Articles | Volume 13, issue 17
Atmos. Chem. Phys., 13, 8879–8914, 2013
https://doi.org/10.5194/acp-13-8879-2013
Atmos. Chem. Phys., 13, 8879–8914, 2013
https://doi.org/10.5194/acp-13-8879-2013

Research article 05 Sep 2013

Research article | 05 Sep 2013

The magnitude and causes of uncertainty in global model simulations of cloud condensation nuclei

L. A. Lee et al.

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Cited articles

Ackerley, D., Highwood, E. J., Frame, D. J., and Booth, B. B. B.: Changes in the global sulfate burden due to perturbations in global CO2 concentrations, J. Climate, 20, 5421–5432, 2009.
Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F., and Shankar, U.: Modal aerosol dynamics model for Europe: development and first applications, Atmos. Environ., 32, 17, 2981–2999, 1998.
Adams, P. J. and Seinfeld, J. H.: Predicting global aerosol size distributions in general circulation models, J. Geophys. Res., 107, 4370, https://doi.org/10.1029/2001JD001010, 2002.
Alexander, B., Savarino, J., Barkov, N. I., Delmas, R. J., and Thiemens, M. H.: Climate driven changes in the oxidation pathways of atmospheric sulfur, Geophys. Res. Lett., 29, 30-1–30-4, 2002.
Alexander, B., Park, R. J., Jacob, D. J., Li, Q. B., Yantosca, R. M., Savarino, J., Lee, C. C. W., and Thiemens, M. H.: Sulfate formation in sea-salt aerosols: constraints from oxygen isotopes, J. Geophys. Res., 110, D10307, https://doi.org/10.1029/2004JD005659, 2005.