@MastersThesis{DiasNeto:2014:CaPiCo,
               author = "Dias Neto, Jos{\'e}",
                title = "Caracteriza{\c{c}}{\~a}o de pirge{\^o}metros e controle de 
                         qualidade dos dados medidos",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2014",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2014-06-11",
             keywords = "radia{\c{c}}{\~a}o, instrumenta{\c{c}}{\~a}o, 
                         calibra{\c{c}}{\~a}o, onda longa, pirge{\^o}metro, radiation, 
                         instumentation, calibration, longwave, pyrgeometer.",
             abstract = "Estudos cient{\'{\i}}ficos t{\^e}m mostrado que mudan{\c{c}}as 
                         clim{\'a}ticas {\'e} real e produz impactos significantes na 
                         agricultura, produ{\c{c}}{\~a}o de energia el{\'e}trica e 
                         economia de um pa{\'{\i}}s. Portanto, uma melhor previs{\~a}o 
                         do clima {\'e} necess{\'a}ria e s{\'o} pode ser 
                         alcan{\c{c}}ado por um melhor entendimento das mudan{\c{c}}as do 
                         clima atual. Para isso, {\'e} necess{\'a}rio que haja 
                         monitoramento do Sistema Terrestre por sat{\'e}lites, sondagens 
                         atmosf{\'e}ricas e esta{\c{c}}{\~o}es de superf{\'{\i}}cie 
                         durante longos per{\'{\i}}odos. Dentre as vari{\'a}veis 
                         monitoradas a Radia{\c{c}}{\~a}o de Onda Longa (ROL) {\'e} uma 
                         que est{\'a} diretamente relacionada com a temperatura da 
                         atmosfera. No Brasil, o Sistema de Organiza{\c{c}}{\~a}o 
                         Nacional de Dados Ambientais (SONDA) realiza 
                         observa{\c{c}}{\~o}es de superf{\'{\i}}cie com o objetivo de 
                         produzir dados confi{\'a}veis e de alta qualidade. Este trabalho 
                         apresenta uma metodologia para avaliar a acur{\'a}cia das 
                         observa{\c{c}}{\~o}es de ROL e melhorar a qualidade dos dados. A 
                         metodologia utiliza conceitos empregados na calibra{\c{c}}{\~a}o 
                         em ambiente externo ao laborat{\'o}rio, onde s{\~a}o comparados 
                         os dados de sensores de diferentes modelos ou marcas com o dado do 
                         sensor padr{\~a}o. A compara{\c{c}}{\~a}o entre os sensores 
                         {\'e} avaliada utilizando testes estat{\'{\i}}sticos. 
                         Utilizando esta metodologia foi poss{\'{\i}}vel minimizar o vies 
                         em \$7,49W/m^{2}\$ para o sensor PIR e \$3,26W/m^{2}\$ para o 
                         CGR4. Tamb{\'e}m foi poss{\'{\i}}vel corrigir o efeito de uma 
                         eventual incid{\^e}ncia direta da Radia{\c{c}}{\~a}o de Onda 
                         Curta ROC. Ao meio-dia o valor corrigido foi de \$10W/m^{2}\$ 
                         para o sensor PIR e de \$5W/m^{2}\$ para o sensor CGR4. 
                         ABSTRACT: Scientific assessments have established that c1imate 
                         change is real and has significant impacts on agriculture, power 
                         generation and the economy of a country. Hence a better prediction 
                         of future c1imate is necessary and can be achieved by a better 
                         understanding of the changing patterns of the present c1imate. 
                         This requires accurate monitoring of the Earth system through 
                         satellites, atmospheric soundings, and ground stations network 
                         over a long period of time. Among various monitored variables, 
                         atmospheric temperature is the one that directly modulates the 
                         Long Wave Radiation (LWR). In Brazil, the National Organization 
                         System of Environmental Data (SONDA) conducts environmental ground 
                         observations with the intent of generating high quality reliable 
                         data. The present work elucidates a methodology to evaluate the 
                         accuracy of the LWR observations as well as gives a technique for 
                         improving the data quality. Based on outdoor calibration concepts, 
                         it compares data from different models or brands of LWR sensors 
                         with data generated by a standard sensor. The sensor comparison is 
                         evaluated using statistical methods. Using this methodology the 
                         data bias produced by LWR sensors were minimized at 
                         \$7,49W/m^{2}\$ for PIR senso r and \$3,26W/m^{2}\$ for CGR4 
                         sensor. To do correction of the effects of occasional incidence of 
                         direct Short Wave Radiation (SWR) over the sensors was possible. 
                         At noon the correction was \$10W/m^{2}\$ for PIR sensor and 
                         \$5W/m^{2}\$ for CGR4 sensor.",
            committee = "Pereira, Enio Bueno (presidente) and Thomaz J{\'u}nior, Jos{\'e} 
                         Celso (orientador) and Coelho, Simone Marilene Sievert da Costa 
                         and Corr{\^e}a, Marcelo de Paula and Martins, Fernando Ramos",
         englishtitle = "Pyrgeometer characterization and quality control of measured 
                         data",
             language = "pt",
                pages = "90",
                  ibi = "8JMKD3MGP5W34M/3GA8ETS",
                  url = "http://urlib.net/ibi/8JMKD3MGP5W34M/3GA8ETS",
           targetfile = "publicacao.pdf",
        urlaccessdate = "27 abr. 2024"
}