@PhDThesis{Lopes:2006:ObReMi,
author = "Lopes, Pabr{\'{\i}}cio Marcos Oliveira",
title = "Obten{\c{c}}{\~a}o de regimes microclimaticos em regi{\~o}es
montanhosas com dados de sensores orbitais e
integra{\c{c}}{\~a}o de modelos distribu{\'{\i}}dos",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2006",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2006-04-18",
keywords = "observa{\c{c}}{\~a}o da terra, modelo de radia{\c{c}}{\~a}o
solar, sensor MODIS, condi{\c{c}}{\~o}es microclim{\'a}ticas,
modelo de eleva{\c{c}}{\~a}o do terreno, m{\'e}todo
priestley-taylor, simulador de microclima montanhoso, regi{\~o}es
montanhosas, irradiance model, MODIS, micrometeorological
conditions, digital elevation models, Pristley-taylor, MT, clim
model, montainous region.",
abstract = "Este trabalho tem como objetivo representar a
distribui{\c{c}}{\~a}o espacial do ambiente microclim{\'a}tico
e a evapotranspira{\c{c}}{\~a}o (ETP) potencial mensal de
regi{\~a}o montanhosa da Serra da Mantiqueira. Foram integrados
dados de sensoriamento remoto e os modelos MT-CLIM, TOPORAD e o
m{\'e}todo de Priestley-Taylor para produzir mapas de regimes
microclim{\'a}ticos e de ETP em escala mensal e escala espacial
vari{\'a}vel. Foi aprimorado um modelo de irradi{\^a}ncia
(TOPORAD) que est{\'a} implementado para condi{\c{c}}{\~o}es de
c{\'e}u claro com a incorpora{\c{c}}{\~a}o de regimes de
cobertura de nuvens derivado de dados do sat{\'e}lite GOES-12.
Nesse aprimoramento foi requerida a parametriza{\c{c}}{\~a}o por
sensoriamento remoto do albedo da superf{\'{\i}}cie em escala
mensal. Com a parametriza{\c{c}}{\~a}o dos atributos de
superf{\'{\i}}cie e de condi{\c{c}}{\~o}es atmosf{\'e}ricas,
o modelo MT-CLIM foi aplicado a pontos selecionados da {\'a}rea
de estudo e depois interpolados por m{\'e}todos de Krigagem. Os
resultados mostraram que a partir do modelo MT-CLIM foi
poss{\'{\i}}vel representar o padr{\~a}o espacial do regime
mensal das seguintes vari{\'a}veis microclim{\'a}ticas:
temperaturas m{\'e}dia, m{\'a}xima e m{\'{\i}}nima e
d{\'e}ficit de press{\~a}o de vapor d'{\'a}gua
atmosf{\'e}rico. A partir de dados de sensoriamento remoto foi
poss{\'{\i}}vel tamb{\'e}m representar espacialmente o albedo e
a emissividade da superf{\'{\i}}cie. Com os resultados do
MTCLIM, TOPORAD e os da an{\'a}lise de dados de sensoriamento
remoto, foi poss{\'{\i}}vel mapear a intensidade dos componentes
do balan{\c{c}}o de radia{\c{c}}{\~a}o e aplicar estes produtos
na estimativa da evapotranspira{\c{c}}{\~a}o potencial. As
melhores estimativas foram as de temperatura m{\'a}xima,
irradi{\^a}ncia e saldo de radia{\c{c}}{\~a}o. As maiores
incertezas foram encontradas nas estimativas da temperatura
m{\'{\i}}nima, d{\'e}ficit de press{\~a}o de vapor d'{\'a}gua
atmosf{\'e}rico e evapotranspira{\c{c}}{\~a}o potencial. Os
resultados deste trabalho atendem {\`a}s necessidades de
representa{\c{c}}{\~a}o espacial em escala decam{\'e}trica de
condi{\c{c}}{\~o}es micrometeorol{\'o}gicas para fins de
estudos ecol{\'o}gicos e biogeogr{\'a}ficos. ABSTRACT: The
objective of this work is to represent the spatial distribution of
microclimatic environment and the monthly rate of potential
evapotranspiration (PET) in a mountainous region in the
Mantiqueira Mountain. Remote sensing data and MT-CLIM and TOPORAD
models and the Priestley-Taylor method were integrated in order to
produce maps of monthly microclimatic regimes and PET in variable
spatial scales. An irradiance model (TOPORAD), which is
implemented for clear skies conditions, was improved by the
assimilation of cloud cover regimes derived from GOES-12 satellite
data. The improvement of the irradiance model required also the
remote sensing based parameterization of surface albedo in a
monthly scale. With the parameterization of surface features and
the atmospheric conditions the MT-CLIM model was applied to
selected points in the study area and then interpolated by
Krieging methods. The results show that through the MT-CLIM model
it is possible to represent the spatial pattern of monthly regimes
of the following microclimatic variables: mean, maximum and
minimum temperatures and vapor pressure deficit. It was also
feasible to represent surface albedo and emissivity with basis on
remote sensing data. With the results from MT-CLIM and TOPORAD and
the analysis of remote sensing data it was possible to map the
components of the radiation balance and to apply these results in
the estimation of potential evapotranspiration. The best estimates
were obtainend for maximum temperature, irradiance and the net
radiation. The highest levels of uncertainties were found in the
estimation of minimum temperature, water vapor pressure deficit
and potential evapotranspiration. The results of this work address
the requirements of fine scale representation of
micrometeorological conditions to be applied in ecological and
biogeographical studies.",
committee = "Soares, Jo{\~a}o Vianei (presidente) and Valeriano, Dalton de
Morisson (orientador) and Ceballos, Juan Carlos and Ferreira,
Nelson Jesus and Silva, Bernardo Barbosa da and Fisch, Gilberto
Fernando",
copyholder = "SID/SCD",
englishtitle = "The simulation of the microclimatic regime in montain region with
orbitals sensors data and integration of distribuited models",
language = "pt",
pages = "232",
ibi = "6qtX3pFwXQZGivnJSY/LBDPE",
url = "http://urlib.net/ibi/6qtX3pFwXQZGivnJSY/LBDPE",
targetfile = "publicacao.pdf",
urlaccessdate = "20 maio 2024"
}