globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2015JD024584
论文题名:
Reassessing changes in diurnal temperature range: Intercomparison and evaluation of existing global data set estimates
作者: Thorne P.W.; Donat M.G.; Dunn R.J.H.; Williams C.N.; Alexander L.V.; Caesar J.; Durre I.; Harris I.; Hausfather Z.; Jones P.D.; Menne M.J.; Rohde R.; Vose R.S.; Davy R.; Klein-Tank A.M.G.; Lawrimore J.H.; Peterson T.C.; Rennie J.J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期:10
起始页码: 5138
结束页码: 5158
语种: 英语
英文关键词: assessment ; diurnal temperature range ; intercomparison ; trends
Scopus关键词: air temperature ; climate change ; data set ; digitization ; diurnal variation ; homogeneity ; interpolation ; trend analysis ; twentieth century ; Australia ; Europe ; North America
英文摘要: Changes in diurnal temperature range (DTR) over global land areas are compared from a broad range of independent data sets. All data sets agree that global-mean DTR has decreased significantly since 1950, with most of that decrease occurring over 1960–1980. The since-1979 trends are not significant, with inter-data set disagreement even over the sign of global changes. Inter-data set spread becomes greater regionally and in particular at the grid box level. Despite this, there is general agreement that DTR decreased in North America, Europe, and Australia since 1951, with this decrease being partially reversed over Australia and Europe since the early 1980s. There is substantive disagreement between data sets prior to the middle of the twentieth century, particularly over Europe, which precludes making any meaningful conclusions about DTR changes prior to 1950, either globally or regionally. Several variants that undertake a broad range of approaches to postprocessing steps of gridding and interpolation were analyzed for two of the data sets. These choices have a substantial influence in data sparse regions or periods. The potential of further insights is therefore inextricably linked with the efficacy of data rescue and digitization for maximum and minimum temperature series prior to 1950 everywhere and in data sparse regions throughout the period of record. Over North America, station selection and homogeneity assessment is the primary determinant. Over Europe, where the basic station data are similar, the postprocessing choices are dominant. We assess that globally averaged DTR has decreased since the middle twentieth century but that this decrease has not been linear. ©2016. American Geophysical Union. All Rights Reserved. This article has been contributed to by US Government employees and their work is in the public domain in the USA. This article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.
资助项目: CE110001028 ; DE150100456
Citation statistics:
被引频次[WOS]:71   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62856
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: Department of Geography, Maynooth University, Maynooth, Ireland; Nansen Environmental and Remote Sensing Center/Bjerknes Centre for Climate Change, Bergen, Norway; Climate Change Research Centre and ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW, Australia; Met Office Hadley Centre, Exeter, United Kingdom; NOAA's National Centers for Environmental Information, Asheville, NC, United States; Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom; Energy and Resources Group, University of California, Berkeley, CA, United States; Center of Excellence for Climate Change Research / Dept of Meteorology, King Abdulaziz University, Jeddah, Saudi Arabia; Berkeley Earth, Berkeley, CA, United States; KNMI, De Bilt, Netherlands; Unaffiliated, Asheville, NC, United States; Cooperative Institute for Climate and Satellites, Asheville, NC, United States

Recommended Citation:
Thorne P.W.,Donat M.G.,Dunn R.J.H.,et al. Reassessing changes in diurnal temperature range: Intercomparison and evaluation of existing global data set estimates[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(10)
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