Control de calidad de los bases de datos de las estaciones meteorológicas de la UTPL respecto al periodo 2011 2022 y generación de mapas temáticos

Abstract

Abstract: Quality control (QC) of databases is crucial to ensure the representativeness, accuracy, and reliability of information. This research focused on the QC of meteorological databases from UTPL stations during the period 2011-2022, located in a mountainous region near Loja. Various QC methods were applied to daily and monthly data, including record counting and the determination of reliable ranges for each meteorological variable. Semi-annual thematic maps were created to compare the revised information with the original. Results indicate that gaps in data series do not significantly affect temperatures and relative humidity, given their low spatiotemporal variability in the tropical zone. However, measurement errors influence derived meteorological variables, such as evaporation. Missing data primarily impact precipitation accuracy, leading to an underestimation of real values. In summary, the application of QC methods to original series is indispensable to avoid inaccurate conclusions, especially in environmental, climatic, and hydrological research, where unnecessary implementations or insufficient measures could arise.