| Full text | |
| Author(s): |
Pereira, Gabriel
[1]
;
Siqueira, Ricardo
[2]
;
Rosario, Nilton E.
[3]
;
Longo, Karla L.
[2, 4, 5]
;
Freitas, Saulo R.
[2, 4, 5]
;
Cardozo, Francielle S.
[1]
;
Kaiser, Johannes W.
[6]
;
Wooster, Martin J.
[7, 8]
Total Authors: 8
|
| Affiliation: | [1] Fed Univ Sao Joao del Rei UFSJ, Dept Geosci, Sao Joao Del Rei - Brazil
[2] Natl Inst Space Res INPE, Ctr Weather Forecast & Climate Studies, Cachoeira Paulista - Brazil
[3] Sao Paulo Fed Univ UNIFESP, Dept Environm Sci, Sao Paulo - Brazil
[4] NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD - USA
[5] USRA GESTAR, Greenbelt, MD - USA
[6] Max Planck Inst Chem, Mainz - Germany
[7] Kings Coll London, Dept Geog, London WC2R 2LS - England
[8] NERC Natl Ctr Earth Observat NCEO, Leicester, Leics - England
Total Affiliations: 8
|
| Document type: | Journal article |
| Source: | Atmospheric Chemistry and Physics; v. 16, n. 11, p. 6961-6975, 2016. |
| Web of Science Citations: | 11 |
| Abstract | |
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(550aEuro-nm)) 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 (r, paEuro- > aEuro-0.05 level, Student t 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(550aEuro-nm) 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 20-30aEuro-% 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(550aEuro-nm) 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. (AU) | |
| FAPESP's process: | 12/13575-9 - Participation in the field campaign SAMBBA, data analysis and modeling |
| Grantee: | Karla Maria Longo de Freitas |
| Support Opportunities: | Regular Research Grants |