Articles | Volume 16, issue 6
https://doi.org/10.5194/acp-16-3665-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-3665-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Processes controlling the annual cycle of Arctic aerosol number and size distributions
Department of Physics and Atmospheric Science, Dalhousie
University, Halifax, NS, Canada
Randall V. Martin
Department of Physics and Atmospheric Science, Dalhousie
University, Halifax, NS, Canada
Harvard-Smithsonian Center for Astrophysics, Cambridge,
MA, USA
W. Richard Leaitch
Climate Research Directorate, Environment and Climate
Change Canada, Toronto, Ontario, Canada
Peter Tunved
Department of Environmental Science and Analytical
Chemistry, Stockholm University, Stockholm, Sweden
Thomas J. Breider
School of Engineering and Applied Sciences, Harvard
University, Cambridge, MA, USA
Stephen D. D'Andrea
Department of Atmospheric Science, Colorado State
University, Fort Collins, CO, USA
Jeffrey R. Pierce
Department of Atmospheric Science, Colorado State
University, Fort Collins, CO, USA
Department of Physics and Atmospheric Science, Dalhousie
University, Halifax, NS, Canada
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Latest update: 14 Oct 2024
Short summary
Measurements at high-Arctic sites show a strong annual cycle in atmospheric particle number and size. Previous studies identified poor scientific understanding related to global model representation of Arctic particle number and size, limiting ability to simulate this environment. Here we evaluate state-of-science ability to simulate Arctic particles using GEOS-Chem-TOMAS model, documenting key roles and interconnections of particle formation, cloud-related processes and remaining uncertainties.
Measurements at high-Arctic sites show a strong annual cycle in atmospheric particle number and...
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