What do we learn from long-term cloud condensation nuclei number concentration, particle number size distribution, and chemical composition measurements at regionally representative observatories?

• Main Authors: Bas Henzing, Roman Fröhlich, Ulrich Pöschl, Pasi Aalto, Minsu Park, Joel Brito, Urs Baltensperger, Hartmut Herrmann, Erik Herrmann, Mikael Ehn, Arnoud Frumau, Rupert Holzinger, Meintrat O. Andreae, Martin Gysel, Atsushi Matsuki, Nikolaos Mihalopoulos, Nikos Kalivitis, Tuukka Petäjä, Erik Swietlicki, Adam Kristensson, Laurent Poulain, Göran Frank, John A. Ogren, Alfred Wiedensohler, Frank Stratmann, Samara Carbone, David Picard, Gerard Kos, Mira L. Pöhlker, André S. H. Prévôt, Julia Schmale, Paulo Artaxo, Aikaterini Bougiatioti, Christopher Pöhlker, Mikhail Paramonov, Helmi Keskinen, Colin D. O'Dowd, Nicolas Bukowiecki, Seong Soo Yum, Jurgita Ovadnevaite, Iasonas Stavroulas, Markku Kulmala, Anne Jefferson, Karine Sellegri, Mikko Äijälä, Stefano Decesari, Silvia Henning, Athanasios Nenes, Yoko Iwamoto, Patrick Schlag
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: 2017
• Subjects: Research and Innovation action; Netherlands; EC; European Commission; Knowmad Institut; H2020; Mace; Noto; Barrow; Alaska
• Online Access: https://www.openaccessrepository.it/record/131003; https://doi.org/10.5194/acp-2017-798

Abstract. Aerosol-cloud interactions (ACI) constitute the single largest uncertainty in anthropogenic radiative forcing. To reduce the uncertainties and gain more confidence in the simulation of ACI, models need to be evaluated against observations, in particular against measurements of cloud condensation nuclei (CCN). Numerous observations of CCN number concentration exist, and many closure studies have been performed to predict CCN number concentrations based on particle number size distributions, chemical composition, and the κ-Köhler theory. Most of these studies provide details for short time periods or focus on special environmental conditions. These observations, however, cannot address questions of large-scale temporal and spatial CCN variability. Here we analyze long-term observations of CCN number concentrations, particle number size distributions and chemical composition from twelve sites on three continents. Eight of these stations are part of the European Aerosols, Clouds, and Trace gases Research InfraStructure (ACTRIS). We group the observatories into categories according to their official classification: coastal background (Barrow, Alaska; Mace Head, Ireland; Finokalia, Crete; Noto Peninsula, Japan), rural background (Melpitz, Germany; Cabauw, the Netherlands; Vavihill, Sweden), alpine sites (Puy de Dôme, France; Jungfraujoch, Switzerland), remote forest sites (ATTO, Brazil; SMEAR, Finland) and the urban environment (Seoul, South Korea). Expectedly, CCN characteristics are highly variable across regions. However, they also vary within categories, most strongly in the coastal background group, where CCN number concentrations can vary by up to a factor of 30 within one season. In terms of particle activation behavior, most continental stations exhibit very similar relative activation ratios across the range of 0.1 to 1.0 % supersaturation. At the coastal sites the activation ratios spread more widely across the SS spectrum. Several stations show strong seasonal cycles of CCN number concentrations ...