@InProceedings{FreitasKamp:2015:VaFrTé,
author = "Freitas, Leandro Rodrigues de and Kampel, Milton",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Variabilidade de frentes t{\'e}rmicas oce{\^a}nicas observadas
por sensoriamento remoto na costa brasileira",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3995--4002",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Thermal oceanic fronts exert influence on various components of
the adjacent marine and atmospheric environment. Thus, the
knowledge of its space-time variability is quite important. In the
present study a remote sensing database of sea surface temperature
(SST) and a computational algorithm were used to locate, map and
characterize the oceanic thermal fronts in the
south-east-southeast coast of Brazil. This methodology represented
significant improvement compared to previous studies in two
aspects. Firstly there was an expansion of the studied area, which
included the continental shelf and the deep zone from the Abrolhos
Bank to the southern Rio Grande do Sul. Secondly, there was an
increase of employed time series, which comprised 10 years of SST
data. With this study it was possible to detect and characterize
the seasonal signature of thermal fronts of known phenomena, such
as the intrusion of the Coastal Brazil Current, the internal
thermal front and the vortices of the Brazil Current, coastal
upwelling and riverine plumes. The methodology used in this study
can be replicated to other areas or even adapted for using with
other databases derived from satellite sensors such as
chlorophyll-a and salinity.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "793",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4CAS",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4CAS",
targetfile = "p0793.pdf",
type = "Oceanografia",
urlaccessdate = "27 abr. 2024"
}