EXTREME PRECIPITATION EPISODE IN RIO DE JANEIRO: SYNOPTIC ANALYSIS, NUMERICAL SIMULATION AND COMPARISON AMONG PREVIOUS EVENTS

Authors

  • Kelen Martins Andrade Centro de Previsão de Tempo e Estudos Climáticos/Instituto Nacional de Pesquisas Espaciais (CPTEC-INPE, Cachoeira Paulista, Brasil
  • Henri Rossi Pinheiro Centro de Previsão de Tempo e Estudos Climáticos/Instituto Nacional de Pesquisas Espaciais (CPTEC-INPE, Cachoeira Paulista, Brasil
  • Giovanni Dolif Neto Centro de Previsão de Tempo e Estudos Climáticos/Instituto Nacional de Pesquisas Espaciais (CPTEC-INPE, Cachoeira Paulista, Brasil

DOI:

https://doi.org/10.5902/2179460X16236

Keywords:

Evento extremo, modelo numérico, previsibilidade

Abstract

http://dx.doi.org/10.5902/2179460X16236

The purpose of this study is to analyze the synoptic pattern and to verify the skill of numerical models (ETA15km, BRAMS20km and GFS) for intense rainfall event in the coastal of São Paulo and Rio de Janeiro states, Baixada Fluminense and the Mountain Region of Rio de Janeiro in march 17-18, 2013. In some places the rainfall in 24 hours exceeded 100 mm, reaching maximum of 424.5 mm in Petropolis. An objective tool was used for obtaining synoptic patterns occurred in the past similar to the extreme event studied. Heavy precipitation was caused by the presence of a cold front associated with intense low levels circulation, contributing for moisture advection from Atlantic Ocean toward the continent. The regional numerical models satisfactorily predicted the heavy rainfall episode. However, the intensity and location of heavy rainfall is still a challenge for numerical modeling.

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Author Biography

Kelen Martins Andrade, Centro de Previsão de Tempo e Estudos Climáticos/Instituto Nacional de Pesquisas Espaciais (CPTEC-INPE, Cachoeira Paulista, Brasil

Kelen Martins Andrade1, Henri Rossi Pinheiro1 e Giovanni Dolif Neto1

Published

2015-03-07

How to Cite

Andrade, K. M., Pinheiro, H. R., & Dolif Neto, G. (2015). EXTREME PRECIPITATION EPISODE IN RIO DE JANEIRO: SYNOPTIC ANALYSIS, NUMERICAL SIMULATION AND COMPARISON AMONG PREVIOUS EVENTS. Ciência E Natura, 37, 175–180. https://doi.org/10.5902/2179460X16236