@MastersThesis{Oliveira:2008:InPaAt,
author = "Oliveira, Cristiano Prestrelo de",
title = "Influ{\^e}ncia do Pac{\'{\i}}fico e Atl{\^a}ntico na
variabilidade interanual da precipita{\c{c}}{\~a}o sobre a
Am{\'e}ica do Sul",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2008",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2008-03-20",
keywords = "correla{\c{c}}{\~a}o, ondaleta, oscila{\c{c}}{\~a}o decenal do
Pac{\'{\i}}fico, El Niņo oscila{\c{c}}{\~a}o sul,
Atl{\^a}ntico Tropical, correlation, wavelet, Pacific decadal
oscillation, el Niņo south oscillation, Tropical Atlantic.",
abstract = "O objetivo principal deste trabalho foi investigar a
import{\^a}ncia relativa dos setores tropicais e subtropical sul
do Atl{\^a}ntico e dos setores equatorial leste e subtropical sul
do Pac{\'{\i}}fico na variabilidade interanual da
precipita{\c{c}}{\~a}o considerando as fases da
Oscila{\c{c}}{\~a}o Decenal do Pac{\'{\i}}fico (ODP). Foram
utilizados dados mensais de precipita{\c{c}}{\~a}o e Temperatura
da Superf{\'{\i}}cie do Mar (TSM). Os {\'{\i}}ndices de TSM
foram obtidos para os setores oce{\^a}nicos selecionados
(Pac{\'{\i}}fico equatorial leste - PEL, Pac{\'{\i}}fico
subtropical sul - PSS, Atl{\^a}ntico tropical norte - ATN,
Atl{\^a}ntico tropical sul - ATS e Atl{\^a}ntico subtropical sul
- ASS). A Transformada de Ondaleta foi {\`a} t{\'e}cnica usada
para identificar as escalas dominantes dos {\'{\i}}ndices de TSM
durante o per{\'{\i}}odo 1948-2002, bem como para filtrar os
dados na escala interanual. As an{\'a}lises s{\~a}o baseadas nos
mapas de correla{\c{c}}{\~a}o, que foram obtidos dos
c{\'a}lculos de correla{\c{c}}{\~o}es simult{\^a}neas e
defasados, totais e parciais. As an{\'a}lises mostraram que os
dois setores do Pac{\'{\i}}fico t{\^e}m uma rela{\c{c}}{\~a}o
inversa com a precipita{\c{c}}{\~a}o. Para os setores do
Atl{\^a}ntico, o ATN quase n{\~a}o tem influ{\^e}ncia na
precipita{\c{c}}{\~a}o, enquanto o ATS e o ASS afetaram
consideravelmente a precipita{\c{c}}{\~a}o em {\'a}reas
distintas da Am{\'e}rica do Sul. As an{\'a}lises mostraram
tamb{\'e}m diferen{\c{c}}as entre as duas fases da ODP nas
rela{\c{c}}{\~o}es dos {\'{\i}}ndices de TSM e a
precipita{\c{c}}{\~a}o sobre a Am{\'e}rica do Sul. ABSTRACT:
The main objective of the present work was to investigate the
relative importance of the tropical and southern subtropical
sectors of the Atlantic and the eastern equatorial and southern
subtropical sectors of the Pacific in the interannual
precipitation variability taking into account the Pacific decadal
oscillation (PDO) phases. Monthly precipitation and sea surface
temperature (SST) data were used. The SST indices were obtained
for selected oceanic sectors (eastern equatorial Pacific - EEP,
southeastern subtropical Pacific - SSP, tropical North Atlantic
-TNA, tropical South Atlantic -TSA and subtropical south Atlantic
- SSA). The wavelet transform technique was used to identify the
dominant scales of the SST indices during the 1948-2002 period, as
well as to filter the data for the interannual scale. Analyses are
based on correlation maps, which were obtained from simultaneous
and lagged and total and partial correlation calculations. The
analyses showed that the two Pacific sectors have inversed
relationships with the precipitation. For the Atlantic sectors,
the TNA almost does not have influence on the precipitation, while
the TSA and SSA affect considerably the precipitation of distinct
areas of South America. The analyses showed also differences
between the two phases of the PDO in the relations of the SST
indices and the precipitation over South America.",
committee = "Sansigolo, Cl{\'o}vis Angeli (presidente) and Kayano, Mary Toshie
(orientadora) and Pezzi, Luciano Ponzi and Ambrizzi, T{\'e}rcio",
copyholder = "SID/SCD",
englishtitle = "Influence of the Pacific and Atlantic in the interannual
precipitation variability over South America",
language = "pt",
pages = "103",
ibi = "8JMKD3MGPBW/32JR6RB",
url = "http://urlib.net/ibi/8JMKD3MGPBW/32JR6RB",
targetfile = "publicacao.pdf",
urlaccessdate = "08 maio 2024"
}