DOI: 10.1002/joc.5789
Scopus记录号: 2-s2.0-85052633932
论文题名: Structural and sampling uncertainty in observed UK daily precipitation extremes derived from an intercomparison of gridded data sets
作者: Simpson I.R. ; McCarthy M.P.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2019
卷: 39, 期: 1 起始页码: 128
结束页码: 142
语种: 英语
英文关键词: CEH-GEAR
; E-OBS
; gridded data
; precipitation
; spatial sampling
; UK
Scopus关键词: Precipitation (chemical)
; Rain
; Climatological data
; Daily precipitations
; gridded data
; Homogeneous network
; Sampling strategies
; Sampling uncertainties
; Spatial sampling
; Structural uncertainty
; Interpolation
; data set
; extreme event
; precipitation assessment
; precipitation intensity
; spatial variation
; uncertainty analysis
; United Kingdom
英文摘要: This paper compares multiple gridded data sets of daily UK precipitation to evaluate structural uncertainty in our reconstructions of historical rainfall. The data sets compared reflect two different sampling strategies and three different grid interpolation methods. In order to separate the influence of sampling and interpolation uncertainties, one of the data sets (produced by the Met Office) has been recreated using the sampling strategy of stations used in the European (E-OBS) data set. The results confirm and build upon previous studies showing that relying on a relatively sparse but homogeneous network of stations limits the ability of the resulting data set to reliably estimate extreme rainfall at the daily timescale. It is shown that gridding methods that additionally make use of reference climatological data can avoid systematic bias in both the average and extreme events even when using a relatively sparse network of observations. This is an encouraging result in terms of our potential to reliably extend such data sets further back in time where the availability of digitized data is substantially lower than the more modern era. © 2018 Crown copyright. International Journal of Climatology © 2018 Royal Meteorological SocietyThis article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116676
Appears in Collections: 全球变化的国际研究计划
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作者单位: UK Met Office, Exeter, United Kingdom
Recommended Citation:
Simpson I.R.,McCarthy M.P.. Structural and sampling uncertainty in observed UK daily precipitation extremes derived from an intercomparison of gridded data sets[J]. International Journal of Climatology,2019-01-01,39(1)