@Article{PereiraShMoFrCaLo:2011:MoTrBi,
author = "Pereira, Gabriel and Shimabukuro, Yosio Edemir and Moraes,
Elisabete C. and Freitas, Saulo Ribeiro de and Cardozo, Francielle
S. and Longo, Karla M.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Monitoring the transport of biomass burning emission in South
America",
journal = "Atmospheric Pollution Research",
year = "2011",
volume = "2",
number = "3",
pages = "247--254",
month = "Jul.",
keywords = "aerosol transport, air pollution, atmospheric modeling, biomass
burning, climate change, long-distance transport, weather
forecast.",
abstract = "The main objective of this work is to use Fire Radiative Power
(FRP) to estimate particulate matter with diameter less than 2.5
\μm (PM2.5) and carbon monoxide (CO) emissions for the South
America 2002 burning season. Sixteen smallscale combustion
experiments were performed near the Laboratory of Radiometry
(LARAD) at the National Institute for Space Research (DSR/INPE) to
obtain the coefficient that relates the biomass consumption with
the FRP released. The fire products MOD14/MYD14 from the MODIS
Terra/Aqua platforms and the Wildfire Automated Biomass Burning
Algorithm (WFABBA) on the Geostationary Operational Environmental
Satellite (GOES) were utilized to calculate the total amount of
biomass burned. This inventory is modeled in the Coupled Chemistry
AerosolTracer Transport model coupled to the Brazilian
developments on the Regional Atmospheric Modeling System
(CCATTBRAMS) and compared with data collected in the Large Scale
BiosphereAtmosphere (LBA) Smoke, Aerosols, Clouds, rainfall, and
Climate (SMOCC) and Radiation, Cloud, and Climate Interactions
(RaCCI) Experiments. The relationship between the modeled PM2.5
and CO 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
0.05 level by student ttest), for the CCATTBRAMS simulations with
PM2.5 and CO. Furthermore, the slope analysis reveals an
underestimation of emission values with CCATTBRAMS modeled values,
2030% lower than observed data with discrepancies mainly on days
with large fires. However, the underestimation is similar to the
uncertainties in traditional emissions methods.",
doi = "10.5094/APR.2011.031",
url = "http://dx.doi.org/10.5094/APR.2011.031",
issn = "1309-1042",
label = "lattes: 1913003589198061 2 PereiraShMoFrCaLo:2011:MoThTr",
language = "pt",
targetfile = "APR-11-031.pdf",
urlaccessdate = "22 jan. 2021"
}