中文版 | English
题名

Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation

作者
通讯作者Zhang, Lin; Wu, Tongwen
发表日期
2020-08-31
DOI
发表期刊
ISSN
1991-959X
EISSN
1991-9603
卷号13期号:9页码:3817-3838
摘要

Chemistry plays an indispensable role in investigations of the atmosphere; however, many climate models either ignore or greatly simplify atmospheric chemistry, limiting both their accuracy and their scope. We present the development and evaluation of the online global atmospheric chemical model BCC-GEOS-Chem v1.0, coupling the GEOS-Chem chemical transport model (CTM) as an atmospheric chemistry component in the Beijing Climate Center atmospheric general circulation model (BCC-AGCM). The GEOS-Chem atmospheric chemistry component includes detailed tropospheric HOx-NOx-volatile organic compounds-ozone-bromine-aerosol chemistry and online dry and wet deposition schemes. We then demonstrate the new capabilities of BCC-GEOS-Chem v1.0 relative to the base BCC-AGCM model through a 3-year (2012-2014) simulation with anthropogenic emissions from the Community Emissions Data System (CEDS) used in the Coupled Model Intercomparison Project Phase 6 (CMIP6). The model captures well the spatial distributions and seasonal variations in tropospheric ozone, with seasonal mean biases of 0.42.2 ppbv at 700-400 hPa compared to satellite observations and within 10 ppbv at the surface to 500 hPa compared to global ozonesonde observations. The model has larger high-ozone biases over the tropics which we attribute to an overestimate of ozone chemical production. It underestimates ozone in the upper troposphere which is likely due either to the use of a simplified stratospheric ozone scheme or to biases in estimated stratosphere-troposphere exchange dynamics The model diagnoses the global tropospheric ozone burden, OH concentration, and methane chemical lifetime to be 336 Tg, 1.16 x 10(6) molecule cm(-3), and 8.3 years, respectively, which is consistent with recent multimodel assessments. The spatiotemporal distributions of NO2, CO, SO2, CH2O, and aerosol optical depth are generally in agreement with satellite observations. The development of BCC-GEOS-Chem v1.0 represents an important step for the development of fully coupled earth system models (ESMs) in China.

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语种
英语
学校署名
其他
资助项目
National Key Research and Development Program of China[2017YFC0210102][2016YFA0602100] ; National Natural Science Foundation of China[41922037]
WOS研究方向
Geology
WOS类目
Geosciences, Multidisciplinary
WOS记录号
WOS:000566779800001
出版者
来源库
Web of Science
引用统计
被引频次[WOS]:13
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/186448
专题工学院_环境科学与工程学院
作者单位
1.Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Lab Climate & Ocean Atmosphere Sci, Beijing 100871, Peoples R China
2.Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
3.China Meteorol Adm, Beijing Climate Ctr, Beijing 100081, Peoples R China
4.Univ Iowa, Dept Chem & Biochem Engn, Iowa City, IA 52242 USA
5.Univ Iowa, Ctr Global & Reg Environm Res, Iowa City, IA 52242 USA
6.MIT, Lab Aviat & Environm, 77 Massachusetts Ave, Cambridge, MA 02139 USA
7.Univ Montana, Dept Chem & Biochem, Missoula, MT 59812 USA
8.Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA
9.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China
10.China Meteorol Adm, Natl Meteorol Informat Ctr, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Lu, Xiao,Zhang, Lin,Wu, Tongwen,et al. Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation[J]. Geoscientific Model Development,2020,13(9):3817-3838.
APA
Lu, Xiao.,Zhang, Lin.,Wu, Tongwen.,Long, Michael S..,Wang, Jun.,...&Wei, Min.(2020).Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation.Geoscientific Model Development,13(9),3817-3838.
MLA
Lu, Xiao,et al."Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation".Geoscientific Model Development 13.9(2020):3817-3838.
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