Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.atmosres.2021.105451 |
Assessment of CMIP6 in simulating precipitation over arid Central Asia | |
Guo, Hao; Bao, Anming; Chen, Tao; Zheng, Guoxiong; Wang, Yunqian; Jiang, Liangliang; De Maeyer, Philippe | |
通讯作者 | Bao, AM (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China. |
来源期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2021 |
卷号 | 252 |
英文摘要 | Precipitation outputs from 30 Global Circulation Models (GCMs) of the Coupled Model Inter-comparison Project Phase 6 (CMIP6) were evaluated from 1951 to 2014 over six climate zones in arid Central Asia (ACA) using the Climate Research Unit TS 4.04 (CRU) precipitation datasets as reference. An evaluation framework was constructed taking into account metrics of annual precipitation patterns, annual cycle precipitation statistics, categorical validation and long-term precipitation trend. The performance of GCMs vary from region to region. Compared to CRU, the 30 selected GCMs present considerable wet bias in the Southern Xinjiang (SX) and Hexi Corridor (HC) regions which can be larger than 100%. The simulated precipitation from most GCMs shows a consistent annual cycle shape and closer with that of observations in the western ACA, but fails to capture precipitation peak in NK and NX regions. Compared to NK, CD, TM and NX, all models and the full model ensemble have limited ability in reproducing the Probability Density Function (PDF) of observations over SX and HC. Most GCMs show limited competence to reproduce the long-term precipitation trend with high wet bias over the Hexi Corridor. Based on the comprehensive performance ranking, it is discovered that CESM2, CESM2-FV2, CESM2-WACCM and CESM2-WACCM-FV2 from NCAR, ACCESS-CM2 from CSIRO and CanESM5 from Canadian Centre for Climate Modeling demonstrate better performances across ACA. The ensemble of 30 selected GCMs has limited ability to accurately simulate precipitation according to the above four types of metrics. The results of this paper may provide scientific guidance to CMIP6 end-users when selecting the most suitable GCMs for their specific applications over ACA. |
英文关键词 | Performance evaluation Precipitation CMIP6 General circulation models Arid Central Asia |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000620262700004 |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
来源机构 | 中国科学院新疆生态与地理研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/368855 |
作者单位 | [Guo, Hao; Wang, Yunqian] Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China; [Guo, Hao; Wang, Yunqian] Qufu Normal Univ, Rizhao Key Lab Terr Spatial Planning & Ecol Const, Rizhao 276825, Peoples R China; [Bao, Anming; Zheng, Guoxiong; De Maeyer, Philippe] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Bao, Anming] CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan; [Chen, Tao] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China; [Jiang, Liangliang] Chongqing Normal Univ, Sch Geog & Tourism Sci, Chongqing 401331, Peoples R China; [De Maeyer, Philippe] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium |
推荐引用方式 GB/T 7714 | Guo, Hao,Bao, Anming,Chen, Tao,et al. Assessment of CMIP6 in simulating precipitation over arid Central Asia[J]. 中国科学院新疆生态与地理研究所,2021,252. |
APA | Guo, Hao.,Bao, Anming.,Chen, Tao.,Zheng, Guoxiong.,Wang, Yunqian.,...&De Maeyer, Philippe.(2021).Assessment of CMIP6 in simulating precipitation over arid Central Asia.ATMOSPHERIC RESEARCH,252. |
MLA | Guo, Hao,et al."Assessment of CMIP6 in simulating precipitation over arid Central Asia".ATMOSPHERIC RESEARCH 252(2021). |
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