@MastersThesis{Azevedo:2020:AvTeSu,
author = "Azevedo, Mayna Helena",
title = "Avalia{\c{c}}{\~a}o da temperatura da superf{\'{\i}}cie do mar
estimada pelo sensor ABI/GOES-16, no oceano Atl{\^a}ntico
Tropical e Sudoeste",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2020",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2020-03-20",
keywords = "TSM, temperatura da superf{\'{\i}}cie do mar, GOES-16, OSTIA,
NOAA Geo-Polar-Blended, SST, sea surface temperature.",
abstract = "No final de 2016 foi lan{\c{c}}ado o primeiro sat{\'e}lite da
nova gera{\c{c}}{\~a}o de sat{\'e}lites geoestacion{\'a}rios
da NOAA (GOES-16), com um sensor Advanced Baseline Imager (ABI)
capaz de estimar a temperatura da superf{\'{\i}}cie do mar (TSM)
a cada 15 min ao longo de todo ciclo diurno. H{\'a} uma
expectativa de que este novo produto possa gerar novas
informa{\c{c}}{\~o}es sobre o ciclo diurno da TSM, processos de
mesoescala e intera{\c{c}}{\~o}es oceano-atmosfera, bem como ter
um uso potencial na assimila{\c{c}}{\~a}o de dados em modelos
oce{\^a}nico acoplados {\`a} modelos num{\'e}ricos de
previs{\~a}o do tempo. No entanto, antes de seu uso operacional
{\'e} preciso averiguar a qualidade deste produto comparado a
dados in situ e outros produtos padr{\~o}es de TSM. Desta forma o
presente trabalho apresenta uma avalia{\c{c}}{\~a}o da TSM
ABI/GOES-16 no Atl{\^a}ntico Tropical e Sudoeste, ao largo da
costa Brasileira at{\'e} 20oO. Observa{\c{c}}{\~o}es in situ de
programas brasileiros em conjunto com outros pa{\'{\i}}ses
(PIRATA e PNBoia) s{\~a}o usadas para comparar a TSM gerada pelo
ABI-GOES-16 (TSMsub-pele) com dados de TSM in situ (TSMbalde).
Numa segunda etapa a TSM ABI (L3) {\'e} comparada com dois
produtos globais L4 (TSMfnd) OSTIA e Geo Polar Blended. Por fim,
s{\~a}o feitas algumas an{\'a}lises comparativas da
representatividade dos processos de mesoescala pelo produto ABI
(L3) e global (L4), em um estudo de caso. Como resultado,
compara{\c{c}}{\~o}es entre o algoritmo e a TSM in situ
exp{\~o}em vi{\'e}s positivo para as m{\'e}dias hor{\'a}rias
do per{\'{\i}}odo diurno (PNBoia fixa e deriva) revelando a
maior discrep{\^a}ncia entre a TSM sub-pele (de sat{\'e}lite) e
TSM in situ com a estratifica{\c{c}}{\~a}o termal diurna.
Vi{\'e}s m{\'e}dio ficou abaixo de 0,1 oC e o EMQ e erro
absoluto igual ou menor que 0,5 oC, para quase todos os casos, que
{\'e} o recomendado pelo GHRSST. Na compara{\c{c}}{\~a}o entre
a TSM ABI-GOES-16 L3 com produtos L4 verificou-se que o produto de
estudo TSM ABI-GOES-16 pode fornecer benef{\'{\i}}cios
significativo no fornecimento de TSM para o Brasil, com maiores
erros encontrados nas regi{\~o}es de maior gradiente horizontal e
mais din{\^a}micas i.e., regi{\~a}o costeira, Conflu{\^e}ncia
Brasil-Malvinas e extremo sul do Atl{\^a}ntico Sul. Melhorias
precisam ser feitas em regi{\~o}es mais complexas, mas para
processos de larga escala a TSM ABI L3 OSTIA possui bom
desempenho. ABSTRACT: At the end of 2016, the first satellite of
the new generation of NOAA geostationary satellites (GOES-16) was
launched, with an Advanced Baseline Imager (ABI) sensor capable of
estimating the sea surface temperature (SST) every 15 minutes
throughout the daytime cycle. There is an expectation that this
new product can generate new information about the SST diurnal
cycle, mesoscale processes and ocean-atmosphere interactions, as
well as having a potential use in the assimilation of data in
oceanic models coupled with numerical weather forecasting models.
However, before its operational use, it is necessary to check the
quality of this product compared to in situ data and other
standard SST products. In this way, this work presents an
evaluation of SST ABI/GOES-16 in the Tropical and Southwest
Atlantic, off the Brazilian coast up to 20oW. In situ observations
of Brazilian programs in conjunction with other countries (PIRATA
and PNBoia) are used to compare the SST generated by ABI-GOES-16
(SSTsubskin) with SST in situ data (SSTbucket). In a second step,
SST ABI (L3) is compared with two global L4 products (SSTfnd)
OSTIA and Geo Polar Blended. Finally, some comparative analyzes of
the representativeness of the mesoscale processes by the ABI (L3)
and global (L4) products are made, in a case study. As a result,
comparisons between the algorithm and the in situ SST expose a
positive bias for the hourly averages of the daytime period (fixed
and drifting bouys PNBoia) revealing the largest discrepancy
between the sub-skin (satellite) SST and the in situ SST with
daytime thermal stratification. Mean bias was below 0.1 oC and the
RMSE and absolute error equal to or less than 0.5 oC, for almost
all cases, which is recommended by the GHRSST. When comparing the
SST ABI-GOES-16 L3 with L4 products, it was found that the study
product SST ABI-GOES-16 can provide significant benefits in the
supply of SST, with greater errors found in regions with a higher
horizontal gradient and dynamic, i.e, coastal region,
Brazil-Malvinas Confluence Zone and Southern Atlantic.
Improvements need to be made in more complex regions, but for
large-scale processes the SST ABI L3 OSTIA performs well.",
committee = "Coelho, Simone Marilene Sievert da Costa (presidente) and
Arav{\'e}quia, Jos{\'e} Antonio (orientador) and Oliveira,
Nat{\'a}lia Rudorff (orientadora) and Pezzi, Luciano Ponzi and
Assireu, Arcilan Trevenzoli",
englishtitle = "Evaluation of the sea surface temperature estimated by the
ABI/GOES-16, in the Tropical Atlantic ocean and Southwest",
language = "pt",
pages = "117",
ibi = "8JMKD3MGP3W34R/428TQ8P",
url = "http://urlib.net/ibi/8JMKD3MGP3W34R/428TQ8P",
targetfile = "publicacao_FA provisoria.pdf",
urlaccessdate = "23 abr. 2024"
}