References
Asmi, A., et al., 2011: Number size distributions and seasonality of submicron particles in Europe 2008–2009. Atmos. Chem. Phys., 11, 5505–5538.
Ban-Weiss, G.A., L. Jin, S.E. Bauer, R. Bennartz, X. Liu, K. Zhang, Y. Ming, H. Guo, and J.H. Jiang, 2014: Evaluating clouds, aerosols, and their interactions in three global climate models using satellite simulators and observations. J. Geophys. Res. Atmos., 119, no. 18, 10876-10901, doi:10.1002/2014JD021722.
Baker, M. B., and T. Peter, 2008: Small-scale cloud processes and climate. Nature, 451, 299–300.
Bretherton, C. S., P. N. Blossey, and C. R. Jones, 2013: A large-eddy simulation of mechanisms of boundary layer cloud response to climate change. J. Adv. Model.Earth Syst., 5, 316–337.
Bony, S., G. Bellon, D. Klocke, S. Sherwood, S. Fermapin, and S. Denvil, 2013: Robust direct effect of carbon dioxide on tropical circulation and regional precipitation. Nature Geosci., 6, 447–451.
Colman, R. A., and B. J. McAvaney, 2011: On tropospheric adjustment to forcing and climate feedbacks. Clim. Dyn., 36, 1649–1658.
Donner, L, 2014: Cumulus Convection, Climate Sensitivity, and Heightened Imperatives for Physically Robust Cumulus Parameterizations in Climate Models. NCAR, 11 February 2014 (Talk).
Forster, P., et al., 2007: Changes in Atmospheric Constituents and in Radiative Forcing. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor and H. L. Miller (eds.)] Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 129–234.
Freney, E. J., K. Adachi, and P. R. Buseck, 2010: Internally mixed atmospheric aerosol particles: Hygroscopic growth and light scattering. J. Geophys. Res., 115, D19210.
Gettelman, A., et al., 2010: Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model. J. Geophys. Res., 115, D18216.
Ghan, S. J., X. Liu, R. C. Easter, R. Zaveri, P. J. Rasch, J.-H. Yoon, and B. Eaton, 2012: Toward a minimal representation of aerosols in climate models: Comparative decomposition of aerosol direct, semi-direct, and indirect radiative forcing. J. Clim., 25, 6461–6476.
Ghan, S. J., and S. E. Schwartz, 2007: Aerosol properties and processes - A path from field and laboratory measurements to global climate models. Bull. Am. Meteor. Soc., 88, 1059–1083.
Holloway, C. et al., 2014: Understanding and representing atmospheric convection across scales: recommendations from the meeting held at Dartington Hall, Devon, UK, 28–30 January 2013. Atmos. Sci. Let., 15:348-353, doi:10.1002/asl2.508
Hourdin, F., et al., 2013: LMDZ5B: The atmospheric component of the IPSL climate model with revisited parameterizations for clouds and convection. Clim. Dyn., 40, 2193–2222.
Ingram, W., 2010: A very simple model for the water vapour feedback on climate change. Q. J. R. Meteorol. Soc., 136, 30–40.
Ingram, W., 2013a: A new way of quantifying GCM water vapour feedback. Clim. Dyn., 40, 913–924.
Ingram, W., 2013b: Some implications of a new approach to the water vapour feedback. Clim. Dyn., 40, 925–933.
Johnson, B. T., K. P. Shine, and P. M. Forster, 2004: The semi-direct aerosol effect: Impact of absorbing aerosols on marine stratocumulus. Q. J. R. Meteorol. Soc., 130, 1407–1422.
Kim, D., C. Wang, A. M. L. Ekman, M. C. Barth, and P. J. Rasch, 2008: Distribution and direct radiative forcing of carbonaceous and sulfate aerosols in an interactive size-resolving aerosol–climate model. J. Geophys. Res., 113, D16309.
Kravitz, B., A. Robock, O. Boucher, H. Schmidt, K. Taylor, G. Stenchikov, and M. Schulz, 2011: The Geoengineering Model Intercomparison Project (GeoMIP). Atmos. Sci. Lett., 12, 162–167.
Kumar, P., I. N. Sokolik, and A. Nenes, 2011: Measurements of cloud condensation nuclei activity and droplet activation kinetics of fresh unprocessed regional dust samples and minerals. Atmos. Chem. Phys., 11, 3527–3541.
Liu, X., J. Penner, S. Ghan, and M. Wang, 2007: Inclusion of ice microphysics in the NCAR community atmospheric model version 3 (CAM3). J. Clim., 20, 4526–4547.
Lohmann, U., and J. Feichter, 2005: Global indirect aerosol effects: A review. Atmos. Chem. Phys., 5, 715–737.
