DOI: 10.1002/jgrd.50799
论文题名: How well does the ERA-Interim reanalysis replicate trends in extremes of surface temperature across Europe?
作者: Cornes R.C. ; Jones P.D.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 18 起始页码: 10262
结束页码: 10276
语种: 英语
英文关键词: E-OBS
; ERA-Interim
; ETCCDI
; extremes
; temperature trends
; Theil-Sen
Scopus关键词: Atmospheric temperature
; Weather forecasting
; E-OBS
; Era interims
; ETCCDI
; extremes
; Temperature trends
; Theil-Sen
; Information dissemination
; climate classification
; data acquisition
; optimization
; seasonal variation
; surface temperature
; weather station
; Europe
英文摘要: Trends in extremes of daily maximum and minimum temperature across Europe derived from the European Centre for Medium-Range Weather Forecasts ERA-Interim reanalysis are compared against observed data. The period 1980-2011 is considered and both station series and the gridded E-OBS data are used to determine the success of the reanalysis, with indices of the numbers of days above or respectively below the 90th and 10th percentiles of daily maximum and minimum temperature used as metrics. It is shown in this paper that the ERA-Interim reanalysis data are generally very good at replicating both the seasonally and spatially varying trends in the indices across Europe. At the station level, the reanalysis data are also able to depict the observed trends remarkably well. However, the success of the reanalysis data depends on the season and the particular index considered. The reanalysis is least successful in replicating trends in the number of days exceeding the 90th percentile of maximum temperature, particularly during the summer season. The success of the reanalysis is also somewhat dependent on the time step of the reanalysis data used. Daily maximum and minimum temperatures calculated from the 3-hourly time step reanalysis data tend to be more reliable than those derived from the 12-hourly data. Key Points Trends in extremes of temperature are replicated well by the reanalysis dataTrends are replicated best in the winter and worst in the spring and summerThe 12-hour time step reanalysis data are less consistent with observations ©2013. American Geophysical Union. All Rights Reserved. 资助项目: DE-SC0005689
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63316
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Climatic Research Unit, School of Environmental Sciences, University of Anglia, Norwich Research Park, Norwich NR4 7TJ, United Kingdom; Center of Excellence for Climate Change Research, Department of Meteorology, King Abdulaziz University, Jeddah, Saudi Arabia
Recommended Citation:
Cornes R.C.,Jones P.D.. How well does the ERA-Interim reanalysis replicate trends in extremes of surface temperature across Europe?[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(18)