SueMulador: Herramienta para la Simulación de Datos Faltantes en Series Climáticas Diarias de Zonas Ecuatoriales
SueMulador: A Tool For Missing Data Simulation of Climatic Series in Equatorial Zones
DOI:
https://doi.org/10.15446/rfnam.v67n2.44179Keywords:
Series de tiempo, meteorologia, modelos de cultivo, variabilidad climática (es)Time series, meteorology, crop models, climate variability (en)
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En la actualidad, los modelos de cultivo son una herramienta útil a la hora de tomar decisiones, no obstante, pese a su disponibilidad y facilidad de uso, la información necesaria para utilizarlos no existe o no tiene la calidad suficiente. Un ejemplo preciso del déficit de calidad en los datos lo constituyen las series meteorológicas diarias en las que predominan faltantes. Para hacer frente a esta situación y poder utilizar los modelos de cultivo se elaboró un software para llenar espacios vacíos en series climáticas diarias, basada en una cadena de Markov de orden dos y dos estados. La herramienta llamada SueMulador, se probó y validó con éxito en tres estaciones ubicadas en zonas contrastantes de la geografía colombiana.
Currently, crop models are an useful tool for decision making; however, even though they are available and are easy to use, the information needed to use does not exist or not have sufficient quality. A specific example of the lack of quality is the daily weather series, in which there is too much missing data. To address this situation and to use crop models, we developed a software to fill gaps in daily climate series based on a Markov chain of order two and two states. The new tool, called SueMulador, was successfully tested and validated in three contrasting regions of Colombia.
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1. Héctor Alberto Chica Ramirez, Luis Fernando Gómez Gil, Juan José Bravo Bastidas, Javier Alí Carbonell González, Andrés Javier Peña Quiñones. (2021). Site-specific intra-annual rainfall patterns: a tool for agricultural planning in the Colombian sugarcane production zone. Theoretical and Applied Climatology, 146(1-2), p.543. https://doi.org/10.1007/s00704-021-03755-1.
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