DOI: 10.1175/JCLI-D-14-00250.1
Scopus记录号: 2-s2.0-84925988269
论文题名: An investigation into the impact of using various techniques to estimate arctic surface air temperature anomalies
作者: Dodd E.M.A. ; Merchant C.J. ; Rayner N.A. ; Morice C.P.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 5 起始页码: 1743
结束页码: 1763
语种: 英语
Scopus关键词: Atmospheric temperature
; Equipment testing
; Errors
; Ice
; Interpolation
; Mean square error
; Meteorology
; Sea ice
; Statistical tests
; Time series
; Arctic
; Arctic surface air temperature
; Estimation techniques
; Linear interpolation technique
; Meteorological station
; Reanalysis
; Root mean square errors
; Surface air temperatures
; Climate change
; air temperature
; arctic environment
; climate change
; interpolation
; kriging
; sea ice
; temperature anomaly
; time series analysis
英文摘要: Time series of global and regional mean surface air temperature (SAT) anomalies are a common metric used to estimate recent climate change. Various techniques can be used to create these time series from meteorological station data. The degree of difference arising from using five different techniques, based on existing temperature anomaly dataset techniques, to estimate Arctic SAT anomalies over land and sea ice was investigated using reanalysis data as a test bed. Techniques that interpolated anomalies were found to result in smaller errors than noninterpolating techniques relative to the reanalysis reference. Kriging techniques provided the smallest errors in estimates of Arctic anomalies, and simple kriging was often the best kriging method in this study, especially over sea ice. A linear interpolation technique had, on average, root-mean-square errors (RMSEs) up to 0.55 K larger than the two kriging techniques tested. Noninterpolating techniques provided the least representative anomaly estimates. Nonetheless, they serve as useful checks for confirming whether estimates from interpolating techniques are reasonable. The interaction of meteorological station coverage with estimation techniques between 1850 and 2011 was simulated using an ensemble dataset comprising repeated individual years (1979-2011). All techniques were found to have larger RMSEs for earlier station coverages. This supports calls for increased data sharing and data rescue, especially in sparsely observed regions such as the Arctic. © 2015 American Meteorological Society. 资助项目: NERC, Natural Environment Research Council
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50452
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Meteorology, University of Reading, Reading, United Kingdom; Met Office Hadley Centre, Exeter, United Kingdom
Recommended Citation:
Dodd E.M.A.,Merchant C.J.,Rayner N.A.,et al. An investigation into the impact of using various techniques to estimate arctic surface air temperature anomalies[J]. Journal of Climate,2015-01-01,28(5)