Resumo

CHICA RAMIREZ, Héctor Alberto et al. SueMulador: A Tool For Missing Data Simulation of Climatic Series in Equatorial Zones. Rev. Fac. Nac. Agron. Medellín [online]. 2014, vol.67, n.2, pp.7365-7373. ISSN 0304-2847.  https://doi.org/10.15446/rfnam.v67n2.44179.

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.

Palavras-chave : Time series; meteorology; crop models; climate variability.

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