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@InProceedings{DiasNetoCoel:2015:AvPrOp,
               author = "Dias Neto, Jos{\'e} and Coelho, Simone Marilene Sievert da 
                         Costa",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o da profundidade optica dos Aeross{\'o}is 
                         obtidas pela nova gera{\c{c}}{\~a}o de sat{\'e}lites polar da 
                         NOAA sobre o territ{\'o}rio brasileiro",
            booktitle = "P{\^o}steres",
                 year = "2015",
         organization = "Simp{\'o}sio Internacional de Climatologia, 6. (SIC)",
             keywords = "Aerossois, Sat{\'e}lite, S-NPP, Aerosol, Satellite, S-NPP.",
             abstract = "Os esfor{\c{c}}os para obter a Profundidade {\'O}ptica dos 
                         Aeross{\'o}is (AOT) tem crescido com o decorrer dos anos e 
                         est{\'a} associado a necessidade de entender a 
                         intera{\c{c}}{\~a}o com a radia{\c{c}}{\~a}o e o melhorar os 
                         modelos num{\'e}ricos. Os aeross{\'o}is atuam como controladores 
                         da radia{\c{c}}{\~a}o e das nuvens. S{\~a}o classificados como 
                         naturais (ex. poeira, sal marinho) ou antropog{\^e}nico (ex. 
                         polui{\c{c}}{\~a}o, fuligem). No Brasil, a maioria das fontes de 
                         aeross{\'o}is s{\~a}o da queima de biomassa. Devido a grande 
                         varia{\c{c}}{\~a}o espacial e temporal, dados de sat{\'e}lites 
                         s{\~a}o usados como a principal forma de obter AOT em escala 
                         global. Em continuidade do programa de Observa{\c{c}}{\~a}o do 
                         Sistema Terrestre, o Suomi National Polar-orbiting Partnership 
                         (S-NPP) foi lan{\c{c}}ado em 2011, sendo o primeiro da nova 
                         gera{\c{c}}{\~a}o de sat{\'e}lites do Sistema Nacional de 
                         Sat{\'e}lites Ambientais de Orbita Polar. O S-NPP {\'e} composto 
                         por cinco sensores, um deles {\'e} o Visible Infrared Imaging 
                         Radiometer Suite (VIIRS) com vinte e duas bandas, das quais nove 
                         s{\~a}o empregadas para calcular AOT. Desde 2013, a 
                         DSA/CPTEC/INPE tem processado AOT do VIIRS/NPP permitindo 
                         monitorar o aerossol no Brasil. O objetivo deste trabalho {\'e} 
                         apresentar a valida{\c{c}}{\~a}o do AOT/S-NPP Produto 
                         Intermedi{\'a}rio (resolu{\c{c}}{\~a}o de 0.750 x 0.750km) por 
                         compara{\c{c}}{\~a}o com dados de superf{\'{\i}}cie 
                         provenientes de nove esta{\c{c}}{\~a}o da rede de 
                         observa{\c{c}}{\~a}o AERONET. As esta{\c{c}}{\~o}es est{\~a}o 
                         distribu{\'{\i}}das pelo Brasil, uma na regi{\~a}o nordeste, 
                         uma na regi{\~a}o sudeste, uma na regi{\~a}o sul, tr{\^e}s na 
                         regi{\~a}o norte e tr{\^e}s na regi{\~a}o centro-oeste. 
