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

Morgenstern, O.; Hegglin, Michaela; Rozanov, E.; O'Connor, F. M.; Abraham, N.L.; Akiyoshi, H.; Archibald, A.; 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.; Zeng, G.

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

2017

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.

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