Close

@PhDThesis{Reis:2024:CoEmBi,
               author = "Reis, Andr{\'e} Luiz dos",
                title = "Estudo num{\'e}rico do impacto dos aeross{\'o}is na 
                         microf{\'{\i}}sica de nuvens: contribui{\c{c}}{\~a}o das 
                         emiss{\~o}es biog{\^e}nicas e antropog{\^e}nicas da 
                         Amaz{\^o}nia",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2024",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2023-11-17",
             keywords = "aeross{\'o}is, CCN, WRF-Chem, microf{\'{\i}}sica de nuvens, 
                         aerosols, CCN, WRF-Chem, cloud microphysics.",
             abstract = "A convec{\c{c}}{\~a}o na regi{\~a}o Amaz{\^o}nica, uma extensa 
                         floresta tropical localizada na regi{\~a}o norte do Brasil, 
                         {\'e} um importante mecanismo no ciclo hidrol{\'o}gico e no 
                         aquecimento da atmosfera tropical e ainda as suas 
                         varia{\c{c}}{\~o}es, em termos de intensidade e 
                         posi{\c{c}}{\~a}o, possuem um papel importante na 
                         determina{\c{c}}{\~a}o do tempo e do clima desta regi{\~a}o. 
                         Al{\'e}m dos processos din{\^a}micos e termodin{\^a}micos da 
                         atmosfera, as caracter{\'{\i}}sticas qu{\'{\i}}micas e 
                         aerodin{\^a}micas dos aeross{\'o}is exercem um papel importante 
                         na microf{\'{\i}}sica de nuvens e no desenvolvimento convectivo. 
                         A regi{\~a}o ao entorno de Manaus caracteriza um ambiente 
                         {\'u}nico em todo o mundo para estudar o efeito das emiss{\~o}es 
                         antropog{\^e}nicas e biog{\^e}nicas na concentra{\c{c}}{\~a}o 
                         de aerossol e consequentemente na microf{\'{\i}}sica de nuvens. 
                         Este trabalho tem como objetivo avaliar os aeross{\'o}is 
                         modulados pelas emiss{\~o}es biog{\^e}nicas da floresta tropical 
                         amaz{\^o}nica e antropog{\^e}nicas da regi{\~a}o metropolitana 
                         de Manaus durante o per{\'{\i}}odo chuvoso para as nuvens 
                         quentes. Para isso foi utilizado o modelo WRF com qu{\'{\i}}mica 
                         acoplada, executado com alta resolu{\c{c}}{\~a}o, e dados 
                         coletados durante o experimento GoAmazon2014/15. Os resultados 
                         indicam que o modelo representa eficientemente a meteorologia e a 
                         qu{\'{\i}}mica na regi{\~a}o de Manaus. O modelo totalmente 
                         acoplado permitiu reproduzir a dispers{\~a}o e o envelhecimento 
                         da pluma. {\`A} medida que a pluma envelhece ocorre o r{\'a}pido 
                         crescimento do n{\'u}mero de aeross{\'o}is na moda de 
                         acumula{\c{c}}{\~a}o com pico de 1,9 109 kg-1 a 100 km de 
                         Manaus. O aumento nas concentra{\c{c}}{\~o}es de aeross{\'o}is 
                         na moda de acumula{\c{c}}{\~a}o {\'e} associado {\`a} 
                         forma{\c{c}}{\~a}o de aerossol org{\^a}nico secund{\'a}rio 
