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A methodological proposal for quality control of the soil moisture variable, measured in Colombian automatic agrometeorological stations
Propuesta metodológica para el control de calidad de la variable humedad del suelo, medida en las estaciones agrometeorológicas automáticas colombianas
DOI:
https://doi.org/10.15446/rfnam.v75n3.99145Keywords:
Agrometeorology, Physical limits, Soil moisture , Spectrum consistency (en)Agrometeorología, Límites físicos , Humedad del suelo , Consistencia del espectro (es)
Methodological criteria for data quality control with geophysical range and spectrum consistency were evaluated, establishing flags and quality indicators for soil moisture data records, in a range of depths between 10, 30, and 50 cm, from automatic agro-meteorological stations located in the most important agricultural regions of Colombia. Data for analysis were collected from 105 stations of the IDEAM network, in an observation window from 2001-2020. The results showed that 40.3% of the soil moisture data were of good quality, 12.9% were questionable due to spectrum flags, 14.3% were questionable due to geophysical range and 32% were erroneous because the values were not possible and/or missing. The depth closest to the surface had the highest number of quality flags, suggesting that the soil layer has the highest error detection rate associated with soil moisture condition recording; the most common quality flag was C02: “Soil moisture >60% & ≤100%”, detected in 93% of the sensors, and the second most frequent flag was C01: “Soil moisture ≥0% & <3%”. It was concluded that the proposed methodology provides highly satisfactory results in the detection of anomalous soil moisture records, in order to make adjustments to the environmental conditions of Colombia.
Se evaluaron criterios metodológicos para el control de calidad de datos con rango geofísico y consistencia del espectro, estableciendo banderas e indicadores de calidad para los registros de datos de humedad del suelo, en un rango de profundidades comprendido entre los 10, 30 y 50 cm, de las estaciones agrometeorológicas automáticas ubicadas en las regiones agrícolas más importantes de Colombia. Los datos para su análisis fueron recopilados en 105 estaciones de la red del IDEAM, en una ventana de observación comprendida entre los años 2001-2020. Los resultados evidenciaron que el 40,3% de los datos de humedad del suelo eran buena calidad, el 12,9% eran dudosos por banderas de espectro, el 14,3% eran dudosos por rango geofísico y el 32% eran erróneos porque los valores no eran posibles y/o faltaban. La profundidad más cercana a la superficie tuvo el mayor número de banderas de calidad, lo que sugiere que la capa de suelo presenta la mayor tasa de detección de errores asociada con el registro de la condición de humedad del suelo; la bandera de calidad más común fue C02: “Humedad del suelo > 60% & < = 100%”, detectada en el 93% de los sensores, y la segunda bandera más frecuente fue C01: “Humedad del suelo > = 0% & <3%”. Se concluyó que la metodología propuesta proporciona resultados altamente satisfactorios en la detección de registros anómalos de la humedad del suelo, para efectuar ajustes a las condiciones ambientales de Colombia.
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