@PhDThesis{Falck:2015:AvInEs,
author = "Falck, Aline Schneider",
title = "Avalia{\c{c}}{\~a}o da incerteza nas estimativas de
precipita{\c{c}}{\~a}o por sat{\'e}lite e sua
propaga{\c{c}}{\~a}o no modelo hidrol{\'o}gico
distribu{\'{\i}}do MHD-INPE",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2015",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2015-02-26",
keywords = "precipita{\c{c}}{\~a}o, sat{\'e}lite, vaz{\~a}o, modelos
hidrol{\'o}gicos, precipitation, satellite, runoffs, hydrology
models.",
abstract = "A estimativa de precipita{\c{c}}{\~a}o por sat{\'e}lite tem se
mostrado uma importante alternativa para o monitoramento da
precipita{\c{c}}{\~a}o, principalmente devido {\`a}s suas altas
resolu{\c{c}}{\~o}es espacial e temporal. Dentre as principais
aplica{\c{c}}{\~o}es desse tipo de produto destaca-se a
modelagem hidrol{\'o}gica em {\'a}reas onde a rede convencional
de pluvi{\^o}metros, ou mesmo aquela destinada ao monitoramento
em tempo real, {\'e} prec{\'a}ria no que se refere {\`a} sua
cobertura espacial e/ou temporal. Nesse contexto, esta pesquisa
avaliou as estimativas de precipita{\c{c}}{\~a}o por
sat{\'e}lite em aplica{\c{c}}{\~o}es hidrol{\'o}gicas na bacia
dos rios Tocantins e Araguaia, e investigou como a
propaga{\c{c}}{\~a}o dos erros nas estimativas de
precipita{\c{c}}{\~a}o por sat{\'e}lite s{\~a}o traduzidas em
vaz{\~a}o. Para isso foi implementado o modelo estoc{\'a}stico
multidimensional de propaga{\c{c}}{\~a}o do erro das estimativas
de precipita{\c{c}}{\~a}o por sat{\'e}lite SREM2D (do
ingl{\^e}s \emph{Two-Dimensional Satellite Rainfall Error
Model)} a partir de dados di{\'a}rios de precipita{\c{c}}{\~a}o
observados e estimados por sat{\'e}lite provenientes dos
algoritmos CMORPH (do ingl{\^e}s \emph{Climate Prediction Center
morphing technique)}, 3B42RT (do ingl{\^e}s \emph{Tropical
Rainfall M easuring Mission real-time 3B42 product)}, HYDROE (do
ingl{\^e}s \emph{Hydroestimator)} e GSMAP (do ingl{\^e}s
\emph{Global Satellite Mapping of Precipitation)}, para o
per{\'{\i}}odo de 2008 {\`a} 2011. Os campos de
precipita{\c{c}}{\~a}o por conjuntos gerados pelo modelo
estoc{\'a}stico mencionado foram utilizados para for{\c{c}}ar o
Modelo Hidrol{\'o}gico Distribu{\'{\i}}do do Instituto Nacional
de Pesquisas Espaciais (MHD-INPE), previamente calibrado e
validado nos per{\'{\i}}odos de 2000 {\`a} 2008 e 2008 {\`a}
2011, respectivamente. Os resultados obtidos durante as
esta{\c{c}}{\~o}es chuvosas e secas ao longo dos tr{\^e}s anos
(2008-2011) mostram que o modelo estoc{\'a}stico multidimensional
de propaga{\c{c}}{\~a}o do erro das estimativas de
precipita{\c{c}}{\~a}o por sat{\'e}lite utilizado neste estudo
gera conjuntos de precipita{\c{c}}{\~a}o real{\'{\i}}sticos,
que podem ser utilizados para for{\c{c}}ar o modelo
hidrol{\'o}gico distribu{\'{\i}}do (MHD-INPE) e permitir o
monitoramento de hidrol{\'o}gico em tempo real. ABSTRACT:
Satellite precipitation estimations are an important alternative
for monitoring of pre-cipitation due to its high spatial and
temporal resolution. This type of product can be applied in
hydrological modeling in areas with poor spatial and temporal
coverage ofthe conventional rain gauges and/or or the automatic
(real time) networks. In this context, this study evaluated the
satellite rainfall estimation in hydrological applications in the
Araguaia and Tocantins rivers basin, and investigated how the
propagation of errors in satellite rainfall estimates impacted
river discharges. To achieve this goal, the multidimensional
stochastic model erro r propagation SREM2D (TwoDimensional
Satellite Rainfall Error Model) was implemented using observed
daily rainfall data and satellite estimates from the CMORPH
(Cl{\'{\i}}mate Prediction Center morphing technique); 3B42RT
(Tropical Rainfall Measuring Mission real time 3B42 product);
HYDROE (Hydroestimator); and GSMAP (Global Satellite Mapping of
Precipitation) algorithms, for the period 2008 to 2011.
Precipitations fields generated using the stochastic model were
used to force the Distributed Hydrological Model of the National
Institute for Space Research (MHD-INPE), which was calibrated and
validated in the periods 2000-2008 and 2008-2011, respectively.
The results obtained during the rainy and dry seasons over a three
years period (2008-2011) showed that the multidimensional
stochastic error propagation of satellite precipitation estimates
used in this study generates realistic precipitation sets, which
can be used to force the distributed hydrological model (MHD-INPE)
and allow real-time hydrological monitoring.",
committee = "Angelis, Carlos Frederico de (presidente) and Vila, Daniel
Alejandro (orientador) and Tomasella, Javier (orientador) and
Rodriguez, Daniel Andres and Beneti, Cesar Augustus Assis and
Maggioni, Viviana",
copyholder = "SID/SCD",
englishtitle = "Evaluation of satellite rainfall estimates uncertainty and its
impact on streamflow simulation in the distributed hydrological
model MHD-INPE",
language = "pt",
pages = "183",
ibi = "8JMKD3MGP3W34P/3J3C842",
url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3J3C842",
targetfile = "publicacao.pdf",
urlaccessdate = "28 mar. 2024"
}