University of Canterbury Home
    • Admin
    UC Research Repository
    UC Library
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    1. UC Home
    2. Library
    3. UC Research Repository
    4. Faculty of Science | Te Kaupeka Pūtaiao
    5. Science: Journal Articles
    6. View Item
    1. UC Home
    2.  > 
    3. Library
    4.  > 
    5. UC Research Repository
    6.  > 
    7. Faculty of Science | Te Kaupeka Pūtaiao
    8.  > 
    9. Science: Journal Articles
    10.  > 
    11. View Item

    Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI) (2017)

    Thumbnail
    View/Open
    Published version (4.220Mb)
    Type of Content
    Journal Article
    UC Permalink
    http://hdl.handle.net/10092/15742
    
    Publisher's DOI/URI
    https://doi.org/10.5194/gmd-10-639-2017
    
    ISSN
    1991-959X
    1991-9603
    Collections
    • Science: Journal Articles [1099]
    Authors
    Morgenstern O
    Hegglin MI
    Rozanov E
    O'Connor FM
    Abraham NL
    Akiyoshi H
    Archibald AT
    Bekki S
    Butchart N
    Chipperfield MP
    Deushi M
    Dhomse SS
    Garcia RR
    Hardiman SC
    Horowitz LW
    Joeckel P
    Josse B
    Kinnison D
    Lin M
    Mancini E
    Manyin ME
    Marchand M
    Marecal V
    Michou M
    Oman LD
    Pitari G
    Plummer DA
    Revell LE
    Saint-Martin D
    Schofield R
    Stenke A
    Stone K
    Sudo K
    Tanaka TY
    Tilmes S
    Yamashita Y
    Yoshida K
    Zeng G
    show all
    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 intermodel 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.

    Citation
    Morgenstern, O., Hegglin, M. I., Rozanov, E., O'Connor, F. M., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Bekki, S., Butchart, N., Chipperfield, M. P., Deushi, M., Dhomse, S. S., Garcia, R. R., Hardiman, S. C., Horowitz, L. W., Jöckel, P., Josse, B., Kinnison, D., Lin, M., Mancini, E., Manyin, M. E., Marchand, M., Marécal, V., Michou, M., Oman, L. D., Pitari, G., Plummer, D. A., Revell, L. E., Saint-Martin, D., Schofield, R., Stenke, A., Stone, K., Sudo, K., Tanaka, T. Y., Tilmes, S., Yamashita, Y., Yoshida, K., and Zeng, G.: Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639–671, https://doi.org/10.5194/gmd-10-639-2017, 2017.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    ANZSRC Fields of Research
    37 - Earth sciences::3701 - Atmospheric sciences::370104 - Atmospheric composition, chemistry and processes
    04 - Earth Sciences::0401 - Atmospheric Sciences::040105 - Climatology (excl. Climate Change Processes)
    04 - Earth Sciences::0401 - Atmospheric Sciences::040104 - Climate Change Processes
    37 - Earth sciences::3701 - Atmospheric sciences::370105 - Atmospheric dynamics
    Rights
    © Author(s) 2017. CC Attribution 3.0 License.

    Related items

    Showing items related by title, author, creator and subject.

    • Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations 

      Dhomse SS; Kinnison D; Chipperfield MP; Salawitch RJ; Cionni I; Hegglin MI; Abraham NL; Akiyoshi H; Archibald AT; Bednarz EM; Bekki S; Braesicke P; Butchart N; Dameris M; Deushi M; Frith S; Hardiman SC; Hassler B; Horowitz LW; Hu R-M; Jöckel P; Josse B; Kirner O; Kremser S; Langematz U; Lewis J; Marchand M; Lin M; Mancini E; Marécal V; Michou M; Morgenstern O; Oman L; Pitari G; Plummer DA; Pyle JA; Revell LE; Rozanov E; Schofield R; Stenke A; Stone K; Sudo K; Tilmes S; Visioni D; Yamashita Y; Zeng G; O'Connor, FM (2018)
      We analyse simulations performed for the Chemistry-Climate Model Initiative (CCMI) to estimate the return dates of the stratospheric ozone layer from depletion caused by anthropogenic stratospheric chlorine and bromine. We ...
    • Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative 

      Lamy K; Portafaix T; Josse B; Brogniez C; Godin-Beekmann S; Bencherif H; Revell L; Akiyoshi H; Bekki S; Hegglin MI; Jöckel P; Kirner O; Liley B; Marecal V; Morgenstern O; Stenke A; Zeng G; Abraham NL; Archibald AT; Butchart N; Chipperfield MP; Di Genova G; Deushi M; Dhomse SS; Hu R-M; Kinnison D; Kotkamp M; McKenzie R; Michou M; O'Connor FM; Oman LD; Pitari G; Plummer DA; Pyle JA; Rozanov E; Saint-Martin D; Sudo K; Tanaka TY; Visioni D; Yoshida K (Copernicus GmbH, 2019)
      <We have derived values of the ultraviolet index (UVI) at solar noon using the Tropospheric Ultraviolet Model (TUV) driven by ozone, temperature and aerosol fields from climate simulations of the first phase of the ...
    • No robust evidence of future changes in major stratospheric sudden warmings: a multi-model assessment from CCMI 

      Ayarzaguena B; Polvani LM; Langematz U; Akiyoshi H; Bekki S; Butchart N; Dameris M; Deushi M; Hardiman SC; Jockel P; Klekociuk A; Marchand M; Michou M; Morgenstern O; O'Connor F; Oman LD; Plummer DA; Revell LE; Rozanov E; Saint-Martin D; Scinocca J; Stenke A; Stone K; Yamashita Y; Yoshida K; Zeng G (2018)
      Major mid-winter stratospheric sudden warmings (SSWs) are the largest instance of wintertime variability in the Arctic stratosphere. Because SSWs are able to cause significant surface weather anomalies on intra-season ...
    Advanced Search

    Browse

    All of the RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThesis DisciplineThis CollectionBy Issue DateAuthorsTitlesSubjectsThesis Discipline

    Statistics

    View Usage Statistics
    • SUBMISSIONS
    • Research Outputs
    • UC Theses
    • CONTACTS
    • Send Feedback
    • +64 3 369 3853
    • ucresearchrepository@canterbury.ac.nz
    • ABOUT
    • UC Research Repository Guide
    • Copyright and Disclaimer
    • SUBMISSIONS
    • Research Outputs
    • UC Theses
    • CONTACTS
    • Send Feedback
    • +64 3 369 3853
    • ucresearchrepository@canterbury.ac.nz
    • ABOUT
    • UC Research Repository Guide
    • Copyright and Disclaimer