Integración de imágenes satelitales de precipitación TRMM con información de pluviómetros para los años 2001 y 2002 en Ecuador

Abstract

An accurate spatiotemporal characterization of precipitation becomes an important tool for management and modeling water resources, such as agriculture and energy, mitigation of drought, flood control, road design, and forecasting of crops and extreme events. This paper focuses on the evaluation of the effectiveness that can present geostatistical interpolation methods to mergeTRMM satellite images with rain gauges data in a monthly time scale for continental Ecuador. Kriging interpolation techniques were evaluated: Ordinary, Universal and Regression, the latest one results as the optimal; however, the other methods showdependable predictions when we analyze spatial rainfall. This research provides a code as implementation that allows the evaluationof geostatistical methods, so it is set to be a guide for future analysis of Kriging interpolation techniques.