Articles | Volume 11, issue 4
Geosci. Model Dev., 11, 1443–1465, 2018
Geosci. Model Dev., 11, 1443–1465, 2018

Development and technical paper 16 Apr 2018

Development and technical paper | 16 Apr 2018

The impact of precipitation evaporation on the atmospheric aerosol distribution in EC-Earth v3.2.0

Marco de Bruine et al.

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Cited articles

Aan de Brugh, J. M. J., Schaap, M., Vignati, E., Dentener, F., Kahnert, M., Sofiev, M., Huijnen, V., and Krol, M. C.: The European aerosol budget in 2006, Atmos. Chem. Phys., 11, 1117–1139,, 2011.
Barth, M. C., Hegg, D. A., and Hobbs, P. V.: Numerical modeling of cloud and precipitation chemistry associated with two rainbands and some comparisons with observations, J. Geophys. Res.-Atmos., 97, 5825–5845,, 1992.
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, chap. 7, Cambridge University Press, Cambridge, UK, New York, NY, USA, 571–658,, 2013.
Bourgeois, Q. and Bey, I.: Pollution transport efficiency toward the Arctic: Sensitivity to aerosol scavenging and source regions, J. Geophys. Res.-Atmos., 116, D08213,, 2011.
Chin, M., Rood, R. B., Lin, S.-J., Müller, J.-F., and Thompson, A. M.: Atmospheric sulfur cycle simulated in the global model GOCART: Model description and global properties, J. Geophys. Res.-Atmos., 105, 24671–24687,, 2000.
Short summary
Precipitation evaporation (PE) and subsequent aerosol resuspension (AR) are currently ignored or implemented only crudely in GCMs. This research introduces PE to Earth system model EC-Earth and explores ways to treat AR and the impact on global aerosol burden. Simple 1:1 scaling of AR with PE leads to an increase (+8 to 15.9 %). Taking into account raindrop size distribution and/or accounting for in-rain aerosol processing decreases aerosol burden -1.5 to 6.2 % and -10 to -11 %, respectively.