@MastersThesis{Reis:2020:EsOnIn,
author = "Reis, Giullian N{\'{\i}}cola Lima dos",
title = "Estudo das ondas de instabilidade tropical no Oceano
Atl{\^a}ntico e seus impactos na atmosfera",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2020",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2020-03-30",
keywords = "ondas de instabilidade tropical, Oceano Atl{\^a}ntico, COAWST,
tropical instability waves, Atlantic Ocean.",
abstract = "Este trabalho investiga o comportamento das anomalias de
Temperatura da Superf{\'{\i}}cie do Mar (TSM) formadas por Ondas
de Instabilidade Tropical (OIT) no Oceano Atl{\^a}ntico e seus
impactos na atmosfera. As OIT s{\~a}o estudadas atrav{\'e}s de
dados satelitais de TSM e o magnitude do vento oriundos do
Advanced Very High Resolution Radiometer (AVHRR) e SeaWinds para o
per{\'{\i}}odo 19912017. Atrav{\'e}s de an{\'a}lises
espectrais e estat{\'{\i}}sticas foi poss{\'{\i}}vel definir
suas caracter{\'{\i}}sticas espaciais e temporais. Ademais, para
determinar o impacto destas ondas na atmosfera sobrejacente foi
utilizado o sistema de modelagem acoplado Coupled
Ocean-Atmosphere-Wave-Sediment System (COAWST). Foram realizadas
duas simula{\c{c}}{\~o}es num{\'e}ricas, sendo aplicado um
filtro passa-baixa em uma delas, para que fosse isolado somente o
efeito da mesoescala a partir da diferen{\c{c}}a entre as
simula{\c{c}}{\~o}es. A an{\'a}lise dos dados de TSM revelou as
seguintes caracter{\'{\i}}sticas: velocidade de fase de
0,31-0,68 m/s, comprimentos de onda de 768.08-1609.91 km e
per{\'{\i}}odos de 25-33 dias. Os dados de TSM filtrados na
banda 20-40 dias mostraram que a regi{\~a}o ao redor de 1ºN-15ºW
concentra grande parte de suas variabilidade de TSM associada
{\`a}s OIT. A rela{\c{c}}{\~a}o entre a TSM e magnitude do
vento foram analisadas atrav{\'e}s dos dados filtrados sugerindo
uma forte interconex{\~a}o entre essas vari{\'a}veis tipicamente
de Julho a Outubro. Os resultados da modelagem num{\'e}rica
mostraram que os processos f{\'{\i}}sicos necess{\'a}rios para
a forma{\c{c}}{\~a}o das OIT, assim como seu padr{\~a}o
espacial, mostrando estruturas similares {\`a}s
observa{\c{c}}{\~o}es nas mesmas {\'e}pocas do ano em que elas
ocorrem. A diferen{\c{c}}a espacial e vertical entre as
simula{\c{c}}{\~o}es isolaram o efeito da mesoescala e mostrou
seu efeito nas vari{\'a}veis atmosf{\'e}ricas: temperatura do
ar, press{\~a}o, altura da camada limite atmosf{\'e}rica,
componentes zonal e meridional do vento, magnitude do vento e
precipita{\c{c}}{\~a}o. As simula{\c{c}}{\~o}es foram
validadas atrav{\'e}s dos dados sat{\'e}lites assim como dados
in situ do Prediction And Research Moored Array In The Atlantic
(PIRATA), atrav{\'e}s de m{\'e}tricas estat{\'{\i}}sticas que
mostraram uma boa resposta para os dados de vento e TSM para a
regi{\~a}o do oceano Atl{\^a}ntico. This work investigates the
behavior of Sea Surface Temperature (SST) anomalies formed by
Tropical Instability Waves (TIW) in the Atlantic Ocean and their
impacts on the atmosphere. TIW are studied using satellite SST
data and wind magnitude from the Advanced Very High Resolution
Radiometer (AVHRR) and SeaWinds for the period 19912017. Through
spectral and statistical analysis it was possible to define its
spatial and temporal characteristics. In addition, the Coupled
Ocean-Atmosphere-Wave-Sediment System (COAWST) a coupled modeling
system was used to determine the impact of these waves on the
atmosphere. Two numerical simulations were carried out and a
low-pass filter was applied to one of them, so that only the
mesoscale effect was isolated from the difference between the
simulations. The analysis of the SST data revealed the following
characteristics: phase speed of 0.31-0.68 m/s, wavelengths of
768.08-1609.91 km and periods of 25-33 days. The SST data filtered
in the 20-40 day band showed that the region around 1ºN-15ºW
concentrates a large part of SST variability associated with TIW.
The relationship between SST and wind magnitude was analyzed using
the filtered data suggesting a strong interconnection between
these variables, typically from July to October. The results of
the numerical modeling showed that the physical processes
necessary for the formation of the TIW, as well as their spatial
pattern, showing structures similar to the observations at the
same times of the year in which they occur. The spatial and
vertical differences between the simulations isolated the
mesoscale effect and showed its effect on atmospheric variables:
The simulations were validated using satellite data as well as in
situ data from the Prediction And Research Moored Array In The
Atlantic (PIRATA), using statistical metrics that showed a good
results to wind and SST data for the Atlantic Ocean region.",
committee = "Lorenzzetti, Jo{\~a}o Antonio (presidente) and Pezzi, Luciano
Ponzi (orientador) and Sales, Domingo Cassain",
englishtitle = "Study of tropical instability waves in the Atlantic Ocean and
their impacts on the atmosphere",
language = "pt",
pages = "86",
ibi = "8JMKD3MGP3W34R/428TANB",
url = "http://urlib.net/ibi/8JMKD3MGP3W34R/428TANB",
targetfile = "publicacao.pdf",
urlaccessdate = "20 abr. 2024"
}