DOI: 10.1002/2013JD020156
论文题名: Observation errors in early historical upper-air observations
作者: Wartenburger R. ; Brönnimann S. ; Stickler A.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 21 起始页码: 12012
结束页码: 12028
语种: 英语
英文关键词: bias
; error estimation
; observation error
; radiosonde
; representativity error
; upper-air observations
Scopus关键词: Atmospheric temperature
; Data processing
; Error analysis
; Estimation
; Radiosondes
; bias
; Geo-potential heights
; Observation errors
; Reanalysis project
; Representativity
; Spatial and temporal variability
; upper-air observations
; Upper-air temperature
; Random errors
; air temperature
; atmospheric pressure
; data assimilation
; error analysis
; geopotential
; metadata
; radiosonde
; spatiotemporal analysis
; temporal period
; upper atmosphere
; wind velocity
英文摘要: Upper-air observations are a fundamental data source for global atmospheric data products, but uncertainties, particularly in the early years, are not well known. Most of the early observations, which have now been digitized, are prone to a large variety of undocumented uncertainties (errors) that need to be quantified, e.g., for their assimilation in reanalysis projects. We apply a novel approach to estimate errors in upper-air temperature, geopotential height, and wind observations from the Comprehensive Historical Upper-Air Network for the time period from 1923 to 1966. We distinguish between random errors, biases, and a term that quantifies the representativity of the observations. The method is based on a comparison of neighboring observations and is hence independent of metadata, making it applicable to a wide scope of observational data sets. The estimated mean random errors for all observations within the study period are 1.5 K for air temperature, 1.3 hPa for pressure, 3.0 ms-1for wind speed, and 21.4° for wind direction. The estimates are compared to results of previous studies and analyzed with respect to their spatial and temporal variability. Key Points We developed a new method for the estimation of errors in upper-air observations We distinguish biases, random observation errors and representativity errors The new error estimates can be used for data assimilation approaches ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63176
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: Oeschger Centre for Climate Change Research, Institute of Geography, University of Bern, Hallerstr. 12, CH-3012, Bern, Switzerland
Recommended Citation:
Wartenburger R.,Brönnimann S.,Stickler A.. Observation errors in early historical upper-air observations[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(21)