Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)
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Published:2017-02-13
Issue:2
Volume:10
Page:639-671
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Morgenstern OlafORCID, Hegglin Michaela I.ORCID, Rozanov EugeneORCID, O'Connor Fiona M., Abraham N. LukeORCID, Akiyoshi HideharuORCID, Archibald Alexander T.ORCID, Bekki SlimaneORCID, Butchart Neal, Chipperfield Martyn P.ORCID, Deushi MakotoORCID, Dhomse Sandip S.ORCID, Garcia Rolando R.ORCID, Hardiman Steven C.ORCID, Horowitz Larry W., Jöckel PatrickORCID, Josse Beatrice, Kinnison Douglas, Lin MeiyunORCID, Mancini Eva, Manyin Michael E., Marchand Marion, Marécal VirginieORCID, Michou Martine, Oman Luke D., Pitari Giovanni, Plummer David A.ORCID, Revell Laura E.ORCID, Saint-Martin DavidORCID, Schofield RobynORCID, Stenke AndreaORCID, Stone KaneORCID, Sudo KengoORCID, Tanaka Taichu Y.ORCID, Tilmes SimoneORCID, Yamashita YousukeORCID, Yoshida KoheiORCID, Zeng GuangORCID
Abstract
Abstract. We present an overview of state-of-the-art chemistry–climate and chemistry transport models that are used within phase 1 of the Chemistry–Climate Model Initiative (CCMI-1). The CCMI aims to conduct a detailed evaluation of participating models using process-oriented diagnostics derived from observations in order to gain confidence in the models' projections of the stratospheric ozone layer, tropospheric composition, air quality, where applicable global climate change, and the interactions between them. Interpretation of these diagnostics requires detailed knowledge of the radiative, chemical, dynamical, and physical processes incorporated in the models. Also an understanding of the degree to which CCMI-1 recommendations for simulations have been followed is necessary to understand model responses to anthropogenic and natural forcing and also to explain inter-model differences. This becomes even more important given the ongoing development and the ever-growing complexity of these models. This paper also provides an overview of the available CCMI-1 simulations with the aim of informing CCMI data users.
Funder
European Commission Centre National d’Etudes Spatiales Seventh Framework Programme Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Royal Society of New Zealand
Publisher
Copernicus GmbH
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