%0 Journal Article
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%@nexthigherunit 8JMKD3MGPCW/3EU29DP
%@archivingpolicy denypublisher denyfinaldraft
%@issn 1757-7780
%@issn 1757-7799
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JH3D
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JGT6
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%3 wavelet analysis.pdf
%B WIREs Climate Change
%X In this work we apply the wavelet transform to the Pelotas (southern Brazil) total annual rainfall series (1894-1995). Classical, wavelet and cross-wavelet analyses were performed in the El Nino Southern Oscillation (ENSO), Quasi-Biennial Oscillation (QBO), sunspot number (Rz) and Pelotas rainfall time series. Classical spectral analysis for Pelotas has shown a large number of short periods - between 2.2-5.6 years (yr) and periods at 8.9, 11.7 and 24.9 yr. Further, we have found that the Pelotas rainfall wavelet spectrum shows the most significant periodicities around 2-8 yr, but they have an intermittent character. Cross-wavelet spectrum showed that: rainfall and QBO series are correlated at 2-3 yr (QBO) scales and this cross-power is continuous along the time series interval; rainfall and SOI have higher cross-power around 4-8 yr, but this signal is sporadic; rainfall and sunspot number (Rz) showed higher cross-power around the 11-yr solar cycle period, but this cross-power is sporadically high and low; finally, the rainfall cross-spectrum with the double sunspot number (Rz22) revealed a high cross-power around 20-22 yr which is more persistent in duration, compared to the 11-yr period. These wavelet results are compared with classical spectral analysis and with previous work results. We concluded that the phenomenon that influences most of Pelotas rainfall variability is ENSO, but only a minor part of the variance (similar to 30%) can be described by a simple multi-linear dependence on solar/ENSO/QBO phenomena, this result could imply that non-linear coupling among sun and internal climatic variability (QBO, ENSO) has an important role in the local/regional climate variations.
%8 Apr.
%N 3/4
%T Wavelet analysis of a centennial (1895-1994) southern Brazil rainfall series
%@secondarytype PRE PI
%K Wavelet analysis, Rainfall, GEOPHYSICS.
%@visibility shown
%@group DGE-CEA-INPE-MCT-BR
%@group DGE-CEA-INPE-MCT-BR
%@group DGE-CEA-INPE-MCT-BR
%@group DGE-CEA-INPE-MCT-BR
%@group DGE-CEA-INPE-MCT-BR
%@secondarykey INPE--PRE/
%2 sid.inpe.br/mtc-m17@80/2007/06.26.16.57.19
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%P 489-497
%4 sid.inpe.br/mtc-m17@80/2007/06.26.16.57
%D 2008
%V 87
%@doi 10.1007/s10584-007-9296-6
%A Echer, Mariza Pereira de Souza,
%A Echer, Ezequiel,
%A Rigozo, Nivaor Rodolfo,
%A Nordemann, Daniel Jean Roger,
%A Prestes, Alan,
%@area CEA