Review of the global models used within the Chemistry-Climate Model Initiative (CCMI)
Review of the global models used within the Chemistry-Climate Model Initiative (CCMI)
复制标题
化学-气候模型倡议 (CCMI) 中使用的全球模型回顾
DOI：
10.5194/gmd-2016-199
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
G. Zeng
中科院分区：
文献类型：
--
作者：
O. Morgenstern;M. Hegglin;E. Rozanov;O. apos;F. O. Connor;N. Abraham;H. Akiyoshi;A. Archibald;S. Bekki;N. Butchart;M. Chipperfield;M. Deushi;S. Dhomse;R. Garcia;S. Hardiman;L. Horowitz;P. Jöckel;B. Josse;D. Kinnison;M. Lin;E. Mancini;M. Manyin;M. Marchand;V. Marécal;M. Michou;L. Oman;G. Pitari;D. Plummer;L. Revell;D. Saint‐Martin;R. Schofield;A. Stenke;K. Stone;K. Sudo;T. Tanaka;S. Tilmes;Y. Yamashita;K. Yoshida;G. Zeng
我们提出了一个国家的最先进的化学气候和运输模式的化学气候模式倡议（CCMI）内使用的概述。CCMI旨在利用从观测中得出的面向过程的诊断对参与模型进行详细评估，以便对模型对平流层臭氧层、空气质量、适用的全球气候变化以及它们之间的相互作用的预测取得信心。这些诊断的解释需要详细的辐射，化学，动力学和物理过程中纳入的模型的知识。此外，了解CCMI对模拟的建议在多大程度上得到了遵循，对于理解模式对人为和自然强迫的响应以及解释模式间的差异也是必要的。考虑到这些模型的持续发展和不断增长的复杂性，这一点变得更加重要。本文还概述了现有的CCMI模拟，旨在告知CCMI数据用户。
We present an overview of state-of-the-art chemistry-climate and -transport models that are used within the Chemistry Climate Model Initiative (CCMI). 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, 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 recommendations for simulations have been followed is necessary to understand model response 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 simulations with the aim to inform CCMI data users.
影响因子：
5.1
作者：
Joeckel, Patrick;Tost, Holger;Zahn, Andreas
通讯作者：
Zahn, Andreas
热带平流层臭氧的太阳响应：使用 ERA 重新分析的 3D 化学输运模型研究
影响因子：
6.3
作者：
Dhomse S
通讯作者：
Dhomse S
影响因子：
6.3
作者：
Ermolli, I.;Matthes, K.;Woods, T. N.
通讯作者：
Woods, T. N.