Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-3525-2016
© 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-16-3525-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Mar 2016
Research article |
| 17 Mar 2016
Evaluation of observed and modelled aerosol lifetimes using radioactive tracers of opportunity and an ensemble of 19 global models
N. I. Kristiansen
CORRESPONDING AUTHOR
NILU – Norwegian Institute for Air Research, Kjeller,
Norway
NILU – Norwegian Institute for Air Research, Kjeller,
Norway
D. J. L. Olivié
Norwegian Meteorological Institute, Oslo,
Norway
Department of Physics and Atmospheric Science, Dalhousie
University, Halifax, Canada
O. A. Søvde
Center for International Climate and Environmental
Research – Oslo (CICERO), Oslo, Norway
H. Klein
Norwegian Meteorological Institute, Oslo,
Norway
T. Christoudias
The Cyprus Institute, Nicosia, Cyprus
D. Kunkel
Institute for Atmospheric Physics, Johannes
Gutenberg University of Mainz, Mainz, Germany
S. J. Leadbetter
Met Office, Exeter, UK
Y. H. Lee
Earth and Ocean Sciences, Nicholas School of the
Environment, Duke University, Durham, NC, USA
Pacific Northwest National Laboratory (PNNL), Richland,
WA, USA
K. Tsigaridis
Center for Climate Systems Research, Columbia
University, and NASA Goddard Institute for Space Studies, New York, NY,
USA
T. Bergman
Finnish Meteorological Institute, Kuopio,
Finland
N. Evangeliou
NILU – Norwegian Institute for Air Research, Kjeller,
Norway
Laboratoire des Sciences du Climat et de
l'Environnement, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Pacific Northwest National Laboratory (PNNL), Richland,
WA, USA
Pacific Northwest National Laboratory (PNNL), Richland,
WA, USA
R. C. Easter
Pacific Northwest National Laboratory (PNNL), Richland,
WA, USA
P. J. Rasch
Pacific Northwest National Laboratory (PNNL), Richland,
WA, USA
X. Liu
Department of Atmospheric Science, University of
Wyoming, Laramie, WY, USA
G. Pitari
University of L'Aquila, L'Aquila, Italy
G. Di Genova
University of L'Aquila, L'Aquila, Italy
S. Y. Zhao
Laboratory for Climate Studies, National Climate Center,
Chinese Meteorological Administration, Beijing, China
Y. Balkanski
Laboratoire des Sciences du Climat et de
l'Environnement, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
S. E. Bauer
Center for Climate Systems Research, Columbia
University, and NASA Goddard Institute for Space Studies, New York, NY,
USA
G. S. Faluvegi
Center for Climate Systems Research, Columbia
University, and NASA Goddard Institute for Space Studies, New York, NY,
USA
H. Kokkola
Finnish Meteorological Institute, Kuopio,
Finland
R. V. Martin
Department of Physics and Atmospheric Science, Dalhousie
University, Halifax, Canada
J. R. Pierce
Department of Atmospheric Science, Colorado State
University, Fort Collins, CO, USA
Department of Physics and Atmospheric Science, Dalhousie
University, Halifax, Canada
M. Schulz
Norwegian Meteorological Institute, Oslo,
Norway
D. Shindell
Earth and Ocean Sciences, Nicholas School of the
Environment, Duke University, Durham, NC, USA
Institute for Atmospheric Physics, Johannes
Gutenberg University of Mainz, Mainz, Germany
H. Zhang
Laboratory for Climate Studies, National Climate Center,
Chinese Meteorological Administration, Beijing, China
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Latest update: 21 Nov 2024
Short summary
Processes affecting aerosol removal from the atmosphere are not fully understood. In this study we investigate to what extent atmospheric transport models can reproduce observed loss of aerosols. We compare measurements of radioactive isotopes, that attached to ambient sulfate aerosols during the 2011 Fukushima nuclear accident, to 19 models using identical emissions. Results indicate aerosol removal that is too fast in most models, and apply to aerosols that have undergone long-range transport.
Processes affecting aerosol removal from the atmosphere are not fully understood. In this study...
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