Articles | Volume 11, issue 8
https://doi.org/10.5194/gmd-11-3109-2018
© 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/gmd-11-3109-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Age of air as a diagnostic for transport timescales in global models
Meteorology and Air Quality, Wageningen University, Wageningen, the
Netherlands
Institute for Marine and Atmospheric Research, Utrecht
University, Utrecht, the Netherlands
Netherlands Institute for
Space Research SRON, Utrecht, the Netherlands
Marco de Bruine
Institute for Marine and Atmospheric Research, Utrecht
University, Utrecht, the Netherlands
Lars Killaars
Faculty of Science
and Engineering, University of Groningen, Groningen, the Netherlands
Huug Ouwersloot
Max Planck Institute for Chemistry, Mainz, Germany
Andrea Pozzer
Max Planck Institute for Chemistry, Mainz, Germany
Yi Yin
Laboraroire de Sciences du Climat et de l'Environnement (LSCE),
Gif-sur-Yvette, France
now at: Jet Propulsion
Laboratory, Pasadena, California, USA
Frederic Chevallier
Laboraroire de Sciences du Climat et de l'Environnement (LSCE),
Gif-sur-Yvette, France
Philippe Bousquet
Laboraroire de Sciences du Climat et de l'Environnement (LSCE),
Gif-sur-Yvette, France
Prabir Patra
Japan Agency for
Marine-Earth Science and Technology (JAMSTEC), Yokohama City, Japan
Dmitry Belikov
Hokkaido University, Sapporo, Hokkaido, Japan
Shamil Maksyutov
Center for
Global Environmental Research, National Institute for Environmental Studies,
Tsukuba, Ibaraki, Japan
Sandip Dhomse
School of Earth and Environment,
University of Leeds, Leeds, UK
Wuhu Feng
National Centre for Atmospheric
Science, University of Leeds, Leeds, UK
Martyn P. Chipperfield
School of Earth and Environment,
University of Leeds, Leeds, UK
National Centre for Atmospheric
Science, University of Leeds, Leeds, UK
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Latest update: 14 Dec 2024
Short summary
The TransCom inter-comparison project regularly carries out studies to quantify errors in simulated atmospheric transport. This paper presents the first results of an age of air (AoA) inter-comparison of six global transport models. Following a protocol, six models simulated five tracers from which atmospheric transport times can easily be deduced. Results highlight that inter-model differences associated with atmospheric transport are still large and require further analysis.
The TransCom inter-comparison project regularly carries out studies to quantify errors in...