@MastersThesis{Lourenço:2017:AnSeMo,
               author = "Louren{\c{c}}o, Romman Arantes",
                title = "An{\'a}lise da sensibilidade do modelo WRF a diferentes perfis de 
                         resolu{\c{c}}{\~a}o vertical",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2017",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2017-08-28",
             keywords = "perfil vertical, CLP, sistemas atmosf{\'e}ricos, WRF, vertical 
                         profile, PBL, atmospheric systems, WRF.",
             abstract = "A regi{\~a}o Sul do Brasil {\'e} impactada por eventos 
                         meteorol{\'o}gicos severos devido {\`a} influ{\^e}ncia de 
                         diferentes sistemas atmosf{\'e}ricos. A Previs{\~a}o 
                         Num{\'e}rica do Tempo (PNT) busca otimizar a previs{\~a}o desses 
                         sistemas. Nesse sentido, o presente trabalho teve como objetivo 
                         analisar diferentes distribui{\c{c}}{\~o}es dos n{\'{\i}}veis 
                         verticais da atmosfera no modelo WRF (Weather Research and 
                         Forcasting) no intuito de se determinar qual melhor representa a 
                         regi{\~a}o em estudo. Foi utilizado o sistema de 
                         assimila{\c{c}}{\~a}o de dados (WRFDA-3DVAR), com 
                         assimila{\c{c}}{\~a}o de dados convencionais e dados de radar. 
                         Foram feitas simula{\c{c}}{\~o}es com maior 
                         resolu{\c{c}}{\~a}o vertical na Camada Limite Planet{\'a}ria 
                         (CLP) e elevando a fronteira superior do modelo. Os casos 
                         escolhidos foram os dias 30 de outubro, 07 de novembro e 13 de 
                         dezembro de 2014, em virtude dos sistemas atmosf{\'e}ricos 
                         presentes nessas datas e da disponibilidade de dados 
                         observacionais em superf{\'{\i}}cie e altitude e dos dados de 
                         radar. As sa{\'{\i}}das do WRF foram comparadas com dados 
                         meteorol{\'o}gicos reais obtidos das radiosondagens existentes na 
                         regi{\~a}o em estudo. Tamb{\'e}m foram analisados os campos de 
                         precipita{\c{c}}{\~a}o simulados pelo modelo, utilizando os 
                         produtos estat{\'{\i}}sticos Fractional Skill Score (FSS) e 
                         Local Root Mean Square Error (LRMSE). As rodadas do WRF realizadas 
                         com maior defini{\c{c}}{\~a}o em baixos n{\'{\i}}veis 
                         apresentaram resultados satisfat{\'o}rios tanto na 
                         simula{\c{c}}{\~a}o do perfil atmosf{\'e}rico, quanto na 
                         previs{\~a}o no posicionamento dos campos de 
                         precipita{\c{c}}{\~a}o. A assimila{\c{c}}{\~a}o de dados de 
                         radar mostrou uma melhoria na previs{\~a}o da 
                         localiza{\c{c}}{\~a}o dos n{\'u}cleos de 
                         precipita{\c{c}}{\~a}o intensa. ABSTRACT: The southern region of 
                         Brazil is impacted by severe weather events due to the influence 
                         of different atmospheric systems. Numerical Weather Prediction 
                         (NWP) seeks to optimize the prediction of these systems. In this 
                         sense, the present study had as objective of analyzing different 
                         distributions of the vertical levels of the atmosphere in the WRF 
                         model (Weather Research and Forecasting) in order to determine 
                         what better represents the region under study. The data 
                         assimilation system (WRFDA-3DVAR) was used, with assimilation of 
                         conventional data and radar data. Simulations with higher vertical 
                         resolution were made in the Planetary Boundary Layer (PBL) and 
                         increasing the upper boundary of the model. The selected cases 
                         were October 30, November 7 and December 13, 2014, because the 
                         atmospheric systems present on those dates and the availability of 
                         observational surface and altitude data and radar data. The 
                         outputs of the WRF were compared with real meteorological data 
                         obtained from atmospheric sounding in the study region. Were also 
                         analyzed the precipitation fields simulated by the model, using 
                         the statistical products Fractional Skill Score (FSS) and Local 
                         Root Mean Square Error (LRMSE). The outputs of the WRF performed 
                         with higher definition at low levels presented satisfactory 
                         results both in the simulation of the atmospheric profile and in 
                         the prediction in the positioning of precipitation fields. The 
                         assimilation of radar data showed an improvement in the prediction 
                         of the location of the nuclei of intense precipitation.",
            committee = "Arav{\'e}quia, Jos{\'e} Antonio (presidente) and Herdies, Dirceu 
                         Luis (orientador) and Corr{\^e}a, Cleber Souza",
         englishtitle = "Analysis of the sensitivity of the wrf model to different vertical 
                         resolution profiles.",
             language = "pt",
                pages = "155",
                  ibi = "8JMKD3MGP3W34P/3PBSKP5",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3PBSKP5",
           targetfile = "publicacao.pdf",
        urlaccessdate = "30 abr. 2024"
}