Spatial and Temporal Analysis of Precipitation in the Colombian Orinoquía (1981–2024) Using CHIRPS Satellite Images

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dc.creatorVargas-Pineda, Oscar Iván
dc.creatorCastañeda-Rodríguez, Daniel Santiago
dc.creatorBlanco-Gutiérrez, Irene
dc.date2025-10-08
dc.descriptionThe management of water resources in the Colombian Orinoquía region, a strategic region for the country's agricultural development, is limited by the scarcity of rainfall records, which generates uncertainty in planning. To address this limitation, the objective of this research was to perform a spatial and temporal validation of precipitation data from the Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS) satellite product for the period 1981–2024 in the Orinoquía region, in order to evaluate its usefulness as an alternative source of climate information. The methodology employed consisted of comparing the CHIRPS time series with historical records from 226 rainfall stations of the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM). The validation was based on a comparative statistical analysis, using performance metrics such as correlation coefficients (R), coefficient of determination (R²), bias (BIAS), root mean square error (RMSE), and mean absolute deviation (MAD). The results indicate a remarkable correspondence between both data sources. A total of 56.18% of the data are strongly correlated, while 49.44% adequately explained precipitation variability, with R² values ranging from 0.74 to 0.90. The error metrics, although mostly acceptable, revealed a tendency toward underestimation by the satellite product, which was particularly significant during the rainiest months, such as July and October. Finally, it is concluded that the CHIRPS precipitation data constitute a valid and robust source of information to complement the terrestrial monitoring network in the Orinoquía. Despite the seasonal underestimations identified, which should be considered in specific studies, its overall performance supports its direct application in hydrological modeling and agricultural planning, as a crucial tool for moving toward more efficient and sustainable resource management in the region.en-US
dc.descriptionLa gestión de recursos hídricos en la Orinoquía colombiana, región estratégica para el desarrollo agrícola del país, es limitada por la escasez de registros pluviométricos, lo que genera incertidumbre en la planificación. Para abordar esta limitación, el objetivo de esta investigación fue realizar una validación espacial y temporal de los datos de precipitación del producto satelital Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) para el periodo 1981-2024 en la región de la Orinoquia, con el fin de evaluar su utilidad como fuente alternativa de información climática. La metodología empleada consistió en la comparación de las series temporales de CHIRPS con los registros históricos de 226 estaciones pluviométricas del Instituto de Hidrología, Meteorología y Estudios Ambientales IDEAM. La validación se fundamentó en un análisis estadístico comparativo, utilizando métricas de desempeño como coeficientes de correlación (R), coeficiente de determinación (R²), sesgo (BIAS), error cuadrático medio (RMSE) y desviación media absoluta (MAD). Los resultados indicaron correspondencia notable entre ambas fuentes de datos. El 56.18 % de los datos están fuertemente relacionados, mientras que el 49.44 % de los datos explicaron adecuadamente la variabilidad de la precipitación, con valores de R² que oscilaron entre 0.74 y 0.90. Las métricas de error, aunque mayoritariamente aceptables, revelaron una tendencia a la subestimación por parte del producto satelital, la cual fue particularmente significativa durante los meses de mayor pluviosidad, como julio y octubre. Finalmente, se concluye que los datos de precipitación de CHIRPS constituyen una fuente de información válida y robusta para complementar la red de monitoreo terrestre en la Orinoquía. A pesar de las subestimaciones estacionales identificadas, que deben ser consideradas en estudios específicos, su desempeño general respalda su aplicación directa en la modelación hidrológica y la planificación agrícola, como una herramienta crucial para avanzar hacia una gestión de recursos más eficiente y sostenible en la región.es-ES
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dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3305
dc.identifier10.22430/22565337.3305
dc.languagespa
dc.publisherInstituto Tecnológico Metropolitano (ITM)en-US
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3305/3797
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3305/3899
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3305/3900
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3305/4010
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3305/4093
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dc.rightsCopyright (c) 2025 TecnoLógicasen-US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0en-US
dc.sourceTecnoLógicas; Vol. 28 No. 64 (2025); e3305en-US
dc.sourceTecnoLógicas; Vol. 28 Núm. 64 (2025); e3305es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectprecipitaciónes-ES
dc.subjectteledetecciónes-ES
dc.subjectanálisis de series temporaleses-ES
dc.subjectrecursos hídricoses-ES
dc.subjectagriculturaes-ES
dc.subjectprecipitationen-US
dc.subjectremote sensingen-US
dc.subjecttime series analysisen-US
dc.subjectwater resourcesen-US
dc.subjectagricultureen-US
dc.titleSpatial and Temporal Analysis of Precipitation in the Colombian Orinoquía (1981–2024) Using CHIRPS Satellite Imagesen-US
dc.titleAnálisis espacial y temporal de la precipitación en la Orinoquía Colombiana (1981–2024) a partir de imágenes satelitales CHIRPSes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeResearch Papersen-US
dc.typeArtículos de investigaciónes-ES

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