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Cited by 401

The DOI matches its Crossref record; 217 of the 217 references it cites were found in a registry or an index.

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

Open access
Morgenstern, Olaf, Hegglin, Michaela I., Rozanov, Eugene, O'Connor, Fiona M., Abraham, N. Luke, Akiyoshi, Hideharu, Archibald, Alexander T., Bekki, Slimane, Butchart, Neal, Chipperfield, Martyn P., Deushi, Makoto, Dhomse, Sandip S., Garcia, Rolando R., Hardiman, Steven C., Horowitz, Larry W., Jöckel, Patrick, Josse, Beatrice, Kinnison, Douglas, Lin, Meiyun, Mancini, Eva, Manyin, Michael E., Marchand, Marion, Marécal, Virginie, Michou, Martine, Oman, Luke D., Pitari, Giovanni, Plummer, David A., Revell, Laura E., Saint-Martin, David, Schofield, Robyn, Stenke, Andrea, Stone, Kane, Sudo, Kengo, Tanaka, Taichu Y., Tilmes, Simone, Yamashita, Yousuke, Yoshida, Kohei, Zeng, Guang·2017·Geoscientific Model Development
DOI 10.5194/gmd-10-639-2017
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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.

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Metadata

Authors
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., & Zeng, G.
Venue
Geoscientific Model Development
Publisher
Copernicus GmbH
Published
2017-02-13
Volume
10
Issue
2
Pages
639-671
ISSN
  • 1991-959X (ISSN-L)
  • 1991-9603
DOI
10.5194/gmd-10-639-2017
OpenAlex
W2588353936
Cited by
401
References
217
FWCI
26.79
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI). https://app.cochat.ai/papers/10.5194/gmd-10-639-2017
The paper
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., . . . Zeng, G. (2017). Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI). Geoscientific Model Development. https://doi.org/10.5194/gmd-10-639-2017

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.