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

Author:

Rose ClémenceORCID,Collaud Coen Martine,Andrews ElisabethORCID,Lin YongORCID,Bossert Isaline,Lund Myhre CathrineORCID,Tuch Thomas,Wiedensohler AlfredORCID,Fiebig MarkusORCID,Aalto Pasi,Alastuey AndrésORCID,Alonso-Blanco Elisabeth,Andrade MarcosORCID,Artíñano Begoña,Arsov Todor,Baltensperger Urs,Bastian Susanne,Bath Olaf,Beukes Johan Paul,Brem Benjamin T.ORCID,Bukowiecki NicolasORCID,Casquero-Vera Juan AndrésORCID,Conil Sébastien,Eleftheriadis KonstantinosORCID,Favez Olivier,Flentje Harald,Gini Maria I.,Gómez-Moreno Francisco Javier,Gysel-Beer MartinORCID,Hallar Anna Gannet,Kalapov Ivo,Kalivitis NikosORCID,Kasper-Giebl Anne,Keywood MelitaORCID,Kim Jeong Eun,Kim Sang-WooORCID,Kristensson Adam,Kulmala MarkkuORCID,Lihavainen HeikkiORCID,Lin Neng-Huei,Lyamani HassanORCID,Marinoni AngelaORCID,Martins Dos Santos SebastiaoORCID,Mayol-Bracero Olga L.ORCID,Meinhardt Frank,Merkel Maik,Metzger Jean-Marc,Mihalopoulos Nikolaos,Ondracek Jakub,Pandolfi Marco,Pérez Noemi,Petäjä TuukkaORCID,Petit Jean-EudesORCID,Picard David,Pichon Jean-Marc,Pont Veronique,Putaud Jean-Philippe,Reisen Fabienne,Sellegri Karine,Sharma Sangeeta,Schauer Gerhard,Sheridan Patrick,Sherman James Patrick,Schwerin Andreas,Sohmer Ralf,Sorribas MarORCID,Sun Junying,Tulet Pierre,Vakkari Ville,van Zyl Pieter GideonORCID,Velarde Fernando,Villani Paolo,Vratolis Stergios,Wagner Zdenek,Wang Sheng-HsiangORCID,Weinhold Kay,Weller RolfORCID,Yela Margarita,Zdimal Vladimir,Laj Paolo

Abstract

Abstract. 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.

Funder

Horizon 2020

Korea Meteorological Administration

National Research Foundation of Korea

Chinese Academy of Meteorological Sciences

Publisher

Copernicus GmbH

Subject

Atmospheric Science

Reference70 articles.

1. Abbatt, J. P. D., Leaitch, W. R., Aliabadi, A. A., Bertram, A. K., Blanchet, J.-P., Boivin-Rioux, A., Bozem, H., Burkart, J., Chang, R. Y. W., Charette, J., Chaubey, J. P., Christensen, R. J., Cirisan, A., Collins, D. B., Croft, B., Dionne, J., Evans, G. J., Fletcher, C. G., Galí, M., Ghahremaninezhad, R., Girard, E., Gong, W., Gosselin, M., Gourdal, M., Hanna, S. J., Hayashida, H., Herber, A. B., Hesaraki, S., Hoor, P., Huang, L., Hussherr, R., Irish, V. E., Keita, S. A., Kodros, J. K., Köllner, F., Kolonjari, F., Kunkel, D., Ladino, L. A., Law, K., Levasseur, M., Libois, Q., Liggio, J., Lizotte, M., Macdonald, K. M., Mahmood, R., Martin, R. V., Mason, R. H., Miller, L. A., Moravek, A., Mortenson, E., Mungall, E. L., Murphy, J. G., Namazi, M., Norman, A.-L., O'Neill, N. T., Pierce, J. R., Russell, L. M., Schneider, J., Schulz, H., Sharma, S., Si, M., Staebler, R. M., Steiner, N. S., Thomas, J. L., von Salzen, K., Wentzell, J. J. B., Willis, M. D., Wentworth, G. R., Xu, J.-W., and Yakobi-Hancock, J. D.: Overview paper: New insights into aerosol and climate in the Arctic, Atmos. Chem. Phys., 19, 2527–2560, https://doi.org/10.5194/acp-19-2527-2019, 2019.

2. Al-Dabbous, A. N. and Kumar, P.: Source apportionment of airborne nanoparticles in a Middle Eastern city using positive matrix factorization, Environ. Sci., 17, 802–812, https://doi.org/10.1039/C5EM00027K, 2015.

3. Alonso-Blanco, E., Gómez-Moreno, F., Artíñano, B., Iglesias-Samitier, S., Juncal-Bello, V., Piñeiro-Iglesias, M., López-Mahía, P., Pérez, N., Brines, M., and Alastuey, A.: Temporal and spatial variability of atmospheric particle number size distributions across Spain, Atmos. Environ. 190, 146–160, https://doi.org/10.1016/j.atmosenv.2018.06.046, 2018.

4. Andrews, E., Ogren, J. A., Bonasoni, P., Marinoni, A., Cuevas, E., Rodríguez, S., Sun, J. Y., Jaffe, D. A., Fischer, E. V., Baltensperger, U., Weingartner, E., Collaud Coen, M., Sharma, S., Macdonald, A. M., Leaitch, W. R., Lin, N.-H., Laj, P., Arsov, T., Kalapov, I., Jefferson, A., and Sheridan, P.: Climatology of aerosol radiative properties in the free troposphere, Atmos. Res., 102, 365–393, https://doi.org/10.1016/j.atmosres.2011.08.017, 2011.

5. Andrews, E., Sheridan, P., Ogren, J.A., Hageman, D., Jefferson, A., Wendell, J., Alastuey, A., Alados-Arboledas, L., Bergin, M., Ealo, M., Hallar, A.G., Hoffer, A., Kalapov, I., Keywood, M., Kim, J., Kim, S.-W., Kolonjari, F., Labuschagne, C., Lin, N.-H., Macdonald, A., Mayol-Bracero, O.L., McCubbin, I.B., Pandolfi, M., Reisen, F., Sharma, S., Sherman, J. P., Sorribas, M., and Sun, J.: Overview of the NOAA/ESRL Federated Aerosol Network, Bull. Am. Meteorol. Soc., 100, 123–135, 2019.

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3