Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)
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 (<span style="" class="text">CCMI-1</span>). The CCMI aims to conduct a detailed evaluation of participat...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-02-01
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| Series: | Geoscientific Model Development |
| Online Access: | http://www.geosci-model-dev.net/10/639/2017/gmd-10-639-2017.pdf |
| _version_ | 1819230240413581312 |
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| author | O. Morgenstern M. I. Hegglin E. Rozanov F. M. O'Connor N. L. Abraham H. Akiyoshi A. T. Archibald S. Bekki N. Butchart M. P. Chipperfield M. Deushi S. S. Dhomse R. R. Garcia S. C. Hardiman L. W. Horowitz P. Jöckel B. Josse D. Kinnison M. Lin E. Mancini M. E. Manyin M. Marchand V. Marécal M. Michou L. D. Oman G. Pitari D. A. Plummer L. E. Revell D. Saint-Martin R. Schofield A. Stenke K. Stone K. Sudo T. Y. Tanaka S. Tilmes Y. Yamashita K. Yoshida G. Zeng |
| author_facet | O. Morgenstern M. I. Hegglin E. Rozanov F. M. O'Connor N. L. Abraham H. Akiyoshi A. T. Archibald S. Bekki N. Butchart M. P. Chipperfield M. Deushi S. S. Dhomse R. R. Garcia S. C. Hardiman L. W. Horowitz P. Jöckel B. Josse D. Kinnison M. Lin E. Mancini M. E. Manyin M. Marchand V. Marécal M. Michou L. D. Oman G. Pitari D. A. Plummer L. E. Revell D. Saint-Martin R. Schofield A. Stenke K. Stone K. Sudo T. Y. Tanaka S. Tilmes Y. Yamashita K. Yoshida G. Zeng |
| author_sort | O. Morgenstern |
| collection | DOAJ |
| description | 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 (<span style="" class="text">CCMI-1</span>). 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 <span style="" class="text">CCMI-1</span>
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 <span style="" class="text">CCMI-1</span> simulations with the aim of informing CCMI data users. |
| first_indexed | 2024-12-23T11:25:55Z |
| format | Article |
| id | doaj.art-a384a49480aa4c698695254f71450bdf |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-12-23T11:25:55Z |
| publishDate | 2017-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-a384a49480aa4c698695254f71450bdf2022-12-21T17:48:56ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032017-02-0110263967110.5194/gmd-10-639-2017Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)O. Morgenstern0M. I. Hegglin1E. Rozanov2F. M. O'Connor3N. L. Abraham4H. Akiyoshi5A. T. Archibald6S. Bekki7N. Butchart8M. P. Chipperfield9M. Deushi10S. S. Dhomse11R. R. Garcia12S. C. Hardiman13L. W. Horowitz14P. Jöckel15B. Josse16D. Kinnison17M. Lin18E. Mancini19M. E. Manyin20M. Marchand21V. Marécal22M. Michou23L. D. Oman24G. Pitari25D. A. Plummer26L. E. Revell27D. Saint-Martin28R. Schofield29A. Stenke30K. Stone31K. Sudo32T. Y. Tanaka33S. Tilmes34Y. Yamashita35K. Yoshida36G. Zeng37National Institute of Water and Atmospheric Research (NIWA), Wellington, New ZealandDepartment of Meteorology, University of Reading, Reading, UKPhysikalisch-Meteorologisches Observatorium Davos – World Radiation Center (PMOD/WRC), Davos, SwitzerlandMet Office Hadley Centre (MOHC), Exeter, UKDepartment of Chemistry, University of Cambridge, Cambridge, UKNational Institute of Environmental Studies (NIES), Tsukuba, JapanDepartment of Chemistry, University of Cambridge, Cambridge, UKLATMOS, Institut Pierre Simon Laplace (IPSL), Paris, FranceMet Office Hadley Centre (MOHC), Exeter, UKSchool of Earth and Environment, University of Leeds, Leeds, UKMeteorological Research Institute (MRI), Tsukuba, JapanSchool of Earth and Environment, University of Leeds, Leeds, UKNational Center for Atmospheric Research (NCAR), Boulder, Colorado, USAMet Office Hadley Centre (MOHC), Exeter, UKNational Atmospheric and Ocean Administration Geophysical Fluid Dynamics Laboratory (NOAA GFDL), Princeton, New Jersey, USAInstitut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, GermanyCNRM UMR 3589, Météo-France/CNRS, Toulouse, FranceNational Center for Atmospheric Research (NCAR), Boulder, Colorado, USANational Atmospheric and Ocean Administration Geophysical Fluid Dynamics Laboratory (NOAA GFDL), Princeton, New Jersey, USADepartment of Physical and Chemical Sciences, Universitá dell'Aquila, L'Aquila, ItalyNational Aeronautics and Space Administration Goddard Space Flight Center (NASA GSFC), Greenbelt, Maryland, USALATMOS, Institut Pierre Simon Laplace (IPSL), Paris, FranceCNRM UMR 3589, Météo-France/CNRS, Toulouse, FranceCNRM UMR 3589, Météo-France/CNRS, Toulouse, FranceNational Aeronautics and Space Administration Goddard Space Flight Center (NASA GSFC), Greenbelt, Maryland, USADepartment of Physical and Chemical Sciences, Universitá dell'Aquila, L'Aquila, ItalyEnvironment and Climate Change Canada, Montréal, CanadaInstitute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, SwitzerlandCNRM UMR 3589, Météo-France/CNRS, Toulouse, FranceSchool of Earth Sciences, University of Melbourne, Melbourne, Victoria, AustraliaInstitute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, SwitzerlandSchool of Earth Sciences, University of Melbourne, Melbourne, Victoria, AustraliaGraduate School of Environmental Studies, Nagoya University, Nagoya, JapanMeteorological Research Institute (MRI), Tsukuba, JapanNational Center for Atmospheric Research (NCAR), Boulder, Colorado, USANational Institute of Environmental Studies (NIES), Tsukuba, JapanMeteorological Research Institute (MRI), Tsukuba, JapanNational Institute of Water and Atmospheric Research (NIWA), Wellington, New ZealandWe 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 (<span style="" class="text">CCMI-1</span>). 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 <span style="" class="text">CCMI-1</span> 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 <span style="" class="text">CCMI-1</span> simulations with the aim of informing CCMI data users.http://www.geosci-model-dev.net/10/639/2017/gmd-10-639-2017.pdf |
| spellingShingle | O. Morgenstern M. I. Hegglin E. Rozanov F. M. O'Connor N. L. Abraham H. Akiyoshi A. T. Archibald S. Bekki N. Butchart M. P. Chipperfield M. Deushi S. S. Dhomse R. R. Garcia S. C. Hardiman L. W. Horowitz P. Jöckel B. Josse D. Kinnison M. Lin E. Mancini M. E. Manyin M. Marchand V. Marécal M. Michou L. D. Oman G. Pitari D. A. Plummer L. E. Revell D. Saint-Martin R. Schofield A. Stenke K. Stone K. Sudo T. Y. Tanaka S. Tilmes Y. Yamashita K. Yoshida G. Zeng Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) Geoscientific Model Development |
| title | Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) |
| title_full | Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) |
| title_fullStr | Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) |
| title_full_unstemmed | Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) |
| title_short | Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) |
| title_sort | review of the global models used within phase 1 of the chemistry climate model initiative ccmi |
| url | http://www.geosci-model-dev.net/10/639/2017/gmd-10-639-2017.pdf |
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