1 / 13

M. M. Bela 1 , K. M. Longo 2 , S. R. Freitas 2 , P. Artaxo 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. M. Bela 1 , K. M. Longo 2 , S. R. Freitas 2 , P. Artaxo 1 1 Institute of Physics, University of S ã o Paulo

arne
Download Presentation

M. M. Bela 1 , K. M. Longo 2 , S. R. Freitas 2 , P. Artaxo 1

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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. M. Bela1, K. M. Longo2, S. R. Freitas2, P. Artaxo1 1Institute of Physics, University of São Paulo 2Center for Weather Forecasting and Climate Studies (CPTEC), National Institute for Space Research (INPE)

  2. 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

  3. Amazonian Biomass Burning Global biomass burning: 70% of BC SW direct radiative forcing [Chin 2002] Amazon deforestation: 70% of Brazil’s CO2 emissions [INPA] Wet Season Burning Season Source: Paulo Artaxo Context Data Emissions Simulations Conclusions

  4. Ozone Production and Transport Nox + VOCs + H2O + T -> O3 Vertical transport by deep convection Longitudinal transport by high-level winds São Paulo Source: Saulo Freitas Context Data Emissions Simulations Conclusions

  5. Ozone Production and Transport Dry deposition of ozone (1.e-3 kg/m^2)(Accum. 2 months 00Z30SEP2002) Precursors emission area Downwind formation and deposition São Paulo Source: Karla Longo Context Data Emissions Simulations Conclusions

  6. CO-CLAIM Experiment . Manaus Southern Amazon burning season 10-21 October 2007 Ozone measurements (1s) on 8 flights Alta Floresta . Context Data Emissions Simulations Conclusions

  7. Ozone Data Context Data Emissions Simulations Conclusions

  8. Model Setup WRF-Chem 3.0.1 40km, 136x168, 1-23 Oct. 2007 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

  9. Emissions Data Fire Product (DSA, ABBA) CO Emissions [mol/km^2-hr] 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]. 40km domain 10km domain Context Data Emissions Simulations Conclusions

  10. Model Results Context Data Emissions Simulations Conclusions

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

  12. 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

  13. 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)

More Related