Long Term Analysis of Optical and Radiative Properties of Aerosols in the Amazon Basin

Palácios, Rafael da Silva; Romera, Kelly Sousa; Curado, Leone Francisco Amorim; Banga, Nelson Mário; Rothmund, Lucas Douglas; Sallo, Fernando da Silva; Morais, Denes M. de; Santos, Anna Carolinna Albino; Moraes, Tonny Jader de; Morais, Fernando; Landulfo, Eduardo; Franco, Marco Aurélio; Kuhnen, Igor Antonio; Marques, João Basso; Nogueira, José de Souza; Júnior, Luiz Claudio Galvão do Valle; Rodrigues, Thiago Rangel

doi:10.4209/aaqr.2019.04.0189

Cited by 26 publications

(30 citation statements)

References 40 publications

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“…The analysis comprised a maximum period of 16 years, from 2002 to 2017, depending on the data availability in each site. Site locations are shown in Figure 1, and more information about them can be obtained elsewhere [32].…”

Section: Aeronet Datamentioning

confidence: 99%

Evaluation of MODIS Dark Target AOD Product with 3 and 10 km Resolution in Amazonia

et al. 2022

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The techniques and analyses employed by remote sensing provide key information about atmospheric particle properties at regional and global scales. However, limitations in optical spectral models used to represent the different types of aerosols in the atmosphere and their effects (direct and indirect) are still one of the major causes of sources of uncertainties and substantial impacts in climate prediction. There are no studies yet in South America, especially in the Amazon Basin, that have evaluated the advantages, disadvantages, inconsistencies, applicability, and suitability of the MODIS sensor (Moderate Resolution Imaging Spectroradiometer) destined for monitoring the ambient aerosol optical thickness over rivers and continents. In this study, the results of the DT (Dark Target) algorithm for products with 3 km and 10 km resolutions were systematically evaluated for six sites in the Amazon rainforest. The comparisons between the products were carried out with the AERONET (Aerosol Robotic Network) measurements, which were used as reference. Statistical parameters between AERONET vs. MODIS were also evaluated based on biomass burning records in the site regions. Here, the DT 10 km product showed satisfactory performance for the Amazon region, with observations between the expected error (EE) limits above 66%, in addition to R > 0.8 and RMSE < 0.3. However, the regional analysis for the two sites in the central and southern regions of the Amazon basin did not have the same performance, where the results showed an EE of 24 and 47%, respectively. The DT 3 km product did not perform well in any site, with an EE below 50%. Both products overestimated the AOD, but the 3 km product overestimated it approximately four times more due to its algorithm setup. Thus, we recommend the 10 km product for general analysis in Amazonia. Regional biomass burning records showed a direct relationship with the AERONET vs. MODIS DT with overestimation of both products. All variations between products and sites were justified based on the difficulty of retrieving surface reflectance and the model selected for local aerosols. Improvements in the optical spectral model currently implemented in the algorithms, with more realistic representations of the main types of the aerosol present in the Amazon Basin, may contribute to better performance among the evaluated products.

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Section: Aeronet Datamentioning

confidence: 99%

Evaluation of MODIS Dark Target AOD Product with 3 and 10 km Resolution in Amazonia

et al. 2022

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“…Other studies have used sensitivity scenarios to understand how aerosol optical properties and secondary formation can be affected by events such as biomass burning (Vara-Vela et al, 2018) or urban pollution (Shrivastava et al, 2019). Many studies have focused on improving the understanding of an urban plume's impact on aerosol optical properties by comparing measurements during background conditions with periods affected by the pollution plume (Palacios et al, 2020;de Sá et al, 2019;Brito et al, 2014;Rizzo et al, 2013Rizzo et al, , 2011. However, little work has been done to analyze the atmospheric chemistry in the regions typically within the plume but without the plume's effects.…”

Section: Introductionmentioning

confidence: 99%

“…Numerical simulations with highresolution regional models, such as the Weather Research and Forecasting Model with Chemistry (WRF-Chem; Grell et al, 2005), are necessary for this strategy to quantify the effects of urban areas on aerosol levels and, ultimately, on the ecosystem, especially in regions that lack ground-based observations. Different aerosol optical properties have been used to study aerosol impacts on ecosystems and the radiation balance, such as SSA (e.g., Dubovik and King, 2000;Lim et al, 2014;Russell et al, 2010;Rizzo et al, 2013), absorption Ångström exponent (AAE) and scattering Ångström exponent (SAE; e.g., Romano et al, 2019;Palacios et al, 2020) and g aer (Korras-Carraca et al, 2015). The impacts of Manaus urban emissions on the characteristics of the aerosol population (size distribution, quantity, chemical and physical composition) in regions downwind of Manaus have been described by Rizzo et al (2013).…”

Section: Introductionmentioning

confidence: 99%

Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin

Nascimento

Béla

Meller³

et al. 2021

Atmos. Chem. Phys.

