Karydis, V. A.Kumar, P.Barahona, D.Sokolik, I. N.Nenes, Athanasios2018-10-152018-10-152018-10-15201110.1029/2011JD016283https://infoscience.epfl.ch/handle/20.500.14299/149015Aerosol-cloud interaction studies to date consider aerosol with a substantial fraction of soluble material as the sole source of cloud condensation nuclei (CCN). Emerging evidence suggests that mineral dust can act as good CCN through water adsorption onto the surface of particles. This study provides a first assessment of the contribution of insoluble dust to global CCN and cloud droplet number concentration (CDNC). Simulations are carried out with the NASA Global Modeling Initiative chemical transport model with an online aerosol simulation, considering emissions from fossil fuel, biomass burning, marine, and dust sources. CDNC is calculated online and explicitly considers the competition of soluble and insoluble CCN for water vapor. The predicted annual average contribution of insoluble mineral dust to CCN and CDNC in cloud-forming areas is up to 40 and 23.8%, respectively. Sensitivity tests suggest that uncertainties in dust size distribution and water adsorption parameters modulate the contribution of mineral dust to CDNC by 23 and 56%, respectively. Coating of dust by hygroscopic salts during the atmospheric aging causes a twofold enhancement of the dust contribution to CCN; the aged dust, however, can substantially deplete in-cloud supersaturation during the initial stages of cloud formation and can eventually reduce CDNC. Considering the hydrophilicity from adsorption and hygroscopicity from solute is required to comprehensively capture the dust-warm cloud interactions. The framework presented here addresses this need and can be easily integrated in atmospheric models. Copyright 2011 by the American Geophysical Union.AdsorptionAtmospheric aerosolsAtmospheric chemistryAtmospheric movementsComputer simulationCondensationDewateringDriers (materials)DropsFossil fuelsNASASilicate mineralsWater vaporAerosol simulationAerosol-cloud interactionAnnual averageAtmospheric modelBiomass-burningChemical transport modelsCloud condensation nucleiCloud droplet numberCloud formationDust particleDust size distributionDust sourcesGlobal cloudsGlobal modelingHygroscopic saltsInitial stagesMineral dustSensitivity testsSoluble materialsWater adsorptionDustadsorptionassessment methodatmospheric modelingcloud condensation nucleusdropletdustfossil fuelhygroscopicitymineralnumerical modelsensitivity analysissolutetext::journal::journal article::research article