Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia ...
The aerosol radiative effect is an important source of uncertainty in estimating the anthropogenic impact of global climate change. One of the main open questions is the role of radiation absorption by aerosols and its relation to land use worldwide, particularly in the Amazon Rainforest. Using AERO...
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ftdatacite:10.13016/m2ocru-vdir 2023-08-27T04:03:32+02:00 Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia ... Morais, Fernando G. Franco, Marco A. Palácios, Rafael Machado, Luiz A. T. Rizzo, Luciana V. Barbosa, H. M. J. Jorge, Fabio Schafer, Joel S. Holben, Brent N. Landulfo, Eduardo Artaxo, Paulo 2022 https://dx.doi.org/10.13016/m2ocru-vdir https://mdsoar.org/handle/11603/26113 en eng MDPI Public Domain Mark 1.0 This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. http://creativecommons.org/publicdomain/mark/1.0/ Text Collection article 2022 ftdatacite https://doi.org/10.13016/m2ocru-vdir 2023-08-07T14:24:23Z The aerosol radiative effect is an important source of uncertainty in estimating the anthropogenic impact of global climate change. One of the main open questions is the role of radiation absorption by aerosols and its relation to land use worldwide, particularly in the Amazon Rainforest. Using AERONET (Aerosol Robotic Network) long-term measurements of aerosol optical depth (AOD) at a wavelength of 500 nm and absorption AOD (AAOD) at wavelengths of 440, 675, and 870 nm, we estimated the fraction and seasonality of the black carbon (BC) and brown carbon (BrC) contributions to absorption at 440 nm. This was conducted at six Amazonian sites, from central Amazon (Manaus and the Amazon Tall Tower Observatory—ATTO) to the deforestation arc (Rio Branco, Cuiabá, Ji-Paraná, and Alta Floresta). In addition, land use and cover data from the MapBiomas collection 6.0 was used to access the land transformation from forest to agricultural areas on each site. The results showed, for the first time, important geographical ... Article in Journal/Newspaper Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) Alta Rio Branco ENVELOPE(-64.016,-64.016,-65.416,-65.416) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
description |
The aerosol radiative effect is an important source of uncertainty in estimating the anthropogenic impact of global climate change. One of the main open questions is the role of radiation absorption by aerosols and its relation to land use worldwide, particularly in the Amazon Rainforest. Using AERONET (Aerosol Robotic Network) long-term measurements of aerosol optical depth (AOD) at a wavelength of 500 nm and absorption AOD (AAOD) at wavelengths of 440, 675, and 870 nm, we estimated the fraction and seasonality of the black carbon (BC) and brown carbon (BrC) contributions to absorption at 440 nm. This was conducted at six Amazonian sites, from central Amazon (Manaus and the Amazon Tall Tower Observatory—ATTO) to the deforestation arc (Rio Branco, Cuiabá, Ji-Paraná, and Alta Floresta). In addition, land use and cover data from the MapBiomas collection 6.0 was used to access the land transformation from forest to agricultural areas on each site. The results showed, for the first time, important geographical ... |
format |
Article in Journal/Newspaper |
author |
Morais, Fernando G. Franco, Marco A. Palácios, Rafael Machado, Luiz A. T. Rizzo, Luciana V. Barbosa, H. M. J. Jorge, Fabio Schafer, Joel S. Holben, Brent N. Landulfo, Eduardo Artaxo, Paulo |
spellingShingle |
Morais, Fernando G. Franco, Marco A. Palácios, Rafael Machado, Luiz A. T. Rizzo, Luciana V. Barbosa, H. M. J. Jorge, Fabio Schafer, Joel S. Holben, Brent N. Landulfo, Eduardo Artaxo, Paulo Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia ... |
author_facet |
Morais, Fernando G. Franco, Marco A. Palácios, Rafael Machado, Luiz A. T. Rizzo, Luciana V. Barbosa, H. M. J. Jorge, Fabio Schafer, Joel S. Holben, Brent N. Landulfo, Eduardo Artaxo, Paulo |
author_sort |
Morais, Fernando G. |
title |
Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia ... |
title_short |
Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia ... |
title_full |
Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia ... |
title_fullStr |
Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia ... |
title_full_unstemmed |
Relationship between Land Use and Spatial Variability of Atmospheric Brown Carbon and Black Carbon Aerosols in Amazonia ... |
title_sort |
relationship between land use and spatial variability of atmospheric brown carbon and black carbon aerosols in amazonia ... |
publisher |
MDPI |
publishDate |
2022 |
url |
https://dx.doi.org/10.13016/m2ocru-vdir https://mdsoar.org/handle/11603/26113 |
long_lat |
ENVELOPE(-64.016,-64.016,-65.416,-65.416) |
geographic |
Alta Rio Branco |
geographic_facet |
Alta Rio Branco |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_rights |
Public Domain Mark 1.0 This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. http://creativecommons.org/publicdomain/mark/1.0/ |
op_doi |
https://doi.org/10.13016/m2ocru-vdir |
_version_ |
1775350964813824000 |