                         Adicionalmente. AOT/MODIS do sat{\'e}lite Aqua {\'e} usado na 
                         compara{\c{c}}{\~a}o devido ser um produto bem estabelecido 
                         funcionando por mais de dez anos. A metodologia de an{\'a}lise 
                         {\'e} baseada em Ichoku et al.,(2002) no qual AOT do 
                         sat{\'e}lite {\'e} a m{\'e}dia espacial de uma caixa de 40x40km 
                         centrada na esta{\c{c}}{\~a}o da AERONET. O AOT/AERONET {\'e} 
                         calculado como a m{\'e}dia temporal em uma hora, centrada no 
                         tempo da passagem do sat{\'e}lite. A concord{\^a}ncia entre o 
                         sat{\'e}lite e AERONET {\'e} quantificada aplicando as seguintes 
                         m{\'e}tricas estat{\'{\i}}sticas: R2, desvio padr{\~a}o e 
                         calculando a curva de ajuste como y=ax+b. O par{\^a}metro 'a' foi 
                         calculado para cada esta{\c{c}}{\~a}o usando AOT/AERONET x 
                         AOT/MODIS e AOT/AERONET x AOT/VIIRS. Se |1-a|>0.5, para 
                         compara{\c{c}}{\~a}o com o AOT/MODIS, a esta{\c{c}}{\~a}o foi 
                         classificada como suspeita. Os resultados mostram grande 
                         dispers{\~a}o do AOT/VIIRS, sendo que o R2 calculado para todas 
                         esta{\c{c}}{\~o}es foi de 0.20 e aumentou para 0.38 quando as 
                         esta{\c{c}}{\~o}es suspeitas foram negligenciadas. Significantes 
                         mudan{\c{c}}as ocorreram para o coeficiente angular 'a', o qual 
                         foi 0.55 para todas as esta{\c{c}}{\~o}es e aumentou para 0.86 
                         negligenciando as esta{\c{c}}{\~o}es suspeitas. A mesma analise 
                         foi realizada para AOT/MODIS, onde R2 foi 0.59 para todas as 
                         esta{\c{c}}{\~o}es e 0.83 quando as esta{\c{c}}{\~o}es 
                         suspeitas foram removidas. Na an{\'a}lise por esta{\c{c}}{\~a}o 
                         do AOT/S-NPP, sem as esta{\c{c}}{\~o}es suspeitas, foram obtidos 
                         R2=0.48 e a=0.82 para Cuiaba-Miranda e R2=0.31 e a=0.65 para 
                         Itajub{\'a}. ABSTRACT: The effort to retrieve Aerosol Optical 
                         Thickness (AOT) has increased along of years and is associated to 
                         the need understand interaction with radiation and to improve 
                         numerical models. Aerosols act as radiation and cloud controller. 
                         They can be classified as natural (e.g. dust, marine salt) or 
                         anthropogenic (e.g. pollution, soot). In Brazil, most aerosol 
                         source is from biomass burning. Due to high spatial and temporal 
                         variability, satellite information is one the main tools to 
                         retrieve AOT value in global scale. In continuity of remote Earth 
                         Observation System program, the Suomi National Polar-orbiting 
                         Partnership (S-NPP) was launched in 2011, being the first of new 
                         generation satellites from National Polar-orbiting Operational 
                         Environmental Satellite System. S-NPP carry five instruments, one 
                         of them is Visible Infrared Imaging Radiometer Suite (VIIRS) with 
                         twenty-two bands From this twenty-two bands nine are used to 
                         derive AOT. Since 2013, DSA/CPTEC/INPE has been processing AOT 
                         from VIIRS/NPP enabling to monitor aerosol over Brazil. This work 
                         aim is to present the validation of the AOT/S-NPP Intermediate 
                         Product by comparing satellite data with ground-based data from 
                         nine AERONET stations. The analyses are performed on daily bases 
                         from January to December 2014. The AERONET stations are spread out 
                         over Brazil where one station is situated in Northeast, Southeast 
                         and South regions and three are placed in North and West-center 
                         regions. Additionally, the AOT/MODIS from Aqua Satellite is used 
                         in the comparison since it is a well established product working 
                         for more than 10 years. The analysis methodology is based in 
                         Ichoku et al.,(2002) which satellite AOT value is the spatial mean 
                         data centered box (40  40km) in AERONET station. AERONET AOT data 
                         value is calculated as temporal average of one hour data centered 
                         in satellite passage time. The agreement between satellite and 
                         AERONET data was quantified applying the following statistics 
                         metrics: R2, standard deviation and calculating of linear fitting 
                         curve y=ax+b. For each station angular coefficient 'a' was 
                         calculated using AOT/AERONET x AOT/MODIS and AOT/AERONET x 
                         AOT/VIIRS. If |1-a|>0.5, for AOT/MODIS comparison, the station was 
                         classified like suspected. Results showed larger AOT/VIIRS 
                         dispersion. R2 calculated for all stations was 0.20 and increased 
                         to 0.38 when neglecting suspected stations. A significant changes 
                         occurred for angular coefficient 'a'. The 'a' values founded for 
                         all stations was 0.55 and it increases to 0.86 neglecting 
                         suspected stations. The same analysis was made using AOT/MODIS, 
                         where R2 was 0.59 for all station while was 0.83 when suspected 
                         was removed. These results shows that AOT/S-NPP has similar 
                         performance than AOT/MODIS. Analysis for AOT/S-NPP by station, 
                         without suspected group, gave R2 = 0.48 and a = 0.82 to 
                         Cuiaba-Miranda and R2 = 0.31 and a = 0.65 to Itajub{\'a}.",
  conference-location = "Natal, RN",
      conference-year = "13-16 out.",
        urlaccessdate = "24 nov. 2020"
}


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