Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-541-2019
https://doi.org/10.5194/gmd-12-541-2019
Model description paper
 | 
01 Feb 2019
Model description paper |  | 01 Feb 2019

Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation

J. Christopher Kaiser, Johannes Hendricks, Mattia Righi, Patrick Jöckel, Holger Tost, Konrad Kandler, Bernadett Weinzierl, Daniel Sauer, Katharina Heimerl, Joshua P. Schwarz, Anne E. Perring, and Thomas Popp

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Cited articles

Allen, R. J. and Landuyt, W.: The vertical distribution of black carbon in CMIP5 models: Comparison to observations and the importance of convective transport, J. Geophys. Res.-Atmos., 119, 4808–4835, https://doi.org/10.1002/2014JD021595, 2014. a, b
AMEC Environment & Infrastructure, I.: Clean Air Status and Trends Network (CASTNET) 2013 Annual Report, Tech. rep., U.S. Environmental Protection Agency, Washington, DC, USA, available at: http://epa.gov/castnet/javaweb/docs/annual_report_2013.pdf (last access: 9 January 2019), 2015. a
Ames, R. B. and Malm, W. C.: Comparison of sulfate and nitrate particle mass concentrations measured by IMPROVE and the CDN, Atmos. Environ., 35, 905–916, https://doi.org/10.1016/S1352-2310(00)00369-1, 2001. a, b
Ansmann, A., Petzold, A., Kandler, K., Tegen, I., Wendisch, M., Müller, D., Weinzierl, B., Müller, T., and Heintzenberg, J.: Saharan Mineral Dust Experiments SAMUM-1 and SAMUM-2: what have we learned?, Tellus B, 63, 403–429, https://doi.org/10.1111/j.1600-0889.2011.00555.x, 2011. a
Aquila, V.: Global model studies on the distribution and composition of potential atmospheric ice nuclei, Ph.D. thesis, LMU München, Germany, available at: http://elib.dlr.de/61778/1/Aquila-diss-FINAL-20091215.pdf (last access: 9 January 2019), 2009. a
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Short summary
The implementation of the aerosol microphysics submodel MADE3 into the global atmospheric chemistry model EMAC is described and evaluated against an extensive pool of observational data, focusing on aerosol mass and number concentrations, size distributions, composition, and optical properties. EMAC (MADE3) is able to reproduce main aerosol properties reasonably well, in line with the performance of other global aerosol models.
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