Ozone Production from Biomass Burning in the Amazon: Preliminary WRF-Chem Simulations and Comparison...
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![Page 1: Ozone Production from Biomass Burning in the Amazon: Preliminary WRF-Chem Simulations and Comparison with In-Situ Data from the CO-CLAIM Experiment M.](https://reader034.fdocuments.us/reader034/viewer/2022051621/5697bf7b1a28abf838c83473/html5/thumbnails/1.jpg)
Ozone Production from Biomass Burning in the Amazon: Preliminary WRF-Chem Simulations and Comparison
with In-Situ Data from the CO-CLAIM Experiment
M. M. Bela1, K. M. Longo2, S. R. Freitas2, P. Artaxo1
1Institute of Physics, University of São Paulo2Center for Weather Forecasting and Climate Studies
(CPTEC), National Institute for Space Research (INPE)
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Objectives
Identify Ozone Production Regimes in the Amazon
Validate/Compare WRF-Chem / CCATT-BRAMS
Test Model Sensitivity to Emissions
Improve South American Air Quality Forecasting
Context Data Emissions Simulations Conclusions
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Amazonian Biomass BurningGlobal biomass burning: 70% of BC SW direct radiative forcing [Chin 2002]
Amazon deforestation: 70% of Brazil’s CO2 emissions [INPA]
Context Data Emissions Simulations Conclusions
Wet Season
Burning Season
Source: Paulo Artaxo
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Ozone Production and Transport
Context Data Emissions Simulations ConclusionsSource: Saulo Freitas
Nox + VOCs + H2O + T -> O3
Vertical transport by deep convectionLongitudinal transport by high-level winds
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Ozone Production and Transport
Context Data Emissions Simulations Conclusions
Dry deposition of ozone (1.e-3 kg/m^2)(Accum. 2 months 00Z30SEP2002)
Source: Karla Longo
Precursors emission area
Downwind formation
and deposition
São Paulo
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CO-CLAIM Experiment
Southern Amazon burning season
10-21 October 2007
Ozone measurements (1s) on 8 flights
Context Data Emissions Simulations Conclusions
Manaus
Alta Floresta
..
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Ozone Data
Context Data Emissions Simulations Conclusions
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Model SetupWRF-Chem 3.0.140km, 136x168, 1-23 Oct. 2007Timestep: 200s (met),
600s (chem)ICs/BCs: ECMWF (met),
idealized profile (chem)Chemistry: RACM-GOCARTRadiation: RRTM (longwave),
Goddard (shortwave)Land-Surface Model: Noah Microphysics: 5-class mixed-phaseCumulus: Grell-Devenyi ensemble
Context Data Emissions Simulations Conclusions
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Emissions Data
Fire pixels from remote sensing fire products (GOES-8 WF_ABBA, INPE_AVHRR, MODIS) weighted by vegetation type burning emissions factors [Longo and Freitas, 2006].
Context Data Emissions Simulations Conclusions
CO Emissions [mol/km^2-hr]
10km
dom
ain
Fire Product (DSA, ABBA)
40km
dom
ain
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Model Results
Context Data Emissions Simulations Conclusions
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Future Work
Context Data Emissions Simulations Conclusions
Improve Model Initial and Boundary ConditionsLand-Surface: High-Resolution Land Data Assimilation
Chemistry: Global Model
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More Future Work
Model Validation with Meteorological Data10km / 1km two-way nesting
Comparisons with CCATT-BRAMSClean Case: LBA-BARCA (November 2008)
Context Data Emissions Simulations Conclusions
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Obrigada!Fulbright Commission BrazilSteven Peckham,
Georg Grell (NOAA/FSL)Rafael Mello, Rafael Stockler
Marcelo Alonso (CPTEC-INPE)Maria da Fatima Andrade, Marcio Gledson, Pedro
Pais Lopes (IAG-USP)