@Article{PennaSilvGonçSouz:2015:SéNO,
author = "Penna, Brunna Romero and Silveira, Bruna Barbosa and
Gon{\c{c}}alves, Luis Gustavo Gon{\c{c}}alves de and Souza,
Solange Silva de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Avalia{\c{c}}{\~a}o da temperatura de brilho nos canais
sens{\'{\i}}veis {\`a} superf{\'{\i}}cie terrestre no sistema
G3DVAR do CPTEC/INPE: S{\'e}rie NOAA",
journal = "Revista Brasileira de Meteorologia",
year = "2015",
volume = "30",
number = "3",
pages = "340--350",
month = "Sept.",
keywords = "AMSU-A, Data assimilation, NOAA, Observation, Radiance,
Simulation.",
abstract = "As medidas do AMSU-A para os canais que s{\~a}o
sens{\'{\i}}veis {\`a} superf{\'{\i}}cie terrestre sobre os
continentes n{\~a}o tem sido amplamente utilizadas para ajustar a
previs{\~a}o num{\'e}rica de tempo de curto prazo (PNTs), devido
{\`a} complexidade das caracter{\'{\i}}sticas da
superf{\'{\i}}cie terrestre. Nesse sentido, o presente artigo
utiliza o Sistema de Assimila{\c{c}}{\~a}o de Dados (G3DVAR) do
Centro de Previs{\~a}o de Tempo e Estudos Clim{\'a}ticos do
Instituto Nacional de Pesquisas Espaciais (CPTEC/INPE), que inclui
tais medidas de radi{\^a}ncias feitas pelo sensor que est{\'a} a
bordo dos sat{\'e}lites da s{\'e}rie NOAA. A vers{\~a}o
operacional do sistema G3DVAR contempla apenas o sat{\'e}lite
NOAA-15. Adicionalmente, foram realizados experimentos
num{\'e}ricos que inclu{\'{\i}}ram os sat{\'e}lites NOAA-18 e
NOAA-19. {\'E} feita uma avalia{\c{c}}{\~a}o sobre a
vari{\'a}vel temperatura de brilho simulada para os canais
sens{\'{\i}}veis {\`a} superf{\'{\i}}cie terrestre (i),
atrav{\'e}s de uma compara{\c{c}}{\~a}o com
observa{\c{c}}{\~o}es, e (ii) atrav{\'e}s da
avalia{\c{c}}{\~a}o da equa{\c{c}}{\~a}o de transfer{\^e}ncia
radiativa, para os tr{\^e}s sat{\'e}lites. Os resultados
indicaram que o modelo de transfer{\^e}ncia radiativa em
m{\'e}dia superestima a temperatura de brilho nos canais
sens{\'{\i}}veis {\`a} superf{\'{\i}}cie terrestre para os
tr{\^e}s sat{\'e}lites na regi{\~a}o da Am{\'e}rica do Sul
para os meses de ver{\~a}o. Al{\'e}m disso, as
observa{\c{c}}{\~o}es dos sat{\'e}lites incorporadas no sistema
tiveram um aceite superior ao do sat{\'e}lite NOAA-15, de maneira
que os sat{\'e}lites NOAA-18 e NOAA-19 podem ser incorporados no
modo operacional do Sistema G3DVAR. ABSTRACT: Channels sensitive
to the terrestrial surface have not been widely used in Numerical
Weather Prediction (NWP) due to the inherent complexities of the
land surface. Thus, the present paper tested the tri-dimensional
variational data assimilation framework implemented in the Global
Model (G3DVAR) at the Center for Weather Forecast and Climate
Studies (CPTEC) from the National Institute for Space Research
(INPE) with near surface radiances from the NOAA-15 satellite.
Since the operational version of the G3DVAR uses only NOAA-15,
other experiments including the NOAA-18 and NOAA-19 satellites
were performed. An assessment of the simulated brightness
temperature for the near surface channels was made (i) through a
comparison against observations and (ii) through a validation of
the radiative transfer equation for the three satellites. The
results indicate that the radiative transfer model overestimate,
on average, the brightness temperature from the channels sensitive
to the earth surface for all the considered satellites over South
America during the austral summer. Furthermore, the number of
observations accepted by the assimilation system increased
substantially when NOAA-18 and NOAA-19 satellites were included,
suggesting that incorporating these two new satellites should
bring a positive impact to the G3DVAR operational system at
CPTEC/INPE.",
doi = "10.1590/0102-778620140030",
url = "http://dx.doi.org/10.1590/0102-778620140030",
issn = "0102-7786",
language = "pt",
targetfile = "2015_penna.pdf",
urlaccessdate = "18 mar. 2024"
}