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continental source of ice-nucleating particles at the tip of Chile’s southernmost Patagonia region, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-71 , in review, 2022. Cheng, Z., M. Morgenstern, B. Zhang, M. Fraund, N. N. Lata, R. Brimberry, M. A. Marcus, L. Mazzoleni, P. Fialho, S. Henning , B. Wehner , C. Mazzoleni, and S. China (2022), Particles' phase state variability in the [...] H. Wex, J. Voigtlander, K. W. Fomba, K. Weinhold, M. van Pinxteren, S. Henning , T. Muller, H. Herrmann, and F. Stratmann (2020), Characterization of aerosol particles at Cabo Verde close to sea level and at the cloud level - Part 1: Particle number size distribution, cloud condensation nuclei and their origins, Atmospheric Chemistry and Physics, 20(3), 1431-1449, doi:10.5194/acp-20-1431-2020. Regayre [...] doi:10.1175/bams-d-18-0187.1. Kecorius, S., et al. (2019), New particle formation and its effect on CCN abundance in the summer Arctic: a case study during PS106 cruise, Atmos. Chem. Phys. Discuss., 2019, 1-41, doi:10.5194/acp-2019-600. 2018 Schmale, J., et al. (2018), Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at

Messungen in einem Messcontainer integriert: Partikelanzahlgrößenverteilung mit dem SMPS (Scanning Mobility Particle Sizer) und dem APS (Aerodynamic Particle Sizer) Optische Eigenschaften: spektraler Streukoeffizient mit dem integrierenden Nephelometer, Absorptionskoeffizient mit dem PSAP (Particle Soot Absorption Photometer) und mit dem MAAP (Multi Angle Absorption Photometer) Hygroskopisches Partikelwachstum

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gehören: Aerodynamic Particle Sizer (APS, TSI 3321) Mobility Particle Size Spectrometer (MPSS, TROPOS) Condensation Particle Counter (CPC, TSI 3750) Nephelometer (AECOM Aurora 4000) Aethalometer (Aerosol Magee Scientific AE33) Cloud Condensation Nuclei Counter (CCNc, DMT CCN-100) Low-Volume-Sampler (LVS, Digitel) Cloud-Droplet Probe (CDP, at balloon, DMT CDP-2) Scanning Mobility Particle Sizer (SMPS) /

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Das numerische Strömungsmechanik Modell (CFD-Code) FLUENT (Ansys Inc., Canonsburg, PA,USA), zusammen mit dem dynamischen Partikelmodel FPM (Fine Particle Model, ParticleDynamics GmbH, Leipzig) wird dazu verwendet, die gekoppelten Prozesse derStrömungsmechanik, Energie/Massentransfer und Partikel/Tropfendynamik in verschiedenenkleinskaligen zu beschreiben. Dabei löst das kommerziell erhältliche FLUENT [...] software FLUENT with the fine particle model FPM , J. Phys. Chem A, 110(45), 12448-12455, doi: 10.1021/jp064604m, 2006. D. Niedermeier, S. Hartmann, R. A. Shaw, D. Covert, T. F. Mentel, J. Schneider, L. Poulain, P. Reitz, C. Spindler, T. Clauss, A. Kiselev, E. Hallbauer, H. Wex, K. Mildenberger, F. Stratmann, Heterogeneous freezing of droplets with immersed mineral dust particles - measurements and para [...] simulations of cloud droplet formation under realistic supersaturation conditions , J. Atmos. Oceanic Technol., 21 (6), 876-887, 2004. F. Stratmann , E. Herrmann, T. Petaja, M. Kulmala: Modelling Ag-particle activation and growth in a TSI WCPC model 3785 , Atmos. Meas. Tech., 3(1), 293-281, 2010. J. Voigtländer , F. Stratmann, D. Niedermeier, H. Wex, A. Kiselev: Mass accommodation coefficient of water: