Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment
Fires associated with land use and land cover changes release large amounts of aerosols and trace gases into the atmosphere. Although several inventories of biomass burning emissions cover Brazil, there are still considerable uncertainties and differences among them. While most fire emission inv...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/16/6961/2016/acp-16-6961-2016.pdf |
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| author | G. Pereira R. Siqueira N. E. Rosário K. L. Longo K. L. Longo S. R. Freitas S. R. Freitas F. S. Cardozo J. W. Kaiser M. J. Wooster M. J. Wooster |
| author_facet | G. Pereira R. Siqueira N. E. Rosário K. L. Longo K. L. Longo S. R. Freitas S. R. Freitas F. S. Cardozo J. W. Kaiser M. J. Wooster M. J. Wooster |
| author_sort | G. Pereira |
| collection | DOAJ |
| description | Fires associated with land use and land cover changes release large amounts
of aerosols and trace gases into the atmosphere. Although several inventories
of biomass burning emissions cover Brazil, there are
still considerable uncertainties and differences among them. While most fire
emission inventories utilize the parameters of burned area, vegetation fuel
load, emission factors, and other parameters to estimate the biomass burned
and its associated emissions, several more recent inventories apply an
alternative method based on fire radiative power (FRP) observations to
estimate the amount of biomass burned and the corresponding emissions of
trace gases and aerosols. The Brazilian Biomass Burning Emission Model (3BEM)
and the Fire Inventory from NCAR (FINN) are examples of the first, while the
Brazilian Biomass Burning Emission Model with FRP assimilation (3BEM_FRP)
and the Global Fire Assimilation System (GFAS) are examples of the latter.
These four biomass burning emission inventories were used during the South
American Biomass Burning Analysis (SAMBBA) field campaign. This paper
analyzes and inter-compared them, focusing on eight regions in Brazil and the
time period of 1 September–31 October 2012. Aerosol optical thickness
(AOT<sub>550 nm</sub>) derived from measurements made by the Moderate
Resolution Imaging Spectroradiometer (MODIS) operating on board the Terra and
Aqua satellites is also applied to assess the inventories' consistency. The
daily area-averaged pyrogenic carbon monoxide (CO) emission estimates exhibit
significant linear correlations (<i>r</i>, <i>p</i> > 0.05 level, Student <i>t</i> test)
between 3BEM and FINN and between 3BEM_ FRP and GFAS, with values of 0.86
and 0.85, respectively. These results indicate that emission estimates in
this region derived via similar methods tend to agree with one other.
However, they differ more from the estimates derived via the alternative
approach. The evaluation of MODIS AOT<sub>550 nm</sub> indicates that model
simulation driven by 3BEM and FINN typically underestimate the smoke particle
loading in the eastern region of Amazon forest, while 3BEM_FRP estimations
to the area tend to overestimate fire emissions. The daily regional CO
emission fluxes from 3BEM and FINN have linear correlation coefficients of
0.75–0.92, with typically 20–30 % higher emission fluxes in FINN. The
daily regional CO emission fluxes from 3BEM_FRP and GFAS show linear
correlation coefficients between 0.82 and 0.90, with a particularly strong
correlation near the arc of deforestation in the Amazon rainforest. In this
region, GFAS has a tendency to present higher CO emissions than 3BEM_FRP,
while 3BEM_FRP yields more emissions in the area of soybean expansion east
of the Amazon forest. Atmospheric aerosol optical thickness is simulated by
using the emission inventories with two operational atmospheric chemistry
transport models: the IFS from Monitoring Atmospheric Composition and Climate
(MACC) and the Coupled Aerosol and Tracer Transport model to the Brazilian
developments on the Regional Atmospheric Modelling System (CCATT-BRAMS).
