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

Autores

  • Soetânia Santos de Oliveira
  • Amaury de Souza
  • Marcel Carvalho Abreu
  • José Francisco de Oliveira Júnior
  • Guilherme Henrique Cavazzana

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.

Downloads

Não há dados estatísticos.

Downloads

Publicado

05-03-2021

Como Citar

Oliveira, S. S. de, Souza, A. de, Abreu, M. C., Oliveira Júnior, J. F. de, & Cavazzana, G. H. (2021). SPACE-TEMPORAL CHARACTERIZATION OF SOUTH MATO GROSSO PRECIPITATION: RAIN DISTRIBUTION AND RAIN ANOMALY INDEX (IAC) ANALYSIS FOR CLIMATE PHENOMENA. Revista Brasileira De Climatologia, 27, 181–201. https://doi.org/10.5380/abclima.v27i0.69407

Edição

Seção

Artigos