A150-0004
Assimilation of atmospheric aerosol over the metropolitan area of São Paulo, Brazil with the regional EURAD-IM model on different scales

Monday, 14 December 2020
Poster
Edicle de Souza Fernandes Duarte1, Philipp Franke Dr.2, Anne Caroline Lange Dr.2, Elmar Friese Dr.2, Fábio Juliano da Silva Lopes Dr.3, Eduardo Landulfo Dr.4, Jonatan João da Silva Dr.5, Cláudio Moises Santos e Silva Dr.6, Hendrik Elbern Dr7 and Judith Johanna Hoelzemann Dr8, (1)UFRN Federal University of Rio Grande do Norte, Graduate Program in Climate Sciences, Federal University of Rio Grande do Norte, Natal/RN, Brazil, Natal, Brazil, (2)Forschungszentrum Jülich GmbH, Jülich, Germany, Institute of Energy and Climate Research: Troposphere (IEK-8), Jülich, Germany, (3)Federal University of São Paulo, Environmental Science Department, Institute of Environmental, Chemical and Pharmaceutical Science, Federal University of São Paulo, Brazil, São Paulo, Brazil, (4)IPEN Nuclear Energy Research Institute, Centre for Laser and Applications, Nuclear and Energy Research Institute, São Paulo, Brazil, Sao Paulo, Brazil, (5)Center for Exact Sciences and Technologies, Federal University of Western Bahia, Brazil, Center for Exact Sciences and Technologies, Bahia, Brazil, (6)Federal University of Rio Grande do Norte, Department of Atmospheric and Climate Sciences, Federal University of Rio Grande do Norte, Natal/RN, Brazil, Natal, Brazil, (7)Rhenish Institute for Environmental Research at the University of Cologne, Köln, Germany, Rhenish Institute for Environmental Research at the University of Cologne, Köln, Germany, Köln, Germany, (8)UFRN Federal University of Rio Grande do Norte, Department of Atmospheric and Climate Sciences, Natal, Brazil
Abstract:
We present a high-resolution air quality model study over São Paulo, Brazil with the EURopean Air Pollution Dispersion - Inverse Model used for the first time over South America simulating detailed features of aerosols. Modeled data are evaluated with observational surface and Lidar data. Two case studies in 2016 with distinct meteorological conditions and pollution plume features show transport (i) from central South America, associated to biomass burning activities, (ii) from the rural part of the state of São Paulo (SP), (iii) between the metropolitan areas of Rio de Janeiro and São Paulo (MASP) either through the Paraíba Valley or via the ocean, connecting Brazil’s two largest cities, (iv) from the port-city Santos to MASP and also from MASP to interior cities as Campinas, and vice versa. Model results show to have strong correlations with clustered surface stations over MASP Center (Pearson’s coefficient r = 0.7) and EURAD-IM simulations vary within the observational standard deviation, with a Mean Percentual Error (MPE) of 10 %. For other clusters, outside MASP, the general performance is mostly under a MPE of 40 %. The model’s vertical distributions of aerosol layers agree with the Lidar profiles that show either characteristics of long-range transported biomass burning plumes, or of local pollution. The distinct transport patterns that agree with satellite AOD and fire spot images as well as with the ground-based observations within the standard deviations, allows us exploring patterns of air pollution in a detailed manner and to understand the complex interactions between local to long-range transport source. Further the method of variational data assimilation has been applied to assimilate AOD from two AERONET stations at MASP and PM10 mass concentration of 21 CETESB surface stations into the model. Performance results of the assimilation scheme using both model-generated data and real observations are presented for tropospheric conditions to demonstrate the skill of the data assimilations scheme. The method allows us to optimize initial conditions for air pollution modelling, as well as emission rates even when only sparse observation are available and, thus allows us to explore in greater detail the aerosol sources, their transport, transformation and sinks over the urban area of São Paulo.
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