Size-resolved chemical composition, mixing state, and cloud condensation nucleus (CCN) activity of aerosol particles in polluted mega-city air and biomass burning smoke were measured during the PRIDE-PRD2006 cam-paign near Guangzhou, China, using an aerosol mass spec-trometer (AMS), a volatility tandem differential mobility analyzer (VTDMA), and a continuous-flow CCN counter (DMT-CCNC). The size-dependence and temporal variations of the effec-tive average hygroscopicity parameter for CCN-active par-ticles (κ a) could be parameterized as a function of organic and inorganic mass fractions (f org , f inorg) determined by the AMS: κ a,p =κ org · f org + κ inorg · f inorg . The characteristic κ values of organic and inorganic components were similar to those observed in other continental regions of the world: κ org ≈0.1 and κ inorg ≈0.6. The campaign average κ a values increased with particle size from ∼0.25 at ∼50 nm to ∼0.4 at ∼200 nm, while f org decreased with particle size. At ∼50 nm, f org was on average 60% and increased to almost 100% during a biomass burning event. The VTDMA results and complementary aerosol optical data suggest that the large fractions of CCN-inactive particles observed at low supersaturations (up to 60% at S≤0.27%) were externally mixed weakly CCN-active soot particles with low volatility (diameter reduction <5% at 300 • C) and Correspondence to: D. Rose (d.rose@mpic.de) effective hygroscopicity parameters around κ LV ≈0.01. A proxy for the effective average hygroscopicity of the total ensemble of CCN-active particles including weakly CCN-active particles (κ t) could be parameterized as a function of κ a,p and the number fraction of low volatility particles deter-mined by VTDMA (φ LV): κ t,p =κ a,p −φ LV · (κ a,p −κ LV). Based on κ values derived from AMS and VTDMA data, the observed CCN number concentrations (N CCN,S ≈10 2 – 10 4 cm −3 at S = 0.068–0.47%) could be efficiently predicted from the measured particle number size distribution. The mean relative deviations between observed and predicted CCN concentrations were ∼10% when using κ t,p , and they increased to ∼20% when using only κ a,p . The mean rela-tive deviations were not higher (∼20%) when using an ap-proximate continental average value of κ≈0.3, although the constant κ value cannot account for the observed temporal variations in particle composition and mixing state (diurnal cycles and biomass burning events). Overall, the results confirm that on a global and climate modeling scale an average value of κ≈0.3 can be used for approximate predictions of CCN number concentrations in continental boundary layer air when aerosol size distribu-tion data are available without information about chemical composition. Bulk or size-resolved data on aerosol chemi-cal composition enable improved CCN predictions resolving regional and temporal variations, but the composition data need to be highly accurate and complemented by information about particle mixing state to achieve high precision (relative deviations <20%).