Articles | Volume 18, issue 14
https://doi.org/10.5194/acp-18-10615-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-10615-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
25 Jul 2018
Review article |
| 25 Jul 2018
| 25 Jul 2018
Status and future of numerical atmospheric aerosol prediction with a focus on data requirements
European Centre for Medium-Range Weather Forecasts, Reading, UK
Jeffrey S. Reid
Naval Research Laboratory, Monterey, CA, USA
Peter Knippertz
Karlsruhe Institute of Technology, Karlsruhe, Germany
John H. Marsham
University of Leeds, Leeds, UK
National Centre for Atmospheric Science, Leeds, UK
Francesca Di Giuseppe
European Centre for Medium-Range Weather Forecasts, Reading, UK
Samuel Rémy
Institut Pierre-Simon Laplace, CNRS/Sorbonne Université, Paris, France
Sara Basart
Barcelona Supercomputing Center, BSC, Barcelona, Spain
Olivier Boucher
Institut Pierre-Simon Laplace, CNRS/Sorbonne Université, Paris, France
Ian M. Brooks
University of Leeds, Leeds, UK
Laurent Menut
Laboratoire de Météorologie Dynamique, Ecole Polytechnique, IPSL Research University, Ecole Normale Supérieure, Université Paris-Saclay, Sorbonne Universités, UPMC Univ Paris 06, CNRS, Palaiseau, France
Lucia Mona
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), C. da S. Loja, Tito Scalo (PZ), Italy
Paolo Laj
Univ. Grenoble-alpes, IGE, CNRS, IRD, Grenoble INP, Grenoble, France
Department of Physics, University of Helsinki, Helsinki, Finland
Gelsomina Pappalardo
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), C. da S. Loja, Tito Scalo (PZ), Italy
Alfred Wiedensohler
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Alexander Baklanov
World Meteorological Organization, Geneva, Switzerland
Malcolm Brooks
UK Met Office, Exeter, UK
Peter R. Colarco
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Emilio Cuevas
Izaña Atmospheric Research Centre, AEMET, Santa Cruz de Tenerife, Spain
Arlindo da Silva
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Jeronimo Escribano
Institut Pierre-Simon Laplace, CNRS/Sorbonne Université, Paris, France
Johannes Flemming
European Centre for Medium-Range Weather Forecasts, Reading, UK
Nicolas Huneeus
Geophysics Department, University of Chile, Santiago, Chile
Center for Climate and Resilience Research (CR)2, Santiago, Chile
Oriol Jorba
Barcelona Supercomputing Center, BSC, Barcelona, Spain
Stelios Kazadzis
Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center, Switzerland, Davos, Switzerland
National Observatory of Athens, Greece
Stefan Kinne
Max-Planck-Institut für Meteorologie, Hamburg, Germany
Thomas Popp
German Aerospace Center (DLR), German Remote Sensing Data Center Atmosphere, Oberpfaffenhofen, Germany
Patricia K. Quinn
National Oceanic and Atmospheric Administration, Pacific Marine Environmental Laboratory, Seattle, WA, USA
Thomas T. Sekiyama
Japan Meteorological Agency/Meteorological Research Institute, Tsukuba, Japan
Taichu Tanaka
Japan Meteorological Agency/Meteorological Research Institute, Tsukuba, Japan
Enric Terradellas
Spanish Meteorological Agency, AEMET, Barcelona, Spain
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- A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories P. Laj et al. 10.5194/amt-13-4353-2020
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Latest update: 14 Dec 2024
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.
Numerical prediction of aerosol particle properties has become an important activity at many...
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