Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5972 |
DISO: A rethink of Taylor diagram | |
Hu, Zengyun1,2; Chen, Xi2,3; Zhou, Qiming4; Chen, Deliang5; Li, Jianfeng4 | |
2019-04-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:5页码:2825-2832 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Sweden |
英文摘要 | Climate models use quantitative methods to simulate the interactions of the important drivers of climate system, to reveal the corresponding physical mechanisms, and to project the future climate dynamics among atmosphere, oceans, land surface and ice, such as regional climate models and global climate models. A comprehensive assessment of these climate models is important to identify their different overall performances, such as the accuracy of the simulated temperature and precipitation against the observed field. However, until now, the comprehensive performances of these models have not been quantified by a comprehensive index except the existed single statistical index, such as correlation coefficient (r), absolute error (AE), and the root-mean-square error (RMSE). To address this issue, therefore, in this study, a new comprehensive index Distance between Indices of Simulation and Observation (DISO) is developed to describe the overall performances of different models against the observed field quantitatively. This new index DISO is a merge of different statistical metrics including r, AE, and RMSE according to the distance between the simulated model and observed field in a three-dimension space coordinate system. From the relationship between AE, RMSE, and RMS difference (RMSD) (i.e., standard deviation [SD] of bias time series), the new index also has the information of RMSD which is the statistical index in Taylor diagram. An example is applied objectively to display the applications of DISO and Taylor diagram in identifying the overall performances of different simulated models. Overall, with the strong physical characteristic of the distance in three dimensional space and the strict mathematical proof, the new comprehensive index DISO can convey the performances among different models. It can be applied in the comparison between different model data and in tracking changes in their performances. |
英文关键词 | absolute error comprehensive assessment correlation coefficient DISO root-mean-square error Taylor diagram |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000467048900022 |
WOS关键词 | PRECIPITATION ; TEMPERATURE ; PERFORMANCE ; CHINA ; MODEL ; ENSO |
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/182130 |
专题 | 气候变化 |
作者单位 | 1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China; 2.Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; 3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China; 4.Hong Kong Baptist Univ, Dept Geog, Kowloon, Hong Kong, Peoples R China; 5.Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden |
推荐引用方式 GB/T 7714 | Hu, Zengyun,Chen, Xi,Zhou, Qiming,et al. DISO: A rethink of Taylor diagram[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(5):2825-2832. |
APA | Hu, Zengyun,Chen, Xi,Zhou, Qiming,Chen, Deliang,&Li, Jianfeng.(2019).DISO: A rethink of Taylor diagram.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(5),2825-2832. |
MLA | Hu, Zengyun,et al."DISO: A rethink of Taylor diagram".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.5(2019):2825-2832. |
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