Articles | Volume 7, issue 12
https://doi.org/10.5194/amt-7-4133-2014
https://doi.org/10.5194/amt-7-4133-2014
Research article
 | 
03 Dec 2014
Research article |  | 03 Dec 2014

An improved glyoxal retrieval from OMI measurements

L. M. A. Alvarado, A. Richter, M. Vrekoussis, F. Wittrock, A. Hilboll, S. F. Schreier, and J. P. Burrows

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Cited articles

Acarreta, J. R., De Haan, J. F., and Stammes, P.: Cloud pressure retrieval using the O2-O2 absorption band at 477 nm, J. Geophys. Res.-Atmos., 109, D05204, https://doi.org/10.1029/2003JD003915, 2004.
Andreae, M. O. and Merlet, P.: Emission of trace gases and aerosols from biomass burning, Global Biogeochem. Cy., 15, 955–966, https://doi.org/10.1029/2000GB001382, 2001.
Atkinson, R.: Atmospheric chemistry of VOCs and NOx, Atmos. Environ., 34, 2063–2101, https://doi.org/10.1016/S1352-2310(99)00460-4, 2000.
Atkinson, R. and Arey, J.: Gas-phase tropospheric chemistry of biogenic volatile organic compounds: a review, Atmos. Environ., 37, Supplement 2, 197–219, https://doi.org/10.1016/S1352-2310(03)00391-1, 2003.
Boersma, K. F., Eskes, H. J., and Brinksma, E. J.: Error analysis for tropospheric NO2 retrieval from space, J. Geophys. Res., 109, D04311, https://doi.org/10.1029/2003JD003962, 2004.
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Short summary
An improved glyoxal retrieval for OMI measurements using the DOAS method has been developed. The retrieval is based on sensitivity tests for the selection of most appropriate retrieval parameters. Also, corrections for reduction of interferences with other species have been applied. In addition, the link between pyrogenic emissions and glyoxal over regions with large wildfires have been investigated, and showed that fires are an important source of glyoxal.