Articles | Volume 9, issue 11
Atmos. Meas. Tech., 9, 5655–5675, 2016
https://doi.org/10.5194/amt-9-5655-2016
Atmos. Meas. Tech., 9, 5655–5675, 2016
https://doi.org/10.5194/amt-9-5655-2016

Research article 28 Nov 2016

Research article | 28 Nov 2016

Parameterization retrieval of trace gas volume mixing ratios from Airborne MAX-DOAS

Barbara Dix et al.

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Cited articles

Baidar, S., Volkamer, R., Alvarez, R., Brewer, A., Davies, F., Langford, A., Oetjen, H., Pearson, G., Senff, C., and Hardesty, R. M.: Combining Active and Passive Airborne Remote Sensing to Quantify NO2 and Ox Production near Bakersfield, CA, Br. J. Environ. Clim. Chang., 3, 566–586, https://doi.org/10.9734/BJECC/2013/5740, 2013a.
Baidar, S., Oetjen, H., Coburn, S., Dix, B., Ortega, I., Sinreich, R., and Volkamer, R.: The CU Airborne MAX-DOAS instrument: vertical profiling of aerosol extinction and trace gases, Atmos. Meas. Tech., 6, 719–739, https://doi.org/10.5194/amt-6-719-2013, 2013b.
Baidar, S., Hardesty, R. M., Kim, S.-W., Langford, A. O., Oetjen, H., Senff, C., Trainer, M., and Volkamer, R.: Weakening of the Weekend Ozone Effect over California's South Coast Air Basin, Geophys. Res. Lett., 42, 9457–9464, https://doi.org/10.1002/2015GL066419, 2015.
Bruns, M., Buehler, S. A., Burrows, J. P., Richter, A., Rozanov, A., Wang, P., Heue, K. P., Platt, U., Pundt, I., and Wagner, T.: NO2 Profile retrieval using airborne multi axis UV-visible skylight absorption measurements over central Europe, Atmos. Chem. Phys., 6, 3049–3058, https://doi.org/10.5194/acp-6-3049-2006, 2006.
Coburn, S., Dix, B., Edgerton, E., Holmes, C. D., Kinnison, D., Liang, Q., ter Schure, A., Wang, S., and Volkamer, R.: Mercury oxidation from bromine chemistry in the free troposphere over the southeastern US, Atmos. Chem. Phys., 16, 3743–3760, https://doi.org/10.5194/acp-16-3743-2016, 2016.
Short summary
We present a parameterization method for the conversion of measured trace gas slant column densities into volume mixing ratios along a flight track. Benefits of this method are that it is computationally fast and almost no information on local atmospheric conditions is needed. Application to simulated data and field data show that the method is accurate within 10–15 % and valid for a wide range of atmospheric conditions. Our method can easily be transferred to other trace gases.