DOI: 10.5194/cp-10-2171-2014
Scopus记录号: 2-s2.0-84916888726
论文题名: Investigating uncertainties in global gridded datasets of climate extremes
作者: Dunn R.J.H. ; Donat M.G. ; Alexander L.V.
刊名: Climate of the Past
ISSN: 18149324
出版年: 2014
卷: 10, 期: 6 起始页码: 2171
结束页码: 2199
语种: 英语
Scopus关键词: climate change
; climate modeling
; data set
; land surface
; precipitation (climatology)
; time series
; uncertainty analysis
; Asia
; Europe
; North America
英文摘要: We assess the effects of different methodological choices made during the construction of gridded data sets of climate extremes, focusing primarily on HadEX2. Using global land-surface time series of the indices and their coverage, as well as uncertainty maps, we show that the choices which have the greatest effect are those relating to the station network used or that drastically change the values for individual grid boxes. The latter are most affected by the number of stations required in or around a grid box and the gridding method used. Most parametric changes have a small impact, on global and on grid box scales, whereas structural changes to the methods or input station networks may have large effects. On grid box scales, trends in temperature indices are very robust to most choices, especially in areas which have high station density (e.g. North America, Europe and Asia). The precipitation indices, being less spatially correlated, can be more susceptible to methodological choices, but coherent changes are still clear in regions of high station density. Regional trends from all indices derived from areas with few stations should be treated with care. On a global scale, the linear trends over 1951-2010 from almost all choices fall within the 5-95th percentile range of trends from HadEX2. This demonstrates the robust nature of HadEX2 and related data sets to choices in the creation method. © Author(s) 2014. 资助项目: ARC, Australian Research Council
; ARC, Australian Research Council
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/49197
Appears in Collections: 气候变化与战略
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Recommended Citation:
Dunn R.J.H.,Donat M.G.,Alexander L.V.. Investigating uncertainties in global gridded datasets of climate extremes[J]. Climate of the Past,2014-01-01,10(6)