1. A global analysis of climate-relevant aerosol properties retrieved from the network of GAW near-surface observatories
- Author
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Olivier Favez, Jean-Marc Pichon, Sébastien Conil, Frank Meinhardt, David Picard, Mar Sorribas, Prodromos Fetfatzis, Kay Weinhold, Angela Marinoni, John A. Ogren, Pasi Aalto, Elisabeth Andrews, Andrés Alastuey, Krista Luoma, Jeong Eun Kim, Nhat Anh Nguyen, Sang Woo Kim, Erik Ahlberg, Jesús Yus-Díez, Eija Asmi, Radovan Krejci, Ville Vakkari, Clémence Rose, Jean-Phillipe Putaud, Marco Pandolfi, Olga L. Mayol-Bracero, Nicolas Bukowiecki, Peter Tunved, Andreas Schwerin, Cathrine Lund Myhre, Patrick J. Sheridan, Jean-Marc Metzger, Anne Kasper-Giebl, Ivo Kalapov, P. Villani, Noemí Pérez, Alfred Wiedensohler, Margarita Yela, Benjamin T. Brem, Giorgos Kouvarakis, Alessandro Bigi, James P. Sherman, Natalia Prats, Hae-Jung Lee, Casper Labuschagne, Markku Kulmala, Junying Sun, Jean-Eudes Petit, András Hoffer, Thomas Tuch, Lucas Alados Arboledas, Pierre Tulet, Antti Hyvärinen, Véronique Pont, Nikos Kalivitis, Johan P. Beukes, Jonas Gliß, Todor Arsov, Sebastiao Martins Dos Santos, S. Vratolis, Fernando Velarde, Martine Collaud Coen, G. Löschau, Sangeeta Sharma, Martin Gysel-Beer, Tuukka Petäjä, Karine Sellegri, Marcos Andrade, Markus Fiebig, Lorenzo Labrador, Urs Baltensperger, Paul Zieger, Susanne Bastian, Maik Schütze, Neng Huei Lin, Nikolaos Mihalopoulos, Nadezda Zikova, Wan Dayantolis, Anna Degorska, Maik Merkel, Gloria Titos, Jenny L. Hand, Gannet A. Hallar, Harald Flentje, Olaf Bath, Fabienne Reisen, Martin Steinbacher, Gerhard Schauer, Maria Rita Perrone, Maria I. Gini, Ralf Sohmer, Salvatore Romano, Augustin Mortier, Asta Gregorič, Anthony J. Prenni, Cedric Couret, Sheng Hsiang Wang, V. Zdimal, Heikki Lihavainen, John Backman, Barbara Tokzko, Patricio Velasquez, Wenche Aas, Irena Kranjc, Konstantinos Eleftheriadis, Stina Ausmeel, Begoña Artíñano, Rolf Weller, Michael Schultz, Derek E. Day, Paolo Laj, Jakub Ondráček, Rakesh K. Hooda, Melita Keywood, and Christoph Hueglin
- Subjects
Earth's energy budget ,010504 meteorology & atmospheric sciences ,Particle number ,Meteorology ,Single-scattering albedo ,Scattering ,010501 environmental sciences ,01 natural sciences ,Aerosol ,Atmosphere ,13. Climate action ,Greenhouse gas ,Environmental science ,Cloud condensation nuclei ,Physics::Atmospheric and Oceanic Physics ,0105 earth and related environmental sciences - Abstract
Aerosol particles are essential constituents of the Earth’s atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence time resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in-situ near-surface segment of the atmospheric observations system. This paper will provide the widest effort so far to document variability of climate-relevant in-situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High quality data from more than 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single scattering albedo and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information including data provision procedures, quality control and analysis, data policy and usage of the ground-based aerosol measurements network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully-characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system.
- Published
- 2020