológicos, todavía no están bien definidas. En este trabajo se compara el comportamiento de dos modelos hidrológicos, idénticos en estructura, pero construidos con dos entradas diferentes: la precipitación proveniente de estaciones pluviométricas y la precipitación proveniente de datos grillados a escala mundial. El objetivo es evaluar la utilidad de los datos grillados en estudios de disponibilidad de recursos hídricos, principalmente con fines hidroeléctricos y agrícolas. La cuenca andina del río Laja, ubicada en el centro-sur de Chile fue elegida para este estudio. Sobre la base de 18 años de simulación, se concluyó que i) con datos climatológicos grillados en un modelo de balance hídrico mensual es posible reproducir con buena bondad de ajuste el comportamiento de una cuenca andina, pero con peores resultados que usando datos provenientes de estaciones pluviométricas; ii) en términos de montos, los datos grillados en la zona andina de la cuenca del Laja están sub-estimados y amortiguados, efecto que se transfiere a los caudales simulados; y iii) en relación a las principales actividades en la cuenca del Laja, los datos grillados son útiles para aplicaciones hidrológicas con fines agrícolas previo un tratamiento que considere el efecto orográfico. Por otra parte, con fines hidroeléctricos, estos datos no resultan útiles debido a la considerable subestimación de los caudales máximos durante la temporada de lluvia.

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          Most cited references25

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          Uncertainties in Precipitation and Their Impacts on Runoff Estimates

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            Evaluation of the Nash–Sutcliffe Efficiency Index

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              Hydrological modelling with SWAT under conditions of limited data availability: evaluation of results from a Chilean case study

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                chiljar
                Chilean journal of agricultural research
                Chilean J. Agric. Res.
                Instituto de Investigaciones Agropecuarias, INIA (Chillán )
                0718-5839
                September 2011
                : 71
                : 3
                : 459-468
                Affiliations
                [1 ] Universidad Católica de la Santísima Concepción Chile
                [2 ] Universidad de Cantabria Spain
                [3 ] Gottfried Wilhelm Leibniz University of Hannover Germany
                [4 ] Universidad de Concepción Chile
                Article
                S0718-58392011000300018
                10.4067/S0718-58392011000300018
                4b981012-2f9a-43b1-8e47-531ba13d7c6b

                http://creativecommons.org/licenses/by/4.0/

                History
                Product

                SciELO Chile

                Self URI (journal page): http://www.scielo.cl/scielo.php?script=sci_serial&pid=0718-5839&lng=en
                Categories
                AGRICULTURE, MULTIDISCIPLINARY
                AGRONOMY

                General agriculture,Horticulture
                Flow simulation,monthly water balance,surface water hydrology,water resources,Simulación de caudales,balance hídrico mensual,hidrología superficial,recursos hídricos

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