@InProceedings{FreitasLRPMGFL:2009:ReTiFo,
author = "Freitas, Saulo Ribeiro de and Longo, Karla Maria and Rodrigues,
Luciana Fontes Romeiro and Pirre, M. and Marecal, V. and Gan,
Marcelo Alonso and Fonseca, Rafael Mello da and Lima, Rafael
Stockler Santos",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {University of Orleans} and
{University of Orleans} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Real time forecast of tropospheric ozone and smoke aerosol
produced from vegetation fires emissions over South America",
booktitle = "Proceedings...",
year = "2009",
organization = "Symposium on Fire and Forest Meteorology, 8.",
abstract = "The high concentration of aerosol particles and trace gases
observed in the Amazon and Central Brazilian atmosphere during the
dry season is associated with intense anthropogenic biomass
burning activity (vegetation fires). In addition to aerosol
particles (PM), biomass burning produces water vapor and carbon
dioxide, and is a major source of other compounds such as carbon
monoxide (CO), volatile organic compounds, nitrogen oxides
(NOx=NO+NO2), and organic halogen compounds. In the presence of
abundant solar radiation and high concentrations of NOx, the
oxidation of CO and hydrocarbons is followed by ozone (O3)
formation. The high levels of O3 and PM induce several respiratory
problems on the affect populated areas. PM has impact on weather
modification by changing the energy budgets of the surface and
troposphere, as well as the microphysical behavior of clouds, and
consequently also their dynamics and precipitation efficiency. In
this paper we describe a real time forecast of pyrogenic products
over South America by using the Coupled Chemistry-Aerosol-Tracer
Transport model to the Brazilian developments on the Regional
Atmospheric Modeling System (CCATT-BRAMS). CCATT-BRAMS is an
on-line transport model fully consistent with the simulated
atmospheric dynamics and includes kinetic and photochemical
reactions. The sub-grid transport parameterizations include
diffusion in PBL, shallow and deep convection and plume rise for
biomass burning emissions. The atmospheric model has a complex and
state-of-art set of parameterizations to simulate
surface-atmosphere exchanges, boundary layer development, cloud
microphysics, radiative transfer, cumulus convection. Photolysis
rates can either be used from LUT or calculated on-line using
FAST-TUV which is fully coupled with the aerosol and microphysics
modules. The system may be virtually configured with any desired
chemical mechanism using a modified version of SPACK (Simplified
Preprocessor for Atmospheric Chemical Kinetics). For initial and
boundary conditions, the system is able to be nudged by large
scale atmospheric-chemistry models analysis using a Newtonian
relaxation scheme. Currently the system is able to assimilate
MOCAGE (Meteo-France global chemistry model) fields. Emissions are
prescribed through a pre-processor for anthropogenic, biogenic,
biomass burning, etc, using a set of published methodologies or
inventories. Fire emissions are updated on near real time and are
spatially and temporally distributed according to the fire counts
locations obtained by remote sensing (AVHRR, MODIS and GOES-12).
An operational system has been implemented which produces daily
72-hours numerical forecast of CO, O3, PM2.5 and NOx in addition
to traditional meteorological fields. We present and discuss some
important events of air pollution associated to vegetation fires
captured by this operational system for the burning season of
July-October 2009 over South America.",
conference-location = "Kallispel",
label = "lattes: 9873289111461387 1 FreitasLRPMAMS:2009:ReTiFo",
language = "en",
targetfile = "freitas_real.pdf",
url = "http://ams.confex.com/ams/8Fire/techprogram/paper_156343.htm",
urlaccessdate = "16 jun. 2024"
}