Comprehensive assessment of Coupled Model Intercomparison Project Phase 5 global climate models using observed temperature and precipitation over mainland Southeast Asia
文献类型：期刊论文
| 作者 | Li, Jing; Liu, Zhaofei; Yao, Zhijun; Wang, Rui |
| 刊名 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
 |
| 出版日期 | 2019-08-01 |
| 卷号 | 39期号:10页码:4139-4153 |
| 关键词 | comprehensive assessment GCMs MSA TOPSIS |
| ISSN号 | 0899-8418 |
| DOI | 10.1002/joc.6064 |
| 通讯作者 | Liu, Zhaofei(zfliu@igsnrr.ac.cn) |
| 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. |
| WOS关键词 | ECOSYSTEM SERVICES ; PERFORMANCE ; RAINFALL ; TREND ; EXTREMES ; MEKONG ; IMPACT ; GCMS |
| 资助项目 | National Natural Science Foundation of China[41561144012] ; National Natural Science Foundation of China[41571027] ; National Natural Science Foundation of China[4161101254] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000479031900017 |
| 出版者 | WILEY |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/68784]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Zhaofei |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。