Articles | Volume 18, issue 14
https://doi.org/10.5194/acp-18-10615-2018
https://doi.org/10.5194/acp-18-10615-2018
Review article
 | 
25 Jul 2018
Review article |  | 25 Jul 2018

Status and future of numerical atmospheric aerosol prediction with a focus on data requirements

Angela Benedetti, Jeffrey S. Reid, Peter Knippertz, John H. Marsham, Francesca Di Giuseppe, Samuel Rémy, Sara Basart, Olivier Boucher, Ian M. Brooks, Laurent Menut, Lucia Mona, Paolo Laj, Gelsomina Pappalardo, Alfred Wiedensohler, Alexander Baklanov, Malcolm Brooks, Peter R. Colarco, Emilio Cuevas, Arlindo da Silva, Jeronimo Escribano, Johannes Flemming, Nicolas Huneeus, Oriol Jorba, Stelios Kazadzis, Stefan Kinne, Thomas Popp, Patricia K. Quinn, Thomas T. Sekiyama, Taichu Tanaka, and Enric Terradellas

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Angela Benedetti on behalf of the Authors (20 Jun 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (29 Jun 2018) by Barbara Ervens
ED: Publish as is (02 Jul 2018) by Barbara Ervens
AR by Angela Benedetti on behalf of the Authors (03 Jul 2018)
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Short summary
Numerical prediction of aerosol particle properties has become an important activity at many research and operational weather centers. This development is due to growing interest from a diverse set of stakeholders, such as air quality regulatory bodies, aviation authorities, solar energy plant managers, climate service providers, and health professionals. This paper describes the advances in the field and sets out requirements for observations for the sustainability of these activities.
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