Articles | Volume 20, issue 16
https://doi.org/10.5194/acp-20-9961-2020
© Author(s) 2020. 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-20-9961-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence
Matt Amos
CORRESPONDING AUTHOR
Lancaster Environment Centre, Lancaster University, Lancaster, UK
Paul J. Young
Lancaster Environment Centre, Lancaster University, Lancaster, UK
Centre of Excellence in Environmental Data Science, Lancaster University, Lancaster, UK
J. Scott Hosking
British Antarctic Survey, Cambridge, UK
Jean-François Lamarque
National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA
N. Luke Abraham
Department of Chemistry, University of Cambridge, Cambridge, UK
National Centre for Atmospheric Science (NCAS), Leeds, LS2 9PH, UK
Hideharu Akiyoshi
National Institute for Environmental Studies (NIES), Tsukuba, Japan
Alexander T. Archibald
Department of Chemistry, University of Cambridge, Cambridge, UK
National Centre for Atmospheric Science (NCAS), Leeds, LS2 9PH, UK
Slimane Bekki
LATMOS, Institut Pierre Simon Laplace (IPSL), Paris, France
Makoto Deushi
Meteorological Research Institute (MRI), Tsukuba, Japan
Patrick Jöckel
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany
Douglas Kinnison
National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA
Ole Kirner
Steinbuch Centre for Computing, Karlsruhe Institute of Technology, Karlsruhe, Germany
Markus Kunze
Institut für Meteorologie, Freie Universität Berlin, Berlin, Germany
Marion Marchand
LATMOS, Institut Pierre Simon Laplace (IPSL), Paris, France
David A. Plummer
Environment and Climate Change Canada, Montreal, Canada
David Saint-Martin
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Kengo Sudo
Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan
Simone Tilmes
National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA
Yousuke Yamashita
National Institute for Environmental Studies (NIES), Tsukuba, Japan
Data sets
The IGAC/SPARC Chemistry-Climate Model Initiative Phase-1 (CCMI-1) model data output M. I. Hegglin and J.-F. Lamarque http://data.ceda.ac.uk/badc/wcrp-ccmi/data/CCMI-1/output
CCMI Phase 1 National Centre for Atmospheric Research https://www.earthsystemgrid.org/project/CCMI1.html
Model code and software
Mattramos/Weighting-CCMI-ensemble: Weighting-CCMI-ensemble Matt Amos https://doi.org/10.5281/zenodo.3624523
Short summary
We present an updated projection of Antarctic ozone hole recovery using an ensemble of chemistry–climate models. To do so, we employ a method, more advanced and skilful than the current multi-model mean standard, which is applicable to other ensemble analyses. It calculates the performance and similarity of the models, which we then use to weight the model. Calculating model similarity allows us to account for models which are constructed from similar components.
We present an updated projection of Antarctic ozone hole recovery using an ensemble of...
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