DOI: 10.1002/joc.5173
论文题名: Evaluation of NCEP-2 and CFSR reanalysis seasonal temperature data in China using detrended fluctuation analysis
作者: Zhao S. ; He W. ; Jiang Y.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 1 起始页码: 252
结束页码: 263
语种: 英语
英文关键词: detrended fluctuation analysis
; long-range correlation
; quality of reanalysis data
; scaling exponent
Scopus关键词: Atmospheric humidity
; Climate models
; Quality control
; Atmospheric model intercomparison projects
; Detrended fluctuation analysis
; Eastern Tibetan plateau
; Long range correlations
; Minimum temperatures
; National centers for environmental predictions
; Reanalysis
; Scaling exponent
; Atmospheric temperature
; air temperature
; atmospheric modeling
; correlation
; quantitative analysis
; regional climate
; seasonal variation
; statistical analysis
; weather forecasting
; China
; Qinghai-Xizang Plateau
; Xinjiang Uygur
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-2 T mean data is poorer than those of the NCEP-2 T max and T min data for all four seasons, while the performance of CFSR T mean is better than that of CFSR T max and T min for all four seasons. In addition, the NCEP-2 T max , T min and CFSR T mean , T max data perform well in most of central and eastern China for all four seasons. The quality of the CFSR T mean is better than that of the NCEP-2 T mean for all four seasons. However, the NCEP-2 T max and T min data have higher credibility than that of the CFSR T max 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. © 2017 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117174
Appears in Collections: 气候减缓与适应
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作者单位: National Climate Center, China Meteorological Administration, Beijing, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Sciences & Technology, China; Zhuhai Joint Innovative Center for Climate–Environment–Ecosystem, Future Earth Research Institute, Beijing Normal University, China
Recommended Citation:
Zhao S.,He W.,Jiang Y.. Evaluation of NCEP-2 and CFSR reanalysis seasonal temperature data in China using detrended fluctuation analysis[J]. International Journal of Climatology,2018-01-01,38(1)