                         (SOA) biog{\^e}nico e antropog{\^e}nico, assim como 
                         aeross{\'o}is derivados de sulfato (SO42-) com picos em massa de 
                         4, 100 e 1,4 vezes a concentra{\c{c}}{\~a}o de background 
                         respectivamente observados por volta das 15 UTC (13 horas 
                         hor{\'a}rio local). Esse aumento na concentra{\c{c}}{\~a}o de 
                         aerossol correlaciona-se significativamente com a 
                         concentra{\c{c}}{\~a}o de n{\'u}cleos de 
                         condensa{\c{c}}{\~a}o de nuvens (CCN) a 0,5% de 
                         supersatura{\c{c}}{\~a}o. Encontrou-se que o pico na 
                         concentra{\c{c}}{\~a}o de CCN {\'e} de aproximadamente 800 cm-3 
                         observado tamb{\'e}m cerca de 100 km de Manaus, e se estabiliza 
                         pr{\'o}ximo de 500 cm-3 a 300 km de Manaus. Sob 
                         condi{\c{c}}{\~o}es de fundo a concentra{\c{c}}{\~a}o de CCN 
                         {\'e} menor que 200 cm-3. As emiss{\~o}es antropog{\^e}nicas 
                         contribuem com um aumento de cerca de 400 cm-3, na 
                         concentra{\c{c}}{\~a}o de CCN que por sua vez tamb{\'e}m 
                         depende das emiss{\~o}es biog{\^e}nicas. Estas somadas as 
                         emiss{\~o}es antropog{\^e}nicas contribuem com cerca de 200 cm-3 
                         na concentra{\c{c}}{\~a}o e CCN. Apesar da 
                         concentra{\c{c}}{\~a}o elevada de aerossol na pluma e a 
                         concentra{\c{c}}{\~a}o de CCN tamb{\'e}m ser maior, a 
                         raz{\~a}o CCN/aerossol diminui, medindo 0,02, em contraste com 
                         0,28 na regi{\~a}o de background. As diferentes 
                         caracter{\'{\i}}sticas qu{\'{\i}}micas e aerodin{\^a}micas 
                         dos aeross{\'o}is nas regi{\~o}es de background e na regi{\~a}o 
                         da pluma urbana modulam a concentra{\c{c}}{\~a}o de n{\'u}mero 
                         de got{\'{\i}}culas (DNC), conte{\'u}do de {\'a}gua 
                         l{\'{\i}}quida (LWC) e raio efetivo (De). As nuvens na pluma 
                         apresentam maior DNC e LWC, e menor De. Aproximadamente 40% das 
                         nuvens na pluma apresentam LWC acima de 2,5 g/m³, enquanto apenas 
                         10% nas regi{\~o}es de fundo. O De m{\'e}dio {\'e} de 10 e 13 
                         {{\μm}} na pluma e regi{\~o}es de fundo, respectivamente. 
                         Estes efeitos s{\~a}o observados at{\'e} cerca de 4 km de 
                         altura. Para nuvens acima de 4 km o DNC e o De s{\~a}o 
                         aproximadamente equivalentes entre as nuvens nas regi{\~o}es de 
                         background e na pluma por outro lado o LWC e a velocidade vertical 
                         s{\~a}o maiores paras as nuvens moduladas pela pluma, o que 
                         permite relacionar a polui{\c{c}}{\~a}o urbana com o atraso na 
                         precipita{\c{c}}{\~a}o e o revigoramento convectivo. 
