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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Copernicus Publications 2017-02-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/10/639/2017/gmd-10-639-2017.pdf
Description
Summary: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.
ISSN:1991-959X
1991-9603