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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
Source PublicationINTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
Volume39Issue:10Pages:4139-4153
Corresponding AuthorLiu, Zhaofei(zfliu@igsnrr.ac.cn)
AbstractIn 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.
Keywordcomprehensive assessment GCMs MSA TOPSIS
DOI10.1002/joc.6064
WOS KeywordECOSYSTEM SERVICES ; PERFORMANCE ; RAINFALL ; TREND ; EXTREMES ; MEKONG ; IMPACT ; GCMS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41561144012] ; National Natural Science Foundation of China[41571027] ; National Natural Science Foundation of China[4161101254]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000479031900017
PublisherWILEY
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68785
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Zhaofei
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
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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