Evaluation against MODIS observations shows a good representation of the
general patterns of the AOT<sub>550 nm</sub> time series. However, the
aerosol emissions from fires with particularly high biomass consumption still
lead to an underestimation of the atmospheric aerosol load in both models. |
| first_indexed | 2024-12-11T12:29:01Z |
| format | Article |
| id | doaj.art-3386a2d115e14565bc0aa3fd809f43ea |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-11T12:29:01Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-3386a2d115e14565bc0aa3fd809f43ea2022-12-22T01:07:17ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242016-06-01166961697510.5194/acp-16-6961-2016Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experimentG. Pereira0R. Siqueira1N. E. Rosário2K. L. Longo3K. L. Longo4S. R. Freitas5S. R. Freitas6F. S. Cardozo7J. W. Kaiser8M. J. Wooster9M. J. Wooster10Department of Geoscience, Federal University of Sao Joao del-Rei (UFSJ), Sao Joao del-Rei, BrazilCenter for Weather Forecast and Climate Studies, National Institute for Space Research (INPE), Cachoeira Paulista, BrazilEnvironmental Sciences Department, São Paulo Federal University (UNIFESP), Diadema, São Paulo, BrazilCenter for Weather Forecast and Climate Studies, National Institute for Space Research (INPE), Cachoeira Paulista, Brazilnow at: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center and USRA/GESTAR, Greenbelt, MD, USACenter for Weather Forecast and Climate Studies, National Institute for Space Research (INPE), Cachoeira Paulista, Brazilnow at: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center and USRA/GESTAR, Greenbelt, MD, USADepartment of Geoscience, Federal University of Sao Joao del-Rei (UFSJ), Sao Joao del-Rei, BrazilMax Planck Institute for Chemistry (MPIC), Mainz, GermanyDepartment of Geography, King's College London (KCL), London, UKNERC National Centre for Earth Observation (NCEO), Leicester, UKFires associated with land use and land cover changes release large amounts of aerosols and trace gases into the atmosphere. Although several inventories of biomass burning emissions cover Brazil, there are still considerable uncertainties and differences among them. While most fire emission inventories utilize the parameters of burned area, vegetation fuel load, emission factors, and other parameters to estimate the biomass burned and its associated emissions, several more recent inventories apply an alternative method based on fire radiative power (FRP) observations to estimate the amount of biomass burned and the corresponding emissions of trace gases and aerosols. The Brazilian Biomass Burning Emission Model (3BEM) and the Fire Inventory from NCAR (FINN) are examples of the first, while the Brazilian Biomass Burning Emission Model with FRP assimilation (3BEM_FRP) and the Global Fire Assimilation System (GFAS) are examples of the latter. These four biomass burning emission inventories were used during the South American Biomass Burning Analysis (SAMBBA) field campaign. This paper analyzes and inter-compared them, focusing on eight regions in Brazil and the time period of 1 September–31 October 2012. Aerosol optical thickness (AOT<sub>550 nm</sub>) derived from measurements made by the Moderate Resolution Imaging Spectroradiometer (MODIS) operating on board the Terra and Aqua satellites is also applied to assess the inventories' consistency. The daily area-averaged pyrogenic carbon monoxide (CO) emission estimates exhibit significant linear correlations (<i>r</i>, <i>p</i> > 0.05 level, Student <i>t</i> test) between 3BEM and FINN and between 3BEM_ FRP and GFAS, with values of 0.86 and 0.85, respectively. These results indicate that emission estimates in this region derived via similar methods tend to agree with one other. However, they differ more from the estimates derived via the alternative approach. The evaluation of MODIS AOT<sub>550 nm</sub> indicates that model simulation driven by 3BEM and FINN typically underestimate the smoke particle loading in the eastern region of Amazon forest, while 3BEM_FRP estimations to the area tend to overestimate fire emissions. The daily regional CO emission fluxes from 3BEM and FINN have linear correlation coefficients of 0.75–0.92, with typically 20–30 % higher emission fluxes in FINN. The daily regional CO emission fluxes from 3BEM_FRP and GFAS show linear correlation coefficients between 0.82 and 0.90, with a particularly strong correlation near the arc of deforestation in the Amazon rainforest. In this region, GFAS has a tendency to present higher CO emissions than 3BEM_FRP, while 3BEM_FRP yields more emissions in the area of soybean expansion east of the Amazon forest. Atmospheric aerosol optical thickness is simulated by using the emission inventories with two operational atmospheric chemistry transport models: the IFS from Monitoring Atmospheric Composition and Climate (MACC) and the Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modelling System (CCATT-BRAMS). Evaluation against MODIS observations shows a good representation of the general patterns of the AOT<sub>550 nm</sub> time series. However, the aerosol emissions from fires with particularly high biomass consumption still lead to an underestimation of the atmospheric aerosol load in both models.https://www.atmos-chem-phys.net/16/6961/2016/acp-16-6961-2016.pdf |
| spellingShingle | G. Pereira R. Siqueira N. E. Rosário K. L. Longo K. L. Longo S. R. Freitas S. R. Freitas F. S. Cardozo J. W. Kaiser M. J. Wooster M. J. Wooster Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment Atmospheric Chemistry and Physics |
| title | Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment |
| title_full | Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment |
| title_fullStr | Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment |
| title_full_unstemmed | Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment |
| title_short | Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment |
| title_sort | assessment of fire emission inventories during the south american biomass burning analysis sambba experiment |
| url | https://www.atmos-chem-phys.net/16/6961/2016/acp-16-6961-2016.pdf |
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