@MastersThesis{Calheiros:2008:SiPrIm,
author = "Calheiros, Alan James Peixoto",
title = "Sistema de previs{\~a}o imediata da precipita{\c{c}}{\~a}o: o
hydrotrack",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2008",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2008-07-04",
keywords = "precipita{\c{c}}{\~a}o, sistemas convectivos,
propaga{\c{c}}{\~a}o, fortracc, hydro-estimator, precipitation,
convectives systems, propagation, fortracc, hydro-estimator.",
abstract = "A previs{\~a}o imediata da precipita{\c{c}}{\~a}o {\'e}
essencial para diversas atividades socioecon{\^o}micas, entre
elas destacamos a avia{\c{c}}{\~a}o e a defesa civil. Modelos de
previs{\~a}o imediata, que se baseiam no acompanhamento dos
Sistemas Convectivos de Mesoescala (SCM) s{\~a}o fundamentais em
um sistema de apoio a tomada de decis{\~o}es em
situa{\c{c}}{\~o}es meteorol{\'o}gicas extremas, principalmente
quando descrevem e extrapolam no espa{\c{c}}o e no tempo as
estruturas precipitantes. Este trabalho tem o objetivo de
desenvolver um m{\'e}todo de previs{\~a}o imediata da
precipita{\c{c}}{\~a}o com base na utiliza{\c{c}}{\~a}o
conjunta do algoritmo ForTraCC (Forecasting and Tracking of the
evolution of the Cloud Clusters), de previs{\~a}o da
propaga{\c{c}}{\~a}o de SCM em curto prazo, e do modelo
Hydro-Estimator, de estimativa de precipita{\c{c}}{\~a}o
utilizando dados de sat{\'e}lites geoestacion{\'a}rios. Uma
contribui{\c{c}}{\~a}o espec{\'{\i}}fica desse estudo
correspondeu aos testes de sensibilidade do modelo Hydro-Estimator
e na melhoria da previs{\~a}o da propaga{\c{c}}{\~a}o da
precipita{\c{c}}{\~a}o. A t{\'e}cnica ForTraCC/Hydro-Estimador,
que passa a ser chamada HydroTrack utiliza como dados b{\'a}sicos
as imagens do sat{\'e}lite GOES, no canal 4, a cada meia hora.
Para o desenvolvimento deste trabalho foi necess{\'a}rio realizar
uma an{\'a}lise estat{\'{\i}}stica da evolu{\c{c}}{\~a}o das
estruturas de precipita{\c{c}}{\~a}o dos SCM, para ajustar o
modelo aos campos de precipita{\c{c}}{\~a}o. Com
rela{\c{c}}{\~a}o {\`a} propaga{\c{c}}{\~a}o dos sistemas
precipitantes, foram analisadas diversas t{\'e}cnicas para prever
a propaga{\c{c}}{\~a}o das estruturas de
precipita{\c{c}}{\~a}o baseado em correla{\c{c}}{\~o}es
cruzadas, auto-corre{\c{c}}{\~a}o, conserva{\c{c}}{\~a}o do
movimento, campos de vento de modelos de mesoescala e campos
termodin{\^a}micos. O HydroTrack apresentou bom desempenho nas
previs{\~o}es da {\'a}rea e da taxa de precipita{\c{c}}{\~a}o
estimada em todos os m{\'e}todos analisados. Com
rela{\c{c}}{\~a}o ao deslocamento dos sistemas precipitantes o
m{\'e}todo do deslocamento do centro de massa apresentou melhores
resultados para sistemas pequenos, enquanto a m{\'a}xima
correla{\c{c}}{\~a}o cruzada representou melhor os sistemas
maiores. ABSTRACT: The knowledge of convective system evolution is
of fundamental importance for understanding weather and climate,
particularly in the tropics, and it is essential to improve
forecasting of these systems to reduce vulnerability to extreme
weather damage. The identification of predictor parameters of the
evolution of convective system, based on its previous evolution,
could give valuable contribution to nowcasting schemes. The
objective of this work was to develop a nowcasting method based on
the ForTraCC, forecasting and tracking of cloud cluster and the
Hydro-Estimator, a methodology for precipitation estimate from
satellite images. Furthermore, with the results from the tracking
of the precipitation structures were possible to study: storm
propagation and its relationship with the mean wind field,
thermodynamics parameters and the parameterization of convective
system displacements. The basic data for this analysis was the
GOES image each thirty minutes and weather data analysis from Eta.
To conduct the development of this nowcasting model was necessary
to know the statistical behavior of the precipitation structures
during the lifecycle. We intend to develop the nowcasting
precipitation model based in the precipitation field extrapolation
in time and space using the Hydro-estimator and the ForTraCC
techniques. This study was also useful to understand the movement
of the rainfall cells. Nowcasting techniques, which are not as
computationally intensive, have a very important role to play in
the time frame between 0 to 6 hours, where numerical model does
not have good skill. The HydroTrack presented a good performance
related to system area and rain rate prediction for all methods.
With regards to system displacement prediction the conservative
method offered a good skill to small systems, whereas for larger
systems was better foreseen to maximum cross correlation.",
committee = "Angelis, Carlos Frederico de (presidente) and Machado, Luiz
Augusto Toledo (orientador) and Chou, Sin Chan and Vila, Daniel
Alejandro",
copyholder = "SID/SCD",
englishtitle = "A rainfall nowcasting system: the hydrotrack",
language = "pt",
pages = "131",
ibi = "6qtX3pFwXQZGivnK2Y/UmPA5",
url = "http://urlib.net/ibi/6qtX3pFwXQZGivnK2Y/UmPA5",
targetfile = "publicacao.pdf",
urlaccessdate = "08 maio 2024"
}