Comparación de métodos de interpolación para la evaluación de datos de precipitación espacial y temporal provenientes de pluviómetros y un radar meteorológico en la cuenca alta del río Paute

Abstract

The quantitative estimate temporal space of precipitation in a given area is of great importance as a tool for modelling and water resources management such as water for human consumption, agriculture and energy, mitigation of drought, control floods, road designs, the crops forecast and monitoring of adverse weather events as well as for many other applications. This project is focused on the evaluation of the effectiveness of interpolation method IDW (Inverse Distance Weight), using in a first case, only information of rain gauges and a second case integrating images of weather radar with rain gauge data applied to three strong events of precipitation in three different resolutions of pixel (100, 250 y 500 m). The results show that the second case as the optimal for estimating the average rainfall in places devoid of information from data collected by rain gauges and radar in the upper basin of the river Paute. This study establishes the implementation of a programming code, which allows to evaluate the above - mentioned interpolation techniques, so that you get to become guide for the future analyses or investigation.