Journal Article

Seasonality of the particle number concentration and size distribution: a global analysis retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories

Villani, Paolo, Wiedensohler, Alfred, Casquero-Vera, Juan Andrés, Gini, Maria I., Metzger, Jean-Marc, Andrews, Elisabeth, Fiebig, Markus, Lin, Yong, Kalapov, Ivo, Picard, David, Lin, Neng-Huei, Hallar, Anna Gannet, Petit, Jean-Eudes, Kim, Jeong Eun, Kasper-Giebl, Anne, Baltensperger, Urs, Martins Dos Santos, Sebastiao, Weinhold, Kay, Bossert, Isaline, Tulet, Pierre, Aalto, Pasi, Sun, Junying, Tuch, Thomas, Beukes, Johan Paul, Zdimal, Vladimir, Pont, Veronique, Sorribas, Mar, Artíñano, Begoña, Flentje, Harald, Putaud, Jean-Philippe, Rose, Clémence, Sharma, Sangeeta, Andrade, Marcos, Kim, Sang-Woo, Weller, Rolf, Pichon, Jean-Marc, Reisen, Fabienne, Kulmala, Markku, Alonso-Blanco, Elisabeth, Conil, Sébastien, Ondracek, Jakub, Sheridan, Patrick, Bastian, Susanne, Bath, Olaf, Laj, Paolo, Pérez, Noemi, Petäjä, Tuukka, Pandolfi, Marco, Mayol-Bracero, Olga L., Vratolis, Stergios, Merkel, Maik, Lyamani, Hassan, Mihalopoulos, Nikolaos, Vakkari, Ville, Alastuey, Andrés, Gysel-Beer, Martin, Schwerin, Andreas, Yela, Margarita, Eleftheriadis, Konstantinos, Schauer, Gerhard, Gómez-Moreno, Francisco Javier, Arsov, Todor, K

2021

Overview

Aerosol particles are a complex component of the atmospheric system which influence climate directly by interacting with solar radiation, and indirectly by contributing to cloud formation. The variety of their sources, as well as the multiple transformations they may undergo during their transport (including wet and dry deposition), result in significant spatial and temporal variability of their properties. Documenting this variability is essential to provide a proper representation of aerosols and cloud condensation nuclei (CCN) in climate models. Using measurements conducted in 2016 or 2017 at 62 ground-based stations around the world, this study provides the most up-to-date picture of the spatial distribution of particle number concentration (Ntot) and number size distribution (PNSD, from 39 sites). A sensitivity study was first performed to assess the impact of data availability on Ntot's annual and seasonal statistics, as well as on the analysis of its diel cycle. Thresholds of 50 % and 60 % were set at the seasonal and annual scale, respectively, for the study of the corresponding statistics, and a slightly higher coverage (75 %) was required to document the diel cycle. Although some observations are common to a majority of sites, the variety of environments characterizing these stations made it possible to highlight contrasting findings, which, among other factors, seem to be significantly related to the level of anthropogenic influence. The concentrations measured at polar sites are the lowest (∼ 102 cm−3) and show a clear seasonality, which is also visible in the shape of the PNSD, while diel cycles are in general less evident, due notably to the absence of a regular day–night cycle in some seasons. In contrast, the concentrations characteristic of urban environments are the highest (∼ 103–104 cm−3) and do not show pronounced seasonal variations, whereas diel cycles tend to be very regular over the year at these stations. The remaining sites, including mountain and non-urban continental and coastal stations, do not exhibit as obvious common behaviour as polar and urban sites and display, on average, intermediate Ntot (∼ 102–103 cm−3). Particle concentrations measured at mountain sites, however, are generally lower compared to nearby lowland sites, and tend to exhibit somewhat more pronounced seasonal variations as a likely result of the strong impact of the atmospheric boundary layer (ABL) influence in connection with the topography of the sites. ABL dynamics also likely contribute to the diel cycle of Ntot observed at these stations. Based on available PNSD measurements, CCN-sized particles (considered here as either >50 nm or >100 nm) can represent from a few percent to almost all of Ntot, corresponding to seasonal medians on the order of ∼ 10 to 1000 cm−3, with seasonal patterns and a hierarchy of the site types broadly similar to those observed for Ntot. Overall, this work illustrates the importance of in situ measurements, in particular for the study of aerosol physical properties, and thus strongly supports the development of a broad global network of near surface observatories to increase and homogenize the spatial coverage of the measurements, and guarantee as well data availability and quality. The results of this study also provide a valuable, freely available and easy to use support for model comparison and validation, with the ultimate goal of contributing to improvement of the representation of aerosol–cloud interactions in models, and, therefore, of the evaluation of the impact of aerosol particles on climate.

• Publisher: Copernicus GmbH,European Geosciences Union,Copernicus Publications
• Subject: Aerosol effects / Aerosol particles / Aerosol-cloud interactions / Aerosols / Air quality monitoring stations / Analysis / Anthropogenic factors / Atmospheric aerosols / Atmospheric and Oceanic Physics / Atmospheric boundary layer / Atmospheric models / Availability / Boundary layers / Climate / Climate change / Climate models / Cloud condensation nuclei / Cloud formation / Clouds / Condensation nuclei / Cycles / Dry deposition / Earth and Related Environmental Sciences / Earth Sciences / Geovetenskap och relaterad miljövetenskap / Ground stations / Human influences / In situ measurement / Meteorologi och atmosfärsvetenskap / Meteorology / Meteorology and Atmospheric Sciences / Mountains / Natural Sciences / Naturvetenskap / Observatories / Ocean, Atmosphere / Optical properties / Particle size / Particle size distribution / Physical properties / Physics / Planetary boundary layer / Radiation / Representations / Sciences of the Universe / Seasonal variation / Seasonal variations / Seasonality / Seasons / Size distribution / Solar radiation / Spatial distribution / Statistical analysis / Statistical methods / Statistics / Temporal variability / Temporal variations / Trends / Urban areas / Urban environments / Water wells / Well data / Wet and dry deposition / Wireless telecommunications equipment