Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.6064 |
Comprehensive assessment of Coupled Model Intercomparison Project Phase 5 global climate models using observed temperature and precipitation over mainland Southeast Asia | |
Li, Jing; Liu, Zhaofei; Yao, Zhijun; Wang, Rui | |
2019-08-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:10页码:4139-4153 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | In this study, the performances of 31 global climate models (GCMs) from Coupled Model Intercomparison Project Phase 5 (CMIP5) were evaluated using observed temperature and precipitation data sets for mainland Southeast Asia (MSA). In addition, the technique for order preference by similarity to ideal solution model (TOPSIS), which is an effective multi-objective decision method and has been widely applied in systems engineering, was used to comprehensively evaluate the GCMs on a regional scale. The meteorological variables employed included monthly mean, maximum, and minimum air temperature series and annual/seasonal precipitation during the period 1961-2004. Results showed the overall C-i values ranged from 0.56 to 0.80. Overall, ACCESS1.0, HadGEM2-A, HadGEM2-CC, and CESM1 (BGC) performed better than the other models with respect to air temperature and precipitation over MSA. For meteorological variables, the C-i of extreme temperature by GCMs was 0.65 and higher than mean temperature at 0.61. The performance of GCMs in simulating precipitation during wet season was superior to that for annual and dry season precipitation. With respect to evaluation indicators, most of the GCMs assessed in this study failed to capture observed mean annual air temperature and annual precipitation (they underestimated annual air temperature and overestimated mean annual precipitation). When evaluating the performance of the GCMs with respect to reproducing individual climatic variables, the use of various statistical evaluation criteria provided inconsistent results. These results demonstrate the need to consider the influence of different statistical eigenvalues and to employ multiple indicators when possible to enable a comprehensive evaluation of GCMs. The results of this study provide useful information for climate change, water resource, and agricultural management research in MSA. |
英文关键词 | comprehensive assessment GCMs MSA TOPSIS |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000479031900017 |
WOS关键词 | ECOSYSTEM SERVICES ; PERFORMANCE ; RAINFALL ; TREND ; EXTREMES ; MEKONG ; IMPACT ; GCMS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/185696 |
专题 | 气候变化 |
作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Jing,Liu, Zhaofei,Yao, Zhijun,et al. Comprehensive assessment of Coupled Model Intercomparison Project Phase 5 global climate models using observed temperature and precipitation over mainland Southeast Asia[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(10):4139-4153. |
APA | Li, Jing,Liu, Zhaofei,Yao, Zhijun,&Wang, Rui.(2019).Comprehensive assessment of Coupled Model Intercomparison Project Phase 5 global climate models using observed temperature and precipitation over mainland Southeast Asia.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(10),4139-4153. |
MLA | Li, Jing,et al."Comprehensive assessment of Coupled Model Intercomparison Project Phase 5 global climate models using observed temperature and precipitation over mainland Southeast Asia".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.10(2019):4139-4153. |
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