Estimating trace gas and aerosol emissions over South America: Relationship between fire radiative energy released and aerosol optical depth observations |
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| Authors: | Gabriel Pereira Saulo R. Freitas Elisabete Caria Moraes Nelson Jesus Ferreira Yosio Edemir Shimabukuro Vadlamudi Brahmananda Rao Karla M. Longo |
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| Affiliation: | 1. Remote Sensing Division (DSR), National Institute for Space Research, Av dos Astronautas, 1758 Jd. Granja, CEP: 12227-010 São José dos Campos, SP, Brazil;2. Center for Weather Forecasting and Climate Studies (CPTEC), National Institute for Space Research (INPE), Rodovia Presidente Dutra, Km 40, SP-RJ, CEP: 12630-000 Cachoeira Paulista, SP, Brazil;3. Center for Space and Atmospheric Sciences (CEA), National Institute for Space Research, Av dos Astronautas, 1758 Jd. Granja, CEP: 12227-010 São José dos Campos, SP, Brazil;1. Department of Environmental Sciences, University of Virginia, Charlottesville, VA, USA;2. Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, USA;3. Oak Ridge Associated Universities, NOAA ARL Atmospheric Turbulence and Diffusion Division, Oak Ridge, TN, USA;1. Carbon and Nutrient Cycles Division, National Institute for Agro-Environmental Sciences, 3-1-3 Kan-nondai, Tsukuba, Ibaraki 305-8604, Japan;2. Agro-Meteorology Division, National Institute for Agro-Environmental Sciences, Tsukuba, Japan;3. Center for Environmental Measurement and Analysis, National Institute for Environmental Studies, Tsukuba, Japan;4. Environmental Science Analysis & Research Laboratory, Hachimantai, Japan;5. Center for Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Japan;1. State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China;2. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China;3. State Key Laboratory of Clean Energy Utilization, College of Energy Engineering, Zhejiang University, Hangzhou, 310027, China;1. Institute of Geophysics, Faculty of Physics, University of Warsaw, Pasteura 7, 02-093, Warsaw, Poland;2. Institute of Geophysics, Polish Academy of Sciences, Ksiecia Janusza 64, 01-453, Warsaw, Poland;3. Institute of Physical Geography, Faculty of Geography and Regional Studies, University of Warsaw, Krakowskie Przedmie?cie 30, 00-927, Warsaw, Poland;4. Institute of Oceanology, Polish Academy of Sciences, Powstancow Warszawy 55, 81-712, Sopot, Poland;5. Centre for Polar Studies, National Leading Research Centre, 60 Bedzinska Street, 41-200 Sosnowiec, Poland |
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| Abstract: | Contemporary human activities such as tropical deforestation, land clearing for agriculture, pest control and grassland management lead to biomass burning, which in turn leads to land-cover changes. However, biomass burning emissions are not correctly measured and the methods to assess these emissions form a part of current research area. The traditional methods for estimating aerosols and trace gases released into the atmosphere generally use emission factors associated with fuel loading and moisture characteristics and other parameters that are hard to estimate in near real-time applications. In this paper, fire radiative power (FRP) products were extracted from Moderate Resolution Imaging Spectroradiometer (MODIS) and from the Geostationary Operational Environmental Satellites (GOES) fire products and new South America generic biomes FRE-based smoke aerosol emission coefficients were derived and applied in 2002 South America fire season. The inventory estimated by MODIS and GOES FRP measurements were included in Coupled Aerosol-Tracer Transport model coupled to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) and evaluated with ground truth collected in Large Scale Biosphere–Atmosphere Smoke, Aerosols, Clouds, rainfall, and Climate (SMOCC) and Radiation, Cloud, and Climate Interactions (RaCCI). Although the linear regression showed that GOES FRP overestimates MODIS FRP observations, the use of a common external parameter such as MODIS aerosol optical depth product could minimize the difference between sensors. The relationship between the PM2.5μm (Particulate Matter with diameter less than 2.5 μm) and CO (Carbon Monoxide) model shows a good agreement with SMOCC/RaCCI data in the general pattern of temporal evolution. The results showed high correlations, with values between 0.80 and 0.95 (significant at 0.5 level by student t test), for the CATT-BRAMS simulations with PM2.5μm and CO. |
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