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Using OMI HCHO to test biogenic and anthropogenic emission inventories in Africa

Using OMI HCHO to test biogenic and anthropogenic emission inventories in Africa. E. A. Marais (emarais@fas.harvard.edu) D. J. Jacob, T. P. Kurosu , K. Chance, J. G. Murphy, C. Reeves, G. Mills, S. Casadio , M. P. Barkley, D. Millet, F. Paulot , J. Mao, C. Vigoroux , K. Wecht. OMI HCHO

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Using OMI HCHO to test biogenic and anthropogenic emission inventories in Africa

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  1. Using OMI HCHO to test biogenic and anthropogenic emission inventories in Africa E. A. Marais (emarais@fas.harvard.edu) D. J. Jacob, T. P. Kurosu, K. Chance, J. G. Murphy, C. Reeves, G. Mills, S. Casadio, M. P. Barkley, D. Millet, F. Paulot, J. Mao, C. Vigoroux, K. Wecht OMI HCHO 2005-2009 EOS Aura STM1-3 October, 2012 Funded by NASA/ACMAP and South African NRF

  2. Anthropogenic Traditional biofuel VOCs HCHO VOCs isoprene Biomass burning Biogenic

  3. OMI HCHO Validation Compare OMI HCHO with ground-based FTIR observations at Reunion Island Region influenced predominantly by biomass burning from southeast Africa OMI HCHO bias is small: only +18%

  4. Biogenic HCHO in Africa Marais et al., ACP, 2012 GLC2000 global landcover dataset Tropics Major isoprene emission region Filtering Scheme to Isolate Biogenic HCHO…

  5. Original OMI slant column HCHO OMI HCHO (no biomass burning) OMI HCHO (biogenic component) 2 1 3 OMI vertical column HCHO (biogenic) OMI VC HCHO (no smearing) OMI-derived isoprene emissions 5 4

  6. STEP 5: NOx-Dependent Algorithm Account for NOx-dependent yields of HCHO from isoprene OMI NO2 HCHO yield (S = HCHO/EISOP) vs column NO2 (NO2) from GEOS-Chem HCHO yields [103 s]

  7. Original OMI slant column HCHO OMI HCHO (no biomass burning) OMI HCHO (biogenic component) 2 1 3 OMI vertical column HCHO (biogenic) OMI VC HCHO (no smearing) OMI-derived isoprene emissions 5 4

  8. Anthropogenic HCHO in Nigeria Chad Niger Benin Abuja (capital) Niger Delta Lagos Cameroon

  9. Sources of anthropogenic HCHO OMI NO2 (no biomass burning) AATSR gas flare hotspots OMI anthropogenic HCHO SCIAMACHY CH4 Population Density

  10. Test anthropogenic emission inventories Model is spatially consistent with OMI HCHO, but biased low. Bias can be attributed to low anthropogenic VOC emissions Confirm that anthropogenic VOC emissions are too low using aircraft observations from AMMA Comparison is for measurements over Lagos below 1 km

  11. Conclusions and Future Work • OMI HCHO can be used to estimate isoprene emissions in regions with variable levels of NOx. • Use OMI-derived isoprene emissions to evaluate and understand the relationship between environmental variables (temperature, LAI, soil moisture, solar insolation) and isoprene. • Emission inventories underestimate anthropogenic HCHO in Nigeria • Identify trends in anthropogenic HCHO for Nigeria using long-term observations from GOME, SCIAMACHY and GOME-2 • Develop an extensive satellite-derived dataset for the African continent to evaluate air quality and climate change

  12. Thank you!

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