@InProceedings{KubotaSouzRiveBona:2013:ImDiFo,
author = "Kubota, Paulo Yoshio and Souza, Dayana Castilho de and Rivero,
Silvio Nilo Figueroa and Bonatti, Jos{\'e} Paulo",
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 = "Impacto de Diferentes Formula{\c{c}}{\~o}es de
Parametriza{\c{c}}{\~o}es de Microf{\'{\i}}sica sobre Campo de
Nuvens e Simula{\c{c}}{\~o}es Clim{\'a}ticas/ Impact of
Different Formulations of Microphysics Parameterization on Clouds
Field and Climate Simulation",
booktitle = "Anais...",
year = "2013",
organization = "Simp{\'o}sio Internacional de Climatologia, 5. (SIC).",
keywords = "AGCMs, microphysics, climate simulation.",
abstract = "Os processos f{\'{\i}}sicos que regem a atmosfera terrestre
s{\~a}o bem complexos e possuem intera{\c{c}}{\~o}es n{\~a}o
lineares em diversas escalas. Embora existam varias
parametriza{\c{c}}{\~o}es que representem razoavelmente bem
estes processos, ainda existem falhas devido {\`a}s
simplifica{\c{c}}{\~o}es. Portanto, existem escalas que as
parametriza{\c{c}}{\~o}es f{\'{\i}}sicas n{\~a}o conseguem
representar. A microf{\'{\i}}sica de nuvens que envolvem os
processos f{\'{\i}}sicos necess{\'a}rios na
forma{\c{c}}{\~a}o de nuvens e tem muita import{\^a}ncia no
sistema clim{\'a}tico. A representa{\c{c}}{\~a}o de nuvem em
modelos atmosf{\'e}ricos circula{\c{c}}{\~a}o geral (MCGAs)
continua a ser um desafio devido {\`a} vasta gama de escalas
temporal e espacial que devem ser considerados nas
parametriza{\c{c}}{\~o}es. Deste modo, as nuvens s{\~a}o
consideradas uma das principais fontes de incerteza em
simula{\c{c}}{\~o}es clim{\'a}ticas (IPCC, 2007). Este trabalho
focaliza o impacto de diferentes formula{\c{c}}{\~o}es de
parametriza{\c{c}}{\~o}es de microf{\'{\i}}sica sobre o campo
de nuvens e consequentemente nas simula{\c{c}}{\~o}es
clim{\'a}ticas. A metodologia adotada consiste em analisar um
conjunto de experimentos utilizando o MCGA-CPTEC/INPE configurado
com diferentes parametriza{\c{c}}{\~o}es de
microf{\'{\i}}sica, onde vari{\'a}veis prognosticas ({\'a}gua
l{\'{\i}}quida, gelo, etc) s{\~a}o usadas para determinar as
propriedades {\'o}ticas das nuvens e os resultados comparados com
a configura{\c{c}}{\~a}o utilizando a parametriza{\c{c}}{\~a}o
de precipita{\c{c}}{\~a}o de larga escala, onde n{\~a}o h{\'a}
vari{\'a}veis prognosticas referentes {\`a} mudan{\c{c}}a de
fase da {\'a}gua. Os experimentos foram integrados por 15 anos e
inicializados com as analises do NCEP e temperatura mensal de
superf{\'{\i}}cie do mar da NOAA. Os resultados indicam
diferen{\c{c}}as expressivas no saldo de energia na
superf{\'{\i}}cie e na precipita{\c{c}}{\~a}o devido o
padr{\~a}o de cobertura total de nuvem entre os experimentos.
Atrav{\'e}s das an{\'a}lises dos experimentos conclui-se que uma
boa parametriza{\c{c}}{\~a}o de microf{\'{\i}}sica de nuvens
{\'e} fundamental para prognosticar de forma realista os campos
de {\'a}gua l{\'{\i}}quida e gelo necess{\'a}rios para estimar
as propriedades {\'o}ticas das nuvens. ABSTRACT: The physical
processes governing the terrestrial atmosphere are very complex
and have nonlinear interactions at various scales. Although, there
are several parameterizations that represent reasonably well these
processes, still there are faults due to simplifications.
Therefore, there are scales that are not represented by physical
parameterizations. The cloud microphysics involving physical
processes needed in the formation of clouds and has much
importance in the climate system. The representation of clouds in
atmospheric general circulation models (AGCMs) remains a challenge
due to the wide range of temporal and spatial scales that must be
considered in the parameterization. Thus, clouds are considered a
major source of uncertainty in climate simulations (IPCC, 2007).
This paper focuses on the impact of different formulations of
microphysics parameterization over the clouds field and
consequently in climate simulations. The methodology consists of
analyzing a set of experiments using MCGA-CPTEC/INPE configured
with different parameterizations of microphysics, where prognostic
variables (liquid water, ice, etc.) are used to determine the
clouds optical properties and the results compared with the
configuration using the parameterization of large-scale
precipitation based at supersaturation, where there is no
prognostic variables related to phase change of the water. The
experiments were integrated for 15 years and initialized with the
NCEP analyzes and sea surface temperature monthly from NOAA. The
results indicate significant differences in the balance of energy
on the surface and the pattern of precipitation due to cloud
coverage between experiments. Through the analysis of the
experiments it was concluded that a good parameterization of cloud
microphysics is essential to predict a realistic fields of liquid
water and ice required to estimate the clouds optical
properties.",
conference-location = "Florian{\'o}polis, SC",
conference-year = "15-19, set.",
targetfile = "Kubota_Impacto.pdf",
urlaccessdate = "03 maio 2024"
}