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Abstract. The Green Ocean Amazon experiment – GoAmazon 2014–2015 – explored the interactions between natural biogenic forest emissions from central Amazonia and urban air pollution from Manaus. Previous GoAmazon 2014–2015 studies showed that nitrogen oxide (NOx = NO + NO2) and sulfur oxide (SOx) emissions from Manaus strongly interact with biogenic volatile organic compounds (BVOCs), affecting secondary organic aerosol (SOA) formation. In previous studies, ground-based and aircraft measurements provided evidence of SOA formation and strong changes in aerosol composition and properties. Aerosol optical properties also evolve, and their impacts on the Amazonian ecosystem can be significant. As particles age, some processes, such as SOA production, black carbon (BC) deposition, particle growth and the BC lensing effect change the aerosol optical properties, affecting the solar radiation flux at the surface. This study analyzes data and models SOA formation using the Weather Research and Forecasting with Chemistry (WRF-Chem) model to assess the spatial variability in aerosol optical properties as the Manaus plumes interact with the natural atmosphere. The following aerosol optical properties are investigated: single scattering albedo (SSA), asymmetry parameter (gaer), absorption Ångström exponent (AAE) and scattering Ångström exponent (SAE). These simulations were validated using ground-based measurements at three experimental sites, namely the Amazon Tall Tower Observatory – ATTO (T0a), downtown Manaus (T1), Tiwa Hotel (T2) and Manacapuru (T3), as well as the U.S. Department of Energy (DOE) Gulfstream 1 (G-1) aircraft flights. WRF-Chem simulations were performed over 7 d during March 2014. Results show a mean biogenic SOA (BSOA) mass enrichment of 512 % at the T1 site, 450 % in regions downwind of Manaus, such as the T3 site, and 850 % in areas north of the T3 site in simulations with anthropogenic emissions. The SOA formation is rather fast, with about 80 % of the SOA mass produced in 3–4 h. Comparing the plume from simulations with and without anthropogenic emissions, SSA shows a downwind reduction of approximately 10 %, 11 % and 6 % at the T1, T2 and T3 sites, respectively. Other regions, such as those further downwind of the T3 site, are also affected. The gaer values increased from 0.62 to 0.74 at the T1 site and from 0.67 to 0.72 at the T3 site when anthropogenic emissions are active. During the Manaus plume-aging process, a plume tracking analysis shows an increase in SSA from 0.91 close to Manaus to 0.98 160 km downwind of Manaus as a result of SOA production and BC deposition.

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Section: Introductionmentioning

confidence: 99%

“…Numerical simulations with high-resolution regional models such as the Weather Research and Forecasting Model with Chemistry (WRF-Chem; Grell et al (2005)) are necessary for this strategy to quantify the effects of urban areas on aerosol levels and ultimately on the ecosystem, especially in regions that lack ground based observations. Different aerosol optical properties have been used to study aerosol impacts on ecosystems and the radiation balance, such as SSA (e.g., Dubovik and King, 2000;Lim et al, 2014;Russell et al, 2010;Rizzo et al, 2013), SAE and AAE (e.g., Romano et al, 2019;Palacios et al, 2020), and g aer (Korras-Carraca et al, 2015). The significant impacts of Manaus urban emissions on the characteristics of the aerosol population (size distribution, quantity, chemical and physical composition) in regions downwind of Manaus have been described by Rizzo et al (2013).…”

Section: Introductionmentioning

confidence: 99%

A formação de aerossóis orgânicos secundários através da interação físico-química de emissões urbanas de Manaus com emissões biogênicas da Floresta Amazônica

Meller¹

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pelo cuidado, tempo e esforço despendidos na orientação e, em especial, pelo trabalho em defesa da ciência de qualidade que certamente me influenciou a continuar na vida científica apesar do período difícil. À Prof. Samara Carbone pelo incansável apoio em longas reuniões durante estes dois anos de mestrado que me ajudaram muito a desenvolver e interpretar o estudo de espectrometria de massa.À equipe do LFA que trabalhou arduamente para idealizar, implantar e operar os equipamentos do experimento GoAmazon, dentre eles

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Long Term Analysis of Optical and Radiative Properties of Aerosols in the Amazon Basin

Cited by 26 publications

References 40 publications

Evaluation of MODIS Dark Target AOD Product with 3 and 10 km Resolution in Amazonia

Evaluation of MODIS Dark Target AOD Product with 3 and 10 km Resolution in Amazonia

Aerosols from anthropogenic and biogenic sources and their interactions – modeling aerosol formation, optical properties, and impacts over the central Amazon basin

A formação de aerossóis orgânicos secundários através da interação físico-química de emissões urbanas de Manaus com emissões biogênicas da Floresta Amazônica

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