DOI: 10.1002/joc.5874
Scopus记录号: 2-s2.0-85056663992
论文题名: Homogenization of daily temperature series in the European Climate Assessment & Dataset
作者: Squintu A.A. ; van der Schrier G. ; Brugnara Y. ; Klein Tank A.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2019
卷: 39, 期: 3 起始页码: 1243
结束页码: 1261
语种: 英语
英文关键词: Europe
; homogenization
; quantile matching
; temperature
; trends
Scopus关键词: Climatology
; Homogenization method
; Temperature
; Automated methods
; Climate assessment
; Daily temperatures
; Europe
; Maximum and minimum temperatures
; quantile matching
; Spatially homogeneous
; trends
; Earth atmosphere
英文摘要: The daily maximum and minimum temperature series of the European Climate Assessment & Dataset are homogenized using the quantile matching approach. As the dataset is large and the detail of metadata is generally missing, an automated method locates breaks in the series based on a comparison with surrounding series and applies adjustments which are estimated using homogeneous segments of surrounding series as reference. A total of 6,500 series have been processed and after removing duplicates and short series, about 2,100 series have been adjusted. Finally, the effect of the homogenization of daily maximum and minimum temperature on trend estimation is shown to produce a much more spatially homogeneous and then plausible picture. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116529
Appears in Collections: 全球变化的国际研究计划
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作者单位: Koninklijk Nederlands Meteorologisch Instituut, RDW&D, De Bilt, Netherlands; Department of Meteorology and Air Quality, University of Wageningen, Wageningen, Netherlands; Institute of Geography, University of Bern, Bern, Switzerland
Recommended Citation:
Squintu A.A.,van der Schrier G.,Brugnara Y.,et al. Homogenization of daily temperature series in the European Climate Assessment & Dataset[J]. International Journal of Climatology,2019-01-01,39(3)