Articles | Volume 18, issue 10
https://doi.org/10.5194/acp-18-7217-2018
© 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-18-7217-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2018
Research article |
| 25 May 2018
| 25 May 2018
Large-scale tropospheric transport in the Chemistry–Climate Model Initiative (CCMI) simulations
Clara Orbe
CORRESPONDING AUTHOR
Goddard Earth Sciences Technology and Research (GESTAR), Columbia, MD, USA
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, USA
now at: NASA Goddard Institute for Space Studies, New York, NY, USA
Huang Yang
Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, USA
Darryn W. Waugh
Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, USA
Guang Zeng
National Institute of Water and Atmospheric Research, Wellington, New Zealand
Olaf Morgenstern
National Institute of Water and Atmospheric Research, Wellington, New Zealand
Douglas E. Kinnison
National Center for Atmospheric Research (NCAR), Atmospheric Chemistry Observations and Modeling (ACOM) Laboratory, Boulder, USA
Jean-Francois Lamarque
National Center for Atmospheric Research (NCAR), Atmospheric Chemistry Observations and Modeling (ACOM) Laboratory, Boulder, USA
Simone Tilmes
National Center for Atmospheric Research (NCAR), Atmospheric Chemistry Observations and Modeling (ACOM) Laboratory, Boulder, USA
David A. Plummer
Climate Research Branch, Environment and Climate Change Canada, Montreal, QC, Canada
John F. Scinocca
Climate Research Branch, Environment and Climate Change Canada, Victoria, BC, Canada
Beatrice Josse
Centre National de Recherches Météorologiques UMR 3589, Météo-France/CNRS, Toulouse, France
Virginie Marecal
Centre National de Recherches Météorologiques UMR 3589, Météo-France/CNRS, Toulouse, France
Patrick Jöckel
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Luke D. Oman
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Susan E. Strahan
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Universities Space Research Association, Columbia, MD, USA
Makoto Deushi
Meteorological Research Institute (MRI), Tsukuba, Japan
Taichu Y. Tanaka
Meteorological Research Institute (MRI), Tsukuba, Japan
Kohei Yoshida
Meteorological Research Institute (MRI), Tsukuba, Japan
Hideharu Akiyoshi
Climate Modeling and Analysis Section, Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
Yousuke Yamashita
Climate Modeling and Analysis Section, Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan
Andreas Stenke
Institute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, Switzerland
Laura Revell
Institute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, Switzerland
Bodeker Scientific, Christchurch, New Zealand
Timofei Sukhodolov
Institute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, Switzerland
Physikalisch-Meteorologisches Observatorium Davos/World Radiation Centre, Davos, Switzerland
Eugene Rozanov
Institute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, Switzerland
Physikalisch-Meteorologisches Observatorium Davos/World Radiation Centre, Davos, Switzerland
Giovanni Pitari
Department of Physical and Chemical Sciences, Universitá dell'Aquila, L'Aquila, Italy
Daniele Visioni
Department of Physical and Chemical Sciences, Universitá dell'Aquila, L'Aquila, Italy
Kane A. Stone
School of Earth Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia
ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, New South Wales 2052, Australia
now at: Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
Robyn Schofield
School of Earth Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia
ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, New South Wales 2052, Australia
Antara Banerjee
Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA
Download
- Final revised paper (published on 25 May 2018)
- Supplement to the final revised paper
- Preprint (discussion started on 30 Nov 2017)
- Supplement to the preprint
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'Review of Orbe et al', Anonymous Referee #1, 30 Dec 2017
-
RC2: 'Review of ‘Large-Scale Tropospheric Transport in the Chemistry Climate Model Initiative (CCMI) Simulations’', Anonymous Referee #2, 04 Jan 2018
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AC1: 'Author Cover Letter to Editor and Response to Reviewers', Clara Orbe, 08 Mar 2018
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Clara Orbe on behalf of the Authors (08 Mar 2018)
Manuscript
ED: Publish as is (27 Mar 2018) by Peter Hess
AR by Clara Orbe on behalf of the Authors (06 Apr 2018)
Manuscript
Short summary
In this study we compare a few atmospheric transport properties among several numerical models that are used to study the influence of atmospheric chemistry on climate. We show that there are large differences among models in terms of the timescales that connect the Northern Hemisphere midlatitudes, where greenhouse gases and ozone-depleting substances are emitted, to the Southern Hemisphere. Our results may have important implications for how models represent atmospheric composition.
In this study we compare a few atmospheric transport properties among several numerical models...
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Final-revised paper
Preprint