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DOI | 10.1002/joc.5173 |
Evaluation of NCEP-2 and CFSR reanalysis seasonal temperature data in China using detrended fluctuation analysis | |
Zhao, Shanshan1,2; He, Wenping1,2,3; Jiang, Yundi1,3 | |
2018 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38期号:1页码:252-263 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | In the present study, the performance of the National Centers for Environmental Prediction/Department of Energy (NCEP/DOE) Atmospheric Model Intercomparison Project (AMIP-II) reanalysis (NCEP-2) and NCEP Climate Forecast System Reanalysis (CFSR) seasonal temperature data for China was quantitatively evaluated by using detrended fluctuation analysis. The results indicate that the quality of the NCEP-2 temperature data is the highest in autumn, while the quality of CFSR data set is the highest in summer. Both the quality of NCEP-2 and that of CFSR temperature data is the lowest in winter. The quality is very low in eastern Tibetan Plateau and most of Xinjiang at a significance level of 0.05 for the NCEP-2 and CFSR reanalysis temperature data including three elements: the daily average temperature (T-mean), the daily maximum temperature (T-max) and the daily minimum temperature (T-min). The performance of the NCEP-2T(mean) data is poorer than those of the NCEP-2T(max) and T-min data for all four seasons, while the performance of CFSRTmean is better than that of CFSRTmax and T-min for all four seasons. In addition, the NCEP-2T(max), T-min and CFSRTmean, T-max data perform well in most of central and eastern China for all four seasons. The quality of the CFSRTmean is better than that of the NCEP-2T(mean) for all four seasons. However, the NCEP-2T(max) and T-min data have higher credibility than that of the CFSRTmax and T-min data for all four seasons. Therefore, it is important to consider the reliability of the NCEP-2 and CFSR daily temperature reanalysis data in different districts and seasons when drawing conclusions from the different reanalysis data. |
英文关键词 | detrended fluctuation analysis scaling exponent long-range correlation quality of reanalysis data |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000419093600018 |
WOS关键词 | TEMPORAL-SPATIAL DISTRIBUTION ; SEA-SURFACE TEMPERATURE ; LONG-RANGE CORRELATIONS ; ERA-INTERIM ; PREDICTABILITY LIMIT ; NCEP/NCAR REANALYSIS ; NCAR REANALYSIS ; CLIMATE ; MEMORY ; CIRCULATION |
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/36785 |
专题 | 气候变化 |
作者单位 | 1.China Meteorol Adm, Natl Climate Ctr, Zhongguancun South St 46, Beijing 100081, Peoples R China; 2.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China; 3.Beijing Normal Univ, Future Earth Res Inst, Zhuhai Joint Innovat Ctr Climate Environm Ecosyst, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Shanshan,He, Wenping,Jiang, Yundi. Evaluation of NCEP-2 and CFSR reanalysis seasonal temperature data in China using detrended fluctuation analysis[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(1):252-263. |
APA | Zhao, Shanshan,He, Wenping,&Jiang, Yundi.(2018).Evaluation of NCEP-2 and CFSR reanalysis seasonal temperature data in China using detrended fluctuation analysis.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(1),252-263. |
MLA | Zhao, Shanshan,et al."Evaluation of NCEP-2 and CFSR reanalysis seasonal temperature data in China using detrended fluctuation analysis".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.1(2018):252-263. |
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