SPACE-TEMPORAL CHARACTERIZATION OF SOUTH MATO GROSSO PRECIPITATION: RAIN DISTRIBUTION AND RAIN ANOMALY INDEX (IAC) ANALYSIS FOR CLIMATE PHENOMENA

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DOI:

https://doi.org/10.5380/abclima.v27i0.69407

Palavras-chave:

Mato Grosso do Sul, rainfall, RAI, El Niño, La Niña

Resumo

This study examined the ENSO and Rain Anomaly Index in Mato Grosso do Sul state using rainfall data from 32 sites obtained from the National Water Agency through its web platform (www.hidroweb.ana.gov.br). Annual totals were compared with ENSO occurrence information at http://www.cpc.ncep.noaa.gov. Precipitation anomaly indices (ACI) were generated to qualitatively evaluate the series with ENSO. The years considered in El Niño were classified as extremely wet by the IAC. La Niña's effect was confirmed by the IAC as extremely dry years. Comparing the IAC obtained from the NOAA website information there is a good correspondence between the years under the action of the positive component of ENSO.

Biografia do Autor

Soetânia Santos de Oliveira, Centro Universitário UNIFIP

Graduada em lic. física (UEPB), mestre e doutora em meteorlogia (UFCG), professora de física lotada no departamento de eng. civil (UNIFIP), pesquisadora nas áreas de energias renováveis, modelagem atmosféica, poluição e climatologia.

Marcel Carvalho Abreu, Universidade Federal Rural do Rio de Janeiro

Departamento de Ciências Ambientais, Instituto de Florestas, Universidade Federal Rural do Rio de Janeiro, Seropédica, Rio de Janeiro, Brasil.

José Francisco de Oliveira Júnior, Universidade Federal de Alagoas

Instituto de Meteorologia, Universidade Federal de Alagoas, Brazil.

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Publicado

2020-07-20

Como Citar

Oliveira, S. S. de, Souza, A. de, Abreu, M. C., Oliveira Júnior, J. F. de, & Cavazzana, G. H. (2020). SPACE-TEMPORAL CHARACTERIZATION OF SOUTH MATO GROSSO PRECIPITATION: RAIN DISTRIBUTION AND RAIN ANOMALY INDEX (IAC) ANALYSIS FOR CLIMATE PHENOMENA. Revista Brasileira De Climatologia, 27. https://doi.org/10.5380/abclima.v27i0.69407

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