Articles | Volume 17, issue 5
Atmos. Chem. Phys., 17, 3423–3444, 2017
https://doi.org/10.5194/acp-17-3423-2017
Atmos. Chem. Phys., 17, 3423–3444, 2017
https://doi.org/10.5194/acp-17-3423-2017

Research article 09 Mar 2017

Research article | 09 Mar 2017

How much information do extinction and backscattering measurements contain about the chemical composition of atmospheric aerosol?

Michael Kahnert and Emma Andersson

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Cited articles

Andersson, C., Langner, J., and Bergström, R.: Interannual variation and trends in air pollution over Europe due to climate variability during 1958–2001 simulated with a regional CTM coupled to the ERA40 reanalysis, Tellus B, 59, 77–98, 2007.
Andersson, C., Bergström, R., Bennet, C., Robertson, L., Thomas, M., Korhonen, H., Lehtinen, K. E. J., and Kokkola, H.: MATCH-SALSA – Multi-scale Atmospheric Transport and CHemistry model coupled to the SALSA aerosol microphysics model – Part 1: Model description and evaluation, Geosci. Model Dev., 8, 171–189, https://doi.org/10.5194/gmd-8-171-2015, 2015.
Andersson, E. and Kahnert, M.: Coupling aerosol optics to the MATCH (v5.5.0) chemical transport model and the SALSA (v1) aerosol microphysics module, Geosci. Model Dev., 9, 1803–1826, https://doi.org/10.5194/gmd-9-1803-2016, 2016.
Benedetti, A., Morcrette, M. J.-J., Boucher, O., Dethof, A., Engelen, R. J., Huneeus, M. F. H. F. N., Jones, L. S., Kinne, J. W. K., Mangold, A., Razinger, M., Simmons, A. J., and Suttie, M.: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation, J. Geophys. Res., 114, D13205, https://doi.org/10.1029/2008JD011115, 2009.
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This paper reports a systematic assessment of the information content of remote sensing measurements with regard to the chemical composition of aerosols. The focus is on ground-based, airborne, or space-borne lidar observations. The results are exploited in an air-quality forecasting model by incorporating measurements into the model in such a way that one maximises the use of available information. The goal of this work is to improve air-quality forecasting for suspended particulate matter.
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