DOI: 10.1175/JCLI-D-13-00405.1
Scopus记录号: 2-s2.0-84903398793
论文题名: Consistency of temperature and precipitation extremes across various global gridded in situ and reanalysis datasets
作者: Donat M.G. ; Sillmann J. ; Wild S. ; Alexander L.V. ; Lippmann T. ; Zwiers F.W.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 13 起始页码: 5019
结束页码: 5035
语种: 英语
Scopus关键词: Precipitation (meteorology)
; Temperature
; Time series
; Climate variability
; Computational approach
; Extreme events
; Precipitation extremes
; Reanalysis
; Surface observation
; Temporal and spatial correlation
; Temporal and spatial variability
; Climatology
; air temperature
; climate change
; climatology
; data set
; extreme event
; precipitation (climatology)
英文摘要: Changes in climate extremes are often monitored using global gridded datasets of climate extremes based on in situ observations or reanalysis data. This study assesses the consistency of temperature and precipitation extremes between these datasets. Both the temporal evolution and spatial patterns of annual extremes of daily values are compared across multiple global gridded datasets of in situ observations and reanalyses to make inferences on the robustness of the obtained results. While normalized time series generally compare well, the actual values of annual extremes of daily data differ systematically across the different datasets. This is partly related to different computational approaches when calculating the gridded fields of climate extremes. There is strong agreement between extreme temperatures in the different in situ-based datasets. Larger differences are found for temperature extremes from the reanalyses, particularly during the presatellite era, indicating that reanalyses are most consistent with purely observational-based analyses of changes in climate extremes for the three most recent decades. In terms of both temporal and spatial correlations, theECMWFreanalyses tend to show greater agreement with the gridded in situ-based datasets than the NCEP reanalyses and Japanese 25-year Reanalysis Project (JRA- 25). Extreme precipitation is characterized by higher temporal and spatial variability than extreme temperatures, and there is less agreement between different datasets than for temperature. However, reasonable agreement between the gridded observational precipitation datasets remains. Extreme precipitation patterns and time series from reanalyses show lower agreement but generally still correlate significantly. © 2014 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51043
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Climate Change Research Centre, ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW, Australia; University of Victoria, Victoria, BC, Canada; School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, United Kingdom; Pacific Climate Impacts Consortium, Victoria, BC, Canada
Recommended Citation:
Donat M.G.,Sillmann J.,Wild S.,et al. Consistency of temperature and precipitation extremes across various global gridded in situ and reanalysis datasets[J]. Journal of Climate,2014-01-01,27(13)