DOI: 10.1002/joc.5488
论文题名: Inter-comparison of methods to homogenize daily relative humidity
作者: Chimani B. ; Venema V. ; Lexer A. ; Andre K. ; Auer I. ; Nemec J.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 7 起始页码: 3106
结束页码: 3122
语种: 英语
英文关键词: daily data
; homogenization
; method comparison
; relative humidity
; surrogate data
; validation data set
Scopus关键词: Atmospheric humidity
; Data flow analysis
; Homogenization method
; Mean square error
; Random errors
; Signal to noise ratio
; Time series
; White noise
; Daily datum
; Evaluation parameters
; Method comparison
; Random measurement
; Root mean square errors
; Statistical characteristics
; Surrogate data
; Validation data
; Quality control
; comparative study
; data set
; homogeneity
; relative humidity
; signal-to-noise ratio
; Austria
英文摘要: Three homogenization methods (ACMANT, MASH and HOMOP) have been evaluated for their efficiency in homogenizing daily relative humidity data. A homogeneous surrogate data set based on Austrian stations was created and perturbed to simulate inhomogeneous, realistic time series (“validation data sets”). Two validation data sets (“simple” and “complex”) were created. In both data sets the magnitude of the breaks depends on the time of year and the measured values. They differ in the number of missing values and especially on whether the break signal was perturbed by white noise. In the latter case, the noise also changed to take into account changes in random measurements errors and other physical factors. The evaluation showed high agreement in statistical characteristics between the real data and the surrogate data set. The homogenization methods were compared in their ability both to detect breaks and to reproduce the homogeneous surrogate data set. For the evaluation of the final data set the distribution, trends and root-mean-square error (RMSE) were analysed. The percentage of improved time series depends on the evaluation parameter considered. Less stations were improved when using the “complex” validation data set. Because of the large number of breaks and the small signal-to-noise ratio, an improvement of the data by homogenization was non-ideal for all methods used, with each having its advantages and disadvantages. The quality of the ACMANT and HOMOP methods is comparable, with ACMANT solving less stations but declaring less stations falsely as homogeneous. To get an impression of the influence on real data, ACMANT was applied to homogenize daily Austrian time series of relative humidity. While the quality of data from some stations can be improved through the homogenization, this is not the case for all time series. A final evaluation of homogenized time series should be performed to ensure their quality before further use. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116871
Appears in Collections: 气候减缓与适应
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作者单位: Climate Research Department, Zentralanstalt für Meteorologie und Geodynamik, Vienna, Austria; Meteorological Institute, University of Bonn, Bonn, Germany
Recommended Citation:
Chimani B.,Venema V.,Lexer A.,et al. Inter-comparison of methods to homogenize daily relative humidity[J]. International Journal of Climatology,2018-01-01,38(7)