                         Simula{\c{c}}{\~o}es de sensibilidade tamb{\'e}m mostraram que 
                         as emiss{\~o}es antropog{\^e}nicas e biog{\^e}nicas influenciam 
                         os processos de nuvens na regi{\~a}o amaz{\^o}nica. Nossos 
                         resultados sugerem que uma representa{\c{c}}{\~a}o mais precisa 
                         dos aeross{\'o}is, frequentemente simplificada nos modelos 
                         num{\'e}ricos, {\'e} necess{\'a}ria para uma modelagem 
                         aprimorada do tempo e do clima. ABSTRACT: Convection in the Amazon 
                         region, an extensive tropical forest located in the northern 
                         region of Brazil, is an important mechanism in the hydrological 
                         cycle and in heating the tropical atmosphere. Furthermore, its 
                         variations, in terms of intensity and position, play a significant 
                         role in determining the weather and climate of this region. In 
                         addition to the dynamic and thermodynamic processes of the 
                         atmosphere, the chemical and aerodynamic characteristics of 
                         aerosols play an important role in cloud microphysics and 
                         convective development. The region surrounding Manaus provides a 
                         unique environment worldwide to study the effect of anthropogenic 
                         and biogenic emissions on aerosol concentration and consequently 
                         on cloud microphysics. This work aims to evaluate aerosols 
                         modulated by biogenic emissions from the Amazon tropical forest 
                         and anthropogenic emissions from the metropolitan region of Manaus 
                         during the rainy season for warm clouds. For this purpose, the WRF 
                         model with coupled chemistry was used, executed at high 
                         resolution, along with data collected during the GoAmazon2014/15 
                         experiment. The results indicate that the model effectively 
                         represents meteorology and chemistry in the Manaus region. The 
                         fully coupled model successfully reproduced plume dispersion and 
                         aging. As the plume ages, there is rapid growth in the number of 
                         aerosols in the accumulation mode with a peak of 1.9 × 109 kg-1 at 
                         100 km from Manaus. The increase in aerosol concentrations in the 
                         accumulation mode is associated with the formation of biogenic and 
                         anthropogenic secondary organic aerosol (SOA), as well as 
                         sulfate-derived aerosols {{(SO4²\⁻)}} with mass peaks at 4, 
                         100, and 1.4 times the background concentration, respectively, 
                         observed around 15 UTC (13 local time). This increase in aerosol 
                         concentration significantly correlates with the concentration of 
                         cloud condensation nuclei (CCN) at 0.5% supersaturation. It was 
                         found that the peak in CCN concentration is approximately 800 cm-3 
                         also observed about 100 km from Manaus and stabilizes near 500 
                         cm-3 at 300 km from Manaus. Under background conditions, the CCN 
                         concentration is less than 200 cm-3. Anthropogenic emissions 
                         contribute to an increase of about 400 cm-3 in CCN concentration, 
                         which in turn also depends on biogenic emissions. These, combined 
                         with anthropogenic emissions, contribute about 200 cm-3 to the CCN 
                         concentration. Despite the elevated aerosol concentration in the 
                         plume and the higher CCN concentration, the CCN/aerosol ratio 
                         decreases, measuring 0.02, in contrast to 0.28 in the background 
                         region. The different chemical and aerodynamic characteristics of 
                         aerosols in background regions and in the urban plume region 
                         modulate droplet number concentration (DNC), liquid water content 
                         (LWC), and effective radius (De). Clouds in the plume exhibit 
                         higher DNC and LWC, and lower De. Approximately 40% of clouds in 
                         the plume have LWC above 2.5 g/m³, while only 10% in background 
                         regions. The average De is 10 and 13 {{\μm}} in the plume 
                         and background regions, respectively. These effects are observed 
                         up to about 4 km in altitude. For clouds above 4 km, DNC and De 
                         are approximately equivalent between clouds in background regions 
                         and in the plume. On the other hand, LWC and vertical velocity are 
                         higher for clouds modulated by the plume, allowing to relate urban 
                         pollution to delayed precipitation and convective invigoration. 
                         Sensitivity simulations also showed that both anthropogenic and 
                         biogenic emissions influence cloud processes in the Amazon region. 
                         Our results suggest that a more accurate representation of 
                         aerosols, often simplified in numerical models, is necessary for 
                         enhanced weather and climate modeling.",
            committee = "Vendrasco, {\'E}der Paulo (presidente) and Herdies, Dirceu Luis 
                         (orientador) and Alvim, D{\'e}bora Souza and Vela, Angel Liduvino 
                         Vara and Nascimento, Jana{\'{\i}}na Mayara Pinto do and 
                         Cecchini, Micael Amore",
         englishtitle = "Numerical study of aerosol impact on cloud microphysics: 
                         contribution of amazon's biogenic and anthropogenic emissions",
             language = "pt",
                pages = "114",
                  ibi = "8JMKD3MGP3W34T/4ACJ4JL",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34T/4ACJ4JL",
           targetfile = "publicacao.pdf",
        urlaccessdate = "2024, May 06"
}


Close