Southern Brazil rainfall variability

  • Jonas Teixeira Nery UEM
  • Maria de Lourdes Orsini Fernandes Martins UEM
  • João Lima Neto Sant'Ana UEM

Abstract

Seasonal and annual rainfall fluctuations were studied in the Brazilian states of São Paulo, Paraná, Santa Catarina and Rio Grande do Sul, using DNAEE (Departamento Nacional de Águas e Energia Elétrica) e DAEE (Departamento de Águas e Energia Elétrica) data, from 1960 to 1991. The aims were to establish a precipitation seasonal scale model in each State and to understand its variability during wet and dry periods, through different statistical (descriptions) methods. The deterministic processes were filtered as, for instance, the highly pronounced annual cycle. Spectral analysis was used to obtain new series in which unknown processes were shown. The studied precipitation got maximum values in the wet period and minimum values in the dry period in São Paulo, coastal and northeastern Paraná and Santa Catarina coast. In the continentals Paraná and Santa Catarina, and in all Rio Grande do Sul, the precipitation structure was homogeneous. The variability after filtering showed that the series were essentially dominated by randon processes. Persistence, when present, is given by annual wave.

Downloads

Download data is not yet available.

Author Biography

Jonas Teixeira Nery, UEM
Possui graduação em Meteorologia pela Universidade Federal do Rio de Janeiro (1978) e doutorado em Meteorologia pela Universidade de Buenos Aires (1993). Atualmente é professor assistente doutor - UNESP - Cãmpus Experimental de Ourinhos. Tem experiência na área de Geociências, com ênfase em Meteorologia Aplicada, atuando principalmente nos seguintes temas: precipitação, variabilidade, el niño, anomalias e enos. Fez pós doutorado no INPE, na área de Meteorologia por Satélite. Professor do Programa de Pós Graduação em Geografia de Presidente Prudente Currículo Lattes
Published
2008-04-22
How to Cite
Nery, J. T., Martins, M. de L. O. F., & Neto Sant’Ana, J. L. (2008). Southern Brazil rainfall variability. Acta Scientiarum. Technology, 24, 1687-1695. https://doi.org/10.4025/actascitechnol.v24i0.2501
Section
Physics

 

0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus

 

 

0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus