@Article{LongoFrAnSePrAr:2010:MoSeBi,
author = "Longo, Karla Maria and Freitas, Saulo Ribeito de and Andreae, M.
O. and Setzer, A and Prins, e M and Artaxo, Paulo",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and Max Planck Institute
for Chemistry, Mainz, Germany and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and UW-Madison Cooperative Institute for
Meteorological Satellite Studies, Madison, WI, USA and Institute
of Physics, University of S{\~a}o Paulo, Brazil",
title = "The Coupled Aerosol and Tracer Transport model to the Brazilian
developments on the Regional Atmospheric Modeling System
(CATT-BRAMS) Part 2: Model sensitivity to the biomass burning
inventories",
journal = "Atmospheric Chemistry and Physics",
year = "2010",
volume = "10",
number = "13",
pages = "5785--5795",
keywords = "INTERANNUAL VARIABILITY, SOUTH-AMERICA, FIRE, EMISSIONS, SMOKE,
MODIS, INSTRUMENT, ALGORITHM, AMAZON, ENERGY.",
abstract = "We describe an estimation technique for biomass burning emissions
in South America based on a combination of remote-sensing fire
products and field observations, the Brazilian Biomass Burning
Emission Model (3BEM). For each fire pixel detected by remote
sensing, the mass of the emitted tracer is calculated based on
field observations of fire properties related to the type of
vegetation burning. The burnt area is estimated from the
instantaneous fire size retrieved by remote sensing, when
available, or from statistical properties of the burn scars. The
sources are then spatially and temporally distributed and
assimilated daily by the Coupled Aerosol and Tracer Transport
model to the Brazilian developments on the Regional Atmospheric
Modeling System (CATT-BRAMS) in order to perform the prognosis of
related tracer concentrations. Three other biomass burning
inventories, including GFEDv2 and EDGAR, are simultaneously used
to compare the emission strength in terms of the resultant tracer
distribution. We also assess the effect of using the daily time
resolution of fire emissions by including runs with
monthly-averaged emissions. We evaluate the performance of the
model using the different emission estimation techniques by
comparing the model results with direct measurements of carbon
monoxide both near-surface and airborne, as well as remote sensing
derived products. The model results obtained using the 3BEM
methodology of estimation introduced in this paper show relatively
good agreement with the direct measurements and MOPITT data
product, suggesting the reliability of the model at local to
regional scales.",
doi = "10.5194/acp-10-5785-2010",
url = "http://dx.doi.org/10.5194/acp-10-5785-2010",
issn = "1680-7316",
label = "lattes: 9945965136609657 1 LongoFrAnSePrAr:2010:MoSeBi",
language = "en",
targetfile = "Longo_The Coupled.pdf",
urlaccessdate = "02 maio 2024"
}