Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5789 |
Structural and sampling uncertainty in observed UK daily precipitation extremes derived from an intercomparison of gridded data sets | |
Simpson, Ian R.; McCarthy, Mark P. | |
2019 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:1页码:128-142 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
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. |
英文关键词 | CEH-GEAR E-OBS gridded data precipitation spatial sampling UK |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000459638400011 |
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/37688 |
专题 | 气候变化 |
作者单位 | UK Met Off, Exeter, Devon, England |
推荐引用方式 GB/T 7714 | Simpson, Ian R.,McCarthy, Mark P.. Structural and sampling uncertainty in observed UK daily precipitation extremes derived from an intercomparison of gridded data sets[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(1):128-142. |
APA | Simpson, Ian R.,&McCarthy, Mark P..(2019).Structural and sampling uncertainty in observed UK daily precipitation extremes derived from an intercomparison of gridded data sets.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(1),128-142. |
MLA | Simpson, Ian R.,et al."Structural and sampling uncertainty in observed UK daily precipitation extremes derived from an intercomparison of gridded data sets".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.1(2019):128-142. |
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