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Review of the Global Models Used Within Phase 1 of the Chemistry-Climate Model Initiative (CCMI)

Authors :
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
Jockel, Patrick
Josse, Beatrice
Kinnison, Douglas
Lin, Meiyun
Mancini, Eva
Manyin, Michael E
Marchand, Marion
Marecal, 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
Source :
Geoscientific Model Development. 10(2)
Publication Year :
2017
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2017.

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.

Subjects

Subjects :
Geosciences (General)

Details

Language :
English
ISSN :
19919603 and 1991959X
Volume :
10
Issue :
2
Database :
NASA Technical Reports
Journal :
Geoscientific Model Development
Notes :
ERTDF 2-1303, , CE110001028, , CDE 2011/16853, , FP7-ENV.2013.6.1-2, , NNG17HP01C, , CRESCENDO 641816., , 12-NIW-006, , CRSII2_147659
Publication Type :
Report
Accession number :
edsnas.20180002913
Document Type :
Report
Full Text :
https://doi.org/10.5194/gmd-10-639-2017