Prueba e implementación de algoritmos de control de calidad de datos de temperatura superficial del aire en un contexto operativo
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Authors
Araya López, José L.
Alfaro Martínez, Eric J.
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Abstract
Se presenta una metodología para el
cálculo de rangos de temperatura, así como
algoritmos de programación simple para
la detección de errores obvios en datos
meteorológicos con el fin de mostrar cómo
un sistema de control de calidad sencillo,
en tiempo real, puede implementarse de
forma exitosa. Estos algoritmos fueron probados a través de su programación en
un grabador de datos, el cual es el núcleo
procesador en una estación meteorológica:
primero, bajo condiciones controladas; y,
luego, en dos estaciones meteorológicas
automáticas con capacidad de transmisión
en tiempo real. La investigación realizada
muestra que estos algoritmos son efectivos
para la detección de valores atípicos que
de otra manera podrían ser detectados
tardíamente y pasar inadvertidos
A methodology for the calculation of temperature ranges and easily programmable algorithms for detecting gross errors in meteorological measurements are suggested to show how a basic real-time quality control system can be successfully established. As a first approximation, these algorithms were implemented through Data Logger programming and tested under controlled conditions. Determination of ranges was made analysing data sets of two realtime automatic weather stations. The results of this research show that these algorithms can detect suspicious values in a straightforward manner, which avoids making such checks at a later stage and preventing outliers from going undetected.
A methodology for the calculation of temperature ranges and easily programmable algorithms for detecting gross errors in meteorological measurements are suggested to show how a basic real-time quality control system can be successfully established. As a first approximation, these algorithms were implemented through Data Logger programming and tested under controlled conditions. Determination of ranges was made analysing data sets of two realtime automatic weather stations. The results of this research show that these algorithms can detect suspicious values in a straightforward manner, which avoids making such checks at a later stage and preventing outliers from going undetected.
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Keywords
CONTROL DE CALIDAD, BASE DE DATOS, TEMPERATURA, METEOROLOGÍA