Mann, G. W., et al., 2010: Description and evaluation of GLOMAP-mode: A modal global aerosol microphysics model for the UKCA composition-climate model. Geosci. Model Dev., 3, 519–551.
McFiggans, G., et al., 2006: The effect of physical and chemical aerosol properties on warm cloud droplet activation. Atmos. Chem. Phys., 6, 2593–2649. doi:10.5194/acp-6-2593-2006,
Meehl, G. A., R. Moss, K. E. Taylor, V. Eyring, R. J. Stouffer, S. Bony, and B. Stevens, Climate Model Intercomparison: Preparing for the Next Phase, Eos, Trans. AGU, 95(9), 77, 2014.
Morrison, H., and A. Gettelman, 2008: A new two-moment bulk stratiform cloud microphysics scheme in the community atmosphere model, version 3 (CAM3). Part I: Description and numerical tests. J. Clim., 21, 3642–3659.
Petters, M. D., and S. M. Kreidenweis, 2007: A single parameter representation of hygroscopic growth and cloud condensation nucleus activity. Atmos. Chem. Phys., 7, 1961–1971.
Rissler, J., B. Svenningsson, E. O. Fors, M. Bilde, and E. Swietlicki, 2010: An evaluation and comparison of cloud condensation nucleus activity models: Predicting particle critical saturation from growth at subsaturation. J. Geophys. Res., 115, D22208.
Rissler, J., E. Swietlicki, J. Zhou, G. Roberts, M. O. Andreae, L. V. Gatti, and P. Artaxo, 2004: Physical properties of the sub-micrometer aerosol over the Amazon rain forest during the wet-to-dry season transition—comparison of modeled and measured CCN concentrations. Atmos. Chem. Phys., 4, 2119–2143.
Rosenfeld, D. et al., 2014: Climate effects of aerosol-cloud interactions. Science, 343, 379.
Salzmann, M., et al., 2010: Two-moment bulk stratiform cloud microphysics in the GFDL AM3 GCM: Description, evaluation, and sensitivity tests. Atmos. Chem. Phys., 10, 8037–8064.
Sherwood et al., 2014: Spread in model climate sensitivity traced to atmospheric convective mixing. Nature, 505, 37, doi:10.1038/nature12829
Shonk, J. K. P., R. J. Hogan, and J. Manners, 2012: Impact of improved representation of horizontal and vertical cloud structure in a climate model. Clim. Dyn., 38, 2365–2376.
Soden, B. J., and I. M. Held, 2006: An assessment of climate feedbacks in coupled ocean-atmosphere models. J. Clim., 19, 3354–3360.
Sommeria, G., and J. W. Deardorff, 1977: Subgrid-scale condensation in models of nonprecipitating clouds. J. Atmos. Sci., 34, 344–355.
Stevens, B., et al., 2005a: Pockets of open cells and drizzle in marine stratocumulus. Bull. Am. Meteor. Soc., 86, 51–57.
Stevens, B., et al., 2005b: Evaluation of large-eddy simulations via observations of nocturnal marine stratocumulus. Mon. Weather Rev., 133, 1443–1462.
Stevens, B., and A. Seifert, 2008: Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection. J. Meteorol. Soc. Jpn., 86, 143–162.
Stevens, B., and G. Feingold, 2009: Untangling aerosol effects on clouds and precipitation in a buffered system. Nature, 461, 607–613.
Tompkins, A. M., K. Gierens, and G. Radel, 2007: Ice supersaturation in the ECMWF integrated forecast system. Q. J. R. Meteorol. Soc., 133, 53–63.
Warneck, P. (1999), Chemistry of the Natural Atmosphere, 2nd ed., p. 630, Elsevier, New York.
Watanabe, M., S. Emori, M. Satoh, and H. Miura, 2009: A PDF-based hybrid prognostic cloud scheme for general circulation models. Clim. Dyn., 33, 795–816.
Wilcox, E. M., 2010: Stratocumulus cloud thickening beneath layers of absorbing smoke aerosol. Atmos. Chem. Phys., 10, 11769–11777.
Zelinka, M. D., S. A. Klein, K. E. Taylor, T. Andrews, M. J. Webb, J. M. Gregory, and P. M. Forster, 2013: Contributions of different cloud types to feedbacks and rapid adjustments in CMIP5. J. Clim., 26, 5007–5027.
Zelinka, M. D., T. Andrews, P. M. Forster, and K. E. Taylor (2014), Quantifying components of aerosol-cloud-radiation interactions in climate models, J. Geophys. Res. Atmos., 119, 7599–7615, doi:10.1002/2014JD021710.