GEIA DATA ASSIMILATION FOR AN AIR QUALITY PHOTOCHEMICAL FORECAST APLICATION IN BRAZIL

1
GEIA DATA ASSIMILATION FOR AN AIR QUALITY
PHOTOCHEMICAL FORECAST APLICATION IN BRAZIL Lucio
Silva de Souza1,2 Luiz Landau2 Luiz Claudio Gomes
Pimentel1 1 - Federal University of Rio de
Janeiro (UFRJ), Instituto de Geociências,
Departamento de Meteorologia (IGEO/UFRJ), Rio de
Janeiro, BRASIL 2 - Coordenação dos Programas de
Pesquisa em Engenharia, Federal University of Rio
de Janeiro (COPPE/UFRJ) Rio de Janeiro, BRASIL
Poster presents a methodology to data
assimilation from GEIA basis into SMOKE model for
an application in Brazil focused on Amazonia
Region. The Goal of this study is to combine
biogenic emissions from MM5 model with GEIA
global data (1x1) GEFDV2 inventory for
anthropogenic and biomass burning emissions. This
data will be processed through smoke model to
generate the Brazilian Large Domain database to
be used in CMAQ Multiscale air quality model,
with some nesting grids.
Biogenic Emissions Obtained from MM5 model at the
TERRAIN pre-processor. This results are inserted
on MCIP to prepare the Land use categories to
SMOKE and CMAQ models. The MCIP makes the need
conversions to use the meteorology and Land use
data into the SMOKE-CMAQ. Status Done!

• - Is the Amazonia really the lung of the world
  ?
• The Amazonia Basin has an area of 6,3 mi/Km2
• Of this total 5 mi/Km2 are on Brazilian
  territory
• Remaining area belongs to Bolivia, Colombia,
  Equador and Peru
• Boundaries of Amazon are the Andes (westward),
  Central Plateus (southward), Guiana Plateaus
  (northward) and the Atlantic (eastward)
• Answer ....
• Main Meteorologial Aspects
• Convection -gt Due to Intense day heating and
  favorable Synoptic conditions regarded as the
  main force
• Squall lines -gt from N-NE sector (Atlantic
  side)
• MCC -gt Mesoscale Convective Complex, associated
  with cold fronts from S-SW Brazil
• Characteristic Amazon day -gt Intense hot days
  with an associated strong tropical rain at the
  end of the day / early Evening.

Anthropogenic Emissions Obtained from GEIA data
basis, GEFEDV2 inventory for NOx emissions
(1x1). These data were pre-processed with
GRADS, retaining the domain of interest. The data
are under processing at smoke model with
numerical inconsistency. Status Under quality
assurance!
SST averages
2005 was the most intense dry season over
Amazonia during the last 50 years Generally the
amazon 3 well defined meteorological
seasons 1st from November to march is the
raining season 2nd from may to September is the
dry season 3rd April and October are considered
as transition months between the above periods.
SST Anomalies
Biomass burning Emissions Obtained from GEIA data
basis, GEFEDV2 inventory for NOx emissions
(1x1). These data were pre-processed with
GRADS, retaining the domain of interest. The data
are under processing at smoke model with
numerical inconsistency. Status Under quality
assurance!
cptec/inpe
Satellite information Seasonal CO Distribution
4 years average (from march 2000 to February
2004) From Editorial Board ATMOSPHERIC
ENVIRONMENT (38) 2004
The GEIA data are under processing at smoke
model to generate the Brazilian Large Domain Base
Case. This is a necessary step due to the lack of
a National Emissions Inventory data to Brazil.
The biomass burning and anthropogenic data are
under a quality assurance checking for those
regions that pursue an emission inventory, such
as Rio, SP, MG, ES, RS and other states. The
nesting domain will be feeded with best land use
data from the interpolation process available at
MCIP modules. It interpolates the land use
category with the best data set available from
USGS. The finner domain will be centerd at the
Petroleum and Natural Gas Facility located in the
heart of the Amazonia Forest, and the final
result that must be informed with the system is
the contribution of the Petroleum industry to the
air pollution at that region, regarding that at
the dry season the biomass burning is of
importance with several emissions. Also we are
considering the closest cities and other actors.
Grids in use for the Amazonia on the MM5 MCIP
SMOKE CMAQ System Nested Domains for use
on the models
Universidade Federal do Rio de Janeiro Núcleo
Computacional de Qualidade do Ar