Ozone Production from Biomass Burning in the Amazon: Preliminary WRF-Chem Simulations and Comparison with In-Situ Data from the CO-CLAIM Experiment M.

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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. Bela 1, K. M. Longo 2, S. R. Freitas 2, P. Artaxo 1 1 Institute of Physics, University of São Paulo 2 Center for Weather Forecasting and Climate Studies (CPTEC), National Institute for Space Research (INPE)

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

Amazonian Biomass Burning Global biomass burning: 70% of BC SW direct radiative forcing [Chin 2002] Amazon deforestation: 70% of Brazil’s CO 2 emissions [INPA] Context Data Emissions Simulations Conclusions Wet Season Burning Season Source: Paulo Artaxo

Ozone Production and Transport Context Data Emissions Simulations Conclusions Source: Saulo Freitas São Paul o No x + VOCs + H 2 O + T -> O 3 Vertical transport by deep convection Longitudinal transport by high-level winds

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

CO-CLAIM Experiment Southern Amazon burning season October 2007 Ozone measurements (1s) on 8 flights Context Data Emissions Simulations Conclusions Manaus Alta Floresta..

Ozone Data Context Data Emissions Simulations Conclusions

Model Setup WRF-Chem km, 136x168, 1-23 Oct Timestep: 200s (met), 600s (chem) ICs/BCs: ECMWF (met), idealized profile (chem) Chemistry: RACM-GOCART Radiation: RRTM (longwave), Goddard (shortwave) Land-Surface Model: Noah Microphysics: 5-class mixed-phase Cumulus: Grell-Devenyi ensemble Context Data Emissions Simulations Conclusions

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 domain Fire Product (DSA, ABBA) 40km domain

Model Results Context Data Emissions Simulations Conclusions

Future Work Context Data Emissions Simulations Conclusions Improve Model Initial and Boundary Conditions Land-Surface: High-Resolution Land Data Assimilation Chemistry: Global Model

More Future Work Model Validation with Meteorological Data 10km / 1km two-way nesting Comparisons with CCATT-BRAMS Clean Case: LBA-BARCA (November 2008) Context Data Emissions Simulations Conclusions

Obrigada! Fulbright Commission Brazil Steven Peckham, Georg Grell (NOAA/FSL) Rafael Mello, Rafael Stockler Marcelo Alonso (CPTEC-INPE) Maria da Fatima Andrade, Marcio Gledson, Pedro Pais Lopes (IAG-USP)