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Using OMI HCHO to test biogenic and anthropogenic emission inventories in Africa OMI HCHO 2005-2009 EOS Aura STM 1-3 October, 2012 E. A. Marais

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Presentation on theme: "Using OMI HCHO to test biogenic and anthropogenic emission inventories in Africa OMI HCHO 2005-2009 EOS Aura STM 1-3 October, 2012 E. A. Marais"— Presentation transcript:

1 Using OMI HCHO to test biogenic and anthropogenic emission inventories in Africa OMI HCHO 2005-2009 EOS Aura STM 1-3 October, 2012 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 Funded by NASA/ACMAP and South African NRF

2 HCHO Biomass burning Biogenic isoprene VOCs Anthropogenic Traditional biofuel VOCs

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

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

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

6 STEP 5: NO x -Dependent Algorithm HCHO yield (S =  HCHO /  E ISOP ) vs column NO 2 (  NO2 ) from GEOS-Chem OMI NO 2 HCHO yields [10 3 s] Account for NO x -dependent yields of HCHO from isoprene

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

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

9 AATSR gas flare hotspots SCIAMACHY CH 4 OMI anthropogenic HCHO OMI NO 2 (no biomass burning) Sources of anthropogenic HCHO 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 OMI HCHO can be used to estimate isoprene emissions in regions with variable levels of NO x. 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 Conclusions and Future Work

12 Thank you!

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