@InProceedings{Penna:2013:InTeSu,
author = "Penna, Brunna Romero",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "A influ{\^e}ncia da temperatura da superf{\'{\i}}cie
continental e o papel das parametriza{\c{c}}{\~o}es de
superf{\'{\i}}cie na assimila{\c{c}}{\~a}o de radi{\^a}ncias
no modelo global do CPTEC",
booktitle = "Anais...",
year = "2013",
organization = "Simp{\'o}sio Internacional de Climatologia, 5. (SIC).",
keywords = "data assimilation, surface model, brightness temperature.",
abstract = "RESUMO: Nos {\'u}ltimos anos, o sistema de previs{\~a}o de tempo
e clima aumentou o uso de medidas de sat{\'e}lite. Essas
observa{\c{c}}{\~o}es diferem de muitos dados convencionais,
pois medem observa{\c{c}}{\~o}es indiretas de par{\^a}metros
meteorol{\'o}gicos. No Centro de Previs{\~a}o de Tempo e estudos
Clim{\'a}ticos (CPTEC), muitos sat{\'e}lites em v{\'a}rios
canais espectrais s{\~a}o assimilados no operacional Grupo de
Desenvolvimento em Assimila{\c{c}}{\~a}o de Dados (GDAD)
atrav{\'e}s do sistema de assimila{\c{c}}{\~a}o Grid Point
Statistical Interpolation (GSI) e pela Community Radiative
Transfer Model (CRTM). O sistema de an{\'a}lise GSI/3DVar foi
implementado pelo GDAD e est{\'a} em opera{\c{c}}{\~a}o desde
janeiro de 2013. Atualmente, a medida de sat{\'e}lites sobre os
oceanos tem sido muito mais utilizada pela previs{\~a}o
num{\'e}rica de tempo. Entretanto, sobre a terra esses dados
s{\~a}o menos assimilados, devido dificuldades em simular a
emissividade e a temperatura da superf{\'{\i}}cie terrestre. A
temperatura da superf{\'{\i}}cie terrestre (Ts) predita pelo
modelo de circula{\c{c}}{\~a}o geral da atmosfera (MCGA) do
CPTEC {\'e} um fator cr{\'{\i}}tico para simular a temperatura
de brilho dos sat{\'e}lites nos canais sens{\'{\i}}veis a
superf{\'{\i}}cie no sistema de assimila{\c{c}}{\~a}o GSI. A
parametriza{\c{c}}{\~a}o de superf{\'{\i}}cie, hoje, no MCGA
{\'e} o Simplified Simple Biosphere Model (SSIB). O MCGA
est{\'a} acoplado com o sistema de assimila{\c{c}}{\~a}o
GSI/3DVar sendo chamado de G3DVar. Resultados preliminares mostram
um vi{\'e}s frio ao representar a temperatura da
superf{\'{\i}}cie quando comparada com observa{\c{c}}{\~o}es
de plataformas de coleta de dados (PCDs). Com um grande vi{\'e}s
na temperatura da superf{\'{\i}}cie a CRTM simula uma
temperatura de brilho (Tb) despropositada, assim uma grande
quantidade de dados de sat{\'e}lite s{\~a}o rejeitados nas
etapas de an{\'a}lise GSI/CRTM, especialmente para canais
sens{\'{\i}}veis a superf{\'{\i}}cie. Mudando o atual modelo
de superf{\'{\i}}cie para um modelo de 4° gera{\c{c}}{\~a}o o
Integrated Biosphere Model (IBIS) espera-se ter uma melhora na
temperatura da superf{\'{\i}}cie e ent{\~a}o, verificar o
impacto na qualidade e quantidade dos dados assimilados sobre o
continente sul americano. O sensor utilizado neste trabalho {\'e}
o Advanced Microwave Sounding Unit (AMSU), AMSU-A, que est{\'a} a
bordo do sat{\'e}lite da s{\'e}rie National Oceanic and
Atmospheric Administration (NOAA), NOAA-15. A regi{\~a}o de
estudo compreende a Am{\'e}rica do Sul, com destaque {\`a}
regi{\~o}es semi{\'a}ridas onde o vi{\'e}s frio indica ser
maior, e o per{\'{\i}}odo a ser analisado ser{\'a} uma
esta{\c{c}}{\~a}o de inverno e outra de ver{\~a}o. ABSTRACT: In
recent years, the system of weather and climate has increased the
use of satellite measurements. These observations differ from many
conventional data, for measuring indirect observations of
meteorological parameters. At the Center for Weather Forecasting
and Climate Studies (CPTEC), many satellites in various spectral
channels are assimilated in operational Development Group on Data
Assimilation (GDAD) through assimilation system Grid Point
Statistical Interpolation (GSI) and the Community Radiative
Transfer Model (CRTM). The analysis system GSI/3DVar was
implemented by GDAD and is in operation since January 2013.
Currently, the measure of satellites over the oceans has been much
used for numerical weather prediction. However, on earth these
data are less assimilated, because difficulties in simulating the
emissivity and surface temperature. The surface temperature (Ts)
predicted by atmosphere general circulation model (AGCM) of the
CPTEC, is a critical factor to simulate the brightness temperature
of the satellite, in channels sensitive to surface in GSI
assimilation system. The parameterization of surface, today, in
MCGA is the Simplified Simple Biosphere Model (SSiB). The AGCM is
coupled with the assimilation system GSI/3DVar, called by G3DVar.
Preliminary results show a cold bias to represent the surface
temperature when compared with observations from data collection
platforms (DCPs). With a large bias in the surface temperature of
the CRTM simulates a brightness temperature (Tb) unreasonable, so
a lot of satellite data are rejected in the analysis steps GSI /
CRTM, especially for channels sensitive to surface. Changing the
current surface model to a model of the 4th generation, Integrated
Biosphere Model (IBIS), is expected to have an improvement in
surface temperature and then, check the impact on the quality and
quantity of data assimilated on the South American continent. The
sensor used in this paper is the Advanced Microwave Sounding Unit
(AMSU), AMSU-A, which is the satellite of the series National
Oceanic and Atmospheric Administration (NOAA), NOAA-15. The study
region includes South America, with emphasis on semi-arid regions
where the bias indicates cold be higher, and the period to be
analyzed will be a season of winter and another summer.",
conference-location = "Florian{\'o}polis, SC",
conference-year = "15-19, set.",
urlaccessdate = "03 maio 2024"
}