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

• Autor(a) principal: Oliveira, Soetânia Santos de
• Data de Publicação: 2020
• Outros Autores: Souza, Amaury de, Abreu, Marcel Carvalho, Oliveira Júnior, José Francisco de, Cavazzana, Guilherme Henrique
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Brasileira de Climatologia (Online)
• Texto Completo: https://revistas.ufpr.br/revistaabclima/article/view/69407
• topic: Mato Grosso do Sul; rainfall; RAI; El Niño; La Niña

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.