Meu SciELO
Serviços Personalizados
Artigo
Indicadores
- Citado por SciELO
Links relacionados
- Similares em SciELO
Compartilhar
Revista Cubana de Meteorología
versão On-line ISSN 2664-0880
Resumo
CENTELLA-ARTOLA, Abel; FONSECA-RIVERA, Cecilia e GONZALEZ-GARCIA, Idelmis. R_SVsequia: A New automatic climate service for meteorological drought monitoring in Cuba. Rev. Cubana Met. [online]. 2023, vol.29, n.4 Epub 01-Dez-2023. ISSN 2664-0880.
In this work we describe the development of R_SVsequia a new automatic system for rainfall processing and drought monitoring at INSMET. The application was developed using RStudio IDE and the R software and has the ability to perform all the tasks with a high level of efficiency and operability. The execution of R_SVsequia only depends on rainfall data from the National Institute of Hydraulic Resources and of a set of parameters that an be passed through a name list file. The system produces many data files which are summarized as tables, graphs and maps for monitoring purposes or can be used for research activities. Several types of the system outputs are totally new and could increase the ability of climate experts to produce better analysis and reports. In essence, R_SVsequia represents a innovation to the climate service framework related with drought monitoring adding efficiency, versatility and reliability in the execution of processes and their results, compared to previous systems.
Palavras-chave : Drought; Climate Monitoring; SPI; Automated System.